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10 Commits
master
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ndstrides-
| Author | SHA1 | Date | |
|---|---|---|---|
| 59bea2cd4d | |||
| c1913f11c6 | |||
| 7f4b4597c5 | |||
| 1a61a000b2 | |||
| ec61b50486 | |||
| b523a3e227 | |||
| e4b050a64b | |||
| 897c26bcfa | |||
| 1ce76bcfc9 | |||
| 0bc98c447d |
@ -1,7 +1,7 @@
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|
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308
Cargo.lock
generated
308
Cargo.lock
generated
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|
||||
checksum = "5e719e8df665df0d1c8fbfd238015744736151d4445ec0836b8e628aae103b77"
|
||||
dependencies = [
|
||||
"unicode-ident",
|
||||
]
|
||||
@ -927,7 +882,7 @@ dependencies = [
|
||||
"proc-macro2",
|
||||
"pyo3-macros-backend",
|
||||
"quote",
|
||||
"syn 2.0.90",
|
||||
"syn 2.0.79",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -940,7 +895,7 @@ dependencies = [
|
||||
"proc-macro2",
|
||||
"pyo3-build-config",
|
||||
"quote",
|
||||
"syn 2.0.90",
|
||||
"syn 2.0.79",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1004,18 +959,18 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "redox_syscall"
|
||||
version = "0.5.8"
|
||||
version = "0.5.7"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "03a862b389f93e68874fbf580b9de08dd02facb9a788ebadaf4a3fd33cf58834"
|
||||
checksum = "9b6dfecf2c74bce2466cabf93f6664d6998a69eb21e39f4207930065b27b771f"
|
||||
dependencies = [
|
||||
"bitflags",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "regex"
|
||||
version = "1.11.1"
|
||||
version = "1.11.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "b544ef1b4eac5dc2db33ea63606ae9ffcfac26c1416a2806ae0bf5f56b201191"
|
||||
checksum = "38200e5ee88914975b69f657f0801b6f6dccafd44fd9326302a4aaeecfacb1d8"
|
||||
dependencies = [
|
||||
"aho-corasick",
|
||||
"memchr",
|
||||
@ -1025,9 +980,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "regex-automata"
|
||||
version = "0.4.9"
|
||||
version = "0.4.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "809e8dc61f6de73b46c85f4c96486310fe304c434cfa43669d7b40f711150908"
|
||||
checksum = "368758f23274712b504848e9d5a6f010445cc8b87a7cdb4d7cbee666c1288da3"
|
||||
dependencies = [
|
||||
"aho-corasick",
|
||||
"memchr",
|
||||
@ -1049,22 +1004,22 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "rustix"
|
||||
version = "0.38.42"
|
||||
version = "0.38.37"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "f93dc38ecbab2eb790ff964bb77fa94faf256fd3e73285fd7ba0903b76bedb85"
|
||||
checksum = "8acb788b847c24f28525660c4d7758620a7210875711f79e7f663cc152726811"
|
||||
dependencies = [
|
||||
"bitflags",
|
||||
"errno",
|
||||
"libc",
|
||||
"linux-raw-sys",
|
||||
"windows-sys 0.59.0",
|
||||
"windows-sys 0.52.0",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "rustversion"
|
||||
version = "1.0.18"
|
||||
version = "1.0.17"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0e819f2bc632f285be6d7cd36e25940d45b2391dd6d9b939e79de557f7014248"
|
||||
checksum = "955d28af4278de8121b7ebeb796b6a45735dc01436d898801014aced2773a3d6"
|
||||
|
||||
[[package]]
|
||||
name = "ryu"
|
||||
@ -1089,35 +1044,35 @@ checksum = "94143f37725109f92c262ed2cf5e59bce7498c01bcc1502d7b9afe439a4e9f49"
|
||||
|
||||
[[package]]
|
||||
name = "semver"
|
||||
version = "1.0.24"
|
||||
version = "1.0.23"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "3cb6eb87a131f756572d7fb904f6e7b68633f09cca868c5df1c4b8d1a694bbba"
|
||||
checksum = "61697e0a1c7e512e84a621326239844a24d8207b4669b41bc18b32ea5cbf988b"
|
||||
|
||||
[[package]]
|
||||
name = "serde"
|
||||
version = "1.0.216"
|
||||
version = "1.0.210"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0b9781016e935a97e8beecf0c933758c97a5520d32930e460142b4cd80c6338e"
|
||||
checksum = "c8e3592472072e6e22e0a54d5904d9febf8508f65fb8552499a1abc7d1078c3a"
|
||||
dependencies = [
|
||||
"serde_derive",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "serde_derive"
|
||||
version = "1.0.216"
|
||||
version = "1.0.210"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "46f859dbbf73865c6627ed570e78961cd3ac92407a2d117204c49232485da55e"
|
||||
checksum = "243902eda00fad750862fc144cea25caca5e20d615af0a81bee94ca738f1df1f"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.90",
|
||||
"syn 2.0.79",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "serde_json"
|
||||
version = "1.0.133"
|
||||
version = "1.0.128"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "c7fceb2473b9166b2294ef05efcb65a3db80803f0b03ef86a5fc88a2b85ee377"
|
||||
checksum = "6ff5456707a1de34e7e37f2a6fd3d3f808c318259cbd01ab6377795054b483d8"
|
||||
dependencies = [
|
||||
"itoa",
|
||||
"memchr",
|
||||
@ -1125,15 +1080,6 @@ dependencies = [
|
||||
"serde",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "serde_spanned"
|
||||
version = "0.6.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "87607cb1398ed59d48732e575a4c28a7a8ebf2454b964fe3f224f2afc07909e1"
|
||||
dependencies = [
|
||||
"serde",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "serde_yaml"
|
||||
version = "0.8.26"
|
||||
@ -1226,7 +1172,7 @@ dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"rustversion",
|
||||
"syn 2.0.90",
|
||||
"syn 2.0.79",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1242,9 +1188,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "syn"
|
||||
version = "2.0.90"
|
||||
version = "2.0.79"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "919d3b74a5dd0ccd15aeb8f93e7006bd9e14c295087c9896a110f490752bcf31"
|
||||
checksum = "89132cd0bf050864e1d38dc3bbc07a0eb8e7530af26344d3d2bbbef83499f590"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
@ -1257,17 +1203,11 @@ version = "0.12.16"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "61c41af27dd6d1e27b1b16b489db798443478cef1f06a660c96db617ba5de3b1"
|
||||
|
||||
[[package]]
|
||||
name = "target-triple"
|
||||
version = "0.1.3"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "42a4d50cdb458045afc8131fd91b64904da29548bcb63c7236e0844936c13078"
|
||||
|
||||
[[package]]
|
||||
name = "tempfile"
|
||||
version = "3.14.0"
|
||||
version = "3.13.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "28cce251fcbc87fac86a866eeb0d6c2d536fc16d06f184bb61aeae11aa4cee0c"
|
||||
checksum = "f0f2c9fc62d0beef6951ccffd757e241266a2c833136efbe35af6cd2567dca5b"
|
||||
dependencies = [
|
||||
"cfg-if",
|
||||
"fastrand",
|
||||
@ -1286,15 +1226,6 @@ dependencies = [
|
||||
"windows-sys 0.52.0",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "termcolor"
|
||||
version = "1.4.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "06794f8f6c5c898b3275aebefa6b8a1cb24cd2c6c79397ab15774837a0bc5755"
|
||||
dependencies = [
|
||||
"winapi-util",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "test-case"
|
||||
version = "1.2.3"
|
||||
@ -1310,72 +1241,22 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "thiserror"
|
||||
version = "1.0.69"
|
||||
version = "1.0.64"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "b6aaf5339b578ea85b50e080feb250a3e8ae8cfcdff9a461c9ec2904bc923f52"
|
||||
checksum = "d50af8abc119fb8bb6dbabcfa89656f46f84aa0ac7688088608076ad2b459a84"
|
||||
dependencies = [
|
||||
"thiserror-impl",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "thiserror-impl"
|
||||
version = "1.0.69"
|
||||
version = "1.0.64"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "4fee6c4efc90059e10f81e6d42c60a18f76588c3d74cb83a0b242a2b6c7504c1"
|
||||
checksum = "08904e7672f5eb876eaaf87e0ce17857500934f4981c4a0ab2b4aa98baac7fc3"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.90",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "toml"
|
||||
version = "0.8.19"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "a1ed1f98e3fdc28d6d910e6737ae6ab1a93bf1985935a1193e68f93eeb68d24e"
|
||||
dependencies = [
|
||||
"serde",
|
||||
"serde_spanned",
|
||||
"toml_datetime",
|
||||
"toml_edit",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "toml_datetime"
|
||||
version = "0.6.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0dd7358ecb8fc2f8d014bf86f6f638ce72ba252a2c3a2572f2a795f1d23efb41"
|
||||
dependencies = [
|
||||
"serde",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "toml_edit"
|
||||
version = "0.22.22"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "4ae48d6208a266e853d946088ed816055e556cc6028c5e8e2b84d9fa5dd7c7f5"
|
||||
dependencies = [
|
||||
"indexmap 2.7.0",
|
||||
"serde",
|
||||
"serde_spanned",
|
||||
"toml_datetime",
|
||||
"winnow",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "trybuild"
|
||||
version = "1.0.101"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "8dcd332a5496c026f1e14b7f3d2b7bd98e509660c04239c58b0ba38a12daded4"
|
||||
dependencies = [
|
||||
"dissimilar",
|
||||
"glob",
|
||||
"serde",
|
||||
"serde_derive",
|
||||
"serde_json",
|
||||
"target-triple",
|
||||
"termcolor",
|
||||
"toml",
|
||||
"syn 2.0.79",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1438,9 +1319,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "unicode-ident"
|
||||
version = "1.0.14"
|
||||
version = "1.0.13"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "adb9e6ca4f869e1180728b7950e35922a7fc6397f7b641499e8f3ef06e50dc83"
|
||||
checksum = "e91b56cd4cadaeb79bbf1a5645f6b4f8dc5bde8834ad5894a8db35fda9efa1fe"
|
||||
|
||||
[[package]]
|
||||
name = "unicode-width"
|
||||
@ -1601,15 +1482,6 @@ version = "0.52.6"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
|
||||
|
||||
[[package]]
|
||||
name = "winnow"
|
||||
version = "0.6.20"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "36c1fec1a2bb5866f07c25f68c26e565c4c200aebb96d7e55710c19d3e8ac49b"
|
||||
dependencies = [
|
||||
"memchr",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "yaml-rust"
|
||||
version = "0.4.5"
|
||||
@ -1637,5 +1509,5 @@ checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.90",
|
||||
"syn 2.0.79",
|
||||
]
|
||||
|
||||
@ -4,7 +4,6 @@ members = [
|
||||
"nac3ast",
|
||||
"nac3parser",
|
||||
"nac3core",
|
||||
"nac3core/nac3core_derive",
|
||||
"nac3standalone",
|
||||
"nac3artiq",
|
||||
"runkernel",
|
||||
|
||||
6
flake.lock
generated
6
flake.lock
generated
@ -2,11 +2,11 @@
|
||||
"nodes": {
|
||||
"nixpkgs": {
|
||||
"locked": {
|
||||
"lastModified": 1733940404,
|
||||
"narHash": "sha256-Pj39hSoUA86ZePPF/UXiYHHM7hMIkios8TYG29kQT4g=",
|
||||
"lastModified": 1727348695,
|
||||
"narHash": "sha256-J+PeFKSDV+pHL7ukkfpVzCOO7mBSrrpJ3svwBFABbhI=",
|
||||
"owner": "NixOS",
|
||||
"repo": "nixpkgs",
|
||||
"rev": "5d67ea6b4b63378b9c13be21e2ec9d1afc921713",
|
||||
"rev": "1925c603f17fc89f4c8f6bf6f631a802ad85d784",
|
||||
"type": "github"
|
||||
},
|
||||
"original": {
|
||||
|
||||
10
flake.nix
10
flake.nix
@ -107,18 +107,18 @@
|
||||
(pkgs.fetchFromGitHub {
|
||||
owner = "m-labs";
|
||||
repo = "sipyco";
|
||||
rev = "094a6cd63ffa980ef63698920170e50dc9ba77fd";
|
||||
sha256 = "sha256-PPnAyDedUQ7Og/Cby9x5OT9wMkNGTP8GS53V6N/dk4w=";
|
||||
rev = "939f84f9b5eef7efbf7423c735d1834783b6140e";
|
||||
sha256 = "sha256-15Nun4EY35j+6SPZkjzZtyH/ncxLS60KuGJjFh5kSTc=";
|
||||
})
|
||||
(pkgs.fetchFromGitHub {
|
||||
owner = "m-labs";
|
||||
repo = "artiq";
|
||||
rev = "28c9de3e251daa89a8c9fd79d5ab64a3ec03bac6";
|
||||
sha256 = "sha256-vAvpbHc5B+1wtG8zqN7j9dQE1ON+i22v+uqA+tw6Gak=";
|
||||
rev = "923ca3377d42c815f979983134ec549dc39d3ca0";
|
||||
sha256 = "sha256-oJoEeNEeNFSUyh6jXG8Tzp6qHVikeHS0CzfE+mODPgw=";
|
||||
})
|
||||
];
|
||||
buildInputs = [
|
||||
(python3-mimalloc.withPackages(ps: [ ps.numpy ps.scipy ps.jsonschema ps.lmdb ps.platformdirs nac3artiq-instrumented ]))
|
||||
(python3-mimalloc.withPackages(ps: [ ps.numpy ps.scipy ps.jsonschema ps.lmdb nac3artiq-instrumented ]))
|
||||
pkgs.llvmPackages_14.llvm.out
|
||||
];
|
||||
phases = [ "buildPhase" "installPhase" ];
|
||||
|
||||
@ -7,6 +7,33 @@ class EmbeddingMap:
|
||||
self.function_map = {}
|
||||
self.attributes_writeback = []
|
||||
|
||||
# preallocate exception names
|
||||
self.preallocate_runtime_exception_names(["RuntimeError",
|
||||
"RTIOUnderflow",
|
||||
"RTIOOverflow",
|
||||
"RTIODestinationUnreachable",
|
||||
"DMAError",
|
||||
"I2CError",
|
||||
"CacheError",
|
||||
"SPIError",
|
||||
"0:ZeroDivisionError",
|
||||
"0:IndexError",
|
||||
"0:ValueError",
|
||||
"0:RuntimeError",
|
||||
"0:AssertionError",
|
||||
"0:KeyError",
|
||||
"0:NotImplementedError",
|
||||
"0:OverflowError",
|
||||
"0:IOError",
|
||||
"0:UnwrapNoneError"])
|
||||
|
||||
def preallocate_runtime_exception_names(self, names):
|
||||
for i, name in enumerate(names):
|
||||
if ":" not in name:
|
||||
name = "0:artiq.coredevice.exceptions." + name
|
||||
exn_id = self.store_str(name)
|
||||
assert exn_id == i
|
||||
|
||||
def store_function(self, key, fun):
|
||||
self.function_map[key] = fun
|
||||
return key
|
||||
|
||||
@ -206,7 +206,7 @@ class Core:
|
||||
embedding = EmbeddingMap()
|
||||
|
||||
if allow_registration:
|
||||
compiler.analyze(registered_functions, registered_classes, set())
|
||||
compiler.analyze(registered_functions, registered_classes)
|
||||
allow_registration = False
|
||||
|
||||
if hasattr(method, "__self__"):
|
||||
|
||||
@ -12,18 +12,16 @@ use pyo3::{
|
||||
PyObject, PyResult, Python,
|
||||
};
|
||||
|
||||
use super::{symbol_resolver::InnerResolver, timeline::TimeFns};
|
||||
use nac3core::{
|
||||
codegen::{
|
||||
expr::{destructure_range, gen_call},
|
||||
llvm_intrinsics::{call_int_smax, call_memcpy, call_stackrestore, call_stacksave},
|
||||
stmt::{gen_block, gen_for_callback_incrementing, gen_if_callback, gen_with},
|
||||
type_aligned_alloca,
|
||||
types::ndarray::NDArrayType,
|
||||
values::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, ProxyValue, RangeValue,
|
||||
UntypedArrayLikeAccessor,
|
||||
classes::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayType,
|
||||
NDArrayValue, ProxyType, ProxyValue, RangeValue, UntypedArrayLikeAccessor,
|
||||
},
|
||||
expr::{destructure_range, gen_call},
|
||||
irrt::call_ndarray_calc_size,
|
||||
llvm_intrinsics::{call_int_smax, call_memcpy_generic, call_stackrestore, call_stacksave},
|
||||
stmt::{gen_block, gen_for_callback_incrementing, gen_if_callback, gen_with},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
inkwell::{
|
||||
@ -35,14 +33,12 @@ use nac3core::{
|
||||
},
|
||||
nac3parser::ast::{Expr, ExprKind, Located, Stmt, StmtKind, StrRef},
|
||||
symbol_resolver::ValueEnum,
|
||||
toplevel::{
|
||||
helper::{extract_ndims, PrimDef},
|
||||
numpy::unpack_ndarray_var_tys,
|
||||
DefinitionId, GenCall,
|
||||
},
|
||||
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, DefinitionId, GenCall},
|
||||
typecheck::typedef::{iter_type_vars, FunSignature, FuncArg, Type, TypeEnum, VarMap},
|
||||
};
|
||||
|
||||
use crate::{symbol_resolver::InnerResolver, timeline::TimeFns};
|
||||
|
||||
/// The parallelism mode within a block.
|
||||
#[derive(Copy, Clone, Eq, PartialEq)]
|
||||
enum ParallelMode {
|
||||
@ -461,49 +457,52 @@ fn format_rpc_arg<'ctx>(
|
||||
let llvm_i1 = ctx.ctx.bool_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let (elem_ty, ndims) = unpack_ndarray_var_tys(&mut ctx.unifier, arg_ty);
|
||||
let ndims = extract_ndims(&ctx.unifier, ndims);
|
||||
let dtype = ctx.get_llvm_type(generator, elem_ty);
|
||||
let ndarray = NDArrayType::new(generator, ctx.ctx, dtype, Some(ndims))
|
||||
.map_value(arg.into_pointer_value(), None);
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, arg_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
let llvm_arg_ty = NDArrayType::new(generator, ctx.ctx, llvm_elem_ty);
|
||||
let llvm_arg = NDArrayValue::from_ptr_val(arg.into_pointer_value(), llvm_usize, None);
|
||||
|
||||
let ndims = llvm_usize.const_int(ndims, false);
|
||||
let llvm_usize_sizeof = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(llvm_arg_ty.size_type().size_of(), llvm_usize, "")
|
||||
.unwrap();
|
||||
let llvm_pdata_sizeof = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(
|
||||
llvm_elem_ty.ptr_type(AddressSpace::default()).size_of(),
|
||||
llvm_usize,
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
// `ndarray.data` is possibly not contiguous, and we need it to be contiguous for
|
||||
// the reader.
|
||||
// Turning it into a ContiguousNDArray to get a `data` that is contiguous.
|
||||
let carray = ndarray.make_contiguous_ndarray(generator, ctx);
|
||||
let dims_buf_sz =
|
||||
ctx.builder.build_int_mul(llvm_arg.load_ndims(ctx), llvm_usize_sizeof, "").unwrap();
|
||||
|
||||
let sizeof_usize = llvm_usize.size_of();
|
||||
let sizeof_usize =
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(sizeof_usize, llvm_usize, "").unwrap();
|
||||
let buffer_size =
|
||||
ctx.builder.build_int_add(dims_buf_sz, llvm_pdata_sizeof, "").unwrap();
|
||||
|
||||
let sizeof_pdata = dtype.ptr_type(AddressSpace::default()).size_of();
|
||||
let sizeof_pdata =
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(sizeof_pdata, llvm_usize, "").unwrap();
|
||||
let buffer = ctx.builder.build_array_alloca(llvm_i8, buffer_size, "rpc.arg").unwrap();
|
||||
let buffer = ArraySliceValue::from_ptr_val(buffer, buffer_size, Some("rpc.arg"));
|
||||
|
||||
let sizeof_buf_shape = ctx.builder.build_int_mul(sizeof_usize, ndims, "").unwrap();
|
||||
let sizeof_buf = ctx.builder.build_int_add(sizeof_buf_shape, sizeof_pdata, "").unwrap();
|
||||
call_memcpy_generic(
|
||||
ctx,
|
||||
buffer.base_ptr(ctx, generator),
|
||||
llvm_arg.ptr_to_data(ctx),
|
||||
llvm_pdata_sizeof,
|
||||
llvm_i1.const_zero(),
|
||||
);
|
||||
|
||||
// buf = { data: void*, shape: [size_t; ndims]; }
|
||||
let buf = ctx.builder.build_array_alloca(llvm_i8, sizeof_buf, "rpc.arg").unwrap();
|
||||
let buf = ArraySliceValue::from_ptr_val(buf, sizeof_buf, Some("rpc.arg"));
|
||||
let buf_data = buf.base_ptr(ctx, generator);
|
||||
let buf_shape =
|
||||
unsafe { buf.ptr_offset_unchecked(ctx, generator, &sizeof_pdata, None) };
|
||||
let pbuffer_dims_begin =
|
||||
unsafe { buffer.ptr_offset_unchecked(ctx, generator, &llvm_pdata_sizeof, None) };
|
||||
call_memcpy_generic(
|
||||
ctx,
|
||||
pbuffer_dims_begin,
|
||||
llvm_arg.dim_sizes().base_ptr(ctx, generator),
|
||||
dims_buf_sz,
|
||||
llvm_i1.const_zero(),
|
||||
);
|
||||
|
||||
// Write to `buf->data`
|
||||
let carray_data = carray.load_data(ctx);
|
||||
let carray_data = ctx.builder.build_pointer_cast(carray_data, llvm_pi8, "").unwrap();
|
||||
call_memcpy(ctx, buf_data, carray_data, sizeof_pdata, llvm_i1.const_zero());
|
||||
|
||||
// Write to `buf->shape`
|
||||
let carray_shape = ndarray.shape().base_ptr(ctx, generator);
|
||||
let carray_shape_i8 =
|
||||
ctx.builder.build_pointer_cast(carray_shape, llvm_pi8, "").unwrap();
|
||||
call_memcpy(ctx, buf_shape, carray_shape_i8, sizeof_buf_shape, llvm_i1.const_zero());
|
||||
|
||||
buf.base_ptr(ctx, generator)
|
||||
buffer.base_ptr(ctx, generator)
|
||||
}
|
||||
|
||||
_ => {
|
||||
@ -544,8 +543,6 @@ fn format_rpc_ret<'ctx>(
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_i8_8 = ctx.ctx.struct_type(&[llvm_i8.array_type(8).into()], false);
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let rpc_recv = ctx.module.get_function("rpc_recv").unwrap_or_else(|| {
|
||||
ctx.module.add_function("rpc_recv", llvm_i32.fn_type(&[llvm_pi8.into()], false), None)
|
||||
@ -566,7 +563,8 @@ fn format_rpc_ret<'ctx>(
|
||||
|
||||
let result = match &*ctx.unifier.get_ty_immutable(ret_ty) {
|
||||
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
|
||||
let num_0 = llvm_usize.const_zero();
|
||||
let llvm_i1 = ctx.ctx.bool_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
// Round `val` up to its modulo `power_of_two`
|
||||
let round_up = |ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
@ -592,49 +590,79 @@ fn format_rpc_ret<'ctx>(
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
// Setup types
|
||||
let (elem_ty, ndims) = unpack_ndarray_var_tys(&mut ctx.unifier, ret_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
let llvm_ret_ty = NDArrayType::new(generator, ctx.ctx, llvm_elem_ty);
|
||||
|
||||
// Allocate the resulting ndarray
|
||||
// A condition after format_rpc_ret ensures this will not be popped this off.
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(&mut ctx.unifier, ret_ty);
|
||||
let dtype_llvm = ctx.get_llvm_type(generator, dtype);
|
||||
let ndims = extract_ndims(&ctx.unifier, ndims);
|
||||
let ndarray = NDArrayType::new(generator, ctx.ctx, dtype_llvm, Some(ndims))
|
||||
.construct_uninitialized(generator, ctx, None);
|
||||
let ndarray = llvm_ret_ty.new_value(generator, ctx, Some("rpc.result"));
|
||||
|
||||
// NOTE: Current content of `ndarray`:
|
||||
// - * `data` - **NOT YET** allocated.
|
||||
// - * `itemsize` - initialized to be size_of(dtype).
|
||||
// - * `ndims` - initialized.
|
||||
// - * `shape` - allocated; has uninitialized values.
|
||||
// - * `strides` - allocated; has uninitialized values.
|
||||
// Setup ndims
|
||||
let ndims =
|
||||
if let TypeEnum::TLiteral { values, .. } = &*ctx.unifier.get_ty_immutable(ndims) {
|
||||
assert_eq!(values.len(), 1);
|
||||
|
||||
let itemsize = ndarray.load_itemsize(ctx); // Same as doing a `ctx.get_llvm_type` on `dtype` and get its `size_of()`.
|
||||
u64::try_from(values[0].clone()).unwrap()
|
||||
} else {
|
||||
unreachable!();
|
||||
};
|
||||
// Set `ndarray.ndims`
|
||||
ndarray.store_ndims(ctx, generator, llvm_usize.const_int(ndims, false));
|
||||
// Allocate `ndarray.shape` [size_t; ndims]
|
||||
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray.load_ndims(ctx));
|
||||
|
||||
/*
|
||||
ndarray now:
|
||||
- .ndims: initialized
|
||||
- .shape: allocated but uninitialized .shape
|
||||
- .data: uninitialized
|
||||
*/
|
||||
|
||||
let llvm_usize_sizeof = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(llvm_usize.size_of(), llvm_usize, "")
|
||||
.unwrap();
|
||||
let llvm_pdata_sizeof = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(
|
||||
llvm_elem_ty.ptr_type(AddressSpace::default()).size_of(),
|
||||
llvm_usize,
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
let llvm_elem_sizeof = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(llvm_elem_ty.size_of().unwrap(), llvm_usize, "")
|
||||
.unwrap();
|
||||
|
||||
// Allocates a buffer for the initial RPC'ed object, which is guaranteed to be
|
||||
// (4 + 4 * ndims) bytes with 8-byte alignment
|
||||
let sizeof_usize = llvm_usize.size_of();
|
||||
let sizeof_usize =
|
||||
ctx.builder.build_int_truncate_or_bit_cast(sizeof_usize, llvm_usize, "").unwrap();
|
||||
|
||||
let sizeof_ptr = llvm_i8.ptr_type(AddressSpace::default()).size_of();
|
||||
let sizeof_ptr =
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(sizeof_ptr, llvm_usize, "").unwrap();
|
||||
|
||||
let sizeof_shape =
|
||||
ctx.builder.build_int_mul(ndarray.load_ndims(ctx), sizeof_usize, "").unwrap();
|
||||
|
||||
// Size of the buffer for the initial `rpc_recv()`.
|
||||
let sizeof_dims =
|
||||
ctx.builder.build_int_mul(ndarray.load_ndims(ctx), llvm_usize_sizeof, "").unwrap();
|
||||
let unaligned_buffer_size =
|
||||
ctx.builder.build_int_add(sizeof_ptr, sizeof_shape, "").unwrap();
|
||||
ctx.builder.build_int_add(sizeof_dims, llvm_pdata_sizeof, "").unwrap();
|
||||
let buffer_size = round_up(ctx, unaligned_buffer_size, llvm_usize.const_int(8, false));
|
||||
|
||||
let stackptr = call_stacksave(ctx, None);
|
||||
let buffer = type_aligned_alloca(
|
||||
generator,
|
||||
ctx,
|
||||
// Just to be absolutely sure, alloca in [i8 x 8] slices to force 8-byte alignment
|
||||
let buffer = ctx
|
||||
.builder
|
||||
.build_array_alloca(
|
||||
llvm_i8_8,
|
||||
unaligned_buffer_size,
|
||||
Some("rpc.buffer"),
|
||||
);
|
||||
let buffer = ArraySliceValue::from_ptr_val(buffer, unaligned_buffer_size, None);
|
||||
ctx.builder
|
||||
.build_int_unsigned_div(buffer_size, llvm_usize.const_int(8, false), "")
|
||||
.unwrap(),
|
||||
"rpc.buffer",
|
||||
)
|
||||
.unwrap();
|
||||
let buffer = ctx
|
||||
.builder
|
||||
.build_bit_cast(buffer, llvm_pi8, "")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap();
|
||||
let buffer = ArraySliceValue::from_ptr_val(buffer, buffer_size, None);
|
||||
|
||||
// The first call to `rpc_recv` reads the top-level ndarray object: [pdata, shape]
|
||||
//
|
||||
@ -642,7 +670,7 @@ fn format_rpc_ret<'ctx>(
|
||||
let ndarray_nbytes = ctx
|
||||
.build_call_or_invoke(
|
||||
rpc_recv,
|
||||
&[buffer.base_ptr(ctx, generator).into()], // Reads [usize; ndims]
|
||||
&[buffer.base_ptr(ctx, generator).into()], // Reads [usize; ndims]. NOTE: We are allocated [size_t; ndims].
|
||||
"rpc.size.next",
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
@ -650,14 +678,16 @@ fn format_rpc_ret<'ctx>(
|
||||
|
||||
// debug_assert(ndarray_nbytes > 0)
|
||||
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
|
||||
let cmp = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::UGT, ndarray_nbytes, num_0, "")
|
||||
.unwrap();
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
cmp,
|
||||
ctx.builder
|
||||
.build_int_compare(
|
||||
IntPredicate::UGT,
|
||||
ndarray_nbytes,
|
||||
ndarray_nbytes.get_type().const_zero(),
|
||||
"",
|
||||
)
|
||||
.unwrap(),
|
||||
"0:AssertionError",
|
||||
"Unexpected RPC termination for ndarray - Expected data buffer next",
|
||||
[None, None, None],
|
||||
@ -666,50 +696,49 @@ fn format_rpc_ret<'ctx>(
|
||||
}
|
||||
|
||||
// Copy shape from the buffer to `ndarray.shape`.
|
||||
// We need to skip the first `sizeof(uint8_t*)` bytes to skip the `pdata` in `[pdata, shape]`.
|
||||
let pbuffer_shape =
|
||||
unsafe { buffer.ptr_offset_unchecked(ctx, generator, &sizeof_ptr, None) };
|
||||
let pbuffer_shape =
|
||||
ctx.builder.build_pointer_cast(pbuffer_shape, llvm_pusize, "").unwrap();
|
||||
|
||||
// Copy shape from buffer to `ndarray.shape`
|
||||
ndarray.copy_shape_from_array(generator, ctx, pbuffer_shape);
|
||||
let pbuffer_dims =
|
||||
unsafe { buffer.ptr_offset_unchecked(ctx, generator, &llvm_pdata_sizeof, None) };
|
||||
|
||||
call_memcpy_generic(
|
||||
ctx,
|
||||
ndarray.dim_sizes().base_ptr(ctx, generator),
|
||||
pbuffer_dims,
|
||||
sizeof_dims,
|
||||
llvm_i1.const_zero(),
|
||||
);
|
||||
// Restore stack from before allocation of buffer
|
||||
call_stackrestore(ctx, stackptr);
|
||||
|
||||
// Allocate `ndarray.data`.
|
||||
// `ndarray.shape` must be initialized beforehand in this implementation
|
||||
// (for ndarray.create_data() to know how many elements to allocate)
|
||||
unsafe { ndarray.create_data(generator, ctx) }; // NOTE: the strides of `ndarray` has also been set to contiguous in `create_data`.
|
||||
let num_elements =
|
||||
call_ndarray_calc_size(generator, ctx, &ndarray.dim_sizes(), (None, None));
|
||||
|
||||
// debug_assert(nelems * sizeof(T) >= ndarray_nbytes)
|
||||
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
|
||||
let num_elements = ndarray.size(generator, ctx);
|
||||
|
||||
let expected_ndarray_nbytes =
|
||||
ctx.builder.build_int_mul(num_elements, itemsize, "").unwrap();
|
||||
let cmp = ctx
|
||||
.builder
|
||||
.build_int_compare(
|
||||
IntPredicate::UGE,
|
||||
expected_ndarray_nbytes,
|
||||
ndarray_nbytes,
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
let sizeof_data =
|
||||
ctx.builder.build_int_mul(num_elements, llvm_elem_sizeof, "").unwrap();
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
cmp,
|
||||
ctx.builder.build_int_compare(IntPredicate::UGE,
|
||||
sizeof_data,
|
||||
ndarray_nbytes,
|
||||
"",
|
||||
).unwrap(),
|
||||
"0:AssertionError",
|
||||
"Unexpected allocation size request for ndarray data - Expected up to {0} bytes, got {1} bytes",
|
||||
[Some(expected_ndarray_nbytes), Some(ndarray_nbytes), None],
|
||||
[Some(sizeof_data), Some(ndarray_nbytes), None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
}
|
||||
|
||||
ndarray.create_data(ctx, llvm_elem_ty, num_elements);
|
||||
|
||||
let ndarray_data = ndarray.data().base_ptr(ctx, generator);
|
||||
let ndarray_data_i8 =
|
||||
ctx.builder.build_pointer_cast(ndarray_data, llvm_pi8, "").unwrap();
|
||||
|
||||
// NOTE: Currently on `prehead_bb`
|
||||
ctx.builder.build_unconditional_branch(head_bb).unwrap();
|
||||
@ -718,7 +747,7 @@ fn format_rpc_ret<'ctx>(
|
||||
ctx.builder.position_at_end(head_bb);
|
||||
|
||||
let phi = ctx.builder.build_phi(llvm_pi8, "rpc.ptr").unwrap();
|
||||
phi.add_incoming(&[(&ndarray_data, prehead_bb)]);
|
||||
phi.add_incoming(&[(&ndarray_data_i8, prehead_bb)]);
|
||||
|
||||
let alloc_size = ctx
|
||||
.build_call_or_invoke(rpc_recv, &[phi.as_basic_value()], "rpc.size.next")
|
||||
@ -733,13 +762,12 @@ fn format_rpc_ret<'ctx>(
|
||||
|
||||
ctx.builder.position_at_end(alloc_bb);
|
||||
// Align the allocation to sizeof(T)
|
||||
let alloc_size = round_up(ctx, alloc_size, itemsize);
|
||||
// TODO(Derppening): Candidate for refactor into type_aligned_alloca
|
||||
let alloc_size = round_up(ctx, alloc_size, llvm_elem_sizeof);
|
||||
let alloc_ptr = ctx
|
||||
.builder
|
||||
.build_array_alloca(
|
||||
dtype_llvm,
|
||||
ctx.builder.build_int_unsigned_div(alloc_size, itemsize, "").unwrap(),
|
||||
llvm_elem_ty,
|
||||
ctx.builder.build_int_unsigned_div(alloc_size, llvm_elem_sizeof, "").unwrap(),
|
||||
"rpc.alloc",
|
||||
)
|
||||
.unwrap();
|
||||
@ -962,12 +990,11 @@ fn rpc_codegen_callback_fn<'ctx>(
|
||||
}
|
||||
}
|
||||
|
||||
pub fn attributes_writeback<'ctx>(
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
pub fn attributes_writeback(
|
||||
ctx: &mut CodeGenContext<'_, '_>,
|
||||
generator: &mut dyn CodeGenerator,
|
||||
inner_resolver: &InnerResolver,
|
||||
host_attributes: &PyObject,
|
||||
return_obj: Option<(Type, ValueEnum<'ctx>)>,
|
||||
) -> Result<(), String> {
|
||||
Python::with_gil(|py| -> PyResult<Result<(), String>> {
|
||||
let host_attributes: &PyList = host_attributes.downcast(py)?;
|
||||
@ -977,11 +1004,6 @@ pub fn attributes_writeback<'ctx>(
|
||||
let zero = int32.const_zero();
|
||||
let mut values = Vec::new();
|
||||
let mut scratch_buffer = Vec::new();
|
||||
|
||||
if let Some((ty, obj)) = return_obj {
|
||||
values.push((ty, obj.to_basic_value_enum(ctx, generator, ty).unwrap()));
|
||||
}
|
||||
|
||||
for val in (*globals).values() {
|
||||
let val = val.as_ref(py);
|
||||
let ty = inner_resolver.get_obj_type(
|
||||
@ -1060,7 +1082,7 @@ pub fn attributes_writeback<'ctx>(
|
||||
let args: Vec<_> =
|
||||
values.into_iter().map(|(_, val)| (None, ValueEnum::Dynamic(val))).collect();
|
||||
if let Err(e) =
|
||||
rpc_codegen_callback_fn(ctx, None, (&fun, PrimDef::Int32.id()), args, generator, true)
|
||||
rpc_codegen_callback_fn(ctx, None, (&fun, PrimDef::Int32.id()), args, generator, false)
|
||||
{
|
||||
return Ok(Err(e));
|
||||
}
|
||||
@ -1286,8 +1308,7 @@ fn polymorphic_print<'ctx>(
|
||||
fmt.push('[');
|
||||
flush(ctx, generator, &mut fmt, &mut args);
|
||||
|
||||
let val =
|
||||
ListValue::from_pointer_value(value.into_pointer_value(), llvm_usize, None);
|
||||
let val = ListValue::from_ptr_val(value.into_pointer_value(), llvm_usize, None);
|
||||
let len = val.load_size(ctx, None);
|
||||
let last =
|
||||
ctx.builder.build_int_sub(len, llvm_usize.const_int(1, false), "").unwrap();
|
||||
@ -1338,50 +1359,56 @@ fn polymorphic_print<'ctx>(
|
||||
}
|
||||
|
||||
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
|
||||
|
||||
fmt.push_str("array([");
|
||||
flush(ctx, generator, &mut fmt, &mut args);
|
||||
|
||||
let (dtype, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
|
||||
let ndarray = NDArrayType::from_unifier_type(generator, ctx, ty)
|
||||
.map_value(value.into_pointer_value(), None);
|
||||
let val = NDArrayValue::from_ptr_val(value.into_pointer_value(), llvm_usize, None);
|
||||
let len = call_ndarray_calc_size(generator, ctx, &val.dim_sizes(), (None, None));
|
||||
let last =
|
||||
ctx.builder.build_int_sub(len, llvm_usize.const_int(1, false), "").unwrap();
|
||||
|
||||
let num_0 = llvm_usize.const_zero();
|
||||
|
||||
// Print `ndarray` as a flat list delimited by interspersed with ", \0"
|
||||
ndarray.foreach(generator, ctx, |generator, ctx, _, hdl| {
|
||||
let i = hdl.get_index(ctx);
|
||||
let scalar = hdl.get_scalar(ctx);
|
||||
|
||||
// if (i != 0) puts(", ");
|
||||
gen_if_callback(
|
||||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
|_, ctx| {
|
||||
let not_first = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::NE, i, num_0, "")
|
||||
.unwrap();
|
||||
Ok(not_first)
|
||||
},
|
||||
|generator, ctx| {
|
||||
printf(ctx, generator, ", \0".into(), Vec::default());
|
||||
Ok(())
|
||||
},
|
||||
|_, _| Ok(()),
|
||||
)?;
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(len, false),
|
||||
|generator, ctx, _, i| {
|
||||
let elem = unsafe { val.data().get_unchecked(ctx, generator, &i, None) };
|
||||
|
||||
// Print element
|
||||
polymorphic_print(
|
||||
ctx,
|
||||
generator,
|
||||
&[(dtype, scalar.into())],
|
||||
&[(elem_ty, elem.into())],
|
||||
"",
|
||||
None,
|
||||
true,
|
||||
as_rtio,
|
||||
)?;
|
||||
|
||||
gen_if_callback(
|
||||
generator,
|
||||
ctx,
|
||||
|_, ctx| {
|
||||
Ok(ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::ULT, i, last, "")
|
||||
.unwrap())
|
||||
},
|
||||
|generator, ctx| {
|
||||
printf(ctx, generator, ", \0".into(), Vec::default());
|
||||
|
||||
Ok(())
|
||||
})?;
|
||||
},
|
||||
|_, _| Ok(()),
|
||||
)?;
|
||||
|
||||
Ok(())
|
||||
},
|
||||
llvm_usize.const_int(1, false),
|
||||
)?;
|
||||
|
||||
fmt.push_str(")]");
|
||||
flush(ctx, generator, &mut fmt, &mut args);
|
||||
@ -1391,7 +1418,7 @@ fn polymorphic_print<'ctx>(
|
||||
fmt.push_str("range(");
|
||||
flush(ctx, generator, &mut fmt, &mut args);
|
||||
|
||||
let val = RangeValue::from_pointer_value(value.into_pointer_value(), None);
|
||||
let val = RangeValue::from_ptr_val(value.into_pointer_value(), None);
|
||||
|
||||
let (start, stop, step) = destructure_range(ctx, val);
|
||||
|
||||
|
||||
@ -1,4 +1,10 @@
|
||||
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
|
||||
#![deny(
|
||||
future_incompatible,
|
||||
let_underscore,
|
||||
nonstandard_style,
|
||||
rust_2024_compatibility,
|
||||
clippy::all
|
||||
)]
|
||||
#![warn(clippy::pedantic)]
|
||||
#![allow(
|
||||
unsafe_op_in_unsafe_fn,
|
||||
@ -24,19 +30,19 @@ use parking_lot::{Mutex, RwLock};
|
||||
use pyo3::{
|
||||
create_exception, exceptions,
|
||||
prelude::*,
|
||||
types::{PyBytes, PyDict, PyNone, PySet},
|
||||
types::{PyBytes, PyDict, PySet},
|
||||
};
|
||||
use tempfile::{self, TempDir};
|
||||
|
||||
use nac3core::{
|
||||
codegen::{
|
||||
concrete_type::ConcreteTypeStore, gen_func_impl, irrt::load_irrt, CodeGenLLVMOptions,
|
||||
CodeGenTargetMachineOptions, CodeGenTask, CodeGenerator, WithCall, WorkerRegistry,
|
||||
CodeGenTargetMachineOptions, CodeGenTask, WithCall, WorkerRegistry,
|
||||
},
|
||||
inkwell::{
|
||||
context::Context,
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::{FlagBehavior, Linkage, Module},
|
||||
module::{Linkage, Module},
|
||||
passes::PassBuilderOptions,
|
||||
support::is_multithreaded,
|
||||
targets::*,
|
||||
@ -59,11 +65,13 @@ use nac3core::{
|
||||
};
|
||||
use nac3ld::Linker;
|
||||
|
||||
use codegen::{
|
||||
use crate::{
|
||||
codegen::{
|
||||
attributes_writeback, gen_core_log, gen_rtio_log, rpc_codegen_callback, ArtiqCodeGenerator,
|
||||
},
|
||||
symbol_resolver::{DeferredEvaluationStore, InnerResolver, PythonHelper, Resolver},
|
||||
timeline::TimeFns,
|
||||
};
|
||||
use symbol_resolver::{DeferredEvaluationStore, InnerResolver, PythonHelper, Resolver};
|
||||
use timeline::TimeFns;
|
||||
|
||||
mod codegen;
|
||||
mod symbol_resolver;
|
||||
@ -142,32 +150,14 @@ impl Nac3 {
|
||||
module: &PyObject,
|
||||
registered_class_ids: &HashSet<u64>,
|
||||
) -> PyResult<()> {
|
||||
let (module_name, source_file, source) =
|
||||
Python::with_gil(|py| -> PyResult<(String, String, String)> {
|
||||
let (module_name, source_file) = Python::with_gil(|py| -> PyResult<(String, String)> {
|
||||
let module: &PyAny = module.extract(py)?;
|
||||
let source_file = module.getattr("__file__");
|
||||
let (source_file, source) = if let Ok(source_file) = source_file {
|
||||
let source_file = source_file.extract()?;
|
||||
(
|
||||
source_file,
|
||||
fs::read_to_string(source_file).map_err(|e| {
|
||||
exceptions::PyIOError::new_err(format!(
|
||||
"failed to read input file: {e}"
|
||||
))
|
||||
})?,
|
||||
)
|
||||
} else {
|
||||
// kernels submitted by content have no file
|
||||
// but still can provide source by StringLoader
|
||||
let get_src_fn = module
|
||||
.getattr("__loader__")?
|
||||
.extract::<PyObject>()?
|
||||
.getattr(py, "get_source")?;
|
||||
("<expcontent>", get_src_fn.call1(py, (PyNone::get(py),))?.extract(py)?)
|
||||
};
|
||||
Ok((module.getattr("__name__")?.extract()?, source_file.to_string(), source))
|
||||
Ok((module.getattr("__name__")?.extract()?, module.getattr("__file__")?.extract()?))
|
||||
})?;
|
||||
|
||||
let source = fs::read_to_string(&source_file).map_err(|e| {
|
||||
exceptions::PyIOError::new_err(format!("failed to read input file: {e}"))
|
||||
})?;
|
||||
let parser_result = parse_program(&source, source_file.into())
|
||||
.map_err(|e| exceptions::PySyntaxError::new_err(format!("parse error: {e}")))?;
|
||||
|
||||
@ -577,7 +567,7 @@ impl Nac3 {
|
||||
field_to_val: RwLock::default(),
|
||||
name_to_pyid,
|
||||
module: module.to_object(py),
|
||||
helper: helper.clone(),
|
||||
helper,
|
||||
string_store: self.string_store.clone(),
|
||||
exception_ids: self.exception_ids.clone(),
|
||||
deferred_eval_store: self.deferred_eval_store.clone(),
|
||||
@ -685,12 +675,33 @@ impl Nac3 {
|
||||
let task = CodeGenTask {
|
||||
subst: Vec::default(),
|
||||
symbol_name: "__modinit__".to_string(),
|
||||
body: instance.body,
|
||||
signature,
|
||||
resolver: resolver.clone(),
|
||||
store,
|
||||
unifier_index: instance.unifier_id,
|
||||
calls: instance.calls,
|
||||
id: 0,
|
||||
};
|
||||
|
||||
let mut store = ConcreteTypeStore::new();
|
||||
let mut cache = HashMap::new();
|
||||
let signature = store.from_signature(
|
||||
&mut composer.unifier,
|
||||
&self.primitive,
|
||||
&fun_signature,
|
||||
&mut cache,
|
||||
);
|
||||
let signature = store.add_cty(signature);
|
||||
let attributes_writeback_task = CodeGenTask {
|
||||
subst: Vec::default(),
|
||||
symbol_name: "attributes_writeback".to_string(),
|
||||
body: Arc::new(Vec::default()),
|
||||
signature,
|
||||
resolver,
|
||||
store,
|
||||
unifier_index: instance.unifier_id,
|
||||
calls: instance.calls,
|
||||
calls: Arc::new(HashMap::default()),
|
||||
id: 0,
|
||||
};
|
||||
|
||||
@ -714,27 +725,19 @@ impl Nac3 {
|
||||
.collect();
|
||||
|
||||
let membuffer = membuffers.clone();
|
||||
let mut has_return = false;
|
||||
py.allow_threads(|| {
|
||||
let (registry, handles) =
|
||||
WorkerRegistry::create_workers(threads, top_level.clone(), &self.llvm_options, &f);
|
||||
registry.add_task(task);
|
||||
registry.wait_tasks_complete(handles);
|
||||
|
||||
let mut generator = ArtiqCodeGenerator::new("main".to_string(), size_t, self.time_fns);
|
||||
let mut generator =
|
||||
ArtiqCodeGenerator::new("attributes_writeback".to_string(), size_t, self.time_fns);
|
||||
let context = Context::create();
|
||||
let module = context.create_module("main");
|
||||
let module = context.create_module("attributes_writeback");
|
||||
let target_machine = self.llvm_options.create_target_machine().unwrap();
|
||||
module.set_data_layout(&target_machine.get_target_data().get_data_layout());
|
||||
module.set_triple(&target_machine.get_triple());
|
||||
module.add_basic_value_flag(
|
||||
"Debug Info Version",
|
||||
FlagBehavior::Warning,
|
||||
context.i32_type().const_int(3, false),
|
||||
);
|
||||
module.add_basic_value_flag(
|
||||
"Dwarf Version",
|
||||
FlagBehavior::Warning,
|
||||
context.i32_type().const_int(4, false),
|
||||
);
|
||||
let builder = context.create_builder();
|
||||
let (_, module, _) = gen_func_impl(
|
||||
&context,
|
||||
@ -742,27 +745,9 @@ impl Nac3 {
|
||||
®istry,
|
||||
builder,
|
||||
module,
|
||||
task,
|
||||
attributes_writeback_task,
|
||||
|generator, ctx| {
|
||||
assert_eq!(instance.body.len(), 1, "toplevel module should have 1 statement");
|
||||
let StmtKind::Expr { value: ref expr, .. } = instance.body[0].node else {
|
||||
unreachable!("toplevel statement must be an expression")
|
||||
};
|
||||
let ExprKind::Call { .. } = expr.node else {
|
||||
unreachable!("toplevel expression must be a function call")
|
||||
};
|
||||
|
||||
let return_obj =
|
||||
generator.gen_expr(ctx, expr)?.map(|value| (expr.custom.unwrap(), value));
|
||||
has_return = return_obj.is_some();
|
||||
registry.wait_tasks_complete(handles);
|
||||
attributes_writeback(
|
||||
ctx,
|
||||
generator,
|
||||
inner_resolver.as_ref(),
|
||||
&host_attributes,
|
||||
return_obj,
|
||||
)
|
||||
attributes_writeback(ctx, generator, inner_resolver.as_ref(), &host_attributes)
|
||||
},
|
||||
)
|
||||
.unwrap();
|
||||
@ -771,23 +756,35 @@ impl Nac3 {
|
||||
membuffer.lock().push(buffer);
|
||||
});
|
||||
|
||||
embedding_map.setattr("expects_return", has_return).unwrap();
|
||||
|
||||
// Link all modules into `main`.
|
||||
let buffers = membuffers.lock();
|
||||
let main = context
|
||||
.create_module_from_ir(MemoryBuffer::create_from_memory_range(
|
||||
buffers.last().unwrap(),
|
||||
"main",
|
||||
))
|
||||
.create_module_from_ir(MemoryBuffer::create_from_memory_range(&buffers[0], "main"))
|
||||
.unwrap();
|
||||
for buffer in buffers.iter().rev().skip(1) {
|
||||
for buffer in buffers.iter().skip(1) {
|
||||
let other = context
|
||||
.create_module_from_ir(MemoryBuffer::create_from_memory_range(buffer, "main"))
|
||||
.unwrap();
|
||||
|
||||
main.link_in_module(other).map_err(|err| CompileError::new_err(err.to_string()))?;
|
||||
}
|
||||
let builder = context.create_builder();
|
||||
let modinit_return = main
|
||||
.get_function("__modinit__")
|
||||
.unwrap()
|
||||
.get_last_basic_block()
|
||||
.unwrap()
|
||||
.get_terminator()
|
||||
.unwrap();
|
||||
builder.position_before(&modinit_return);
|
||||
builder
|
||||
.build_call(
|
||||
main.get_function("attributes_writeback").unwrap(),
|
||||
&[],
|
||||
"attributes_writeback",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
main.link_in_module(irrt).map_err(|err| CompileError::new_err(err.to_string()))?;
|
||||
|
||||
let mut function_iter = main.get_first_function();
|
||||
@ -822,20 +819,6 @@ impl Nac3 {
|
||||
panic!("Failed to run optimization for module `main`: {}", err.to_string());
|
||||
}
|
||||
|
||||
Python::with_gil(|py| {
|
||||
let string_store = self.string_store.read();
|
||||
let mut string_store_vec = string_store.iter().collect::<Vec<_>>();
|
||||
string_store_vec.sort_by(|(_s1, key1), (_s2, key2)| key1.cmp(key2));
|
||||
for (s, key) in string_store_vec {
|
||||
let embed_key: i32 = helper.store_str.call1(py, (s,)).unwrap().extract(py).unwrap();
|
||||
assert_eq!(
|
||||
embed_key, *key,
|
||||
"string {s} is out of sync between embedding map (key={embed_key}) and \
|
||||
the internal string store (key={key})"
|
||||
);
|
||||
}
|
||||
});
|
||||
|
||||
link_fn(&main)
|
||||
}
|
||||
|
||||
@ -1085,48 +1068,6 @@ impl Nac3 {
|
||||
let working_directory = tempfile::Builder::new().prefix("nac3-").tempdir().unwrap();
|
||||
fs::write(working_directory.path().join("kernel.ld"), include_bytes!("kernel.ld")).unwrap();
|
||||
|
||||
let mut string_store: HashMap<String, i32> = HashMap::default();
|
||||
|
||||
// Keep this list of exceptions in sync with `EXCEPTION_ID_LOOKUP` in `artiq::firmware::ksupport::eh_artiq`
|
||||
// The exceptions declared here must be defined in `artiq.coredevice.exceptions`
|
||||
// Verify synchronization by running the test cases in `artiq.test.coredevice.test_exceptions`
|
||||
let runtime_exception_names = [
|
||||
"RTIOUnderflow",
|
||||
"RTIOOverflow",
|
||||
"RTIODestinationUnreachable",
|
||||
"DMAError",
|
||||
"I2CError",
|
||||
"CacheError",
|
||||
"SPIError",
|
||||
"SubkernelError",
|
||||
"0:AssertionError",
|
||||
"0:AttributeError",
|
||||
"0:IndexError",
|
||||
"0:IOError",
|
||||
"0:KeyError",
|
||||
"0:NotImplementedError",
|
||||
"0:OverflowError",
|
||||
"0:RuntimeError",
|
||||
"0:TimeoutError",
|
||||
"0:TypeError",
|
||||
"0:ValueError",
|
||||
"0:ZeroDivisionError",
|
||||
"0:LinAlgError",
|
||||
"UnwrapNoneError",
|
||||
];
|
||||
|
||||
// Preallocate runtime exception names
|
||||
for (i, name) in runtime_exception_names.iter().enumerate() {
|
||||
let exn_name = if name.find(':').is_none() {
|
||||
format!("0:artiq.coredevice.exceptions.{name}")
|
||||
} else {
|
||||
(*name).to_string()
|
||||
};
|
||||
|
||||
let id = i32::try_from(i).unwrap();
|
||||
string_store.insert(exn_name, id);
|
||||
}
|
||||
|
||||
Ok(Nac3 {
|
||||
isa,
|
||||
time_fns,
|
||||
@ -1136,7 +1077,7 @@ impl Nac3 {
|
||||
top_levels: Vec::default(),
|
||||
pyid_to_def: Arc::default(),
|
||||
working_directory,
|
||||
string_store: Arc::new(string_store.into()),
|
||||
string_store: Arc::default(),
|
||||
exception_ids: Arc::default(),
|
||||
deferred_eval_store: DeferredEvaluationStore::new(),
|
||||
llvm_options: CodeGenLLVMOptions {
|
||||
@ -1146,12 +1087,7 @@ impl Nac3 {
|
||||
})
|
||||
}
|
||||
|
||||
fn analyze(
|
||||
&mut self,
|
||||
functions: &PySet,
|
||||
classes: &PySet,
|
||||
content_modules: &PySet,
|
||||
) -> PyResult<()> {
|
||||
fn analyze(&mut self, functions: &PySet, classes: &PySet) -> PyResult<()> {
|
||||
let (modules, class_ids) =
|
||||
Python::with_gil(|py| -> PyResult<(HashMap<u64, PyObject>, HashSet<u64>)> {
|
||||
let mut modules: HashMap<u64, PyObject> = HashMap::new();
|
||||
@ -1161,22 +1097,14 @@ impl Nac3 {
|
||||
let getmodule_fn = PyModule::import(py, "inspect")?.getattr("getmodule")?;
|
||||
|
||||
for function in functions {
|
||||
let module: PyObject = getmodule_fn.call1((function,))?.extract()?;
|
||||
if !module.is_none(py) {
|
||||
let module = getmodule_fn.call1((function,))?.extract()?;
|
||||
modules.insert(id_fn.call1((&module,))?.extract()?, module);
|
||||
}
|
||||
}
|
||||
for class in classes {
|
||||
let module: PyObject = getmodule_fn.call1((class,))?.extract()?;
|
||||
if !module.is_none(py) {
|
||||
let module = getmodule_fn.call1((class,))?.extract()?;
|
||||
modules.insert(id_fn.call1((&module,))?.extract()?, module);
|
||||
}
|
||||
class_ids.insert(id_fn.call1((class,))?.extract()?);
|
||||
}
|
||||
for module in content_modules {
|
||||
let module: PyObject = module.extract()?;
|
||||
modules.insert(id_fn.call1((&module,))?.extract()?, module);
|
||||
}
|
||||
Ok((modules, class_ids))
|
||||
})?;
|
||||
|
||||
|
||||
@ -10,14 +10,12 @@ use itertools::Itertools;
|
||||
use parking_lot::RwLock;
|
||||
use pyo3::{
|
||||
types::{PyDict, PyTuple},
|
||||
PyAny, PyErr, PyObject, PyResult, Python,
|
||||
PyAny, PyObject, PyResult, Python,
|
||||
};
|
||||
|
||||
use super::PrimitivePythonId;
|
||||
use nac3core::{
|
||||
codegen::{
|
||||
types::{ndarray::NDArrayType, ProxyType},
|
||||
values::ndarray::make_contiguous_strides,
|
||||
classes::{NDArrayType, ProxyType},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
inkwell::{
|
||||
@ -39,6 +37,8 @@ use nac3core::{
|
||||
},
|
||||
};
|
||||
|
||||
use crate::PrimitivePythonId;
|
||||
|
||||
pub enum PrimitiveValue {
|
||||
I32(i32),
|
||||
I64(i64),
|
||||
@ -1085,19 +1085,18 @@ impl InnerResolver {
|
||||
} else {
|
||||
unreachable!("must be ndarray")
|
||||
};
|
||||
let (ndarray_dtype, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ndarray_ty);
|
||||
let (ndarray_dtype, ndarray_ndims) =
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, ndarray_ty);
|
||||
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = NDArrayType::from_unifier_type(generator, ctx, ndarray_ty);
|
||||
let dtype = llvm_ndarray.element_type();
|
||||
let ndarray_dtype_llvm_ty = ctx.get_llvm_type(generator, ndarray_dtype);
|
||||
let ndarray_llvm_ty = NDArrayType::new(generator, ctx.ctx, ndarray_dtype_llvm_ty);
|
||||
|
||||
{
|
||||
if self.global_value_ids.read().contains_key(&id) {
|
||||
let global = ctx.module.get_global(&id_str).unwrap_or_else(|| {
|
||||
ctx.module.add_global(
|
||||
llvm_ndarray.as_base_type().get_element_type().into_struct_type(),
|
||||
ndarray_llvm_ty.as_underlying_type(),
|
||||
Some(AddressSpace::default()),
|
||||
&id_str,
|
||||
)
|
||||
@ -1107,41 +1106,40 @@ impl InnerResolver {
|
||||
self.global_value_ids.write().insert(id, obj.into());
|
||||
}
|
||||
|
||||
let ndims = llvm_ndarray.ndims().unwrap();
|
||||
let TypeEnum::TLiteral { values, .. } = &*ctx.unifier.get_ty_immutable(ndarray_ndims)
|
||||
else {
|
||||
unreachable!("Expected Literal for ndarray_ndims")
|
||||
};
|
||||
|
||||
let ndarray_ndims = if values.len() == 1 {
|
||||
values[0].clone()
|
||||
} else {
|
||||
todo!("Unpacking literal of more than one element unimplemented")
|
||||
};
|
||||
let Ok(ndarray_ndims) = u64::try_from(ndarray_ndims) else {
|
||||
unreachable!("Expected u64 value for ndarray_ndims")
|
||||
};
|
||||
|
||||
// Obtain the shape of the ndarray
|
||||
let shape_tuple: &PyTuple = obj.getattr("shape")?.downcast()?;
|
||||
assert_eq!(shape_tuple.len(), ndims as usize);
|
||||
|
||||
// The Rust type inferencer cannot figure this out
|
||||
let shape_values = shape_tuple
|
||||
assert_eq!(shape_tuple.len(), ndarray_ndims as usize);
|
||||
let shape_values: Result<Option<Vec<_>>, _> = shape_tuple
|
||||
.iter()
|
||||
.enumerate()
|
||||
.map(|(i, elem)| {
|
||||
let value = self
|
||||
.get_obj_value(py, elem, ctx, generator, ctx.primitives.usize())
|
||||
.map_err(|e| {
|
||||
super::CompileError::new_err(format!("Error getting element {i}: {e}"))
|
||||
})?
|
||||
.unwrap();
|
||||
let value = value.into_int_value();
|
||||
Ok(value)
|
||||
self.get_obj_value(py, elem, ctx, generator, ctx.primitives.usize()).map_err(
|
||||
|e| super::CompileError::new_err(format!("Error getting element {i}: {e}")),
|
||||
)
|
||||
})
|
||||
.collect::<Result<Vec<_>, PyErr>>()?;
|
||||
|
||||
// Also use this opportunity to get the constant values of `shape_values` for calculating strides.
|
||||
let shape_u64s = shape_values
|
||||
.iter()
|
||||
.map(|dim| {
|
||||
assert!(dim.is_const());
|
||||
dim.get_zero_extended_constant().unwrap()
|
||||
})
|
||||
.collect_vec();
|
||||
let shape_values = llvm_usize.const_array(&shape_values);
|
||||
.collect();
|
||||
let shape_values = shape_values?.unwrap();
|
||||
let shape_values = llvm_usize.const_array(
|
||||
&shape_values.into_iter().map(BasicValueEnum::into_int_value).collect_vec(),
|
||||
);
|
||||
|
||||
// create a global for ndarray.shape and initialize it using the shape
|
||||
let shape_global = ctx.module.add_global(
|
||||
llvm_usize.array_type(ndims as u32),
|
||||
llvm_usize.array_type(ndarray_ndims as u32),
|
||||
Some(AddressSpace::default()),
|
||||
&(id_str.clone() + ".shape"),
|
||||
);
|
||||
@ -1149,25 +1147,17 @@ impl InnerResolver {
|
||||
|
||||
// Obtain the (flattened) elements of the ndarray
|
||||
let sz: usize = obj.getattr("size")?.extract()?;
|
||||
let data: Vec<_> = (0..sz)
|
||||
let data: Result<Option<Vec<_>>, _> = (0..sz)
|
||||
.map(|i| {
|
||||
obj.getattr("flat")?.get_item(i).and_then(|elem| {
|
||||
let value = self
|
||||
.get_obj_value(py, elem, ctx, generator, ndarray_dtype)
|
||||
.map_err(|e| {
|
||||
super::CompileError::new_err(format!(
|
||||
"Error getting element {i}: {e}"
|
||||
))
|
||||
})?
|
||||
.unwrap();
|
||||
|
||||
assert_eq!(value.get_type(), dtype);
|
||||
Ok(value)
|
||||
self.get_obj_value(py, elem, ctx, generator, ndarray_dtype).map_err(|e| {
|
||||
super::CompileError::new_err(format!("Error getting element {i}: {e}"))
|
||||
})
|
||||
})
|
||||
.try_collect()?;
|
||||
let data = data.into_iter();
|
||||
let data = match dtype {
|
||||
})
|
||||
.collect();
|
||||
let data = data?.unwrap().into_iter();
|
||||
let data = match ndarray_dtype_llvm_ty {
|
||||
BasicTypeEnum::ArrayType(ty) => {
|
||||
ty.const_array(&data.map(BasicValueEnum::into_array_value).collect_vec())
|
||||
}
|
||||
@ -1192,68 +1182,34 @@ impl InnerResolver {
|
||||
};
|
||||
|
||||
// create a global for ndarray.data and initialize it using the elements
|
||||
//
|
||||
// NOTE: NDArray's `data` is `u8*`. Here, `data_global` is an array of `dtype`.
|
||||
// We will have to cast it to an `u8*` later.
|
||||
let data_global = ctx.module.add_global(
|
||||
dtype.array_type(sz as u32),
|
||||
ndarray_dtype_llvm_ty.array_type(sz as u32),
|
||||
Some(AddressSpace::default()),
|
||||
&(id_str.clone() + ".data"),
|
||||
);
|
||||
data_global.set_initializer(&data);
|
||||
|
||||
// Get the constant itemsize.
|
||||
let itemsize = dtype.size_of().unwrap();
|
||||
let itemsize = itemsize.get_zero_extended_constant().unwrap();
|
||||
|
||||
// Create the strides needed for ndarray.strides
|
||||
let strides = make_contiguous_strides(itemsize, ndims, &shape_u64s);
|
||||
let strides =
|
||||
strides.into_iter().map(|stride| llvm_usize.const_int(stride, false)).collect_vec();
|
||||
let strides = llvm_usize.const_array(&strides);
|
||||
|
||||
// create a global for ndarray.strides and initialize it
|
||||
let strides_global = ctx.module.add_global(
|
||||
llvm_i8.array_type(ndims as u32),
|
||||
Some(AddressSpace::default()),
|
||||
&format!("${id_str}.strides"),
|
||||
);
|
||||
strides_global.set_initializer(&strides);
|
||||
|
||||
// create a global for the ndarray object and initialize it
|
||||
|
||||
// NOTE: data_global is an array of dtype, we want a `u8*`.
|
||||
let ndarray_data = data_global.as_pointer_value();
|
||||
let ndarray_data = ctx.builder.build_pointer_cast(ndarray_data, llvm_pi8, "").unwrap();
|
||||
|
||||
let ndarray_itemsize = llvm_usize.const_int(itemsize, false);
|
||||
|
||||
let ndarray_ndims = llvm_usize.const_int(ndims, false);
|
||||
|
||||
let ndarray_shape = shape_global.as_pointer_value();
|
||||
|
||||
let ndarray_strides = strides_global.as_pointer_value();
|
||||
|
||||
let ndarray = llvm_ndarray
|
||||
.as_base_type()
|
||||
.get_element_type()
|
||||
.into_struct_type()
|
||||
.const_named_struct(&[
|
||||
ndarray_itemsize.into(),
|
||||
ndarray_ndims.into(),
|
||||
ndarray_shape.into(),
|
||||
ndarray_strides.into(),
|
||||
ndarray_data.into(),
|
||||
let value = ndarray_llvm_ty.as_underlying_type().const_named_struct(&[
|
||||
llvm_usize.const_int(ndarray_ndims, false).into(),
|
||||
shape_global
|
||||
.as_pointer_value()
|
||||
.const_cast(llvm_usize.ptr_type(AddressSpace::default()))
|
||||
.into(),
|
||||
data_global
|
||||
.as_pointer_value()
|
||||
.const_cast(ndarray_dtype_llvm_ty.ptr_type(AddressSpace::default()))
|
||||
.into(),
|
||||
]);
|
||||
|
||||
let ndarray_global = ctx.module.add_global(
|
||||
llvm_ndarray.as_base_type().get_element_type().into_struct_type(),
|
||||
let ndarray = ctx.module.add_global(
|
||||
ndarray_llvm_ty.as_underlying_type(),
|
||||
Some(AddressSpace::default()),
|
||||
&id_str,
|
||||
);
|
||||
ndarray_global.set_initializer(&ndarray);
|
||||
ndarray.set_initializer(&value);
|
||||
|
||||
Ok(Some(ndarray_global.as_pointer_value().into()))
|
||||
Ok(Some(ndarray.as_pointer_value().into()))
|
||||
} else if ty_id == self.primitive_ids.tuple {
|
||||
let expected_ty_enum = ctx.unifier.get_ty_immutable(expected_ty);
|
||||
let TypeEnum::TTuple { ty, is_vararg_ctx: false } = expected_ty_enum.as_ref() else {
|
||||
@ -1576,7 +1532,10 @@ impl SymbolResolver for Resolver {
|
||||
if let Some(id) = string_store.get(s) {
|
||||
*id
|
||||
} else {
|
||||
let id = i32::try_from(string_store.len()).unwrap();
|
||||
let id = Python::with_gil(|py| -> PyResult<i32> {
|
||||
self.0.helper.store_str.call1(py, (s,))?.extract(py)
|
||||
})
|
||||
.unwrap();
|
||||
string_store.insert(s.into(), id);
|
||||
id
|
||||
}
|
||||
|
||||
@ -10,6 +10,7 @@ constant-optimization = ["fold"]
|
||||
fold = []
|
||||
|
||||
[dependencies]
|
||||
lazy_static = "1.5"
|
||||
parking_lot = "0.12"
|
||||
string-interner = "0.17"
|
||||
fxhash = "0.2"
|
||||
|
||||
@ -5,12 +5,14 @@ pub use crate::location::Location;
|
||||
|
||||
use fxhash::FxBuildHasher;
|
||||
use parking_lot::{Mutex, MutexGuard};
|
||||
use std::{cell::RefCell, collections::HashMap, fmt, sync::LazyLock};
|
||||
use std::{cell::RefCell, collections::HashMap, fmt};
|
||||
use string_interner::{symbol::SymbolU32, DefaultBackend, StringInterner};
|
||||
|
||||
pub type Interner = StringInterner<DefaultBackend, FxBuildHasher>;
|
||||
static INTERNER: LazyLock<Mutex<Interner>> =
|
||||
LazyLock::new(|| Mutex::new(StringInterner::with_hasher(FxBuildHasher::default())));
|
||||
lazy_static! {
|
||||
static ref INTERNER: Mutex<Interner> =
|
||||
Mutex::new(StringInterner::with_hasher(FxBuildHasher::default()));
|
||||
}
|
||||
|
||||
thread_local! {
|
||||
static LOCAL_INTERNER: RefCell<HashMap<String, StrRef>> = RefCell::default();
|
||||
|
||||
@ -1,4 +1,10 @@
|
||||
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
|
||||
#![deny(
|
||||
future_incompatible,
|
||||
let_underscore,
|
||||
nonstandard_style,
|
||||
rust_2024_compatibility,
|
||||
clippy::all
|
||||
)]
|
||||
#![warn(clippy::pedantic)]
|
||||
#![allow(
|
||||
clippy::missing_errors_doc,
|
||||
@ -8,6 +14,9 @@
|
||||
clippy::wildcard_imports
|
||||
)]
|
||||
|
||||
#[macro_use]
|
||||
extern crate lazy_static;
|
||||
|
||||
mod ast_gen;
|
||||
mod constant;
|
||||
#[cfg(feature = "fold")]
|
||||
|
||||
@ -5,8 +5,6 @@ authors = ["M-Labs"]
|
||||
edition = "2021"
|
||||
|
||||
[features]
|
||||
default = ["derive"]
|
||||
derive = ["dep:nac3core_derive"]
|
||||
no-escape-analysis = []
|
||||
|
||||
[dependencies]
|
||||
@ -15,7 +13,6 @@ crossbeam = "0.8"
|
||||
indexmap = "2.6"
|
||||
parking_lot = "0.12"
|
||||
rayon = "1.10"
|
||||
nac3core_derive = { path = "nac3core_derive", optional = true }
|
||||
nac3parser = { path = "../nac3parser" }
|
||||
strum = "0.26"
|
||||
strum_macros = "0.26"
|
||||
|
||||
@ -56,8 +56,9 @@ fn main() {
|
||||
let output = Command::new("clang-irrt")
|
||||
.args(flags)
|
||||
.output()
|
||||
.inspect(|o| {
|
||||
.map(|o| {
|
||||
assert!(o.status.success(), "{}", std::str::from_utf8(&o.stderr).unwrap());
|
||||
o
|
||||
})
|
||||
.unwrap();
|
||||
|
||||
|
||||
@ -1,10 +1,9 @@
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/list.hpp"
|
||||
#include "irrt/math.hpp"
|
||||
#include "irrt/ndarray.hpp"
|
||||
#include "irrt/range.hpp"
|
||||
#include "irrt/slice.hpp"
|
||||
#include "irrt/ndarray/basic.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
#include "irrt/ndarray/iter.hpp"
|
||||
#include "irrt/ndarray/indexing.hpp"
|
||||
|
||||
@ -4,6 +4,6 @@
|
||||
|
||||
template<typename SizeT>
|
||||
struct CSlice {
|
||||
void* base;
|
||||
uint8_t* base;
|
||||
SizeT len;
|
||||
};
|
||||
@ -6,7 +6,7 @@
|
||||
/**
|
||||
* @brief The int type of ARTIQ exception IDs.
|
||||
*/
|
||||
using ExceptionId = int32_t;
|
||||
typedef int32_t ExceptionId;
|
||||
|
||||
/*
|
||||
* Set of exceptions C++ IRRT can use.
|
||||
@ -55,14 +55,14 @@ void _raise_exception_helper(ExceptionId id,
|
||||
int64_t param2) {
|
||||
Exception<SizeT> e = {
|
||||
.id = id,
|
||||
.filename = {.base = reinterpret_cast<void*>(const_cast<char*>(filename)),
|
||||
.len = static_cast<SizeT>(__builtin_strlen(filename))},
|
||||
.filename = {.base = reinterpret_cast<uint8_t*>(const_cast<char*>(filename)),
|
||||
.len = static_cast<int32_t>(__builtin_strlen(filename))},
|
||||
.line = line,
|
||||
.column = 0,
|
||||
.function = {.base = reinterpret_cast<void*>(const_cast<char*>(function)),
|
||||
.len = static_cast<SizeT>(__builtin_strlen(function))},
|
||||
.msg = {.base = reinterpret_cast<void*>(const_cast<char*>(msg)),
|
||||
.len = static_cast<SizeT>(__builtin_strlen(msg))},
|
||||
.function = {.base = reinterpret_cast<uint8_t*>(const_cast<char*>(function)),
|
||||
.len = static_cast<int32_t>(__builtin_strlen(function))},
|
||||
.msg = {.base = reinterpret_cast<uint8_t*>(const_cast<char*>(msg)),
|
||||
.len = static_cast<int32_t>(__builtin_strlen(msg))},
|
||||
};
|
||||
e.params[0] = param0;
|
||||
e.params[1] = param1;
|
||||
@ -70,7 +70,6 @@ void _raise_exception_helper(ExceptionId id,
|
||||
__nac3_raise(reinterpret_cast<void*>(&e));
|
||||
__builtin_unreachable();
|
||||
}
|
||||
} // namespace
|
||||
|
||||
/**
|
||||
* @brief Raise an exception with location details (location in the IRRT source files).
|
||||
@ -83,3 +82,4 @@ void _raise_exception_helper(ExceptionId id,
|
||||
*/
|
||||
#define raise_exception(SizeT, id, msg, param0, param1, param2) \
|
||||
_raise_exception_helper<SizeT>(id, __FILE__, __LINE__, __FUNCTION__, msg, param0, param1, param2)
|
||||
} // namespace
|
||||
@ -8,20 +8,15 @@ using uint32_t = unsigned _BitInt(32);
|
||||
using int64_t = _BitInt(64);
|
||||
using uint64_t = unsigned _BitInt(64);
|
||||
#else
|
||||
|
||||
#pragma clang diagnostic push
|
||||
#pragma clang diagnostic ignored "-Wdeprecated-type"
|
||||
using int8_t = _ExtInt(8);
|
||||
using uint8_t = unsigned _ExtInt(8);
|
||||
using int32_t = _ExtInt(32);
|
||||
using uint32_t = unsigned _ExtInt(32);
|
||||
using int64_t = _ExtInt(64);
|
||||
using uint64_t = unsigned _ExtInt(64);
|
||||
#pragma clang diagnostic pop
|
||||
|
||||
#endif
|
||||
|
||||
// NDArray indices are always `uint32_t`.
|
||||
using NDIndexInt = uint32_t;
|
||||
using NDIndex = uint32_t;
|
||||
// The type of an index or a value describing the length of a range/slice is always `int32_t`.
|
||||
using SliceIndex = int32_t;
|
||||
|
||||
@ -13,12 +13,12 @@ extern "C" {
|
||||
SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
|
||||
SliceIndex dest_end,
|
||||
SliceIndex dest_step,
|
||||
void* dest_arr,
|
||||
uint8_t* dest_arr,
|
||||
SliceIndex dest_arr_len,
|
||||
SliceIndex src_start,
|
||||
SliceIndex src_end,
|
||||
SliceIndex src_step,
|
||||
void* src_arr,
|
||||
uint8_t* src_arr,
|
||||
SliceIndex src_arr_len,
|
||||
const SliceIndex size) {
|
||||
/* if dest_arr_len == 0, do nothing since we do not support extending list */
|
||||
@ -29,13 +29,11 @@ SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
|
||||
const SliceIndex src_len = (src_end >= src_start) ? (src_end - src_start + 1) : 0;
|
||||
const SliceIndex dest_len = (dest_end >= dest_start) ? (dest_end - dest_start + 1) : 0;
|
||||
if (src_len > 0) {
|
||||
__builtin_memmove(static_cast<uint8_t*>(dest_arr) + dest_start * size,
|
||||
static_cast<uint8_t*>(src_arr) + src_start * size, src_len * size);
|
||||
__builtin_memmove(dest_arr + dest_start * size, src_arr + src_start * size, src_len * size);
|
||||
}
|
||||
if (dest_len > 0) {
|
||||
/* dropping */
|
||||
__builtin_memmove(static_cast<uint8_t*>(dest_arr) + (dest_start + src_len) * size,
|
||||
static_cast<uint8_t*>(dest_arr) + (dest_end + 1) * size,
|
||||
__builtin_memmove(dest_arr + (dest_start + src_len) * size, dest_arr + (dest_end + 1) * size,
|
||||
(dest_arr_len - dest_end - 1) * size);
|
||||
}
|
||||
/* shrink size */
|
||||
@ -46,7 +44,7 @@ SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
|
||||
&& !(max(dest_start, dest_end) < min(src_start, src_end)
|
||||
|| max(src_start, src_end) < min(dest_start, dest_end));
|
||||
if (need_alloca) {
|
||||
void* tmp = __builtin_alloca(src_arr_len * size);
|
||||
uint8_t* tmp = reinterpret_cast<uint8_t*>(__builtin_alloca(src_arr_len * size));
|
||||
__builtin_memcpy(tmp, src_arr, src_arr_len * size);
|
||||
src_arr = tmp;
|
||||
}
|
||||
@ -55,24 +53,20 @@ SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
|
||||
for (; (src_step > 0) ? (src_ind <= src_end) : (src_ind >= src_end); src_ind += src_step, dest_ind += dest_step) {
|
||||
/* for constant optimization */
|
||||
if (size == 1) {
|
||||
__builtin_memcpy(static_cast<uint8_t*>(dest_arr) + dest_ind, static_cast<uint8_t*>(src_arr) + src_ind, 1);
|
||||
__builtin_memcpy(dest_arr + dest_ind, src_arr + src_ind, 1);
|
||||
} else if (size == 4) {
|
||||
__builtin_memcpy(static_cast<uint8_t*>(dest_arr) + dest_ind * 4,
|
||||
static_cast<uint8_t*>(src_arr) + src_ind * 4, 4);
|
||||
__builtin_memcpy(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 4);
|
||||
} else if (size == 8) {
|
||||
__builtin_memcpy(static_cast<uint8_t*>(dest_arr) + dest_ind * 8,
|
||||
static_cast<uint8_t*>(src_arr) + src_ind * 8, 8);
|
||||
__builtin_memcpy(dest_arr + dest_ind * 8, src_arr + src_ind * 8, 8);
|
||||
} else {
|
||||
/* memcpy for var size, cannot overlap after previous alloca */
|
||||
__builtin_memcpy(static_cast<uint8_t*>(dest_arr) + dest_ind * size,
|
||||
static_cast<uint8_t*>(src_arr) + src_ind * size, size);
|
||||
__builtin_memcpy(dest_arr + dest_ind * size, src_arr + src_ind * size, size);
|
||||
}
|
||||
}
|
||||
/* only dest_step == 1 can we shrink the dest list. */
|
||||
/* size should be ensured prior to calling this function */
|
||||
if (dest_step == 1 && dest_end >= dest_start) {
|
||||
__builtin_memmove(static_cast<uint8_t*>(dest_arr) + dest_ind * size,
|
||||
static_cast<uint8_t*>(dest_arr) + (dest_end + 1) * size,
|
||||
__builtin_memmove(dest_arr + dest_ind * size, dest_arr + (dest_end + 1) * size,
|
||||
(dest_arr_len - dest_end - 1) * size);
|
||||
return dest_arr_len - (dest_end - dest_ind) - 1;
|
||||
}
|
||||
|
||||
@ -90,4 +90,4 @@ double __nac3_j0(double x) {
|
||||
|
||||
return j0(x);
|
||||
}
|
||||
} // namespace
|
||||
}
|
||||
@ -19,7 +19,7 @@ SizeT __nac3_ndarray_calc_size_impl(const SizeT* list_data, SizeT list_len, Size
|
||||
}
|
||||
|
||||
template<typename SizeT>
|
||||
void __nac3_ndarray_calc_nd_indices_impl(SizeT index, const SizeT* dims, SizeT num_dims, NDIndexInt* idxs) {
|
||||
void __nac3_ndarray_calc_nd_indices_impl(SizeT index, const SizeT* dims, SizeT num_dims, NDIndex* idxs) {
|
||||
SizeT stride = 1;
|
||||
for (SizeT dim = 0; dim < num_dims; dim++) {
|
||||
SizeT i = num_dims - dim - 1;
|
||||
@ -30,10 +30,7 @@ void __nac3_ndarray_calc_nd_indices_impl(SizeT index, const SizeT* dims, SizeT n
|
||||
}
|
||||
|
||||
template<typename SizeT>
|
||||
SizeT __nac3_ndarray_flatten_index_impl(const SizeT* dims,
|
||||
SizeT num_dims,
|
||||
const NDIndexInt* indices,
|
||||
SizeT num_indices) {
|
||||
SizeT __nac3_ndarray_flatten_index_impl(const SizeT* dims, SizeT num_dims, const NDIndex* indices, SizeT num_indices) {
|
||||
SizeT idx = 0;
|
||||
SizeT stride = 1;
|
||||
for (SizeT i = 0; i < num_dims; ++i) {
|
||||
@ -80,8 +77,8 @@ void __nac3_ndarray_calc_broadcast_impl(const SizeT* lhs_dims,
|
||||
template<typename SizeT>
|
||||
void __nac3_ndarray_calc_broadcast_idx_impl(const SizeT* src_dims,
|
||||
SizeT src_ndims,
|
||||
const NDIndexInt* in_idx,
|
||||
NDIndexInt* out_idx) {
|
||||
const NDIndex* in_idx,
|
||||
NDIndex* out_idx) {
|
||||
for (SizeT i = 0; i < src_ndims; ++i) {
|
||||
SizeT src_i = src_ndims - i - 1;
|
||||
out_idx[src_i] = src_dims[src_i] == 1 ? 0 : in_idx[src_i];
|
||||
@ -99,23 +96,21 @@ __nac3_ndarray_calc_size64(const uint64_t* list_data, uint64_t list_len, uint64_
|
||||
return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_nd_indices(uint32_t index, const uint32_t* dims, uint32_t num_dims, NDIndexInt* idxs) {
|
||||
void __nac3_ndarray_calc_nd_indices(uint32_t index, const uint32_t* dims, uint32_t num_dims, NDIndex* idxs) {
|
||||
__nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_nd_indices64(uint64_t index, const uint64_t* dims, uint64_t num_dims, NDIndexInt* idxs) {
|
||||
void __nac3_ndarray_calc_nd_indices64(uint64_t index, const uint64_t* dims, uint64_t num_dims, NDIndex* idxs) {
|
||||
__nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
|
||||
}
|
||||
|
||||
uint32_t
|
||||
__nac3_ndarray_flatten_index(const uint32_t* dims, uint32_t num_dims, const NDIndexInt* indices, uint32_t num_indices) {
|
||||
__nac3_ndarray_flatten_index(const uint32_t* dims, uint32_t num_dims, const NDIndex* indices, uint32_t num_indices) {
|
||||
return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
|
||||
}
|
||||
|
||||
uint64_t __nac3_ndarray_flatten_index64(const uint64_t* dims,
|
||||
uint64_t num_dims,
|
||||
const NDIndexInt* indices,
|
||||
uint64_t num_indices) {
|
||||
uint64_t
|
||||
__nac3_ndarray_flatten_index64(const uint64_t* dims, uint64_t num_dims, const NDIndex* indices, uint64_t num_indices) {
|
||||
return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
|
||||
}
|
||||
|
||||
@ -137,15 +132,15 @@ void __nac3_ndarray_calc_broadcast64(const uint64_t* lhs_dims,
|
||||
|
||||
void __nac3_ndarray_calc_broadcast_idx(const uint32_t* src_dims,
|
||||
uint32_t src_ndims,
|
||||
const NDIndexInt* in_idx,
|
||||
NDIndexInt* out_idx) {
|
||||
const NDIndex* in_idx,
|
||||
NDIndex* out_idx) {
|
||||
__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_broadcast_idx64(const uint64_t* src_dims,
|
||||
uint64_t src_ndims,
|
||||
const NDIndexInt* in_idx,
|
||||
NDIndexInt* out_idx) {
|
||||
const NDIndex* in_idx,
|
||||
NDIndex* out_idx) {
|
||||
__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
|
||||
}
|
||||
} // namespace
|
||||
}
|
||||
@ -113,13 +113,12 @@ SizeT nbytes(const NDArray<SizeT>* ndarray) {
|
||||
*/
|
||||
template<typename SizeT>
|
||||
SizeT len(const NDArray<SizeT>* ndarray) {
|
||||
if (ndarray->ndims != 0) {
|
||||
// numpy prohibits `__len__` on unsized objects
|
||||
if (ndarray->ndims == 0) {
|
||||
raise_exception(SizeT, EXN_TYPE_ERROR, "len() of unsized object", NO_PARAM, NO_PARAM, NO_PARAM);
|
||||
} else {
|
||||
return ndarray->shape[0];
|
||||
}
|
||||
|
||||
// numpy prohibits `__len__` on unsized objects
|
||||
raise_exception(SizeT, EXN_TYPE_ERROR, "len() of unsized object", NO_PARAM, NO_PARAM, NO_PARAM);
|
||||
__builtin_unreachable();
|
||||
}
|
||||
|
||||
/**
|
||||
@ -179,10 +178,10 @@ bool is_c_contiguous(const NDArray<SizeT>* ndarray) {
|
||||
* This function does no bound check.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void* get_pelement_by_indices(const NDArray<SizeT>* ndarray, const SizeT* indices) {
|
||||
void* element = ndarray->data;
|
||||
uint8_t* get_pelement_by_indices(const NDArray<SizeT>* ndarray, const SizeT* indices) {
|
||||
uint8_t* element = ndarray->data;
|
||||
for (SizeT dim_i = 0; dim_i < ndarray->ndims; dim_i++)
|
||||
element = static_cast<uint8_t*>(element) + indices[dim_i] * ndarray->strides[dim_i];
|
||||
element += indices[dim_i] * ndarray->strides[dim_i];
|
||||
return element;
|
||||
}
|
||||
|
||||
@ -192,12 +191,12 @@ void* get_pelement_by_indices(const NDArray<SizeT>* ndarray, const SizeT* indice
|
||||
* This function does no bound check.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void* get_nth_pelement(const NDArray<SizeT>* ndarray, SizeT nth) {
|
||||
void* element = ndarray->data;
|
||||
uint8_t* get_nth_pelement(const NDArray<SizeT>* ndarray, SizeT nth) {
|
||||
uint8_t* element = ndarray->data;
|
||||
for (SizeT i = 0; i < ndarray->ndims; i++) {
|
||||
SizeT axis = ndarray->ndims - i - 1;
|
||||
SizeT dim = ndarray->shape[axis];
|
||||
element = static_cast<uint8_t*>(element) + ndarray->strides[axis] * (nth % dim);
|
||||
element += ndarray->strides[axis] * (nth % dim);
|
||||
nth /= dim;
|
||||
}
|
||||
return element;
|
||||
@ -225,7 +224,7 @@ void set_strides_by_shape(NDArray<SizeT>* ndarray) {
|
||||
* @param pvalue Pointer to the value `pelement` will be set to.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void set_pelement_value(NDArray<SizeT>* ndarray, void* pelement, const void* pvalue) {
|
||||
void set_pelement_value(NDArray<SizeT>* ndarray, uint8_t* pelement, const uint8_t* pvalue) {
|
||||
__builtin_memcpy(pelement, pvalue, ndarray->itemsize);
|
||||
}
|
||||
|
||||
@ -308,19 +307,19 @@ bool __nac3_ndarray_is_c_contiguous64(NDArray<int64_t>* ndarray) {
|
||||
return is_c_contiguous(ndarray);
|
||||
}
|
||||
|
||||
void* __nac3_ndarray_get_nth_pelement(const NDArray<int32_t>* ndarray, int32_t nth) {
|
||||
uint8_t* __nac3_ndarray_get_nth_pelement(const NDArray<int32_t>* ndarray, int32_t nth) {
|
||||
return get_nth_pelement(ndarray, nth);
|
||||
}
|
||||
|
||||
void* __nac3_ndarray_get_nth_pelement64(const NDArray<int64_t>* ndarray, int64_t nth) {
|
||||
uint8_t* __nac3_ndarray_get_nth_pelement64(const NDArray<int64_t>* ndarray, int64_t nth) {
|
||||
return get_nth_pelement(ndarray, nth);
|
||||
}
|
||||
|
||||
void* __nac3_ndarray_get_pelement_by_indices(const NDArray<int32_t>* ndarray, int32_t* indices) {
|
||||
uint8_t* __nac3_ndarray_get_pelement_by_indices(const NDArray<int32_t>* ndarray, int32_t* indices) {
|
||||
return get_pelement_by_indices(ndarray, indices);
|
||||
}
|
||||
|
||||
void* __nac3_ndarray_get_pelement_by_indices64(const NDArray<int64_t>* ndarray, int64_t* indices) {
|
||||
uint8_t* __nac3_ndarray_get_pelement_by_indices64(const NDArray<int64_t>* ndarray, int64_t* indices) {
|
||||
return get_pelement_by_indices(ndarray, indices);
|
||||
}
|
||||
|
||||
|
||||
@ -7,16 +7,15 @@ namespace {
|
||||
* @brief The NDArray object
|
||||
*
|
||||
* Official numpy implementation:
|
||||
* https://github.com/numpy/numpy/blob/735a477f0bc2b5b84d0e72d92f224bde78d4e069/doc/source/reference/c-api/types-and-structures.rst#pyarrayinterface
|
||||
*
|
||||
* Note that this implementation is based on `PyArrayInterface` rather of `PyArrayObject`. The
|
||||
* difference between `PyArrayInterface` and `PyArrayObject` (relevant to our implementation) is
|
||||
* that `PyArrayInterface` *has* `itemsize` and uses `void*` for its `data`, whereas `PyArrayObject`
|
||||
* does not require `itemsize` (probably using `strides[-1]` instead) and uses `char*` for its
|
||||
* `data`. There are also minor differences in the struct layout.
|
||||
* https://github.com/numpy/numpy/blob/735a477f0bc2b5b84d0e72d92f224bde78d4e069/doc/source/reference/c-api/types-and-structures.rst
|
||||
*/
|
||||
template<typename SizeT>
|
||||
struct NDArray {
|
||||
/**
|
||||
* @brief The underlying data this `ndarray` is pointing to.
|
||||
*/
|
||||
uint8_t* data;
|
||||
|
||||
/**
|
||||
* @brief The number of bytes of a single element in `data`.
|
||||
*/
|
||||
@ -42,10 +41,5 @@ struct NDArray {
|
||||
* Note that `strides` can have negative values or contain 0.
|
||||
*/
|
||||
SizeT* strides;
|
||||
|
||||
/**
|
||||
* @brief The underlying data this `ndarray` is pointing to.
|
||||
*/
|
||||
void* data;
|
||||
};
|
||||
} // namespace
|
||||
@ -1,220 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/ndarray/basic.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
#include "irrt/range.hpp"
|
||||
#include "irrt/slice.hpp"
|
||||
|
||||
namespace {
|
||||
typedef uint8_t NDIndexType;
|
||||
|
||||
/**
|
||||
* @brief A single element index
|
||||
*
|
||||
* `data` points to a `int32_t`.
|
||||
*/
|
||||
const NDIndexType ND_INDEX_TYPE_SINGLE_ELEMENT = 0;
|
||||
|
||||
/**
|
||||
* @brief A slice index
|
||||
*
|
||||
* `data` points to a `Slice<int32_t>`.
|
||||
*/
|
||||
const NDIndexType ND_INDEX_TYPE_SLICE = 1;
|
||||
|
||||
/**
|
||||
* @brief `np.newaxis` / `None`
|
||||
*
|
||||
* `data` is unused.
|
||||
*/
|
||||
const NDIndexType ND_INDEX_TYPE_NEWAXIS = 2;
|
||||
|
||||
/**
|
||||
* @brief `Ellipsis` / `...`
|
||||
*
|
||||
* `data` is unused.
|
||||
*/
|
||||
const NDIndexType ND_INDEX_TYPE_ELLIPSIS = 3;
|
||||
|
||||
/**
|
||||
* @brief An index used in ndarray indexing
|
||||
*
|
||||
* That is:
|
||||
* ```
|
||||
* my_ndarray[::-1, 3, ..., np.newaxis]
|
||||
* ^^^^ ^ ^^^ ^^^^^^^^^^ each of these is represented by an NDIndex.
|
||||
* ```
|
||||
*/
|
||||
struct NDIndex {
|
||||
/**
|
||||
* @brief Enum tag to specify the type of index.
|
||||
*
|
||||
* Please see the comment of each enum constant.
|
||||
*/
|
||||
NDIndexType type;
|
||||
|
||||
/**
|
||||
* @brief The accompanying data associated with `type`.
|
||||
*
|
||||
* Please see the comment of each enum constant.
|
||||
*/
|
||||
uint8_t* data;
|
||||
};
|
||||
} // namespace
|
||||
|
||||
namespace {
|
||||
namespace ndarray {
|
||||
namespace indexing {
|
||||
/**
|
||||
* @brief Perform ndarray "basic indexing" (https://numpy.org/doc/stable/user/basics.indexing.html#basic-indexing)
|
||||
*
|
||||
* This function is very similar to performing `dst_ndarray = src_ndarray[indices]` in Python.
|
||||
*
|
||||
* This function also does proper assertions on `indices` to check for out of bounds access and more.
|
||||
*
|
||||
* # Notes on `dst_ndarray`
|
||||
* The caller is responsible for allocating space for the resulting ndarray.
|
||||
* Here is what this function expects from `dst_ndarray` when called:
|
||||
* - `dst_ndarray->data` does not have to be initialized.
|
||||
* - `dst_ndarray->itemsize` does not have to be initialized.
|
||||
* - `dst_ndarray->ndims` must be initialized, and it must be equal to the expected `ndims` of the `dst_ndarray` after
|
||||
* indexing `src_ndarray` with `indices`.
|
||||
* - `dst_ndarray->shape` must be allocated, through it can contain uninitialized values.
|
||||
* - `dst_ndarray->strides` must be allocated, through it can contain uninitialized values.
|
||||
* When this function call ends:
|
||||
* - `dst_ndarray->data` is set to `src_ndarray->data`.
|
||||
* - `dst_ndarray->itemsize` is set to `src_ndarray->itemsize`.
|
||||
* - `dst_ndarray->ndims` is unchanged.
|
||||
* - `dst_ndarray->shape` is updated according to how `src_ndarray` is indexed.
|
||||
* - `dst_ndarray->strides` is updated accordingly by how ndarray indexing works.
|
||||
*
|
||||
* @param indices indices to index `src_ndarray`, ordered in the same way you would write them in Python.
|
||||
* @param src_ndarray The NDArray to be indexed.
|
||||
* @param dst_ndarray The resulting NDArray after indexing. Further details in the comments above,
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void index(SizeT num_indices, const NDIndex* indices, const NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
|
||||
// Validate `indices`.
|
||||
|
||||
// Expected value of `dst_ndarray->ndims`.
|
||||
SizeT expected_dst_ndims = src_ndarray->ndims;
|
||||
// To check for "too many indices for array: array is ?-dimensional, but ? were indexed"
|
||||
SizeT num_indexed = 0;
|
||||
// There may be ellipsis `...` in `indices`. There can only be 0 or 1 ellipsis.
|
||||
SizeT num_ellipsis = 0;
|
||||
|
||||
for (SizeT i = 0; i < num_indices; i++) {
|
||||
if (indices[i].type == ND_INDEX_TYPE_SINGLE_ELEMENT) {
|
||||
expected_dst_ndims--;
|
||||
num_indexed++;
|
||||
} else if (indices[i].type == ND_INDEX_TYPE_SLICE) {
|
||||
num_indexed++;
|
||||
} else if (indices[i].type == ND_INDEX_TYPE_NEWAXIS) {
|
||||
expected_dst_ndims++;
|
||||
} else if (indices[i].type == ND_INDEX_TYPE_ELLIPSIS) {
|
||||
num_ellipsis++;
|
||||
if (num_ellipsis > 1) {
|
||||
raise_exception(SizeT, EXN_INDEX_ERROR, "an index can only have a single ellipsis ('...')", NO_PARAM,
|
||||
NO_PARAM, NO_PARAM);
|
||||
}
|
||||
} else {
|
||||
__builtin_unreachable();
|
||||
}
|
||||
}
|
||||
|
||||
debug_assert_eq(SizeT, expected_dst_ndims, dst_ndarray->ndims);
|
||||
|
||||
if (src_ndarray->ndims - num_indexed < 0) {
|
||||
raise_exception(SizeT, EXN_INDEX_ERROR,
|
||||
"too many indices for array: array is {0}-dimensional, "
|
||||
"but {1} were indexed",
|
||||
src_ndarray->ndims, num_indices, NO_PARAM);
|
||||
}
|
||||
|
||||
dst_ndarray->data = src_ndarray->data;
|
||||
dst_ndarray->itemsize = src_ndarray->itemsize;
|
||||
|
||||
// Reference code:
|
||||
// https://github.com/wadetb/tinynumpy/blob/0d23d22e07062ffab2afa287374c7b366eebdda1/tinynumpy/tinynumpy.py#L652
|
||||
SizeT src_axis = 0;
|
||||
SizeT dst_axis = 0;
|
||||
|
||||
for (int32_t i = 0; i < num_indices; i++) {
|
||||
const NDIndex* index = &indices[i];
|
||||
if (index->type == ND_INDEX_TYPE_SINGLE_ELEMENT) {
|
||||
SizeT input = (SizeT) * ((int32_t*)index->data);
|
||||
|
||||
SizeT k = slice::resolve_index_in_length(src_ndarray->shape[src_axis], input);
|
||||
if (k == -1) {
|
||||
raise_exception(SizeT, EXN_INDEX_ERROR,
|
||||
"index {0} is out of bounds for axis {1} "
|
||||
"with size {2}",
|
||||
input, src_axis, src_ndarray->shape[src_axis]);
|
||||
}
|
||||
|
||||
dst_ndarray->data = static_cast<uint8_t*>(dst_ndarray->data) + k * src_ndarray->strides[src_axis];
|
||||
|
||||
src_axis++;
|
||||
} else if (index->type == ND_INDEX_TYPE_SLICE) {
|
||||
Slice<int32_t>* slice = (Slice<int32_t>*)index->data;
|
||||
|
||||
Range<int32_t> range = slice->indices_checked<SizeT>(src_ndarray->shape[src_axis]);
|
||||
|
||||
dst_ndarray->data = static_cast<uint8_t*>(dst_ndarray->data) + (SizeT)range.start * src_ndarray->strides[src_axis];
|
||||
dst_ndarray->strides[dst_axis] = ((SizeT)range.step) * src_ndarray->strides[src_axis];
|
||||
dst_ndarray->shape[dst_axis] = (SizeT)range.len<SizeT>();
|
||||
|
||||
dst_axis++;
|
||||
src_axis++;
|
||||
} else if (index->type == ND_INDEX_TYPE_NEWAXIS) {
|
||||
dst_ndarray->strides[dst_axis] = 0;
|
||||
dst_ndarray->shape[dst_axis] = 1;
|
||||
|
||||
dst_axis++;
|
||||
} else if (index->type == ND_INDEX_TYPE_ELLIPSIS) {
|
||||
// The number of ':' entries this '...' implies.
|
||||
SizeT ellipsis_size = src_ndarray->ndims - num_indexed;
|
||||
|
||||
for (SizeT j = 0; j < ellipsis_size; j++) {
|
||||
dst_ndarray->strides[dst_axis] = src_ndarray->strides[src_axis];
|
||||
dst_ndarray->shape[dst_axis] = src_ndarray->shape[src_axis];
|
||||
|
||||
dst_axis++;
|
||||
src_axis++;
|
||||
}
|
||||
} else {
|
||||
__builtin_unreachable();
|
||||
}
|
||||
}
|
||||
|
||||
for (; dst_axis < dst_ndarray->ndims; dst_axis++, src_axis++) {
|
||||
dst_ndarray->shape[dst_axis] = src_ndarray->shape[src_axis];
|
||||
dst_ndarray->strides[dst_axis] = src_ndarray->strides[src_axis];
|
||||
}
|
||||
|
||||
debug_assert_eq(SizeT, src_ndarray->ndims, src_axis);
|
||||
debug_assert_eq(SizeT, dst_ndarray->ndims, dst_axis);
|
||||
}
|
||||
} // namespace indexing
|
||||
} // namespace ndarray
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::indexing;
|
||||
|
||||
void __nac3_ndarray_index(int32_t num_indices,
|
||||
NDIndex* indices,
|
||||
NDArray<int32_t>* src_ndarray,
|
||||
NDArray<int32_t>* dst_ndarray) {
|
||||
index(num_indices, indices, src_ndarray, dst_ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_index64(int64_t num_indices,
|
||||
NDIndex* indices,
|
||||
NDArray<int64_t>* src_ndarray,
|
||||
NDArray<int64_t>* dst_ndarray) {
|
||||
index(num_indices, indices, src_ndarray, dst_ndarray);
|
||||
}
|
||||
}
|
||||
@ -58,7 +58,7 @@ struct NDIter {
|
||||
*
|
||||
* Initially this points to first element of the ndarray.
|
||||
*/
|
||||
void* element;
|
||||
uint8_t* element;
|
||||
|
||||
/**
|
||||
* @brief Cache for the product of shape.
|
||||
@ -67,7 +67,7 @@ struct NDIter {
|
||||
*/
|
||||
SizeT size;
|
||||
|
||||
void initialize(SizeT ndims, SizeT* shape, SizeT* strides, void* element, SizeT* indices) {
|
||||
void initialize(SizeT ndims, SizeT* shape, SizeT* strides, uint8_t* element, SizeT* indices) {
|
||||
this->ndims = ndims;
|
||||
this->shape = shape;
|
||||
this->strides = strides;
|
||||
@ -108,9 +108,9 @@ struct NDIter {
|
||||
// TODO: There is something called backstrides to speedup iteration.
|
||||
// See https://ajcr.net/stride-guide-part-1/, and
|
||||
// https://docs.scipy.org/doc/numpy-1.13.0/reference/c-api.types-and-structures.html#c.PyArrayIterObject.PyArrayIterObject.backstrides.
|
||||
element = static_cast<void*>(reinterpret_cast<uint8_t*>(element) - strides[axis] * (shape[axis] - 1));
|
||||
element -= strides[axis] * (shape[axis] - 1);
|
||||
} else {
|
||||
element = static_cast<void*>(reinterpret_cast<uint8_t*>(element) + strides[axis]);
|
||||
element += strides[axis];
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
@ -1,47 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/debug.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
|
||||
namespace {
|
||||
namespace range {
|
||||
template<typename T>
|
||||
T len(T start, T stop, T step) {
|
||||
// Reference:
|
||||
// https://github.com/python/cpython/blob/9dbd12375561a393eaec4b21ee4ac568a407cdb0/Objects/rangeobject.c#L933
|
||||
if (step > 0 && start < stop)
|
||||
return 1 + (stop - 1 - start) / step;
|
||||
else if (step < 0 && start > stop)
|
||||
return 1 + (start - 1 - stop) / (-step);
|
||||
else
|
||||
return 0;
|
||||
}
|
||||
} // namespace range
|
||||
|
||||
/**
|
||||
* @brief A Python range.
|
||||
*/
|
||||
template<typename T>
|
||||
struct Range {
|
||||
T start;
|
||||
T stop;
|
||||
T step;
|
||||
|
||||
/**
|
||||
* @brief Calculate the `len()` of this range.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
T len() {
|
||||
debug_assert(SizeT, step != 0);
|
||||
return range::len(start, stop, step);
|
||||
}
|
||||
};
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace range;
|
||||
|
||||
SliceIndex __nac3_range_slice_len(const SliceIndex start, const SliceIndex end, const SliceIndex step) {
|
||||
return len(start, end, step);
|
||||
}
|
||||
}
|
||||
@ -1,145 +1,6 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/debug.hpp"
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/math_util.hpp"
|
||||
#include "irrt/range.hpp"
|
||||
|
||||
namespace {
|
||||
namespace slice {
|
||||
/**
|
||||
* @brief Resolve a possibly negative index in a list of a known length.
|
||||
*
|
||||
* Returns -1 if the resolved index is out of the list's bounds.
|
||||
*/
|
||||
template<typename T>
|
||||
T resolve_index_in_length(T length, T index) {
|
||||
T resolved = index < 0 ? length + index : index;
|
||||
if (0 <= resolved && resolved < length) {
|
||||
return resolved;
|
||||
} else {
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Resolve a slice as a range.
|
||||
*
|
||||
* This is equivalent to `range(*slice(start, stop, step).indices(length))` in Python.
|
||||
*/
|
||||
template<typename T>
|
||||
void indices(bool start_defined,
|
||||
T start,
|
||||
bool stop_defined,
|
||||
T stop,
|
||||
bool step_defined,
|
||||
T step,
|
||||
T length,
|
||||
T* range_start,
|
||||
T* range_stop,
|
||||
T* range_step) {
|
||||
// Reference: https://github.com/python/cpython/blob/main/Objects/sliceobject.c#L388
|
||||
*range_step = step_defined ? step : 1;
|
||||
bool step_is_negative = *range_step < 0;
|
||||
|
||||
T lower, upper;
|
||||
if (step_is_negative) {
|
||||
lower = -1;
|
||||
upper = length - 1;
|
||||
} else {
|
||||
lower = 0;
|
||||
upper = length;
|
||||
}
|
||||
|
||||
if (start_defined) {
|
||||
*range_start = start < 0 ? max(lower, start + length) : min(upper, start);
|
||||
} else {
|
||||
*range_start = step_is_negative ? upper : lower;
|
||||
}
|
||||
|
||||
if (stop_defined) {
|
||||
*range_stop = stop < 0 ? max(lower, stop + length) : min(upper, stop);
|
||||
} else {
|
||||
*range_stop = step_is_negative ? lower : upper;
|
||||
}
|
||||
}
|
||||
} // namespace slice
|
||||
|
||||
/**
|
||||
* @brief A Python-like slice with **unresolved** indices.
|
||||
*/
|
||||
template<typename T>
|
||||
struct Slice {
|
||||
bool start_defined;
|
||||
T start;
|
||||
|
||||
bool stop_defined;
|
||||
T stop;
|
||||
|
||||
bool step_defined;
|
||||
T step;
|
||||
|
||||
Slice() { this->reset(); }
|
||||
|
||||
void reset() {
|
||||
this->start_defined = false;
|
||||
this->stop_defined = false;
|
||||
this->step_defined = false;
|
||||
}
|
||||
|
||||
void set_start(T start) {
|
||||
this->start_defined = true;
|
||||
this->start = start;
|
||||
}
|
||||
|
||||
void set_stop(T stop) {
|
||||
this->stop_defined = true;
|
||||
this->stop = stop;
|
||||
}
|
||||
|
||||
void set_step(T step) {
|
||||
this->step_defined = true;
|
||||
this->step = step;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Resolve this slice as a range.
|
||||
*
|
||||
* In Python, this would be `range(*slice(start, stop, step).indices(length))`.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
Range<T> indices(T length) {
|
||||
// Reference:
|
||||
// https://github.com/python/cpython/blob/main/Objects/sliceobject.c#L388
|
||||
debug_assert(SizeT, length >= 0);
|
||||
|
||||
Range<T> result;
|
||||
slice::indices(start_defined, start, stop_defined, stop, step_defined, step, length, &result.start,
|
||||
&result.stop, &result.step);
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Like `.indices()` but with assertions.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
Range<T> indices_checked(T length) {
|
||||
// TODO: Switch to `SizeT length`
|
||||
|
||||
if (length < 0) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "length should not be negative, got {0}", length, NO_PARAM,
|
||||
NO_PARAM);
|
||||
}
|
||||
|
||||
if (this->step_defined && this->step == 0) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "slice step cannot be zero", NO_PARAM, NO_PARAM, NO_PARAM);
|
||||
}
|
||||
|
||||
return this->indices<SizeT>(length);
|
||||
}
|
||||
};
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
|
||||
@ -153,4 +14,15 @@ SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
|
||||
}
|
||||
return i;
|
||||
}
|
||||
|
||||
SliceIndex __nac3_range_slice_len(const SliceIndex start, const SliceIndex end, const SliceIndex step) {
|
||||
SliceIndex diff = end - start;
|
||||
if (diff > 0 && step > 0) {
|
||||
return ((diff - 1) / step) + 1;
|
||||
} else if (diff < 0 && step < 0) {
|
||||
return ((diff + 1) / step) + 1;
|
||||
} else {
|
||||
return 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,21 +0,0 @@
|
||||
[package]
|
||||
name = "nac3core_derive"
|
||||
version = "0.1.0"
|
||||
edition = "2021"
|
||||
|
||||
[lib]
|
||||
proc-macro = true
|
||||
|
||||
[[test]]
|
||||
name = "structfields_tests"
|
||||
path = "tests/structfields_test.rs"
|
||||
|
||||
[dev-dependencies]
|
||||
nac3core = { path = ".." }
|
||||
trybuild = { version = "1.0", features = ["diff"] }
|
||||
|
||||
[dependencies]
|
||||
proc-macro2 = "1.0"
|
||||
proc-macro-error = "1.0"
|
||||
syn = "2.0"
|
||||
quote = "1.0"
|
||||
@ -1,320 +0,0 @@
|
||||
use proc_macro::TokenStream;
|
||||
use proc_macro_error::{abort, proc_macro_error};
|
||||
use quote::quote;
|
||||
use syn::{
|
||||
parse_macro_input, spanned::Spanned, Data, DataStruct, Expr, ExprField, ExprMethodCall,
|
||||
ExprPath, GenericArgument, Ident, LitStr, Path, PathArguments, Type, TypePath,
|
||||
};
|
||||
|
||||
/// Extracts all generic arguments of a [`Type`] into a [`Vec`].
|
||||
///
|
||||
/// Returns [`Some`] of a possibly-empty [`Vec`] if the path of `ty` matches with
|
||||
/// `expected_ty_name`, otherwise returns [`None`].
|
||||
fn extract_generic_args(expected_ty_name: &'static str, ty: &Type) -> Option<Vec<GenericArgument>> {
|
||||
let Type::Path(TypePath { qself: None, path, .. }) = ty else {
|
||||
return None;
|
||||
};
|
||||
|
||||
let segments = &path.segments;
|
||||
if segments.len() != 1 {
|
||||
return None;
|
||||
};
|
||||
|
||||
let segment = segments.iter().next().unwrap();
|
||||
if segment.ident != expected_ty_name {
|
||||
return None;
|
||||
}
|
||||
|
||||
let PathArguments::AngleBracketed(path_args) = &segment.arguments else {
|
||||
return Some(Vec::new());
|
||||
};
|
||||
let args = &path_args.args;
|
||||
|
||||
Some(args.iter().cloned().collect::<Vec<_>>())
|
||||
}
|
||||
|
||||
/// Maps a `path` matching one of the `target_idents` into the `replacement` [`Ident`].
|
||||
fn map_path_to_ident(path: &Path, target_idents: &[&str], replacement: &str) -> Option<Ident> {
|
||||
path.require_ident()
|
||||
.ok()
|
||||
.filter(|ident| target_idents.iter().any(|target| ident == target))
|
||||
.map(|ident| Ident::new(replacement, ident.span()))
|
||||
}
|
||||
|
||||
/// Extracts the left-hand side of a dot-expression.
|
||||
fn extract_dot_operand(expr: &Expr) -> Option<&Expr> {
|
||||
match expr {
|
||||
Expr::MethodCall(ExprMethodCall { receiver: operand, .. })
|
||||
| Expr::Field(ExprField { base: operand, .. }) => Some(operand),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
|
||||
/// Replaces the top-level receiver of a dot-expression with an [`Ident`], returning `Some(&mut expr)` if the
|
||||
/// replacement is performed.
|
||||
///
|
||||
/// The top-level receiver is the left-most receiver expression, e.g. the top-level receiver of `a.b.c.foo()` is `a`.
|
||||
fn replace_top_level_receiver(expr: &mut Expr, ident: Ident) -> Option<&mut Expr> {
|
||||
if let Expr::MethodCall(ExprMethodCall { receiver: operand, .. })
|
||||
| Expr::Field(ExprField { base: operand, .. }) = expr
|
||||
{
|
||||
return if extract_dot_operand(operand).is_some() {
|
||||
if replace_top_level_receiver(operand, ident).is_some() {
|
||||
Some(expr)
|
||||
} else {
|
||||
None
|
||||
}
|
||||
} else {
|
||||
*operand = Box::new(Expr::Path(ExprPath {
|
||||
attrs: Vec::default(),
|
||||
qself: None,
|
||||
path: ident.into(),
|
||||
}));
|
||||
|
||||
Some(expr)
|
||||
};
|
||||
}
|
||||
|
||||
None
|
||||
}
|
||||
|
||||
/// Iterates all operands to the left-hand side of the `.` of an [expression][`Expr`], i.e. the container operand of all
|
||||
/// [`Expr::Field`] and the receiver operand of all [`Expr::MethodCall`].
|
||||
///
|
||||
/// The iterator will return the operand expressions in reverse order of appearance. For example, `a.b.c.func()` will
|
||||
/// return `vec![c, b, a]`.
|
||||
fn iter_dot_operands(expr: &Expr) -> impl Iterator<Item = &Expr> {
|
||||
let mut o = extract_dot_operand(expr);
|
||||
|
||||
std::iter::from_fn(move || {
|
||||
let this = o;
|
||||
o = o.as_ref().and_then(|o| extract_dot_operand(o));
|
||||
|
||||
this
|
||||
})
|
||||
}
|
||||
|
||||
/// Normalizes a value expression for use when creating an instance of this structure, returning a
|
||||
/// [`proc_macro2::TokenStream`] of tokens representing the normalized expression.
|
||||
fn normalize_value_expr(expr: &Expr) -> proc_macro2::TokenStream {
|
||||
match &expr {
|
||||
Expr::Path(ExprPath { qself: None, path, .. }) => {
|
||||
if let Some(ident) = map_path_to_ident(path, &["usize", "size_t"], "llvm_usize") {
|
||||
quote! { #ident }
|
||||
} else {
|
||||
abort!(
|
||||
path,
|
||||
format!(
|
||||
"Expected one of `size_t`, `usize`, or an implicit call expression in #[value_type(...)], found {}",
|
||||
quote!(#expr).to_string(),
|
||||
)
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
Expr::Call(_) => {
|
||||
quote! { ctx.#expr }
|
||||
}
|
||||
|
||||
Expr::MethodCall(_) => {
|
||||
let base_receiver = iter_dot_operands(expr).last();
|
||||
|
||||
match base_receiver {
|
||||
// `usize.{...}`, `size_t.{...}` -> Rewrite the identifiers to `llvm_usize`
|
||||
Some(Expr::Path(ExprPath { qself: None, path, .. }))
|
||||
if map_path_to_ident(path, &["usize", "size_t"], "llvm_usize").is_some() =>
|
||||
{
|
||||
let ident =
|
||||
map_path_to_ident(path, &["usize", "size_t"], "llvm_usize").unwrap();
|
||||
|
||||
let mut expr = expr.clone();
|
||||
let expr = replace_top_level_receiver(&mut expr, ident).unwrap();
|
||||
|
||||
quote!(#expr)
|
||||
}
|
||||
|
||||
// `ctx.{...}`, `context.{...}` -> Rewrite the identifiers to `ctx`
|
||||
Some(Expr::Path(ExprPath { qself: None, path, .. }))
|
||||
if map_path_to_ident(path, &["ctx", "context"], "ctx").is_some() =>
|
||||
{
|
||||
let ident = map_path_to_ident(path, &["ctx", "context"], "ctx").unwrap();
|
||||
|
||||
let mut expr = expr.clone();
|
||||
let expr = replace_top_level_receiver(&mut expr, ident).unwrap();
|
||||
|
||||
quote!(#expr)
|
||||
}
|
||||
|
||||
// No reserved identifier prefix -> Prepend `ctx.` to the entire expression
|
||||
_ => quote! { ctx.#expr },
|
||||
}
|
||||
}
|
||||
|
||||
_ => {
|
||||
abort!(
|
||||
expr,
|
||||
format!(
|
||||
"Expected one of `size_t`, `usize`, or an implicit call expression in #[value_type(...)], found {}",
|
||||
quote!(#expr).to_string(),
|
||||
)
|
||||
)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Derives an implementation of `codegen::types::structure::StructFields`.
|
||||
///
|
||||
/// The benefit of using `#[derive(StructFields)]` is that all index- or order-dependent logic required by
|
||||
/// `impl StructFields` is automatically generated by this implementation, including the field index as required by
|
||||
/// `StructField::new` and the fields as returned by `StructFields::to_vec`.
|
||||
///
|
||||
/// # Prerequisites
|
||||
///
|
||||
/// In order to derive from [`StructFields`], you must implement (or derive) [`Eq`] and [`Copy`] as required by
|
||||
/// `StructFields`.
|
||||
///
|
||||
/// Moreover, `#[derive(StructFields)]` can only be used for `struct`s with named fields, and may only contain fields
|
||||
/// with either `StructField` or [`PhantomData`] types.
|
||||
///
|
||||
/// # Attributes for [`StructFields`]
|
||||
///
|
||||
/// Each `StructField` field must be declared with the `#[value_type(...)]` attribute. The argument of `value_type`
|
||||
/// accepts one of the following:
|
||||
///
|
||||
/// - An expression returning an instance of `inkwell::types::BasicType` (with or without the receiver `ctx`/`context`).
|
||||
/// For example, `context.i8_type()`, `ctx.i8_type()`, and `i8_type()` all refer to `i8`.
|
||||
/// - The reserved identifiers `usize` and `size_t` referring to an `inkwell::types::IntType` of the platform-dependent
|
||||
/// integer size. `usize` and `size_t` can also be used as the receiver to other method calls, e.g.
|
||||
/// `usize.array_type(3)`.
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
/// The following is an example of an LLVM slice implemented using `#[derive(StructFields)]`.
|
||||
///
|
||||
/// ```rust,ignore
|
||||
/// use nac3core::{
|
||||
/// codegen::types::structure::StructField,
|
||||
/// inkwell::{
|
||||
/// values::{IntValue, PointerValue},
|
||||
/// AddressSpace,
|
||||
/// },
|
||||
/// };
|
||||
/// use nac3core_derive::StructFields;
|
||||
///
|
||||
/// // All classes that implement StructFields must also implement Eq and Copy
|
||||
/// #[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
/// pub struct SliceValue<'ctx> {
|
||||
/// // Declares ptr have a value type of i8*
|
||||
/// //
|
||||
/// // Can also be written as `ctx.i8_type().ptr_type(...)` or `context.i8_type().ptr_type(...)`
|
||||
/// #[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
/// ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
///
|
||||
/// // Declares len have a value type of usize, depending on the target compilation platform
|
||||
/// #[value_type(usize)]
|
||||
/// len: StructField<'ctx, IntValue<'ctx>>,
|
||||
/// }
|
||||
/// ```
|
||||
#[proc_macro_derive(StructFields, attributes(value_type))]
|
||||
#[proc_macro_error]
|
||||
pub fn derive(input: TokenStream) -> TokenStream {
|
||||
let input = parse_macro_input!(input as syn::DeriveInput);
|
||||
let ident = &input.ident;
|
||||
|
||||
let Data::Struct(DataStruct { fields, .. }) = &input.data else {
|
||||
abort!(input, "Only structs with named fields are supported");
|
||||
};
|
||||
if let Err(err_span) =
|
||||
fields
|
||||
.iter()
|
||||
.try_for_each(|field| if field.ident.is_some() { Ok(()) } else { Err(field.span()) })
|
||||
{
|
||||
abort!(err_span, "Only structs with named fields are supported");
|
||||
};
|
||||
|
||||
// Check if struct<'ctx>
|
||||
if input.generics.params.len() != 1 {
|
||||
abort!(input.generics, "Expected exactly 1 generic parameter")
|
||||
}
|
||||
|
||||
let phantom_info = fields
|
||||
.iter()
|
||||
.filter(|field| extract_generic_args("PhantomData", &field.ty).is_some())
|
||||
.map(|field| field.ident.as_ref().unwrap())
|
||||
.cloned()
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
let field_info = fields
|
||||
.iter()
|
||||
.filter(|field| extract_generic_args("PhantomData", &field.ty).is_none())
|
||||
.map(|field| {
|
||||
let ident = field.ident.as_ref().unwrap();
|
||||
let ty = &field.ty;
|
||||
|
||||
let Some(_) = extract_generic_args("StructField", ty) else {
|
||||
abort!(field, "Only StructField and PhantomData are allowed")
|
||||
};
|
||||
|
||||
let attrs = &field.attrs;
|
||||
let Some(value_type_attr) =
|
||||
attrs.iter().find(|attr| attr.path().is_ident("value_type"))
|
||||
else {
|
||||
abort!(field, "Expected #[value_type(...)] attribute for field");
|
||||
};
|
||||
|
||||
let Ok(value_type_expr) = value_type_attr.parse_args::<Expr>() else {
|
||||
abort!(value_type_attr, "Expected expression in #[value_type(...)]");
|
||||
};
|
||||
|
||||
let value_expr_toks = normalize_value_expr(&value_type_expr);
|
||||
|
||||
(ident.clone(), value_expr_toks)
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
// `<*>::new` impl of `StructField` and `PhantomData` for `StructFields::new`
|
||||
let phantoms_create = phantom_info
|
||||
.iter()
|
||||
.map(|id| quote! { #id: ::std::marker::PhantomData })
|
||||
.collect::<Vec<_>>();
|
||||
let fields_create = field_info
|
||||
.iter()
|
||||
.map(|(id, ty)| {
|
||||
let id_lit = LitStr::new(&id.to_string(), id.span());
|
||||
quote! {
|
||||
#id: ::nac3core::codegen::types::structure::StructField::create(
|
||||
&mut counter,
|
||||
#id_lit,
|
||||
#ty,
|
||||
)
|
||||
}
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
// `.into()` impl of `StructField` for `StructFields::to_vec`
|
||||
let fields_into =
|
||||
field_info.iter().map(|(id, _)| quote! { self.#id.into() }).collect::<Vec<_>>();
|
||||
|
||||
let impl_block = quote! {
|
||||
impl<'ctx> ::nac3core::codegen::types::structure::StructFields<'ctx> for #ident<'ctx> {
|
||||
fn new(ctx: impl ::nac3core::inkwell::context::AsContextRef<'ctx>, llvm_usize: ::nac3core::inkwell::types::IntType<'ctx>) -> Self {
|
||||
let ctx = unsafe { ::nac3core::inkwell::context::ContextRef::new(ctx.as_ctx_ref()) };
|
||||
|
||||
let mut counter = ::nac3core::codegen::types::structure::FieldIndexCounter::default();
|
||||
|
||||
#ident {
|
||||
#(#fields_create),*
|
||||
#(#phantoms_create),*
|
||||
}
|
||||
}
|
||||
|
||||
fn to_vec(&self) -> ::std::vec::Vec<(&'static str, ::nac3core::inkwell::types::BasicTypeEnum<'ctx>)> {
|
||||
vec![
|
||||
#(#fields_into),*
|
||||
]
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
impl_block.into()
|
||||
}
|
||||
@ -1,9 +0,0 @@
|
||||
use nac3core_derive::StructFields;
|
||||
use std::marker::PhantomData;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct EmptyValue<'ctx> {
|
||||
_phantom: PhantomData<&'ctx ()>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
@ -1,20 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct NDArrayValue<'ctx> {
|
||||
#[value_type(usize)]
|
||||
ndims: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
shape: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
data: StructField<'ctx, PointerValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
@ -1,18 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
@ -1,18 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
#[value_type(context.i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
@ -1,18 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
#[value_type(ctx.i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
@ -1,18 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(size_t)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
@ -1,10 +0,0 @@
|
||||
#[test]
|
||||
fn test_parse_empty() {
|
||||
let t = trybuild::TestCases::new();
|
||||
t.pass("tests/structfields_empty.rs");
|
||||
t.pass("tests/structfields_slice.rs");
|
||||
t.pass("tests/structfields_slice_ctx.rs");
|
||||
t.pass("tests/structfields_slice_context.rs");
|
||||
t.pass("tests/structfields_slice_sizet.rs");
|
||||
t.pass("tests/structfields_ndarray.rs");
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
1765
nac3core/src/codegen/classes.rs
Normal file
1765
nac3core/src/codegen/classes.rs
Normal file
File diff suppressed because it is too large
Load Diff
@ -18,7 +18,12 @@ use nac3parser::ast::{
|
||||
Unaryop,
|
||||
};
|
||||
|
||||
use super::{
|
||||
use crate::{
|
||||
codegen::{
|
||||
classes::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ListType, ListValue, NDArrayValue, ProxyType,
|
||||
ProxyValue, RangeValue, TypedArrayLikeAccessor, UntypedArrayLikeAccessor,
|
||||
},
|
||||
concrete_type::{ConcreteFuncArg, ConcreteTypeEnum, ConcreteTypeStore},
|
||||
gen_in_range_check, get_llvm_abi_type, get_llvm_type, get_va_count_arg_name,
|
||||
irrt::*,
|
||||
@ -32,19 +37,12 @@ use super::{
|
||||
gen_for_callback_incrementing, gen_if_callback, gen_if_else_expr_callback, gen_raise,
|
||||
gen_var,
|
||||
},
|
||||
types::{ndarray::NDArrayType, ListType},
|
||||
values::{
|
||||
ndarray::{NDArrayValue, RustNDIndex},
|
||||
ArrayLikeIndexer, ArrayLikeValue, ListValue, ProxyValue, RangeValue,
|
||||
TypedArrayLikeAccessor, UntypedArrayLikeAccessor,
|
||||
},
|
||||
CodeGenContext, CodeGenTask, CodeGenerator,
|
||||
};
|
||||
use crate::{
|
||||
},
|
||||
symbol_resolver::{SymbolValue, ValueEnum},
|
||||
toplevel::{
|
||||
helper::{extract_ndims, PrimDef},
|
||||
numpy::unpack_ndarray_var_tys,
|
||||
helper::PrimDef,
|
||||
numpy::{make_ndarray_ty, unpack_ndarray_var_tys},
|
||||
DefinitionId, TopLevelDef,
|
||||
},
|
||||
typecheck::{
|
||||
@ -1113,7 +1111,7 @@ pub fn allocate_list<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|
||||
// List structure; type { ty*, size_t }
|
||||
let arr_ty = ListType::new(generator, ctx.ctx, llvm_elem_ty);
|
||||
let list = arr_ty.alloca(generator, ctx, name);
|
||||
let list = arr_ty.new_value(generator, ctx, name);
|
||||
|
||||
let length = ctx.builder.build_int_z_extend(length, llvm_usize, "").unwrap();
|
||||
list.store_size(ctx, generator, length);
|
||||
@ -1169,8 +1167,7 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
|
||||
TypeEnum::TObj { obj_id, .. }
|
||||
if *obj_id == ctx.primitives.range.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
let iter_val =
|
||||
RangeValue::from_pointer_value(iter_val.into_pointer_value(), Some("range"));
|
||||
let iter_val = RangeValue::from_ptr_val(iter_val.into_pointer_value(), Some("range"));
|
||||
let (start, stop, step) = destructure_range(ctx, iter_val);
|
||||
let diff = ctx.builder.build_int_sub(stop, start, "diff").unwrap();
|
||||
// add 1 to the length as the value is rounded to zero
|
||||
@ -1401,10 +1398,8 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty1);
|
||||
let sizeof_elem = llvm_elem_ty.size_of().unwrap();
|
||||
|
||||
let lhs =
|
||||
ListValue::from_pointer_value(left_val.into_pointer_value(), llvm_usize, None);
|
||||
let rhs =
|
||||
ListValue::from_pointer_value(right_val.into_pointer_value(), llvm_usize, None);
|
||||
let lhs = ListValue::from_ptr_val(left_val.into_pointer_value(), llvm_usize, None);
|
||||
let rhs = ListValue::from_ptr_val(right_val.into_pointer_value(), llvm_usize, None);
|
||||
|
||||
let size = ctx
|
||||
.builder
|
||||
@ -1487,7 +1482,7 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
codegen_unreachable!(ctx)
|
||||
};
|
||||
let list_val =
|
||||
ListValue::from_pointer_value(list_val.into_pointer_value(), llvm_usize, None);
|
||||
ListValue::from_ptr_val(list_val.into_pointer_value(), llvm_usize, None);
|
||||
let int_val = ctx
|
||||
.builder
|
||||
.build_int_s_extend(int_val.into_int_value(), llvm_usize, "")
|
||||
@ -1554,6 +1549,8 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
} else if ty1.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id())
|
||||
|| ty2.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id())
|
||||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let is_ndarray1 = ty1.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id());
|
||||
let is_ndarray2 = ty2.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id());
|
||||
|
||||
@ -1563,10 +1560,10 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
|
||||
assert!(ctx.unifier.unioned(ndarray_dtype1, ndarray_dtype2));
|
||||
|
||||
let left_val = NDArrayType::from_unifier_type(generator, ctx, ty1)
|
||||
.map_value(left_val.into_pointer_value(), None);
|
||||
let right_val = NDArrayType::from_unifier_type(generator, ctx, ty2)
|
||||
.map_value(right_val.into_pointer_value(), None);
|
||||
let left_val =
|
||||
NDArrayValue::from_ptr_val(left_val.into_pointer_value(), llvm_usize, None);
|
||||
let right_val =
|
||||
NDArrayValue::from_ptr_val(right_val.into_pointer_value(), llvm_usize, None);
|
||||
|
||||
let res = if op.base == Operator::MatMult {
|
||||
// MatMult is the only binop which is not an elementwise op
|
||||
@ -1590,8 +1587,8 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
BinopVariant::Normal => None,
|
||||
BinopVariant::AugAssign => Some(left_val),
|
||||
},
|
||||
(ty1, left_val.as_base_value().into(), false),
|
||||
(ty2, right_val.as_base_value().into(), false),
|
||||
(left_val.as_base_value().into(), false),
|
||||
(right_val.as_base_value().into(), false),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
gen_binop_expr_with_values(
|
||||
generator,
|
||||
@ -1615,10 +1612,9 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
} else {
|
||||
let (ndarray_dtype, _) =
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, if is_ndarray1 { ty1 } else { ty2 });
|
||||
let ndarray_val =
|
||||
NDArrayType::from_unifier_type(generator, ctx, if is_ndarray1 { ty1 } else { ty2 })
|
||||
.map_value(
|
||||
let ndarray_val = NDArrayValue::from_ptr_val(
|
||||
if is_ndarray1 { left_val } else { right_val }.into_pointer_value(),
|
||||
llvm_usize,
|
||||
None,
|
||||
);
|
||||
let res = numpy::ndarray_elementwise_binop_impl(
|
||||
@ -1629,8 +1625,8 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
BinopVariant::Normal => None,
|
||||
BinopVariant::AugAssign => Some(ndarray_val),
|
||||
},
|
||||
(ty1, left_val, !is_ndarray1),
|
||||
(ty2, right_val, !is_ndarray2),
|
||||
(left_val, !is_ndarray1),
|
||||
(right_val, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
gen_binop_expr_with_values(
|
||||
generator,
|
||||
@ -1781,12 +1777,7 @@ pub fn gen_unaryop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
ast::Unaryop::Invert => ctx.builder.build_not(val, "not").map(Into::into).unwrap(),
|
||||
ast::Unaryop::Not => ctx
|
||||
.builder
|
||||
.build_int_compare(
|
||||
inkwell::IntPredicate::EQ,
|
||||
val,
|
||||
val.get_type().const_zero(),
|
||||
"not",
|
||||
)
|
||||
.build_xor(val, val.get_type().const_all_ones(), "not")
|
||||
.map(Into::into)
|
||||
.unwrap(),
|
||||
ast::Unaryop::UAdd => val.into(),
|
||||
@ -1808,10 +1799,10 @@ pub fn gen_unaryop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
_ => val.into(),
|
||||
}
|
||||
} else if ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) {
|
||||
let llvm_ndarray_ty = NDArrayType::from_unifier_type(generator, ctx, ty);
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let (ndarray_dtype, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
|
||||
|
||||
let val = llvm_ndarray_ty.map_value(val.into_pointer_value(), None);
|
||||
let val = NDArrayValue::from_ptr_val(val.into_pointer_value(), llvm_usize, None);
|
||||
|
||||
// ndarray uses `~` rather than `not` to perform elementwise inversion, convert it before
|
||||
// passing it to the elementwise codegen function
|
||||
@ -1885,6 +1876,8 @@ pub fn gen_cmpop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
if left_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id())
|
||||
|| right_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id())
|
||||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let (Some(left_ty), lhs) = left else { codegen_unreachable!(ctx) };
|
||||
let (Some(right_ty), rhs) = comparators[0] else { codegen_unreachable!(ctx) };
|
||||
let op = ops[0];
|
||||
@ -1900,15 +1893,15 @@ pub fn gen_cmpop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
|
||||
assert!(ctx.unifier.unioned(ndarray_dtype1, ndarray_dtype2));
|
||||
|
||||
let left_val = NDArrayType::from_unifier_type(generator, ctx, left_ty)
|
||||
.map_value(lhs.into_pointer_value(), None);
|
||||
let left_val =
|
||||
NDArrayValue::from_ptr_val(lhs.into_pointer_value(), llvm_usize, None);
|
||||
let res = numpy::ndarray_elementwise_binop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ctx.primitives.bool,
|
||||
None,
|
||||
(left_ty, left_val.as_base_value().into(), false),
|
||||
(right_ty, rhs, false),
|
||||
(left_val.as_base_value().into(), false),
|
||||
(rhs, false),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
let val = gen_cmpop_expr_with_values(
|
||||
generator,
|
||||
@ -1939,8 +1932,8 @@ pub fn gen_cmpop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
ctx,
|
||||
ctx.primitives.bool,
|
||||
None,
|
||||
(left_ty, lhs, !is_ndarray1),
|
||||
(right_ty, rhs, !is_ndarray2),
|
||||
(lhs, !is_ndarray1),
|
||||
(rhs, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
let val = gen_cmpop_expr_with_values(
|
||||
generator,
|
||||
@ -2203,9 +2196,9 @@ pub fn gen_cmpop_expr_with_values<'ctx, G: CodeGenerator>(
|
||||
}
|
||||
|
||||
let left_val =
|
||||
ListValue::from_pointer_value(lhs.into_pointer_value(), llvm_usize, None);
|
||||
ListValue::from_ptr_val(lhs.into_pointer_value(), llvm_usize, None);
|
||||
let right_val =
|
||||
ListValue::from_pointer_value(rhs.into_pointer_value(), llvm_usize, None);
|
||||
ListValue::from_ptr_val(rhs.into_pointer_value(), llvm_usize, None);
|
||||
|
||||
Ok(gen_if_else_expr_callback(
|
||||
generator,
|
||||
@ -2522,7 +2515,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ty: Type,
|
||||
ndims_ty: Type,
|
||||
ndims: Type,
|
||||
v: NDArrayValue<'ctx>,
|
||||
slice: &Expr<Option<Type>>,
|
||||
) -> Result<Option<ValueEnum<'ctx>>, String> {
|
||||
@ -2530,7 +2523,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let TypeEnum::TLiteral { values, .. } = &*ctx.unifier.get_ty_immutable(ndims_ty) else {
|
||||
let TypeEnum::TLiteral { values, .. } = &*ctx.unifier.get_ty_immutable(ndims) else {
|
||||
codegen_unreachable!(ctx)
|
||||
};
|
||||
|
||||
@ -2563,6 +2556,14 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
_ => 1,
|
||||
};
|
||||
|
||||
let ndarray_ndims_ty = ctx.unifier.get_fresh_literal(
|
||||
ndims.iter().map(|v| SymbolValue::U64(v - subscripted_dims)).collect(),
|
||||
None,
|
||||
);
|
||||
let ndarray_ty =
|
||||
make_ndarray_ty(&mut ctx.unifier, &ctx.primitives, Some(ty), Some(ndarray_ndims_ty));
|
||||
let llvm_pndarray_t = ctx.get_llvm_type(generator, ndarray_ty).into_pointer_type();
|
||||
let llvm_ndarray_t = llvm_pndarray_t.get_element_type().into_struct_type();
|
||||
let llvm_ndarray_data_t = ctx.get_llvm_type(generator, ty).as_basic_type_enum();
|
||||
let sizeof_elem = llvm_ndarray_data_t.size_of().unwrap();
|
||||
|
||||
@ -2596,7 +2597,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
|
||||
let len = unsafe {
|
||||
v.shape().get_typed_unchecked(
|
||||
v.dim_sizes().get_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(dim, true),
|
||||
@ -2637,7 +2638,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
|
||||
ExprKind::Slice { lower, upper, step } => {
|
||||
let dim_sz = unsafe {
|
||||
v.shape().get_typed_unchecked(
|
||||
v.dim_sizes().get_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(dim, false),
|
||||
@ -2754,15 +2755,26 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
|
||||
_ => {
|
||||
// Accessing an element from a multi-dimensional `ndarray`
|
||||
let Some(index_addr) = make_indices_arr(generator, ctx)? else { return Ok(None) };
|
||||
|
||||
let num_dims = extract_ndims(&ctx.unifier, ndims_ty) - 1;
|
||||
let Some(index_addr) = make_indices_arr(generator, ctx)? else { return Ok(None) };
|
||||
|
||||
// Create a new array, remove the top dimension from the dimension-size-list, and copy the
|
||||
// elements over
|
||||
let ndarray =
|
||||
NDArrayType::new(generator, ctx.ctx, llvm_ndarray_data_t, Some(num_dims))
|
||||
.construct_uninitialized(generator, ctx, None);
|
||||
let subscripted_ndarray =
|
||||
generator.gen_var_alloc(ctx, llvm_ndarray_t.into(), None)?;
|
||||
let ndarray = NDArrayValue::from_ptr_val(subscripted_ndarray, llvm_usize, None);
|
||||
|
||||
let num_dims = v.load_ndims(ctx);
|
||||
ndarray.store_ndims(
|
||||
ctx,
|
||||
generator,
|
||||
ctx.builder
|
||||
.build_int_sub(num_dims, llvm_usize.const_int(1, false), "")
|
||||
.unwrap(),
|
||||
);
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
|
||||
|
||||
let ndarray_num_dims = ctx
|
||||
.builder
|
||||
@ -2773,7 +2785,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
)
|
||||
.unwrap();
|
||||
let v_dims_src_ptr = unsafe {
|
||||
v.shape().ptr_offset_unchecked(
|
||||
v.dim_sizes().ptr_offset_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(1, false),
|
||||
@ -2782,7 +2794,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
};
|
||||
call_memcpy_generic(
|
||||
ctx,
|
||||
ndarray.shape().base_ptr(ctx, generator),
|
||||
ndarray.dim_sizes().base_ptr(ctx, generator),
|
||||
v_dims_src_ptr,
|
||||
ctx.builder
|
||||
.build_int_mul(ndarray_num_dims, llvm_usize.size_of(), "")
|
||||
@ -2791,17 +2803,17 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
|
||||
llvm_i1.const_zero(),
|
||||
);
|
||||
|
||||
let ndarray_num_elems = ndarray::call_ndarray_calc_size(
|
||||
let ndarray_num_elems = call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&ndarray.shape().as_slice_value(ctx, generator),
|
||||
&ndarray.dim_sizes().as_slice_value(ctx, generator),
|
||||
(None, None),
|
||||
);
|
||||
let ndarray_num_elems = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(ndarray_num_elems, sizeof_elem.get_type(), "")
|
||||
.unwrap();
|
||||
unsafe { ndarray.create_data(generator, ctx) };
|
||||
ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
|
||||
|
||||
let v_data_src_ptr = v.data().ptr_offset(ctx, generator, &index_addr, None);
|
||||
call_memcpy_generic(
|
||||
@ -2874,31 +2886,7 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
|
||||
Some((_, Some(static_value), _)) => ValueEnum::Static(static_value.clone()),
|
||||
None => {
|
||||
let resolver = ctx.resolver.clone();
|
||||
let value = resolver.get_symbol_value(*id, ctx, generator).unwrap();
|
||||
|
||||
let globals = ctx
|
||||
.top_level
|
||||
.definitions
|
||||
.read()
|
||||
.iter()
|
||||
.filter_map(|def| {
|
||||
if let TopLevelDef::Variable { simple_name, ty, .. } = &*def.read() {
|
||||
Some((*simple_name, *ty))
|
||||
} else {
|
||||
None
|
||||
}
|
||||
})
|
||||
.collect_vec();
|
||||
|
||||
if let Some((_, ty)) = globals.iter().find(|(name, _)| name == id) {
|
||||
let ptr = value
|
||||
.to_basic_value_enum(ctx, generator, *ty)
|
||||
.map(BasicValueEnum::into_pointer_value)?;
|
||||
|
||||
ctx.builder.build_load(ptr, id.to_string().as_str()).map(Into::into).unwrap()
|
||||
} else {
|
||||
value
|
||||
}
|
||||
resolver.get_symbol_value(*id, ctx, generator).unwrap()
|
||||
}
|
||||
},
|
||||
ExprKind::List { elts, .. } => {
|
||||
@ -3091,53 +3079,48 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
|
||||
};
|
||||
let left = generator.bool_to_i1(ctx, left);
|
||||
let current = ctx.builder.get_insert_block().unwrap().get_parent().unwrap();
|
||||
let a_begin_bb = ctx.ctx.append_basic_block(current, "a_begin");
|
||||
let a_end_bb = ctx.ctx.append_basic_block(current, "a_end");
|
||||
let b_begin_bb = ctx.ctx.append_basic_block(current, "b_begin");
|
||||
let b_end_bb = ctx.ctx.append_basic_block(current, "b_end");
|
||||
let a_bb = ctx.ctx.append_basic_block(current, "a");
|
||||
let b_bb = ctx.ctx.append_basic_block(current, "b");
|
||||
let cont_bb = ctx.ctx.append_basic_block(current, "cont");
|
||||
ctx.builder.build_conditional_branch(left, a_begin_bb, b_begin_bb).unwrap();
|
||||
|
||||
ctx.builder.position_at_end(a_end_bb);
|
||||
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
|
||||
ctx.builder.position_at_end(b_end_bb);
|
||||
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
|
||||
ctx.builder.build_conditional_branch(left, a_bb, b_bb).unwrap();
|
||||
let (a, b) = match op {
|
||||
Boolop::Or => {
|
||||
ctx.builder.position_at_end(a_begin_bb);
|
||||
ctx.builder.position_at_end(a_bb);
|
||||
let a = ctx.ctx.i8_type().const_int(1, false);
|
||||
ctx.builder.build_unconditional_branch(a_end_bb).unwrap();
|
||||
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
|
||||
|
||||
ctx.builder.position_at_end(b_begin_bb);
|
||||
ctx.builder.position_at_end(b_bb);
|
||||
let b = if let Some(v) = generator.gen_expr(ctx, &values[1])? {
|
||||
let b = v
|
||||
.to_basic_value_enum(ctx, generator, values[1].custom.unwrap())?
|
||||
.into_int_value();
|
||||
let b = generator.bool_to_i8(ctx, b);
|
||||
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
|
||||
|
||||
Some(b)
|
||||
} else {
|
||||
None
|
||||
};
|
||||
ctx.builder.build_unconditional_branch(b_end_bb).unwrap();
|
||||
|
||||
(Some(a), b)
|
||||
}
|
||||
Boolop::And => {
|
||||
ctx.builder.position_at_end(a_begin_bb);
|
||||
ctx.builder.position_at_end(a_bb);
|
||||
let a = if let Some(v) = generator.gen_expr(ctx, &values[1])? {
|
||||
let a = v
|
||||
.to_basic_value_enum(ctx, generator, values[1].custom.unwrap())?
|
||||
.into_int_value();
|
||||
let a = generator.bool_to_i8(ctx, a);
|
||||
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
|
||||
|
||||
Some(a)
|
||||
} else {
|
||||
None
|
||||
};
|
||||
ctx.builder.build_unconditional_branch(a_end_bb).unwrap();
|
||||
|
||||
ctx.builder.position_at_end(b_begin_bb);
|
||||
ctx.builder.position_at_end(b_bb);
|
||||
let b = ctx.ctx.i8_type().const_zero();
|
||||
ctx.builder.build_unconditional_branch(b_end_bb).unwrap();
|
||||
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
|
||||
|
||||
(a, Some(b))
|
||||
}
|
||||
@ -3147,7 +3130,7 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
|
||||
match (a, b) {
|
||||
(Some(a), Some(b)) => {
|
||||
let phi = ctx.builder.build_phi(ctx.ctx.i8_type(), "").unwrap();
|
||||
phi.add_incoming(&[(&a, a_end_bb), (&b, b_end_bb)]);
|
||||
phi.add_incoming(&[(&a, a_bb), (&b, b_bb)]);
|
||||
phi.as_basic_value().into()
|
||||
}
|
||||
(Some(a), None) => a.into(),
|
||||
@ -3385,7 +3368,7 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
|
||||
} else {
|
||||
return Ok(None);
|
||||
};
|
||||
let v = ListValue::from_pointer_value(v, usize, Some("arr"));
|
||||
let v = ListValue::from_ptr_val(v, usize, Some("arr"));
|
||||
let ty = ctx.get_llvm_type(generator, *ty);
|
||||
if let ExprKind::Slice { lower, upper, step } = &slice.node {
|
||||
let one = int32.const_int(1, false);
|
||||
@ -3486,22 +3469,18 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
|
||||
v.data().get(ctx, generator, &index, None).into()
|
||||
}
|
||||
}
|
||||
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
|
||||
let Some(ndarray) = generator.gen_expr(ctx, value)? else {
|
||||
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::NDArray.id() => {
|
||||
let (ty, ndims) = params.iter().map(|(_, ty)| ty).collect_tuple().unwrap();
|
||||
|
||||
let v = if let Some(v) = generator.gen_expr(ctx, value)? {
|
||||
v.to_basic_value_enum(ctx, generator, value.custom.unwrap())?
|
||||
.into_pointer_value()
|
||||
} else {
|
||||
return Ok(None);
|
||||
};
|
||||
let v = NDArrayValue::from_ptr_val(v, usize, None);
|
||||
|
||||
let ndarray_ty = value.custom.unwrap();
|
||||
let ndarray = ndarray.to_basic_value_enum(ctx, generator, ndarray_ty)?;
|
||||
let ndarray = NDArrayType::from_unifier_type(generator, ctx, ndarray_ty)
|
||||
.map_value(ndarray.into_pointer_value(), None);
|
||||
|
||||
let indices = RustNDIndex::from_subscript_expr(generator, ctx, slice)?;
|
||||
let result = ndarray
|
||||
.index(generator, ctx, &indices)
|
||||
.split_unsized(generator, ctx)
|
||||
.to_basic_value_enum();
|
||||
return Ok(Some(ValueEnum::Dynamic(result)));
|
||||
return gen_ndarray_subscript_expr(generator, ctx, *ty, *ndims, v, slice);
|
||||
}
|
||||
TypeEnum::TTuple { .. } => {
|
||||
let index: u32 =
|
||||
@ -3550,97 +3529,3 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
|
||||
_ => unimplemented!(),
|
||||
}))
|
||||
}
|
||||
|
||||
/// Creates a function in the current module and inserts a `call` instruction into the LLVM IR.
|
||||
#[allow(clippy::too_many_arguments)]
|
||||
pub fn create_fn_and_call<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
fn_name: &str,
|
||||
ret_type: Option<BasicTypeEnum<'ctx>>,
|
||||
params: &[BasicTypeEnum<'ctx>],
|
||||
args: &[BasicValueEnum<'ctx>],
|
||||
is_var_args: bool,
|
||||
call_value_name: Option<&str>,
|
||||
configure: Option<&dyn Fn(&FunctionValue<'ctx>)>,
|
||||
) -> Option<BasicValueEnum<'ctx>> {
|
||||
let intrinsic_fn = ctx.module.get_function(fn_name).unwrap_or_else(|| {
|
||||
let params = params.iter().copied().map(BasicTypeEnum::into).collect_vec();
|
||||
let fn_type = if let Some(ret_type) = ret_type {
|
||||
ret_type.fn_type(params.as_slice(), is_var_args)
|
||||
} else {
|
||||
ctx.ctx.void_type().fn_type(params.as_slice(), is_var_args)
|
||||
};
|
||||
|
||||
ctx.module.add_function(fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
if let Some(configure) = configure {
|
||||
configure(&intrinsic_fn);
|
||||
}
|
||||
|
||||
let args = args.iter().copied().map(BasicValueEnum::into).collect_vec();
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, args.as_slice(), call_value_name.unwrap_or_default())
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(Either::left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Creates a function in the current module and inserts a `call` instruction into the LLVM IR.
|
||||
///
|
||||
/// This is a wrapper around [`create_fn_and_call`] for non-vararg function. This function allows
|
||||
/// parameters and arguments to be specified as tuples to better indicate the expected type and
|
||||
/// actual value of each parameter-argument pair of the call.
|
||||
pub fn create_and_call_function<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
fn_name: &str,
|
||||
ret_type: Option<BasicTypeEnum<'ctx>>,
|
||||
params: &[(BasicTypeEnum<'ctx>, BasicValueEnum<'ctx>)],
|
||||
value_name: Option<&str>,
|
||||
configure: Option<&dyn Fn(&FunctionValue<'ctx>)>,
|
||||
) -> Option<BasicValueEnum<'ctx>> {
|
||||
let param_tys = params.iter().map(|(ty, _)| ty).copied().map(BasicTypeEnum::into).collect_vec();
|
||||
let arg_values =
|
||||
params.iter().map(|(_, value)| value).copied().map(BasicValueEnum::into).collect_vec();
|
||||
|
||||
create_fn_and_call(
|
||||
ctx,
|
||||
fn_name,
|
||||
ret_type,
|
||||
param_tys.as_slice(),
|
||||
arg_values.as_slice(),
|
||||
false,
|
||||
value_name,
|
||||
configure,
|
||||
)
|
||||
}
|
||||
|
||||
/// Creates a function in the current module and inserts a `call` instruction into the LLVM IR.
|
||||
///
|
||||
/// This is a wrapper around [`create_fn_and_call`] for non-vararg function. This function allows
|
||||
/// only arguments to be specified and performs inference for the parameter types of the function
|
||||
/// using [`BasicValueEnum::get_type`] on the arguments.
|
||||
///
|
||||
/// This function is recommended if it is known that all function arguments match the parameter
|
||||
/// types of the invoked function.
|
||||
pub fn infer_and_call_function<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
fn_name: &str,
|
||||
ret_type: Option<BasicTypeEnum<'ctx>>,
|
||||
args: &[BasicValueEnum<'ctx>],
|
||||
value_name: Option<&str>,
|
||||
configure: Option<&dyn Fn(&FunctionValue<'ctx>)>,
|
||||
) -> Option<BasicValueEnum<'ctx>> {
|
||||
let param_tys = args.iter().map(BasicValueEnum::get_type).collect_vec();
|
||||
|
||||
create_fn_and_call(
|
||||
ctx,
|
||||
fn_name,
|
||||
ret_type,
|
||||
param_tys.as_slice(),
|
||||
args,
|
||||
false,
|
||||
value_name,
|
||||
configure,
|
||||
)
|
||||
}
|
||||
|
||||
@ -4,7 +4,7 @@ use inkwell::{
|
||||
};
|
||||
use itertools::Either;
|
||||
|
||||
use super::CodeGenContext;
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
/// Macro to generate extern function
|
||||
/// Both function return type and function parameter type are `FloatValue`
|
||||
|
||||
@ -6,8 +6,8 @@ use inkwell::{
|
||||
|
||||
use nac3parser::ast::{Expr, Stmt, StrRef};
|
||||
|
||||
use super::{bool_to_i1, bool_to_i8, expr::*, stmt::*, values::ArraySliceValue, CodeGenContext};
|
||||
use crate::{
|
||||
codegen::{bool_to_i1, bool_to_i8, classes::ArraySliceValue, expr::*, stmt::*, CodeGenContext},
|
||||
symbol_resolver::ValueEnum,
|
||||
toplevel::{DefinitionId, TopLevelDef},
|
||||
typecheck::typedef::{FunSignature, Type},
|
||||
|
||||
@ -1,162 +0,0 @@
|
||||
use inkwell::{
|
||||
types::BasicTypeEnum,
|
||||
values::{BasicValueEnum, CallSiteValue, IntValue},
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
use itertools::Either;
|
||||
|
||||
use super::calculate_len_for_slice_range;
|
||||
use crate::codegen::{
|
||||
macros::codegen_unreachable,
|
||||
values::{ArrayLikeValue, ListValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// This function handles 'end' **inclusively**.
|
||||
/// Order of tuples `assign_idx` and `value_idx` is ('start', 'end', 'step').
|
||||
/// Negative index should be handled before entering this function
|
||||
pub fn list_slice_assignment<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ty: BasicTypeEnum<'ctx>,
|
||||
dest_arr: ListValue<'ctx>,
|
||||
dest_idx: (IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>),
|
||||
src_arr: ListValue<'ctx>,
|
||||
src_idx: (IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>),
|
||||
) {
|
||||
let size_ty = generator.get_size_type(ctx.ctx);
|
||||
let int8_ptr = ctx.ctx.i8_type().ptr_type(AddressSpace::default());
|
||||
let int32 = ctx.ctx.i32_type();
|
||||
let (fun_symbol, elem_ptr_type) = ("__nac3_list_slice_assign_var_size", int8_ptr);
|
||||
let slice_assign_fun = {
|
||||
let ty_vec = vec![
|
||||
int32.into(), // dest start idx
|
||||
int32.into(), // dest end idx
|
||||
int32.into(), // dest step
|
||||
elem_ptr_type.into(), // dest arr ptr
|
||||
int32.into(), // dest arr len
|
||||
int32.into(), // src start idx
|
||||
int32.into(), // src end idx
|
||||
int32.into(), // src step
|
||||
elem_ptr_type.into(), // src arr ptr
|
||||
int32.into(), // src arr len
|
||||
int32.into(), // size
|
||||
];
|
||||
ctx.module.get_function(fun_symbol).unwrap_or_else(|| {
|
||||
let fn_t = int32.fn_type(ty_vec.as_slice(), false);
|
||||
ctx.module.add_function(fun_symbol, fn_t, None)
|
||||
})
|
||||
};
|
||||
|
||||
let zero = int32.const_zero();
|
||||
let one = int32.const_int(1, false);
|
||||
let dest_arr_ptr = dest_arr.data().base_ptr(ctx, generator);
|
||||
let dest_arr_ptr =
|
||||
ctx.builder.build_pointer_cast(dest_arr_ptr, elem_ptr_type, "dest_arr_ptr_cast").unwrap();
|
||||
let dest_len = dest_arr.load_size(ctx, Some("dest.len"));
|
||||
let dest_len = ctx.builder.build_int_truncate_or_bit_cast(dest_len, int32, "srclen32").unwrap();
|
||||
let src_arr_ptr = src_arr.data().base_ptr(ctx, generator);
|
||||
let src_arr_ptr =
|
||||
ctx.builder.build_pointer_cast(src_arr_ptr, elem_ptr_type, "src_arr_ptr_cast").unwrap();
|
||||
let src_len = src_arr.load_size(ctx, Some("src.len"));
|
||||
let src_len = ctx.builder.build_int_truncate_or_bit_cast(src_len, int32, "srclen32").unwrap();
|
||||
|
||||
// index in bound and positive should be done
|
||||
// assert if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest), and
|
||||
// throw exception if not satisfied
|
||||
let src_end = ctx
|
||||
.builder
|
||||
.build_select(
|
||||
ctx.builder.build_int_compare(IntPredicate::SLT, src_idx.2, zero, "is_neg").unwrap(),
|
||||
ctx.builder.build_int_sub(src_idx.1, one, "e_min_one").unwrap(),
|
||||
ctx.builder.build_int_add(src_idx.1, one, "e_add_one").unwrap(),
|
||||
"final_e",
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap();
|
||||
let dest_end = ctx
|
||||
.builder
|
||||
.build_select(
|
||||
ctx.builder.build_int_compare(IntPredicate::SLT, dest_idx.2, zero, "is_neg").unwrap(),
|
||||
ctx.builder.build_int_sub(dest_idx.1, one, "e_min_one").unwrap(),
|
||||
ctx.builder.build_int_add(dest_idx.1, one, "e_add_one").unwrap(),
|
||||
"final_e",
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap();
|
||||
let src_slice_len =
|
||||
calculate_len_for_slice_range(generator, ctx, src_idx.0, src_end, src_idx.2);
|
||||
let dest_slice_len =
|
||||
calculate_len_for_slice_range(generator, ctx, dest_idx.0, dest_end, dest_idx.2);
|
||||
let src_eq_dest = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, src_slice_len, dest_slice_len, "slice_src_eq_dest")
|
||||
.unwrap();
|
||||
let src_slt_dest = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::SLT, src_slice_len, dest_slice_len, "slice_src_slt_dest")
|
||||
.unwrap();
|
||||
let dest_step_eq_one = ctx
|
||||
.builder
|
||||
.build_int_compare(
|
||||
IntPredicate::EQ,
|
||||
dest_idx.2,
|
||||
dest_idx.2.get_type().const_int(1, false),
|
||||
"slice_dest_step_eq_one",
|
||||
)
|
||||
.unwrap();
|
||||
let cond_1 = ctx.builder.build_and(dest_step_eq_one, src_slt_dest, "slice_cond_1").unwrap();
|
||||
let cond = ctx.builder.build_or(src_eq_dest, cond_1, "slice_cond").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
cond,
|
||||
"0:ValueError",
|
||||
"attempt to assign sequence of size {0} to slice of size {1} with step size {2}",
|
||||
[Some(src_slice_len), Some(dest_slice_len), Some(dest_idx.2)],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
let new_len = {
|
||||
let args = vec![
|
||||
dest_idx.0.into(), // dest start idx
|
||||
dest_idx.1.into(), // dest end idx
|
||||
dest_idx.2.into(), // dest step
|
||||
dest_arr_ptr.into(), // dest arr ptr
|
||||
dest_len.into(), // dest arr len
|
||||
src_idx.0.into(), // src start idx
|
||||
src_idx.1.into(), // src end idx
|
||||
src_idx.2.into(), // src step
|
||||
src_arr_ptr.into(), // src arr ptr
|
||||
src_len.into(), // src arr len
|
||||
{
|
||||
let s = match ty {
|
||||
BasicTypeEnum::FloatType(t) => t.size_of(),
|
||||
BasicTypeEnum::IntType(t) => t.size_of(),
|
||||
BasicTypeEnum::PointerType(t) => t.size_of(),
|
||||
BasicTypeEnum::StructType(t) => t.size_of().unwrap(),
|
||||
_ => codegen_unreachable!(ctx),
|
||||
};
|
||||
ctx.builder.build_int_truncate_or_bit_cast(s, int32, "size").unwrap()
|
||||
}
|
||||
.into(),
|
||||
];
|
||||
ctx.builder
|
||||
.build_call(slice_assign_fun, args.as_slice(), "slice_assign")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
};
|
||||
// update length
|
||||
let need_update =
|
||||
ctx.builder.build_int_compare(IntPredicate::NE, new_len, dest_len, "need_update").unwrap();
|
||||
let current = ctx.builder.get_insert_block().unwrap().get_parent().unwrap();
|
||||
let update_bb = ctx.ctx.append_basic_block(current, "update");
|
||||
let cont_bb = ctx.ctx.append_basic_block(current, "cont");
|
||||
ctx.builder.build_conditional_branch(need_update, update_bb, cont_bb).unwrap();
|
||||
ctx.builder.position_at_end(update_bb);
|
||||
let new_len = ctx.builder.build_int_z_extend_or_bit_cast(new_len, size_ty, "new_len").unwrap();
|
||||
dest_arr.store_size(ctx, generator, new_len);
|
||||
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
|
||||
ctx.builder.position_at_end(cont_bb);
|
||||
}
|
||||
@ -1,152 +0,0 @@
|
||||
use inkwell::{
|
||||
values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue},
|
||||
IntPredicate,
|
||||
};
|
||||
use itertools::Either;
|
||||
|
||||
use crate::codegen::{
|
||||
macros::codegen_unreachable,
|
||||
{CodeGenContext, CodeGenerator},
|
||||
};
|
||||
|
||||
// repeated squaring method adapted from GNU Scientific Library:
|
||||
// https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
|
||||
pub fn integer_power<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
base: IntValue<'ctx>,
|
||||
exp: IntValue<'ctx>,
|
||||
signed: bool,
|
||||
) -> IntValue<'ctx> {
|
||||
let symbol = match (base.get_type().get_bit_width(), exp.get_type().get_bit_width(), signed) {
|
||||
(32, 32, true) => "__nac3_int_exp_int32_t",
|
||||
(64, 64, true) => "__nac3_int_exp_int64_t",
|
||||
(32, 32, false) => "__nac3_int_exp_uint32_t",
|
||||
(64, 64, false) => "__nac3_int_exp_uint64_t",
|
||||
_ => codegen_unreachable!(ctx),
|
||||
};
|
||||
let base_type = base.get_type();
|
||||
let pow_fun = ctx.module.get_function(symbol).unwrap_or_else(|| {
|
||||
let fn_type = base_type.fn_type(&[base_type.into(), base_type.into()], false);
|
||||
ctx.module.add_function(symbol, fn_type, None)
|
||||
});
|
||||
// throw exception when exp < 0
|
||||
let ge_zero = ctx
|
||||
.builder
|
||||
.build_int_compare(
|
||||
IntPredicate::SGE,
|
||||
exp,
|
||||
exp.get_type().const_zero(),
|
||||
"assert_int_pow_ge_0",
|
||||
)
|
||||
.unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
ge_zero,
|
||||
"0:ValueError",
|
||||
"integer power must be positive or zero",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
ctx.builder
|
||||
.build_call(pow_fun, &[base.into(), exp.into()], "call_int_pow")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `isinf` in IR. Returns an `i1` representing the result.
|
||||
pub fn call_isinf<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
v: FloatValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_isinf").unwrap_or_else(|| {
|
||||
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
|
||||
ctx.module.add_function("__nac3_isinf", fn_type, None)
|
||||
});
|
||||
|
||||
let ret = ctx
|
||||
.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "isinf")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap();
|
||||
|
||||
generator.bool_to_i1(ctx, ret)
|
||||
}
|
||||
|
||||
/// Generates a call to `isnan` in IR. Returns an `i1` representing the result.
|
||||
pub fn call_isnan<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
v: FloatValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_isnan").unwrap_or_else(|| {
|
||||
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
|
||||
ctx.module.add_function("__nac3_isnan", fn_type, None)
|
||||
});
|
||||
|
||||
let ret = ctx
|
||||
.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "isnan")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap();
|
||||
|
||||
generator.bool_to_i1(ctx, ret)
|
||||
}
|
||||
|
||||
/// Generates a call to `gamma` in IR. Returns an `f64` representing the result.
|
||||
pub fn call_gamma<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_gamma").unwrap_or_else(|| {
|
||||
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
|
||||
ctx.module.add_function("__nac3_gamma", fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "gamma")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_float_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `gammaln` in IR. Returns an `f64` representing the result.
|
||||
pub fn call_gammaln<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_gammaln").unwrap_or_else(|| {
|
||||
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
|
||||
ctx.module.add_function("__nac3_gammaln", fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "gammaln")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_float_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `j0` in IR. Returns an `f64` representing the result.
|
||||
pub fn call_j0<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_j0").unwrap_or_else(|| {
|
||||
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
|
||||
ctx.module.add_function("__nac3_j0", fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "j0")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_float_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
@ -3,24 +3,28 @@ use inkwell::{
|
||||
context::Context,
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::Module,
|
||||
values::{BasicValue, BasicValueEnum, IntValue},
|
||||
IntPredicate,
|
||||
types::{BasicTypeEnum, IntType},
|
||||
values::{BasicValue, BasicValueEnum, CallSiteValue, FloatValue, IntValue},
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
use itertools::Either;
|
||||
|
||||
use nac3parser::ast::Expr;
|
||||
|
||||
use super::{CodeGenContext, CodeGenerator};
|
||||
use super::{
|
||||
classes::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue,
|
||||
TypedArrayLikeAccessor, TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
|
||||
},
|
||||
llvm_intrinsics,
|
||||
macros::codegen_unreachable,
|
||||
model::*,
|
||||
object::ndarray::{nditer::NDIter, NDArray},
|
||||
stmt::gen_for_callback_incrementing,
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
use crate::{symbol_resolver::SymbolResolver, typecheck::typedef::Type};
|
||||
pub use list::*;
|
||||
pub use math::*;
|
||||
pub use range::*;
|
||||
pub use slice::*;
|
||||
|
||||
mod list;
|
||||
mod math;
|
||||
pub mod ndarray;
|
||||
mod range;
|
||||
mod slice;
|
||||
use function::FnCall;
|
||||
|
||||
#[must_use]
|
||||
pub fn load_irrt<'ctx>(ctx: &'ctx Context, symbol_resolver: &dyn SymbolResolver) -> Module<'ctx> {
|
||||
@ -61,25 +65,86 @@ pub fn load_irrt<'ctx>(ctx: &'ctx Context, symbol_resolver: &dyn SymbolResolver)
|
||||
irrt_mod
|
||||
}
|
||||
|
||||
/// Returns the name of a function which contains variants for 32-bit and 64-bit `size_t`.
|
||||
///
|
||||
/// - When [`TypeContext::size_type`] is 32-bits, the function name is `fn_name}`.
|
||||
/// - When [`TypeContext::size_type`] is 64-bits, the function name is `{fn_name}64`.
|
||||
#[must_use]
|
||||
pub fn get_usize_dependent_function_name<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'_, '_>,
|
||||
name: &str,
|
||||
) -> String {
|
||||
let mut name = name.to_owned();
|
||||
match generator.get_size_type(ctx.ctx).get_bit_width() {
|
||||
32 => {}
|
||||
64 => name.push_str("64"),
|
||||
bit_width => {
|
||||
panic!("Unsupported int type bit width {bit_width}, must be either 32-bits or 64-bits")
|
||||
// repeated squaring method adapted from GNU Scientific Library:
|
||||
// https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
|
||||
pub fn integer_power<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
base: IntValue<'ctx>,
|
||||
exp: IntValue<'ctx>,
|
||||
signed: bool,
|
||||
) -> IntValue<'ctx> {
|
||||
let symbol = match (base.get_type().get_bit_width(), exp.get_type().get_bit_width(), signed) {
|
||||
(32, 32, true) => "__nac3_int_exp_int32_t",
|
||||
(64, 64, true) => "__nac3_int_exp_int64_t",
|
||||
(32, 32, false) => "__nac3_int_exp_uint32_t",
|
||||
(64, 64, false) => "__nac3_int_exp_uint64_t",
|
||||
_ => codegen_unreachable!(ctx),
|
||||
};
|
||||
let base_type = base.get_type();
|
||||
let pow_fun = ctx.module.get_function(symbol).unwrap_or_else(|| {
|
||||
let fn_type = base_type.fn_type(&[base_type.into(), base_type.into()], false);
|
||||
ctx.module.add_function(symbol, fn_type, None)
|
||||
});
|
||||
// throw exception when exp < 0
|
||||
let ge_zero = ctx
|
||||
.builder
|
||||
.build_int_compare(
|
||||
IntPredicate::SGE,
|
||||
exp,
|
||||
exp.get_type().const_zero(),
|
||||
"assert_int_pow_ge_0",
|
||||
)
|
||||
.unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
ge_zero,
|
||||
"0:ValueError",
|
||||
"integer power must be positive or zero",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
ctx.builder
|
||||
.build_call(pow_fun, &[base.into(), exp.into()], "call_int_pow")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
name
|
||||
|
||||
pub fn calculate_len_for_slice_range<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
start: IntValue<'ctx>,
|
||||
end: IntValue<'ctx>,
|
||||
step: IntValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
const SYMBOL: &str = "__nac3_range_slice_len";
|
||||
let len_func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
|
||||
let i32_t = ctx.ctx.i32_type();
|
||||
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into(), i32_t.into()], false);
|
||||
ctx.module.add_function(SYMBOL, fn_t, None)
|
||||
});
|
||||
|
||||
// assert step != 0, throw exception if not
|
||||
let not_zero = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::NE, step, step.get_type().const_zero(), "range_step_ne")
|
||||
.unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
not_zero,
|
||||
"0:ValueError",
|
||||
"step must not be zero",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
ctx.builder
|
||||
.build_call(len_func, &[start.into(), end.into(), step.into()], "calc_len")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// NOTE: the output value of the end index of this function should be compared ***inclusively***,
|
||||
@ -247,3 +312,804 @@ pub fn handle_slice_indices<'ctx, G: CodeGenerator>(
|
||||
}
|
||||
}))
|
||||
}
|
||||
|
||||
/// this function allows index out of range, since python
|
||||
/// allows index out of range in slice (`a = [1,2,3]; a[1:10] == [2,3]`).
|
||||
pub fn handle_slice_index_bound<'ctx, G: CodeGenerator>(
|
||||
i: &Expr<Option<Type>>,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
length: IntValue<'ctx>,
|
||||
) -> Result<Option<IntValue<'ctx>>, String> {
|
||||
const SYMBOL: &str = "__nac3_slice_index_bound";
|
||||
let func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
|
||||
let i32_t = ctx.ctx.i32_type();
|
||||
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into()], false);
|
||||
ctx.module.add_function(SYMBOL, fn_t, None)
|
||||
});
|
||||
|
||||
let i = if let Some(v) = generator.gen_expr(ctx, i)? {
|
||||
v.to_basic_value_enum(ctx, generator, i.custom.unwrap())?
|
||||
} else {
|
||||
return Ok(None);
|
||||
};
|
||||
Ok(Some(
|
||||
ctx.builder
|
||||
.build_call(func, &[i.into(), length.into()], "bounded_ind")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap(),
|
||||
))
|
||||
}
|
||||
|
||||
/// This function handles 'end' **inclusively**.
|
||||
/// Order of tuples `assign_idx` and `value_idx` is ('start', 'end', 'step').
|
||||
/// Negative index should be handled before entering this function
|
||||
pub fn list_slice_assignment<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ty: BasicTypeEnum<'ctx>,
|
||||
dest_arr: ListValue<'ctx>,
|
||||
dest_idx: (IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>),
|
||||
src_arr: ListValue<'ctx>,
|
||||
src_idx: (IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>),
|
||||
) {
|
||||
let size_ty = generator.get_size_type(ctx.ctx);
|
||||
let int8_ptr = ctx.ctx.i8_type().ptr_type(AddressSpace::default());
|
||||
let int32 = ctx.ctx.i32_type();
|
||||
let (fun_symbol, elem_ptr_type) = ("__nac3_list_slice_assign_var_size", int8_ptr);
|
||||
let slice_assign_fun = {
|
||||
let ty_vec = vec![
|
||||
int32.into(), // dest start idx
|
||||
int32.into(), // dest end idx
|
||||
int32.into(), // dest step
|
||||
elem_ptr_type.into(), // dest arr ptr
|
||||
int32.into(), // dest arr len
|
||||
int32.into(), // src start idx
|
||||
int32.into(), // src end idx
|
||||
int32.into(), // src step
|
||||
elem_ptr_type.into(), // src arr ptr
|
||||
int32.into(), // src arr len
|
||||
int32.into(), // size
|
||||
];
|
||||
ctx.module.get_function(fun_symbol).unwrap_or_else(|| {
|
||||
let fn_t = int32.fn_type(ty_vec.as_slice(), false);
|
||||
ctx.module.add_function(fun_symbol, fn_t, None)
|
||||
})
|
||||
};
|
||||
|
||||
let zero = int32.const_zero();
|
||||
let one = int32.const_int(1, false);
|
||||
let dest_arr_ptr = dest_arr.data().base_ptr(ctx, generator);
|
||||
let dest_arr_ptr =
|
||||
ctx.builder.build_pointer_cast(dest_arr_ptr, elem_ptr_type, "dest_arr_ptr_cast").unwrap();
|
||||
let dest_len = dest_arr.load_size(ctx, Some("dest.len"));
|
||||
let dest_len = ctx.builder.build_int_truncate_or_bit_cast(dest_len, int32, "srclen32").unwrap();
|
||||
let src_arr_ptr = src_arr.data().base_ptr(ctx, generator);
|
||||
let src_arr_ptr =
|
||||
ctx.builder.build_pointer_cast(src_arr_ptr, elem_ptr_type, "src_arr_ptr_cast").unwrap();
|
||||
let src_len = src_arr.load_size(ctx, Some("src.len"));
|
||||
let src_len = ctx.builder.build_int_truncate_or_bit_cast(src_len, int32, "srclen32").unwrap();
|
||||
|
||||
// index in bound and positive should be done
|
||||
// assert if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest), and
|
||||
// throw exception if not satisfied
|
||||
let src_end = ctx
|
||||
.builder
|
||||
.build_select(
|
||||
ctx.builder.build_int_compare(IntPredicate::SLT, src_idx.2, zero, "is_neg").unwrap(),
|
||||
ctx.builder.build_int_sub(src_idx.1, one, "e_min_one").unwrap(),
|
||||
ctx.builder.build_int_add(src_idx.1, one, "e_add_one").unwrap(),
|
||||
"final_e",
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap();
|
||||
let dest_end = ctx
|
||||
.builder
|
||||
.build_select(
|
||||
ctx.builder.build_int_compare(IntPredicate::SLT, dest_idx.2, zero, "is_neg").unwrap(),
|
||||
ctx.builder.build_int_sub(dest_idx.1, one, "e_min_one").unwrap(),
|
||||
ctx.builder.build_int_add(dest_idx.1, one, "e_add_one").unwrap(),
|
||||
"final_e",
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap();
|
||||
let src_slice_len =
|
||||
calculate_len_for_slice_range(generator, ctx, src_idx.0, src_end, src_idx.2);
|
||||
let dest_slice_len =
|
||||
calculate_len_for_slice_range(generator, ctx, dest_idx.0, dest_end, dest_idx.2);
|
||||
let src_eq_dest = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, src_slice_len, dest_slice_len, "slice_src_eq_dest")
|
||||
.unwrap();
|
||||
let src_slt_dest = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::SLT, src_slice_len, dest_slice_len, "slice_src_slt_dest")
|
||||
.unwrap();
|
||||
let dest_step_eq_one = ctx
|
||||
.builder
|
||||
.build_int_compare(
|
||||
IntPredicate::EQ,
|
||||
dest_idx.2,
|
||||
dest_idx.2.get_type().const_int(1, false),
|
||||
"slice_dest_step_eq_one",
|
||||
)
|
||||
.unwrap();
|
||||
let cond_1 = ctx.builder.build_and(dest_step_eq_one, src_slt_dest, "slice_cond_1").unwrap();
|
||||
let cond = ctx.builder.build_or(src_eq_dest, cond_1, "slice_cond").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
cond,
|
||||
"0:ValueError",
|
||||
"attempt to assign sequence of size {0} to slice of size {1} with step size {2}",
|
||||
[Some(src_slice_len), Some(dest_slice_len), Some(dest_idx.2)],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
let new_len = {
|
||||
let args = vec![
|
||||
dest_idx.0.into(), // dest start idx
|
||||
dest_idx.1.into(), // dest end idx
|
||||
dest_idx.2.into(), // dest step
|
||||
dest_arr_ptr.into(), // dest arr ptr
|
||||
dest_len.into(), // dest arr len
|
||||
src_idx.0.into(), // src start idx
|
||||
src_idx.1.into(), // src end idx
|
||||
src_idx.2.into(), // src step
|
||||
src_arr_ptr.into(), // src arr ptr
|
||||
src_len.into(), // src arr len
|
||||
{
|
||||
let s = match ty {
|
||||
BasicTypeEnum::FloatType(t) => t.size_of(),
|
||||
BasicTypeEnum::IntType(t) => t.size_of(),
|
||||
BasicTypeEnum::PointerType(t) => t.size_of(),
|
||||
BasicTypeEnum::StructType(t) => t.size_of().unwrap(),
|
||||
_ => codegen_unreachable!(ctx),
|
||||
};
|
||||
ctx.builder.build_int_truncate_or_bit_cast(s, int32, "size").unwrap()
|
||||
}
|
||||
.into(),
|
||||
];
|
||||
ctx.builder
|
||||
.build_call(slice_assign_fun, args.as_slice(), "slice_assign")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
};
|
||||
// update length
|
||||
let need_update =
|
||||
ctx.builder.build_int_compare(IntPredicate::NE, new_len, dest_len, "need_update").unwrap();
|
||||
let current = ctx.builder.get_insert_block().unwrap().get_parent().unwrap();
|
||||
let update_bb = ctx.ctx.append_basic_block(current, "update");
|
||||
let cont_bb = ctx.ctx.append_basic_block(current, "cont");
|
||||
ctx.builder.build_conditional_branch(need_update, update_bb, cont_bb).unwrap();
|
||||
ctx.builder.position_at_end(update_bb);
|
||||
let new_len = ctx.builder.build_int_z_extend_or_bit_cast(new_len, size_ty, "new_len").unwrap();
|
||||
dest_arr.store_size(ctx, generator, new_len);
|
||||
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
|
||||
ctx.builder.position_at_end(cont_bb);
|
||||
}
|
||||
|
||||
/// Generates a call to `isinf` in IR. Returns an `i1` representing the result.
|
||||
pub fn call_isinf<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
v: FloatValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_isinf").unwrap_or_else(|| {
|
||||
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
|
||||
ctx.module.add_function("__nac3_isinf", fn_type, None)
|
||||
});
|
||||
|
||||
let ret = ctx
|
||||
.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "isinf")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap();
|
||||
|
||||
generator.bool_to_i1(ctx, ret)
|
||||
}
|
||||
|
||||
/// Generates a call to `isnan` in IR. Returns an `i1` representing the result.
|
||||
pub fn call_isnan<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
v: FloatValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_isnan").unwrap_or_else(|| {
|
||||
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
|
||||
ctx.module.add_function("__nac3_isnan", fn_type, None)
|
||||
});
|
||||
|
||||
let ret = ctx
|
||||
.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "isnan")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap();
|
||||
|
||||
generator.bool_to_i1(ctx, ret)
|
||||
}
|
||||
|
||||
/// Generates a call to `gamma` in IR. Returns an `f64` representing the result.
|
||||
pub fn call_gamma<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_gamma").unwrap_or_else(|| {
|
||||
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
|
||||
ctx.module.add_function("__nac3_gamma", fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "gamma")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_float_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `gammaln` in IR. Returns an `f64` representing the result.
|
||||
pub fn call_gammaln<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_gammaln").unwrap_or_else(|| {
|
||||
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
|
||||
ctx.module.add_function("__nac3_gammaln", fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "gammaln")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_float_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `j0` in IR. Returns an `f64` representing the result.
|
||||
pub fn call_j0<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_j0").unwrap_or_else(|| {
|
||||
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
|
||||
ctx.module.add_function("__nac3_j0", fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[v.into()], "j0")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_float_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_size`. Returns an [`IntValue`] representing the
|
||||
/// calculated total size.
|
||||
///
|
||||
/// * `dims` - An [`ArrayLikeIndexer`] containing the size of each dimension.
|
||||
/// * `range` - The dimension index to begin and end (exclusively) calculating the dimensions for,
|
||||
/// or [`None`] if starting from the first dimension and ending at the last dimension
|
||||
/// respectively.
|
||||
pub fn call_ndarray_calc_size<'ctx, G, Dims>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
dims: &Dims,
|
||||
(begin, end): (Option<IntValue<'ctx>>, Option<IntValue<'ctx>>),
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Dims: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_size_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_size",
|
||||
64 => "__nac3_ndarray_calc_size64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_size_fn_t = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
|
||||
false,
|
||||
);
|
||||
let ndarray_calc_size_fn =
|
||||
ctx.module.get_function(ndarray_calc_size_fn_name).unwrap_or_else(|| {
|
||||
ctx.module.add_function(ndarray_calc_size_fn_name, ndarray_calc_size_fn_t, None)
|
||||
});
|
||||
|
||||
let begin = begin.unwrap_or_else(|| llvm_usize.const_zero());
|
||||
let end = end.unwrap_or_else(|| dims.size(ctx, generator));
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_size_fn,
|
||||
&[
|
||||
dims.base_ptr(ctx, generator).into(),
|
||||
dims.size(ctx, generator).into(),
|
||||
begin.into(),
|
||||
end.into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_nd_indices`. Returns a [`TypeArrayLikeAdpater`]
|
||||
/// containing `i32` indices of the flattened index.
|
||||
///
|
||||
/// * `index` - The index to compute the multidimensional index for.
|
||||
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
|
||||
/// `NDArray`.
|
||||
pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
index: IntValue<'ctx>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let llvm_void = ctx.ctx.void_type();
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_nd_indices_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_nd_indices",
|
||||
64 => "__nac3_ndarray_calc_nd_indices64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_nd_indices_fn =
|
||||
ctx.module.get_function(ndarray_calc_nd_indices_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_void.fn_type(
|
||||
&[llvm_usize.into(), llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_nd_indices_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
let ndarray_dims = ndarray.dim_sizes();
|
||||
|
||||
let indices = ctx.builder.build_array_alloca(llvm_i32, ndarray_num_dims, "").unwrap();
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_nd_indices_fn,
|
||||
&[
|
||||
index.into(),
|
||||
ndarray_dims.base_ptr(ctx, generator).into(),
|
||||
ndarray_num_dims.into(),
|
||||
indices.into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
TypedArrayLikeAdapter::from(
|
||||
ArraySliceValue::from_ptr_val(indices, ndarray_num_dims, None),
|
||||
Box::new(|_, v| v.into_int_value()),
|
||||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
|
||||
fn call_ndarray_flatten_index_impl<'ctx, G, Indices>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: &Indices,
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Indices: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
debug_assert_eq!(
|
||||
IntType::try_from(indices.element_type(ctx, generator))
|
||||
.map(IntType::get_bit_width)
|
||||
.unwrap_or_default(),
|
||||
llvm_i32.get_bit_width(),
|
||||
"Expected i32 value for argument `indices` to `call_ndarray_flatten_index_impl`"
|
||||
);
|
||||
debug_assert_eq!(
|
||||
indices.size(ctx, generator).get_type().get_bit_width(),
|
||||
llvm_usize.get_bit_width(),
|
||||
"Expected usize integer value for argument `indices_size` to `call_ndarray_flatten_index_impl`"
|
||||
);
|
||||
|
||||
let ndarray_flatten_index_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_flatten_index",
|
||||
64 => "__nac3_ndarray_flatten_index64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_flatten_index_fn =
|
||||
ctx.module.get_function(ndarray_flatten_index_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_usize.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_flatten_index_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
let ndarray_dims = ndarray.dim_sizes();
|
||||
|
||||
let index = ctx
|
||||
.builder
|
||||
.build_call(
|
||||
ndarray_flatten_index_fn,
|
||||
&[
|
||||
ndarray_dims.base_ptr(ctx, generator).into(),
|
||||
ndarray_num_dims.into(),
|
||||
indices.base_ptr(ctx, generator).into(),
|
||||
indices.size(ctx, generator).into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap();
|
||||
|
||||
index
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_flatten_index`. Returns the flattened index for the
|
||||
/// multidimensional index.
|
||||
///
|
||||
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
|
||||
/// `NDArray`.
|
||||
/// * `indices` - The multidimensional index to compute the flattened index for.
|
||||
pub fn call_ndarray_flatten_index<'ctx, G, Index>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: &Index,
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Index: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
call_ndarray_flatten_index_impl(generator, ctx, ndarray, indices)
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_broadcast`. Returns a tuple containing the number of
|
||||
/// dimension and size of each dimension of the resultant `ndarray`.
|
||||
pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
lhs: NDArrayValue<'ctx>,
|
||||
rhs: NDArrayValue<'ctx>,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_broadcast",
|
||||
64 => "__nac3_ndarray_calc_broadcast64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_broadcast_fn =
|
||||
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[
|
||||
llvm_pusize.into(),
|
||||
llvm_usize.into(),
|
||||
llvm_pusize.into(),
|
||||
llvm_usize.into(),
|
||||
llvm_pusize.into(),
|
||||
],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let lhs_ndims = lhs.load_ndims(ctx);
|
||||
let rhs_ndims = rhs.load_ndims(ctx);
|
||||
let min_ndims = llvm_intrinsics::call_int_umin(ctx, lhs_ndims, rhs_ndims, None);
|
||||
|
||||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(min_ndims, false),
|
||||
|generator, ctx, _, idx| {
|
||||
let idx = ctx.builder.build_int_sub(min_ndims, idx, "").unwrap();
|
||||
let (lhs_dim_sz, rhs_dim_sz) = unsafe {
|
||||
(
|
||||
lhs.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None),
|
||||
rhs.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None),
|
||||
)
|
||||
};
|
||||
|
||||
let llvm_usize_const_one = llvm_usize.const_int(1, false);
|
||||
let lhs_eqz = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, lhs_dim_sz, llvm_usize_const_one, "")
|
||||
.unwrap();
|
||||
let rhs_eqz = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, rhs_dim_sz, llvm_usize_const_one, "")
|
||||
.unwrap();
|
||||
let lhs_or_rhs_eqz = ctx.builder.build_or(lhs_eqz, rhs_eqz, "").unwrap();
|
||||
|
||||
let lhs_eq_rhs = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, lhs_dim_sz, rhs_dim_sz, "")
|
||||
.unwrap();
|
||||
|
||||
let is_compatible = ctx.builder.build_or(lhs_or_rhs_eqz, lhs_eq_rhs, "").unwrap();
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
is_compatible,
|
||||
"0:ValueError",
|
||||
"operands could not be broadcast together",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
Ok(())
|
||||
},
|
||||
llvm_usize.const_int(1, false),
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let max_ndims = llvm_intrinsics::call_int_umax(ctx, lhs_ndims, rhs_ndims, None);
|
||||
let lhs_dims = lhs.dim_sizes().base_ptr(ctx, generator);
|
||||
let lhs_ndims = lhs.load_ndims(ctx);
|
||||
let rhs_dims = rhs.dim_sizes().base_ptr(ctx, generator);
|
||||
let rhs_ndims = rhs.load_ndims(ctx);
|
||||
let out_dims = ctx.builder.build_array_alloca(llvm_usize, max_ndims, "").unwrap();
|
||||
let out_dims = ArraySliceValue::from_ptr_val(out_dims, max_ndims, None);
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_broadcast_fn,
|
||||
&[
|
||||
lhs_dims.into(),
|
||||
lhs_ndims.into(),
|
||||
rhs_dims.into(),
|
||||
rhs_ndims.into(),
|
||||
out_dims.base_ptr(ctx, generator).into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
TypedArrayLikeAdapter::from(
|
||||
out_dims,
|
||||
Box::new(|_, v| v.into_int_value()),
|
||||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_broadcast_idx`. Returns an [`ArrayAllocaValue`]
|
||||
/// containing the indices used for accessing `array` corresponding to the index of the broadcasted
|
||||
/// array `broadcast_idx`.
|
||||
pub fn call_ndarray_calc_broadcast_index<
|
||||
'ctx,
|
||||
G: CodeGenerator + ?Sized,
|
||||
BroadcastIdx: UntypedArrayLikeAccessor<'ctx>,
|
||||
>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
array: NDArrayValue<'ctx>,
|
||||
broadcast_idx: &BroadcastIdx,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_broadcast_idx",
|
||||
64 => "__nac3_ndarray_calc_broadcast_idx64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_broadcast_fn =
|
||||
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_pi32.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let broadcast_size = broadcast_idx.size(ctx, generator);
|
||||
let out_idx = ctx.builder.build_array_alloca(llvm_i32, broadcast_size, "").unwrap();
|
||||
|
||||
let array_dims = array.dim_sizes().base_ptr(ctx, generator);
|
||||
let array_ndims = array.load_ndims(ctx);
|
||||
let broadcast_idx_ptr = unsafe {
|
||||
broadcast_idx.ptr_offset_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
};
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_broadcast_fn,
|
||||
&[array_dims.into(), array_ndims.into(), broadcast_idx_ptr.into(), out_idx.into()],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
TypedArrayLikeAdapter::from(
|
||||
ArraySliceValue::from_ptr_val(out_idx, broadcast_size, None),
|
||||
Box::new(|_, v| v.into_int_value()),
|
||||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
|
||||
// When [`TypeContext::size_type`] is 32-bits, the function name is "{fn_name}".
|
||||
// When [`TypeContext::size_type`] is 64-bits, the function name is "{fn_name}64".
|
||||
#[must_use]
|
||||
pub fn get_sizet_dependent_function_name<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'_, '_>,
|
||||
name: &str,
|
||||
) -> String {
|
||||
let mut name = name.to_owned();
|
||||
match generator.get_size_type(ctx.ctx).get_bit_width() {
|
||||
32 => {}
|
||||
64 => name.push_str("64"),
|
||||
bit_width => {
|
||||
panic!("Unsupported int type bit width {bit_width}, must be either 32-bits or 64-bits")
|
||||
}
|
||||
}
|
||||
name
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_util_assert_shape_no_negative<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndims: Instance<'ctx, Int<SizeT>>,
|
||||
shape: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) {
|
||||
let name = get_sizet_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_util_assert_shape_no_negative",
|
||||
);
|
||||
FnCall::builder(generator, ctx, &name).arg(ndims).arg(shape).returning_void();
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_util_assert_output_shape_same<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray_ndims: Instance<'ctx, Int<SizeT>>,
|
||||
ndarray_shape: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
output_ndims: Instance<'ctx, Int<SizeT>>,
|
||||
output_shape: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) {
|
||||
let name = get_sizet_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_util_assert_output_shape_same",
|
||||
);
|
||||
FnCall::builder(generator, ctx, &name)
|
||||
.arg(ndarray_ndims)
|
||||
.arg(ndarray_shape)
|
||||
.arg(output_ndims)
|
||||
.arg(output_shape)
|
||||
.returning_void();
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_size<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_size");
|
||||
FnCall::builder(generator, ctx, &name).arg(ndarray).returning_auto("size")
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_nbytes<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_nbytes");
|
||||
FnCall::builder(generator, ctx, &name).arg(ndarray).returning_auto("nbytes")
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_len<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_len");
|
||||
FnCall::builder(generator, ctx, &name).arg(ndarray).returning_auto("len")
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_is_c_contiguous<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
) -> Instance<'ctx, Int<Bool>> {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_is_c_contiguous");
|
||||
FnCall::builder(generator, ctx, &name).arg(ndarray).returning_auto("is_c_contiguous")
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_get_nth_pelement<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
index: Instance<'ctx, Int<SizeT>>,
|
||||
) -> Instance<'ctx, Ptr<Int<Byte>>> {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_get_nth_pelement");
|
||||
FnCall::builder(generator, ctx, &name).arg(ndarray).arg(index).returning_auto("pelement")
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_get_pelement_by_indices<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
indices: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) -> Instance<'ctx, Ptr<Int<Byte>>> {
|
||||
let name =
|
||||
get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_get_pelement_by_indices");
|
||||
FnCall::builder(generator, ctx, &name).arg(ndarray).arg(indices).returning_auto("pelement")
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_set_strides_by_shape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
) {
|
||||
let name =
|
||||
get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_set_strides_by_shape");
|
||||
FnCall::builder(generator, ctx, &name).arg(ndarray).returning_void();
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_copy_data<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
dst_ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
) {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_ndarray_copy_data");
|
||||
FnCall::builder(generator, ctx, &name).arg(src_ndarray).arg(dst_ndarray).returning_void();
|
||||
}
|
||||
|
||||
pub fn call_nac3_nditer_initialize<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
|
||||
ndarray: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
indices: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_initialize");
|
||||
FnCall::builder(generator, ctx, &name).arg(iter).arg(ndarray).arg(indices).returning_void();
|
||||
}
|
||||
|
||||
pub fn call_nac3_nditer_has_element<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
|
||||
) -> Instance<'ctx, Int<Bool>> {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_has_element");
|
||||
FnCall::builder(generator, ctx, &name).arg(iter).returning_auto("has_element")
|
||||
}
|
||||
|
||||
pub fn call_nac3_nditer_next<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
iter: Instance<'ctx, Ptr<Struct<NDIter>>>,
|
||||
) {
|
||||
let name = get_sizet_dependent_function_name(generator, ctx, "__nac3_nditer_next");
|
||||
FnCall::builder(generator, ctx, &name).arg(iter).returning_void();
|
||||
}
|
||||
|
||||
@ -1,250 +0,0 @@
|
||||
use inkwell::{
|
||||
values::{BasicValueEnum, IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use crate::codegen::{
|
||||
expr::{create_and_call_function, infer_and_call_function},
|
||||
irrt::get_usize_dependent_function_name,
|
||||
types::ProxyType,
|
||||
values::{ndarray::NDArrayValue, ProxyValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
pub fn call_nac3_ndarray_util_assert_shape_no_negative<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndims: IntValue<'ctx>,
|
||||
shape: PointerValue<'ctx>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let name = get_usize_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_util_assert_shape_no_negative",
|
||||
);
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[(llvm_usize.into(), ndims.into()), (llvm_pusize.into(), shape.into())],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_util_assert_output_shape_same<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray_ndims: IntValue<'ctx>,
|
||||
ndarray_shape: PointerValue<'ctx>,
|
||||
output_ndims: IntValue<'ctx>,
|
||||
output_shape: IntValue<'ctx>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let name = get_usize_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_util_assert_output_shape_same",
|
||||
);
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[
|
||||
(llvm_usize.into(), ndarray_ndims.into()),
|
||||
(llvm_pusize.into(), ndarray_shape.into()),
|
||||
(llvm_usize.into(), output_ndims.into()),
|
||||
(llvm_pusize.into(), output_shape.into()),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_size<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_size");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
Some("size"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_nbytes<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_nbytes");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
Some("nbytes"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_len<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_len");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
Some("len"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_is_c_contiguous<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_i1 = ctx.ctx.bool_type();
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_is_c_contiguous");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_i1.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
Some("is_c_contiguous"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_get_nth_pelement<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
index: IntValue<'ctx>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_get_nth_pelement");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_pi8.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into()), (llvm_usize.into(), index.into())],
|
||||
Some("pelement"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_get_pelement_by_indices<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: PointerValue<'ctx>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name =
|
||||
get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_get_pelement_by_indices");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_pi8.into()),
|
||||
&[
|
||||
(llvm_ndarray.into(), ndarray.as_base_value().into()),
|
||||
(llvm_pusize.into(), indices.into()),
|
||||
],
|
||||
Some("pelement"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_set_strides_by_shape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name =
|
||||
get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_set_strides_by_shape");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_copy_data<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: NDArrayValue<'ctx>,
|
||||
dst_ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_copy_data");
|
||||
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[src_ndarray.as_base_value().into(), dst_ndarray.as_base_value().into()],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
@ -1,29 +0,0 @@
|
||||
use crate::codegen::{
|
||||
expr::infer_and_call_function,
|
||||
irrt::get_usize_dependent_function_name,
|
||||
values::{ndarray::NDArrayValue, ArrayLikeValue, ArraySliceValue, ProxyValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
pub fn call_nac3_ndarray_index<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
indices: ArraySliceValue<'ctx>,
|
||||
src_ndarray: NDArrayValue<'ctx>,
|
||||
dst_ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_index");
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[
|
||||
indices.size(ctx, generator).into(),
|
||||
indices.base_ptr(ctx, generator).into(),
|
||||
src_ndarray.as_base_value().into(),
|
||||
dst_ndarray.as_base_value().into(),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
@ -1,70 +0,0 @@
|
||||
use inkwell::{
|
||||
values::{BasicValueEnum, IntValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use crate::codegen::{
|
||||
expr::{create_and_call_function, infer_and_call_function},
|
||||
irrt::get_usize_dependent_function_name,
|
||||
types::ProxyType,
|
||||
values::{
|
||||
ndarray::{NDArrayValue, NDIterValue},
|
||||
ArrayLikeValue, ArraySliceValue, ProxyValue,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
pub fn call_nac3_nditer_initialize<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
iter: NDIterValue<'ctx>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: ArraySliceValue<'ctx>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_nditer_initialize");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[
|
||||
(iter.get_type().as_base_type().into(), iter.as_base_value().into()),
|
||||
(ndarray.get_type().as_base_type().into(), ndarray.as_base_value().into()),
|
||||
(llvm_pusize.into(), indices.base_ptr(ctx, generator).into()),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
pub fn call_nac3_nditer_has_element<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
iter: NDIterValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_nditer_has_element");
|
||||
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(ctx.ctx.bool_type().into()),
|
||||
&[iter.as_base_value().into()],
|
||||
None,
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
pub fn call_nac3_nditer_next<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
iter: NDIterValue<'ctx>,
|
||||
) {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_nditer_next");
|
||||
|
||||
infer_and_call_function(ctx, &name, None, &[iter.as_base_value().into()], None, None);
|
||||
}
|
||||
@ -1,391 +0,0 @@
|
||||
use inkwell::{
|
||||
types::IntType,
|
||||
values::{BasicValueEnum, CallSiteValue, IntValue},
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
use itertools::Either;
|
||||
|
||||
use crate::codegen::{
|
||||
llvm_intrinsics,
|
||||
macros::codegen_unreachable,
|
||||
stmt::gen_for_callback_incrementing,
|
||||
values::{
|
||||
ndarray::NDArrayValue, ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue,
|
||||
TypedArrayLikeAccessor, TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
pub use basic::*;
|
||||
pub use indexing::*;
|
||||
pub use iter::*;
|
||||
|
||||
mod basic;
|
||||
mod indexing;
|
||||
mod iter;
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_size`. Returns an [`IntValue`] representing the
|
||||
/// calculated total size.
|
||||
///
|
||||
/// * `dims` - An [`ArrayLikeIndexer`] containing the size of each dimension.
|
||||
/// * `range` - The dimension index to begin and end (exclusively) calculating the dimensions for,
|
||||
/// or [`None`] if starting from the first dimension and ending at the last dimension
|
||||
/// respectively.
|
||||
pub fn call_ndarray_calc_size<'ctx, G, Dims>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
dims: &Dims,
|
||||
(begin, end): (Option<IntValue<'ctx>>, Option<IntValue<'ctx>>),
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Dims: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_size_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_size",
|
||||
64 => "__nac3_ndarray_calc_size64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_size_fn_t = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
|
||||
false,
|
||||
);
|
||||
let ndarray_calc_size_fn =
|
||||
ctx.module.get_function(ndarray_calc_size_fn_name).unwrap_or_else(|| {
|
||||
ctx.module.add_function(ndarray_calc_size_fn_name, ndarray_calc_size_fn_t, None)
|
||||
});
|
||||
|
||||
let begin = begin.unwrap_or_else(|| llvm_usize.const_zero());
|
||||
let end = end.unwrap_or_else(|| dims.size(ctx, generator));
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_size_fn,
|
||||
&[
|
||||
dims.base_ptr(ctx, generator).into(),
|
||||
dims.size(ctx, generator).into(),
|
||||
begin.into(),
|
||||
end.into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_nd_indices`. Returns a [`TypeArrayLikeAdpater`]
|
||||
/// containing `i32` indices of the flattened index.
|
||||
///
|
||||
/// * `index` - The index to compute the multidimensional index for.
|
||||
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
|
||||
/// `NDArray`.
|
||||
pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
index: IntValue<'ctx>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let llvm_void = ctx.ctx.void_type();
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_nd_indices_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_nd_indices",
|
||||
64 => "__nac3_ndarray_calc_nd_indices64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_nd_indices_fn =
|
||||
ctx.module.get_function(ndarray_calc_nd_indices_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_void.fn_type(
|
||||
&[llvm_usize.into(), llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_nd_indices_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
let ndarray_dims = ndarray.shape();
|
||||
|
||||
let indices = ctx.builder.build_array_alloca(llvm_i32, ndarray_num_dims, "").unwrap();
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_nd_indices_fn,
|
||||
&[
|
||||
index.into(),
|
||||
ndarray_dims.base_ptr(ctx, generator).into(),
|
||||
ndarray_num_dims.into(),
|
||||
indices.into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
TypedArrayLikeAdapter::from(
|
||||
ArraySliceValue::from_ptr_val(indices, ndarray_num_dims, None),
|
||||
Box::new(|_, v| v.into_int_value()),
|
||||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
|
||||
fn call_ndarray_flatten_index_impl<'ctx, G, Indices>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: &Indices,
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Indices: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
debug_assert_eq!(
|
||||
IntType::try_from(indices.element_type(ctx, generator))
|
||||
.map(IntType::get_bit_width)
|
||||
.unwrap_or_default(),
|
||||
llvm_i32.get_bit_width(),
|
||||
"Expected i32 value for argument `indices` to `call_ndarray_flatten_index_impl`"
|
||||
);
|
||||
debug_assert_eq!(
|
||||
indices.size(ctx, generator).get_type().get_bit_width(),
|
||||
llvm_usize.get_bit_width(),
|
||||
"Expected usize integer value for argument `indices_size` to `call_ndarray_flatten_index_impl`"
|
||||
);
|
||||
|
||||
let ndarray_flatten_index_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_flatten_index",
|
||||
64 => "__nac3_ndarray_flatten_index64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_flatten_index_fn =
|
||||
ctx.module.get_function(ndarray_flatten_index_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_usize.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_flatten_index_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
let ndarray_dims = ndarray.shape();
|
||||
|
||||
let index = ctx
|
||||
.builder
|
||||
.build_call(
|
||||
ndarray_flatten_index_fn,
|
||||
&[
|
||||
ndarray_dims.base_ptr(ctx, generator).into(),
|
||||
ndarray_num_dims.into(),
|
||||
indices.base_ptr(ctx, generator).into(),
|
||||
indices.size(ctx, generator).into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap();
|
||||
|
||||
index
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_flatten_index`. Returns the flattened index for the
|
||||
/// multidimensional index.
|
||||
///
|
||||
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
|
||||
/// `NDArray`.
|
||||
/// * `indices` - The multidimensional index to compute the flattened index for.
|
||||
pub fn call_ndarray_flatten_index<'ctx, G, Index>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: &Index,
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Index: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
call_ndarray_flatten_index_impl(generator, ctx, ndarray, indices)
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_broadcast`. Returns a tuple containing the number of
|
||||
/// dimension and size of each dimension of the resultant `ndarray`.
|
||||
pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
lhs: NDArrayValue<'ctx>,
|
||||
rhs: NDArrayValue<'ctx>,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_broadcast",
|
||||
64 => "__nac3_ndarray_calc_broadcast64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_broadcast_fn =
|
||||
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[
|
||||
llvm_pusize.into(),
|
||||
llvm_usize.into(),
|
||||
llvm_pusize.into(),
|
||||
llvm_usize.into(),
|
||||
llvm_pusize.into(),
|
||||
],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let lhs_ndims = lhs.load_ndims(ctx);
|
||||
let rhs_ndims = rhs.load_ndims(ctx);
|
||||
let min_ndims = llvm_intrinsics::call_int_umin(ctx, lhs_ndims, rhs_ndims, None);
|
||||
|
||||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(min_ndims, false),
|
||||
|generator, ctx, _, idx| {
|
||||
let idx = ctx.builder.build_int_sub(min_ndims, idx, "").unwrap();
|
||||
let (lhs_dim_sz, rhs_dim_sz) = unsafe {
|
||||
(
|
||||
lhs.shape().get_typed_unchecked(ctx, generator, &idx, None),
|
||||
rhs.shape().get_typed_unchecked(ctx, generator, &idx, None),
|
||||
)
|
||||
};
|
||||
|
||||
let llvm_usize_const_one = llvm_usize.const_int(1, false);
|
||||
let lhs_eqz = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, lhs_dim_sz, llvm_usize_const_one, "")
|
||||
.unwrap();
|
||||
let rhs_eqz = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, rhs_dim_sz, llvm_usize_const_one, "")
|
||||
.unwrap();
|
||||
let lhs_or_rhs_eqz = ctx.builder.build_or(lhs_eqz, rhs_eqz, "").unwrap();
|
||||
|
||||
let lhs_eq_rhs = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, lhs_dim_sz, rhs_dim_sz, "")
|
||||
.unwrap();
|
||||
|
||||
let is_compatible = ctx.builder.build_or(lhs_or_rhs_eqz, lhs_eq_rhs, "").unwrap();
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
is_compatible,
|
||||
"0:ValueError",
|
||||
"operands could not be broadcast together",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
Ok(())
|
||||
},
|
||||
llvm_usize.const_int(1, false),
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let max_ndims = llvm_intrinsics::call_int_umax(ctx, lhs_ndims, rhs_ndims, None);
|
||||
let lhs_dims = lhs.shape().base_ptr(ctx, generator);
|
||||
let lhs_ndims = lhs.load_ndims(ctx);
|
||||
let rhs_dims = rhs.shape().base_ptr(ctx, generator);
|
||||
let rhs_ndims = rhs.load_ndims(ctx);
|
||||
let out_dims = ctx.builder.build_array_alloca(llvm_usize, max_ndims, "").unwrap();
|
||||
let out_dims = ArraySliceValue::from_ptr_val(out_dims, max_ndims, None);
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_broadcast_fn,
|
||||
&[
|
||||
lhs_dims.into(),
|
||||
lhs_ndims.into(),
|
||||
rhs_dims.into(),
|
||||
rhs_ndims.into(),
|
||||
out_dims.base_ptr(ctx, generator).into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
TypedArrayLikeAdapter::from(
|
||||
out_dims,
|
||||
Box::new(|_, v| v.into_int_value()),
|
||||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_broadcast_idx`. Returns an [`ArrayAllocaValue`]
|
||||
/// containing the indices used for accessing `array` corresponding to the index of the broadcasted
|
||||
/// array `broadcast_idx`.
|
||||
pub fn call_ndarray_calc_broadcast_index<
|
||||
'ctx,
|
||||
G: CodeGenerator + ?Sized,
|
||||
BroadcastIdx: UntypedArrayLikeAccessor<'ctx>,
|
||||
>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
array: NDArrayValue<'ctx>,
|
||||
broadcast_idx: &BroadcastIdx,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_broadcast_idx",
|
||||
64 => "__nac3_ndarray_calc_broadcast_idx64",
|
||||
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_broadcast_fn =
|
||||
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_pi32.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let broadcast_size = broadcast_idx.size(ctx, generator);
|
||||
let out_idx = ctx.builder.build_array_alloca(llvm_i32, broadcast_size, "").unwrap();
|
||||
|
||||
let array_dims = array.shape().base_ptr(ctx, generator);
|
||||
let array_ndims = array.load_ndims(ctx);
|
||||
let broadcast_idx_ptr = unsafe {
|
||||
broadcast_idx.ptr_offset_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
};
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_broadcast_fn,
|
||||
&[array_dims.into(), array_ndims.into(), broadcast_idx_ptr.into(), out_idx.into()],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
TypedArrayLikeAdapter::from(
|
||||
ArraySliceValue::from_ptr_val(out_idx, broadcast_size, None),
|
||||
Box::new(|_, v| v.into_int_value()),
|
||||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
@ -1,42 +0,0 @@
|
||||
use inkwell::{
|
||||
values::{BasicValueEnum, CallSiteValue, IntValue},
|
||||
IntPredicate,
|
||||
};
|
||||
use itertools::Either;
|
||||
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
pub fn calculate_len_for_slice_range<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
start: IntValue<'ctx>,
|
||||
end: IntValue<'ctx>,
|
||||
step: IntValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
const SYMBOL: &str = "__nac3_range_slice_len";
|
||||
let len_func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
|
||||
let i32_t = ctx.ctx.i32_type();
|
||||
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into(), i32_t.into()], false);
|
||||
ctx.module.add_function(SYMBOL, fn_t, None)
|
||||
});
|
||||
|
||||
// assert step != 0, throw exception if not
|
||||
let not_zero = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::NE, step, step.get_type().const_zero(), "range_step_ne")
|
||||
.unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
not_zero,
|
||||
"0:ValueError",
|
||||
"step must not be zero",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
ctx.builder
|
||||
.build_call(len_func, &[start.into(), end.into(), step.into()], "calc_len")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
@ -1,39 +0,0 @@
|
||||
use inkwell::values::{BasicValueEnum, CallSiteValue, IntValue};
|
||||
use itertools::Either;
|
||||
|
||||
use nac3parser::ast::Expr;
|
||||
|
||||
use crate::{
|
||||
codegen::{CodeGenContext, CodeGenerator},
|
||||
typecheck::typedef::Type,
|
||||
};
|
||||
|
||||
/// this function allows index out of range, since python
|
||||
/// allows index out of range in slice (`a = [1,2,3]; a[1:10] == [2,3]`).
|
||||
pub fn handle_slice_index_bound<'ctx, G: CodeGenerator>(
|
||||
i: &Expr<Option<Type>>,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
length: IntValue<'ctx>,
|
||||
) -> Result<Option<IntValue<'ctx>>, String> {
|
||||
const SYMBOL: &str = "__nac3_slice_index_bound";
|
||||
let func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
|
||||
let i32_t = ctx.ctx.i32_type();
|
||||
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into()], false);
|
||||
ctx.module.add_function(SYMBOL, fn_t, None)
|
||||
});
|
||||
|
||||
let i = if let Some(v) = generator.gen_expr(ctx, i)? {
|
||||
v.to_basic_value_enum(ctx, generator, i.custom.unwrap())?
|
||||
} else {
|
||||
return Ok(None);
|
||||
};
|
||||
Ok(Some(
|
||||
ctx.builder
|
||||
.build_call(func, &[i.into(), length.into()], "bounded_ind")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap(),
|
||||
))
|
||||
}
|
||||
@ -7,7 +7,7 @@ use inkwell::{
|
||||
};
|
||||
use itertools::Either;
|
||||
|
||||
use super::CodeGenContext;
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
/// Returns the string representation for the floating-point type `ft` when used in intrinsic
|
||||
/// functions.
|
||||
@ -201,49 +201,6 @@ pub fn call_memcpy_generic<'ctx>(
|
||||
call_memcpy(ctx, dest, src, len, is_volatile);
|
||||
}
|
||||
|
||||
/// Invokes the `llvm.memcpy` intrinsic.
|
||||
///
|
||||
/// Unlike [`call_memcpy`], this function accepts any type of pointer value. If `dest` or `src` is
|
||||
/// not a pointer to an integer, the pointer(s) will be cast to `i8*` before invoking `memcpy`.
|
||||
/// Moreover, `len` now refers to the number of elements to copy (rather than number of bytes to
|
||||
/// copy).
|
||||
pub fn call_memcpy_generic_array<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
dest: PointerValue<'ctx>,
|
||||
src: PointerValue<'ctx>,
|
||||
len: IntValue<'ctx>,
|
||||
is_volatile: IntValue<'ctx>,
|
||||
) {
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_sizeof_expr_t = llvm_i8.size_of().get_type();
|
||||
|
||||
let dest_elem_t = dest.get_type().get_element_type();
|
||||
let src_elem_t = src.get_type().get_element_type();
|
||||
|
||||
let dest = if matches!(dest_elem_t, IntType(t) if t.get_bit_width() == 8) {
|
||||
dest
|
||||
} else {
|
||||
ctx.builder
|
||||
.build_bit_cast(dest, llvm_p0i8, "")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
};
|
||||
let src = if matches!(src_elem_t, IntType(t) if t.get_bit_width() == 8) {
|
||||
src
|
||||
} else {
|
||||
ctx.builder
|
||||
.build_bit_cast(src, llvm_p0i8, "")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
let len = ctx.builder.build_int_z_extend_or_bit_cast(len, llvm_sizeof_expr_t, "").unwrap();
|
||||
let len = ctx.builder.build_int_mul(len, src_elem_t.size_of().unwrap(), "").unwrap();
|
||||
|
||||
call_memcpy(ctx, dest, src, len, is_volatile);
|
||||
}
|
||||
|
||||
/// Macro to find and generate build call for llvm intrinsic (body of llvm intrinsic function)
|
||||
///
|
||||
/// Arguments:
|
||||
@ -386,25 +343,3 @@ pub fn call_float_powi<'ctx>(
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Invokes the [`llvm.ctpop`](https://llvm.org/docs/LangRef.html#llvm-ctpop-intrinsic) intrinsic.
|
||||
pub fn call_int_ctpop<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
src: IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> IntValue<'ctx> {
|
||||
const FN_NAME: &str = "llvm.ctpop";
|
||||
|
||||
let llvm_src_t = src.get_type();
|
||||
|
||||
let intrinsic_fn = Intrinsic::find(FN_NAME)
|
||||
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_src_t.into()]))
|
||||
.unwrap();
|
||||
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[src.into()], name.unwrap_or_default())
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
@ -29,36 +29,36 @@ use parking_lot::{Condvar, Mutex};
|
||||
use nac3parser::ast::{Location, Stmt, StrRef};
|
||||
|
||||
use crate::{
|
||||
codegen::classes::{ListType, ProxyType, RangeType},
|
||||
symbol_resolver::{StaticValue, SymbolResolver},
|
||||
toplevel::{
|
||||
helper::{extract_ndims, PrimDef},
|
||||
numpy::unpack_ndarray_var_tys,
|
||||
TopLevelContext, TopLevelDef,
|
||||
},
|
||||
toplevel::{helper::PrimDef, TopLevelContext, TopLevelDef},
|
||||
typecheck::{
|
||||
type_inferencer::{CodeLocation, PrimitiveStore},
|
||||
typedef::{CallId, FuncArg, Type, TypeEnum, Unifier},
|
||||
},
|
||||
};
|
||||
use concrete_type::{ConcreteType, ConcreteTypeEnum, ConcreteTypeStore};
|
||||
pub use generator::{CodeGenerator, DefaultCodeGenerator};
|
||||
use types::{ndarray::NDArrayType, ListType, ProxyType, RangeType};
|
||||
use model::*;
|
||||
use object::ndarray::NDArray;
|
||||
|
||||
pub mod builtin_fns;
|
||||
pub mod classes;
|
||||
pub mod concrete_type;
|
||||
pub mod expr;
|
||||
pub mod extern_fns;
|
||||
mod generator;
|
||||
pub mod irrt;
|
||||
pub mod llvm_intrinsics;
|
||||
pub mod model;
|
||||
pub mod numpy;
|
||||
pub mod object;
|
||||
pub mod stmt;
|
||||
pub mod types;
|
||||
pub mod values;
|
||||
|
||||
#[cfg(test)]
|
||||
mod test;
|
||||
|
||||
use concrete_type::{ConcreteType, ConcreteTypeEnum, ConcreteTypeStore};
|
||||
pub use generator::{CodeGenerator, DefaultCodeGenerator};
|
||||
|
||||
mod macros {
|
||||
/// Codegen-variant of [`std::unreachable`] which accepts an instance of [`CodeGenContext`] as
|
||||
/// its first argument to provide Python source information to indicate the codegen location
|
||||
@ -514,13 +514,7 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
||||
}
|
||||
|
||||
TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(unifier, ty);
|
||||
let ndims = extract_ndims(unifier, ndims);
|
||||
let element_type = get_llvm_type(
|
||||
ctx, module, generator, unifier, top_level, type_cache, dtype,
|
||||
);
|
||||
|
||||
NDArrayType::new(generator, ctx, element_type, Some(ndims)).as_base_type().into()
|
||||
Ptr(Struct(NDArray)).llvm_type(generator, ctx).as_basic_type_enum()
|
||||
}
|
||||
|
||||
_ => unreachable!(
|
||||
@ -1124,106 +1118,3 @@ fn gen_in_range_check<'ctx>(
|
||||
fn get_va_count_arg_name(arg_name: StrRef) -> StrRef {
|
||||
format!("__{}_va_count", &arg_name).into()
|
||||
}
|
||||
|
||||
/// Returns the alignment of the type.
|
||||
///
|
||||
/// This is necessary as `get_alignment` is not implemented as part of [`BasicType`].
|
||||
pub fn get_type_alignment<'ctx>(ty: impl Into<BasicTypeEnum<'ctx>>) -> IntValue<'ctx> {
|
||||
match ty.into() {
|
||||
BasicTypeEnum::ArrayType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::FloatType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::IntType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::PointerType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::StructType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::VectorType(ty) => ty.get_alignment(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Inserts an `alloca` instruction with allocation `size` given in bytes and the alignment of the
|
||||
/// given type.
|
||||
///
|
||||
/// The returned [`PointerValue`] will have a type of `i8*`, a size of at least `size`, and will be
|
||||
/// aligned with the alignment of `align_ty`.
|
||||
pub fn type_aligned_alloca<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
align_ty: impl Into<BasicTypeEnum<'ctx>>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
/// Round `val` up to its modulo `power_of_two`.
|
||||
fn round_up<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
val: IntValue<'ctx>,
|
||||
power_of_two: IntValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
debug_assert_eq!(
|
||||
val.get_type().get_bit_width(),
|
||||
power_of_two.get_type().get_bit_width(),
|
||||
"`val` ({}) and `power_of_two` ({}) must be the same type",
|
||||
val.get_type(),
|
||||
power_of_two.get_type(),
|
||||
);
|
||||
|
||||
let llvm_val_t = val.get_type();
|
||||
|
||||
let max_rem =
|
||||
ctx.builder.build_int_sub(power_of_two, llvm_val_t.const_int(1, false), "").unwrap();
|
||||
ctx.builder
|
||||
.build_and(
|
||||
ctx.builder.build_int_add(val, max_rem, "").unwrap(),
|
||||
ctx.builder.build_not(max_rem, "").unwrap(),
|
||||
"",
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let align_ty = align_ty.into();
|
||||
|
||||
let size = ctx.builder.build_int_truncate_or_bit_cast(size, llvm_usize, "").unwrap();
|
||||
|
||||
debug_assert_eq!(
|
||||
size.get_type().get_bit_width(),
|
||||
llvm_usize.get_bit_width(),
|
||||
"Expected size_t ({}) for parameter `size` of `aligned_alloca`, got {}",
|
||||
llvm_usize,
|
||||
size.get_type(),
|
||||
);
|
||||
|
||||
let alignment = get_type_alignment(align_ty);
|
||||
let alignment = ctx.builder.build_int_truncate_or_bit_cast(alignment, llvm_usize, "").unwrap();
|
||||
|
||||
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
|
||||
let alignment_bitcount = llvm_intrinsics::call_int_ctpop(ctx, alignment, None);
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
ctx.builder
|
||||
.build_int_compare(
|
||||
IntPredicate::EQ,
|
||||
alignment_bitcount,
|
||||
alignment_bitcount.get_type().const_int(1, false),
|
||||
"",
|
||||
)
|
||||
.unwrap(),
|
||||
"0:AssertionError",
|
||||
"Expected power-of-two alignment for aligned_alloca, got {0}",
|
||||
[Some(alignment), None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
}
|
||||
|
||||
let buffer_size = round_up(ctx, size, alignment);
|
||||
let aligned_slices = ctx.builder.build_int_unsigned_div(buffer_size, alignment, "").unwrap();
|
||||
|
||||
// Just to be absolutely sure, alloca in [i8 x alignment] slices
|
||||
let buffer = ctx.builder.build_array_alloca(align_ty, aligned_slices, "").unwrap();
|
||||
|
||||
ctx.builder
|
||||
.build_bit_cast(buffer, llvm_pi8, name.unwrap_or_default())
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
41
nac3core/src/codegen/model/any.rs
Normal file
41
nac3core/src/codegen/model/any.rs
Normal file
@ -0,0 +1,41 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{BasicType, BasicTypeEnum},
|
||||
values::BasicValueEnum,
|
||||
};
|
||||
|
||||
use super::*;
|
||||
use crate::codegen::CodeGenerator;
|
||||
|
||||
/// A [`Model`] of any [`BasicTypeEnum`].
|
||||
///
|
||||
/// Use this when it is infeasible to use model abstractions.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Any<'ctx>(pub BasicTypeEnum<'ctx>);
|
||||
|
||||
impl<'ctx> Model<'ctx> for Any<'ctx> {
|
||||
type Value = BasicValueEnum<'ctx>;
|
||||
type Type = BasicTypeEnum<'ctx>;
|
||||
|
||||
fn llvm_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
_ctx: &'ctx Context,
|
||||
) -> Self::Type {
|
||||
self.0
|
||||
}
|
||||
|
||||
fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &mut G,
|
||||
_ctx: &'ctx Context,
|
||||
ty: T,
|
||||
) -> Result<(), ModelError> {
|
||||
let ty = ty.as_basic_type_enum();
|
||||
if ty == self.0 {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(ModelError(format!("Expecting {}, but got {}", self.0, ty)))
|
||||
}
|
||||
}
|
||||
}
|
||||
146
nac3core/src/codegen/model/array.rs
Normal file
146
nac3core/src/codegen/model/array.rs
Normal file
@ -0,0 +1,146 @@
|
||||
use std::fmt;
|
||||
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{ArrayType, BasicType, BasicTypeEnum},
|
||||
values::{ArrayValue, IntValue},
|
||||
};
|
||||
|
||||
use super::*;
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
/// Trait for Rust structs identifying length values for [`Array`].
|
||||
pub trait ArrayLen: fmt::Debug + Clone + Copy {
|
||||
fn length(&self) -> u32;
|
||||
}
|
||||
|
||||
/// A statically known length.
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Len<const N: u32>;
|
||||
|
||||
/// A dynamically known length.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct AnyLen(pub u32);
|
||||
|
||||
impl<const N: u32> ArrayLen for Len<N> {
|
||||
fn length(&self) -> u32 {
|
||||
N
|
||||
}
|
||||
}
|
||||
|
||||
impl ArrayLen for AnyLen {
|
||||
fn length(&self) -> u32 {
|
||||
self.0
|
||||
}
|
||||
}
|
||||
|
||||
/// A Model for an [`ArrayType`].
|
||||
///
|
||||
/// `Len` should be of a [`LenKind`] and `Item` should be a of [`Model`].
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Array<Len, Item> {
|
||||
/// Length of this array.
|
||||
pub len: Len,
|
||||
/// [`Model`] of the array items.
|
||||
pub item: Item,
|
||||
}
|
||||
|
||||
impl<'ctx, Len: ArrayLen, Item: Model<'ctx>> Model<'ctx> for Array<Len, Item> {
|
||||
type Value = ArrayValue<'ctx>;
|
||||
type Type = ArrayType<'ctx>;
|
||||
|
||||
fn llvm_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Self::Type {
|
||||
self.item.llvm_type(generator, ctx).array_type(self.len.length())
|
||||
}
|
||||
|
||||
fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
ty: T,
|
||||
) -> Result<(), ModelError> {
|
||||
let ty = ty.as_basic_type_enum();
|
||||
let BasicTypeEnum::ArrayType(ty) = ty else {
|
||||
return Err(ModelError(format!("Expecting ArrayType, but got {ty:?}")));
|
||||
};
|
||||
|
||||
if ty.len() != self.len.length() {
|
||||
return Err(ModelError(format!(
|
||||
"Expecting ArrayType with size {}, but got an ArrayType with size {}",
|
||||
ty.len(),
|
||||
self.len.length()
|
||||
)));
|
||||
}
|
||||
|
||||
self.item
|
||||
.check_type(generator, ctx, ty.get_element_type())
|
||||
.map_err(|err| err.under_context("an ArrayType"))?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, Len: ArrayLen, Item: Model<'ctx>> Instance<'ctx, Ptr<Array<Len, Item>>> {
|
||||
/// Get the pointer to the `i`-th (0-based) array element.
|
||||
pub fn gep(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
i: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Ptr<Item>> {
|
||||
let zero = ctx.ctx.i32_type().const_zero();
|
||||
let ptr = unsafe { ctx.builder.build_in_bounds_gep(self.value, &[zero, i], "").unwrap() };
|
||||
|
||||
unsafe { Ptr(self.model.0.item).believe_value(ptr) }
|
||||
}
|
||||
|
||||
/// Like `gep` but `i` is a constant.
|
||||
pub fn gep_const(&self, ctx: &CodeGenContext<'ctx, '_>, i: u64) -> Instance<'ctx, Ptr<Item>> {
|
||||
assert!(
|
||||
i < u64::from(self.model.0.len.length()),
|
||||
"Index {i} is out of bounds. Array length = {}",
|
||||
self.model.0.len.length()
|
||||
);
|
||||
|
||||
let i = ctx.ctx.i32_type().const_int(i, false);
|
||||
self.gep(ctx, i)
|
||||
}
|
||||
|
||||
/// Convenience function equivalent to `.gep(...).load(...)`.
|
||||
pub fn get<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
i: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Item> {
|
||||
self.gep(ctx, i).load(generator, ctx)
|
||||
}
|
||||
|
||||
/// Like `get` but `i` is a constant.
|
||||
pub fn get_const<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
i: u64,
|
||||
) -> Instance<'ctx, Item> {
|
||||
self.gep_const(ctx, i).load(generator, ctx)
|
||||
}
|
||||
|
||||
/// Convenience function equivalent to `.gep(...).store(...)`.
|
||||
pub fn set(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
i: IntValue<'ctx>,
|
||||
value: Instance<'ctx, Item>,
|
||||
) {
|
||||
self.gep(ctx, i).store(ctx, value);
|
||||
}
|
||||
|
||||
/// Like `set` but `i` is a constant.
|
||||
pub fn set_const(&self, ctx: &CodeGenContext<'ctx, '_>, i: u64, value: Instance<'ctx, Item>) {
|
||||
self.gep_const(ctx, i).store(ctx, value);
|
||||
}
|
||||
}
|
||||
207
nac3core/src/codegen/model/core.rs
Normal file
207
nac3core/src/codegen/model/core.rs
Normal file
@ -0,0 +1,207 @@
|
||||
use std::fmt;
|
||||
|
||||
use inkwell::{context::Context, types::*, values::*};
|
||||
use itertools::Itertools;
|
||||
|
||||
use super::*;
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
/// A error type for reporting any [`Model`]-related error (e.g., a [`BasicType`] mismatch).
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct ModelError(pub String);
|
||||
|
||||
impl ModelError {
|
||||
/// Append a context message to the error.
|
||||
pub(super) fn under_context(mut self, context: &str) -> Self {
|
||||
self.0.push_str(" ... in ");
|
||||
self.0.push_str(context);
|
||||
self
|
||||
}
|
||||
}
|
||||
|
||||
/// Trait for Rust structs identifying [`BasicType`]s in the context of a known [`CodeGenerator`] and [`CodeGenContext`].
|
||||
///
|
||||
/// For instance,
|
||||
/// - [`Int<Int32>`] identifies an [`IntType`] with 32-bits.
|
||||
/// - [`Int<SizeT>`] identifies an [`IntType`] with bit-width [`CodeGenerator::get_size_type`].
|
||||
/// - [`Ptr<Int<SizeT>>`] identifies a [`PointerType`] that points to an [`IntType`] with bit-width [`CodeGenerator::get_size_type`].
|
||||
/// - [`Int<AnyInt>`] identifies an [`IntType`] with bit-width of whatever is set in the [`AnyInt`] object.
|
||||
/// - [`Any`] identifies a [`BasicType`] set in the [`Any`] object itself.
|
||||
///
|
||||
/// You can get the [`BasicType`] out of a model with [`Model::get_type`].
|
||||
///
|
||||
/// Furthermore, [`Instance<'ctx, M>`] is a simple structure that carries a [`BasicValue`] with [`BasicType`] identified by model `M`.
|
||||
///
|
||||
/// The main purpose of this abstraction is to have a more Rust type-safe way to use Inkwell and give type-hints for programmers.
|
||||
///
|
||||
/// ### Notes on `Default` trait
|
||||
///
|
||||
/// For some models like [`Int<Int32>`] or [`Int<SizeT>`], they have a [`Default`] trait since just by looking at their types, it is possible
|
||||
/// to tell the [`BasicType`]s they are identifying.
|
||||
///
|
||||
/// This can be used to create strongly-typed interfaces accepting only values of a specific [`BasicType`] without having to worry about
|
||||
/// writing debug assertions to check, for example, if the programmer has passed in an [`IntValue`] with the wrong bit-width.
|
||||
/// ```ignore
|
||||
/// fn give_me_i32_and_get_a_size_t_back<'ctx>(i32: Instance<'ctx, Int<Int32>>) -> Instance<'ctx, Int<SizeT>> {
|
||||
/// // code...
|
||||
/// }
|
||||
/// ```
|
||||
///
|
||||
/// ### Notes on converting between Inkwell and model/ge.
|
||||
///
|
||||
/// Suppose you have an [`IntValue`], and you want to pass it into a function that takes a [`Instance<'ctx, Int<Int32>>`]. You can do use
|
||||
/// [`Model::check_value`] or [`Model::believe_value`].
|
||||
/// ```ignore
|
||||
/// let my_value: IntValue<'ctx>;
|
||||
///
|
||||
/// let my_value = Int(Int32).check_value(my_value).unwrap(); // Panics if `my_value` is not 32-bit with a descriptive error message.
|
||||
///
|
||||
/// // or, if you are absolutely certain that `my_value` is 32-bit and doing extra checks is a waste of time:
|
||||
/// let my_value = Int(Int32).believe_value(my_value);
|
||||
/// ```
|
||||
pub trait Model<'ctx>: fmt::Debug + Clone + Copy {
|
||||
/// The [`BasicType`] *variant* this model is identifying.
|
||||
type Type: BasicType<'ctx>;
|
||||
|
||||
/// The [`BasicValue`] type of the [`BasicType`] of this model.
|
||||
type Value: BasicValue<'ctx> + TryFrom<BasicValueEnum<'ctx>>;
|
||||
|
||||
/// Return the [`BasicType`] of this model.
|
||||
#[must_use]
|
||||
fn llvm_type<G: CodeGenerator + ?Sized>(&self, generator: &G, ctx: &'ctx Context)
|
||||
-> Self::Type;
|
||||
|
||||
/// Get the number of bytes of the [`BasicType`] of this model.
|
||||
fn size_of<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
) -> IntValue<'ctx> {
|
||||
self.llvm_type(generator, ctx).size_of().unwrap()
|
||||
}
|
||||
|
||||
/// Check if a [`BasicType`] matches the [`BasicType`] of this model.
|
||||
fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
ty: T,
|
||||
) -> Result<(), ModelError>;
|
||||
|
||||
/// Create an instance from a value.
|
||||
///
|
||||
/// # Safety
|
||||
///
|
||||
/// Caller must make sure the type of `value` and the type of this `model` are equivalent.
|
||||
#[must_use]
|
||||
unsafe fn believe_value(&self, value: Self::Value) -> Instance<'ctx, Self> {
|
||||
Instance { model: *self, value }
|
||||
}
|
||||
|
||||
/// Check if a [`BasicValue`]'s type is equivalent to the type of this model.
|
||||
/// Wrap the [`BasicValue`] into an [`Instance`] if it is.
|
||||
fn check_value<V: BasicValue<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
value: V,
|
||||
) -> Result<Instance<'ctx, Self>, ModelError> {
|
||||
let value = value.as_basic_value_enum();
|
||||
self.check_type(generator, ctx, value.get_type())
|
||||
.map_err(|err| err.under_context(format!("the value {value:?}").as_str()))?;
|
||||
|
||||
let Ok(value) = Self::Value::try_from(value) else {
|
||||
unreachable!("check_type() has bad implementation")
|
||||
};
|
||||
unsafe { Ok(self.believe_value(value)) }
|
||||
}
|
||||
|
||||
// Allocate a value on the stack and return its pointer.
|
||||
fn alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Ptr<Self>> {
|
||||
let p = ctx.builder.build_alloca(self.llvm_type(generator, ctx.ctx), "").unwrap();
|
||||
unsafe { Ptr(*self).believe_value(p) }
|
||||
}
|
||||
|
||||
// Allocate an array on the stack and return its pointer.
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
len: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Ptr<Self>> {
|
||||
let p =
|
||||
ctx.builder.build_array_alloca(self.llvm_type(generator, ctx.ctx), len, "").unwrap();
|
||||
unsafe { Ptr(*self).believe_value(p) }
|
||||
}
|
||||
|
||||
fn var_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&str>,
|
||||
) -> Result<Instance<'ctx, Ptr<Self>>, String> {
|
||||
let ty = self.llvm_type(generator, ctx.ctx).as_basic_type_enum();
|
||||
let p = generator.gen_var_alloc(ctx, ty, name)?;
|
||||
unsafe { Ok(Ptr(*self).believe_value(p)) }
|
||||
}
|
||||
|
||||
fn array_var_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
len: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Result<Instance<'ctx, Ptr<Self>>, String> {
|
||||
// TODO: Remove ArraySliceValue
|
||||
let ty = self.llvm_type(generator, ctx.ctx).as_basic_type_enum();
|
||||
let p = generator.gen_array_var_alloc(ctx, ty, len, name)?;
|
||||
unsafe { Ok(Ptr(*self).believe_value(PointerValue::from(p))) }
|
||||
}
|
||||
|
||||
/// Allocate a constant array.
|
||||
fn const_array<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
values: &[Instance<'ctx, Self>],
|
||||
) -> Instance<'ctx, Array<AnyLen, Self>> {
|
||||
macro_rules! make {
|
||||
($t:expr, $into_value:expr) => {
|
||||
$t.const_array(
|
||||
&values
|
||||
.iter()
|
||||
.map(|x| $into_value(x.value.as_basic_value_enum()))
|
||||
.collect_vec(),
|
||||
)
|
||||
};
|
||||
}
|
||||
|
||||
let value = match self.llvm_type(generator, ctx).as_basic_type_enum() {
|
||||
BasicTypeEnum::ArrayType(t) => make!(t, BasicValueEnum::into_array_value),
|
||||
BasicTypeEnum::IntType(t) => make!(t, BasicValueEnum::into_int_value),
|
||||
BasicTypeEnum::FloatType(t) => make!(t, BasicValueEnum::into_float_value),
|
||||
BasicTypeEnum::PointerType(t) => make!(t, BasicValueEnum::into_pointer_value),
|
||||
BasicTypeEnum::StructType(t) => make!(t, BasicValueEnum::into_struct_value),
|
||||
BasicTypeEnum::VectorType(t) => make!(t, BasicValueEnum::into_vector_value),
|
||||
};
|
||||
|
||||
Array { len: AnyLen(values.len() as u32), item: *self }
|
||||
.check_value(generator, ctx, value)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Instance<'ctx, M: Model<'ctx>> {
|
||||
/// The model of this instance.
|
||||
pub model: M,
|
||||
|
||||
/// The value of this instance.
|
||||
///
|
||||
/// It is guaranteed the [`BasicType`] of `value` is consistent with that of `model`.
|
||||
pub value: M::Value,
|
||||
}
|
||||
93
nac3core/src/codegen/model/float.rs
Normal file
93
nac3core/src/codegen/model/float.rs
Normal file
@ -0,0 +1,93 @@
|
||||
use std::fmt;
|
||||
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{BasicType, FloatType},
|
||||
values::FloatValue,
|
||||
};
|
||||
|
||||
use super::*;
|
||||
use crate::codegen::CodeGenerator;
|
||||
|
||||
pub trait FloatKind<'ctx>: fmt::Debug + Clone + Copy {
|
||||
fn get_float_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> FloatType<'ctx>;
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Float32;
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Float64;
|
||||
|
||||
impl<'ctx> FloatKind<'ctx> for Float32 {
|
||||
fn get_float_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> FloatType<'ctx> {
|
||||
ctx.f32_type()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> FloatKind<'ctx> for Float64 {
|
||||
fn get_float_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> FloatType<'ctx> {
|
||||
ctx.f64_type()
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct AnyFloat<'ctx>(FloatType<'ctx>);
|
||||
|
||||
impl<'ctx> FloatKind<'ctx> for AnyFloat<'ctx> {
|
||||
fn get_float_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
_ctx: &'ctx Context,
|
||||
) -> FloatType<'ctx> {
|
||||
self.0
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Float<N>(pub N);
|
||||
|
||||
impl<'ctx, N: FloatKind<'ctx>> Model<'ctx> for Float<N> {
|
||||
type Value = FloatValue<'ctx>;
|
||||
type Type = FloatType<'ctx>;
|
||||
|
||||
fn llvm_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Self::Type {
|
||||
self.0.get_float_type(generator, ctx)
|
||||
}
|
||||
|
||||
fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
ty: T,
|
||||
) -> Result<(), ModelError> {
|
||||
let ty = ty.as_basic_type_enum();
|
||||
let Ok(ty) = FloatType::try_from(ty) else {
|
||||
return Err(ModelError(format!("Expecting FloatType, but got {ty:?}")));
|
||||
};
|
||||
|
||||
let exp_ty = self.0.get_float_type(generator, ctx);
|
||||
|
||||
// TODO: Inkwell does not have get_bit_width for FloatType?
|
||||
if ty != exp_ty {
|
||||
return Err(ModelError(format!("Expecting {exp_ty:?}, but got {ty:?}")));
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
121
nac3core/src/codegen/model/function.rs
Normal file
121
nac3core/src/codegen/model/function.rs
Normal file
@ -0,0 +1,121 @@
|
||||
use inkwell::{
|
||||
attributes::{Attribute, AttributeLoc},
|
||||
types::{BasicMetadataTypeEnum, BasicType, FunctionType},
|
||||
values::{AnyValue, BasicMetadataValueEnum, BasicValue, BasicValueEnum, CallSiteValue},
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use super::*;
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
struct Arg<'ctx> {
|
||||
ty: BasicMetadataTypeEnum<'ctx>,
|
||||
val: BasicMetadataValueEnum<'ctx>,
|
||||
}
|
||||
|
||||
/// A convenience structure to construct & call an LLVM function.
|
||||
///
|
||||
/// ### Usage
|
||||
///
|
||||
/// The syntax is like this:
|
||||
/// ```ignore
|
||||
/// let result = CallFunction::begin("my_function_name")
|
||||
/// .attrs(...)
|
||||
/// .arg(arg1)
|
||||
/// .arg(arg2)
|
||||
/// .arg(arg3)
|
||||
/// .returning("my_function_result", Int32);
|
||||
/// ```
|
||||
///
|
||||
/// The function `my_function_name` is called when `.returning()` (or its variants) is called, returning
|
||||
/// the result as an `Instance<'ctx, Int<Int32>>`.
|
||||
///
|
||||
/// If `my_function_name` has not been declared in `ctx.module`, once `.returning()` is called, a function
|
||||
/// declaration of `my_function_name` is added to `ctx.module`, where the [`FunctionType`] is deduced from
|
||||
/// the argument types and returning type.
|
||||
pub struct FnCall<'ctx, 'a, 'b, 'c, 'd, G: CodeGenerator + ?Sized> {
|
||||
generator: &'d mut G,
|
||||
ctx: &'b CodeGenContext<'ctx, 'a>,
|
||||
/// Function name
|
||||
name: &'c str,
|
||||
/// Call arguments
|
||||
args: Vec<Arg<'ctx>>,
|
||||
/// LLVM function Attributes
|
||||
attrs: Vec<&'static str>,
|
||||
}
|
||||
|
||||
impl<'ctx, 'a, 'b, 'c, 'd, G: CodeGenerator + ?Sized> FnCall<'ctx, 'a, 'b, 'c, 'd, G> {
|
||||
pub fn builder(generator: &'d mut G, ctx: &'b CodeGenContext<'ctx, 'a>, name: &'c str) -> Self {
|
||||
FnCall { generator, ctx, name, args: Vec::new(), attrs: Vec::new() }
|
||||
}
|
||||
|
||||
/// Push a list of LLVM function attributes to the function declaration.
|
||||
#[must_use]
|
||||
pub fn attrs(mut self, attrs: Vec<&'static str>) -> Self {
|
||||
self.attrs = attrs;
|
||||
self
|
||||
}
|
||||
|
||||
/// Push a call argument to the function call.
|
||||
#[allow(clippy::needless_pass_by_value)]
|
||||
#[must_use]
|
||||
pub fn arg<M: Model<'ctx>>(mut self, arg: Instance<'ctx, M>) -> Self {
|
||||
let arg = Arg {
|
||||
ty: arg.model.llvm_type(self.generator, self.ctx.ctx).as_basic_type_enum().into(),
|
||||
val: arg.value.as_basic_value_enum().into(),
|
||||
};
|
||||
self.args.push(arg);
|
||||
self
|
||||
}
|
||||
|
||||
/// Call the function and expect the function to return a value of type of `return_model`.
|
||||
#[must_use]
|
||||
pub fn returning<M: Model<'ctx>>(self, name: &str, return_model: M) -> Instance<'ctx, M> {
|
||||
let ret_ty = return_model.llvm_type(self.generator, self.ctx.ctx);
|
||||
|
||||
let ret = self.call(|tys| ret_ty.fn_type(tys, false), name);
|
||||
let ret = BasicValueEnum::try_from(ret.as_any_value_enum()).unwrap(); // Must work
|
||||
let ret = return_model.check_value(self.generator, self.ctx.ctx, ret).unwrap(); // Must work
|
||||
ret
|
||||
}
|
||||
|
||||
/// Like [`CallFunction::returning_`] but `return_model` is automatically inferred.
|
||||
#[must_use]
|
||||
pub fn returning_auto<M: Model<'ctx> + Default>(self, name: &str) -> Instance<'ctx, M> {
|
||||
self.returning(name, M::default())
|
||||
}
|
||||
|
||||
/// Call the function and expect the function to return a void-type.
|
||||
pub fn returning_void(self) {
|
||||
let ret_ty = self.ctx.ctx.void_type();
|
||||
|
||||
let _ = self.call(|tys| ret_ty.fn_type(tys, false), "");
|
||||
}
|
||||
|
||||
fn call<F>(&self, make_fn_type: F, return_value_name: &str) -> CallSiteValue<'ctx>
|
||||
where
|
||||
F: FnOnce(&[BasicMetadataTypeEnum<'ctx>]) -> FunctionType<'ctx>,
|
||||
{
|
||||
// Get the LLVM function.
|
||||
let func = self.ctx.module.get_function(self.name).unwrap_or_else(|| {
|
||||
// Declare the function if it doesn't exist.
|
||||
let tys = self.args.iter().map(|arg| arg.ty).collect_vec();
|
||||
|
||||
let func_type = make_fn_type(&tys);
|
||||
let func = self.ctx.module.add_function(self.name, func_type, None);
|
||||
|
||||
for attr in &self.attrs {
|
||||
func.add_attribute(
|
||||
AttributeLoc::Function,
|
||||
self.ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
|
||||
);
|
||||
}
|
||||
|
||||
func
|
||||
});
|
||||
|
||||
let vals = self.args.iter().map(|arg| arg.val).collect_vec();
|
||||
self.ctx.builder.build_call(func, &vals, return_value_name).unwrap()
|
||||
}
|
||||
}
|
||||
421
nac3core/src/codegen/model/int.rs
Normal file
421
nac3core/src/codegen/model/int.rs
Normal file
@ -0,0 +1,421 @@
|
||||
use std::{cmp::Ordering, fmt};
|
||||
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{BasicType, IntType},
|
||||
values::IntValue,
|
||||
IntPredicate,
|
||||
};
|
||||
|
||||
use super::*;
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
pub trait IntKind<'ctx>: fmt::Debug + Clone + Copy {
|
||||
fn get_int_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> IntType<'ctx>;
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Bool;
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Byte;
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Int32;
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Int64;
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct SizeT;
|
||||
|
||||
impl<'ctx> IntKind<'ctx> for Bool {
|
||||
fn get_int_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> IntType<'ctx> {
|
||||
ctx.bool_type()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> IntKind<'ctx> for Byte {
|
||||
fn get_int_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> IntType<'ctx> {
|
||||
ctx.i8_type()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> IntKind<'ctx> for Int32 {
|
||||
fn get_int_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> IntType<'ctx> {
|
||||
ctx.i32_type()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> IntKind<'ctx> for Int64 {
|
||||
fn get_int_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> IntType<'ctx> {
|
||||
ctx.i64_type()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> IntKind<'ctx> for SizeT {
|
||||
fn get_int_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> IntType<'ctx> {
|
||||
generator.get_size_type(ctx)
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct AnyInt<'ctx>(pub IntType<'ctx>);
|
||||
|
||||
impl<'ctx> IntKind<'ctx> for AnyInt<'ctx> {
|
||||
fn get_int_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_generator: &G,
|
||||
_ctx: &'ctx Context,
|
||||
) -> IntType<'ctx> {
|
||||
self.0
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Int<N>(pub N);
|
||||
|
||||
impl<'ctx, N: IntKind<'ctx>> Model<'ctx> for Int<N> {
|
||||
type Value = IntValue<'ctx>;
|
||||
type Type = IntType<'ctx>;
|
||||
|
||||
fn llvm_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Self::Type {
|
||||
self.0.get_int_type(generator, ctx)
|
||||
}
|
||||
|
||||
fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
ty: T,
|
||||
) -> Result<(), ModelError> {
|
||||
let ty = ty.as_basic_type_enum();
|
||||
let Ok(ty) = IntType::try_from(ty) else {
|
||||
return Err(ModelError(format!("Expecting IntType, but got {ty:?}")));
|
||||
};
|
||||
|
||||
let exp_ty = self.0.get_int_type(generator, ctx);
|
||||
if ty.get_bit_width() != exp_ty.get_bit_width() {
|
||||
return Err(ModelError(format!(
|
||||
"Expecting IntType to have {} bit(s), but got {} bit(s)",
|
||||
exp_ty.get_bit_width(),
|
||||
ty.get_bit_width()
|
||||
)));
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, N: IntKind<'ctx>> Int<N> {
|
||||
pub fn const_int<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
value: u64,
|
||||
sign_extend: bool,
|
||||
) -> Instance<'ctx, Self> {
|
||||
let value = self.llvm_type(generator, ctx).const_int(value, sign_extend);
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn const_0<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Instance<'ctx, Self> {
|
||||
let value = self.llvm_type(generator, ctx).const_zero();
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn const_1<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Instance<'ctx, Self> {
|
||||
self.const_int(generator, ctx, 1, false)
|
||||
}
|
||||
|
||||
pub fn const_all_ones<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Instance<'ctx, Self> {
|
||||
let value = self.llvm_type(generator, ctx).const_all_ones();
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn s_extend_or_bit_cast<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Self> {
|
||||
assert!(
|
||||
value.get_type().get_bit_width()
|
||||
<= self.0.get_int_type(generator, ctx.ctx).get_bit_width()
|
||||
);
|
||||
let value = ctx
|
||||
.builder
|
||||
.build_int_s_extend_or_bit_cast(value, self.llvm_type(generator, ctx.ctx), "")
|
||||
.unwrap();
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn s_extend<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Self> {
|
||||
assert!(
|
||||
value.get_type().get_bit_width()
|
||||
< self.0.get_int_type(generator, ctx.ctx).get_bit_width()
|
||||
);
|
||||
let value =
|
||||
ctx.builder.build_int_s_extend(value, self.llvm_type(generator, ctx.ctx), "").unwrap();
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn z_extend_or_bit_cast<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Self> {
|
||||
assert!(
|
||||
value.get_type().get_bit_width()
|
||||
<= self.0.get_int_type(generator, ctx.ctx).get_bit_width()
|
||||
);
|
||||
let value = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(value, self.llvm_type(generator, ctx.ctx), "")
|
||||
.unwrap();
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn z_extend<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Self> {
|
||||
assert!(
|
||||
value.get_type().get_bit_width()
|
||||
< self.0.get_int_type(generator, ctx.ctx).get_bit_width()
|
||||
);
|
||||
let value =
|
||||
ctx.builder.build_int_z_extend(value, self.llvm_type(generator, ctx.ctx), "").unwrap();
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn truncate_or_bit_cast<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Self> {
|
||||
assert!(
|
||||
value.get_type().get_bit_width()
|
||||
>= self.0.get_int_type(generator, ctx.ctx).get_bit_width()
|
||||
);
|
||||
let value = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(value, self.llvm_type(generator, ctx.ctx), "")
|
||||
.unwrap();
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn truncate<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Self> {
|
||||
assert!(
|
||||
value.get_type().get_bit_width()
|
||||
> self.0.get_int_type(generator, ctx.ctx).get_bit_width()
|
||||
);
|
||||
let value =
|
||||
ctx.builder.build_int_truncate(value, self.llvm_type(generator, ctx.ctx), "").unwrap();
|
||||
unsafe { self.believe_value(value) }
|
||||
}
|
||||
|
||||
/// `sext` or `trunc` an int to this model's int type. Does nothing if equal bit-widths.
|
||||
pub fn s_extend_or_truncate<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Self> {
|
||||
let their_width = value.get_type().get_bit_width();
|
||||
let our_width = self.0.get_int_type(generator, ctx.ctx).get_bit_width();
|
||||
match their_width.cmp(&our_width) {
|
||||
Ordering::Less => self.s_extend(generator, ctx, value),
|
||||
Ordering::Equal => unsafe { self.believe_value(value) },
|
||||
Ordering::Greater => self.truncate(generator, ctx, value),
|
||||
}
|
||||
}
|
||||
|
||||
/// `zext` or `trunc` an int to this model's int type. Does nothing if equal bit-widths.
|
||||
pub fn z_extend_or_truncate<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Self> {
|
||||
let their_width = value.get_type().get_bit_width();
|
||||
let our_width = self.0.get_int_type(generator, ctx.ctx).get_bit_width();
|
||||
match their_width.cmp(&our_width) {
|
||||
Ordering::Less => self.z_extend(generator, ctx, value),
|
||||
Ordering::Equal => unsafe { self.believe_value(value) },
|
||||
Ordering::Greater => self.truncate(generator, ctx, value),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl Int<Bool> {
|
||||
#[must_use]
|
||||
pub fn const_false<'ctx, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Instance<'ctx, Self> {
|
||||
self.const_int(generator, ctx, 0, false)
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn const_true<'ctx, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Instance<'ctx, Self> {
|
||||
self.const_int(generator, ctx, 1, false)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, N: IntKind<'ctx>> Instance<'ctx, Int<N>> {
|
||||
pub fn s_extend_or_bit_cast<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
to_int_kind: NewN,
|
||||
) -> Instance<'ctx, Int<NewN>> {
|
||||
Int(to_int_kind).s_extend_or_bit_cast(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
pub fn s_extend<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
to_int_kind: NewN,
|
||||
) -> Instance<'ctx, Int<NewN>> {
|
||||
Int(to_int_kind).s_extend(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
pub fn z_extend_or_bit_cast<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
to_int_kind: NewN,
|
||||
) -> Instance<'ctx, Int<NewN>> {
|
||||
Int(to_int_kind).z_extend_or_bit_cast(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
pub fn z_extend<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
to_int_kind: NewN,
|
||||
) -> Instance<'ctx, Int<NewN>> {
|
||||
Int(to_int_kind).z_extend(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
pub fn truncate_or_bit_cast<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
to_int_kind: NewN,
|
||||
) -> Instance<'ctx, Int<NewN>> {
|
||||
Int(to_int_kind).truncate_or_bit_cast(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
pub fn truncate<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
to_int_kind: NewN,
|
||||
) -> Instance<'ctx, Int<NewN>> {
|
||||
Int(to_int_kind).truncate(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
pub fn s_extend_or_truncate<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
to_int_kind: NewN,
|
||||
) -> Instance<'ctx, Int<NewN>> {
|
||||
Int(to_int_kind).s_extend_or_truncate(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
pub fn z_extend_or_truncate<NewN: IntKind<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
to_int_kind: NewN,
|
||||
) -> Instance<'ctx, Int<NewN>> {
|
||||
Int(to_int_kind).z_extend_or_truncate(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn add(&self, ctx: &CodeGenContext<'ctx, '_>, other: Self) -> Self {
|
||||
let value = ctx.builder.build_int_add(self.value, other.value, "").unwrap();
|
||||
unsafe { self.model.believe_value(value) }
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn sub(&self, ctx: &CodeGenContext<'ctx, '_>, other: Self) -> Self {
|
||||
let value = ctx.builder.build_int_sub(self.value, other.value, "").unwrap();
|
||||
unsafe { self.model.believe_value(value) }
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn mul(&self, ctx: &CodeGenContext<'ctx, '_>, other: Self) -> Self {
|
||||
let value = ctx.builder.build_int_mul(self.value, other.value, "").unwrap();
|
||||
unsafe { self.model.believe_value(value) }
|
||||
}
|
||||
|
||||
pub fn compare(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
op: IntPredicate,
|
||||
other: Self,
|
||||
) -> Instance<'ctx, Int<Bool>> {
|
||||
let value = ctx.builder.build_int_compare(op, self.value, other.value, "").unwrap();
|
||||
unsafe { Int(Bool).believe_value(value) }
|
||||
}
|
||||
}
|
||||
17
nac3core/src/codegen/model/mod.rs
Normal file
17
nac3core/src/codegen/model/mod.rs
Normal file
@ -0,0 +1,17 @@
|
||||
mod any;
|
||||
mod array;
|
||||
mod core;
|
||||
mod float;
|
||||
pub mod function;
|
||||
mod int;
|
||||
mod ptr;
|
||||
mod structure;
|
||||
pub mod util;
|
||||
|
||||
pub use any::*;
|
||||
pub use array::*;
|
||||
pub use core::*;
|
||||
pub use float::*;
|
||||
pub use int::*;
|
||||
pub use ptr::*;
|
||||
pub use structure::*;
|
||||
213
nac3core/src/codegen/model/ptr.rs
Normal file
213
nac3core/src/codegen/model/ptr.rs
Normal file
@ -0,0 +1,213 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{BasicType, BasicTypeEnum, PointerType},
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use super::*;
|
||||
use crate::codegen::{llvm_intrinsics::call_memcpy_generic, CodeGenContext, CodeGenerator};
|
||||
|
||||
/// A model for [`PointerType`].
|
||||
///
|
||||
/// `Item` is the element type this pointer is pointing to, and should be of a [`Model`].
|
||||
///
|
||||
// TODO: LLVM 15: `Item` is a Rust type-hint for the LLVM type of value the `.store()/.load()` family
|
||||
// of functions return. If a truly opaque pointer is needed, tell the programmer to use `OpaquePtr`.
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Ptr<Item>(pub Item);
|
||||
|
||||
/// An opaque pointer. Like [`Ptr`] but without any Rust type-hints about its element type.
|
||||
///
|
||||
/// `.load()/.store()` is not available for [`Instance`]s of opaque pointers.
|
||||
pub type OpaquePtr = Ptr<()>;
|
||||
|
||||
// TODO: LLVM 15: `Item: Model<'ctx>` don't even need to be a model anymore. It will only be
|
||||
// a type-hint for the `.load()/.store()` functions for the `pointee_ty`.
|
||||
//
|
||||
// See https://thedan64.github.io/inkwell/inkwell/builder/struct.Builder.html#method.build_load.
|
||||
impl<'ctx, Item: Model<'ctx>> Model<'ctx> for Ptr<Item> {
|
||||
type Value = PointerValue<'ctx>;
|
||||
type Type = PointerType<'ctx>;
|
||||
|
||||
fn llvm_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Self::Type {
|
||||
// TODO: LLVM 15: ctx.ptr_type(AddressSpace::default())
|
||||
self.0.llvm_type(generator, ctx).ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
ty: T,
|
||||
) -> Result<(), ModelError> {
|
||||
let ty = ty.as_basic_type_enum();
|
||||
let Ok(ty) = PointerType::try_from(ty) else {
|
||||
return Err(ModelError(format!("Expecting PointerType, but got {ty:?}")));
|
||||
};
|
||||
|
||||
let elem_ty = ty.get_element_type();
|
||||
let Ok(elem_ty) = BasicTypeEnum::try_from(elem_ty) else {
|
||||
return Err(ModelError(format!(
|
||||
"Expecting pointer element type to be a BasicTypeEnum, but got {elem_ty:?}"
|
||||
)));
|
||||
};
|
||||
|
||||
// TODO: inkwell `get_element_type()` will be deprecated.
|
||||
// Remove the check for `get_element_type()` when the time comes.
|
||||
self.0
|
||||
.check_type(generator, ctx, elem_ty)
|
||||
.map_err(|err| err.under_context("a PointerType"))?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, Item: Model<'ctx>> Ptr<Item> {
|
||||
/// Return a ***constant*** nullptr.
|
||||
pub fn nullptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Instance<'ctx, Ptr<Item>> {
|
||||
let ptr = self.llvm_type(generator, ctx).const_null();
|
||||
unsafe { self.believe_value(ptr) }
|
||||
}
|
||||
|
||||
/// Cast a pointer into this model with [`inkwell::builder::Builder::build_pointer_cast`]
|
||||
pub fn pointer_cast<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ptr: PointerValue<'ctx>,
|
||||
) -> Instance<'ctx, Ptr<Item>> {
|
||||
// TODO: LLVM 15: Write in an impl where `Item` does not have to be `Model<'ctx>`.
|
||||
// TODO: LLVM 15: This function will only have to be:
|
||||
// ```
|
||||
// return self.believe_value(ptr);
|
||||
// ```
|
||||
let t = self.llvm_type(generator, ctx.ctx);
|
||||
let ptr = ctx.builder.build_pointer_cast(ptr, t, "").unwrap();
|
||||
unsafe { self.believe_value(ptr) }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, Item: Model<'ctx>> Instance<'ctx, Ptr<Item>> {
|
||||
/// Offset the pointer by [`inkwell::builder::Builder::build_in_bounds_gep`].
|
||||
#[must_use]
|
||||
pub fn offset(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
offset: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Ptr<Item>> {
|
||||
let p = unsafe { ctx.builder.build_in_bounds_gep(self.value, &[offset], "").unwrap() };
|
||||
unsafe { self.model.believe_value(p) }
|
||||
}
|
||||
|
||||
/// Offset the pointer by [`inkwell::builder::Builder::build_in_bounds_gep`] by a constant offset.
|
||||
#[must_use]
|
||||
pub fn offset_const(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
offset: i64,
|
||||
) -> Instance<'ctx, Ptr<Item>> {
|
||||
let offset = ctx.ctx.i32_type().const_int(offset as u64, true);
|
||||
self.offset(ctx, offset)
|
||||
}
|
||||
|
||||
pub fn set_index(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
index: IntValue<'ctx>,
|
||||
value: Instance<'ctx, Item>,
|
||||
) {
|
||||
self.offset(ctx, index).store(ctx, value);
|
||||
}
|
||||
|
||||
pub fn set_index_const(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
index: i64,
|
||||
value: Instance<'ctx, Item>,
|
||||
) {
|
||||
self.offset_const(ctx, index).store(ctx, value);
|
||||
}
|
||||
|
||||
pub fn get_index<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
index: IntValue<'ctx>,
|
||||
) -> Instance<'ctx, Item> {
|
||||
self.offset(ctx, index).load(generator, ctx)
|
||||
}
|
||||
|
||||
pub fn get_index_const<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
index: i64,
|
||||
) -> Instance<'ctx, Item> {
|
||||
self.offset_const(ctx, index).load(generator, ctx)
|
||||
}
|
||||
|
||||
/// Load the value with [`inkwell::builder::Builder::build_load`].
|
||||
pub fn load<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Item> {
|
||||
let value = ctx.builder.build_load(self.value, "").unwrap();
|
||||
self.model.0.check_value(generator, ctx.ctx, value).unwrap() // If unwrap() panics, there is a logic error.
|
||||
}
|
||||
|
||||
/// Store a value with [`inkwell::builder::Builder::build_store`].
|
||||
pub fn store(&self, ctx: &CodeGenContext<'ctx, '_>, value: Instance<'ctx, Item>) {
|
||||
ctx.builder.build_store(self.value, value.value).unwrap();
|
||||
}
|
||||
|
||||
/// Return a casted pointer of element type `NewElement` with [`inkwell::builder::Builder::build_pointer_cast`].
|
||||
pub fn pointer_cast<NewItem: Model<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
new_item: NewItem,
|
||||
) -> Instance<'ctx, Ptr<NewItem>> {
|
||||
// TODO: LLVM 15: Write in an impl where `Item` does not have to be `Model<'ctx>`.
|
||||
Ptr(new_item).pointer_cast(generator, ctx, self.value)
|
||||
}
|
||||
|
||||
/// Check if the pointer is null with [`inkwell::builder::Builder::build_is_null`].
|
||||
pub fn is_null(&self, ctx: &CodeGenContext<'ctx, '_>) -> Instance<'ctx, Int<Bool>> {
|
||||
let value = ctx.builder.build_is_null(self.value, "").unwrap();
|
||||
unsafe { Int(Bool).believe_value(value) }
|
||||
}
|
||||
|
||||
/// Check if the pointer is not null with [`inkwell::builder::Builder::build_is_not_null`].
|
||||
pub fn is_not_null(&self, ctx: &CodeGenContext<'ctx, '_>) -> Instance<'ctx, Int<Bool>> {
|
||||
let value = ctx.builder.build_is_not_null(self.value, "").unwrap();
|
||||
unsafe { Int(Bool).believe_value(value) }
|
||||
}
|
||||
|
||||
/// `memcpy` from another pointer.
|
||||
pub fn copy_from<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
source: Self,
|
||||
num_items: IntValue<'ctx>,
|
||||
) {
|
||||
// Force extend `num_items` and `itemsize` to `i64` so their types would match.
|
||||
let itemsize = self.model.size_of(generator, ctx.ctx);
|
||||
let itemsize = Int(SizeT).z_extend_or_truncate(generator, ctx, itemsize);
|
||||
let num_items = Int(SizeT).z_extend_or_truncate(generator, ctx, num_items);
|
||||
let totalsize = itemsize.mul(ctx, num_items);
|
||||
|
||||
let is_volatile = ctx.ctx.bool_type().const_zero(); // is_volatile = false
|
||||
call_memcpy_generic(ctx, self.value, source.value, totalsize.value, is_volatile);
|
||||
}
|
||||
}
|
||||
363
nac3core/src/codegen/model/structure.rs
Normal file
363
nac3core/src/codegen/model/structure.rs
Normal file
@ -0,0 +1,363 @@
|
||||
use std::fmt;
|
||||
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{BasicType, BasicTypeEnum, StructType},
|
||||
values::{BasicValueEnum, StructValue},
|
||||
};
|
||||
|
||||
use super::*;
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
/// A traveral that traverses a Rust `struct` that is used to declare an LLVM's struct's field types.
|
||||
pub trait FieldTraversal<'ctx> {
|
||||
/// Output type of [`FieldTraversal::add`].
|
||||
type Output<M>;
|
||||
|
||||
/// Traverse through the type of a declared field and do something with it.
|
||||
///
|
||||
/// * `name` - The cosmetic name of the LLVM field. Used for debugging.
|
||||
/// * `model` - The [`Model`] representing the LLVM type of this field.
|
||||
fn add<M: Model<'ctx>>(&mut self, name: &'static str, model: M) -> Self::Output<M>;
|
||||
|
||||
/// Like [`FieldTraversal::add`] but [`Model`] is automatically inferred from its [`Default`] trait.
|
||||
fn add_auto<M: Model<'ctx> + Default>(&mut self, name: &'static str) -> Self::Output<M> {
|
||||
self.add(name, M::default())
|
||||
}
|
||||
}
|
||||
|
||||
/// Descriptor of an LLVM struct field.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct GepField<M> {
|
||||
/// The GEP index of this field. This is the index to use with `build_gep`.
|
||||
pub gep_index: u32,
|
||||
/// The cosmetic name of this field.
|
||||
pub name: &'static str,
|
||||
/// The [`Model`] of this field's type.
|
||||
pub model: M,
|
||||
}
|
||||
|
||||
/// A traversal to calculate the GEP index of fields.
|
||||
pub struct GepFieldTraversal {
|
||||
/// The current GEP index.
|
||||
gep_index_counter: u32,
|
||||
}
|
||||
|
||||
impl<'ctx> FieldTraversal<'ctx> for GepFieldTraversal {
|
||||
type Output<M> = GepField<M>;
|
||||
|
||||
fn add<M: Model<'ctx>>(&mut self, name: &'static str, model: M) -> Self::Output<M> {
|
||||
let gep_index = self.gep_index_counter;
|
||||
self.gep_index_counter += 1;
|
||||
Self::Output { gep_index, name, model }
|
||||
}
|
||||
}
|
||||
|
||||
/// A traversal to collect the field types of a struct.
|
||||
///
|
||||
/// This is used to collect field types and construct the LLVM struct type with [`Context::struct_type`].
|
||||
struct TypeFieldTraversal<'ctx, 'a, G: CodeGenerator + ?Sized> {
|
||||
generator: &'a G,
|
||||
ctx: &'ctx Context,
|
||||
/// The collected field types so far in exact order.
|
||||
field_types: Vec<BasicTypeEnum<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx, 'a, G: CodeGenerator + ?Sized> FieldTraversal<'ctx> for TypeFieldTraversal<'ctx, 'a, G> {
|
||||
type Output<M> = (); // Checking types return nothing.
|
||||
|
||||
fn add<M: Model<'ctx>>(&mut self, _name: &'static str, model: M) -> Self::Output<M> {
|
||||
let t = model.llvm_type(self.generator, self.ctx).as_basic_type_enum();
|
||||
self.field_types.push(t);
|
||||
}
|
||||
}
|
||||
|
||||
/// A traversal to check the types of fields.
|
||||
struct CheckTypeFieldTraversal<'ctx, 'a, G: CodeGenerator + ?Sized> {
|
||||
generator: &'a mut G,
|
||||
ctx: &'ctx Context,
|
||||
/// The current GEP index, so we can tell the index of the field we are checking
|
||||
/// and report the GEP index.
|
||||
gep_index_counter: u32,
|
||||
/// The [`StructType`] to check.
|
||||
scrutinee: StructType<'ctx>,
|
||||
/// The list of collected errors so far.
|
||||
errors: Vec<ModelError>,
|
||||
}
|
||||
|
||||
impl<'ctx, 'a, G: CodeGenerator + ?Sized> FieldTraversal<'ctx>
|
||||
for CheckTypeFieldTraversal<'ctx, 'a, G>
|
||||
{
|
||||
type Output<M> = (); // Checking types return nothing.
|
||||
|
||||
fn add<M: Model<'ctx>>(&mut self, name: &'static str, model: M) -> Self::Output<M> {
|
||||
let gep_index = self.gep_index_counter;
|
||||
self.gep_index_counter += 1;
|
||||
|
||||
if let Some(t) = self.scrutinee.get_field_type_at_index(gep_index) {
|
||||
if let Err(err) = model.check_type(self.generator, self.ctx, t) {
|
||||
self.errors
|
||||
.push(err.under_context(format!("field #{gep_index} '{name}'").as_str()));
|
||||
}
|
||||
}
|
||||
// Otherwise, it will be caught by Struct's `check_type`.
|
||||
}
|
||||
}
|
||||
|
||||
/// A trait for Rust structs identifying LLVM structures.
|
||||
///
|
||||
/// ### Example
|
||||
///
|
||||
/// Suppose you want to define this structure:
|
||||
/// ```c
|
||||
/// template <typename T>
|
||||
/// struct ContiguousNDArray {
|
||||
/// size_t ndims;
|
||||
/// size_t* shape;
|
||||
/// T* data;
|
||||
/// }
|
||||
/// ```
|
||||
///
|
||||
/// This is how it should be done:
|
||||
/// ```ignore
|
||||
/// pub struct ContiguousNDArrayFields<'ctx, F: FieldTraversal<'ctx>, Item: Model<'ctx>> {
|
||||
/// pub ndims: F::Out<Int<SizeT>>,
|
||||
/// pub shape: F::Out<Ptr<Int<SizeT>>>,
|
||||
/// pub data: F::Out<Ptr<Item>>,
|
||||
/// }
|
||||
///
|
||||
/// /// An ndarray without strides and non-opaque `data` field in NAC3.
|
||||
/// #[derive(Debug, Clone, Copy)]
|
||||
/// pub struct ContiguousNDArray<M> {
|
||||
/// /// [`Model`] of the items.
|
||||
/// pub item: M,
|
||||
/// }
|
||||
///
|
||||
/// impl<'ctx, Item: Model<'ctx>> StructKind<'ctx> for ContiguousNDArray<Item> {
|
||||
/// type Fields<F: FieldTraversal<'ctx>> = ContiguousNDArrayFields<'ctx, F, Item>;
|
||||
///
|
||||
/// fn traverse_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
|
||||
/// // The order of `traversal.add*` is important
|
||||
/// Self::Fields {
|
||||
/// ndims: traversal.add_auto("ndims"),
|
||||
/// shape: traversal.add_auto("shape"),
|
||||
/// data: traversal.add("data", Ptr(self.item)),
|
||||
/// }
|
||||
/// }
|
||||
/// }
|
||||
/// ```
|
||||
///
|
||||
/// The [`FieldTraversal`] here is a mechanism to allow the fields of `ContiguousNDArrayFields` to be
|
||||
/// traversed to do useful work such as:
|
||||
///
|
||||
/// - To create the [`StructType`] of `ContiguousNDArray` by collecting [`BasicType`]s of the fields.
|
||||
/// - To enable the `.gep(ctx, |f| f.ndims).store(ctx, ...)` syntax.
|
||||
///
|
||||
/// Suppose now that you have defined `ContiguousNDArray` and you want to allocate a `ContiguousNDArray`
|
||||
/// with dtype `float64` in LLVM, this is how you do it:
|
||||
/// ```ignore
|
||||
/// type F64NDArray = Struct<ContiguousNDArray<Float<Float64>>>; // Type alias for leaner documentation
|
||||
/// let model: F64NDArray = Struct(ContigousNDArray { item: Float(Float64) });
|
||||
/// let ndarray: Instance<'ctx, Ptr<F64NDArray>> = model.alloca(generator, ctx);
|
||||
/// ```
|
||||
///
|
||||
/// ...and here is how you may manipulate/access `ndarray`:
|
||||
///
|
||||
/// (NOTE: some arguments have been omitted)
|
||||
///
|
||||
/// ```ignore
|
||||
/// // Get `&ndarray->data`
|
||||
/// ndarray.gep(|f| f.data); // type: Instance<'ctx, Ptr<Float<Float64>>>
|
||||
///
|
||||
/// // Get `ndarray->ndims`
|
||||
/// ndarray.get(|f| f.ndims); // type: Instance<'ctx, Int<SizeT>>
|
||||
///
|
||||
/// // Get `&ndarray->ndims`
|
||||
/// ndarray.gep(|f| f.ndims); // type: Instance<'ctx, Ptr<Int<SizeT>>>
|
||||
///
|
||||
/// // Get `ndarray->shape[0]`
|
||||
/// ndarray.get(|f| f.shape).get_index_const(0); // Instance<'ctx, Int<SizeT>>
|
||||
///
|
||||
/// // Get `&ndarray->shape[2]`
|
||||
/// ndarray.get(|f| f.shape).offset_const(2); // Instance<'ctx, Ptr<Int<SizeT>>>
|
||||
///
|
||||
/// // Do `ndarray->ndims = 3;`
|
||||
/// let num_3 = Int(SizeT).const_int(3);
|
||||
/// ndarray.set(|f| f.ndims, num_3);
|
||||
/// ```
|
||||
pub trait StructKind<'ctx>: fmt::Debug + Clone + Copy {
|
||||
/// The associated fields of this struct.
|
||||
type Fields<F: FieldTraversal<'ctx>>;
|
||||
|
||||
/// Traverse through all fields of this [`StructKind`].
|
||||
///
|
||||
/// Only used internally in this module for implementing other components.
|
||||
fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F>;
|
||||
|
||||
/// Get a convenience structure to get a struct field's GEP index through its corresponding Rust field.
|
||||
///
|
||||
/// Only used internally in this module for implementing other components.
|
||||
fn fields(&self) -> Self::Fields<GepFieldTraversal> {
|
||||
self.iter_fields(&mut GepFieldTraversal { gep_index_counter: 0 })
|
||||
}
|
||||
|
||||
/// Get the LLVM [`StructType`] of this [`StructKind`].
|
||||
fn get_struct_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> StructType<'ctx> {
|
||||
let mut traversal = TypeFieldTraversal { generator, ctx, field_types: Vec::new() };
|
||||
self.iter_fields(&mut traversal);
|
||||
|
||||
ctx.struct_type(&traversal.field_types, false)
|
||||
}
|
||||
}
|
||||
|
||||
/// A model for LLVM struct.
|
||||
///
|
||||
/// `S` should be of a [`StructKind`].
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Struct<S>(pub S);
|
||||
|
||||
impl<'ctx, S: StructKind<'ctx>> Struct<S> {
|
||||
/// Create a constant struct value from its fields.
|
||||
///
|
||||
/// This function also validates `fields` and panic when there is something wrong.
|
||||
pub fn const_struct<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
fields: &[BasicValueEnum<'ctx>],
|
||||
) -> Instance<'ctx, Self> {
|
||||
// NOTE: There *could* have been a functor `F<M> = Instance<'ctx, M>` for `S::Fields<F>`
|
||||
// to create a more user-friendly interface, but Rust's type system is not sophisticated enough
|
||||
// and if you try doing that Rust would force you put lifetimes everywhere.
|
||||
let val = ctx.const_struct(fields, false);
|
||||
self.check_value(generator, ctx, val).unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, S: StructKind<'ctx>> Model<'ctx> for Struct<S> {
|
||||
type Value = StructValue<'ctx>;
|
||||
type Type = StructType<'ctx>;
|
||||
|
||||
fn llvm_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Self::Type {
|
||||
self.0.get_struct_type(generator, ctx)
|
||||
}
|
||||
|
||||
fn check_type<T: BasicType<'ctx>, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
ty: T,
|
||||
) -> Result<(), ModelError> {
|
||||
let ty = ty.as_basic_type_enum();
|
||||
let Ok(ty) = StructType::try_from(ty) else {
|
||||
return Err(ModelError(format!("Expecting StructType, but got {ty:?}")));
|
||||
};
|
||||
|
||||
// Check each field individually.
|
||||
let mut traversal = CheckTypeFieldTraversal {
|
||||
generator,
|
||||
ctx,
|
||||
gep_index_counter: 0,
|
||||
errors: Vec::new(),
|
||||
scrutinee: ty,
|
||||
};
|
||||
self.0.iter_fields(&mut traversal);
|
||||
|
||||
// Check the number of fields.
|
||||
let exp_num_fields = traversal.gep_index_counter;
|
||||
let got_num_fields = u32::try_from(ty.get_field_types().len()).unwrap();
|
||||
if exp_num_fields != got_num_fields {
|
||||
return Err(ModelError(format!(
|
||||
"Expecting StructType with {exp_num_fields} field(s), but got {got_num_fields}"
|
||||
)));
|
||||
}
|
||||
|
||||
if !traversal.errors.is_empty() {
|
||||
// Currently, only the first error is reported.
|
||||
return Err(traversal.errors[0].clone());
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, S: StructKind<'ctx>> Instance<'ctx, Struct<S>> {
|
||||
/// Get a field with [`StructValue::get_field_at_index`].
|
||||
pub fn get_field<G: CodeGenerator + ?Sized, M, GetField>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
get_field: GetField,
|
||||
) -> Instance<'ctx, M>
|
||||
where
|
||||
M: Model<'ctx>,
|
||||
GetField: FnOnce(S::Fields<GepFieldTraversal>) -> GepField<M>,
|
||||
{
|
||||
let field = get_field(self.model.0.fields());
|
||||
let val = self.value.get_field_at_index(field.gep_index).unwrap();
|
||||
field.model.check_value(generator, ctx, val).unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, S: StructKind<'ctx>> Instance<'ctx, Ptr<Struct<S>>> {
|
||||
/// Get a pointer to a field with [`Builder::build_in_bounds_gep`].
|
||||
pub fn gep<M, GetField>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
get_field: GetField,
|
||||
) -> Instance<'ctx, Ptr<M>>
|
||||
where
|
||||
M: Model<'ctx>,
|
||||
GetField: FnOnce(S::Fields<GepFieldTraversal>) -> GepField<M>,
|
||||
{
|
||||
let field = get_field(self.model.0 .0.fields());
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
|
||||
let ptr = unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.value,
|
||||
&[llvm_i32.const_zero(), llvm_i32.const_int(u64::from(field.gep_index), false)],
|
||||
field.name,
|
||||
)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
unsafe { Ptr(field.model).believe_value(ptr) }
|
||||
}
|
||||
|
||||
/// Convenience function equivalent to `.gep(...).load(...)`.
|
||||
pub fn get<M, GetField, G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
get_field: GetField,
|
||||
) -> Instance<'ctx, M>
|
||||
where
|
||||
M: Model<'ctx>,
|
||||
GetField: FnOnce(S::Fields<GepFieldTraversal>) -> GepField<M>,
|
||||
{
|
||||
self.gep(ctx, get_field).load(generator, ctx)
|
||||
}
|
||||
|
||||
/// Convenience function equivalent to `.gep(...).store(...)`.
|
||||
pub fn set<M, GetField>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
get_field: GetField,
|
||||
value: Instance<'ctx, M>,
|
||||
) where
|
||||
M: Model<'ctx>,
|
||||
GetField: FnOnce(S::Fields<GepFieldTraversal>) -> GepField<M>,
|
||||
{
|
||||
self.gep(ctx, get_field).store(ctx, value);
|
||||
}
|
||||
}
|
||||
41
nac3core/src/codegen/model/util.rs
Normal file
41
nac3core/src/codegen/model/util.rs
Normal file
@ -0,0 +1,41 @@
|
||||
use super::*;
|
||||
use crate::codegen::{
|
||||
stmt::{gen_for_callback_incrementing, BreakContinueHooks},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Like [`gen_for_callback_incrementing`] with [`Model`] abstractions.
|
||||
///
|
||||
/// The value for `stop` is exclusive.
|
||||
pub fn gen_for_model<'ctx, 'a, G, F, N>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, 'a>,
|
||||
start: Instance<'ctx, Int<N>>,
|
||||
stop: Instance<'ctx, Int<N>>,
|
||||
step: Instance<'ctx, Int<N>>,
|
||||
body: F,
|
||||
) -> Result<(), String>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
F: FnOnce(
|
||||
&mut G,
|
||||
&mut CodeGenContext<'ctx, 'a>,
|
||||
BreakContinueHooks<'ctx>,
|
||||
Instance<'ctx, Int<N>>,
|
||||
) -> Result<(), String>,
|
||||
N: IntKind<'ctx> + Default,
|
||||
{
|
||||
let int_model = Int(N::default());
|
||||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
start.value,
|
||||
(stop.value, false),
|
||||
|g, ctx, hooks, i| {
|
||||
let i = unsafe { int_model.believe_value(i) };
|
||||
body(g, ctx, hooks, i)
|
||||
},
|
||||
step.value,
|
||||
)
|
||||
}
|
||||
@ -3,39 +3,64 @@ use inkwell::{
|
||||
values::{BasicValue, BasicValueEnum, IntValue, PointerValue},
|
||||
AddressSpace, IntPredicate, OptimizationLevel,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3parser::ast::{Operator, StrRef};
|
||||
|
||||
use super::{
|
||||
use crate::{
|
||||
codegen::{
|
||||
classes::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ListType, ListValue, NDArrayType, NDArrayValue,
|
||||
ProxyType, ProxyValue, TypedArrayLikeAccessor, TypedArrayLikeAdapter,
|
||||
TypedArrayLikeMutator, UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
|
||||
},
|
||||
expr::gen_binop_expr_with_values,
|
||||
irrt::{
|
||||
calculate_len_for_slice_range,
|
||||
ndarray::{
|
||||
call_ndarray_calc_broadcast, call_ndarray_calc_broadcast_index,
|
||||
call_ndarray_calc_nd_indices, call_ndarray_calc_size,
|
||||
},
|
||||
calculate_len_for_slice_range, call_ndarray_calc_broadcast,
|
||||
call_ndarray_calc_broadcast_index, call_ndarray_calc_nd_indices,
|
||||
call_ndarray_calc_size,
|
||||
},
|
||||
llvm_intrinsics::{self, call_memcpy_generic},
|
||||
macros::codegen_unreachable,
|
||||
stmt::{gen_for_callback_incrementing, gen_for_range_callback, gen_if_else_expr_callback},
|
||||
types::{ndarray::NDArrayType, ListType, ProxyType},
|
||||
values::{
|
||||
ndarray::NDArrayValue, ArrayLikeIndexer, ArrayLikeValue, ListValue, ProxyValue,
|
||||
TypedArrayLikeAccessor, TypedArrayLikeAdapter, TypedArrayLikeMutator,
|
||||
UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
|
||||
object::{
|
||||
any::AnyObject,
|
||||
ndarray::{shape_util::parse_numpy_int_sequence, NDArrayObject},
|
||||
},
|
||||
stmt::{gen_for_callback_incrementing, gen_for_range_callback, gen_if_else_expr_callback},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
use crate::{
|
||||
},
|
||||
symbol_resolver::ValueEnum,
|
||||
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, DefinitionId},
|
||||
toplevel::{
|
||||
helper::{extract_ndims, PrimDef},
|
||||
numpy::{make_ndarray_ty, unpack_ndarray_var_tys},
|
||||
DefinitionId,
|
||||
},
|
||||
typecheck::{
|
||||
magic_methods::Binop,
|
||||
typedef::{FunSignature, Type, TypeEnum},
|
||||
},
|
||||
};
|
||||
|
||||
/// Creates an uninitialized `NDArray` instance.
|
||||
fn create_ndarray_uninitialized<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_ty: Type,
|
||||
) -> Result<NDArrayValue<'ctx>, String> {
|
||||
let ndarray_ty = make_ndarray_ty(&mut ctx.unifier, &ctx.primitives, Some(elem_ty), None);
|
||||
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let llvm_ndarray_t = ctx
|
||||
.get_llvm_type(generator, ndarray_ty)
|
||||
.into_pointer_type()
|
||||
.get_element_type()
|
||||
.into_struct_type();
|
||||
|
||||
let ndarray = generator.gen_var_alloc(ctx, llvm_ndarray_t.into(), None)?;
|
||||
|
||||
Ok(NDArrayValue::from_ptr_val(ndarray, llvm_usize, None))
|
||||
}
|
||||
|
||||
/// Creates an `NDArray` instance from a dynamic shape.
|
||||
///
|
||||
/// * `elem_ty` - The element type of the `NDArray`.
|
||||
@ -61,7 +86,6 @@ where
|
||||
) -> Result<IntValue<'ctx>, String>,
|
||||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
// Assert that all dimensions are non-negative
|
||||
let shape_len = shape_len_fn(generator, ctx, shape)?;
|
||||
@ -94,17 +118,20 @@ where
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
// TODO: Disallow shape > u32_MAX
|
||||
// TODO: Disallow dim_sz > u32_MAX
|
||||
|
||||
Ok(())
|
||||
},
|
||||
llvm_usize.const_int(1, false),
|
||||
)?;
|
||||
|
||||
let num_dims = shape_len_fn(generator, ctx, shape)?;
|
||||
let ndarray = create_ndarray_uninitialized(generator, ctx, elem_ty)?;
|
||||
|
||||
let ndarray = NDArrayType::new(generator, ctx.ctx, llvm_elem_ty, None)
|
||||
.construct_dyn_ndims(generator, ctx, num_dims, None);
|
||||
let num_dims = shape_len_fn(generator, ctx, shape)?;
|
||||
ndarray.store_ndims(ctx, generator, num_dims);
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
|
||||
|
||||
// Copy the dimension sizes from shape to ndarray.dims
|
||||
let shape_len = shape_len_fn(generator, ctx, shape)?;
|
||||
@ -120,7 +147,7 @@ where
|
||||
let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
|
||||
|
||||
let ndarray_pdim =
|
||||
unsafe { ndarray.shape().ptr_offset_unchecked(ctx, generator, &i, None) };
|
||||
unsafe { ndarray.dim_sizes().ptr_offset_unchecked(ctx, generator, &i, None) };
|
||||
|
||||
ctx.builder.build_store(ndarray_pdim, shape_dim).unwrap();
|
||||
|
||||
@ -129,7 +156,7 @@ where
|
||||
llvm_usize.const_int(1, false),
|
||||
)?;
|
||||
|
||||
unsafe { ndarray.create_data(generator, ctx) };
|
||||
let ndarray = ndarray_init_data(generator, ctx, elem_ty, ndarray);
|
||||
|
||||
Ok(ndarray)
|
||||
}
|
||||
@ -162,18 +189,57 @@ pub fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
// TODO: Disallow shape > u32_MAX
|
||||
// TODO: Disallow dim_sz > u32_MAX
|
||||
}
|
||||
|
||||
let llvm_dtype = ctx.get_llvm_type(generator, elem_ty);
|
||||
let ndarray = create_ndarray_uninitialized(generator, ctx, elem_ty)?;
|
||||
|
||||
let ndarray = NDArrayType::new(generator, ctx.ctx, llvm_dtype, Some(shape.len() as u64))
|
||||
.construct_dyn_shape(generator, ctx, shape, None);
|
||||
unsafe { ndarray.create_data(generator, ctx) };
|
||||
let num_dims = llvm_usize.const_int(shape.len() as u64, false);
|
||||
ndarray.store_ndims(ctx, generator, num_dims);
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
|
||||
|
||||
for (i, &shape_dim) in shape.iter().enumerate() {
|
||||
let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
|
||||
let ndarray_dim = unsafe {
|
||||
ndarray.dim_sizes().ptr_offset_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(i as u64, true),
|
||||
None,
|
||||
)
|
||||
};
|
||||
|
||||
ctx.builder.build_store(ndarray_dim, shape_dim).unwrap();
|
||||
}
|
||||
|
||||
let ndarray = ndarray_init_data(generator, ctx, elem_ty, ndarray);
|
||||
|
||||
Ok(ndarray)
|
||||
}
|
||||
|
||||
/// Initializes the `data` field of [`NDArrayValue`] based on the `ndims` and `dim_sz` fields.
|
||||
fn ndarray_init_data<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_ty: Type,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> NDArrayValue<'ctx> {
|
||||
let llvm_ndarray_data_t = ctx.get_llvm_type(generator, elem_ty).as_basic_type_enum();
|
||||
assert!(llvm_ndarray_data_t.is_sized());
|
||||
|
||||
let ndarray_num_elems = call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&ndarray.dim_sizes().as_slice_value(ctx, generator),
|
||||
(None, None),
|
||||
);
|
||||
ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
|
||||
|
||||
ndarray
|
||||
}
|
||||
|
||||
fn ndarray_zero_value<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
@ -252,11 +318,11 @@ fn call_ndarray_empty_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|
||||
match shape {
|
||||
BasicValueEnum::PointerValue(shape_list_ptr)
|
||||
if ListValue::is_representable(shape_list_ptr, llvm_usize).is_ok() =>
|
||||
if ListValue::is_instance(shape_list_ptr, llvm_usize).is_ok() =>
|
||||
{
|
||||
// 1. A list of ints; e.g., `np.empty([600, 800, 3])`
|
||||
|
||||
let shape_list = ListValue::from_pointer_value(shape_list_ptr, llvm_usize, None);
|
||||
let shape_list = ListValue::from_ptr_val(shape_list_ptr, llvm_usize, None);
|
||||
create_ndarray_dyn_shape(
|
||||
generator,
|
||||
ctx,
|
||||
@ -275,24 +341,20 @@ fn call_ndarray_empty_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
// Get the length/size of the tuple, which also happens to be the value of `ndims`.
|
||||
let ndims = shape_tuple.get_type().count_fields();
|
||||
|
||||
let shape = (0..ndims)
|
||||
.map(|dim_i| {
|
||||
ctx.builder
|
||||
let mut shape = Vec::with_capacity(ndims as usize);
|
||||
for dim_i in 0..ndims {
|
||||
let dim = ctx
|
||||
.builder
|
||||
.build_extract_value(shape_tuple, dim_i, format!("dim{dim_i}").as_str())
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.map(|v| {
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(v, llvm_usize, "").unwrap()
|
||||
})
|
||||
.unwrap()
|
||||
})
|
||||
.collect_vec();
|
||||
.into_int_value();
|
||||
|
||||
shape.push(dim);
|
||||
}
|
||||
create_ndarray_const_shape(generator, ctx, elem_ty, shape.as_slice())
|
||||
}
|
||||
BasicValueEnum::IntValue(shape_int) => {
|
||||
// 3. A scalar int; e.g., `np.empty(3)`, this is functionally equivalent to `np.empty([3])`
|
||||
let shape_int =
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(shape_int, llvm_usize, "").unwrap();
|
||||
|
||||
create_ndarray_const_shape(generator, ctx, elem_ty, &[shape_int])
|
||||
}
|
||||
@ -321,7 +383,7 @@ where
|
||||
let ndarray_num_elems = call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&ndarray.shape().as_slice_value(ctx, generator),
|
||||
&ndarray.dim_sizes().as_slice_value(ctx, generator),
|
||||
(None, None),
|
||||
);
|
||||
|
||||
@ -415,8 +477,8 @@ fn ndarray_broadcast_fill<'ctx, 'a, G, ValueFn>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, 'a>,
|
||||
res: NDArrayValue<'ctx>,
|
||||
(lhs_ty, lhs_val, lhs_scalar): (Type, BasicValueEnum<'ctx>, bool),
|
||||
(rhs_ty, rhs_val, rhs_scalar): (Type, BasicValueEnum<'ctx>, bool),
|
||||
lhs: (BasicValueEnum<'ctx>, bool),
|
||||
rhs: (BasicValueEnum<'ctx>, bool),
|
||||
value_fn: ValueFn,
|
||||
) -> Result<NDArrayValue<'ctx>, String>
|
||||
where
|
||||
@ -427,6 +489,11 @@ where
|
||||
(BasicValueEnum<'ctx>, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String>,
|
||||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let (lhs_val, lhs_scalar) = lhs;
|
||||
let (rhs_val, rhs_scalar) = rhs;
|
||||
|
||||
assert!(
|
||||
!(lhs_scalar && rhs_scalar),
|
||||
"One of the operands must be a ndarray instance: `{}`, `{}`",
|
||||
@ -436,14 +503,12 @@ where
|
||||
|
||||
// Assert that all ndarray operands are broadcastable to the target size
|
||||
if !lhs_scalar {
|
||||
let lhs_val = NDArrayType::from_unifier_type(generator, ctx, lhs_ty)
|
||||
.map_value(lhs_val.into_pointer_value(), None);
|
||||
let lhs_val = NDArrayValue::from_ptr_val(lhs_val.into_pointer_value(), llvm_usize, None);
|
||||
ndarray_assert_is_broadcastable(generator, ctx, res, lhs_val);
|
||||
}
|
||||
|
||||
if !rhs_scalar {
|
||||
let rhs_val = NDArrayType::from_unifier_type(generator, ctx, rhs_ty)
|
||||
.map_value(rhs_val.into_pointer_value(), None);
|
||||
let rhs_val = NDArrayValue::from_ptr_val(rhs_val.into_pointer_value(), llvm_usize, None);
|
||||
ndarray_assert_is_broadcastable(generator, ctx, res, rhs_val);
|
||||
}
|
||||
|
||||
@ -451,8 +516,7 @@ where
|
||||
let lhs_elem = if lhs_scalar {
|
||||
lhs_val
|
||||
} else {
|
||||
let lhs = NDArrayType::from_unifier_type(generator, ctx, lhs_ty)
|
||||
.map_value(lhs_val.into_pointer_value(), None);
|
||||
let lhs = NDArrayValue::from_ptr_val(lhs_val.into_pointer_value(), llvm_usize, None);
|
||||
let lhs_idx = call_ndarray_calc_broadcast_index(generator, ctx, lhs, idx);
|
||||
|
||||
unsafe { lhs.data().get_unchecked(ctx, generator, &lhs_idx, None) }
|
||||
@ -461,8 +525,7 @@ where
|
||||
let rhs_elem = if rhs_scalar {
|
||||
rhs_val
|
||||
} else {
|
||||
let rhs = NDArrayType::from_unifier_type(generator, ctx, rhs_ty)
|
||||
.map_value(rhs_val.into_pointer_value(), None);
|
||||
let rhs = NDArrayValue::from_ptr_val(rhs_val.into_pointer_value(), llvm_usize, None);
|
||||
let rhs_idx = call_ndarray_calc_broadcast_index(generator, ctx, rhs, idx);
|
||||
|
||||
unsafe { rhs.data().get_unchecked(ctx, generator, &rhs_idx, None) }
|
||||
@ -588,15 +651,11 @@ fn llvm_ndlist_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|
||||
let ndims = llvm_usize.const_int(1, false);
|
||||
match list_elem_ty {
|
||||
AnyTypeEnum::PointerType(ptr_ty)
|
||||
if ListType::is_representable(ptr_ty, llvm_usize).is_ok() =>
|
||||
{
|
||||
AnyTypeEnum::PointerType(ptr_ty) if ListType::is_type(ptr_ty, llvm_usize).is_ok() => {
|
||||
ndims.const_add(llvm_ndlist_get_ndims(generator, ctx, ptr_ty))
|
||||
}
|
||||
|
||||
AnyTypeEnum::PointerType(ptr_ty)
|
||||
if NDArrayType::is_representable(ptr_ty, llvm_usize).is_ok() =>
|
||||
{
|
||||
AnyTypeEnum::PointerType(ptr_ty) if NDArrayType::is_type(ptr_ty, llvm_usize).is_ok() => {
|
||||
todo!("Getting ndims for list[ndarray] not supported")
|
||||
}
|
||||
|
||||
@ -608,18 +667,16 @@ fn llvm_ndlist_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
|
||||
fn llvm_arraylike_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
(ty, value): (Type, BasicValueEnum<'ctx>),
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
match value {
|
||||
BasicValueEnum::PointerValue(v)
|
||||
if NDArrayValue::is_representable(v, llvm_usize).is_ok() =>
|
||||
{
|
||||
NDArrayType::from_unifier_type(generator, ctx, ty).map_value(v, None).load_ndims(ctx)
|
||||
BasicValueEnum::PointerValue(v) if NDArrayValue::is_instance(v, llvm_usize).is_ok() => {
|
||||
NDArrayValue::from_ptr_val(v, llvm_usize, None).load_ndims(ctx)
|
||||
}
|
||||
|
||||
BasicValueEnum::PointerValue(v) if ListValue::is_representable(v, llvm_usize).is_ok() => {
|
||||
BasicValueEnum::PointerValue(v) if ListValue::is_instance(v, llvm_usize).is_ok() => {
|
||||
llvm_ndlist_get_ndims(generator, ctx, v.get_type())
|
||||
}
|
||||
|
||||
@ -631,6 +688,7 @@ fn llvm_arraylike_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
|
||||
fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_ty: Type,
|
||||
(dst_arr, dst_slice_ptr): (NDArrayValue<'ctx>, PointerValue<'ctx>),
|
||||
src_lst: ListValue<'ctx>,
|
||||
dim: u64,
|
||||
@ -641,15 +699,13 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
let list_elem_ty = src_lst.get_type().element_type();
|
||||
|
||||
match list_elem_ty {
|
||||
AnyTypeEnum::PointerType(ptr_ty)
|
||||
if ListType::is_representable(ptr_ty, llvm_usize).is_ok() =>
|
||||
{
|
||||
AnyTypeEnum::PointerType(ptr_ty) if ListType::is_type(ptr_ty, llvm_usize).is_ok() => {
|
||||
// The stride of elements in this dimension, i.e. the number of elements between arr[i]
|
||||
// and arr[i + 1] in this dimension
|
||||
let stride = call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&dst_arr.shape(),
|
||||
&dst_arr.dim_sizes(),
|
||||
(Some(llvm_usize.const_int(dim + 1, false)), None),
|
||||
);
|
||||
|
||||
@ -663,25 +719,11 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|_, _| Ok(llvm_usize.const_int(1, false)),
|
||||
|generator, ctx, _, i| {
|
||||
let offset = ctx.builder.build_int_mul(stride, i, "").unwrap();
|
||||
let offset = ctx
|
||||
.builder
|
||||
.build_int_mul(
|
||||
offset,
|
||||
ctx.builder
|
||||
.build_int_truncate_or_bit_cast(
|
||||
dst_arr.get_type().element_type().size_of().unwrap(),
|
||||
offset.get_type(),
|
||||
"",
|
||||
)
|
||||
.unwrap(),
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let dst_ptr =
|
||||
unsafe { ctx.builder.build_gep(dst_slice_ptr, &[offset], "").unwrap() };
|
||||
|
||||
let nested_lst_elem = ListValue::from_pointer_value(
|
||||
let nested_lst_elem = ListValue::from_ptr_val(
|
||||
unsafe { src_lst.data().get_unchecked(ctx, generator, &i, None) }
|
||||
.into_pointer_value(),
|
||||
llvm_usize,
|
||||
@ -691,6 +733,7 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ndarray_from_ndlist_impl(
|
||||
generator,
|
||||
ctx,
|
||||
elem_ty,
|
||||
(dst_arr, dst_ptr),
|
||||
nested_lst_elem,
|
||||
dim + 1,
|
||||
@ -701,17 +744,14 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
)?;
|
||||
}
|
||||
|
||||
AnyTypeEnum::PointerType(ptr_ty)
|
||||
if NDArrayType::is_representable(ptr_ty, llvm_usize).is_ok() =>
|
||||
{
|
||||
AnyTypeEnum::PointerType(ptr_ty) if NDArrayType::is_type(ptr_ty, llvm_usize).is_ok() => {
|
||||
todo!("Not implemented for list[ndarray]")
|
||||
}
|
||||
|
||||
_ => {
|
||||
let lst_len = src_lst.load_size(ctx, None);
|
||||
let sizeof_elem = dst_arr.get_type().element_type().size_of().unwrap();
|
||||
let sizeof_elem =
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(sizeof_elem, llvm_usize, "").unwrap();
|
||||
let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
|
||||
let sizeof_elem = ctx.builder.build_int_cast(sizeof_elem, llvm_usize, "").unwrap();
|
||||
|
||||
let cpy_len = ctx
|
||||
.builder
|
||||
@ -765,9 +805,8 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
let object = object.into_pointer_value();
|
||||
|
||||
// object is an NDArray instance - copy object unless copy=0 && ndmin < object.ndims
|
||||
if NDArrayValue::is_representable(object, llvm_usize).is_ok() {
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
let object = NDArrayValue::from_pointer_value(object, llvm_elem_ty, None, llvm_usize, None);
|
||||
if NDArrayValue::is_instance(object, llvm_usize).is_ok() {
|
||||
let object = NDArrayValue::from_ptr_val(object, llvm_usize, None);
|
||||
|
||||
let ndarray = gen_if_else_expr_callback(
|
||||
generator,
|
||||
@ -829,6 +868,7 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ndarray_sliced_copyto_impl(
|
||||
generator,
|
||||
ctx,
|
||||
elem_ty,
|
||||
(ndarray, ndarray.data().base_ptr(ctx, generator)),
|
||||
(object, object.data().base_ptr(ctx, generator)),
|
||||
0,
|
||||
@ -840,18 +880,16 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|_, _| Ok(Some(object.as_base_value())),
|
||||
)?;
|
||||
|
||||
return Ok(NDArrayValue::from_pointer_value(
|
||||
return Ok(NDArrayValue::from_ptr_val(
|
||||
ndarray.map(BasicValueEnum::into_pointer_value).unwrap(),
|
||||
llvm_elem_ty,
|
||||
None,
|
||||
llvm_usize,
|
||||
None,
|
||||
));
|
||||
}
|
||||
|
||||
// Remaining case: TList
|
||||
assert!(ListValue::is_representable(object, llvm_usize).is_ok());
|
||||
let object = ListValue::from_pointer_value(object, llvm_usize, None);
|
||||
assert!(ListValue::is_instance(object, llvm_usize).is_ok());
|
||||
let object = ListValue::from_ptr_val(object, llvm_usize, None);
|
||||
|
||||
// The number of dimensions to prepend 1's to
|
||||
let ndims = llvm_ndlist_get_ndims(generator, ctx, object.as_base_value().get_type());
|
||||
@ -931,8 +969,7 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
.map(|v| ctx.builder.build_bit_cast(v, plist_plist_i8, "").unwrap())
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap();
|
||||
let this_dim =
|
||||
ListValue::from_pointer_value(this_dim, llvm_usize, None);
|
||||
let this_dim = ListValue::from_ptr_val(this_dim, llvm_usize, None);
|
||||
|
||||
// TODO: Assert this_dim.sz != 0
|
||||
|
||||
@ -958,7 +995,7 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
},
|
||||
)?;
|
||||
|
||||
let lst = ListValue::from_pointer_value(
|
||||
let lst = ListValue::from_ptr_val(
|
||||
ctx.builder
|
||||
.build_load(lst, "")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
@ -978,6 +1015,7 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ndarray_from_ndlist_impl(
|
||||
generator,
|
||||
ctx,
|
||||
elem_ty,
|
||||
(ndarray, ndarray.data().base_ptr(ctx, generator)),
|
||||
object,
|
||||
0,
|
||||
@ -1037,7 +1075,7 @@ fn call_ndarray_eye_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|
||||
/// Copies a slice of an [`NDArrayValue`] to another.
|
||||
///
|
||||
/// - `dst_arr`: The [`NDArrayValue`] instance of the destination array. The `ndims` and `shape`
|
||||
/// - `dst_arr`: The [`NDArrayValue`] instance of the destination array. The `ndims` and `dim_sz`
|
||||
/// fields should be populated before calling this function.
|
||||
/// - `dst_slice_ptr`: The [`PointerValue`] to the first element of the currently processing
|
||||
/// dimensional slice in the destination array.
|
||||
@ -1050,6 +1088,7 @@ fn call_ndarray_eye_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_ty: Type,
|
||||
(dst_arr, dst_slice_ptr): (NDArrayValue<'ctx>, PointerValue<'ctx>),
|
||||
(src_arr, src_slice_ptr): (NDArrayValue<'ctx>, PointerValue<'ctx>),
|
||||
dim: u64,
|
||||
@ -1058,16 +1097,14 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
let llvm_i1 = ctx.ctx.bool_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
assert_eq!(dst_arr.get_type().element_type(), src_arr.get_type().element_type());
|
||||
|
||||
let sizeof_elem = dst_arr.get_type().element_type().size_of().unwrap();
|
||||
|
||||
// If there are no (remaining) slice expressions, memcpy the entire dimension
|
||||
if slices.is_empty() {
|
||||
let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
|
||||
|
||||
let stride = call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&src_arr.shape(),
|
||||
&src_arr.dim_sizes(),
|
||||
(Some(llvm_usize.const_int(dim, false)), None),
|
||||
);
|
||||
let stride =
|
||||
@ -1085,13 +1122,13 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
let src_stride = call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&src_arr.shape(),
|
||||
&src_arr.dim_sizes(),
|
||||
(Some(llvm_usize.const_int(dim + 1, false)), None),
|
||||
);
|
||||
let dst_stride = call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&dst_arr.shape(),
|
||||
&dst_arr.dim_sizes(),
|
||||
(Some(llvm_usize.const_int(dim + 1, false)), None),
|
||||
);
|
||||
|
||||
@ -1114,29 +1151,9 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|generator, ctx, _, src_i| {
|
||||
// Calculate the offset of the active slice
|
||||
let src_data_offset = ctx.builder.build_int_mul(src_stride, src_i, "").unwrap();
|
||||
let src_data_offset = ctx
|
||||
.builder
|
||||
.build_int_mul(
|
||||
src_data_offset,
|
||||
ctx.builder
|
||||
.build_int_z_extend_or_bit_cast(sizeof_elem, src_data_offset.get_type(), "")
|
||||
.unwrap(),
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
let dst_i =
|
||||
ctx.builder.build_load(dst_i_addr, "").map(BasicValueEnum::into_int_value).unwrap();
|
||||
let dst_data_offset = ctx.builder.build_int_mul(dst_stride, dst_i, "").unwrap();
|
||||
let dst_data_offset = ctx
|
||||
.builder
|
||||
.build_int_mul(
|
||||
dst_data_offset,
|
||||
ctx.builder
|
||||
.build_int_z_extend_or_bit_cast(sizeof_elem, dst_data_offset.get_type(), "")
|
||||
.unwrap(),
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let (src_ptr, dst_ptr) = unsafe {
|
||||
(
|
||||
@ -1148,6 +1165,7 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ndarray_sliced_copyto_impl(
|
||||
generator,
|
||||
ctx,
|
||||
elem_ty,
|
||||
(dst_arr, dst_ptr),
|
||||
(src_arr, src_ptr),
|
||||
dim + 1,
|
||||
@ -1181,10 +1199,8 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
|
||||
) -> Result<NDArrayValue<'ctx>, String> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray =
|
||||
if slices.is_empty() {
|
||||
let ndarray = if slices.is_empty() {
|
||||
create_ndarray_dyn_shape(
|
||||
generator,
|
||||
ctx,
|
||||
@ -1192,12 +1208,15 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
|
||||
&this,
|
||||
|_, ctx, shape| Ok(shape.load_ndims(ctx)),
|
||||
|generator, ctx, shape, idx| unsafe {
|
||||
Ok(shape.shape().get_typed_unchecked(ctx, generator, &idx, None))
|
||||
Ok(shape.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
|
||||
},
|
||||
)?
|
||||
} else {
|
||||
let ndarray = NDArrayType::new(generator, ctx.ctx, llvm_elem_ty, None)
|
||||
.construct_dyn_ndims(generator, ctx, this.load_ndims(ctx), None);
|
||||
let ndarray = create_ndarray_uninitialized(generator, ctx, elem_ty)?;
|
||||
ndarray.store_ndims(ctx, generator, this.load_ndims(ctx));
|
||||
|
||||
let ndims = this.load_ndims(ctx);
|
||||
ndarray.create_dim_sizes(ctx, llvm_usize, ndims);
|
||||
|
||||
// Populate the first slices.len() dimensions by computing the size of each dim slice
|
||||
for (i, (start, stop, step)) in slices.iter().enumerate() {
|
||||
@ -1229,7 +1248,7 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ctx.builder.build_int_z_extend_or_bit_cast(slice_len, llvm_usize, "").unwrap();
|
||||
|
||||
unsafe {
|
||||
ndarray.shape().set_typed_unchecked(
|
||||
ndarray.dim_sizes().set_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(i as u64, false),
|
||||
@ -1247,8 +1266,8 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
|
||||
(this.load_ndims(ctx), false),
|
||||
|generator, ctx, _, idx| {
|
||||
unsafe {
|
||||
let shape = this.shape().get_typed_unchecked(ctx, generator, &idx, None);
|
||||
ndarray.shape().set_typed_unchecked(ctx, generator, &idx, shape);
|
||||
let dim_sz = this.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None);
|
||||
ndarray.dim_sizes().set_typed_unchecked(ctx, generator, &idx, dim_sz);
|
||||
}
|
||||
|
||||
Ok(())
|
||||
@ -1257,14 +1276,13 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
unsafe { ndarray.create_data(generator, ctx) };
|
||||
|
||||
ndarray
|
||||
ndarray_init_data(generator, ctx, elem_ty, ndarray)
|
||||
};
|
||||
|
||||
ndarray_sliced_copyto_impl(
|
||||
generator,
|
||||
ctx,
|
||||
elem_ty,
|
||||
(ndarray, ndarray.data().base_ptr(ctx, generator)),
|
||||
(this, this.data().base_ptr(ctx, generator)),
|
||||
0,
|
||||
@ -1310,7 +1328,7 @@ where
|
||||
&operand,
|
||||
|_, ctx, v| Ok(v.load_ndims(ctx)),
|
||||
|generator, ctx, v, idx| unsafe {
|
||||
Ok(v.shape().get_typed_unchecked(ctx, generator, &idx, None))
|
||||
Ok(v.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
|
||||
},
|
||||
)
|
||||
.unwrap()
|
||||
@ -1347,8 +1365,8 @@ pub fn ndarray_elementwise_binop_impl<'ctx, 'a, G, ValueFn>(
|
||||
ctx: &mut CodeGenContext<'ctx, 'a>,
|
||||
elem_ty: Type,
|
||||
res: Option<NDArrayValue<'ctx>>,
|
||||
lhs: (Type, BasicValueEnum<'ctx>, bool),
|
||||
rhs: (Type, BasicValueEnum<'ctx>, bool),
|
||||
lhs: (BasicValueEnum<'ctx>, bool),
|
||||
rhs: (BasicValueEnum<'ctx>, bool),
|
||||
value_fn: ValueFn,
|
||||
) -> Result<NDArrayValue<'ctx>, String>
|
||||
where
|
||||
@ -1359,8 +1377,10 @@ where
|
||||
(BasicValueEnum<'ctx>, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String>,
|
||||
{
|
||||
let (lhs_ty, lhs_val, lhs_scalar) = lhs;
|
||||
let (rhs_ty, rhs_val, rhs_scalar) = rhs;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let (lhs_val, lhs_scalar) = lhs;
|
||||
let (rhs_val, rhs_scalar) = rhs;
|
||||
|
||||
assert!(
|
||||
!(lhs_scalar && rhs_scalar),
|
||||
@ -1371,10 +1391,10 @@ where
|
||||
|
||||
let ndarray = res.unwrap_or_else(|| {
|
||||
if lhs_scalar && rhs_scalar {
|
||||
let lhs_val = NDArrayType::from_unifier_type(generator, ctx, lhs_ty)
|
||||
.map_value(lhs_val.into_pointer_value(), None);
|
||||
let rhs_val = NDArrayType::from_unifier_type(generator, ctx, rhs_ty)
|
||||
.map_value(rhs_val.into_pointer_value(), None);
|
||||
let lhs_val =
|
||||
NDArrayValue::from_ptr_val(lhs_val.into_pointer_value(), llvm_usize, None);
|
||||
let rhs_val =
|
||||
NDArrayValue::from_ptr_val(rhs_val.into_pointer_value(), llvm_usize, None);
|
||||
|
||||
let ndarray_dims = call_ndarray_calc_broadcast(generator, ctx, lhs_val, rhs_val);
|
||||
|
||||
@ -1390,12 +1410,11 @@ where
|
||||
)
|
||||
.unwrap()
|
||||
} else {
|
||||
let ndarray = NDArrayType::from_unifier_type(
|
||||
generator,
|
||||
ctx,
|
||||
if lhs_scalar { rhs_ty } else { lhs_ty },
|
||||
)
|
||||
.map_value(if lhs_scalar { rhs_val } else { lhs_val }.into_pointer_value(), None);
|
||||
let ndarray = NDArrayValue::from_ptr_val(
|
||||
if lhs_scalar { rhs_val } else { lhs_val }.into_pointer_value(),
|
||||
llvm_usize,
|
||||
None,
|
||||
);
|
||||
|
||||
create_ndarray_dyn_shape(
|
||||
generator,
|
||||
@ -1404,7 +1423,7 @@ where
|
||||
&ndarray,
|
||||
|_, ctx, v| Ok(v.load_ndims(ctx)),
|
||||
|generator, ctx, v, idx| unsafe {
|
||||
Ok(v.shape().get_typed_unchecked(ctx, generator, &idx, None))
|
||||
Ok(v.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
|
||||
},
|
||||
)
|
||||
.unwrap()
|
||||
@ -1465,10 +1484,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
|
||||
if let Some(res) = res {
|
||||
let res_ndims = res.load_ndims(ctx);
|
||||
let res_dim0 = unsafe {
|
||||
res.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
res.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
};
|
||||
let res_dim1 = unsafe {
|
||||
res.shape().get_typed_unchecked(
|
||||
res.dim_sizes().get_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(1, false),
|
||||
@ -1476,10 +1495,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
|
||||
)
|
||||
};
|
||||
let lhs_dim0 = unsafe {
|
||||
lhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
lhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
};
|
||||
let rhs_dim1 = unsafe {
|
||||
rhs.shape().get_typed_unchecked(
|
||||
rhs.dim_sizes().get_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(1, false),
|
||||
@ -1528,10 +1547,15 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
|
||||
|
||||
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
|
||||
let lhs_dim1 = unsafe {
|
||||
lhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
|
||||
lhs.dim_sizes().get_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(1, false),
|
||||
None,
|
||||
)
|
||||
};
|
||||
let rhs_dim0 = unsafe {
|
||||
rhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
rhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
};
|
||||
|
||||
// lhs.dims[1] == rhs.dims[0]
|
||||
@ -1570,7 +1594,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
|
||||
},
|
||||
|generator, ctx| {
|
||||
Ok(Some(unsafe {
|
||||
lhs.shape().get_typed_unchecked(
|
||||
lhs.dim_sizes().get_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_zero(),
|
||||
@ -1580,7 +1604,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
|
||||
},
|
||||
|generator, ctx| {
|
||||
Ok(Some(unsafe {
|
||||
rhs.shape().get_typed_unchecked(
|
||||
rhs.dim_sizes().get_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(1, false),
|
||||
@ -1607,7 +1631,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
|
||||
|
||||
let common_dim = {
|
||||
let lhs_idx1 = unsafe {
|
||||
lhs.shape().get_typed_unchecked(
|
||||
lhs.dim_sizes().get_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(1, false),
|
||||
@ -1615,7 +1639,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
|
||||
)
|
||||
};
|
||||
let rhs_idx0 = unsafe {
|
||||
rhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
rhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
};
|
||||
|
||||
let idx = llvm_intrinsics::call_expect(ctx, rhs_idx0, lhs_idx1, None);
|
||||
@ -1723,8 +1747,13 @@ pub fn gen_ndarray_empty<'ctx>(
|
||||
let shape_ty = fun.0.args[0].ty;
|
||||
let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
|
||||
|
||||
call_ndarray_empty_impl(generator, context, context.primitives.float, shape_arg)
|
||||
.map(NDArrayValue::into)
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(&mut context.unifier, fun.0.ret);
|
||||
let ndims = extract_ndims(&context.unifier, ndims);
|
||||
|
||||
let shape = AnyObject { value: shape_arg, ty: shape_ty };
|
||||
let (_, shape) = parse_numpy_int_sequence(generator, context, shape);
|
||||
let ndarray = NDArrayObject::make_np_empty(generator, context, dtype, ndims, shape);
|
||||
Ok(ndarray.instance.value)
|
||||
}
|
||||
|
||||
/// Generates LLVM IR for `ndarray.zeros`.
|
||||
@ -1741,8 +1770,13 @@ pub fn gen_ndarray_zeros<'ctx>(
|
||||
let shape_ty = fun.0.args[0].ty;
|
||||
let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
|
||||
|
||||
call_ndarray_zeros_impl(generator, context, context.primitives.float, shape_arg)
|
||||
.map(NDArrayValue::into)
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(&mut context.unifier, fun.0.ret);
|
||||
let ndims = extract_ndims(&context.unifier, ndims);
|
||||
|
||||
let shape = AnyObject { value: shape_arg, ty: shape_ty };
|
||||
let (_, shape) = parse_numpy_int_sequence(generator, context, shape);
|
||||
let ndarray = NDArrayObject::make_np_zeros(generator, context, dtype, ndims, shape);
|
||||
Ok(ndarray.instance.value)
|
||||
}
|
||||
|
||||
/// Generates LLVM IR for `ndarray.ones`.
|
||||
@ -1759,8 +1793,13 @@ pub fn gen_ndarray_ones<'ctx>(
|
||||
let shape_ty = fun.0.args[0].ty;
|
||||
let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
|
||||
|
||||
call_ndarray_ones_impl(generator, context, context.primitives.float, shape_arg)
|
||||
.map(NDArrayValue::into)
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(&mut context.unifier, fun.0.ret);
|
||||
let ndims = extract_ndims(&context.unifier, ndims);
|
||||
|
||||
let shape = AnyObject { value: shape_arg, ty: shape_ty };
|
||||
let (_, shape) = parse_numpy_int_sequence(generator, context, shape);
|
||||
let ndarray = NDArrayObject::make_np_ones(generator, context, dtype, ndims, shape);
|
||||
Ok(ndarray.instance.value)
|
||||
}
|
||||
|
||||
/// Generates LLVM IR for `ndarray.full`.
|
||||
@ -1780,8 +1819,14 @@ pub fn gen_ndarray_full<'ctx>(
|
||||
let fill_value_arg =
|
||||
args[1].1.clone().to_basic_value_enum(context, generator, fill_value_ty)?;
|
||||
|
||||
call_ndarray_full_impl(generator, context, fill_value_ty, shape_arg, fill_value_arg)
|
||||
.map(NDArrayValue::into)
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(&mut context.unifier, fun.0.ret);
|
||||
let ndims = extract_ndims(&context.unifier, ndims);
|
||||
|
||||
let shape = AnyObject { value: shape_arg, ty: shape_ty };
|
||||
let (_, shape) = parse_numpy_int_sequence(generator, context, shape);
|
||||
let ndarray =
|
||||
NDArrayObject::make_np_full(generator, context, dtype, ndims, shape, fill_value_arg);
|
||||
Ok(ndarray.instance.value)
|
||||
}
|
||||
|
||||
pub fn gen_ndarray_array<'ctx>(
|
||||
@ -1939,18 +1984,18 @@ pub fn gen_ndarray_copy<'ctx>(
|
||||
assert!(obj.is_some());
|
||||
assert!(args.is_empty());
|
||||
|
||||
let llvm_usize = generator.get_size_type(context.ctx);
|
||||
|
||||
let this_ty = obj.as_ref().unwrap().0;
|
||||
let (this_elem_ty, _) = unpack_ndarray_var_tys(&mut context.unifier, this_ty);
|
||||
let this_arg =
|
||||
obj.as_ref().unwrap().1.clone().to_basic_value_enum(context, generator, this_ty)?;
|
||||
|
||||
let llvm_this_ty = NDArrayType::from_unifier_type(generator, context, this_ty);
|
||||
|
||||
ndarray_copy_impl(
|
||||
generator,
|
||||
context,
|
||||
this_elem_ty,
|
||||
llvm_this_ty.map_value(this_arg.into_pointer_value(), None),
|
||||
NDArrayValue::from_ptr_val(this_arg.into_pointer_value(), llvm_usize, None),
|
||||
)
|
||||
.map(NDArrayValue::into)
|
||||
}
|
||||
@ -1966,6 +2011,8 @@ pub fn gen_ndarray_fill<'ctx>(
|
||||
assert!(obj.is_some());
|
||||
assert_eq!(args.len(), 1);
|
||||
|
||||
let llvm_usize = generator.get_size_type(context.ctx);
|
||||
|
||||
let this_ty = obj.as_ref().unwrap().0;
|
||||
let this_arg = obj
|
||||
.as_ref()
|
||||
@ -1977,12 +2024,10 @@ pub fn gen_ndarray_fill<'ctx>(
|
||||
let value_ty = fun.0.args[0].ty;
|
||||
let value_arg = args[0].1.clone().to_basic_value_enum(context, generator, value_ty)?;
|
||||
|
||||
let llvm_this_ty = NDArrayType::from_unifier_type(generator, context, this_ty);
|
||||
|
||||
ndarray_fill_flattened(
|
||||
generator,
|
||||
context,
|
||||
llvm_this_ty.map_value(this_arg, None),
|
||||
NDArrayValue::from_ptr_val(this_arg, llvm_usize, None),
|
||||
|generator, ctx, _| {
|
||||
let value = if value_arg.is_pointer_value() {
|
||||
let llvm_i1 = ctx.ctx.bool_type();
|
||||
@ -2015,17 +2060,16 @@ pub fn gen_ndarray_fill<'ctx>(
|
||||
pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
(x1_ty, x1): (Type, BasicValueEnum<'ctx>),
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "ndarray_transpose";
|
||||
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let llvm_ndarray_ty = NDArrayType::from_unifier_type(generator, ctx, x1_ty);
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1 = llvm_ndarray_ty.map_value(n1, None);
|
||||
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
|
||||
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
|
||||
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
|
||||
|
||||
// Dimensions are reversed in the transposed array
|
||||
let out = create_ndarray_dyn_shape(
|
||||
@ -2040,7 +2084,7 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
|
||||
.builder
|
||||
.build_int_sub(new_idx, new_idx.get_type().const_int(1, false), "")
|
||||
.unwrap();
|
||||
unsafe { Ok(n.shape().get_typed_unchecked(ctx, generator, &new_idx, None)) }
|
||||
unsafe { Ok(n.dim_sizes().get_typed_unchecked(ctx, generator, &new_idx, None)) }
|
||||
},
|
||||
)
|
||||
.unwrap();
|
||||
@ -2077,7 +2121,7 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
|
||||
.build_int_sub(ndim_rev, llvm_usize.const_int(1, false), "")
|
||||
.unwrap();
|
||||
let dim = unsafe {
|
||||
n1.shape().get_typed_unchecked(ctx, generator, &ndim_rev, None)
|
||||
n1.dim_sizes().get_typed_unchecked(ctx, generator, &ndim_rev, None)
|
||||
};
|
||||
|
||||
let rem_idx_val =
|
||||
@ -2143,9 +2187,8 @@ pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let llvm_ndarray_ty = NDArrayType::from_unifier_type(generator, ctx, x1_ty);
|
||||
let n1 = llvm_ndarray_ty.map_value(n1, None);
|
||||
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
|
||||
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
|
||||
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
|
||||
|
||||
let acc = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
|
||||
let num_neg = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
|
||||
@ -2154,11 +2197,11 @@ pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
|
||||
let out = match shape {
|
||||
BasicValueEnum::PointerValue(shape_list_ptr)
|
||||
if ListValue::is_representable(shape_list_ptr, llvm_usize).is_ok() =>
|
||||
if ListValue::is_instance(shape_list_ptr, llvm_usize).is_ok() =>
|
||||
{
|
||||
// 1. A list of ints; e.g., `np.reshape(arr, [int64(600), int64(800, -1])`
|
||||
|
||||
let shape_list = ListValue::from_pointer_value(shape_list_ptr, llvm_usize, None);
|
||||
let shape_list = ListValue::from_ptr_val(shape_list_ptr, llvm_usize, None);
|
||||
// Check for -1 in dimensions
|
||||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
@ -2373,7 +2416,7 @@ pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
);
|
||||
|
||||
// The new shape must be compatible with the old shape
|
||||
let out_sz = call_ndarray_calc_size(generator, ctx, &out.shape(), (None, None));
|
||||
let out_sz = call_ndarray_calc_size(generator, ctx, &out.dim_sizes(), (None, None));
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
ctx.builder.build_int_compare(IntPredicate::EQ, out_sz, n_sz, "").unwrap(),
|
||||
@ -2421,17 +2464,17 @@ pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "ndarray_dot";
|
||||
let (x1_ty, x1) = x1;
|
||||
let (x2_ty, x2) = x2;
|
||||
let (_, x2) = x2;
|
||||
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
match (x1, x2) {
|
||||
(BasicValueEnum::PointerValue(n1), BasicValueEnum::PointerValue(n2)) => {
|
||||
let n1 = NDArrayType::from_unifier_type(generator, ctx, x1_ty).map_value(n1, None);
|
||||
let n2 = NDArrayType::from_unifier_type(generator, ctx, x2_ty).map_value(n2, None);
|
||||
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
|
||||
let n2 = NDArrayValue::from_ptr_val(n2, llvm_usize, None);
|
||||
|
||||
let n1_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
|
||||
let n2_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
|
||||
let n1_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
|
||||
let n2_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
@ -2468,7 +2511,7 @@ pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
|
||||
.build_float_mul(e1, elem2.into_float_value(), "")
|
||||
.unwrap()
|
||||
.as_basic_value_enum(),
|
||||
_ => codegen_unreachable!(ctx, "product: {}", elem1.get_type()),
|
||||
_ => codegen_unreachable!(ctx),
|
||||
};
|
||||
let acc_val = ctx.builder.build_load(acc, "").unwrap();
|
||||
let acc_val = match acc_val {
|
||||
@ -2482,7 +2525,7 @@ pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
|
||||
.build_float_add(e1, product.into_float_value(), "")
|
||||
.unwrap()
|
||||
.as_basic_value_enum(),
|
||||
_ => codegen_unreachable!(ctx, "acc_val: {}", acc_val.get_type()),
|
||||
_ => codegen_unreachable!(ctx),
|
||||
};
|
||||
ctx.builder.build_store(acc, acc_val).unwrap();
|
||||
|
||||
|
||||
12
nac3core/src/codegen/object/any.rs
Normal file
12
nac3core/src/codegen/object/any.rs
Normal file
@ -0,0 +1,12 @@
|
||||
use inkwell::values::BasicValueEnum;
|
||||
|
||||
use crate::typecheck::typedef::Type;
|
||||
|
||||
/// A NAC3 LLVM Python object of any type.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct AnyObject<'ctx> {
|
||||
/// Typechecker type of the object.
|
||||
pub ty: Type,
|
||||
/// LLVM value of the object.
|
||||
pub value: BasicValueEnum<'ctx>,
|
||||
}
|
||||
75
nac3core/src/codegen/object/list.rs
Normal file
75
nac3core/src/codegen/object/list.rs
Normal file
@ -0,0 +1,75 @@
|
||||
use super::any::AnyObject;
|
||||
use crate::{
|
||||
codegen::{model::*, CodeGenContext, CodeGenerator},
|
||||
typecheck::typedef::{iter_type_vars, Type, TypeEnum},
|
||||
};
|
||||
|
||||
/// Fields of [`List`]
|
||||
pub struct ListFields<'ctx, F: FieldTraversal<'ctx>, Item: Model<'ctx>> {
|
||||
/// Array pointer to content
|
||||
pub items: F::Output<Ptr<Item>>,
|
||||
/// Number of items in the array
|
||||
pub len: F::Output<Int<SizeT>>,
|
||||
}
|
||||
|
||||
/// A list in NAC3.
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct List<Item> {
|
||||
/// Model of the list items
|
||||
pub item: Item,
|
||||
}
|
||||
|
||||
impl<'ctx, Item: Model<'ctx>> StructKind<'ctx> for List<Item> {
|
||||
type Fields<F: FieldTraversal<'ctx>> = ListFields<'ctx, F, Item>;
|
||||
|
||||
fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
|
||||
Self::Fields {
|
||||
items: traversal.add("items", Ptr(self.item)),
|
||||
len: traversal.add_auto("len"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// A NAC3 Python List object.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct ListObject<'ctx> {
|
||||
/// Typechecker type of the list items
|
||||
pub item_type: Type,
|
||||
pub instance: Instance<'ctx, Ptr<Struct<List<Any<'ctx>>>>>,
|
||||
}
|
||||
|
||||
impl<'ctx> ListObject<'ctx> {
|
||||
/// Create a [`ListObject`] from an LLVM value and its typechecker [`Type`].
|
||||
pub fn from_object<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
object: AnyObject<'ctx>,
|
||||
) -> Self {
|
||||
// Check typechecker type and extract `item_type`
|
||||
let item_type = match &*ctx.unifier.get_ty(object.ty) {
|
||||
TypeEnum::TObj { obj_id, params, .. }
|
||||
if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
iter_type_vars(params).next().unwrap().ty // Extract `item_type`
|
||||
}
|
||||
_ => {
|
||||
panic!("Expecting type to be a list, but got {}", ctx.unifier.stringify(object.ty))
|
||||
}
|
||||
};
|
||||
|
||||
let plist = Ptr(Struct(List { item: Any(ctx.get_llvm_type(generator, item_type)) }));
|
||||
|
||||
// Create object
|
||||
let value = plist.check_value(generator, ctx.ctx, object.value).unwrap();
|
||||
ListObject { item_type, instance: value }
|
||||
}
|
||||
|
||||
/// Get the `len()` of this list.
|
||||
pub fn len<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
self.instance.get(generator, ctx, |f| f.len)
|
||||
}
|
||||
}
|
||||
4
nac3core/src/codegen/object/mod.rs
Normal file
4
nac3core/src/codegen/object/mod.rs
Normal file
@ -0,0 +1,4 @@
|
||||
pub mod any;
|
||||
pub mod list;
|
||||
pub mod ndarray;
|
||||
pub mod tuple;
|
||||
125
nac3core/src/codegen/object/ndarray/factory.rs
Normal file
125
nac3core/src/codegen/object/ndarray/factory.rs
Normal file
@ -0,0 +1,125 @@
|
||||
use inkwell::values::BasicValueEnum;
|
||||
|
||||
use super::NDArrayObject;
|
||||
use crate::{
|
||||
codegen::{
|
||||
irrt::call_nac3_ndarray_util_assert_shape_no_negative, model::*, CodeGenContext,
|
||||
CodeGenerator,
|
||||
},
|
||||
typecheck::typedef::Type,
|
||||
};
|
||||
|
||||
/// Get the zero value in `np.zeros()` of a `dtype`.
|
||||
fn ndarray_zero_value<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
) -> BasicValueEnum<'ctx> {
|
||||
if [ctx.primitives.int32, ctx.primitives.uint32]
|
||||
.iter()
|
||||
.any(|ty| ctx.unifier.unioned(dtype, *ty))
|
||||
{
|
||||
ctx.ctx.i32_type().const_zero().into()
|
||||
} else if [ctx.primitives.int64, ctx.primitives.uint64]
|
||||
.iter()
|
||||
.any(|ty| ctx.unifier.unioned(dtype, *ty))
|
||||
{
|
||||
ctx.ctx.i64_type().const_zero().into()
|
||||
} else if ctx.unifier.unioned(dtype, ctx.primitives.float) {
|
||||
ctx.ctx.f64_type().const_zero().into()
|
||||
} else if ctx.unifier.unioned(dtype, ctx.primitives.bool) {
|
||||
ctx.ctx.bool_type().const_zero().into()
|
||||
} else if ctx.unifier.unioned(dtype, ctx.primitives.str) {
|
||||
ctx.gen_string(generator, "").into()
|
||||
} else {
|
||||
panic!("unrecognized dtype: {}", ctx.unifier.stringify(dtype));
|
||||
}
|
||||
}
|
||||
|
||||
/// Get the one value in `np.ones()` of a `dtype`.
|
||||
fn ndarray_one_value<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
) -> BasicValueEnum<'ctx> {
|
||||
if [ctx.primitives.int32, ctx.primitives.uint32]
|
||||
.iter()
|
||||
.any(|ty| ctx.unifier.unioned(dtype, *ty))
|
||||
{
|
||||
let is_signed = ctx.unifier.unioned(dtype, ctx.primitives.int32);
|
||||
ctx.ctx.i32_type().const_int(1, is_signed).into()
|
||||
} else if [ctx.primitives.int64, ctx.primitives.uint64]
|
||||
.iter()
|
||||
.any(|ty| ctx.unifier.unioned(dtype, *ty))
|
||||
{
|
||||
let is_signed = ctx.unifier.unioned(dtype, ctx.primitives.int64);
|
||||
ctx.ctx.i64_type().const_int(1, is_signed).into()
|
||||
} else if ctx.unifier.unioned(dtype, ctx.primitives.float) {
|
||||
ctx.ctx.f64_type().const_float(1.0).into()
|
||||
} else if ctx.unifier.unioned(dtype, ctx.primitives.bool) {
|
||||
ctx.ctx.bool_type().const_int(1, false).into()
|
||||
} else if ctx.unifier.unioned(dtype, ctx.primitives.str) {
|
||||
ctx.gen_string(generator, "1").into()
|
||||
} else {
|
||||
panic!("unrecognized dtype: {}", ctx.unifier.stringify(dtype));
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayObject<'ctx> {
|
||||
/// Create an ndarray like `np.empty`.
|
||||
pub fn make_np_empty<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
ndims: u64,
|
||||
shape: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) -> Self {
|
||||
// Validate `shape`
|
||||
let ndims_llvm = Int(SizeT).const_int(generator, ctx.ctx, ndims, false);
|
||||
call_nac3_ndarray_util_assert_shape_no_negative(generator, ctx, ndims_llvm, shape);
|
||||
|
||||
let ndarray = NDArrayObject::alloca(generator, ctx, dtype, ndims);
|
||||
ndarray.copy_shape_from_array(generator, ctx, shape);
|
||||
ndarray.create_data(generator, ctx);
|
||||
|
||||
ndarray
|
||||
}
|
||||
|
||||
/// Create an ndarray like `np.full`.
|
||||
pub fn make_np_full<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
ndims: u64,
|
||||
shape: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
fill_value: BasicValueEnum<'ctx>,
|
||||
) -> Self {
|
||||
let ndarray = NDArrayObject::make_np_empty(generator, ctx, dtype, ndims, shape);
|
||||
ndarray.fill(generator, ctx, fill_value);
|
||||
ndarray
|
||||
}
|
||||
|
||||
/// Create an ndarray like `np.zero`.
|
||||
pub fn make_np_zeros<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
ndims: u64,
|
||||
shape: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) -> Self {
|
||||
let fill_value = ndarray_zero_value(generator, ctx, dtype);
|
||||
NDArrayObject::make_np_full(generator, ctx, dtype, ndims, shape, fill_value)
|
||||
}
|
||||
|
||||
/// Create an ndarray like `np.ones`.
|
||||
pub fn make_np_ones<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
ndims: u64,
|
||||
shape: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) -> Self {
|
||||
let fill_value = ndarray_one_value(generator, ctx, dtype);
|
||||
NDArrayObject::make_np_full(generator, ctx, dtype, ndims, shape, fill_value)
|
||||
}
|
||||
}
|
||||
371
nac3core/src/codegen/object/ndarray/mod.rs
Normal file
371
nac3core/src/codegen/object/ndarray/mod.rs
Normal file
@ -0,0 +1,371 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::BasicType,
|
||||
values::{BasicValueEnum, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use super::any::AnyObject;
|
||||
use crate::{
|
||||
codegen::{
|
||||
irrt::{
|
||||
call_nac3_ndarray_copy_data, call_nac3_ndarray_get_nth_pelement,
|
||||
call_nac3_ndarray_get_pelement_by_indices, call_nac3_ndarray_is_c_contiguous,
|
||||
call_nac3_ndarray_len, call_nac3_ndarray_nbytes,
|
||||
call_nac3_ndarray_set_strides_by_shape, call_nac3_ndarray_size,
|
||||
},
|
||||
model::*,
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
toplevel::{helper::extract_ndims, numpy::unpack_ndarray_var_tys},
|
||||
typecheck::typedef::Type,
|
||||
};
|
||||
|
||||
pub mod factory;
|
||||
pub mod nditer;
|
||||
pub mod shape_util;
|
||||
|
||||
/// Fields of [`NDArray`]
|
||||
pub struct NDArrayFields<'ctx, F: FieldTraversal<'ctx>> {
|
||||
pub data: F::Output<Ptr<Int<Byte>>>,
|
||||
pub itemsize: F::Output<Int<SizeT>>,
|
||||
pub ndims: F::Output<Int<SizeT>>,
|
||||
pub shape: F::Output<Ptr<Int<SizeT>>>,
|
||||
pub strides: F::Output<Ptr<Int<SizeT>>>,
|
||||
}
|
||||
|
||||
/// A strided ndarray in NAC3.
|
||||
///
|
||||
/// See IRRT implementation for details about its fields.
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct NDArray;
|
||||
|
||||
impl<'ctx> StructKind<'ctx> for NDArray {
|
||||
type Fields<F: FieldTraversal<'ctx>> = NDArrayFields<'ctx, F>;
|
||||
|
||||
fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
|
||||
Self::Fields {
|
||||
data: traversal.add_auto("data"),
|
||||
itemsize: traversal.add_auto("itemsize"),
|
||||
ndims: traversal.add_auto("ndims"),
|
||||
shape: traversal.add_auto("shape"),
|
||||
strides: traversal.add_auto("strides"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// A NAC3 Python ndarray object.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct NDArrayObject<'ctx> {
|
||||
pub dtype: Type,
|
||||
pub ndims: u64,
|
||||
pub instance: Instance<'ctx, Ptr<Struct<NDArray>>>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayObject<'ctx> {
|
||||
/// Attempt to convert an [`AnyObject`] into an [`NDArrayObject`].
|
||||
pub fn from_object<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
object: AnyObject<'ctx>,
|
||||
) -> NDArrayObject<'ctx> {
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(&mut ctx.unifier, object.ty);
|
||||
let ndims = extract_ndims(&ctx.unifier, ndims);
|
||||
|
||||
let value = Ptr(Struct(NDArray)).check_value(generator, ctx.ctx, object.value).unwrap();
|
||||
NDArrayObject { dtype, ndims, instance: value }
|
||||
}
|
||||
|
||||
/// Get this ndarray's `ndims` as an LLVM constant.
|
||||
pub fn ndims_llvm<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &'ctx Context,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
Int(SizeT).const_int(generator, ctx, self.ndims, false)
|
||||
}
|
||||
|
||||
/// Allocate an ndarray on the stack given its `ndims` and `dtype`.
|
||||
///
|
||||
/// `shape` and `strides` will be automatically allocated onto the stack.
|
||||
///
|
||||
/// The returned ndarray's content will be:
|
||||
/// - `data`: uninitialized.
|
||||
/// - `itemsize`: set to the `sizeof()` of `dtype`.
|
||||
/// - `ndims`: set to the value of `ndims`.
|
||||
/// - `shape`: allocated with an array of length `ndims` with uninitialized values.
|
||||
/// - `strides`: allocated with an array of length `ndims` with uninitialized values.
|
||||
pub fn alloca<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
ndims: u64,
|
||||
) -> Self {
|
||||
let ndarray = Struct(NDArray).alloca(generator, ctx);
|
||||
|
||||
let itemsize = ctx.get_llvm_type(generator, dtype).size_of().unwrap();
|
||||
let itemsize = Int(SizeT).z_extend_or_truncate(generator, ctx, itemsize);
|
||||
ndarray.set(ctx, |f| f.itemsize, itemsize);
|
||||
|
||||
let ndims_val = Int(SizeT).const_int(generator, ctx.ctx, ndims, false);
|
||||
ndarray.set(ctx, |f| f.ndims, ndims_val);
|
||||
|
||||
let shape = Int(SizeT).array_alloca(generator, ctx, ndims_val.value);
|
||||
ndarray.set(ctx, |f| f.shape, shape);
|
||||
|
||||
let strides = Int(SizeT).array_alloca(generator, ctx, ndims_val.value);
|
||||
ndarray.set(ctx, |f| f.strides, strides);
|
||||
|
||||
NDArrayObject { dtype, ndims, instance: ndarray }
|
||||
}
|
||||
|
||||
/// Convenience function. Allocate an [`NDArrayObject`] with a statically known shape.
|
||||
///
|
||||
/// The returned [`NDArrayObject`]'s `data` and `strides` are uninitialized.
|
||||
pub fn alloca_constant_shape<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
shape: &[u64],
|
||||
) -> Self {
|
||||
let ndarray = NDArrayObject::alloca(generator, ctx, dtype, shape.len() as u64);
|
||||
|
||||
// Write shape
|
||||
let dst_shape = ndarray.instance.get(generator, ctx, |f| f.shape);
|
||||
for (i, dim) in shape.iter().enumerate() {
|
||||
let dim = Int(SizeT).const_int(generator, ctx.ctx, *dim, false);
|
||||
dst_shape.offset_const(ctx, i64::try_from(i).unwrap()).store(ctx, dim);
|
||||
}
|
||||
|
||||
ndarray
|
||||
}
|
||||
|
||||
/// Convenience function. Allocate an [`NDArrayObject`] with a dynamically known shape.
|
||||
///
|
||||
/// The returned [`NDArrayObject`]'s `data` and `strides` are uninitialized.
|
||||
pub fn alloca_dynamic_shape<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dtype: Type,
|
||||
shape: &[Instance<'ctx, Int<SizeT>>],
|
||||
) -> Self {
|
||||
let ndarray = NDArrayObject::alloca(generator, ctx, dtype, shape.len() as u64);
|
||||
|
||||
// Write shape
|
||||
let dst_shape = ndarray.instance.get(generator, ctx, |f| f.shape);
|
||||
for (i, dim) in shape.iter().enumerate() {
|
||||
dst_shape.offset_const(ctx, i64::try_from(i).unwrap()).store(ctx, *dim);
|
||||
}
|
||||
|
||||
ndarray
|
||||
}
|
||||
|
||||
/// Initialize an ndarray's `data` by allocating a buffer on the stack.
|
||||
/// The allocated data buffer is considered to be *owned* by the ndarray.
|
||||
///
|
||||
/// `strides` of the ndarray will also be updated with `set_strides_by_shape`.
|
||||
///
|
||||
/// `shape` and `itemsize` of the ndarray ***must*** be initialized first.
|
||||
pub fn create_data<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) {
|
||||
let nbytes = self.nbytes(generator, ctx);
|
||||
|
||||
let data = Int(Byte).array_alloca(generator, ctx, nbytes.value);
|
||||
self.instance.set(ctx, |f| f.data, data);
|
||||
|
||||
self.set_strides_contiguous(generator, ctx);
|
||||
}
|
||||
|
||||
/// Copy shape dimensions from an array.
|
||||
pub fn copy_shape_from_array<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
shape: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) {
|
||||
let num_items = self.ndims_llvm(generator, ctx.ctx).value;
|
||||
self.instance.get(generator, ctx, |f| f.shape).copy_from(generator, ctx, shape, num_items);
|
||||
}
|
||||
|
||||
/// Copy shape dimensions from an ndarray.
|
||||
/// Panics if `ndims` mismatches.
|
||||
pub fn copy_shape_from_ndarray<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: NDArrayObject<'ctx>,
|
||||
) {
|
||||
assert_eq!(self.ndims, src_ndarray.ndims);
|
||||
let src_shape = src_ndarray.instance.get(generator, ctx, |f| f.shape);
|
||||
self.copy_shape_from_array(generator, ctx, src_shape);
|
||||
}
|
||||
|
||||
/// Copy strides dimensions from an array.
|
||||
pub fn copy_strides_from_array<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
strides: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) {
|
||||
let num_items = self.ndims_llvm(generator, ctx.ctx).value;
|
||||
self.instance
|
||||
.get(generator, ctx, |f| f.strides)
|
||||
.copy_from(generator, ctx, strides, num_items);
|
||||
}
|
||||
|
||||
/// Copy strides dimensions from an ndarray.
|
||||
/// Panics if `ndims` mismatches.
|
||||
pub fn copy_strides_from_ndarray<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: NDArrayObject<'ctx>,
|
||||
) {
|
||||
assert_eq!(self.ndims, src_ndarray.ndims);
|
||||
let src_strides = src_ndarray.instance.get(generator, ctx, |f| f.strides);
|
||||
self.copy_strides_from_array(generator, ctx, src_strides);
|
||||
}
|
||||
|
||||
/// Get the `np.size()` of this ndarray.
|
||||
pub fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
call_nac3_ndarray_size(generator, ctx, self.instance)
|
||||
}
|
||||
|
||||
/// Get the `ndarray.nbytes` of this ndarray.
|
||||
pub fn nbytes<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
call_nac3_ndarray_nbytes(generator, ctx, self.instance)
|
||||
}
|
||||
|
||||
/// Get the `len()` of this ndarray.
|
||||
pub fn len<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
call_nac3_ndarray_len(generator, ctx, self.instance)
|
||||
}
|
||||
|
||||
/// Check if this ndarray is C-contiguous.
|
||||
///
|
||||
/// See NumPy's `flags["C_CONTIGUOUS"]`: <https://numpy.org/doc/stable/reference/generated/numpy.ndarray.flags.html#numpy.ndarray.flags>
|
||||
pub fn is_c_contiguous<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Int<Bool>> {
|
||||
call_nac3_ndarray_is_c_contiguous(generator, ctx, self.instance)
|
||||
}
|
||||
|
||||
/// Get the pointer to the n-th (0-based) element.
|
||||
///
|
||||
/// The returned pointer has the element type of the LLVM type of this ndarray's `dtype`.
|
||||
pub fn get_nth_pelement<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
nth: Instance<'ctx, Int<SizeT>>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let elem_ty = ctx.get_llvm_type(generator, self.dtype);
|
||||
|
||||
let p = call_nac3_ndarray_get_nth_pelement(generator, ctx, self.instance, nth);
|
||||
ctx.builder
|
||||
.build_pointer_cast(p.value, elem_ty.ptr_type(AddressSpace::default()), "")
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Get the n-th (0-based) scalar.
|
||||
pub fn get_nth_scalar<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
nth: Instance<'ctx, Int<SizeT>>,
|
||||
) -> AnyObject<'ctx> {
|
||||
let ptr = self.get_nth_pelement(generator, ctx, nth);
|
||||
let value = ctx.builder.build_load(ptr, "").unwrap();
|
||||
AnyObject { ty: self.dtype, value }
|
||||
}
|
||||
|
||||
/// Get the pointer to the element indexed by `indices`.
|
||||
///
|
||||
/// The returned pointer has the element type of the LLVM type of this ndarray's `dtype`.
|
||||
pub fn get_pelement_by_indices<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
indices: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let elem_ty = ctx.get_llvm_type(generator, self.dtype);
|
||||
|
||||
let p = call_nac3_ndarray_get_pelement_by_indices(generator, ctx, self.instance, indices);
|
||||
ctx.builder
|
||||
.build_pointer_cast(p.value, elem_ty.ptr_type(AddressSpace::default()), "")
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Get the scalar indexed by `indices`.
|
||||
pub fn get_scalar_by_indices<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
indices: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
) -> AnyObject<'ctx> {
|
||||
let ptr = self.get_pelement_by_indices(generator, ctx, indices);
|
||||
let value = ctx.builder.build_load(ptr, "").unwrap();
|
||||
AnyObject { ty: self.dtype, value }
|
||||
}
|
||||
|
||||
/// Call [`call_nac3_ndarray_set_strides_by_shape`] on this ndarray to update `strides`.
|
||||
///
|
||||
/// Update the ndarray's strides to make the ndarray contiguous.
|
||||
pub fn set_strides_contiguous<G: CodeGenerator + ?Sized>(
|
||||
self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) {
|
||||
call_nac3_ndarray_set_strides_by_shape(generator, ctx, self.instance);
|
||||
}
|
||||
|
||||
/// Copy data from another ndarray.
|
||||
///
|
||||
/// This ndarray and `src` is that their `np.size()` should be the same. Their shapes
|
||||
/// do not matter. The copying order is determined by how their flattened views look.
|
||||
///
|
||||
/// Panics if the `dtype`s of ndarrays are different.
|
||||
pub fn copy_data_from<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
src: NDArrayObject<'ctx>,
|
||||
) {
|
||||
assert!(ctx.unifier.unioned(self.dtype, src.dtype), "self and src dtype should match");
|
||||
call_nac3_ndarray_copy_data(generator, ctx, src.instance, self.instance);
|
||||
}
|
||||
|
||||
/// Fill the ndarray with a scalar.
|
||||
///
|
||||
/// `fill_value` must have the same LLVM type as the `dtype` of this ndarray.
|
||||
pub fn fill<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) {
|
||||
self.foreach(generator, ctx, |generator, ctx, _hooks, nditer| {
|
||||
let p = nditer.get_pointer(generator, ctx);
|
||||
ctx.builder.build_store(p, value).unwrap();
|
||||
Ok(())
|
||||
})
|
||||
.unwrap();
|
||||
}
|
||||
}
|
||||
178
nac3core/src/codegen/object/ndarray/nditer.rs
Normal file
178
nac3core/src/codegen/object/ndarray/nditer.rs
Normal file
@ -0,0 +1,178 @@
|
||||
use inkwell::{types::BasicType, values::PointerValue, AddressSpace};
|
||||
|
||||
use super::NDArrayObject;
|
||||
use crate::codegen::{
|
||||
irrt::{call_nac3_nditer_has_element, call_nac3_nditer_initialize, call_nac3_nditer_next},
|
||||
model::*,
|
||||
object::any::AnyObject,
|
||||
stmt::{gen_for_callback, BreakContinueHooks},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Fields of [`NDIter`]
|
||||
pub struct NDIterFields<'ctx, F: FieldTraversal<'ctx>> {
|
||||
pub ndims: F::Output<Int<SizeT>>,
|
||||
pub shape: F::Output<Ptr<Int<SizeT>>>,
|
||||
pub strides: F::Output<Ptr<Int<SizeT>>>,
|
||||
|
||||
pub indices: F::Output<Ptr<Int<SizeT>>>,
|
||||
pub nth: F::Output<Int<SizeT>>,
|
||||
pub element: F::Output<Ptr<Int<Byte>>>,
|
||||
|
||||
pub size: F::Output<Int<SizeT>>,
|
||||
}
|
||||
|
||||
/// An IRRT helper structure used to iterate through an ndarray.
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct NDIter;
|
||||
|
||||
impl<'ctx> StructKind<'ctx> for NDIter {
|
||||
type Fields<F: FieldTraversal<'ctx>> = NDIterFields<'ctx, F>;
|
||||
|
||||
fn iter_fields<F: FieldTraversal<'ctx>>(&self, traversal: &mut F) -> Self::Fields<F> {
|
||||
Self::Fields {
|
||||
ndims: traversal.add_auto("ndims"),
|
||||
shape: traversal.add_auto("shape"),
|
||||
strides: traversal.add_auto("strides"),
|
||||
|
||||
indices: traversal.add_auto("indices"),
|
||||
nth: traversal.add_auto("nth"),
|
||||
element: traversal.add_auto("element"),
|
||||
|
||||
size: traversal.add_auto("size"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// A helper structure with a convenient interface to interact with [`NDIter`].
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct NDIterHandle<'ctx> {
|
||||
instance: Instance<'ctx, Ptr<Struct<NDIter>>>,
|
||||
/// The ndarray this [`NDIter`] to iterating over.
|
||||
ndarray: NDArrayObject<'ctx>,
|
||||
/// The current indices of [`NDIter`].
|
||||
indices: Instance<'ctx, Ptr<Int<SizeT>>>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDIterHandle<'ctx> {
|
||||
/// Allocate an [`NDIter`] that iterates through an ndarray.
|
||||
pub fn new<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayObject<'ctx>,
|
||||
) -> Self {
|
||||
let nditer = Struct(NDIter).alloca(generator, ctx);
|
||||
let ndims = ndarray.ndims_llvm(generator, ctx.ctx);
|
||||
|
||||
// The caller has the responsibility to allocate 'indices' for `NDIter`.
|
||||
let indices = Int(SizeT).array_alloca(generator, ctx, ndims.value);
|
||||
call_nac3_nditer_initialize(generator, ctx, nditer, ndarray.instance, indices);
|
||||
|
||||
NDIterHandle { ndarray, instance: nditer, indices }
|
||||
}
|
||||
|
||||
/// Is the current iteration valid?
|
||||
///
|
||||
/// If true, then `element`, `indices` and `nth` contain details about the current element.
|
||||
///
|
||||
/// If `ndarray` is unsized, this returns true only for the first iteration.
|
||||
/// If `ndarray` is 0-sized, this always returns false.
|
||||
#[must_use]
|
||||
pub fn has_element<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Int<Bool>> {
|
||||
call_nac3_nditer_has_element(generator, ctx, self.instance)
|
||||
}
|
||||
|
||||
/// Go to the next element. If `has_element()` is false, then this has undefined behavior.
|
||||
///
|
||||
/// If `ndarray` is unsized, this can only be called once.
|
||||
/// If `ndarray` is 0-sized, this can never be called.
|
||||
pub fn next<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) {
|
||||
call_nac3_nditer_next(generator, ctx, self.instance);
|
||||
}
|
||||
|
||||
/// Get pointer to the current element.
|
||||
#[must_use]
|
||||
pub fn get_pointer<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let elem_ty = ctx.get_llvm_type(generator, self.ndarray.dtype);
|
||||
|
||||
let p = self.instance.get(generator, ctx, |f| f.element);
|
||||
ctx.builder
|
||||
.build_pointer_cast(p.value, elem_ty.ptr_type(AddressSpace::default()), "element")
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Get the value of the current element.
|
||||
#[must_use]
|
||||
pub fn get_scalar<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> AnyObject<'ctx> {
|
||||
let p = self.get_pointer(generator, ctx);
|
||||
let value = ctx.builder.build_load(p, "value").unwrap();
|
||||
AnyObject { ty: self.ndarray.dtype, value }
|
||||
}
|
||||
|
||||
/// Get the index of the current element if this ndarray were a flat ndarray.
|
||||
#[must_use]
|
||||
pub fn get_index<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
self.instance.get(generator, ctx, |f| f.nth)
|
||||
}
|
||||
|
||||
/// Get the indices of the current element.
|
||||
#[must_use]
|
||||
pub fn get_indices(&self) -> Instance<'ctx, Ptr<Int<SizeT>>> {
|
||||
self.indices
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayObject<'ctx> {
|
||||
/// Iterate through every element in the ndarray.
|
||||
///
|
||||
/// `body` has access to [`BreakContinueHooks`] to short-circuit and [`NDIterHandle`] to
|
||||
/// get properties of the current iteration (e.g., the current element, indices, etc.)
|
||||
pub fn foreach<'a, G, F>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, 'a>,
|
||||
body: F,
|
||||
) -> Result<(), String>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
F: FnOnce(
|
||||
&mut G,
|
||||
&mut CodeGenContext<'ctx, 'a>,
|
||||
BreakContinueHooks<'ctx>,
|
||||
NDIterHandle<'ctx>,
|
||||
) -> Result<(), String>,
|
||||
{
|
||||
gen_for_callback(
|
||||
generator,
|
||||
ctx,
|
||||
Some("ndarray_foreach"),
|
||||
|generator, ctx| Ok(NDIterHandle::new(generator, ctx, *self)),
|
||||
|generator, ctx, nditer| Ok(nditer.has_element(generator, ctx).value),
|
||||
|generator, ctx, hooks, nditer| body(generator, ctx, hooks, nditer),
|
||||
|generator, ctx, nditer| {
|
||||
nditer.next(generator, ctx);
|
||||
Ok(())
|
||||
},
|
||||
)
|
||||
}
|
||||
}
|
||||
104
nac3core/src/codegen/object/ndarray/shape_util.rs
Normal file
104
nac3core/src/codegen/object/ndarray/shape_util.rs
Normal file
@ -0,0 +1,104 @@
|
||||
use crate::{
|
||||
codegen::{
|
||||
model::*,
|
||||
object::{any::AnyObject, list::ListObject, tuple::TupleObject},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
typecheck::typedef::TypeEnum,
|
||||
};
|
||||
use util::gen_for_model;
|
||||
|
||||
/// Parse a NumPy-like "int sequence" input and return the int sequence as an array and its length.
|
||||
///
|
||||
/// * `sequence` - The `sequence` parameter.
|
||||
/// * `sequence_ty` - The typechecker type of `sequence`
|
||||
///
|
||||
/// The `sequence` argument type may only be one of the following:
|
||||
/// 1. A list of `int32`; e.g., `np.empty([600, 800, 3])`
|
||||
/// 2. A tuple of `int32`; e.g., `np.empty((600, 800, 3))`
|
||||
/// 3. A scalar `int32`; e.g., `np.empty(3)`, this is functionally equivalent to `np.empty([3])`
|
||||
///
|
||||
/// All `int32` values will be sign-extended to `SizeT`.
|
||||
pub fn parse_numpy_int_sequence<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
input_sequence: AnyObject<'ctx>,
|
||||
) -> (Instance<'ctx, Int<SizeT>>, Instance<'ctx, Ptr<Int<SizeT>>>) {
|
||||
let zero = Int(SizeT).const_0(generator, ctx.ctx);
|
||||
let one = Int(SizeT).const_1(generator, ctx.ctx);
|
||||
|
||||
// The result `list` to return.
|
||||
match &*ctx.unifier.get_ty(input_sequence.ty) {
|
||||
TypeEnum::TObj { obj_id, .. }
|
||||
if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
// 1. A list of `int32`; e.g., `np.empty([600, 800, 3])`
|
||||
|
||||
// Check `input_sequence`
|
||||
let input_sequence = ListObject::from_object(generator, ctx, input_sequence);
|
||||
|
||||
let len = input_sequence.instance.get(generator, ctx, |f| f.len);
|
||||
let result = Int(SizeT).array_alloca(generator, ctx, len.value);
|
||||
|
||||
// Load all the `int32`s from the input_sequence, cast them to `SizeT`, and store them into `result`
|
||||
gen_for_model(generator, ctx, zero, len, one, |generator, ctx, _hooks, i| {
|
||||
// Load the i-th int32 in the input sequence
|
||||
let int = input_sequence
|
||||
.instance
|
||||
.get(generator, ctx, |f| f.items)
|
||||
.get_index(generator, ctx, i.value)
|
||||
.value
|
||||
.into_int_value();
|
||||
|
||||
// Cast to SizeT
|
||||
let int = Int(SizeT).s_extend_or_bit_cast(generator, ctx, int);
|
||||
|
||||
// Store
|
||||
result.set_index(ctx, i.value, int);
|
||||
|
||||
Ok(())
|
||||
})
|
||||
.unwrap();
|
||||
|
||||
(len, result)
|
||||
}
|
||||
TypeEnum::TTuple { .. } => {
|
||||
// 2. A tuple of ints; e.g., `np.empty((600, 800, 3))`
|
||||
|
||||
let input_sequence = TupleObject::from_object(ctx, input_sequence);
|
||||
|
||||
let len = input_sequence.len(generator, ctx);
|
||||
|
||||
let result = Int(SizeT).array_alloca(generator, ctx, len.value);
|
||||
|
||||
for i in 0..input_sequence.num_elements() {
|
||||
// Get the i-th element off of the tuple and load it into `result`.
|
||||
let int = input_sequence.index(ctx, i).value.into_int_value();
|
||||
let int = Int(SizeT).s_extend_or_bit_cast(generator, ctx, int);
|
||||
|
||||
result.set_index_const(ctx, i64::try_from(i).unwrap(), int);
|
||||
}
|
||||
|
||||
(len, result)
|
||||
}
|
||||
TypeEnum::TObj { obj_id, .. }
|
||||
if *obj_id == ctx.primitives.int32.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
// 3. A scalar int; e.g., `np.empty(3)`, this is functionally equivalent to `np.empty([3])`
|
||||
let input_int = input_sequence.value.into_int_value();
|
||||
|
||||
let len = Int(SizeT).const_1(generator, ctx.ctx);
|
||||
let result = Int(SizeT).array_alloca(generator, ctx, len.value);
|
||||
let int = Int(SizeT).s_extend_or_bit_cast(generator, ctx, input_int);
|
||||
|
||||
// Storing into result[0]
|
||||
result.store(ctx, int);
|
||||
|
||||
(len, result)
|
||||
}
|
||||
_ => panic!(
|
||||
"encountered unknown sequence type: {}",
|
||||
ctx.unifier.stringify(input_sequence.ty)
|
||||
),
|
||||
}
|
||||
}
|
||||
98
nac3core/src/codegen/object/tuple.rs
Normal file
98
nac3core/src/codegen/object/tuple.rs
Normal file
@ -0,0 +1,98 @@
|
||||
use inkwell::values::StructValue;
|
||||
use itertools::Itertools;
|
||||
|
||||
use super::any::AnyObject;
|
||||
use crate::{
|
||||
codegen::{model::*, CodeGenContext, CodeGenerator},
|
||||
typecheck::typedef::{Type, TypeEnum},
|
||||
};
|
||||
|
||||
/// A NAC3 tuple object.
|
||||
///
|
||||
/// NOTE: This struct has no copy trait.
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct TupleObject<'ctx> {
|
||||
/// The type of the tuple.
|
||||
pub tys: Vec<Type>,
|
||||
/// The underlying LLVM struct value of this tuple.
|
||||
pub value: StructValue<'ctx>,
|
||||
}
|
||||
|
||||
impl<'ctx> TupleObject<'ctx> {
|
||||
pub fn from_object(ctx: &mut CodeGenContext<'ctx, '_>, object: AnyObject<'ctx>) -> Self {
|
||||
// TODO: Keep `is_vararg_ctx` from TTuple?
|
||||
|
||||
// Sanity check on object type.
|
||||
let TypeEnum::TTuple { ty: tys, .. } = &*ctx.unifier.get_ty(object.ty) else {
|
||||
panic!(
|
||||
"Expected type to be a TypeEnum::TTuple, got {}",
|
||||
ctx.unifier.stringify(object.ty)
|
||||
);
|
||||
};
|
||||
|
||||
// Check number of fields
|
||||
let value = object.value.into_struct_value();
|
||||
let value_num_fields = value.get_type().count_fields() as usize;
|
||||
assert!(
|
||||
value_num_fields == tys.len(),
|
||||
"Tuple type has {} item(s), but the LLVM struct value has {} field(s)",
|
||||
tys.len(),
|
||||
value_num_fields
|
||||
);
|
||||
|
||||
TupleObject { tys: tys.clone(), value }
|
||||
}
|
||||
|
||||
/// Convenience function. Create a [`TupleObject`] from an iterator of objects.
|
||||
pub fn from_objects<I, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
objects: I,
|
||||
) -> Self
|
||||
where
|
||||
I: IntoIterator<Item = AnyObject<'ctx>>,
|
||||
{
|
||||
let (values, tys): (Vec<_>, Vec<_>) =
|
||||
objects.into_iter().map(|object| (object.value, object.ty)).unzip();
|
||||
|
||||
let llvm_tys = tys.iter().map(|ty| ctx.get_llvm_type(generator, *ty)).collect_vec();
|
||||
let llvm_tuple_ty = ctx.ctx.struct_type(&llvm_tys, false);
|
||||
|
||||
let pllvm_tuple = ctx.builder.build_alloca(llvm_tuple_ty, "tuple").unwrap();
|
||||
for (i, val) in values.into_iter().enumerate() {
|
||||
let pval = ctx.builder.build_struct_gep(pllvm_tuple, i as u32, "value").unwrap();
|
||||
ctx.builder.build_store(pval, val).unwrap();
|
||||
}
|
||||
|
||||
let value = ctx.builder.build_load(pllvm_tuple, "").unwrap().into_struct_value();
|
||||
TupleObject { tys, value }
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn num_elements(&self) -> usize {
|
||||
self.tys.len()
|
||||
}
|
||||
|
||||
/// Get the `len()` of this tuple.
|
||||
#[must_use]
|
||||
pub fn len<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Instance<'ctx, Int<SizeT>> {
|
||||
Int(SizeT).const_int(generator, ctx.ctx, self.num_elements() as u64, false)
|
||||
}
|
||||
|
||||
/// Get the `i`-th (0-based) object in this tuple.
|
||||
pub fn index(&self, ctx: &mut CodeGenContext<'ctx, '_>, i: usize) -> AnyObject<'ctx> {
|
||||
assert!(
|
||||
i < self.num_elements(),
|
||||
"Tuple object with length {} have index {i}",
|
||||
self.num_elements()
|
||||
);
|
||||
|
||||
let value = ctx.builder.build_extract_value(self.value, i as u32, "tuple[{i}]").unwrap();
|
||||
let ty = self.tys[i];
|
||||
AnyObject { ty, value }
|
||||
}
|
||||
}
|
||||
@ -12,11 +12,11 @@ use nac3parser::ast::{
|
||||
};
|
||||
|
||||
use super::{
|
||||
classes::{ArrayLikeIndexer, ArraySliceValue, ListValue, RangeValue},
|
||||
expr::{destructure_range, gen_binop_expr},
|
||||
gen_in_range_check,
|
||||
irrt::{handle_slice_indices, list_slice_assignment},
|
||||
macros::codegen_unreachable,
|
||||
values::{ArrayLikeIndexer, ArraySliceValue, ListValue, RangeValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
use crate::{
|
||||
@ -310,7 +310,7 @@ pub fn gen_setitem<'ctx, G: CodeGenerator>(
|
||||
.unwrap()
|
||||
.to_basic_value_enum(ctx, generator, target_ty)?
|
||||
.into_pointer_value();
|
||||
let target = ListValue::from_pointer_value(target, llvm_usize, None);
|
||||
let target = ListValue::from_ptr_val(target, llvm_usize, None);
|
||||
|
||||
if let ExprKind::Slice { .. } = &key.node {
|
||||
// Handle assigning to a slice
|
||||
@ -331,7 +331,7 @@ pub fn gen_setitem<'ctx, G: CodeGenerator>(
|
||||
|
||||
let value =
|
||||
value.to_basic_value_enum(ctx, generator, value_ty)?.into_pointer_value();
|
||||
let value = ListValue::from_pointer_value(value, llvm_usize, None);
|
||||
let value = ListValue::from_ptr_val(value, llvm_usize, None);
|
||||
|
||||
let target_item_ty = ctx.get_llvm_type(generator, target_item_ty);
|
||||
let Some(src_ind) = handle_slice_indices(
|
||||
@ -463,8 +463,7 @@ pub fn gen_for<G: CodeGenerator>(
|
||||
TypeEnum::TObj { obj_id, .. }
|
||||
if *obj_id == ctx.primitives.range.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
let iter_val =
|
||||
RangeValue::from_pointer_value(iter_val.into_pointer_value(), Some("range"));
|
||||
let iter_val = RangeValue::from_ptr_val(iter_val.into_pointer_value(), Some("range"));
|
||||
// Internal variable for loop; Cannot be assigned
|
||||
let i = generator.gen_var_alloc(ctx, int32.into(), Some("for.i.addr"))?;
|
||||
// Variable declared in "target" expression of the loop; Can be reassigned *or* shadowed
|
||||
|
||||
@ -15,13 +15,13 @@ use nac3parser::{
|
||||
};
|
||||
use parking_lot::RwLock;
|
||||
|
||||
use super::{
|
||||
concrete_type::ConcreteTypeStore,
|
||||
types::{ndarray::NDArrayType, ListType, ProxyType, RangeType},
|
||||
CodeGenContext, CodeGenLLVMOptions, CodeGenTargetMachineOptions, CodeGenTask, CodeGenerator,
|
||||
DefaultCodeGenerator, WithCall, WorkerRegistry,
|
||||
};
|
||||
use crate::{
|
||||
codegen::{
|
||||
classes::{ListType, NDArrayType, ProxyType, RangeType},
|
||||
concrete_type::ConcreteTypeStore,
|
||||
CodeGenContext, CodeGenLLVMOptions, CodeGenTargetMachineOptions, CodeGenTask,
|
||||
CodeGenerator, DefaultCodeGenerator, WithCall, WorkerRegistry,
|
||||
},
|
||||
symbol_resolver::{SymbolResolver, ValueEnum},
|
||||
toplevel::{
|
||||
composer::{ComposerConfig, TopLevelComposer},
|
||||
@ -452,7 +452,7 @@ fn test_classes_list_type_new() {
|
||||
let llvm_usize = generator.get_size_type(&ctx);
|
||||
|
||||
let llvm_list = ListType::new(&generator, &ctx, llvm_i32.into());
|
||||
assert!(ListType::is_representable(llvm_list.as_base_type(), llvm_usize).is_ok());
|
||||
assert!(ListType::is_type(llvm_list.as_base_type(), llvm_usize).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
@ -460,7 +460,7 @@ fn test_classes_range_type_new() {
|
||||
let ctx = inkwell::context::Context::create();
|
||||
|
||||
let llvm_range = RangeType::new(&ctx);
|
||||
assert!(RangeType::is_representable(llvm_range.as_base_type()).is_ok());
|
||||
assert!(RangeType::is_type(llvm_range.as_base_type()).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
@ -471,6 +471,6 @@ fn test_classes_ndarray_type_new() {
|
||||
let llvm_i32 = ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(&ctx);
|
||||
|
||||
let llvm_ndarray = NDArrayType::new(&generator, &ctx, llvm_i32.into(), None);
|
||||
assert!(NDArrayType::is_representable(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
|
||||
let llvm_ndarray = NDArrayType::new(&generator, &ctx, llvm_i32.into());
|
||||
assert!(NDArrayType::is_type(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
|
||||
}
|
||||
|
||||
@ -1,206 +0,0 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::IntValue,
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use super::ProxyType;
|
||||
use crate::codegen::{
|
||||
values::{ArraySliceValue, ListValue, ProxyValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Proxy type for a `list` type in LLVM.
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct ListType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
impl<'ctx> ListType<'ctx> {
|
||||
/// Checks whether `llvm_ty` represents a `list` type, returning [Err] if it does not.
|
||||
pub fn is_representable(
|
||||
llvm_ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
let llvm_list_ty = llvm_ty.get_element_type();
|
||||
let AnyTypeEnum::StructType(llvm_list_ty) = llvm_list_ty else {
|
||||
return Err(format!("Expected struct type for `list` type, got {llvm_list_ty}"));
|
||||
};
|
||||
if llvm_list_ty.count_fields() != 2 {
|
||||
return Err(format!(
|
||||
"Expected 2 fields in `list`, got {}",
|
||||
llvm_list_ty.count_fields()
|
||||
));
|
||||
}
|
||||
|
||||
let list_size_ty = llvm_list_ty.get_field_type_at_index(0).unwrap();
|
||||
let Ok(_) = PointerType::try_from(list_size_ty) else {
|
||||
return Err(format!("Expected pointer type for `list.0`, got {list_size_ty}"));
|
||||
};
|
||||
|
||||
let list_data_ty = llvm_list_ty.get_field_type_at_index(1).unwrap();
|
||||
let Ok(list_data_ty) = IntType::try_from(list_data_ty) else {
|
||||
return Err(format!("Expected int type for `list.1`, got {list_data_ty}"));
|
||||
};
|
||||
if list_data_ty.get_bit_width() != llvm_usize.get_bit_width() {
|
||||
return Err(format!(
|
||||
"Expected {}-bit int type for `list.1`, got {}-bit int",
|
||||
llvm_usize.get_bit_width(),
|
||||
list_data_ty.get_bit_width()
|
||||
));
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Creates an LLVM type corresponding to the expected structure of a `List`.
|
||||
#[must_use]
|
||||
fn llvm_type(
|
||||
ctx: &'ctx Context,
|
||||
element_type: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> PointerType<'ctx> {
|
||||
// struct List { data: T*, size: size_t }
|
||||
let field_tys = [element_type.ptr_type(AddressSpace::default()).into(), llvm_usize.into()];
|
||||
|
||||
ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
/// Creates an instance of [`ListType`].
|
||||
#[must_use]
|
||||
pub fn new<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
element_type: BasicTypeEnum<'ctx>,
|
||||
) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_list = Self::llvm_type(ctx, element_type, llvm_usize);
|
||||
|
||||
ListType::from_type(llvm_list, llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an [`ListType`] from a [`PointerType`].
|
||||
#[must_use]
|
||||
pub fn from_type(ptr_ty: PointerType<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr_ty, llvm_usize).is_ok());
|
||||
|
||||
ListType { ty: ptr_ty, llvm_usize }
|
||||
}
|
||||
|
||||
/// Returns the type of the `size` field of this `list` type.
|
||||
#[must_use]
|
||||
pub fn size_type(&self) -> IntType<'ctx> {
|
||||
self.as_base_type()
|
||||
.get_element_type()
|
||||
.into_struct_type()
|
||||
.get_field_type_at_index(1)
|
||||
.map(BasicTypeEnum::into_int_type)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Returns the element type of this `list` type.
|
||||
#[must_use]
|
||||
pub fn element_type(&self) -> AnyTypeEnum<'ctx> {
|
||||
self.as_base_type()
|
||||
.get_element_type()
|
||||
.into_struct_type()
|
||||
.get_field_type_at_index(0)
|
||||
.map(BasicTypeEnum::into_pointer_type)
|
||||
.map(PointerType::get_element_type)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Allocates an instance of [`ListValue`] as if by calling `alloca` on the base type.
|
||||
#[must_use]
|
||||
pub fn alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca(generator, ctx, name),
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Converts an existing value into a [`ListValue`].
|
||||
#[must_use]
|
||||
pub fn map_value(
|
||||
&self,
|
||||
value: <<Self as ProxyType<'ctx>>::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(value, self.llvm_usize, name)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyType<'ctx> for ListType<'ctx> {
|
||||
type Base = PointerType<'ctx>;
|
||||
type Value = ListValue<'ctx>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
|
||||
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
|
||||
} else {
|
||||
Err(format!("Expected pointer type, got {llvm_ty:?}"))
|
||||
}
|
||||
}
|
||||
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
|
||||
}
|
||||
|
||||
fn raw_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self::Value as ProxyValue<'ctx>>::Base {
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
generator
|
||||
.gen_array_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
size,
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn as_base_type(&self) -> Self::Base {
|
||||
self.ty
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<ListType<'ctx>> for PointerType<'ctx> {
|
||||
fn from(value: ListType<'ctx>) -> Self {
|
||||
value.as_base_type()
|
||||
}
|
||||
}
|
||||
@ -1,76 +0,0 @@
|
||||
//! This module contains abstraction over all intrinsic composite types of NAC3.
|
||||
//!
|
||||
//! # `raw_alloca` vs `alloca` vs `construct`
|
||||
//!
|
||||
//! There are three ways of creating a new object instance using the abstractions provided by this
|
||||
//! module.
|
||||
//!
|
||||
//! - `raw_alloca`: Allocates the object on the stack, returning an instance of
|
||||
//! [`impl BasicValue`][inkwell::values::BasicValue]. This is similar to a `malloc` expression in
|
||||
//! C++ but the object is allocated on the stack.
|
||||
//! - `alloca`: Similar to `raw_alloca`, but also wraps the allocated object with
|
||||
//! [`<Self as ProxyType<'ctx>>::Value`][ProxyValue], and returns the wrapped object. The returned
|
||||
//! object will not initialize any value or fields. This is similar to a type-safe `malloc`
|
||||
//! expression in C++ but the object is allocated on the stack.
|
||||
//! - `construct`: Similar to `alloca`, but performs some initialization on the value or fields of
|
||||
//! the returned object. This is similar to a `new` expression in C++ but the object is allocated
|
||||
//! on the stack.
|
||||
|
||||
use inkwell::{context::Context, types::BasicType, values::IntValue};
|
||||
|
||||
use super::{
|
||||
values::{ArraySliceValue, ProxyValue},
|
||||
{CodeGenContext, CodeGenerator},
|
||||
};
|
||||
pub use list::*;
|
||||
pub use range::*;
|
||||
|
||||
mod list;
|
||||
pub mod ndarray;
|
||||
mod range;
|
||||
pub mod structure;
|
||||
pub mod utils;
|
||||
|
||||
/// A LLVM type that is used to represent a corresponding type in NAC3.
|
||||
pub trait ProxyType<'ctx>: Into<Self::Base> {
|
||||
/// The LLVM type of which values of this type possess. This is usually a
|
||||
/// [LLVM pointer type][PointerType] for any non-primitive types.
|
||||
type Base: BasicType<'ctx>;
|
||||
|
||||
/// The type of values represented by this type.
|
||||
type Value: ProxyValue<'ctx, Type = Self>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String>;
|
||||
|
||||
/// Checks whether `llvm_ty` can be represented by this [`ProxyType`].
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String>;
|
||||
|
||||
/// Creates a new value of this type, returning the LLVM instance of this value.
|
||||
fn raw_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self::Value as ProxyValue<'ctx>>::Base;
|
||||
|
||||
/// Creates a new array value of this type, returning an [`ArraySliceValue`] encapsulating the
|
||||
/// resulting array.
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx>;
|
||||
|
||||
/// Returns the [base type][Self::Base] of this proxy.
|
||||
fn as_base_type(&self) -> Self::Base;
|
||||
}
|
||||
@ -1,257 +0,0 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
use crate::{
|
||||
codegen::{
|
||||
types::{
|
||||
structure::{
|
||||
check_struct_type_matches_fields, FieldIndexCounter, StructField, StructFields,
|
||||
},
|
||||
ProxyType,
|
||||
},
|
||||
values::{ndarray::ContiguousNDArrayValue, ArraySliceValue, ProxyValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
toplevel::numpy::unpack_ndarray_var_tys,
|
||||
typecheck::typedef::Type,
|
||||
};
|
||||
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct ContiguousNDArrayType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
item: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct ContiguousNDArrayFields<'ctx> {
|
||||
#[value_type(usize)]
|
||||
pub ndims: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
pub shape: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
pub data: StructField<'ctx, PointerValue<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> ContiguousNDArrayFields<'ctx> {
|
||||
#[must_use]
|
||||
pub fn new_typed(item: BasicTypeEnum<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
|
||||
let mut counter = FieldIndexCounter::default();
|
||||
|
||||
ContiguousNDArrayFields {
|
||||
ndims: StructField::create(&mut counter, "ndims", llvm_usize),
|
||||
shape: StructField::create(
|
||||
&mut counter,
|
||||
"shape",
|
||||
llvm_usize.ptr_type(AddressSpace::default()),
|
||||
),
|
||||
data: StructField::create(&mut counter, "data", item.ptr_type(AddressSpace::default())),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ContiguousNDArrayType<'ctx> {
|
||||
/// Checks whether `llvm_ty` represents a `ndarray` type, returning [Err] if it does not.
|
||||
pub fn is_representable(
|
||||
llvm_ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
let ctx = llvm_ty.get_context();
|
||||
|
||||
let llvm_ty = llvm_ty.get_element_type();
|
||||
let AnyTypeEnum::StructType(llvm_ty) = llvm_ty else {
|
||||
return Err(format!(
|
||||
"Expected struct type for `ContiguousNDArray` type, got {llvm_ty}"
|
||||
));
|
||||
};
|
||||
|
||||
let fields = ContiguousNDArrayFields::new(ctx, llvm_usize);
|
||||
|
||||
check_struct_type_matches_fields(
|
||||
fields,
|
||||
llvm_ty,
|
||||
"ContiguousNDArray",
|
||||
&[(fields.data.name(), &|ty| {
|
||||
if ty.is_pointer_type() {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(format!("Expected T* for `ContiguousNDArray.data`, got {ty}"))
|
||||
}
|
||||
})],
|
||||
)
|
||||
}
|
||||
|
||||
/// Returns an instance of [`StructFields`] containing all field accessors for this type.
|
||||
#[must_use]
|
||||
fn fields(
|
||||
item: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> ContiguousNDArrayFields<'ctx> {
|
||||
ContiguousNDArrayFields::new_typed(item, llvm_usize)
|
||||
}
|
||||
|
||||
/// See [`NDArrayType::fields`].
|
||||
// TODO: Move this into e.g. StructProxyType
|
||||
#[must_use]
|
||||
pub fn get_fields(&self) -> ContiguousNDArrayFields<'ctx> {
|
||||
Self::fields(self.item, self.llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an LLVM type corresponding to the expected structure of an `NDArray`.
|
||||
#[must_use]
|
||||
fn llvm_type(
|
||||
ctx: &'ctx Context,
|
||||
item: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> PointerType<'ctx> {
|
||||
let field_tys =
|
||||
Self::fields(item, llvm_usize).into_iter().map(|field| field.1).collect_vec();
|
||||
|
||||
ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
/// Creates an instance of [`ContiguousNDArrayType`].
|
||||
#[must_use]
|
||||
pub fn new<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
item: BasicTypeEnum<'ctx>,
|
||||
) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_cndarray = Self::llvm_type(ctx, item, llvm_usize);
|
||||
|
||||
Self { ty: llvm_cndarray, item, llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an [`ContiguousNDArrayType`] from a [unifier type][Type].
|
||||
#[must_use]
|
||||
pub fn from_unifier_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ty: Type,
|
||||
) -> Self {
|
||||
let (dtype, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
|
||||
|
||||
let llvm_dtype = ctx.get_llvm_type(generator, dtype);
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
Self { ty: Self::llvm_type(ctx.ctx, llvm_dtype, llvm_usize), item: llvm_dtype, llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an [`ContiguousNDArrayType`] from a [`PointerType`] representing an `NDArray`.
|
||||
#[must_use]
|
||||
pub fn from_type(
|
||||
ptr_ty: PointerType<'ctx>,
|
||||
item: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr_ty, llvm_usize).is_ok());
|
||||
|
||||
Self { ty: ptr_ty, item, llvm_usize }
|
||||
}
|
||||
|
||||
/// Allocates an instance of [`ContiguousNDArrayValue`] as if by calling `alloca` on the base type.
|
||||
#[must_use]
|
||||
pub fn alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca(generator, ctx, name),
|
||||
self.item,
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Converts an existing value into a [`ContiguousNDArrayValue`].
|
||||
#[must_use]
|
||||
pub fn map_value(
|
||||
&self,
|
||||
value: <<Self as ProxyType<'ctx>>::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
value,
|
||||
self.item,
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyType<'ctx> for ContiguousNDArrayType<'ctx> {
|
||||
type Base = PointerType<'ctx>;
|
||||
type Value = ContiguousNDArrayValue<'ctx>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
|
||||
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
|
||||
} else {
|
||||
Err(format!("Expected pointer type, got {llvm_ty:?}"))
|
||||
}
|
||||
}
|
||||
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
|
||||
}
|
||||
|
||||
fn raw_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self::Value as ProxyValue<'ctx>>::Base {
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
generator
|
||||
.gen_array_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
size,
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn as_base_type(&self) -> Self::Base {
|
||||
self.ty
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<ContiguousNDArrayType<'ctx>> for PointerType<'ctx> {
|
||||
fn from(value: ContiguousNDArrayType<'ctx>) -> Self {
|
||||
value.as_base_type()
|
||||
}
|
||||
}
|
||||
@ -1,215 +0,0 @@
|
||||
use inkwell::{
|
||||
context::{AsContextRef, Context},
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
use crate::codegen::{
|
||||
types::{
|
||||
structure::{check_struct_type_matches_fields, StructField, StructFields},
|
||||
ProxyType,
|
||||
},
|
||||
values::{
|
||||
ndarray::{NDIndexValue, RustNDIndex},
|
||||
ArrayLikeIndexer, ArraySliceValue, ProxyValue,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct NDIndexType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct NDIndexStructFields<'ctx> {
|
||||
#[value_type(i8_type())]
|
||||
pub type_: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
pub data: StructField<'ctx, PointerValue<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDIndexType<'ctx> {
|
||||
/// Checks whether `llvm_ty` represents a `ndindex` type, returning [Err] if it does not.
|
||||
pub fn is_representable(
|
||||
llvm_ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
let ctx = llvm_ty.get_context();
|
||||
|
||||
let llvm_ty = llvm_ty.get_element_type();
|
||||
let AnyTypeEnum::StructType(llvm_ty) = llvm_ty else {
|
||||
return Err(format!(
|
||||
"Expected struct type for `ContiguousNDArray` type, got {llvm_ty}"
|
||||
));
|
||||
};
|
||||
|
||||
let fields = NDIndexStructFields::new(ctx, llvm_usize);
|
||||
|
||||
check_struct_type_matches_fields(fields, llvm_ty, "NDIndex", &[])
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
fn fields(
|
||||
ctx: impl AsContextRef<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> NDIndexStructFields<'ctx> {
|
||||
NDIndexStructFields::new(ctx, llvm_usize)
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn get_fields(&self) -> NDIndexStructFields<'ctx> {
|
||||
Self::fields(self.ty.get_context(), self.llvm_usize)
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
fn llvm_type(ctx: &'ctx Context, llvm_usize: IntType<'ctx>) -> PointerType<'ctx> {
|
||||
let field_tys =
|
||||
Self::fields(ctx, llvm_usize).into_iter().map(|field| field.1).collect_vec();
|
||||
|
||||
ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn new<G: CodeGenerator + ?Sized>(generator: &G, ctx: &'ctx Context) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_ndindex = Self::llvm_type(ctx, llvm_usize);
|
||||
|
||||
Self { ty: llvm_ndindex, llvm_usize }
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn from_type(ptr_ty: PointerType<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr_ty, llvm_usize).is_ok());
|
||||
|
||||
Self { ty: ptr_ty, llvm_usize }
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca(generator, ctx, name),
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Serialize a list of [`RustNDIndex`] as a newly allocated LLVM array of [`NDIndexValue`].
|
||||
#[must_use]
|
||||
pub fn construct_ndindices<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
in_ndindices: &[RustNDIndex<'ctx>],
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
// Allocate the LLVM ndindices.
|
||||
let num_ndindices = self.llvm_usize.const_int(in_ndindices.len() as u64, false);
|
||||
let ndindices = self.array_alloca(generator, ctx, num_ndindices, None);
|
||||
|
||||
// Initialize all of them.
|
||||
for (i, in_ndindex) in in_ndindices.iter().enumerate() {
|
||||
let pndindex = unsafe {
|
||||
ndindices.ptr_offset_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&ctx.ctx.i64_type().const_int(u64::try_from(i).unwrap(), false),
|
||||
None,
|
||||
)
|
||||
};
|
||||
|
||||
in_ndindex.write_to_ndindex(
|
||||
generator,
|
||||
ctx,
|
||||
NDIndexValue::from_pointer_value(pndindex, self.llvm_usize, None),
|
||||
);
|
||||
}
|
||||
|
||||
ndindices
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn map_value(
|
||||
&self,
|
||||
value: <<Self as ProxyType<'ctx>>::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(value, self.llvm_usize, name)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyType<'ctx> for NDIndexType<'ctx> {
|
||||
type Base = PointerType<'ctx>;
|
||||
type Value = NDIndexValue<'ctx>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
|
||||
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
|
||||
} else {
|
||||
Err(format!("Expected pointer type, got {llvm_ty:?}"))
|
||||
}
|
||||
}
|
||||
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
|
||||
}
|
||||
|
||||
fn raw_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self::Value as ProxyValue<'ctx>>::Base {
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
generator
|
||||
.gen_array_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
size,
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn as_base_type(&self) -> Self::Base {
|
||||
self.ty
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<NDIndexType<'ctx>> for PointerType<'ctx> {
|
||||
fn from(value: NDIndexType<'ctx>) -> Self {
|
||||
value.as_base_type()
|
||||
}
|
||||
}
|
||||
@ -1,469 +0,0 @@
|
||||
use inkwell::{
|
||||
context::{AsContextRef, Context},
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::{BasicValue, IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
use super::{
|
||||
structure::{check_struct_type_matches_fields, StructField, StructFields},
|
||||
ProxyType,
|
||||
};
|
||||
use crate::{
|
||||
codegen::{
|
||||
values::{ndarray::NDArrayValue, ArraySliceValue, ProxyValue, TypedArrayLikeMutator},
|
||||
{CodeGenContext, CodeGenerator},
|
||||
},
|
||||
toplevel::{helper::extract_ndims, numpy::unpack_ndarray_var_tys},
|
||||
typecheck::typedef::Type,
|
||||
};
|
||||
pub use contiguous::*;
|
||||
pub use indexing::*;
|
||||
pub use nditer::*;
|
||||
|
||||
mod contiguous;
|
||||
mod indexing;
|
||||
mod nditer;
|
||||
|
||||
/// Proxy type for a `ndarray` type in LLVM.
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct NDArrayType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
ndims: Option<u64>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct NDArrayStructFields<'ctx> {
|
||||
/// The size of each `NDArray` element in bytes.
|
||||
#[value_type(usize)]
|
||||
pub itemsize: StructField<'ctx, IntValue<'ctx>>,
|
||||
/// Number of dimensions in the array.
|
||||
#[value_type(usize)]
|
||||
pub ndims: StructField<'ctx, IntValue<'ctx>>,
|
||||
/// Pointer to an array containing the shape of the `NDArray`.
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
pub shape: StructField<'ctx, PointerValue<'ctx>>,
|
||||
/// Pointer to an array indicating the number of bytes between each element at a dimension
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
pub strides: StructField<'ctx, PointerValue<'ctx>>,
|
||||
/// Pointer to an array containing the array data
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
pub data: StructField<'ctx, PointerValue<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayType<'ctx> {
|
||||
/// Checks whether `llvm_ty` represents a `ndarray` type, returning [Err] if it does not.
|
||||
pub fn is_representable(
|
||||
llvm_ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
let ctx = llvm_ty.get_context();
|
||||
|
||||
let llvm_ndarray_ty = llvm_ty.get_element_type();
|
||||
let AnyTypeEnum::StructType(llvm_ndarray_ty) = llvm_ndarray_ty else {
|
||||
return Err(format!("Expected struct type for `NDArray` type, got {llvm_ndarray_ty}"));
|
||||
};
|
||||
|
||||
check_struct_type_matches_fields(
|
||||
Self::fields(ctx, llvm_usize),
|
||||
llvm_ndarray_ty,
|
||||
"NDArray",
|
||||
&[],
|
||||
)
|
||||
}
|
||||
|
||||
/// Returns an instance of [`StructFields`] containing all field accessors for this type.
|
||||
#[must_use]
|
||||
fn fields(
|
||||
ctx: impl AsContextRef<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> NDArrayStructFields<'ctx> {
|
||||
NDArrayStructFields::new(ctx, llvm_usize)
|
||||
}
|
||||
|
||||
/// See [`NDArrayType::fields`].
|
||||
// TODO: Move this into e.g. StructProxyType
|
||||
#[must_use]
|
||||
pub fn get_fields(&self, ctx: impl AsContextRef<'ctx>) -> NDArrayStructFields<'ctx> {
|
||||
Self::fields(ctx, self.llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an LLVM type corresponding to the expected structure of an `NDArray`.
|
||||
#[must_use]
|
||||
fn llvm_type(ctx: &'ctx Context, llvm_usize: IntType<'ctx>) -> PointerType<'ctx> {
|
||||
let field_tys =
|
||||
Self::fields(ctx, llvm_usize).into_iter().map(|field| field.1).collect_vec();
|
||||
|
||||
ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
/// Creates an instance of [`NDArrayType`].
|
||||
#[must_use]
|
||||
pub fn new<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
ndims: Option<u64>,
|
||||
) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_ndarray = Self::llvm_type(ctx, llvm_usize);
|
||||
|
||||
NDArrayType { ty: llvm_ndarray, dtype, ndims, llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an instance of [`NDArrayType`] with `ndims` of 0.
|
||||
#[must_use]
|
||||
pub fn new_unsized<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_ndarray = Self::llvm_type(ctx, llvm_usize);
|
||||
|
||||
NDArrayType { ty: llvm_ndarray, dtype, ndims: Some(0), llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an [`NDArrayType`] from a [unifier type][Type].
|
||||
#[must_use]
|
||||
pub fn from_unifier_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ty: Type,
|
||||
) -> Self {
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
|
||||
|
||||
let llvm_dtype = ctx.get_llvm_type(generator, dtype);
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let ndims = extract_ndims(&ctx.unifier, ndims);
|
||||
|
||||
NDArrayType {
|
||||
ty: Self::llvm_type(ctx.ctx, llvm_usize),
|
||||
dtype: llvm_dtype,
|
||||
ndims: Some(ndims),
|
||||
llvm_usize,
|
||||
}
|
||||
}
|
||||
|
||||
/// Creates an [`NDArrayType`] from a [`PointerType`] representing an `NDArray`.
|
||||
#[must_use]
|
||||
pub fn from_type(
|
||||
ptr_ty: PointerType<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
ndims: Option<u64>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr_ty, llvm_usize).is_ok());
|
||||
|
||||
NDArrayType { ty: ptr_ty, dtype, ndims, llvm_usize }
|
||||
}
|
||||
|
||||
/// Returns the type of the `size` field of this `ndarray` type.
|
||||
#[must_use]
|
||||
pub fn size_type(&self) -> IntType<'ctx> {
|
||||
self.llvm_usize
|
||||
}
|
||||
|
||||
/// Returns the element type of this `ndarray` type.
|
||||
#[must_use]
|
||||
pub fn element_type(&self) -> BasicTypeEnum<'ctx> {
|
||||
self.dtype
|
||||
}
|
||||
|
||||
/// Returns the number of dimensions of this `ndarray` type.
|
||||
#[must_use]
|
||||
pub fn ndims(&self) -> Option<u64> {
|
||||
self.ndims
|
||||
}
|
||||
|
||||
/// Allocates an instance of [`NDArrayValue`] as if by calling `alloca` on the base type.
|
||||
#[must_use]
|
||||
pub fn alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca(generator, ctx, name),
|
||||
self.dtype,
|
||||
self.ndims,
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Allocates an [`NDArrayValue`] on the stack and initializes all fields as follows:
|
||||
///
|
||||
/// - `data`: uninitialized.
|
||||
/// - `itemsize`: set to the size of `self.dtype`.
|
||||
/// - `ndims`: set to the value of `ndims`.
|
||||
/// - `shape`: allocated on the stack with an array of length `ndims` with uninitialized values.
|
||||
/// - `strides`: allocated on the stack with an array of length `ndims` with uninitialized
|
||||
/// values.
|
||||
#[must_use]
|
||||
fn construct_impl<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndims: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
let ndarray = self.alloca(generator, ctx, name);
|
||||
|
||||
let itemsize = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(self.dtype.size_of().unwrap(), self.llvm_usize, "")
|
||||
.unwrap();
|
||||
ndarray.store_itemsize(ctx, generator, itemsize);
|
||||
|
||||
ndarray.store_ndims(ctx, generator, ndims);
|
||||
|
||||
ndarray.create_shape(ctx, self.llvm_usize, ndims);
|
||||
ndarray.create_strides(ctx, self.llvm_usize, ndims);
|
||||
|
||||
ndarray
|
||||
}
|
||||
|
||||
/// Allocate an [`NDArrayValue`] on the stack using `dtype` and `ndims` of this [`NDArrayType`]
|
||||
/// instance.
|
||||
///
|
||||
/// The returned ndarray's content will be:
|
||||
/// - `data`: uninitialized.
|
||||
/// - `itemsize`: set to the size of `dtype`.
|
||||
/// - `ndims`: set to the value of `self.ndims`.
|
||||
/// - `shape`: allocated on the stack with an array of length `ndims` with uninitialized values.
|
||||
/// - `strides`: allocated on the stack with an array of length `ndims` with uninitialized
|
||||
/// values.
|
||||
#[must_use]
|
||||
pub fn construct_uninitialized<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
assert!(self.ndims.is_some(), "NDArrayType::construct can only be called on an instance with compile-time known ndims (self.ndims = Some(ndims))");
|
||||
|
||||
let Some(ndims) = self.ndims.map(|ndims| self.llvm_usize.const_int(ndims, false)) else {
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
self.construct_impl(generator, ctx, ndims, name)
|
||||
}
|
||||
|
||||
/// Allocate an [`NDArrayValue`] on the stack given its `ndims` and `dtype`.
|
||||
///
|
||||
/// `shape` and `strides` will be automatically allocated onto the stack.
|
||||
///
|
||||
/// The returned ndarray's content will be:
|
||||
/// - `data`: uninitialized.
|
||||
/// - `itemsize`: set to the size of `dtype`.
|
||||
/// - `ndims`: set to the value of `ndims`.
|
||||
/// - `shape`: allocated with an array of length `ndims` with uninitialized values.
|
||||
/// - `strides`: allocated with an array of length `ndims` with uninitialized values.
|
||||
#[deprecated = "Prefer construct_uninitialized or construct_*_shape."]
|
||||
#[must_use]
|
||||
pub fn construct_dyn_ndims<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndims: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
assert!(self.ndims.is_none(), "NDArrayType::construct_dyn_ndims can only be called on an instance with compile-time unknown ndims (self.ndims = None)");
|
||||
|
||||
self.construct_impl(generator, ctx, ndims, name)
|
||||
}
|
||||
|
||||
/// Convenience function. Allocate an [`NDArrayValue`] with a statically known shape.
|
||||
///
|
||||
/// The returned [`NDArrayValue`]'s `data` and `strides` are uninitialized.
|
||||
#[must_use]
|
||||
pub fn construct_const_shape<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
shape: &[u64],
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
assert!(self.ndims.is_none_or(|ndims| shape.len() as u64 == ndims));
|
||||
|
||||
let ndarray = Self::new(generator, ctx.ctx, self.dtype, Some(shape.len() as u64))
|
||||
.construct_uninitialized(generator, ctx, name);
|
||||
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
// Write shape
|
||||
let ndarray_shape = ndarray.shape();
|
||||
for (i, dim) in shape.iter().enumerate() {
|
||||
let dim = llvm_usize.const_int(*dim, false);
|
||||
unsafe {
|
||||
ndarray_shape.set_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(i as u64, false),
|
||||
dim,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
ndarray
|
||||
}
|
||||
|
||||
/// Convenience function. Allocate an [`NDArrayValue`] with a dynamically known shape.
|
||||
///
|
||||
/// The returned [`NDArrayValue`]'s `data` and `strides` are uninitialized.
|
||||
#[must_use]
|
||||
pub fn construct_dyn_shape<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
shape: &[IntValue<'ctx>],
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
assert!(self.ndims.is_none_or(|ndims| shape.len() as u64 == ndims));
|
||||
|
||||
let ndarray = Self::new(generator, ctx.ctx, self.dtype, Some(shape.len() as u64))
|
||||
.construct_uninitialized(generator, ctx, name);
|
||||
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
// Write shape
|
||||
let ndarray_shape = ndarray.shape();
|
||||
for (i, dim) in shape.iter().enumerate() {
|
||||
assert_eq!(
|
||||
dim.get_type(),
|
||||
llvm_usize,
|
||||
"Expected {} but got {}",
|
||||
llvm_usize.print_to_string(),
|
||||
dim.get_type().print_to_string()
|
||||
);
|
||||
unsafe {
|
||||
ndarray_shape.set_typed_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_int(i as u64, false),
|
||||
*dim,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
ndarray
|
||||
}
|
||||
|
||||
/// Create an unsized ndarray to contain `value`.
|
||||
#[must_use]
|
||||
pub fn construct_unsized<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
value: &impl BasicValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> NDArrayValue<'ctx> {
|
||||
let value = value.as_basic_value_enum();
|
||||
|
||||
assert_eq!(value.get_type(), self.dtype);
|
||||
assert!(self.ndims.is_none_or(|ndims| ndims == 0));
|
||||
|
||||
// We have to put the value on the stack to get a data pointer.
|
||||
let data = ctx.builder.build_alloca(value.get_type(), "construct_unsized").unwrap();
|
||||
ctx.builder.build_store(data, value).unwrap();
|
||||
let data = ctx
|
||||
.builder
|
||||
.build_pointer_cast(data, ctx.ctx.i8_type().ptr_type(AddressSpace::default()), "")
|
||||
.unwrap();
|
||||
|
||||
let ndarray = Self::new_unsized(generator, ctx.ctx, value.get_type())
|
||||
.construct_uninitialized(generator, ctx, name);
|
||||
ctx.builder.build_store(ndarray.ptr_to_data(ctx), data).unwrap();
|
||||
ndarray
|
||||
}
|
||||
|
||||
/// Converts an existing value into a [`NDArrayValue`].
|
||||
#[must_use]
|
||||
pub fn map_value(
|
||||
&self,
|
||||
value: <<Self as ProxyType<'ctx>>::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
value,
|
||||
self.dtype,
|
||||
self.ndims,
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyType<'ctx> for NDArrayType<'ctx> {
|
||||
type Base = PointerType<'ctx>;
|
||||
type Value = NDArrayValue<'ctx>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
|
||||
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
|
||||
} else {
|
||||
Err(format!("Expected pointer type, got {llvm_ty:?}"))
|
||||
}
|
||||
}
|
||||
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
|
||||
}
|
||||
|
||||
fn raw_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self::Value as ProxyValue<'ctx>>::Base {
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
generator
|
||||
.gen_array_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
size,
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn as_base_type(&self) -> Self::Base {
|
||||
self.ty
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<NDArrayType<'ctx>> for PointerType<'ctx> {
|
||||
fn from(value: NDArrayType<'ctx>) -> Self {
|
||||
value.as_base_type()
|
||||
}
|
||||
}
|
||||
@ -1,241 +0,0 @@
|
||||
use inkwell::{
|
||||
context::{AsContextRef, Context},
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
use super::ProxyType;
|
||||
use crate::codegen::{
|
||||
irrt,
|
||||
types::structure::{check_struct_type_matches_fields, StructField, StructFields},
|
||||
values::{
|
||||
ndarray::{NDArrayValue, NDIterValue},
|
||||
ArraySliceValue, ProxyValue,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct NDIterType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct NDIterStructFields<'ctx> {
|
||||
#[value_type(usize)]
|
||||
pub ndims: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
pub shape: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
pub strides: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
pub indices: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
pub nth: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
pub element: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
pub size: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDIterType<'ctx> {
|
||||
/// Checks whether `llvm_ty` represents a `nditer` type, returning [Err] if it does not.
|
||||
pub fn is_representable(
|
||||
llvm_ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
let ctx = llvm_ty.get_context();
|
||||
|
||||
let llvm_ty = llvm_ty.get_element_type();
|
||||
let AnyTypeEnum::StructType(llvm_ndarray_ty) = llvm_ty else {
|
||||
return Err(format!("Expected struct type for `NDIter` type, got {llvm_ty}"));
|
||||
};
|
||||
|
||||
check_struct_type_matches_fields(
|
||||
Self::fields(ctx, llvm_usize),
|
||||
llvm_ndarray_ty,
|
||||
"NDIter",
|
||||
&[],
|
||||
)
|
||||
}
|
||||
|
||||
/// Returns an instance of [`StructFields`] containing all field accessors for this type.
|
||||
#[must_use]
|
||||
fn fields(ctx: impl AsContextRef<'ctx>, llvm_usize: IntType<'ctx>) -> NDIterStructFields<'ctx> {
|
||||
NDIterStructFields::new(ctx, llvm_usize)
|
||||
}
|
||||
|
||||
/// See [`NDIterType::fields`].
|
||||
// TODO: Move this into e.g. StructProxyType
|
||||
#[must_use]
|
||||
pub fn get_fields(&self, ctx: impl AsContextRef<'ctx>) -> NDIterStructFields<'ctx> {
|
||||
Self::fields(ctx, self.llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an LLVM type corresponding to the expected structure of an `NDIter`.
|
||||
#[must_use]
|
||||
fn llvm_type(ctx: &'ctx Context, llvm_usize: IntType<'ctx>) -> PointerType<'ctx> {
|
||||
let field_tys =
|
||||
Self::fields(ctx, llvm_usize).into_iter().map(|field| field.1).collect_vec();
|
||||
|
||||
ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
/// Creates an instance of [`NDIter`].
|
||||
#[must_use]
|
||||
pub fn new<G: CodeGenerator + ?Sized>(generator: &G, ctx: &'ctx Context) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_nditer = Self::llvm_type(ctx, llvm_usize);
|
||||
|
||||
Self { ty: llvm_nditer, llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an [`NDIterType`] from a [`PointerType`] representing an `NDIter`.
|
||||
#[must_use]
|
||||
pub fn from_type(ptr_ty: PointerType<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr_ty, llvm_usize).is_ok());
|
||||
|
||||
Self { ty: ptr_ty, llvm_usize }
|
||||
}
|
||||
|
||||
/// Returns the type of the `size` field of this `nditer` type.
|
||||
#[must_use]
|
||||
pub fn size_type(&self) -> IntType<'ctx> {
|
||||
self.llvm_usize
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
parent: NDArrayValue<'ctx>,
|
||||
indices: ArraySliceValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca(generator, ctx, name),
|
||||
parent,
|
||||
indices,
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Allocate an [`NDIter`] that iterates through the given `ndarray`.
|
||||
#[must_use]
|
||||
pub fn construct<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
let nditer = self.raw_alloca(generator, ctx, None);
|
||||
let ndims = ndarray.load_ndims(ctx);
|
||||
|
||||
// The caller has the responsibility to allocate 'indices' for `NDIter`.
|
||||
let indices =
|
||||
generator.gen_array_var_alloc(ctx, self.llvm_usize.into(), ndims, None).unwrap();
|
||||
|
||||
let nditer = <Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
nditer,
|
||||
ndarray,
|
||||
indices,
|
||||
self.llvm_usize,
|
||||
None,
|
||||
);
|
||||
|
||||
irrt::ndarray::call_nac3_nditer_initialize(generator, ctx, nditer, ndarray, indices);
|
||||
|
||||
nditer
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn map_value(
|
||||
&self,
|
||||
value: <<Self as ProxyType<'ctx>>::Value as ProxyValue<'ctx>>::Base,
|
||||
parent: NDArrayValue<'ctx>,
|
||||
indices: ArraySliceValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
value,
|
||||
parent,
|
||||
indices,
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyType<'ctx> for NDIterType<'ctx> {
|
||||
type Base = PointerType<'ctx>;
|
||||
type Value = NDIterValue<'ctx>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
|
||||
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
|
||||
} else {
|
||||
Err(format!("Expected pointer type, got {llvm_ty:?}"))
|
||||
}
|
||||
}
|
||||
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
|
||||
}
|
||||
|
||||
fn raw_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self::Value as ProxyValue<'ctx>>::Base {
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
generator
|
||||
.gen_array_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
size,
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn as_base_type(&self) -> Self::Base {
|
||||
self.ty
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<NDIterType<'ctx>> for PointerType<'ctx> {
|
||||
fn from(value: NDIterType<'ctx>) -> Self {
|
||||
value.as_base_type()
|
||||
}
|
||||
}
|
||||
@ -1,170 +0,0 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::IntValue,
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use super::ProxyType;
|
||||
use crate::codegen::{
|
||||
values::{ArraySliceValue, ProxyValue, RangeValue},
|
||||
{CodeGenContext, CodeGenerator},
|
||||
};
|
||||
|
||||
/// Proxy type for a `range` type in LLVM.
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct RangeType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
}
|
||||
|
||||
impl<'ctx> RangeType<'ctx> {
|
||||
/// Checks whether `llvm_ty` represents a `range` type, returning [Err] if it does not.
|
||||
pub fn is_representable(llvm_ty: PointerType<'ctx>) -> Result<(), String> {
|
||||
let llvm_range_ty = llvm_ty.get_element_type();
|
||||
let AnyTypeEnum::ArrayType(llvm_range_ty) = llvm_range_ty else {
|
||||
return Err(format!("Expected array type for `range` type, got {llvm_range_ty}"));
|
||||
};
|
||||
if llvm_range_ty.len() != 3 {
|
||||
return Err(format!(
|
||||
"Expected 3 elements for `range` type, got {}",
|
||||
llvm_range_ty.len()
|
||||
));
|
||||
}
|
||||
|
||||
let llvm_range_elem_ty = llvm_range_ty.get_element_type();
|
||||
let Ok(llvm_range_elem_ty) = IntType::try_from(llvm_range_elem_ty) else {
|
||||
return Err(format!(
|
||||
"Expected int type for `range` element type, got {llvm_range_elem_ty}"
|
||||
));
|
||||
};
|
||||
if llvm_range_elem_ty.get_bit_width() != 32 {
|
||||
return Err(format!(
|
||||
"Expected 32-bit int type for `range` element type, got {}",
|
||||
llvm_range_elem_ty.get_bit_width()
|
||||
));
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Creates an LLVM type corresponding to the expected structure of a `Range`.
|
||||
#[must_use]
|
||||
fn llvm_type(ctx: &'ctx Context) -> PointerType<'ctx> {
|
||||
// typedef int32_t Range[3];
|
||||
let llvm_i32 = ctx.i32_type();
|
||||
llvm_i32.array_type(3).ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
/// Creates an instance of [`RangeType`].
|
||||
#[must_use]
|
||||
pub fn new(ctx: &'ctx Context) -> Self {
|
||||
let llvm_range = Self::llvm_type(ctx);
|
||||
|
||||
RangeType::from_type(llvm_range)
|
||||
}
|
||||
|
||||
/// Creates an [`RangeType`] from a [`PointerType`].
|
||||
#[must_use]
|
||||
pub fn from_type(ptr_ty: PointerType<'ctx>) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr_ty).is_ok());
|
||||
|
||||
RangeType { ty: ptr_ty }
|
||||
}
|
||||
|
||||
/// Returns the type of all fields of this `range` type.
|
||||
#[must_use]
|
||||
pub fn value_type(&self) -> IntType<'ctx> {
|
||||
self.as_base_type().get_element_type().into_array_type().get_element_type().into_int_type()
|
||||
}
|
||||
|
||||
/// Allocates an instance of [`RangeValue`] as if by calling `alloca` on the base type.
|
||||
#[must_use]
|
||||
pub fn alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca(generator, ctx, name),
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Converts an existing value into a [`RangeValue`].
|
||||
#[must_use]
|
||||
pub fn map_value(
|
||||
&self,
|
||||
value: <<Self as ProxyType<'ctx>>::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(value, name)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyType<'ctx> for RangeType<'ctx> {
|
||||
type Base = PointerType<'ctx>;
|
||||
type Value = RangeValue<'ctx>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
|
||||
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
|
||||
} else {
|
||||
Err(format!("Expected pointer type, got {llvm_ty:?}"))
|
||||
}
|
||||
}
|
||||
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
_: &G,
|
||||
_: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_representable(llvm_ty)
|
||||
}
|
||||
|
||||
fn raw_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self::Value as ProxyValue<'ctx>>::Base {
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
generator
|
||||
.gen_array_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
size,
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn as_base_type(&self) -> Self::Base {
|
||||
self.ty
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<RangeType<'ctx>> for PointerType<'ctx> {
|
||||
fn from(value: RangeType<'ctx>) -> Self {
|
||||
value.as_base_type()
|
||||
}
|
||||
}
|
||||
@ -1,255 +0,0 @@
|
||||
use std::marker::PhantomData;
|
||||
|
||||
use inkwell::{
|
||||
context::AsContextRef,
|
||||
types::{BasicTypeEnum, IntType, StructType},
|
||||
values::{BasicValue, BasicValueEnum, IntValue, PointerValue, StructValue},
|
||||
};
|
||||
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
/// Trait indicating that the structure is a field-wise representation of an LLVM structure.
|
||||
///
|
||||
/// # Usage
|
||||
///
|
||||
/// For example, for a simple C-slice LLVM structure:
|
||||
///
|
||||
/// ```ignore
|
||||
/// struct CSliceFields<'ctx> {
|
||||
/// ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
/// len: StructField<'ctx, IntValue<'ctx>>
|
||||
/// }
|
||||
/// ```
|
||||
pub trait StructFields<'ctx>: Eq + Copy {
|
||||
/// Creates an instance of [`StructFields`] using the given `ctx` and `size_t` types.
|
||||
fn new(ctx: impl AsContextRef<'ctx>, llvm_usize: IntType<'ctx>) -> Self;
|
||||
|
||||
/// Returns a [`Vec`] that contains the fields of the structure in the order as they appear in
|
||||
/// the type definition.
|
||||
#[must_use]
|
||||
fn to_vec(&self) -> Vec<(&'static str, BasicTypeEnum<'ctx>)>;
|
||||
|
||||
/// Returns a [`Iterator`] that contains the fields of the structure in the order as they appear
|
||||
/// in the type definition.
|
||||
#[must_use]
|
||||
fn iter(&self) -> impl Iterator<Item = (&'static str, BasicTypeEnum<'ctx>)> {
|
||||
self.to_vec().into_iter()
|
||||
}
|
||||
|
||||
/// Returns a [`Vec`] that contains the fields of the structure in the order as they appear in
|
||||
/// the type definition.
|
||||
#[must_use]
|
||||
fn into_vec(self) -> Vec<(&'static str, BasicTypeEnum<'ctx>)>
|
||||
where
|
||||
Self: Sized,
|
||||
{
|
||||
self.to_vec()
|
||||
}
|
||||
|
||||
/// Returns a [`Iterator`] that contains the fields of the structure in the order as they appear
|
||||
/// in the type definition.
|
||||
#[must_use]
|
||||
fn into_iter(self) -> impl Iterator<Item = (&'static str, BasicTypeEnum<'ctx>)>
|
||||
where
|
||||
Self: Sized,
|
||||
{
|
||||
self.into_vec().into_iter()
|
||||
}
|
||||
}
|
||||
|
||||
/// A single field of an LLVM structure.
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct StructField<'ctx, Value>
|
||||
where
|
||||
Value: BasicValue<'ctx> + TryFrom<BasicValueEnum<'ctx>, Error = ()>,
|
||||
{
|
||||
/// The index of this field within the structure.
|
||||
index: u32,
|
||||
|
||||
/// The name of this field.
|
||||
name: &'static str,
|
||||
|
||||
/// The type of this field.
|
||||
ty: BasicTypeEnum<'ctx>,
|
||||
|
||||
/// Instance of [`PhantomData`] containing [`Value`], used to implement automatic downcasts.
|
||||
_value_ty: PhantomData<Value>,
|
||||
}
|
||||
|
||||
impl<'ctx, Value> StructField<'ctx, Value>
|
||||
where
|
||||
Value: BasicValue<'ctx> + TryFrom<BasicValueEnum<'ctx>, Error = ()>,
|
||||
{
|
||||
/// Creates an instance of [`StructField`].
|
||||
///
|
||||
/// * `idx_counter` - The instance of [`FieldIndexCounter`] used to track the current field
|
||||
/// index.
|
||||
/// * `name` - Name of the field.
|
||||
/// * `ty` - The type of this field.
|
||||
pub fn create(
|
||||
idx_counter: &mut FieldIndexCounter,
|
||||
name: &'static str,
|
||||
ty: impl Into<BasicTypeEnum<'ctx>>,
|
||||
) -> Self {
|
||||
StructField { index: idx_counter.increment(), name, ty: ty.into(), _value_ty: PhantomData }
|
||||
}
|
||||
|
||||
/// Creates an instance of [`StructField`] with a given index.
|
||||
///
|
||||
/// * `index` - The index of this field within its enclosing structure.
|
||||
/// * `name` - Name of the field.
|
||||
/// * `ty` - The type of this field.
|
||||
pub fn create_at(index: u32, name: &'static str, ty: impl Into<BasicTypeEnum<'ctx>>) -> Self {
|
||||
StructField { index, name, ty: ty.into(), _value_ty: PhantomData }
|
||||
}
|
||||
|
||||
/// Returns the name of this field.
|
||||
#[must_use]
|
||||
pub fn name(&self) -> &'static str {
|
||||
self.name
|
||||
}
|
||||
|
||||
/// Creates a pointer to this field in an arbitrary structure by performing a `getelementptr i32
|
||||
/// {idx...}, i32 {self.index}`.
|
||||
pub fn ptr_by_array_gep(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
pobj: PointerValue<'ctx>,
|
||||
idx: &[IntValue<'ctx>],
|
||||
) -> PointerValue<'ctx> {
|
||||
unsafe {
|
||||
ctx.builder.build_in_bounds_gep(
|
||||
pobj,
|
||||
&[idx, &[ctx.ctx.i32_type().const_int(u64::from(self.index), false)]].concat(),
|
||||
"",
|
||||
)
|
||||
}
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Creates a pointer to this field in an arbitrary structure by performing the equivalent of
|
||||
/// `getelementptr i32 0, i32 {self.index}`.
|
||||
pub fn ptr_by_gep(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
pobj: PointerValue<'ctx>,
|
||||
obj_name: Option<&'ctx str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
ctx.builder
|
||||
.build_struct_gep(
|
||||
pobj,
|
||||
self.index,
|
||||
&obj_name.map(|name| format!("{name}.{}.addr", self.name)).unwrap_or_default(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Gets the value of this field for a given `obj`.
|
||||
#[must_use]
|
||||
pub fn get_from_value(&self, obj: StructValue<'ctx>) -> Value {
|
||||
obj.get_field_at_index(self.index).and_then(|value| Value::try_from(value).ok()).unwrap()
|
||||
}
|
||||
|
||||
/// Sets the value of this field for a given `obj`.
|
||||
pub fn set_for_value(&self, obj: StructValue<'ctx>, value: Value) {
|
||||
obj.set_field_at_index(self.index, value);
|
||||
}
|
||||
|
||||
/// Gets the value of this field for a pointer-to-structure.
|
||||
pub fn get(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
pobj: PointerValue<'ctx>,
|
||||
obj_name: Option<&'ctx str>,
|
||||
) -> Value {
|
||||
ctx.builder
|
||||
.build_load(
|
||||
self.ptr_by_gep(ctx, pobj, obj_name),
|
||||
&obj_name.map(|name| format!("{name}.{}", self.name)).unwrap_or_default(),
|
||||
)
|
||||
.map_err(|_| ())
|
||||
.and_then(|value| Value::try_from(value))
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Sets the value of this field for a pointer-to-structure.
|
||||
pub fn set(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
pobj: PointerValue<'ctx>,
|
||||
value: Value,
|
||||
obj_name: Option<&'ctx str>,
|
||||
) {
|
||||
ctx.builder.build_store(self.ptr_by_gep(ctx, pobj, obj_name), value).unwrap();
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, Value> From<StructField<'ctx, Value>> for (&'static str, BasicTypeEnum<'ctx>)
|
||||
where
|
||||
Value: BasicValue<'ctx> + TryFrom<BasicValueEnum<'ctx>, Error = ()>,
|
||||
{
|
||||
fn from(value: StructField<'ctx, Value>) -> Self {
|
||||
(value.name, value.ty)
|
||||
}
|
||||
}
|
||||
|
||||
/// A counter that tracks the next index of a field using a monotonically increasing counter.
|
||||
#[derive(Default, Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct FieldIndexCounter(u32);
|
||||
|
||||
impl FieldIndexCounter {
|
||||
/// Increments the number stored by this counter, returning the previous value.
|
||||
///
|
||||
/// Functionally equivalent to `i++` in C-based languages.
|
||||
pub fn increment(&mut self) -> u32 {
|
||||
let v = self.0;
|
||||
self.0 += 1;
|
||||
v
|
||||
}
|
||||
}
|
||||
|
||||
type FieldTypeVerifier<'ctx> = dyn Fn(BasicTypeEnum<'ctx>) -> Result<(), String>;
|
||||
|
||||
/// Checks whether [`llvm_ty`][StructType] contains the fields described by the given
|
||||
/// [`StructFields`] instance.
|
||||
///
|
||||
/// By default, this function will compare the type of each field in `expected_fields` against
|
||||
/// `llvm_ty`. To override this behavior for individual fields, pass in overrides to
|
||||
/// `custom_verifiers`, which will use the specified verifier when a field with the matching field
|
||||
/// name is being checked.
|
||||
pub(super) fn check_struct_type_matches_fields<'ctx>(
|
||||
expected_fields: impl StructFields<'ctx>,
|
||||
llvm_ty: StructType<'ctx>,
|
||||
ty_name: &'static str,
|
||||
custom_verifiers: &[(&str, &FieldTypeVerifier<'ctx>)],
|
||||
) -> Result<(), String> {
|
||||
let expected_fields = expected_fields.to_vec();
|
||||
|
||||
if llvm_ty.count_fields() != u32::try_from(expected_fields.len()).unwrap() {
|
||||
return Err(format!(
|
||||
"Expected {} fields in `{ty_name}`, got {}",
|
||||
expected_fields.len(),
|
||||
llvm_ty.count_fields(),
|
||||
));
|
||||
}
|
||||
|
||||
expected_fields
|
||||
.into_iter()
|
||||
.enumerate()
|
||||
.map(|(i, (field_name, expected_ty))| {
|
||||
(field_name, expected_ty, llvm_ty.get_field_type_at_index(i as u32).unwrap())
|
||||
})
|
||||
.try_for_each(|(field_name, expected_ty, actual_ty)| {
|
||||
if let Some((_, verifier)) =
|
||||
custom_verifiers.iter().find(|verifier| verifier.0 == field_name)
|
||||
{
|
||||
verifier(actual_ty)
|
||||
} else if expected_ty == actual_ty {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(format!("Expected {expected_ty} for `{ty_name}.{field_name}`, got {actual_ty}"))
|
||||
}
|
||||
})?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
@ -1,3 +0,0 @@
|
||||
pub use slice::*;
|
||||
|
||||
mod slice;
|
||||
@ -1,254 +0,0 @@
|
||||
use inkwell::{
|
||||
context::{AsContextRef, Context, ContextRef},
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::IntValue,
|
||||
AddressSpace,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
use crate::codegen::{
|
||||
types::{
|
||||
structure::{
|
||||
check_struct_type_matches_fields, FieldIndexCounter, StructField, StructFields,
|
||||
},
|
||||
ProxyType,
|
||||
},
|
||||
values::{utils::SliceValue, ArraySliceValue, ProxyValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct SliceType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
int_ty: IntType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceFields<'ctx> {
|
||||
#[value_type(bool_type())]
|
||||
pub start_defined: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
pub start: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(bool_type())]
|
||||
pub stop_defined: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
pub stop: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(bool_type())]
|
||||
pub step_defined: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
pub step: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> SliceFields<'ctx> {
|
||||
/// Creates a new instance of [`SliceFields`] with a custom integer type for its range values.
|
||||
#[must_use]
|
||||
pub fn new_sized(ctx: &impl AsContextRef<'ctx>, int_ty: IntType<'ctx>) -> Self {
|
||||
let ctx = unsafe { ContextRef::new(ctx.as_ctx_ref()) };
|
||||
let mut counter = FieldIndexCounter::default();
|
||||
|
||||
SliceFields {
|
||||
start_defined: StructField::create(&mut counter, "start_defined", ctx.bool_type()),
|
||||
start: StructField::create(&mut counter, "start", int_ty),
|
||||
stop_defined: StructField::create(&mut counter, "stop_defined", ctx.bool_type()),
|
||||
stop: StructField::create(&mut counter, "stop", int_ty),
|
||||
step_defined: StructField::create(&mut counter, "step_defined", ctx.bool_type()),
|
||||
step: StructField::create(&mut counter, "step", int_ty),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> SliceType<'ctx> {
|
||||
/// Checks whether `llvm_ty` represents a `slice` type, returning [Err] if it does not.
|
||||
pub fn is_representable(
|
||||
llvm_ty: PointerType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
let ctx = llvm_ty.get_context();
|
||||
|
||||
let fields = SliceFields::new(ctx, llvm_usize);
|
||||
|
||||
let llvm_ty = llvm_ty.get_element_type();
|
||||
let AnyTypeEnum::StructType(llvm_ty) = llvm_ty else {
|
||||
return Err(format!("Expected struct type for `Slice` type, got {llvm_ty}"));
|
||||
};
|
||||
|
||||
check_struct_type_matches_fields(
|
||||
fields,
|
||||
llvm_ty,
|
||||
"Slice",
|
||||
&[
|
||||
(fields.start.name(), &|ty| {
|
||||
if ty.is_int_type() {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(format!("Expected int type for `Slice.start`, got {ty}"))
|
||||
}
|
||||
}),
|
||||
(fields.stop.name(), &|ty| {
|
||||
if ty.is_int_type() {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(format!("Expected int type for `Slice.stop`, got {ty}"))
|
||||
}
|
||||
}),
|
||||
(fields.step.name(), &|ty| {
|
||||
if ty.is_int_type() {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(format!("Expected int type for `Slice.step`, got {ty}"))
|
||||
}
|
||||
}),
|
||||
],
|
||||
)
|
||||
}
|
||||
|
||||
// TODO: Move this into e.g. StructProxyType
|
||||
#[must_use]
|
||||
pub fn get_fields(&self) -> SliceFields<'ctx> {
|
||||
SliceFields::new_sized(&self.int_ty.get_context(), self.int_ty)
|
||||
}
|
||||
|
||||
/// Creates an LLVM type corresponding to the expected structure of a `Slice`.
|
||||
#[must_use]
|
||||
fn llvm_type(ctx: &'ctx Context, int_ty: IntType<'ctx>) -> PointerType<'ctx> {
|
||||
let field_tys = SliceFields::new_sized(&int_ty.get_context(), int_ty)
|
||||
.into_iter()
|
||||
.map(|field| field.1)
|
||||
.collect_vec();
|
||||
|
||||
ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
/// Creates an instance of [`SliceType`] with `int_ty` as its backing integer type.
|
||||
#[must_use]
|
||||
pub fn new(ctx: &'ctx Context, int_ty: IntType<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
|
||||
let llvm_ty = Self::llvm_type(ctx, int_ty);
|
||||
|
||||
Self { ty: llvm_ty, int_ty, llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an instance of [`SliceType`] with `usize` as its backing integer type.
|
||||
#[must_use]
|
||||
pub fn new_usize<G: CodeGenerator + ?Sized>(generator: &G, ctx: &'ctx Context) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
Self::new(ctx, llvm_usize, llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an [`SliceType`] from a [`PointerType`] representing a `slice`.
|
||||
#[must_use]
|
||||
pub fn from_type(
|
||||
ptr_ty: PointerType<'ctx>,
|
||||
int_ty: IntType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr_ty, int_ty).is_ok());
|
||||
|
||||
Self { ty: ptr_ty, int_ty, llvm_usize }
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn element_type(&self) -> IntType<'ctx> {
|
||||
self.int_ty
|
||||
}
|
||||
|
||||
/// Allocates an instance of [`ContiguousNDArrayValue`] as if by calling `alloca` on the base type.
|
||||
#[must_use]
|
||||
pub fn alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca(generator, ctx, name),
|
||||
self.int_ty,
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Converts an existing value into a [`ContiguousNDArrayValue`].
|
||||
#[must_use]
|
||||
pub fn map_value(
|
||||
&self,
|
||||
value: <<Self as ProxyType<'ctx>>::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
value,
|
||||
self.int_ty,
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyType<'ctx> for SliceType<'ctx> {
|
||||
type Base = PointerType<'ctx>;
|
||||
type Value = SliceValue<'ctx>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
|
||||
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
|
||||
} else {
|
||||
Err(format!("Expected pointer type, got {llvm_ty:?}"))
|
||||
}
|
||||
}
|
||||
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
|
||||
}
|
||||
|
||||
fn raw_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self::Value as ProxyValue<'ctx>>::Base {
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn array_alloca<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
generator
|
||||
.gen_array_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
size,
|
||||
name,
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn as_base_type(&self) -> Self::Base {
|
||||
self.ty
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<SliceType<'ctx>> for PointerType<'ctx> {
|
||||
fn from(value: SliceType<'ctx>) -> Self {
|
||||
value.as_base_type()
|
||||
}
|
||||
}
|
||||
@ -1,426 +0,0 @@
|
||||
use inkwell::{
|
||||
types::AnyTypeEnum,
|
||||
values::{BasicValueEnum, IntValue, PointerValue},
|
||||
IntPredicate,
|
||||
};
|
||||
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
/// An LLVM value that is array-like, i.e. it contains a contiguous, sequenced collection of
|
||||
/// elements.
|
||||
pub trait ArrayLikeValue<'ctx> {
|
||||
/// Returns the element type of this array-like value.
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> AnyTypeEnum<'ctx>;
|
||||
|
||||
/// Returns the base pointer to the array.
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> PointerValue<'ctx>;
|
||||
|
||||
/// Returns the size of this array-like value.
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> IntValue<'ctx>;
|
||||
|
||||
/// Returns a [`ArraySliceValue`] representing this value.
|
||||
fn as_slice_value<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> ArraySliceValue<'ctx> {
|
||||
ArraySliceValue::from_ptr_val(
|
||||
self.base_ptr(ctx, generator),
|
||||
self.size(ctx, generator),
|
||||
None,
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
/// An array-like value that can be indexed by memory offset.
|
||||
pub trait ArrayLikeIndexer<'ctx, Index = IntValue<'ctx>>: ArrayLikeValue<'ctx> {
|
||||
/// # Safety
|
||||
///
|
||||
/// This function should be called with a valid index.
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx>;
|
||||
|
||||
/// Returns the pointer to the data at the `idx`-th index.
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx>;
|
||||
}
|
||||
|
||||
/// An array-like value that can have its array elements accessed as a [`BasicValueEnum`].
|
||||
pub trait UntypedArrayLikeAccessor<'ctx, Index = IntValue<'ctx>>:
|
||||
ArrayLikeIndexer<'ctx, Index>
|
||||
{
|
||||
/// # Safety
|
||||
///
|
||||
/// This function should be called with a valid index.
|
||||
unsafe fn get_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
name: Option<&str>,
|
||||
) -> BasicValueEnum<'ctx> {
|
||||
let ptr = unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) };
|
||||
ctx.builder.build_load(ptr, name.unwrap_or_default()).unwrap()
|
||||
}
|
||||
|
||||
/// Returns the data at the `idx`-th index.
|
||||
fn get<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
name: Option<&str>,
|
||||
) -> BasicValueEnum<'ctx> {
|
||||
let ptr = self.ptr_offset(ctx, generator, idx, name);
|
||||
ctx.builder.build_load(ptr, name.unwrap_or_default()).unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
/// An array-like value that can have its array elements mutated as a [`BasicValueEnum`].
|
||||
pub trait UntypedArrayLikeMutator<'ctx, Index = IntValue<'ctx>>:
|
||||
ArrayLikeIndexer<'ctx, Index>
|
||||
{
|
||||
/// # Safety
|
||||
///
|
||||
/// This function should be called with a valid index.
|
||||
unsafe fn set_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) {
|
||||
let ptr = unsafe { self.ptr_offset_unchecked(ctx, generator, idx, None) };
|
||||
ctx.builder.build_store(ptr, value).unwrap();
|
||||
}
|
||||
|
||||
/// Sets the data at the `idx`-th index.
|
||||
fn set<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) {
|
||||
let ptr = self.ptr_offset(ctx, generator, idx, None);
|
||||
ctx.builder.build_store(ptr, value).unwrap();
|
||||
}
|
||||
}
|
||||
|
||||
/// An array-like value that can have its array elements accessed as an arbitrary type `T`.
|
||||
pub trait TypedArrayLikeAccessor<'ctx, T, Index = IntValue<'ctx>>:
|
||||
UntypedArrayLikeAccessor<'ctx, Index>
|
||||
{
|
||||
/// Casts an element from [`BasicValueEnum`] into `T`.
|
||||
fn downcast_to_type(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) -> T;
|
||||
|
||||
/// # Safety
|
||||
///
|
||||
/// This function should be called with a valid index.
|
||||
unsafe fn get_typed_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
name: Option<&str>,
|
||||
) -> T {
|
||||
let value = unsafe { self.get_unchecked(ctx, generator, idx, name) };
|
||||
self.downcast_to_type(ctx, value)
|
||||
}
|
||||
|
||||
/// Returns the data at the `idx`-th index.
|
||||
fn get_typed<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
name: Option<&str>,
|
||||
) -> T {
|
||||
let value = self.get(ctx, generator, idx, name);
|
||||
self.downcast_to_type(ctx, value)
|
||||
}
|
||||
}
|
||||
|
||||
/// An array-like value that can have its array elements mutated as an arbitrary type `T`.
|
||||
pub trait TypedArrayLikeMutator<'ctx, T, Index = IntValue<'ctx>>:
|
||||
UntypedArrayLikeMutator<'ctx, Index>
|
||||
{
|
||||
/// Casts an element from T into [`BasicValueEnum`].
|
||||
fn upcast_from_type(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
value: T,
|
||||
) -> BasicValueEnum<'ctx>;
|
||||
|
||||
/// # Safety
|
||||
///
|
||||
/// This function should be called with a valid index.
|
||||
unsafe fn set_typed_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
value: T,
|
||||
) {
|
||||
let value = self.upcast_from_type(ctx, value);
|
||||
unsafe { self.set_unchecked(ctx, generator, idx, value) }
|
||||
}
|
||||
|
||||
/// Sets the data at the `idx`-th index.
|
||||
fn set_typed<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
value: T,
|
||||
) {
|
||||
let value = self.upcast_from_type(ctx, value);
|
||||
self.set(ctx, generator, idx, value);
|
||||
}
|
||||
}
|
||||
|
||||
/// Type alias for a function that casts a [`BasicValueEnum`] into a `T`.
|
||||
type ValueDowncastFn<'ctx, T> =
|
||||
Box<dyn Fn(&mut CodeGenContext<'ctx, '_>, BasicValueEnum<'ctx>) -> T + 'ctx>;
|
||||
/// Type alias for a function that casts a `T` into a [`BasicValueEnum`].
|
||||
type ValueUpcastFn<'ctx, T> = Box<dyn Fn(&mut CodeGenContext<'ctx, '_>, T) -> BasicValueEnum<'ctx>>;
|
||||
|
||||
/// An adapter for constraining untyped array values as typed values.
|
||||
pub struct TypedArrayLikeAdapter<'ctx, T, Adapted: ArrayLikeValue<'ctx> = ArraySliceValue<'ctx>> {
|
||||
adapted: Adapted,
|
||||
downcast_fn: ValueDowncastFn<'ctx, T>,
|
||||
upcast_fn: ValueUpcastFn<'ctx, T>,
|
||||
}
|
||||
|
||||
impl<'ctx, T, Adapted> TypedArrayLikeAdapter<'ctx, T, Adapted>
|
||||
where
|
||||
Adapted: ArrayLikeValue<'ctx>,
|
||||
{
|
||||
/// Creates a [`TypedArrayLikeAdapter`].
|
||||
///
|
||||
/// * `adapted` - The value to be adapted.
|
||||
/// * `downcast_fn` - The function converting a [`BasicValueEnum`] into a `T`.
|
||||
/// * `upcast_fn` - The function converting a T into a [`BasicValueEnum`].
|
||||
pub fn from(
|
||||
adapted: Adapted,
|
||||
downcast_fn: ValueDowncastFn<'ctx, T>,
|
||||
upcast_fn: ValueUpcastFn<'ctx, T>,
|
||||
) -> Self {
|
||||
TypedArrayLikeAdapter { adapted, downcast_fn, upcast_fn }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, T, Adapted> ArrayLikeValue<'ctx> for TypedArrayLikeAdapter<'ctx, T, Adapted>
|
||||
where
|
||||
Adapted: ArrayLikeValue<'ctx>,
|
||||
{
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.adapted.element_type(ctx, generator)
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> PointerValue<'ctx> {
|
||||
self.adapted.base_ptr(ctx, generator)
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
self.adapted.size(ctx, generator)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, T, Index, Adapted> ArrayLikeIndexer<'ctx, Index>
|
||||
for TypedArrayLikeAdapter<'ctx, T, Adapted>
|
||||
where
|
||||
Adapted: ArrayLikeIndexer<'ctx, Index>,
|
||||
{
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
unsafe { self.adapted.ptr_offset_unchecked(ctx, generator, idx, name) }
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &Index,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
self.adapted.ptr_offset(ctx, generator, idx, name)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, T, Index, Adapted> UntypedArrayLikeAccessor<'ctx, Index>
|
||||
for TypedArrayLikeAdapter<'ctx, T, Adapted>
|
||||
where
|
||||
Adapted: UntypedArrayLikeAccessor<'ctx, Index>,
|
||||
{
|
||||
}
|
||||
impl<'ctx, T, Index, Adapted> UntypedArrayLikeMutator<'ctx, Index>
|
||||
for TypedArrayLikeAdapter<'ctx, T, Adapted>
|
||||
where
|
||||
Adapted: UntypedArrayLikeMutator<'ctx, Index>,
|
||||
{
|
||||
}
|
||||
|
||||
impl<'ctx, T, Index, Adapted> TypedArrayLikeAccessor<'ctx, T, Index>
|
||||
for TypedArrayLikeAdapter<'ctx, T, Adapted>
|
||||
where
|
||||
Adapted: UntypedArrayLikeAccessor<'ctx, Index>,
|
||||
{
|
||||
fn downcast_to_type(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) -> T {
|
||||
(self.downcast_fn)(ctx, value)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, T, Index, Adapted> TypedArrayLikeMutator<'ctx, T, Index>
|
||||
for TypedArrayLikeAdapter<'ctx, T, Adapted>
|
||||
where
|
||||
Adapted: UntypedArrayLikeMutator<'ctx, Index>,
|
||||
{
|
||||
fn upcast_from_type(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
value: T,
|
||||
) -> BasicValueEnum<'ctx> {
|
||||
(self.upcast_fn)(ctx, value)
|
||||
}
|
||||
}
|
||||
|
||||
/// An LLVM value representing an array slice, consisting of a pointer to the data and the size of
|
||||
/// the slice.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct ArraySliceValue<'ctx>(PointerValue<'ctx>, IntValue<'ctx>, Option<&'ctx str>);
|
||||
|
||||
impl<'ctx> ArraySliceValue<'ctx> {
|
||||
/// Creates an [`ArraySliceValue`] from a [`PointerValue`] and its size.
|
||||
#[must_use]
|
||||
pub fn from_ptr_val(
|
||||
ptr: PointerValue<'ctx>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self {
|
||||
ArraySliceValue(ptr, size, name)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<ArraySliceValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: ArraySliceValue<'ctx>) -> Self {
|
||||
value.0
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for ArraySliceValue<'ctx> {
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.0.get_type().get_element_type()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> PointerValue<'ctx> {
|
||||
self.0
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
self.1
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx> for ArraySliceValue<'ctx> {
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let var_name = name.map(|v| format!("{v}.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(self.base_ptr(ctx, generator), &[*idx], var_name.as_str())
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
debug_assert_eq!(idx.get_type(), generator.get_size_type(ctx.ctx));
|
||||
|
||||
let size = self.size(ctx, generator);
|
||||
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, size, "").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
in_range,
|
||||
"0:IndexError",
|
||||
"list index out of range",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> UntypedArrayLikeAccessor<'ctx> for ArraySliceValue<'ctx> {}
|
||||
impl<'ctx> UntypedArrayLikeMutator<'ctx> for ArraySliceValue<'ctx> {}
|
||||
@ -1,241 +0,0 @@
|
||||
use inkwell::{
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType},
|
||||
values::{BasicValueEnum, IntValue, PointerValue},
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
|
||||
use super::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ProxyValue, UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
|
||||
};
|
||||
use crate::codegen::{
|
||||
types::ListType,
|
||||
{CodeGenContext, CodeGenerator},
|
||||
};
|
||||
|
||||
/// Proxy type for accessing a `list` value in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct ListValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
}
|
||||
|
||||
impl<'ctx> ListValue<'ctx> {
|
||||
/// Checks whether `value` is an instance of `list`, returning [Err] if `value` is not an
|
||||
/// instance.
|
||||
pub fn is_representable(
|
||||
value: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
ListType::is_representable(value.get_type(), llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an [`ListValue`] from a [`PointerValue`].
|
||||
#[must_use]
|
||||
pub fn from_pointer_value(
|
||||
ptr: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
|
||||
|
||||
ListValue { value: ptr, llvm_usize, name }
|
||||
}
|
||||
|
||||
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
|
||||
/// on the field.
|
||||
fn pptr_to_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let var_name = self.name.map(|v| format!("{v}.data.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.as_base_value(),
|
||||
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
|
||||
var_name.as_str(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns the pointer to the field storing the size of this `list`.
|
||||
fn ptr_to_size(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let var_name = self.name.map(|v| format!("{v}.size.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.as_base_value(),
|
||||
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
|
||||
var_name.as_str(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
/// Stores the array of data elements `data` into this instance.
|
||||
fn store_data(&self, ctx: &CodeGenContext<'ctx, '_>, data: PointerValue<'ctx>) {
|
||||
ctx.builder.build_store(self.pptr_to_data(ctx), data).unwrap();
|
||||
}
|
||||
|
||||
/// Convenience method for creating a new array storing data elements with the given element
|
||||
/// type `elem_ty` and `size`.
|
||||
///
|
||||
/// If `size` is [None], the size stored in the field of this instance is used instead.
|
||||
pub fn create_data(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_ty: BasicTypeEnum<'ctx>,
|
||||
size: Option<IntValue<'ctx>>,
|
||||
) {
|
||||
let size = size.unwrap_or_else(|| self.load_size(ctx, None));
|
||||
|
||||
let data = ctx
|
||||
.builder
|
||||
.build_select(
|
||||
ctx.builder
|
||||
.build_int_compare(IntPredicate::NE, size, self.llvm_usize.const_zero(), "")
|
||||
.unwrap(),
|
||||
ctx.builder.build_array_alloca(elem_ty, size, "").unwrap(),
|
||||
elem_ty.ptr_type(AddressSpace::default()).const_zero(),
|
||||
"",
|
||||
)
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap();
|
||||
self.store_data(ctx, data);
|
||||
}
|
||||
|
||||
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
|
||||
/// on the field.
|
||||
#[must_use]
|
||||
pub fn data(&self) -> ListDataProxy<'ctx, '_> {
|
||||
ListDataProxy(self)
|
||||
}
|
||||
|
||||
/// Stores the `size` of this `list` into this instance.
|
||||
pub fn store_size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
size: IntValue<'ctx>,
|
||||
) {
|
||||
debug_assert_eq!(size.get_type(), generator.get_size_type(ctx.ctx));
|
||||
|
||||
let psize = self.ptr_to_size(ctx);
|
||||
ctx.builder.build_store(psize, size).unwrap();
|
||||
}
|
||||
|
||||
/// Returns the size of this `list` as a value.
|
||||
pub fn load_size(&self, ctx: &CodeGenContext<'ctx, '_>, name: Option<&str>) -> IntValue<'ctx> {
|
||||
let psize = self.ptr_to_size(ctx);
|
||||
let var_name = name
|
||||
.map(ToString::to_string)
|
||||
.or_else(|| self.name.map(|v| format!("{v}.size")))
|
||||
.unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(psize, var_name.as_str())
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyValue<'ctx> for ListValue<'ctx> {
|
||||
type Base = PointerValue<'ctx>;
|
||||
type Type = ListType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
ListType::from_type(self.as_base_value().get_type(), self.llvm_usize)
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
self.value
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<ListValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: ListValue<'ctx>) -> Self {
|
||||
value.as_base_value()
|
||||
}
|
||||
}
|
||||
|
||||
/// Proxy type for accessing the `data` array of an `list` instance in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct ListDataProxy<'ctx, 'a>(&'a ListValue<'ctx>);
|
||||
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for ListDataProxy<'ctx, '_> {
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.0.value.get_type().get_element_type()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> PointerValue<'ctx> {
|
||||
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(self.0.pptr_to_data(ctx), var_name.as_str())
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
self.0.load_size(ctx, None)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx> for ListDataProxy<'ctx, '_> {
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let var_name = name.map(|v| format!("{v}.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(self.base_ptr(ctx, generator), &[*idx], var_name.as_str())
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
debug_assert_eq!(idx.get_type(), generator.get_size_type(ctx.ctx));
|
||||
|
||||
let size = self.size(ctx, generator);
|
||||
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, size, "").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
in_range,
|
||||
"0:IndexError",
|
||||
"list index out of range",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> UntypedArrayLikeAccessor<'ctx> for ListDataProxy<'ctx, '_> {}
|
||||
impl<'ctx> UntypedArrayLikeMutator<'ctx> for ListDataProxy<'ctx, '_> {}
|
||||
@ -1,47 +0,0 @@
|
||||
use inkwell::{context::Context, values::BasicValue};
|
||||
|
||||
use super::types::ProxyType;
|
||||
use crate::codegen::CodeGenerator;
|
||||
pub use array::*;
|
||||
pub use list::*;
|
||||
pub use range::*;
|
||||
|
||||
mod array;
|
||||
mod list;
|
||||
pub mod ndarray;
|
||||
mod range;
|
||||
pub mod utils;
|
||||
|
||||
/// A LLVM type that is used to represent a non-primitive value in NAC3.
|
||||
pub trait ProxyValue<'ctx>: Into<Self::Base> {
|
||||
/// The type of LLVM values represented by this instance. This is usually the
|
||||
/// [LLVM pointer type][PointerValue].
|
||||
type Base: BasicValue<'ctx>;
|
||||
|
||||
/// The type of this value.
|
||||
type Type: ProxyType<'ctx, Value = Self>;
|
||||
|
||||
/// Checks whether `value` can be represented by this [`ProxyValue`].
|
||||
fn is_instance<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
value: impl BasicValue<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
Self::Type::is_type(generator, ctx, value.as_basic_value_enum().get_type())
|
||||
}
|
||||
|
||||
/// Checks whether `value` can be represented by this [`ProxyValue`].
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
value: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_instance(generator, ctx, value.as_basic_value_enum())
|
||||
}
|
||||
|
||||
/// Returns the [type][ProxyType] of this value.
|
||||
fn get_type(&self) -> Self::Type;
|
||||
|
||||
/// Returns the [base value][Self::Base] of this proxy.
|
||||
fn as_base_value(&self) -> Self::Base;
|
||||
}
|
||||
@ -1,202 +0,0 @@
|
||||
use inkwell::{
|
||||
types::{BasicType, BasicTypeEnum, IntType},
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use super::{ArrayLikeValue, NDArrayValue, ProxyValue};
|
||||
use crate::codegen::{
|
||||
stmt::gen_if_callback,
|
||||
types::{
|
||||
ndarray::{ContiguousNDArrayType, NDArrayType},
|
||||
structure::StructField,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct ContiguousNDArrayValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
item: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
}
|
||||
|
||||
impl<'ctx> ContiguousNDArrayValue<'ctx> {
|
||||
/// Checks whether `value` is an instance of `ContiguousNDArray`, returning [Err] if `value` is
|
||||
/// not an instance.
|
||||
pub fn is_representable(
|
||||
value: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
<Self as ProxyValue<'ctx>>::Type::is_representable(value.get_type(), llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an [`ContiguousNDArrayValue`] from a [`PointerValue`].
|
||||
#[must_use]
|
||||
pub fn from_pointer_value(
|
||||
ptr: PointerValue<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
|
||||
|
||||
Self { value: ptr, item: dtype, llvm_usize, name }
|
||||
}
|
||||
|
||||
fn ndims_field(&self) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields().ndims
|
||||
}
|
||||
|
||||
pub fn store_ndims(&self, ctx: &CodeGenContext<'ctx, '_>, value: IntValue<'ctx>) {
|
||||
self.ndims_field().set(ctx, self.as_base_value(), value, self.name);
|
||||
}
|
||||
|
||||
fn shape_field(&self) -> StructField<'ctx, PointerValue<'ctx>> {
|
||||
self.get_type().get_fields().shape
|
||||
}
|
||||
|
||||
pub fn store_shape(&self, ctx: &CodeGenContext<'ctx, '_>, value: PointerValue<'ctx>) {
|
||||
self.shape_field().set(ctx, self.as_base_value(), value, self.name);
|
||||
}
|
||||
|
||||
pub fn load_shape(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
self.shape_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
fn data_field(&self) -> StructField<'ctx, PointerValue<'ctx>> {
|
||||
self.get_type().get_fields().data
|
||||
}
|
||||
|
||||
pub fn store_data(&self, ctx: &CodeGenContext<'ctx, '_>, value: PointerValue<'ctx>) {
|
||||
self.data_field().set(ctx, self.as_base_value(), value, self.name);
|
||||
}
|
||||
|
||||
pub fn load_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
self.data_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyValue<'ctx> for ContiguousNDArrayValue<'ctx> {
|
||||
type Base = PointerValue<'ctx>;
|
||||
type Type = ContiguousNDArrayType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
<Self as ProxyValue<'ctx>>::Type::from_type(
|
||||
self.as_base_value().get_type(),
|
||||
self.item,
|
||||
self.llvm_usize,
|
||||
)
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
self.value
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<ContiguousNDArrayValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: ContiguousNDArrayValue<'ctx>) -> Self {
|
||||
value.as_base_value()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayValue<'ctx> {
|
||||
/// Create a [`ContiguousNDArrayValue`] from the contents of this ndarray.
|
||||
///
|
||||
/// This function may or may not be expensive depending on if this ndarray has contiguous data.
|
||||
///
|
||||
/// If this ndarray is not C-contiguous, this function will allocate memory on the stack for the
|
||||
/// `data` field of the returned [`ContiguousNDArrayValue`] and copy contents of this ndarray to
|
||||
/// there.
|
||||
///
|
||||
/// If this ndarray is C-contiguous, contents of this ndarray will not be copied. The created
|
||||
/// [`ContiguousNDArrayValue`] will share memory with this ndarray.
|
||||
pub fn make_contiguous_ndarray<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> ContiguousNDArrayValue<'ctx> {
|
||||
let result = ContiguousNDArrayType::new(generator, ctx.ctx, self.dtype)
|
||||
.alloca(generator, ctx, self.name);
|
||||
|
||||
// Set ndims and shape.
|
||||
let ndims = self
|
||||
.ndims
|
||||
.map_or_else(|| self.load_ndims(ctx), |ndims| self.llvm_usize.const_int(ndims, false));
|
||||
result.store_ndims(ctx, ndims);
|
||||
|
||||
let shape = self.shape();
|
||||
result.store_shape(ctx, shape.base_ptr(ctx, generator));
|
||||
|
||||
gen_if_callback(
|
||||
generator,
|
||||
ctx,
|
||||
|generator, ctx| Ok(self.is_c_contiguous(generator, ctx)),
|
||||
|_, ctx| {
|
||||
// This ndarray is contiguous.
|
||||
let data = self.data_field(ctx).get(ctx, self.as_base_value(), self.name);
|
||||
let data = ctx
|
||||
.builder
|
||||
.build_pointer_cast(data, result.item.ptr_type(AddressSpace::default()), "")
|
||||
.unwrap();
|
||||
result.store_data(ctx, data);
|
||||
|
||||
Ok(())
|
||||
},
|
||||
|generator, ctx| {
|
||||
// This ndarray is not contiguous. Do a full-copy on `data`. `make_copy` produces an
|
||||
// ndarray with contiguous `data`.
|
||||
let copied_ndarray = self.make_copy(generator, ctx);
|
||||
let data = copied_ndarray.data().base_ptr(ctx, generator);
|
||||
let data = ctx
|
||||
.builder
|
||||
.build_pointer_cast(data, result.item.ptr_type(AddressSpace::default()), "")
|
||||
.unwrap();
|
||||
result.store_data(ctx, data);
|
||||
|
||||
Ok(())
|
||||
},
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
result
|
||||
}
|
||||
|
||||
/// Create an [`NDArrayValue`] from a [`ContiguousNDArrayValue`].
|
||||
///
|
||||
/// The operation is cheap. The newly created [`NDArrayValue`] will share the same memory as the
|
||||
/// [`ContiguousNDArrayValue`].
|
||||
///
|
||||
/// `ndims` has to be provided as [`NDArrayValue`] requires a statically known `ndims` value,
|
||||
/// despite the fact that the information should be contained within the
|
||||
/// [`ContiguousNDArrayValue`].
|
||||
pub fn from_contiguous_ndarray<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
carray: ContiguousNDArrayValue<'ctx>,
|
||||
ndims: u64,
|
||||
) -> Self {
|
||||
// TODO: Debug assert `ndims == carray.ndims` to catch bugs.
|
||||
|
||||
// Allocate the resulting ndarray.
|
||||
let ndarray = NDArrayType::new(generator, ctx.ctx, carray.item, Some(ndims))
|
||||
.construct_uninitialized(generator, ctx, carray.name);
|
||||
|
||||
// Copy shape and update strides
|
||||
let shape = carray.load_shape(ctx);
|
||||
ndarray.copy_shape_from_array(generator, ctx, shape);
|
||||
ndarray.set_strides_contiguous(generator, ctx);
|
||||
|
||||
// Share data
|
||||
let data = carray.load_data(ctx);
|
||||
ndarray.store_data(
|
||||
ctx,
|
||||
ctx.builder
|
||||
.build_pointer_cast(data, ctx.ctx.i8_type().ptr_type(AddressSpace::default()), "")
|
||||
.unwrap(),
|
||||
);
|
||||
|
||||
ndarray
|
||||
}
|
||||
}
|
||||
@ -1,262 +0,0 @@
|
||||
use inkwell::{
|
||||
types::IntType,
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3parser::ast::{Expr, ExprKind};
|
||||
|
||||
use crate::{
|
||||
codegen::{
|
||||
irrt,
|
||||
types::{
|
||||
ndarray::{NDArrayType, NDIndexType},
|
||||
structure::StructField,
|
||||
utils::SliceType,
|
||||
},
|
||||
values::{ndarray::NDArrayValue, utils::RustSlice, ProxyValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
typecheck::typedef::Type,
|
||||
};
|
||||
|
||||
/// An IRRT representation of an ndarray subscript index.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDIndexValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDIndexValue<'ctx> {
|
||||
/// Checks whether `value` is an instance of `ndindex`, returning [Err] if `value` is not an
|
||||
/// instance.
|
||||
pub fn is_representable(
|
||||
value: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
<Self as ProxyValue<'ctx>>::Type::is_representable(value.get_type(), llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an [`NDIndexValue`] from a [`PointerValue`].
|
||||
#[must_use]
|
||||
pub fn from_pointer_value(
|
||||
ptr: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
|
||||
|
||||
Self { value: ptr, llvm_usize, name }
|
||||
}
|
||||
|
||||
fn type_field(&self) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields().type_
|
||||
}
|
||||
|
||||
pub fn load_type(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.type_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
pub fn store_type(&self, ctx: &CodeGenContext<'ctx, '_>, value: IntValue<'ctx>) {
|
||||
self.type_field().set(ctx, self.value, value, self.name);
|
||||
}
|
||||
|
||||
fn data_field(&self) -> StructField<'ctx, PointerValue<'ctx>> {
|
||||
self.get_type().get_fields().data
|
||||
}
|
||||
|
||||
pub fn load_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
self.data_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
pub fn store_data(&self, ctx: &CodeGenContext<'ctx, '_>, value: PointerValue<'ctx>) {
|
||||
self.data_field().set(ctx, self.value, value, self.name);
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyValue<'ctx> for NDIndexValue<'ctx> {
|
||||
type Base = PointerValue<'ctx>;
|
||||
type Type = NDIndexType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
Self::Type::from_type(self.value.get_type(), self.llvm_usize)
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
self.value
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<NDIndexValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: NDIndexValue<'ctx>) -> Self {
|
||||
value.as_base_value()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayValue<'ctx> {
|
||||
/// Get the expected `ndims` after indexing with `indices`.
|
||||
#[must_use]
|
||||
fn deduce_ndims_after_indexing_with(&self, indices: &[RustNDIndex<'ctx>]) -> Option<u64> {
|
||||
let mut ndims = self.ndims?;
|
||||
|
||||
for index in indices {
|
||||
match index {
|
||||
RustNDIndex::SingleElement(_) => {
|
||||
ndims -= 1; // Single elements decrements ndims
|
||||
}
|
||||
RustNDIndex::NewAxis => {
|
||||
ndims += 1; // `np.newaxis` / `none` adds a new axis
|
||||
}
|
||||
RustNDIndex::Ellipsis | RustNDIndex::Slice(_) => {}
|
||||
}
|
||||
}
|
||||
|
||||
Some(ndims)
|
||||
}
|
||||
|
||||
/// Index into the ndarray, and return a newly-allocated view on this ndarray.
|
||||
///
|
||||
/// This function behaves like NumPy's ndarray indexing, but if the indices index
|
||||
/// into a single element, an unsized ndarray is returned.
|
||||
#[must_use]
|
||||
pub fn index<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
indices: &[RustNDIndex<'ctx>],
|
||||
) -> Self {
|
||||
assert!(self.ndims.is_some(), "NDArrayValue::index is only supported for instances with compile-time known ndims (self.ndims = Some(...))");
|
||||
|
||||
let dst_ndims = self.deduce_ndims_after_indexing_with(indices);
|
||||
let dst_ndarray = NDArrayType::new(generator, ctx.ctx, self.dtype, dst_ndims)
|
||||
.construct_uninitialized(generator, ctx, None);
|
||||
|
||||
let indices =
|
||||
NDIndexType::new(generator, ctx.ctx).construct_ndindices(generator, ctx, indices);
|
||||
irrt::ndarray::call_nac3_ndarray_index(generator, ctx, indices, *self, dst_ndarray);
|
||||
|
||||
dst_ndarray
|
||||
}
|
||||
}
|
||||
|
||||
/// A convenience enum representing a [`NDIndexValue`].
|
||||
// TODO: Rename to CTConstNDIndex
|
||||
#[derive(Debug, Clone)]
|
||||
pub enum RustNDIndex<'ctx> {
|
||||
SingleElement(IntValue<'ctx>),
|
||||
Slice(RustSlice<'ctx>),
|
||||
NewAxis,
|
||||
Ellipsis,
|
||||
}
|
||||
|
||||
impl<'ctx> RustNDIndex<'ctx> {
|
||||
/// Generate LLVM code to transform an ndarray subscript expression to
|
||||
/// its list of [`RustNDIndex`]
|
||||
///
|
||||
/// i.e.,
|
||||
/// ```python
|
||||
/// my_ndarray[::3, 1, :2:]
|
||||
/// ^^^^^^^^^^^ Then these into a three `RustNDIndex`es
|
||||
/// ```
|
||||
pub fn from_subscript_expr<G: CodeGenerator>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
subscript: &Expr<Option<Type>>,
|
||||
) -> Result<Vec<RustNDIndex<'ctx>>, String> {
|
||||
// Annoying notes about `slice`
|
||||
// - `my_array[5]`
|
||||
// - slice is a `Constant`
|
||||
// - `my_array[:5]`
|
||||
// - slice is a `Slice`
|
||||
// - `my_array[:]`
|
||||
// - slice is a `Slice`, but lower upper step would all be `Option::None`
|
||||
// - `my_array[:, :]`
|
||||
// - slice is now a `Tuple` of two `Slice`-s
|
||||
//
|
||||
// In summary:
|
||||
// - when there is a comma "," within [], `slice` will be a `Tuple` of the entries.
|
||||
// - when there is not comma "," within [] (i.e., just a single entry), `slice` will be that entry itself.
|
||||
//
|
||||
// So we first "flatten" out the slice expression
|
||||
let index_exprs = match &subscript.node {
|
||||
ExprKind::Tuple { elts, .. } => elts.iter().collect_vec(),
|
||||
_ => vec![subscript],
|
||||
};
|
||||
|
||||
// Process all index expressions
|
||||
let mut rust_ndindices: Vec<RustNDIndex> = Vec::with_capacity(index_exprs.len()); // Not using iterators here because `?` is used here.
|
||||
for index_expr in index_exprs {
|
||||
// NOTE: Currently nac3core's slices do not have an object representation,
|
||||
// so the code/implementation looks awkward - we have to do pattern matching on the expression
|
||||
let ndindex = if let ExprKind::Slice { lower, upper, step } = &index_expr.node {
|
||||
// Handle slices
|
||||
let slice = RustSlice::from_slice_expr(generator, ctx, lower, upper, step)?;
|
||||
RustNDIndex::Slice(slice)
|
||||
} else {
|
||||
// Treat and handle everything else as a single element index.
|
||||
let index = generator.gen_expr(ctx, index_expr)?.unwrap().to_basic_value_enum(
|
||||
ctx,
|
||||
generator,
|
||||
ctx.primitives.int32, // Must be int32, this checks for illegal values
|
||||
)?;
|
||||
let index = index.into_int_value();
|
||||
|
||||
RustNDIndex::SingleElement(index)
|
||||
};
|
||||
rust_ndindices.push(ndindex);
|
||||
}
|
||||
Ok(rust_ndindices)
|
||||
}
|
||||
|
||||
/// Get the value to set `NDIndex::type` for this variant.
|
||||
#[must_use]
|
||||
pub fn get_type_id(&self) -> u64 {
|
||||
// Defined in IRRT, must be in sync
|
||||
match self {
|
||||
RustNDIndex::SingleElement(_) => 0,
|
||||
RustNDIndex::Slice(_) => 1,
|
||||
RustNDIndex::NewAxis => 2,
|
||||
RustNDIndex::Ellipsis => 3,
|
||||
}
|
||||
}
|
||||
|
||||
/// Serialize this [`RustNDIndex`] by writing it into an LLVM [`NDIndexValue`].
|
||||
pub fn write_to_ndindex<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
dst_ndindex: NDIndexValue<'ctx>,
|
||||
) {
|
||||
let llvm_pi8 = ctx.ctx.i8_type().ptr_type(AddressSpace::default());
|
||||
|
||||
// Set `dst_ndindex.type`
|
||||
dst_ndindex.store_type(ctx, ctx.ctx.i8_type().const_int(self.get_type_id(), false));
|
||||
|
||||
// Set `dst_ndindex_ptr->data`
|
||||
match self {
|
||||
RustNDIndex::SingleElement(in_index) => {
|
||||
let index_ptr = ctx.builder.build_alloca(ctx.ctx.i32_type(), "").unwrap();
|
||||
ctx.builder.build_store(index_ptr, *in_index).unwrap();
|
||||
|
||||
dst_ndindex.store_data(
|
||||
ctx,
|
||||
ctx.builder.build_pointer_cast(index_ptr, llvm_pi8, "").unwrap(),
|
||||
);
|
||||
}
|
||||
RustNDIndex::Slice(in_rust_slice) => {
|
||||
let user_slice_ptr =
|
||||
SliceType::new(ctx.ctx, ctx.ctx.i32_type(), generator.get_size_type(ctx.ctx))
|
||||
.alloca(generator, ctx, None);
|
||||
in_rust_slice.write_to_slice(ctx, user_slice_ptr);
|
||||
|
||||
dst_ndindex.store_data(
|
||||
ctx,
|
||||
ctx.builder.build_pointer_cast(user_slice_ptr.into(), llvm_pi8, "").unwrap(),
|
||||
);
|
||||
}
|
||||
RustNDIndex::NewAxis | RustNDIndex::Ellipsis => {}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,933 +0,0 @@
|
||||
use inkwell::{
|
||||
types::{AnyType, AnyTypeEnum, BasicType, BasicTypeEnum, IntType},
|
||||
values::{BasicValueEnum, IntValue, PointerValue},
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
|
||||
use super::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ProxyValue, TypedArrayLikeAccessor, TypedArrayLikeMutator,
|
||||
UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
|
||||
};
|
||||
use crate::codegen::{
|
||||
irrt,
|
||||
llvm_intrinsics::{call_int_umin, call_memcpy_generic_array},
|
||||
stmt::gen_for_callback_incrementing,
|
||||
type_aligned_alloca,
|
||||
types::{ndarray::NDArrayType, structure::StructField},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
pub use contiguous::*;
|
||||
pub use indexing::*;
|
||||
pub use nditer::*;
|
||||
pub use view::*;
|
||||
|
||||
mod contiguous;
|
||||
mod indexing;
|
||||
mod nditer;
|
||||
mod view;
|
||||
|
||||
/// Proxy type for accessing an `NDArray` value in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
ndims: Option<u64>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayValue<'ctx> {
|
||||
/// Checks whether `value` is an instance of `NDArray`, returning [Err] if `value` is not an
|
||||
/// instance.
|
||||
pub fn is_representable(
|
||||
value: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
NDArrayType::is_representable(value.get_type(), llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an [`NDArrayValue`] from a [`PointerValue`].
|
||||
#[must_use]
|
||||
pub fn from_pointer_value(
|
||||
ptr: PointerValue<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
ndims: Option<u64>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
|
||||
|
||||
NDArrayValue { value: ptr, dtype, ndims, llvm_usize, name }
|
||||
}
|
||||
|
||||
fn ndims_field(&self, ctx: &CodeGenContext<'ctx, '_>) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields(ctx.ctx).ndims
|
||||
}
|
||||
|
||||
/// Returns the pointer to the field storing the number of dimensions of this `NDArray`.
|
||||
fn ptr_to_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
self.ndims_field(ctx).ptr_by_gep(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
/// Stores the number of dimensions `ndims` into this instance.
|
||||
pub fn store_ndims<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
ndims: IntValue<'ctx>,
|
||||
) {
|
||||
debug_assert_eq!(ndims.get_type(), generator.get_size_type(ctx.ctx));
|
||||
|
||||
let pndims = self.ptr_to_ndims(ctx);
|
||||
ctx.builder.build_store(pndims, ndims).unwrap();
|
||||
}
|
||||
|
||||
/// Returns the number of dimensions of this `NDArray` as a value.
|
||||
pub fn load_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
let pndims = self.ptr_to_ndims(ctx);
|
||||
ctx.builder.build_load(pndims, "").map(BasicValueEnum::into_int_value).unwrap()
|
||||
}
|
||||
|
||||
fn itemsize_field(&self, ctx: &CodeGenContext<'ctx, '_>) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields(ctx.ctx).itemsize
|
||||
}
|
||||
|
||||
/// Stores the size of each element `itemsize` into this instance.
|
||||
pub fn store_itemsize<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
itemsize: IntValue<'ctx>,
|
||||
) {
|
||||
debug_assert_eq!(itemsize.get_type(), generator.get_size_type(ctx.ctx));
|
||||
|
||||
self.itemsize_field(ctx).set(ctx, self.value, itemsize, self.name);
|
||||
}
|
||||
|
||||
/// Returns the size of each element of this `NDArray` as a value.
|
||||
pub fn load_itemsize(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.itemsize_field(ctx).get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
fn shape_field(&self, ctx: &CodeGenContext<'ctx, '_>) -> StructField<'ctx, PointerValue<'ctx>> {
|
||||
self.get_type().get_fields(ctx.ctx).shape
|
||||
}
|
||||
|
||||
/// Returns the double-indirection pointer to the `shape` array, as if by calling
|
||||
/// `getelementptr` on the field.
|
||||
fn ptr_to_shape(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
self.shape_field(ctx).ptr_by_gep(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
/// Stores the array of dimension sizes `dims` into this instance.
|
||||
fn store_shape(&self, ctx: &CodeGenContext<'ctx, '_>, dims: PointerValue<'ctx>) {
|
||||
self.shape_field(ctx).set(ctx, self.as_base_value(), dims, self.name);
|
||||
}
|
||||
|
||||
/// Convenience method for creating a new array storing dimension sizes with the given `size`.
|
||||
pub fn create_shape(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
size: IntValue<'ctx>,
|
||||
) {
|
||||
self.store_shape(ctx, ctx.builder.build_array_alloca(llvm_usize, size, "").unwrap());
|
||||
}
|
||||
|
||||
/// Returns a proxy object to the field storing the size of each dimension of this `NDArray`.
|
||||
#[must_use]
|
||||
pub fn shape(&self) -> NDArrayShapeProxy<'ctx, '_> {
|
||||
NDArrayShapeProxy(self)
|
||||
}
|
||||
|
||||
fn strides_field(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> StructField<'ctx, PointerValue<'ctx>> {
|
||||
self.get_type().get_fields(ctx.ctx).strides
|
||||
}
|
||||
|
||||
/// Returns the double-indirection pointer to the `strides` array, as if by calling
|
||||
/// `getelementptr` on the field.
|
||||
fn ptr_to_strides(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
self.strides_field(ctx).ptr_by_gep(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
/// Stores the array of stride sizes `strides` into this instance.
|
||||
fn store_strides(&self, ctx: &CodeGenContext<'ctx, '_>, strides: PointerValue<'ctx>) {
|
||||
self.strides_field(ctx).set(ctx, self.as_base_value(), strides, self.name);
|
||||
}
|
||||
|
||||
/// Convenience method for creating a new array storing the stride with the given `size`.
|
||||
pub fn create_strides(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
size: IntValue<'ctx>,
|
||||
) {
|
||||
self.store_strides(ctx, ctx.builder.build_array_alloca(llvm_usize, size, "").unwrap());
|
||||
}
|
||||
|
||||
/// Returns a proxy object to the field storing the stride of each dimension of this `NDArray`.
|
||||
#[must_use]
|
||||
pub fn strides(&self) -> NDArrayStridesProxy<'ctx, '_> {
|
||||
NDArrayStridesProxy(self)
|
||||
}
|
||||
|
||||
fn data_field(&self, ctx: &CodeGenContext<'ctx, '_>) -> StructField<'ctx, PointerValue<'ctx>> {
|
||||
self.get_type().get_fields(ctx.ctx).data
|
||||
}
|
||||
|
||||
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
|
||||
/// on the field.
|
||||
pub fn ptr_to_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
self.data_field(ctx).ptr_by_gep(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
/// Stores the array of data elements `data` into this instance.
|
||||
fn store_data(&self, ctx: &CodeGenContext<'ctx, '_>, data: PointerValue<'ctx>) {
|
||||
let data = ctx
|
||||
.builder
|
||||
.build_bit_cast(data, ctx.ctx.i8_type().ptr_type(AddressSpace::default()), "")
|
||||
.unwrap();
|
||||
self.data_field(ctx).set(ctx, self.as_base_value(), data.into_pointer_value(), self.name);
|
||||
}
|
||||
|
||||
/// Convenience method for creating a new array storing data elements with the given element
|
||||
/// type `elem_ty` and `size`.
|
||||
///
|
||||
/// The data buffer will be allocated on the stack, and is considered to be owned by this ndarray instance.
|
||||
///
|
||||
/// # Safety
|
||||
///
|
||||
/// The caller must ensure that `shape` and `itemsize` of this ndarray instance is initialized.
|
||||
pub unsafe fn create_data<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) {
|
||||
let nbytes = self.nbytes(generator, ctx);
|
||||
|
||||
let data = type_aligned_alloca(generator, ctx, self.dtype, nbytes, None);
|
||||
self.store_data(ctx, data);
|
||||
|
||||
self.set_strides_contiguous(generator, ctx);
|
||||
}
|
||||
|
||||
/// Returns a proxy object to the field storing the data of this `NDArray`.
|
||||
#[must_use]
|
||||
pub fn data(&self) -> NDArrayDataProxy<'ctx, '_> {
|
||||
NDArrayDataProxy(self)
|
||||
}
|
||||
|
||||
/// Copy shape dimensions from an array.
|
||||
pub fn copy_shape_from_array<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
shape: PointerValue<'ctx>,
|
||||
) {
|
||||
let num_items = self.load_ndims(ctx);
|
||||
|
||||
call_memcpy_generic_array(
|
||||
ctx,
|
||||
self.shape().base_ptr(ctx, generator),
|
||||
shape,
|
||||
num_items,
|
||||
ctx.ctx.bool_type().const_zero(),
|
||||
);
|
||||
}
|
||||
|
||||
/// Copy shape dimensions from an ndarray.
|
||||
/// Panics if `ndims` mismatches.
|
||||
pub fn copy_shape_from_ndarray<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
if self.ndims.is_some() && src_ndarray.ndims.is_some() {
|
||||
assert_eq!(self.ndims, src_ndarray.ndims);
|
||||
} else {
|
||||
let self_ndims = self.load_ndims(ctx);
|
||||
let src_ndims = src_ndarray.load_ndims(ctx);
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
ctx.builder.build_int_compare(
|
||||
IntPredicate::EQ,
|
||||
self_ndims,
|
||||
src_ndims,
|
||||
""
|
||||
).unwrap(),
|
||||
"0:AssertionError",
|
||||
"NDArrayValue::copy_shape_from_ndarray: Expected self.ndims ({0}) == src_ndarray.ndims ({1})",
|
||||
[Some(self_ndims), Some(src_ndims), None],
|
||||
ctx.current_loc
|
||||
);
|
||||
}
|
||||
|
||||
let src_shape = src_ndarray.shape().base_ptr(ctx, generator);
|
||||
self.copy_shape_from_array(generator, ctx, src_shape);
|
||||
}
|
||||
|
||||
/// Copy strides dimensions from an array.
|
||||
pub fn copy_strides_from_array<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
strides: PointerValue<'ctx>,
|
||||
) {
|
||||
let num_items = self.load_ndims(ctx);
|
||||
|
||||
call_memcpy_generic_array(
|
||||
ctx,
|
||||
self.strides().base_ptr(ctx, generator),
|
||||
strides,
|
||||
num_items,
|
||||
ctx.ctx.bool_type().const_zero(),
|
||||
);
|
||||
}
|
||||
|
||||
/// Copy strides dimensions from an ndarray.
|
||||
/// Panics if `ndims` mismatches.
|
||||
pub fn copy_strides_from_ndarray<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
if self.ndims.is_some() && src_ndarray.ndims.is_some() {
|
||||
assert_eq!(self.ndims, src_ndarray.ndims);
|
||||
} else {
|
||||
let self_ndims = self.load_ndims(ctx);
|
||||
let src_ndims = src_ndarray.load_ndims(ctx);
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
ctx.builder.build_int_compare(
|
||||
IntPredicate::EQ,
|
||||
self_ndims,
|
||||
src_ndims,
|
||||
""
|
||||
).unwrap(),
|
||||
"0:AssertionError",
|
||||
"NDArrayValue::copy_shape_from_ndarray: Expected self.ndims ({0}) == src_ndarray.ndims ({1})",
|
||||
[Some(self_ndims), Some(src_ndims), None],
|
||||
ctx.current_loc
|
||||
);
|
||||
}
|
||||
|
||||
let src_strides = src_ndarray.strides().base_ptr(ctx, generator);
|
||||
self.copy_strides_from_array(generator, ctx, src_strides);
|
||||
}
|
||||
|
||||
/// Get the `np.size()` of this ndarray.
|
||||
pub fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> IntValue<'ctx> {
|
||||
irrt::ndarray::call_nac3_ndarray_size(generator, ctx, *self)
|
||||
}
|
||||
|
||||
/// Get the `ndarray.nbytes` of this ndarray.
|
||||
pub fn nbytes<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> IntValue<'ctx> {
|
||||
irrt::ndarray::call_nac3_ndarray_nbytes(generator, ctx, *self)
|
||||
}
|
||||
|
||||
/// Get the `len()` of this ndarray.
|
||||
pub fn len<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> IntValue<'ctx> {
|
||||
irrt::ndarray::call_nac3_ndarray_len(generator, ctx, *self)
|
||||
}
|
||||
|
||||
/// Check if this ndarray is C-contiguous.
|
||||
///
|
||||
/// See NumPy's `flags["C_CONTIGUOUS"]`: <https://numpy.org/doc/stable/reference/generated/numpy.ndarray.flags.html#numpy.ndarray.flags>
|
||||
pub fn is_c_contiguous<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> IntValue<'ctx> {
|
||||
irrt::ndarray::call_nac3_ndarray_is_c_contiguous(generator, ctx, *self)
|
||||
}
|
||||
|
||||
/// Call [`call_nac3_ndarray_set_strides_by_shape`] on this ndarray to update `strides`.
|
||||
///
|
||||
/// Update the ndarray's strides to make the ndarray contiguous.
|
||||
pub fn set_strides_contiguous<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) {
|
||||
irrt::ndarray::call_nac3_ndarray_set_strides_by_shape(generator, ctx, *self);
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn make_copy<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> Self {
|
||||
let clone = if self.ndims.is_some() {
|
||||
self.get_type().construct_uninitialized(generator, ctx, None)
|
||||
} else {
|
||||
self.get_type().construct_dyn_ndims(generator, ctx, self.load_ndims(ctx), None)
|
||||
};
|
||||
|
||||
let shape = self.shape();
|
||||
clone.copy_shape_from_array(generator, ctx, shape.base_ptr(ctx, generator));
|
||||
unsafe { clone.create_data(generator, ctx) };
|
||||
clone.copy_data_from(generator, ctx, *self);
|
||||
clone
|
||||
}
|
||||
|
||||
/// Copy data from another ndarray.
|
||||
///
|
||||
/// This ndarray and `src` is that their `np.size()` should be the same. Their shapes
|
||||
/// do not matter. The copying order is determined by how their flattened views look.
|
||||
///
|
||||
/// Panics if the `dtype`s of ndarrays are different.
|
||||
pub fn copy_data_from<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
src: NDArrayValue<'ctx>,
|
||||
) {
|
||||
assert_eq!(self.dtype, src.dtype, "self and src dtype should match");
|
||||
irrt::ndarray::call_nac3_ndarray_copy_data(generator, ctx, src, *self);
|
||||
}
|
||||
|
||||
/// Returns true if this ndarray is unsized - `ndims == 0` and only contains a scalar.
|
||||
#[must_use]
|
||||
pub fn is_unsized(&self) -> Option<bool> {
|
||||
self.ndims.map(|ndims| ndims == 0)
|
||||
}
|
||||
|
||||
/// If this ndarray is unsized, return its sole value as an [`AnyObject`].
|
||||
/// Otherwise, do nothing and return the ndarray itself.
|
||||
// TODO: Rename to get_unsized_element
|
||||
pub fn split_unsized<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
) -> ScalarOrNDArray<'ctx> {
|
||||
let Some(is_unsized) = self.is_unsized() else { todo!() };
|
||||
|
||||
if is_unsized {
|
||||
// NOTE: `np.size(self) == 0` here is never possible.
|
||||
let zero = generator.get_size_type(ctx.ctx).const_zero();
|
||||
let value = unsafe { self.data().get_unchecked(ctx, generator, &zero, None) };
|
||||
|
||||
ScalarOrNDArray::Scalar(value)
|
||||
} else {
|
||||
ScalarOrNDArray::NDArray(*self)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyValue<'ctx> for NDArrayValue<'ctx> {
|
||||
type Base = PointerValue<'ctx>;
|
||||
type Type = NDArrayType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
NDArrayType::from_type(
|
||||
self.as_base_value().get_type(),
|
||||
self.dtype,
|
||||
self.ndims,
|
||||
self.llvm_usize,
|
||||
)
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
self.value
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<NDArrayValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: NDArrayValue<'ctx>) -> Self {
|
||||
value.as_base_value()
|
||||
}
|
||||
}
|
||||
|
||||
/// Proxy type for accessing the `shape` array of an `NDArray` instance in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayShapeProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
|
||||
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayShapeProxy<'ctx, '_> {
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.0.shape().base_ptr(ctx, generator).get_type().get_element_type()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> PointerValue<'ctx> {
|
||||
self.0.shape_field(ctx).get(ctx, self.0.as_base_value(), self.0.name)
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
self.0.load_ndims(ctx)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let var_name = name.map(|v| format!("{v}.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(self.base_ptr(ctx, generator), &[*idx], var_name.as_str())
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let size = self.size(ctx, generator);
|
||||
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, size, "").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
in_range,
|
||||
"0:IndexError",
|
||||
"index {0} is out of bounds for axis 0 with size {1}",
|
||||
[Some(*idx), Some(self.0.load_ndims(ctx)), None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {}
|
||||
impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {}
|
||||
|
||||
impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
|
||||
fn downcast_to_type(
|
||||
&self,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
value.into_int_value()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> TypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
|
||||
fn upcast_from_type(
|
||||
&self,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> BasicValueEnum<'ctx> {
|
||||
value.into()
|
||||
}
|
||||
}
|
||||
|
||||
/// Proxy type for accessing the `strides` array of an `NDArray` instance in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayStridesProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
|
||||
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayStridesProxy<'ctx, '_> {
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.0.strides().base_ptr(ctx, generator).get_type().get_element_type()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> PointerValue<'ctx> {
|
||||
self.0.strides_field(ctx).get(ctx, self.0.as_base_value(), self.0.name)
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
self.0.load_ndims(ctx)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayStridesProxy<'ctx, '_> {
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let var_name = name.map(|v| format!("{v}.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(self.base_ptr(ctx, generator), &[*idx], var_name.as_str())
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let size = self.size(ctx, generator);
|
||||
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, size, "").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
in_range,
|
||||
"0:IndexError",
|
||||
"index {0} is out of bounds for axis 0 with size {1}",
|
||||
[Some(*idx), Some(self.0.load_ndims(ctx)), None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayStridesProxy<'ctx, '_> {}
|
||||
impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayStridesProxy<'ctx, '_> {}
|
||||
|
||||
impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayStridesProxy<'ctx, '_> {
|
||||
fn downcast_to_type(
|
||||
&self,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
value.into_int_value()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> TypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayStridesProxy<'ctx, '_> {
|
||||
fn upcast_from_type(
|
||||
&self,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> BasicValueEnum<'ctx> {
|
||||
value.into()
|
||||
}
|
||||
}
|
||||
|
||||
/// Proxy type for accessing the `data` array of an `NDArray` instance in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayDataProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
|
||||
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDataProxy<'ctx, '_> {
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
_: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.0.dtype.as_any_type_enum()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> PointerValue<'ctx> {
|
||||
self.0.data_field(ctx).get(ctx, self.0.as_base_value(), self.0.name)
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
irrt::ndarray::call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&self.as_slice_value(ctx, generator),
|
||||
(None, None),
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx> for NDArrayDataProxy<'ctx, '_> {
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let sizeof_elem = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(
|
||||
self.element_type(ctx, generator).size_of().unwrap(),
|
||||
idx.get_type(),
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
let idx = ctx.builder.build_int_mul(*idx, sizeof_elem, "").unwrap();
|
||||
let ptr = unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.base_ptr(ctx, generator),
|
||||
&[idx],
|
||||
name.unwrap_or_default(),
|
||||
)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
// Current implementation is transparent - The returned pointer type is
|
||||
// already cast into the expected type, allowing for immediately
|
||||
// load/store.
|
||||
ctx.builder
|
||||
.build_pointer_cast(
|
||||
ptr,
|
||||
BasicTypeEnum::try_from(self.element_type(ctx, generator))
|
||||
.unwrap()
|
||||
.ptr_type(AddressSpace::default()),
|
||||
"",
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let data_sz = self.size(ctx, generator);
|
||||
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, data_sz, "").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
in_range,
|
||||
"0:IndexError",
|
||||
"index {0} is out of bounds with size {1}",
|
||||
[Some(*idx), Some(self.0.load_ndims(ctx)), None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
let ptr = unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) };
|
||||
|
||||
// Current implementation is transparent - The returned pointer type is
|
||||
// already cast into the expected type, allowing for immediately
|
||||
// load/store.
|
||||
ctx.builder
|
||||
.build_pointer_cast(
|
||||
ptr,
|
||||
BasicTypeEnum::try_from(self.element_type(ctx, generator))
|
||||
.unwrap()
|
||||
.ptr_type(AddressSpace::default()),
|
||||
"",
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDataProxy<'ctx, '_> {}
|
||||
impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDataProxy<'ctx, '_> {}
|
||||
|
||||
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
|
||||
for NDArrayDataProxy<'ctx, '_>
|
||||
{
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
indices: &Index,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let indices_elem_ty = indices
|
||||
.ptr_offset(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.get_type()
|
||||
.get_element_type();
|
||||
let Ok(indices_elem_ty) = IntType::try_from(indices_elem_ty) else {
|
||||
panic!("Expected list[int32] but got {indices_elem_ty}")
|
||||
};
|
||||
assert_eq!(
|
||||
indices_elem_ty.get_bit_width(),
|
||||
32,
|
||||
"Expected list[int32] but got list[int{}]",
|
||||
indices_elem_ty.get_bit_width()
|
||||
);
|
||||
|
||||
let index = irrt::ndarray::call_ndarray_flatten_index(generator, ctx, *self.0, indices);
|
||||
let sizeof_elem = ctx
|
||||
.builder
|
||||
.build_int_truncate_or_bit_cast(
|
||||
self.element_type(ctx, generator).size_of().unwrap(),
|
||||
index.get_type(),
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
let index = ctx.builder.build_int_mul(index, sizeof_elem, "").unwrap();
|
||||
|
||||
let ptr = unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.base_ptr(ctx, generator),
|
||||
&[index],
|
||||
name.unwrap_or_default(),
|
||||
)
|
||||
.unwrap()
|
||||
};
|
||||
// TODO: Current implementation is transparent
|
||||
ctx.builder
|
||||
.build_pointer_cast(
|
||||
ptr,
|
||||
BasicTypeEnum::try_from(self.element_type(ctx, generator))
|
||||
.unwrap()
|
||||
.ptr_type(AddressSpace::default()),
|
||||
"",
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
indices: &Index,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let indices_size = indices.size(ctx, generator);
|
||||
let nidx_leq_ndims = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::SLE, indices_size, self.0.load_ndims(ctx), "")
|
||||
.unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
nidx_leq_ndims,
|
||||
"0:IndexError",
|
||||
"invalid index to scalar variable",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
let indices_len = indices.size(ctx, generator);
|
||||
let ndarray_len = self.0.load_ndims(ctx);
|
||||
let len = call_int_umin(ctx, indices_len, ndarray_len, None);
|
||||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(len, false),
|
||||
|generator, ctx, _, i| {
|
||||
let (dim_idx, dim_sz) = unsafe {
|
||||
(
|
||||
indices.get_unchecked(ctx, generator, &i, None).into_int_value(),
|
||||
self.0.shape().get_typed_unchecked(ctx, generator, &i, None),
|
||||
)
|
||||
};
|
||||
let dim_idx = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(dim_idx, dim_sz.get_type(), "")
|
||||
.unwrap();
|
||||
|
||||
let dim_lt =
|
||||
ctx.builder.build_int_compare(IntPredicate::SLT, dim_idx, dim_sz, "").unwrap();
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
dim_lt,
|
||||
"0:IndexError",
|
||||
"index {0} is out of bounds for axis 0 with size {1}",
|
||||
[Some(dim_idx), Some(dim_sz), None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
Ok(())
|
||||
},
|
||||
llvm_usize.const_int(1, false),
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
let ptr = unsafe { self.ptr_offset_unchecked(ctx, generator, indices, name) };
|
||||
// TODO: Current implementation is transparent
|
||||
ctx.builder
|
||||
.build_pointer_cast(
|
||||
ptr,
|
||||
BasicTypeEnum::try_from(self.element_type(ctx, generator))
|
||||
.unwrap()
|
||||
.ptr_type(AddressSpace::default()),
|
||||
"",
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> UntypedArrayLikeAccessor<'ctx, Index>
|
||||
for NDArrayDataProxy<'ctx, '_>
|
||||
{
|
||||
}
|
||||
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> UntypedArrayLikeMutator<'ctx, Index>
|
||||
for NDArrayDataProxy<'ctx, '_>
|
||||
{
|
||||
}
|
||||
|
||||
/// A version of [`call_nac3_ndarray_set_strides_by_shape`] in Rust.
|
||||
///
|
||||
/// This function is used generating strides for globally defined contiguous ndarrays.
|
||||
#[must_use]
|
||||
pub fn make_contiguous_strides(itemsize: u64, ndims: u64, shape: &[u64]) -> Vec<u64> {
|
||||
let mut strides = Vec::with_capacity(ndims as usize);
|
||||
let mut stride_product = 1u64;
|
||||
for i in 0..ndims {
|
||||
let axis = ndims - i - 1;
|
||||
strides[axis as usize] = stride_product * itemsize;
|
||||
stride_product *= shape[axis as usize];
|
||||
}
|
||||
strides
|
||||
}
|
||||
|
||||
/// A convenience enum for implementing functions that acts on scalars or ndarrays or both.
|
||||
#[derive(Clone, Copy)]
|
||||
pub enum ScalarOrNDArray<'ctx> {
|
||||
Scalar(BasicValueEnum<'ctx>),
|
||||
NDArray(NDArrayValue<'ctx>),
|
||||
}
|
||||
|
||||
impl<'ctx> ScalarOrNDArray<'ctx> {
|
||||
/// Get the underlying [`BasicValueEnum<'ctx>`] of this [`ScalarOrNDArray`].
|
||||
#[must_use]
|
||||
pub fn to_basic_value_enum(self) -> BasicValueEnum<'ctx> {
|
||||
match self {
|
||||
ScalarOrNDArray::Scalar(scalar) => scalar,
|
||||
ScalarOrNDArray::NDArray(ndarray) => ndarray.as_base_value().into(),
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,176 +0,0 @@
|
||||
use inkwell::{
|
||||
types::{BasicType, IntType},
|
||||
values::{BasicValueEnum, IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use super::{NDArrayValue, ProxyValue, TypedArrayLikeAccessor, TypedArrayLikeMutator};
|
||||
use crate::codegen::{
|
||||
irrt,
|
||||
stmt::{gen_for_callback, BreakContinueHooks},
|
||||
types::{ndarray::NDIterType, structure::StructField},
|
||||
values::{ArraySliceValue, TypedArrayLikeAdapter},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDIterValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
parent: NDArrayValue<'ctx>,
|
||||
indices: ArraySliceValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDIterValue<'ctx> {
|
||||
/// Checks whether `value` is an instance of `NDArray`, returning [Err] if `value` is not an
|
||||
/// instance.
|
||||
pub fn is_representable(
|
||||
value: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
<Self as ProxyValue>::Type::is_representable(value.get_type(), llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an [`NDArrayValue`] from a [`PointerValue`].
|
||||
#[must_use]
|
||||
pub fn from_pointer_value(
|
||||
ptr: PointerValue<'ctx>,
|
||||
parent: NDArrayValue<'ctx>,
|
||||
indices: ArraySliceValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
|
||||
|
||||
Self { value: ptr, parent, indices, llvm_usize, name }
|
||||
}
|
||||
|
||||
/// Is the current iteration valid?
|
||||
///
|
||||
/// If true, then `element`, `indices` and `nth` contain details about the current element.
|
||||
///
|
||||
/// If `ndarray` is unsized, this returns true only for the first iteration.
|
||||
/// If `ndarray` is 0-sized, this always returns false.
|
||||
#[must_use]
|
||||
pub fn has_element<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> IntValue<'ctx> {
|
||||
irrt::ndarray::call_nac3_nditer_has_element(generator, ctx, *self)
|
||||
}
|
||||
|
||||
/// Go to the next element. If `has_element()` is false, then this has undefined behavior.
|
||||
///
|
||||
/// If `ndarray` is unsized, this can only be called once.
|
||||
/// If `ndarray` is 0-sized, this can never be called.
|
||||
pub fn next<G: CodeGenerator + ?Sized>(&self, generator: &G, ctx: &CodeGenContext<'ctx, '_>) {
|
||||
irrt::ndarray::call_nac3_nditer_next(generator, ctx, *self);
|
||||
}
|
||||
|
||||
fn element(&self, ctx: &CodeGenContext<'ctx, '_>) -> StructField<'ctx, PointerValue<'ctx>> {
|
||||
self.get_type().get_fields(ctx.ctx).element
|
||||
}
|
||||
|
||||
/// Get pointer to the current element.
|
||||
#[must_use]
|
||||
pub fn get_pointer(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let elem_ty = self.parent.dtype;
|
||||
|
||||
let p = self.element(ctx).get(ctx, self.as_base_value(), None);
|
||||
ctx.builder
|
||||
.build_pointer_cast(p, elem_ty.ptr_type(AddressSpace::default()), "element")
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Get the value of the current element.
|
||||
#[must_use]
|
||||
pub fn get_scalar(&self, ctx: &CodeGenContext<'ctx, '_>) -> BasicValueEnum<'ctx> {
|
||||
let p = self.get_pointer(ctx);
|
||||
ctx.builder.build_load(p, "value").unwrap()
|
||||
}
|
||||
|
||||
fn nth(&self, ctx: &CodeGenContext<'ctx, '_>) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields(ctx.ctx).nth
|
||||
}
|
||||
|
||||
/// Get the index of the current element if this ndarray were a flat ndarray.
|
||||
#[must_use]
|
||||
pub fn get_index(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.nth(ctx).get(ctx, self.as_base_value(), None)
|
||||
}
|
||||
|
||||
/// Get the indices of the current element.
|
||||
#[must_use]
|
||||
pub fn get_indices(
|
||||
&'ctx self,
|
||||
) -> impl TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> + TypedArrayLikeMutator<'ctx, IntValue<'ctx>>
|
||||
{
|
||||
TypedArrayLikeAdapter::from(
|
||||
self.indices,
|
||||
Box::new(|ctx, val| {
|
||||
ctx.builder
|
||||
.build_int_z_extend_or_bit_cast(val.into_int_value(), self.llvm_usize, "")
|
||||
.unwrap()
|
||||
}),
|
||||
Box::new(|_, val| val.into()),
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyValue<'ctx> for NDIterValue<'ctx> {
|
||||
type Base = PointerValue<'ctx>;
|
||||
type Type = NDIterType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
NDIterType::from_type(self.as_base_value().get_type(), self.llvm_usize)
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
self.value
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<NDIterValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: NDIterValue<'ctx>) -> Self {
|
||||
value.as_base_value()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayValue<'ctx> {
|
||||
/// Iterate through every element in the ndarray.
|
||||
///
|
||||
/// `body` has access to [`BreakContinueHooks`] to short-circuit and [`NDIterValue`] to
|
||||
/// get properties of the current iteration (e.g., the current element, indices, etc.)
|
||||
pub fn foreach<'a, G, F>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, 'a>,
|
||||
body: F,
|
||||
) -> Result<(), String>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
F: FnOnce(
|
||||
&mut G,
|
||||
&mut CodeGenContext<'ctx, 'a>,
|
||||
BreakContinueHooks<'ctx>,
|
||||
NDIterValue<'ctx>,
|
||||
) -> Result<(), String>,
|
||||
{
|
||||
gen_for_callback(
|
||||
generator,
|
||||
ctx,
|
||||
Some("ndarray_foreach"),
|
||||
|generator, ctx| {
|
||||
Ok(NDIterType::new(generator, ctx.ctx).construct(generator, ctx, *self))
|
||||
},
|
||||
|generator, ctx, nditer| Ok(nditer.has_element(generator, ctx)),
|
||||
|generator, ctx, hooks, nditer| body(generator, ctx, hooks, nditer),
|
||||
|generator, ctx, nditer| {
|
||||
nditer.next(generator, ctx);
|
||||
Ok(())
|
||||
},
|
||||
)
|
||||
}
|
||||
}
|
||||
@ -1,36 +0,0 @@
|
||||
use std::iter::{once, repeat_n};
|
||||
|
||||
use itertools::Itertools;
|
||||
|
||||
use crate::codegen::{
|
||||
values::ndarray::{NDArrayValue, RustNDIndex},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
impl<'ctx> NDArrayValue<'ctx> {
|
||||
/// Make sure the ndarray is at least `ndmin`-dimensional.
|
||||
///
|
||||
/// If this ndarray's `ndims` is less than `ndmin`, a view is created on this with 1s prepended
|
||||
/// to the shape. Otherwise, this function does nothing and return this ndarray.
|
||||
#[must_use]
|
||||
pub fn atleast_nd<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndmin: u64,
|
||||
) -> Self {
|
||||
assert!(self.ndims.is_some(), "NDArrayValue::atleast_nd is only supported for instances with compile-time known ndims (self.ndims = Some(...))");
|
||||
|
||||
let ndims = self.ndims.unwrap();
|
||||
|
||||
if ndims < ndmin {
|
||||
// Extend the dimensions with np.newaxis.
|
||||
let indices = repeat_n(RustNDIndex::NewAxis, (ndmin - ndims) as usize)
|
||||
.chain(once(RustNDIndex::Ellipsis))
|
||||
.collect_vec();
|
||||
self.index(generator, ctx, &indices)
|
||||
} else {
|
||||
*self
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,153 +0,0 @@
|
||||
use inkwell::values::{BasicValueEnum, IntValue, PointerValue};
|
||||
|
||||
use super::ProxyValue;
|
||||
use crate::codegen::{types::RangeType, CodeGenContext};
|
||||
|
||||
/// Proxy type for accessing a `range` value in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct RangeValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
}
|
||||
|
||||
impl<'ctx> RangeValue<'ctx> {
|
||||
/// Checks whether `value` is an instance of `range`, returning [Err] if `value` is not an instance.
|
||||
pub fn is_representable(value: PointerValue<'ctx>) -> Result<(), String> {
|
||||
RangeType::is_representable(value.get_type())
|
||||
}
|
||||
|
||||
/// Creates an [`RangeValue`] from a [`PointerValue`].
|
||||
#[must_use]
|
||||
pub fn from_pointer_value(ptr: PointerValue<'ctx>, name: Option<&'ctx str>) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr).is_ok());
|
||||
|
||||
RangeValue { value: ptr, name }
|
||||
}
|
||||
|
||||
fn ptr_to_start(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let var_name = self.name.map(|v| format!("{v}.start.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.as_base_value(),
|
||||
&[llvm_i32.const_zero(), llvm_i32.const_int(0, false)],
|
||||
var_name.as_str(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_to_end(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let var_name = self.name.map(|v| format!("{v}.end.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.as_base_value(),
|
||||
&[llvm_i32.const_zero(), llvm_i32.const_int(1, false)],
|
||||
var_name.as_str(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_to_step(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let var_name = self.name.map(|v| format!("{v}.step.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.as_base_value(),
|
||||
&[llvm_i32.const_zero(), llvm_i32.const_int(2, false)],
|
||||
var_name.as_str(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
/// Stores the `start` value into this instance.
|
||||
pub fn store_start(&self, ctx: &CodeGenContext<'ctx, '_>, start: IntValue<'ctx>) {
|
||||
debug_assert_eq!(start.get_type().get_bit_width(), 32);
|
||||
|
||||
let pstart = self.ptr_to_start(ctx);
|
||||
ctx.builder.build_store(pstart, start).unwrap();
|
||||
}
|
||||
|
||||
/// Returns the `start` value of this `range`.
|
||||
pub fn load_start(&self, ctx: &CodeGenContext<'ctx, '_>, name: Option<&str>) -> IntValue<'ctx> {
|
||||
let pstart = self.ptr_to_start(ctx);
|
||||
let var_name = name
|
||||
.map(ToString::to_string)
|
||||
.or_else(|| self.name.map(|v| format!("{v}.start")))
|
||||
.unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(pstart, var_name.as_str())
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Stores the `end` value into this instance.
|
||||
pub fn store_end(&self, ctx: &CodeGenContext<'ctx, '_>, end: IntValue<'ctx>) {
|
||||
debug_assert_eq!(end.get_type().get_bit_width(), 32);
|
||||
|
||||
let pend = self.ptr_to_end(ctx);
|
||||
ctx.builder.build_store(pend, end).unwrap();
|
||||
}
|
||||
|
||||
/// Returns the `end` value of this `range`.
|
||||
pub fn load_end(&self, ctx: &CodeGenContext<'ctx, '_>, name: Option<&str>) -> IntValue<'ctx> {
|
||||
let pend = self.ptr_to_end(ctx);
|
||||
let var_name = name
|
||||
.map(ToString::to_string)
|
||||
.or_else(|| self.name.map(|v| format!("{v}.end")))
|
||||
.unwrap_or_default();
|
||||
|
||||
ctx.builder.build_load(pend, var_name.as_str()).map(BasicValueEnum::into_int_value).unwrap()
|
||||
}
|
||||
|
||||
/// Stores the `step` value into this instance.
|
||||
pub fn store_step(&self, ctx: &CodeGenContext<'ctx, '_>, step: IntValue<'ctx>) {
|
||||
debug_assert_eq!(step.get_type().get_bit_width(), 32);
|
||||
|
||||
let pstep = self.ptr_to_step(ctx);
|
||||
ctx.builder.build_store(pstep, step).unwrap();
|
||||
}
|
||||
|
||||
/// Returns the `step` value of this `range`.
|
||||
pub fn load_step(&self, ctx: &CodeGenContext<'ctx, '_>, name: Option<&str>) -> IntValue<'ctx> {
|
||||
let pstep = self.ptr_to_step(ctx);
|
||||
let var_name = name
|
||||
.map(ToString::to_string)
|
||||
.or_else(|| self.name.map(|v| format!("{v}.step")))
|
||||
.unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(pstep, var_name.as_str())
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyValue<'ctx> for RangeValue<'ctx> {
|
||||
type Base = PointerValue<'ctx>;
|
||||
type Type = RangeType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
RangeType::from_type(self.value.get_type())
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
self.value
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<RangeValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: RangeValue<'ctx>) -> Self {
|
||||
value.as_base_value()
|
||||
}
|
||||
}
|
||||
@ -1,3 +0,0 @@
|
||||
pub use slice::*;
|
||||
|
||||
mod slice;
|
||||
@ -1,231 +0,0 @@
|
||||
use inkwell::{
|
||||
types::IntType,
|
||||
values::{IntValue, PointerValue},
|
||||
};
|
||||
|
||||
use nac3parser::ast::Expr;
|
||||
|
||||
use crate::{
|
||||
codegen::{
|
||||
types::{structure::StructField, utils::SliceType},
|
||||
values::ProxyValue,
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
typecheck::typedef::Type,
|
||||
};
|
||||
|
||||
/// An IRRT representation of an (unresolved) slice.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
int_ty: IntType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
}
|
||||
|
||||
impl<'ctx> SliceValue<'ctx> {
|
||||
/// Checks whether `value` is an instance of `ContiguousNDArray`, returning [Err] if `value` is
|
||||
/// not an instance.
|
||||
pub fn is_representable(
|
||||
value: PointerValue<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
<Self as ProxyValue<'ctx>>::Type::is_representable(value.get_type(), llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an [`SliceValue`] from a [`PointerValue`].
|
||||
#[must_use]
|
||||
pub fn from_pointer_value(
|
||||
ptr: PointerValue<'ctx>,
|
||||
int_ty: IntType<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
|
||||
|
||||
Self { value: ptr, int_ty, llvm_usize, name }
|
||||
}
|
||||
|
||||
fn start_defined_field(&self) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields().start_defined
|
||||
}
|
||||
|
||||
pub fn load_start_defined(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.start_defined_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
fn start_field(&self) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields().start
|
||||
}
|
||||
|
||||
pub fn load_start(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.start_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
pub fn store_start(&self, ctx: &CodeGenContext<'ctx, '_>, value: Option<IntValue<'ctx>>) {
|
||||
match value {
|
||||
Some(start) => {
|
||||
self.start_defined_field().set(
|
||||
ctx,
|
||||
self.value,
|
||||
ctx.ctx.bool_type().const_all_ones(),
|
||||
self.name,
|
||||
);
|
||||
self.start_field().set(ctx, self.value, start, self.name);
|
||||
}
|
||||
|
||||
None => self.start_defined_field().set(
|
||||
ctx,
|
||||
self.value,
|
||||
ctx.ctx.bool_type().const_zero(),
|
||||
self.name,
|
||||
),
|
||||
}
|
||||
}
|
||||
|
||||
fn stop_defined_field(&self) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields().stop_defined
|
||||
}
|
||||
|
||||
pub fn load_stop_defined(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.stop_defined_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
fn stop_field(&self) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields().stop
|
||||
}
|
||||
|
||||
pub fn load_stop(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.stop_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
pub fn store_stop(&self, ctx: &CodeGenContext<'ctx, '_>, value: Option<IntValue<'ctx>>) {
|
||||
match value {
|
||||
Some(stop) => {
|
||||
self.stop_defined_field().set(
|
||||
ctx,
|
||||
self.value,
|
||||
ctx.ctx.bool_type().const_all_ones(),
|
||||
self.name,
|
||||
);
|
||||
self.stop_field().set(ctx, self.value, stop, self.name);
|
||||
}
|
||||
|
||||
None => self.stop_defined_field().set(
|
||||
ctx,
|
||||
self.value,
|
||||
ctx.ctx.bool_type().const_zero(),
|
||||
self.name,
|
||||
),
|
||||
}
|
||||
}
|
||||
|
||||
fn step_defined_field(&self) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields().step_defined
|
||||
}
|
||||
|
||||
pub fn load_step_defined(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.step_defined_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
fn step_field(&self) -> StructField<'ctx, IntValue<'ctx>> {
|
||||
self.get_type().get_fields().step
|
||||
}
|
||||
|
||||
pub fn load_step(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
self.step_field().get(ctx, self.value, self.name)
|
||||
}
|
||||
|
||||
pub fn store_step(&self, ctx: &CodeGenContext<'ctx, '_>, value: Option<IntValue<'ctx>>) {
|
||||
match value {
|
||||
Some(step) => {
|
||||
self.step_defined_field().set(
|
||||
ctx,
|
||||
self.value,
|
||||
ctx.ctx.bool_type().const_all_ones(),
|
||||
self.name,
|
||||
);
|
||||
self.step_field().set(ctx, self.value, step, self.name);
|
||||
}
|
||||
|
||||
None => self.step_defined_field().set(
|
||||
ctx,
|
||||
self.value,
|
||||
ctx.ctx.bool_type().const_zero(),
|
||||
self.name,
|
||||
),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyValue<'ctx> for SliceValue<'ctx> {
|
||||
type Base = PointerValue<'ctx>;
|
||||
type Type = SliceType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
Self::Type::from_type(self.value.get_type(), self.int_ty, self.llvm_usize)
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
self.value
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<SliceValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: SliceValue<'ctx>) -> Self {
|
||||
value.as_base_value()
|
||||
}
|
||||
}
|
||||
|
||||
/// A slice represented in compile-time by `start`, `stop` and `step`, all held as LLVM values.
|
||||
// TODO: Rename this to CTConstSlice
|
||||
#[derive(Debug, Copy, Clone)]
|
||||
pub struct RustSlice<'ctx> {
|
||||
int_ty: IntType<'ctx>,
|
||||
start: Option<IntValue<'ctx>>,
|
||||
stop: Option<IntValue<'ctx>>,
|
||||
step: Option<IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> RustSlice<'ctx> {
|
||||
/// Generate LLVM IR for an [`ExprKind::Slice`] and convert it into a [`RustSlice`].
|
||||
#[allow(clippy::type_complexity)]
|
||||
pub fn from_slice_expr<G: CodeGenerator>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
lower: &Option<Box<Expr<Option<Type>>>>,
|
||||
upper: &Option<Box<Expr<Option<Type>>>>,
|
||||
step: &Option<Box<Expr<Option<Type>>>>,
|
||||
) -> Result<RustSlice<'ctx>, String> {
|
||||
let mut value_mapper = |value_expr: &Option<Box<Expr<Option<Type>>>>| -> Result<_, String> {
|
||||
Ok(match value_expr {
|
||||
None => None,
|
||||
Some(value_expr) => {
|
||||
let value_expr = generator
|
||||
.gen_expr(ctx, value_expr)?
|
||||
.map(|value| {
|
||||
value.to_basic_value_enum(ctx, generator, ctx.primitives.int32)
|
||||
})
|
||||
.unwrap()?;
|
||||
|
||||
Some(value_expr.into_int_value())
|
||||
}
|
||||
})
|
||||
};
|
||||
|
||||
let start = value_mapper(lower)?;
|
||||
let stop = value_mapper(upper)?;
|
||||
let step = value_mapper(step)?;
|
||||
|
||||
Ok(RustSlice { int_ty: ctx.ctx.i32_type(), start, stop, step })
|
||||
}
|
||||
|
||||
/// Write the contents to an LLVM [`SliceValue`].
|
||||
pub fn write_to_slice(&self, ctx: &CodeGenContext<'ctx, '_>, dst_slice_ptr: SliceValue<'ctx>) {
|
||||
assert_eq!(self.int_ty, dst_slice_ptr.int_ty);
|
||||
|
||||
dst_slice_ptr.store_start(ctx, self.start);
|
||||
dst_slice_ptr.store_stop(ctx, self.stop);
|
||||
dst_slice_ptr.store_step(ctx, self.step);
|
||||
}
|
||||
}
|
||||
@ -1,4 +1,10 @@
|
||||
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
|
||||
#![deny(
|
||||
future_incompatible,
|
||||
let_underscore,
|
||||
nonstandard_style,
|
||||
rust_2024_compatibility,
|
||||
clippy::all
|
||||
)]
|
||||
#![warn(clippy::pedantic)]
|
||||
#![allow(
|
||||
dead_code,
|
||||
@ -21,5 +27,3 @@ pub mod codegen;
|
||||
pub mod symbol_resolver;
|
||||
pub mod toplevel;
|
||||
pub mod typecheck;
|
||||
|
||||
extern crate self as nac3core;
|
||||
|
||||
@ -11,18 +11,18 @@ use itertools::Either;
|
||||
use strum::IntoEnumIterator;
|
||||
|
||||
use super::{
|
||||
helper::{debug_assert_prim_is_allowed, make_exception_fields, PrimDef, PrimDefDetails},
|
||||
numpy::make_ndarray_ty,
|
||||
helper::{debug_assert_prim_is_allowed, make_exception_fields, PrimDefDetails},
|
||||
*,
|
||||
};
|
||||
use crate::{
|
||||
codegen::{
|
||||
builtin_fns,
|
||||
classes::{ProxyValue, RangeValue},
|
||||
numpy::*,
|
||||
stmt::exn_constructor,
|
||||
values::{ProxyValue, RangeValue},
|
||||
},
|
||||
symbol_resolver::SymbolValue,
|
||||
toplevel::{helper::PrimDef, numpy::make_ndarray_ty},
|
||||
typecheck::typedef::{into_var_map, iter_type_vars, TypeVar, VarMap},
|
||||
};
|
||||
|
||||
@ -710,7 +710,7 @@ impl<'a> BuiltinBuilder<'a> {
|
||||
let (zelf_ty, zelf) = obj.unwrap();
|
||||
let zelf =
|
||||
zelf.to_basic_value_enum(ctx, generator, zelf_ty)?.into_pointer_value();
|
||||
let zelf = RangeValue::from_pointer_value(zelf, Some("range"));
|
||||
let zelf = RangeValue::from_ptr_val(zelf, Some("range"));
|
||||
|
||||
let mut start = None;
|
||||
let mut stop = None;
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@ -3,11 +3,13 @@ use std::convert::TryInto;
|
||||
use strum::IntoEnumIterator;
|
||||
use strum_macros::EnumIter;
|
||||
|
||||
use nac3parser::ast::{Constant, ExprKind, Location};
|
||||
use ast::ExprKind;
|
||||
use nac3parser::ast::{Constant, Location};
|
||||
|
||||
use super::{numpy::unpack_ndarray_var_tys, *};
|
||||
use super::*;
|
||||
use crate::{
|
||||
symbol_resolver::SymbolValue,
|
||||
toplevel::numpy::unpack_ndarray_var_tys,
|
||||
typecheck::typedef::{into_var_map, iter_type_vars, Mapping, TypeVarId, VarMap},
|
||||
};
|
||||
|
||||
@ -598,7 +600,7 @@ impl TopLevelComposer {
|
||||
name: String,
|
||||
simple_name: StrRef,
|
||||
ty: Type,
|
||||
ty_decl: Option<Expr>,
|
||||
ty_decl: Expr,
|
||||
resolver: Option<Arc<dyn SymbolResolver + Send + Sync>>,
|
||||
loc: Option<Location>,
|
||||
) -> TopLevelDef {
|
||||
@ -624,6 +626,64 @@ impl TopLevelComposer {
|
||||
Err(HashSet::from([format!("no method {method_name} in the current class")]))
|
||||
}
|
||||
|
||||
/// get all base class def id of a class, excluding itself. \
|
||||
/// this function should called only after the direct parent is set
|
||||
/// and before all the ancestors are set
|
||||
/// and when we allow single inheritance \
|
||||
/// the order of the returned list is from the child to the deepest ancestor
|
||||
pub fn get_all_ancestors_helper(
|
||||
child: &TypeAnnotation,
|
||||
temp_def_list: &[Arc<RwLock<TopLevelDef>>],
|
||||
) -> Result<Vec<TypeAnnotation>, HashSet<String>> {
|
||||
let mut result: Vec<TypeAnnotation> = Vec::new();
|
||||
let mut parent = Self::get_parent(child, temp_def_list);
|
||||
while let Some(p) = parent {
|
||||
parent = Self::get_parent(&p, temp_def_list);
|
||||
let p_id = if let TypeAnnotation::CustomClass { id, .. } = &p {
|
||||
*id
|
||||
} else {
|
||||
unreachable!("must be class kind annotation")
|
||||
};
|
||||
// check cycle
|
||||
let no_cycle = result.iter().all(|x| {
|
||||
let TypeAnnotation::CustomClass { id, .. } = x else {
|
||||
unreachable!("must be class kind annotation")
|
||||
};
|
||||
|
||||
id.0 != p_id.0
|
||||
});
|
||||
if no_cycle {
|
||||
result.push(p);
|
||||
} else {
|
||||
return Err(HashSet::from(["cyclic inheritance detected".into()]));
|
||||
}
|
||||
}
|
||||
Ok(result)
|
||||
}
|
||||
|
||||
/// should only be called when finding all ancestors, so panic when wrong
|
||||
fn get_parent(
|
||||
child: &TypeAnnotation,
|
||||
temp_def_list: &[Arc<RwLock<TopLevelDef>>],
|
||||
) -> Option<TypeAnnotation> {
|
||||
let child_id = if let TypeAnnotation::CustomClass { id, .. } = child {
|
||||
*id
|
||||
} else {
|
||||
unreachable!("should be class type annotation")
|
||||
};
|
||||
let child_def = temp_def_list.get(child_id.0).unwrap();
|
||||
let child_def = child_def.read();
|
||||
let TopLevelDef::Class { ancestors, .. } = &*child_def else {
|
||||
unreachable!("child must be top level class def")
|
||||
};
|
||||
|
||||
if ancestors.is_empty() {
|
||||
None
|
||||
} else {
|
||||
Some(ancestors[0].clone())
|
||||
}
|
||||
}
|
||||
|
||||
/// get the `var_id` of a given `TVar` type
|
||||
pub fn get_var_id(var_ty: Type, unifier: &mut Unifier) -> Result<TypeVarId, HashSet<String>> {
|
||||
if let TypeEnum::TVar { id, .. } = unifier.get_ty(var_ty).as_ref() {
|
||||
@ -933,139 +993,6 @@ impl TopLevelComposer {
|
||||
))
|
||||
}
|
||||
}
|
||||
|
||||
/// Parses the class type variables and direct parents
|
||||
/// we only allow single inheritance
|
||||
pub fn analyze_class_bases(
|
||||
class_def: &Arc<RwLock<TopLevelDef>>,
|
||||
class_ast: &Option<Stmt>,
|
||||
temp_def_list: &[Arc<RwLock<TopLevelDef>>],
|
||||
unifier: &mut Unifier,
|
||||
primitives_store: &PrimitiveStore,
|
||||
) -> Result<(), HashSet<String>> {
|
||||
let mut class_def = class_def.write();
|
||||
let (class_def_id, class_ancestors, class_bases_ast, class_type_vars, class_resolver) = {
|
||||
let TopLevelDef::Class { object_id, ancestors, type_vars, resolver, .. } =
|
||||
&mut *class_def
|
||||
else {
|
||||
unreachable!()
|
||||
};
|
||||
let Some(ast::Located { node: ast::StmtKind::ClassDef { bases, .. }, .. }) = class_ast
|
||||
else {
|
||||
unreachable!()
|
||||
};
|
||||
(object_id, ancestors, bases, type_vars, resolver.as_ref().unwrap().as_ref())
|
||||
};
|
||||
|
||||
let mut is_generic = false;
|
||||
let mut has_base = false;
|
||||
// Check class bases for typevars
|
||||
for b in class_bases_ast {
|
||||
match &b.node {
|
||||
// analyze typevars bounded to the class,
|
||||
// only support things like `class A(Generic[T, V])`,
|
||||
// things like `class A(Generic[T, V, ImportedModule.T])` is not supported
|
||||
// i.e. only simple names are allowed in the subscript
|
||||
// should update the TopLevelDef::Class.typevars and the TypeEnum::TObj.params
|
||||
ast::ExprKind::Subscript { value, slice, .. } if matches!(&value.node, ast::ExprKind::Name { id, .. } if id == &"Generic".into()) =>
|
||||
{
|
||||
if is_generic {
|
||||
return Err(HashSet::from([format!(
|
||||
"only single Generic[...] is allowed (at {})",
|
||||
b.location
|
||||
)]));
|
||||
}
|
||||
is_generic = true;
|
||||
|
||||
let type_var_list: Vec<&ast::Expr<()>>;
|
||||
// if `class A(Generic[T, V, G])`
|
||||
if let ast::ExprKind::Tuple { elts, .. } = &slice.node {
|
||||
type_var_list = elts.iter().collect_vec();
|
||||
// `class A(Generic[T])`
|
||||
} else {
|
||||
type_var_list = vec![&**slice];
|
||||
}
|
||||
|
||||
let type_vars = type_var_list
|
||||
.into_iter()
|
||||
.map(|e| {
|
||||
class_resolver.parse_type_annotation(
|
||||
temp_def_list,
|
||||
unifier,
|
||||
primitives_store,
|
||||
e,
|
||||
)
|
||||
})
|
||||
.collect::<Result<Vec<_>, _>>()?;
|
||||
|
||||
class_type_vars.extend(type_vars);
|
||||
}
|
||||
ast::ExprKind::Name { .. } | ast::ExprKind::Subscript { .. } => {
|
||||
if has_base {
|
||||
return Err(HashSet::from([format!("a class definition can only have at most one base class declaration and one generic declaration (at {})", b.location )]));
|
||||
}
|
||||
has_base = true;
|
||||
// the function parse_ast_to make sure that no type var occurred in
|
||||
// bast_ty if it is a CustomClassKind
|
||||
let base_ty = parse_ast_to_type_annotation_kinds(
|
||||
class_resolver,
|
||||
temp_def_list,
|
||||
unifier,
|
||||
primitives_store,
|
||||
b,
|
||||
vec![(*class_def_id, class_type_vars.clone())]
|
||||
.into_iter()
|
||||
.collect::<HashMap<_, _>>(),
|
||||
)?;
|
||||
if let TypeAnnotation::CustomClass { .. } = &base_ty {
|
||||
class_ancestors.push(base_ty);
|
||||
} else {
|
||||
return Err(HashSet::from([format!(
|
||||
"class base declaration can only be custom class (at {})",
|
||||
b.location
|
||||
)]));
|
||||
}
|
||||
}
|
||||
_ => {
|
||||
return Err(HashSet::from([format!(
|
||||
"unsupported statement in class defintion (at {})",
|
||||
b.location
|
||||
)]));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// gets all ancestors of a class
|
||||
pub fn analyze_class_ancestors(
|
||||
class_def: &Arc<RwLock<TopLevelDef>>,
|
||||
temp_def_list: &[Arc<RwLock<TopLevelDef>>],
|
||||
) {
|
||||
// Check if class has a direct parent
|
||||
let mut class_def = class_def.write();
|
||||
let TopLevelDef::Class { ancestors, type_vars, object_id, .. } = &mut *class_def else {
|
||||
unreachable!()
|
||||
};
|
||||
let mut anc_set = HashMap::new();
|
||||
|
||||
if let Some(ancestor) = ancestors.first() {
|
||||
let TypeAnnotation::CustomClass { id, .. } = ancestor else { unreachable!() };
|
||||
let TopLevelDef::Class { ancestors: parent_ancestors, .. } =
|
||||
&*temp_def_list[id.0].read()
|
||||
else {
|
||||
unreachable!()
|
||||
};
|
||||
for anc in parent_ancestors.iter().skip(1) {
|
||||
let TypeAnnotation::CustomClass { id, .. } = anc else { unreachable!() };
|
||||
anc_set.insert(id, anc.clone());
|
||||
}
|
||||
ancestors.extend(anc_set.into_values());
|
||||
}
|
||||
// push `self` as first ancestor of class
|
||||
ancestors.insert(0, make_self_type_annotation(type_vars.as_slice(), *object_id));
|
||||
}
|
||||
}
|
||||
|
||||
pub fn parse_parameter_default_value(
|
||||
|
||||
@ -23,19 +23,19 @@ use crate::{
|
||||
},
|
||||
},
|
||||
};
|
||||
use composer::*;
|
||||
use type_annotation::*;
|
||||
|
||||
#[derive(PartialEq, Eq, PartialOrd, Ord, Clone, Copy, Hash, Debug)]
|
||||
pub struct DefinitionId(pub usize);
|
||||
|
||||
pub mod builtins;
|
||||
pub mod composer;
|
||||
pub mod helper;
|
||||
pub mod numpy;
|
||||
pub mod type_annotation;
|
||||
use composer::*;
|
||||
use type_annotation::*;
|
||||
#[cfg(test)]
|
||||
mod test;
|
||||
pub mod type_annotation;
|
||||
|
||||
#[derive(PartialEq, Eq, PartialOrd, Ord, Clone, Copy, Hash, Debug)]
|
||||
pub struct DefinitionId(pub usize);
|
||||
|
||||
type GenCallCallback = dyn for<'ctx, 'a> Fn(
|
||||
&mut CodeGenContext<'ctx, 'a>,
|
||||
@ -158,8 +158,8 @@ pub enum TopLevelDef {
|
||||
/// Type of the global variable.
|
||||
ty: Type,
|
||||
|
||||
/// The declared type of the global variable, or [`None`] if no type annotation is provided.
|
||||
ty_decl: Option<Expr>,
|
||||
/// The declared type of the global variable.
|
||||
ty_decl: Expr,
|
||||
|
||||
/// Symbol resolver of the module defined the class.
|
||||
resolver: Option<Arc<dyn SymbolResolver + Send + Sync>>,
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user