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Author | SHA1 | Date |
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lyken | 991103c6f0 | |
lyken | d3a5c5a48a | |
lyken | 496171a4a5 | |
lyken | d90604b713 | |
lyken | 0946bd86ea | |
lyken | 29734ce3af | |
lyken | b940b0a3a1 | |
lyken | b12d7fcb2d | |
lyken | 628965e519 | |
lyken | 61dd9762d8 | |
lyken | cc8103152f | |
lyken | b8c0d5836f | |
lyken | 0cc7e41c6f | |
lyken | d92cccb85e | |
lyken | 3344a2bcd3 | |
lyken | 51a099b602 | |
lyken | 1f2bb80812 | |
lyken | 709844b855 | |
lyken | 73937730e0 | |
lyken | 5faac4b9d4 | |
lyken | c4d54b198b | |
lyken | 9ad7a78dbe | |
lyken | 1721ebac66 | |
lyken | f033639415 | |
lyken | 3116f11814 | |
lyken | 5047379ac0 |
|
@ -1,32 +0,0 @@
|
|||
BasedOnStyle: LLVM
|
||||
|
||||
Language: Cpp
|
||||
Standard: Cpp11
|
||||
|
||||
AccessModifierOffset: -1
|
||||
AlignEscapedNewlines: Left
|
||||
AlwaysBreakAfterReturnType: None
|
||||
AlwaysBreakTemplateDeclarations: Yes
|
||||
AllowAllParametersOfDeclarationOnNextLine: false
|
||||
AllowShortFunctionsOnASingleLine: Inline
|
||||
BinPackParameters: false
|
||||
BreakBeforeBinaryOperators: NonAssignment
|
||||
BreakBeforeTernaryOperators: true
|
||||
BreakConstructorInitializers: AfterColon
|
||||
BreakInheritanceList: AfterColon
|
||||
ColumnLimit: 120
|
||||
ConstructorInitializerAllOnOneLineOrOnePerLine: true
|
||||
ContinuationIndentWidth: 4
|
||||
DerivePointerAlignment: false
|
||||
IndentCaseLabels: true
|
||||
IndentPPDirectives: None
|
||||
IndentWidth: 4
|
||||
MaxEmptyLinesToKeep: 1
|
||||
PointerAlignment: Left
|
||||
ReflowComments: true
|
||||
SortIncludes: false
|
||||
SortUsingDeclarations: true
|
||||
SpaceAfterTemplateKeyword: false
|
||||
SpacesBeforeTrailingComments: 2
|
||||
TabWidth: 4
|
||||
UseTab: Never
|
|
@ -1,4 +1,3 @@
|
|||
__pycache__
|
||||
/target
|
||||
/nac3standalone/demo/linalg/target
|
||||
nix/windows/msys2
|
||||
|
|
|
@ -1,24 +1,24 @@
|
|||
# See https://pre-commit.com for more information
|
||||
# See https://pre-commit.com/hooks.html for more hooks
|
||||
|
||||
default_stages: [pre-commit]
|
||||
default_stages: [commit]
|
||||
|
||||
repos:
|
||||
- repo: local
|
||||
hooks:
|
||||
- id: nac3-cargo-fmt
|
||||
name: nac3 cargo format
|
||||
entry: nix
|
||||
entry: cargo
|
||||
language: system
|
||||
types: [file, rust]
|
||||
pass_filenames: false
|
||||
description: Runs cargo fmt on the codebase.
|
||||
args: [develop, -c, cargo, fmt, --all]
|
||||
args: [fmt]
|
||||
- id: nac3-cargo-clippy
|
||||
name: nac3 cargo clippy
|
||||
entry: nix
|
||||
entry: cargo
|
||||
language: system
|
||||
types: [file, rust]
|
||||
pass_filenames: false
|
||||
description: Runs cargo clippy on the codebase.
|
||||
args: [develop, -c, cargo, clippy, --tests]
|
||||
args: [clippy, --tests]
|
||||
|
|
File diff suppressed because it is too large
Load Diff
|
@ -4,7 +4,6 @@ members = [
|
|||
"nac3ast",
|
||||
"nac3parser",
|
||||
"nac3core",
|
||||
"nac3core/nac3core_derive",
|
||||
"nac3standalone",
|
||||
"nac3artiq",
|
||||
"runkernel",
|
||||
|
|
|
@ -2,11 +2,11 @@
|
|||
"nodes": {
|
||||
"nixpkgs": {
|
||||
"locked": {
|
||||
"lastModified": 1731319897,
|
||||
"narHash": "sha256-PbABj4tnbWFMfBp6OcUK5iGy1QY+/Z96ZcLpooIbuEI=",
|
||||
"lastModified": 1720418205,
|
||||
"narHash": "sha256-cPJoFPXU44GlhWg4pUk9oUPqurPlCFZ11ZQPk21GTPU=",
|
||||
"owner": "NixOS",
|
||||
"repo": "nixpkgs",
|
||||
"rev": "dc460ec76cbff0e66e269457d7b728432263166c",
|
||||
"rev": "655a58a72a6601292512670343087c2d75d859c1",
|
||||
"type": "github"
|
||||
},
|
||||
"original": {
|
||||
|
|
45
flake.nix
45
flake.nix
|
@ -6,7 +6,6 @@
|
|||
outputs = { self, nixpkgs }:
|
||||
let
|
||||
pkgs = import nixpkgs { system = "x86_64-linux"; };
|
||||
pkgs32 = import nixpkgs { system = "i686-linux"; };
|
||||
in rec {
|
||||
packages.x86_64-linux = rec {
|
||||
llvm-nac3 = pkgs.callPackage ./nix/llvm {};
|
||||
|
@ -14,24 +13,9 @@
|
|||
''
|
||||
mkdir -p $out/bin
|
||||
ln -s ${pkgs.llvmPackages_14.clang-unwrapped}/bin/clang $out/bin/clang-irrt
|
||||
ln -s ${pkgs.llvmPackages_14.clang}/bin/clang $out/bin/clang-irrt-test
|
||||
ln -s ${pkgs.llvmPackages_14.llvm.out}/bin/llvm-as $out/bin/llvm-as-irrt
|
||||
'';
|
||||
demo-linalg-stub = pkgs.rustPlatform.buildRustPackage {
|
||||
name = "demo-linalg-stub";
|
||||
src = ./nac3standalone/demo/linalg;
|
||||
cargoLock = {
|
||||
lockFile = ./nac3standalone/demo/linalg/Cargo.lock;
|
||||
};
|
||||
doCheck = false;
|
||||
};
|
||||
demo-linalg-stub32 = pkgs32.rustPlatform.buildRustPackage {
|
||||
name = "demo-linalg-stub32";
|
||||
src = ./nac3standalone/demo/linalg;
|
||||
cargoLock = {
|
||||
lockFile = ./nac3standalone/demo/linalg/Cargo.lock;
|
||||
};
|
||||
doCheck = false;
|
||||
};
|
||||
nac3artiq = pkgs.python3Packages.toPythonModule (
|
||||
pkgs.rustPlatform.buildRustPackage rec {
|
||||
name = "nac3artiq";
|
||||
|
@ -40,8 +24,9 @@
|
|||
cargoLock = {
|
||||
lockFile = ./Cargo.lock;
|
||||
};
|
||||
cargoTestFlags = [ "--features" "test" ];
|
||||
passthru.cargoLock = cargoLock;
|
||||
nativeBuildInputs = [ pkgs.python3 (pkgs.wrapClangMulti pkgs.llvmPackages_14.clang) llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
|
||||
nativeBuildInputs = [ pkgs.python3 pkgs.llvmPackages_14.clang llvm-tools-irrt pkgs.llvmPackages_14.llvm.out llvm-nac3 ];
|
||||
buildInputs = [ pkgs.python3 llvm-nac3 ];
|
||||
checkInputs = [ (pkgs.python3.withPackages(ps: [ ps.numpy ps.scipy ])) ];
|
||||
checkPhase =
|
||||
|
@ -49,9 +34,7 @@
|
|||
echo "Checking nac3standalone demos..."
|
||||
pushd nac3standalone/demo
|
||||
patchShebangs .
|
||||
export DEMO_LINALG_STUB=${demo-linalg-stub}/lib/liblinalg.a
|
||||
export DEMO_LINALG_STUB32=${demo-linalg-stub32}/lib/liblinalg.a
|
||||
./check_demos.sh -i686
|
||||
./check_demos.sh
|
||||
popd
|
||||
echo "Running Cargo tests..."
|
||||
cargoCheckHook
|
||||
|
@ -107,18 +90,18 @@
|
|||
(pkgs.fetchFromGitHub {
|
||||
owner = "m-labs";
|
||||
repo = "sipyco";
|
||||
rev = "094a6cd63ffa980ef63698920170e50dc9ba77fd";
|
||||
sha256 = "sha256-PPnAyDedUQ7Og/Cby9x5OT9wMkNGTP8GS53V6N/dk4w=";
|
||||
rev = "939f84f9b5eef7efbf7423c735d1834783b6140e";
|
||||
sha256 = "sha256-15Nun4EY35j+6SPZkjzZtyH/ncxLS60KuGJjFh5kSTc=";
|
||||
})
|
||||
(pkgs.fetchFromGitHub {
|
||||
owner = "m-labs";
|
||||
repo = "artiq";
|
||||
rev = "28c9de3e251daa89a8c9fd79d5ab64a3ec03bac6";
|
||||
sha256 = "sha256-vAvpbHc5B+1wtG8zqN7j9dQE1ON+i22v+uqA+tw6Gak=";
|
||||
rev = "923ca3377d42c815f979983134ec549dc39d3ca0";
|
||||
sha256 = "sha256-oJoEeNEeNFSUyh6jXG8Tzp6qHVikeHS0CzfE+mODPgw=";
|
||||
})
|
||||
];
|
||||
buildInputs = [
|
||||
(python3-mimalloc.withPackages(ps: [ ps.numpy ps.scipy ps.jsonschema ps.lmdb ps.platformdirs nac3artiq-instrumented ]))
|
||||
(python3-mimalloc.withPackages(ps: [ ps.numpy ps.scipy ps.jsonschema ps.lmdb nac3artiq-instrumented ]))
|
||||
pkgs.llvmPackages_14.llvm.out
|
||||
];
|
||||
phases = [ "buildPhase" "installPhase" ];
|
||||
|
@ -168,7 +151,7 @@
|
|||
buildInputs = with pkgs; [
|
||||
# build dependencies
|
||||
packages.x86_64-linux.llvm-nac3
|
||||
(pkgs.wrapClangMulti llvmPackages_14.clang) llvmPackages_14.llvm.out # for running nac3standalone demos
|
||||
llvmPackages_14.clang llvmPackages_14.llvm.out # for running nac3standalone demos
|
||||
packages.x86_64-linux.llvm-tools-irrt
|
||||
cargo
|
||||
rustc
|
||||
|
@ -180,12 +163,10 @@
|
|||
clippy
|
||||
pre-commit
|
||||
rustfmt
|
||||
rust-analyzer
|
||||
];
|
||||
shellHook =
|
||||
''
|
||||
export DEMO_LINALG_STUB=${packages.x86_64-linux.demo-linalg-stub}/lib/liblinalg.a
|
||||
export DEMO_LINALG_STUB32=${packages.x86_64-linux.demo-linalg-stub32}/lib/liblinalg.a
|
||||
'';
|
||||
# https://nixos.wiki/wiki/Rust#Shell.nix_example
|
||||
RUST_SRC_PATH = "${pkgs.rust.packages.stable.rustPlatform.rustLibSrc}";
|
||||
};
|
||||
devShells.x86_64-linux.msys2 = pkgs.mkShell {
|
||||
name = "nac3-dev-shell-msys2";
|
||||
|
|
|
@ -12,10 +12,15 @@ crate-type = ["cdylib"]
|
|||
itertools = "0.13"
|
||||
pyo3 = { version = "0.21", features = ["extension-module", "gil-refs"] }
|
||||
parking_lot = "0.12"
|
||||
tempfile = "3.13"
|
||||
tempfile = "3.10"
|
||||
nac3parser = { path = "../nac3parser" }
|
||||
nac3core = { path = "../nac3core" }
|
||||
nac3ld = { path = "../nac3ld" }
|
||||
|
||||
[dependencies.inkwell]
|
||||
version = "0.4"
|
||||
default-features = false
|
||||
features = ["llvm14-0", "target-x86", "target-arm", "target-riscv", "no-libffi-linking"]
|
||||
|
||||
[features]
|
||||
init-llvm-profile = []
|
||||
no-escape-analysis = ["nac3core/no-escape-analysis"]
|
||||
|
|
|
@ -1,24 +0,0 @@
|
|||
from min_artiq import *
|
||||
from numpy import int32
|
||||
|
||||
|
||||
@nac3
|
||||
class EmptyList:
|
||||
core: KernelInvariant[Core]
|
||||
|
||||
def __init__(self):
|
||||
self.core = Core()
|
||||
|
||||
@rpc
|
||||
def get_empty(self) -> list[int32]:
|
||||
return []
|
||||
|
||||
@kernel
|
||||
def run(self):
|
||||
a: list[int32] = self.get_empty()
|
||||
if a != []:
|
||||
raise ValueError
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
EmptyList().run()
|
|
@ -112,15 +112,10 @@ def extern(function):
|
|||
register_function(function)
|
||||
return function
|
||||
|
||||
|
||||
def rpc(arg=None, flags={}):
|
||||
"""Decorates a function or method to be executed on the host interpreter."""
|
||||
if arg is None:
|
||||
def inner_decorator(function):
|
||||
return rpc(function, flags)
|
||||
return inner_decorator
|
||||
register_function(arg)
|
||||
return arg
|
||||
def rpc(function):
|
||||
"""Decorates a function declaration defined by the core device runtime."""
|
||||
register_function(function)
|
||||
return function
|
||||
|
||||
def kernel(function_or_method):
|
||||
"""Decorates a function or method to be executed on the core device."""
|
||||
|
@ -206,7 +201,7 @@ 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__"):
|
||||
|
|
|
@ -1,26 +0,0 @@
|
|||
from min_artiq import *
|
||||
from numpy import ndarray, zeros as np_zeros
|
||||
|
||||
|
||||
@nac3
|
||||
class StrFail:
|
||||
core: KernelInvariant[Core]
|
||||
|
||||
def __init__(self):
|
||||
self.core = Core()
|
||||
|
||||
@kernel
|
||||
def hello(self, arg: str):
|
||||
pass
|
||||
|
||||
@kernel
|
||||
def consume_ndarray(self, arg: ndarray[str, 1]):
|
||||
pass
|
||||
|
||||
def run(self):
|
||||
self.hello("world")
|
||||
self.consume_ndarray(np_zeros([10], dtype=str))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
StrFail().run()
|
File diff suppressed because it is too large
Load Diff
|
@ -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,
|
||||
|
@ -10,65 +16,63 @@
|
|||
clippy::wildcard_imports
|
||||
)]
|
||||
|
||||
use std::{
|
||||
collections::{HashMap, HashSet},
|
||||
fs,
|
||||
io::Write,
|
||||
process::Command,
|
||||
rc::Rc,
|
||||
sync::Arc,
|
||||
};
|
||||
use std::collections::{HashMap, HashSet};
|
||||
use std::fs;
|
||||
use std::io::Write;
|
||||
use std::process::Command;
|
||||
use std::rc::Rc;
|
||||
use std::sync::Arc;
|
||||
|
||||
use itertools::Itertools;
|
||||
use parking_lot::{Mutex, RwLock};
|
||||
use pyo3::{
|
||||
create_exception, exceptions,
|
||||
prelude::*,
|
||||
types::{PyBytes, PyDict, PyNone, PySet},
|
||||
};
|
||||
use tempfile::{self, TempDir};
|
||||
|
||||
use nac3core::{
|
||||
codegen::{
|
||||
concrete_type::ConcreteTypeStore, gen_func_impl, irrt::load_irrt, CodeGenLLVMOptions,
|
||||
CodeGenTargetMachineOptions, CodeGenTask, CodeGenerator, WithCall, WorkerRegistry,
|
||||
},
|
||||
inkwell::{
|
||||
context::Context,
|
||||
use inkwell::{
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::{FlagBehavior, Linkage, Module},
|
||||
module::{Linkage, Module},
|
||||
passes::PassBuilderOptions,
|
||||
support::is_multithreaded,
|
||||
targets::*,
|
||||
OptimizationLevel,
|
||||
},
|
||||
nac3parser::{
|
||||
ast::{Constant, ExprKind, Located, Stmt, StmtKind, StrRef},
|
||||
};
|
||||
use itertools::Itertools;
|
||||
use nac3core::codegen::{gen_func_impl, CodeGenLLVMOptions, CodeGenTargetMachineOptions};
|
||||
use nac3core::toplevel::builtins::get_exn_constructor;
|
||||
use nac3core::typecheck::typedef::{TypeEnum, Unifier, VarMap};
|
||||
use nac3parser::{
|
||||
ast::{ExprKind, Stmt, StmtKind, StrRef},
|
||||
parser::parse_program,
|
||||
},
|
||||
};
|
||||
use pyo3::create_exception;
|
||||
use pyo3::prelude::*;
|
||||
use pyo3::{exceptions, types::PyBytes, types::PyDict, types::PySet};
|
||||
|
||||
use parking_lot::{Mutex, RwLock};
|
||||
|
||||
use nac3core::{
|
||||
codegen::irrt::load_irrt,
|
||||
codegen::{concrete_type::ConcreteTypeStore, CodeGenTask, WithCall, WorkerRegistry},
|
||||
symbol_resolver::SymbolResolver,
|
||||
toplevel::{
|
||||
builtins::get_exn_constructor,
|
||||
composer::{BuiltinFuncCreator, BuiltinFuncSpec, ComposerConfig, TopLevelComposer},
|
||||
composer::{ComposerConfig, TopLevelComposer},
|
||||
DefinitionId, GenCall, TopLevelDef,
|
||||
},
|
||||
typecheck::{
|
||||
type_inferencer::PrimitiveStore,
|
||||
typedef::{into_var_map, FunSignature, FuncArg, Type, TypeEnum, Unifier, VarMap},
|
||||
},
|
||||
typecheck::typedef::{FunSignature, FuncArg},
|
||||
typecheck::{type_inferencer::PrimitiveStore, typedef::Type},
|
||||
};
|
||||
|
||||
use nac3ld::Linker;
|
||||
|
||||
use codegen::{
|
||||
attributes_writeback, gen_core_log, gen_rtio_log, rpc_codegen_callback, ArtiqCodeGenerator,
|
||||
use tempfile::{self, TempDir};
|
||||
|
||||
use crate::codegen::attributes_writeback;
|
||||
use crate::{
|
||||
codegen::{rpc_codegen_callback, ArtiqCodeGenerator},
|
||||
symbol_resolver::{DeferredEvaluationStore, InnerResolver, PythonHelper, Resolver},
|
||||
};
|
||||
use symbol_resolver::{DeferredEvaluationStore, InnerResolver, PythonHelper, Resolver};
|
||||
use timeline::TimeFns;
|
||||
|
||||
mod codegen;
|
||||
mod symbol_resolver;
|
||||
mod timeline;
|
||||
|
||||
use timeline::TimeFns;
|
||||
|
||||
#[derive(PartialEq, Clone, Copy)]
|
||||
enum Isa {
|
||||
Host,
|
||||
|
@ -122,7 +126,7 @@ struct Nac3 {
|
|||
isa: Isa,
|
||||
time_fns: &'static (dyn TimeFns + Sync),
|
||||
primitive: PrimitiveStore,
|
||||
builtins: Vec<BuiltinFuncSpec>,
|
||||
builtins: Vec<(StrRef, FunSignature, Arc<GenCall>)>,
|
||||
pyid_to_def: Arc<RwLock<HashMap<u64, DefinitionId>>>,
|
||||
primitive_ids: PrimitivePythonId,
|
||||
working_directory: TempDir,
|
||||
|
@ -142,32 +146,14 @@ 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}")))?;
|
||||
|
||||
|
@ -207,8 +193,10 @@ impl Nac3 {
|
|||
body.retain(|stmt| {
|
||||
if let StmtKind::FunctionDef { ref decorator_list, .. } = stmt.node {
|
||||
decorator_list.iter().any(|decorator| {
|
||||
if let Some(id) = decorator_id_string(decorator) {
|
||||
id == "kernel" || id == "portable" || id == "rpc"
|
||||
if let ExprKind::Name { id, .. } = decorator.node {
|
||||
id.to_string() == "kernel"
|
||||
|| id.to_string() == "portable"
|
||||
|| id.to_string() == "rpc"
|
||||
} else {
|
||||
false
|
||||
}
|
||||
|
@ -221,8 +209,9 @@ impl Nac3 {
|
|||
}
|
||||
StmtKind::FunctionDef { ref decorator_list, .. } => {
|
||||
decorator_list.iter().any(|decorator| {
|
||||
if let Some(id) = decorator_id_string(decorator) {
|
||||
id == "extern" || id == "kernel" || id == "portable" || id == "rpc"
|
||||
if let ExprKind::Name { id, .. } = decorator.node {
|
||||
let id = id.to_string();
|
||||
id == "extern" || id == "portable" || id == "kernel" || id == "rpc"
|
||||
} else {
|
||||
false
|
||||
}
|
||||
|
@ -275,7 +264,7 @@ impl Nac3 {
|
|||
arg_names.len(),
|
||||
));
|
||||
}
|
||||
for (i, FuncArg { ty, default_value, name, .. }) in args.iter().enumerate() {
|
||||
for (i, FuncArg { ty, default_value, name }) in args.iter().enumerate() {
|
||||
let in_name = match arg_names.get(i) {
|
||||
Some(n) => n,
|
||||
None if default_value.is_none() => {
|
||||
|
@ -311,64 +300,6 @@ impl Nac3 {
|
|||
None
|
||||
}
|
||||
|
||||
/// Returns a [`Vec`] of builtins that needs to be initialized during method compilation time.
|
||||
fn get_lateinit_builtins() -> Vec<Box<BuiltinFuncCreator>> {
|
||||
vec![
|
||||
Box::new(|primitives, unifier| {
|
||||
let arg_ty = unifier.get_fresh_var(Some("T".into()), None);
|
||||
|
||||
(
|
||||
"core_log".into(),
|
||||
FunSignature {
|
||||
args: vec![FuncArg {
|
||||
name: "arg".into(),
|
||||
ty: arg_ty.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: primitives.none,
|
||||
vars: into_var_map([arg_ty]),
|
||||
},
|
||||
Arc::new(GenCall::new(Box::new(move |ctx, obj, fun, args, generator| {
|
||||
gen_core_log(ctx, &obj, fun, &args, generator)?;
|
||||
|
||||
Ok(None)
|
||||
}))),
|
||||
)
|
||||
}),
|
||||
Box::new(|primitives, unifier| {
|
||||
let arg_ty = unifier.get_fresh_var(Some("T".into()), None);
|
||||
|
||||
(
|
||||
"rtio_log".into(),
|
||||
FunSignature {
|
||||
args: vec![
|
||||
FuncArg {
|
||||
name: "channel".into(),
|
||||
ty: primitives.str,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg {
|
||||
name: "arg".into(),
|
||||
ty: arg_ty.ty,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
],
|
||||
ret: primitives.none,
|
||||
vars: into_var_map([arg_ty]),
|
||||
},
|
||||
Arc::new(GenCall::new(Box::new(move |ctx, obj, fun, args, generator| {
|
||||
gen_rtio_log(ctx, &obj, fun, &args, generator)?;
|
||||
|
||||
Ok(None)
|
||||
}))),
|
||||
)
|
||||
}),
|
||||
]
|
||||
}
|
||||
|
||||
fn compile_method<T>(
|
||||
&self,
|
||||
obj: &PyAny,
|
||||
|
@ -381,7 +312,6 @@ impl Nac3 {
|
|||
let size_t = self.isa.get_size_type();
|
||||
let (mut composer, mut builtins_def, mut builtins_ty) = TopLevelComposer::new(
|
||||
self.builtins.clone(),
|
||||
Self::get_lateinit_builtins(),
|
||||
ComposerConfig { kernel_ann: Some("Kernel"), kernel_invariant_ann: "KernelInvariant" },
|
||||
size_t,
|
||||
);
|
||||
|
@ -458,6 +388,7 @@ impl Nac3 {
|
|||
pyid_to_type: pyid_to_type.clone(),
|
||||
primitive_ids: self.primitive_ids.clone(),
|
||||
global_value_ids: global_value_ids.clone(),
|
||||
class_names: Mutex::default(),
|
||||
name_to_pyid: name_to_pyid.clone(),
|
||||
module: module.clone(),
|
||||
id_to_pyval: RwLock::default(),
|
||||
|
@ -488,25 +419,9 @@ impl Nac3 {
|
|||
|
||||
match &stmt.node {
|
||||
StmtKind::FunctionDef { decorator_list, .. } => {
|
||||
if decorator_list
|
||||
.iter()
|
||||
.any(|decorator| decorator_id_string(decorator) == Some("rpc".to_string()))
|
||||
{
|
||||
store_fun
|
||||
.call1(
|
||||
py,
|
||||
(
|
||||
def_id.0.into_py(py),
|
||||
module.getattr(py, name.to_string().as_str()).unwrap(),
|
||||
),
|
||||
)
|
||||
.unwrap();
|
||||
let is_async = decorator_list.iter().any(|decorator| {
|
||||
decorator_get_flags(decorator)
|
||||
.iter()
|
||||
.any(|constant| *constant == Constant::Str("async".into()))
|
||||
});
|
||||
rpc_ids.push((None, def_id, is_async));
|
||||
if decorator_list.iter().any(|decorator| matches!(decorator.node, ExprKind::Name { id, .. } if id == "rpc".into())) {
|
||||
store_fun.call1(py, (def_id.0.into_py(py), module.getattr(py, name.to_string().as_str()).unwrap())).unwrap();
|
||||
rpc_ids.push((None, def_id));
|
||||
}
|
||||
}
|
||||
StmtKind::ClassDef { name, body, .. } => {
|
||||
|
@ -514,26 +429,19 @@ impl Nac3 {
|
|||
let class_obj = module.getattr(py, class_name.as_str()).unwrap();
|
||||
for stmt in body {
|
||||
if let StmtKind::FunctionDef { name, decorator_list, .. } = &stmt.node {
|
||||
if decorator_list.iter().any(|decorator| {
|
||||
decorator_id_string(decorator) == Some("rpc".to_string())
|
||||
}) {
|
||||
let is_async = decorator_list.iter().any(|decorator| {
|
||||
decorator_get_flags(decorator)
|
||||
.iter()
|
||||
.any(|constant| *constant == Constant::Str("async".into()))
|
||||
});
|
||||
if decorator_list.iter().any(|decorator| matches!(decorator.node, ExprKind::Name { id, .. } if id == "rpc".into())) {
|
||||
if name == &"__init__".into() {
|
||||
return Err(CompileError::new_err(format!(
|
||||
"compilation failed\n----------\nThe constructor of class {} should not be decorated with rpc decorator (at {})",
|
||||
class_name, stmt.location
|
||||
)));
|
||||
}
|
||||
rpc_ids.push((Some((class_obj.clone(), *name)), def_id, is_async));
|
||||
rpc_ids.push((Some((class_obj.clone(), *name)), def_id));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
_ => (),
|
||||
_ => ()
|
||||
}
|
||||
|
||||
let id = *name_to_pyid.get(&name).unwrap();
|
||||
|
@ -572,6 +480,7 @@ impl Nac3 {
|
|||
pyid_to_type: pyid_to_type.clone(),
|
||||
primitive_ids: self.primitive_ids.clone(),
|
||||
global_value_ids: global_value_ids.clone(),
|
||||
class_names: Mutex::default(),
|
||||
id_to_pyval: RwLock::default(),
|
||||
id_to_primitive: RwLock::default(),
|
||||
field_to_val: RwLock::default(),
|
||||
|
@ -588,10 +497,6 @@ impl Nac3 {
|
|||
.register_top_level(synthesized.pop().unwrap(), Some(resolver.clone()), "", false)
|
||||
.unwrap();
|
||||
|
||||
// Process IRRT
|
||||
let context = Context::create();
|
||||
let irrt = load_irrt(&context, resolver.as_ref());
|
||||
|
||||
let fun_signature =
|
||||
FunSignature { args: vec![], ret: self.primitive.none, vars: VarMap::new() };
|
||||
let mut store = ConcreteTypeStore::new();
|
||||
|
@ -629,12 +534,13 @@ impl Nac3 {
|
|||
let top_level = Arc::new(composer.make_top_level_context());
|
||||
|
||||
{
|
||||
let rpc_codegen = rpc_codegen_callback();
|
||||
let defs = top_level.definitions.read();
|
||||
for (class_data, id, is_async) in &rpc_ids {
|
||||
for (class_data, id) in &rpc_ids {
|
||||
let mut def = defs[id.0].write();
|
||||
match &mut *def {
|
||||
TopLevelDef::Function { codegen_callback, .. } => {
|
||||
*codegen_callback = Some(rpc_codegen_callback(*is_async));
|
||||
*codegen_callback = Some(rpc_codegen.clone());
|
||||
}
|
||||
TopLevelDef::Class { methods, .. } => {
|
||||
let (class_def, method_name) = class_data.as_ref().unwrap();
|
||||
|
@ -645,7 +551,7 @@ impl Nac3 {
|
|||
if let TopLevelDef::Function { codegen_callback, .. } =
|
||||
&mut *defs[id.0].write()
|
||||
{
|
||||
*codegen_callback = Some(rpc_codegen_callback(*is_async));
|
||||
*codegen_callback = Some(rpc_codegen.clone());
|
||||
store_fun
|
||||
.call1(
|
||||
py,
|
||||
|
@ -660,11 +566,6 @@ impl Nac3 {
|
|||
}
|
||||
}
|
||||
}
|
||||
TopLevelDef::Variable { .. } => {
|
||||
return Err(CompileError::new_err(String::from(
|
||||
"Unsupported @rpc annotation on global variable",
|
||||
)))
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
@ -685,12 +586,33 @@ 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,
|
||||
};
|
||||
|
||||
|
@ -703,9 +625,7 @@ impl Nac3 {
|
|||
let buffer = buffer.as_slice().into();
|
||||
membuffer.lock().push(buffer);
|
||||
})));
|
||||
let size_t = context
|
||||
.ptr_sized_int_type(&self.get_llvm_target_machine().get_target_data(), None)
|
||||
.get_bit_width();
|
||||
let size_t = if self.isa == Isa::Host { 64 } else { 32 };
|
||||
let num_threads = if is_multithreaded() { 4 } else { 1 };
|
||||
let thread_names: Vec<String> = (0..num_threads).map(|_| "main".to_string()).collect();
|
||||
let threads: Vec<_> = thread_names
|
||||
|
@ -714,27 +634,16 @@ 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 context = Context::create();
|
||||
let module = context.create_module("main");
|
||||
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 mut generator =
|
||||
ArtiqCodeGenerator::new("attributes_writeback".to_string(), size_t, self.time_fns);
|
||||
let context = inkwell::context::Context::create();
|
||||
let module = context.create_module("attributes_writeback");
|
||||
let builder = context.create_builder();
|
||||
let (_, module, _) = gen_func_impl(
|
||||
&context,
|
||||
|
@ -742,27 +651,9 @@ 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();
|
||||
|
@ -771,24 +662,37 @@ impl Nac3 {
|
|||
membuffer.lock().push(buffer);
|
||||
});
|
||||
|
||||
embedding_map.setattr("expects_return", has_return).unwrap();
|
||||
|
||||
// Link all modules into `main`.
|
||||
let context = inkwell::context::Context::create();
|
||||
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()))?;
|
||||
}
|
||||
main.link_in_module(irrt).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(load_irrt(&context))
|
||||
.map_err(|err| CompileError::new_err(err.to_string()))?;
|
||||
|
||||
let mut function_iter = main.get_first_function();
|
||||
while let Some(func) = function_iter {
|
||||
|
@ -874,41 +778,6 @@ impl Nac3 {
|
|||
}
|
||||
}
|
||||
|
||||
/// Retrieves the Name.id from a decorator, supports decorators with arguments.
|
||||
fn decorator_id_string(decorator: &Located<ExprKind>) -> Option<String> {
|
||||
if let ExprKind::Name { id, .. } = decorator.node {
|
||||
// Bare decorator
|
||||
return Some(id.to_string());
|
||||
} else if let ExprKind::Call { func, .. } = &decorator.node {
|
||||
// Decorators that are calls (e.g. "@rpc()") have Call for the node,
|
||||
// need to extract the id from within.
|
||||
if let ExprKind::Name { id, .. } = func.node {
|
||||
return Some(id.to_string());
|
||||
}
|
||||
}
|
||||
None
|
||||
}
|
||||
|
||||
/// Retrieves flags from a decorator, if any.
|
||||
fn decorator_get_flags(decorator: &Located<ExprKind>) -> Vec<Constant> {
|
||||
let mut flags = vec![];
|
||||
if let ExprKind::Call { keywords, .. } = &decorator.node {
|
||||
for keyword in keywords {
|
||||
if keyword.node.arg != Some("flags".into()) {
|
||||
continue;
|
||||
}
|
||||
if let ExprKind::Set { elts } = &keyword.node.value.node {
|
||||
for elt in elts {
|
||||
if let ExprKind::Constant { value, .. } = &elt.node {
|
||||
flags.push(value.clone());
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
flags
|
||||
}
|
||||
|
||||
fn link_with_lld(elf_filename: String, obj_filename: String) -> PyResult<()> {
|
||||
let linker_args = vec![
|
||||
"-shared".to_string(),
|
||||
|
@ -978,7 +847,7 @@ impl Nac3 {
|
|||
Isa::RiscV32IMA => &timeline::NOW_PINNING_TIME_FNS,
|
||||
Isa::CortexA9 | Isa::Host => &timeline::EXTERN_TIME_FNS,
|
||||
};
|
||||
let (primitive, _) = TopLevelComposer::make_primitives(isa.get_size_type());
|
||||
let primitive: PrimitiveStore = TopLevelComposer::make_primitives(isa.get_size_type()).0;
|
||||
let builtins = vec![
|
||||
(
|
||||
"now_mu".into(),
|
||||
|
@ -994,7 +863,6 @@ impl Nac3 {
|
|||
name: "t".into(),
|
||||
ty: primitive.int64,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: primitive.none,
|
||||
vars: VarMap::new(),
|
||||
|
@ -1014,7 +882,6 @@ impl Nac3 {
|
|||
name: "dt".into(),
|
||||
ty: primitive.int64,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: primitive.none,
|
||||
vars: VarMap::new(),
|
||||
|
@ -1090,12 +957,7 @@ 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();
|
||||
|
@ -1105,22 +967,14 @@ 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))
|
||||
})?;
|
||||
|
||||
|
|
|
@ -1,30 +1,14 @@
|
|||
use std::{
|
||||
collections::{HashMap, HashSet},
|
||||
sync::{
|
||||
atomic::{AtomicBool, Ordering::Relaxed},
|
||||
Arc,
|
||||
},
|
||||
};
|
||||
|
||||
use itertools::Itertools;
|
||||
use parking_lot::RwLock;
|
||||
use pyo3::{
|
||||
types::{PyDict, PyTuple},
|
||||
PyAny, PyObject, PyResult, Python,
|
||||
};
|
||||
|
||||
use nac3core::{
|
||||
codegen::{
|
||||
types::{NDArrayType, ProxyType},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
inkwell::{
|
||||
module::Linkage,
|
||||
use inkwell::{
|
||||
types::{BasicType, BasicTypeEnum},
|
||||
values::BasicValueEnum,
|
||||
AddressSpace,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
use nac3core::{
|
||||
codegen::{
|
||||
classes::{NDArrayType, ProxyType},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
nac3parser::ast::{self, StrRef},
|
||||
symbol_resolver::{StaticValue, SymbolResolver, SymbolValue, ValueEnum},
|
||||
toplevel::{
|
||||
helper::PrimDef,
|
||||
|
@ -36,8 +20,21 @@ use nac3core::{
|
|||
typedef::{into_var_map, iter_type_vars, Type, TypeEnum, TypeVar, Unifier, VarMap},
|
||||
},
|
||||
};
|
||||
use nac3parser::ast::{self, StrRef};
|
||||
use parking_lot::{Mutex, RwLock};
|
||||
use pyo3::{
|
||||
types::{PyDict, PyTuple},
|
||||
PyAny, PyObject, PyResult, Python,
|
||||
};
|
||||
use std::{
|
||||
collections::{HashMap, HashSet},
|
||||
sync::{
|
||||
atomic::{AtomicBool, Ordering::Relaxed},
|
||||
Arc,
|
||||
},
|
||||
};
|
||||
|
||||
use super::PrimitivePythonId;
|
||||
use crate::PrimitivePythonId;
|
||||
|
||||
pub enum PrimitiveValue {
|
||||
I32(i32),
|
||||
|
@ -82,6 +79,7 @@ pub struct InnerResolver {
|
|||
pub id_to_primitive: RwLock<HashMap<u64, PrimitiveValue>>,
|
||||
pub field_to_val: RwLock<HashMap<ResolverField, Option<PyFieldHandle>>>,
|
||||
pub global_value_ids: Arc<RwLock<HashMap<u64, PyObject>>>,
|
||||
pub class_names: Mutex<HashMap<StrRef, Type>>,
|
||||
pub pyid_to_def: Arc<RwLock<HashMap<u64, DefinitionId>>>,
|
||||
pub pyid_to_type: Arc<RwLock<HashMap<u64, Type>>>,
|
||||
pub primitive_ids: PrimitivePythonId,
|
||||
|
@ -135,8 +133,6 @@ impl StaticValue for PythonValue {
|
|||
format!("{}_const", self.id).as_str(),
|
||||
);
|
||||
global.set_constant(true);
|
||||
// Set linkage of global to private to avoid name collisions
|
||||
global.set_linkage(Linkage::Private);
|
||||
global.set_initializer(&ctx.ctx.const_struct(
|
||||
&[ctx.ctx.i32_type().const_int(u64::from(id), false).into()],
|
||||
false,
|
||||
|
@ -167,7 +163,7 @@ impl StaticValue for PythonValue {
|
|||
PrimitiveValue::Bool(val) => {
|
||||
ctx.ctx.i8_type().const_int(u64::from(*val), false).into()
|
||||
}
|
||||
PrimitiveValue::Str(val) => ctx.gen_string(generator, val).into(),
|
||||
PrimitiveValue::Str(val) => ctx.ctx.const_string(val.as_bytes(), true).into(),
|
||||
});
|
||||
}
|
||||
if let Some(global) = ctx.module.get_global(&self.id.to_string()) {
|
||||
|
@ -355,7 +351,7 @@ impl InnerResolver {
|
|||
Ok(Ok((ndarray, false)))
|
||||
} else if ty_id == self.primitive_ids.tuple {
|
||||
// do not handle type var param and concrete check here
|
||||
Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: vec![], is_vararg_ctx: false }), false)))
|
||||
Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: vec![] }), false)))
|
||||
} else if ty_id == self.primitive_ids.option {
|
||||
Ok(Ok((primitives.option, false)))
|
||||
} else if ty_id == self.primitive_ids.none {
|
||||
|
@ -559,10 +555,7 @@ impl InnerResolver {
|
|||
Err(err) => return Ok(Err(err)),
|
||||
_ => return Ok(Err("tuple type needs at least 1 type parameters".to_string()))
|
||||
};
|
||||
Ok(Ok((
|
||||
unifier.add_ty(TypeEnum::TTuple { ty: args, is_vararg_ctx: false }),
|
||||
true,
|
||||
)))
|
||||
Ok(Ok((unifier.add_ty(TypeEnum::TTuple { ty: args }), true)))
|
||||
}
|
||||
TypeEnum::TObj { params, obj_id, .. } => {
|
||||
let subst = {
|
||||
|
@ -804,9 +797,7 @@ impl InnerResolver {
|
|||
.map(|elem| self.get_obj_type(py, elem, unifier, defs, primitives))
|
||||
.collect();
|
||||
let types = types?;
|
||||
Ok(types.map(|types| {
|
||||
unifier.add_ty(TypeEnum::TTuple { ty: types, is_vararg_ctx: false })
|
||||
}))
|
||||
Ok(types.map(|types| unifier.add_ty(TypeEnum::TTuple { ty: types })))
|
||||
}
|
||||
// special handling for option type since its class member layout in python side
|
||||
// is special and cannot be mapped directly to a nac3 type as below
|
||||
|
@ -981,7 +972,7 @@ impl InnerResolver {
|
|||
} else if ty_id == self.primitive_ids.string || ty_id == self.primitive_ids.np_str_ {
|
||||
let val: String = obj.extract().unwrap();
|
||||
self.id_to_primitive.write().insert(id, PrimitiveValue::Str(val.clone()));
|
||||
Ok(Some(ctx.gen_string(generator, val).into()))
|
||||
Ok(Some(ctx.ctx.const_string(val.as_bytes(), true).into()))
|
||||
} else if ty_id == self.primitive_ids.float || ty_id == self.primitive_ids.float64 {
|
||||
let val: f64 = obj.extract().unwrap();
|
||||
self.id_to_primitive.write().insert(id, PrimitiveValue::F64(val));
|
||||
|
@ -1000,15 +991,8 @@ impl InnerResolver {
|
|||
}
|
||||
_ => unreachable!("must be list"),
|
||||
};
|
||||
let ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
let size_t = generator.get_size_type(ctx.ctx);
|
||||
let ty = if len == 0
|
||||
&& matches!(&*ctx.unifier.get_ty_immutable(elem_ty), TypeEnum::TVar { .. })
|
||||
{
|
||||
// The default type for zero-length lists of unknown element type is size_t
|
||||
size_t.into()
|
||||
} else {
|
||||
ctx.get_llvm_type(generator, elem_ty)
|
||||
};
|
||||
let arr_ty = ctx
|
||||
.ctx
|
||||
.struct_type(&[ty.ptr_type(AddressSpace::default()).into(), size_t.into()], false);
|
||||
|
@ -1096,7 +1080,7 @@ impl InnerResolver {
|
|||
if self.global_value_ids.read().contains_key(&id) {
|
||||
let global = ctx.module.get_global(&id_str).unwrap_or_else(|| {
|
||||
ctx.module.add_global(
|
||||
ndarray_llvm_ty.as_base_type().get_element_type().into_struct_type(),
|
||||
ndarray_llvm_ty.as_underlying_type(),
|
||||
Some(AddressSpace::default()),
|
||||
&id_str,
|
||||
)
|
||||
|
@ -1190,11 +1174,7 @@ impl InnerResolver {
|
|||
data_global.set_initializer(&data);
|
||||
|
||||
// create a global for the ndarray object and initialize it
|
||||
let value = ndarray_llvm_ty
|
||||
.as_base_type()
|
||||
.get_element_type()
|
||||
.into_struct_type()
|
||||
.const_named_struct(&[
|
||||
let value = ndarray_llvm_ty.as_underlying_type().const_named_struct(&[
|
||||
llvm_usize.const_int(ndarray_ndims, false).into(),
|
||||
shape_global
|
||||
.as_pointer_value()
|
||||
|
@ -1207,7 +1187,7 @@ impl InnerResolver {
|
|||
]);
|
||||
|
||||
let ndarray = ctx.module.add_global(
|
||||
ndarray_llvm_ty.as_base_type().get_element_type().into_struct_type(),
|
||||
ndarray_llvm_ty.as_underlying_type(),
|
||||
Some(AddressSpace::default()),
|
||||
&id_str,
|
||||
);
|
||||
|
@ -1216,9 +1196,7 @@ impl InnerResolver {
|
|||
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 {
|
||||
unreachable!()
|
||||
};
|
||||
let TypeEnum::TTuple { ty } = expected_ty_enum.as_ref() else { unreachable!() };
|
||||
|
||||
let tup_tys = ty.iter();
|
||||
let elements: &PyTuple = obj.downcast()?;
|
||||
|
@ -1474,7 +1452,6 @@ impl SymbolResolver for Resolver {
|
|||
&self,
|
||||
id: StrRef,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
_: &mut dyn CodeGenerator,
|
||||
) -> Option<ValueEnum<'ctx>> {
|
||||
let sym_value = {
|
||||
let id_to_val = self.0.id_to_pyval.read();
|
||||
|
|
|
@ -1,12 +1,9 @@
|
|||
use itertools::Either;
|
||||
|
||||
use nac3core::{
|
||||
codegen::CodeGenContext,
|
||||
inkwell::{
|
||||
use inkwell::{
|
||||
values::{BasicValueEnum, CallSiteValue},
|
||||
AddressSpace, AtomicOrdering,
|
||||
},
|
||||
};
|
||||
use itertools::Either;
|
||||
use nac3core::codegen::CodeGenContext;
|
||||
|
||||
/// Functions for manipulating the timeline.
|
||||
pub trait TimeFns {
|
||||
|
@ -34,7 +31,7 @@ impl TimeFns for NowPinningTimeFns64 {
|
|||
.unwrap_or_else(|| ctx.module.add_global(i64_type, None, "now"));
|
||||
let now_hiptr = ctx
|
||||
.builder
|
||||
.build_bit_cast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.build_bitcast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap();
|
||||
|
||||
|
@ -83,7 +80,7 @@ impl TimeFns for NowPinningTimeFns64 {
|
|||
.unwrap_or_else(|| ctx.module.add_global(i64_type, None, "now"));
|
||||
let now_hiptr = ctx
|
||||
.builder
|
||||
.build_bit_cast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.build_bitcast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap();
|
||||
|
||||
|
@ -112,7 +109,7 @@ impl TimeFns for NowPinningTimeFns64 {
|
|||
.unwrap_or_else(|| ctx.module.add_global(i64_type, None, "now"));
|
||||
let now_hiptr = ctx
|
||||
.builder
|
||||
.build_bit_cast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.build_bitcast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap();
|
||||
|
||||
|
@ -210,7 +207,7 @@ impl TimeFns for NowPinningTimeFns {
|
|||
.unwrap_or_else(|| ctx.module.add_global(i64_type, None, "now"));
|
||||
let now_hiptr = ctx
|
||||
.builder
|
||||
.build_bit_cast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.build_bitcast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap();
|
||||
|
||||
|
@ -261,7 +258,7 @@ impl TimeFns for NowPinningTimeFns {
|
|||
let time_lo = ctx.builder.build_int_truncate(time, i32_type, "time.lo").unwrap();
|
||||
let now_hiptr = ctx
|
||||
.builder
|
||||
.build_bit_cast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.build_bitcast(now, i32_type.ptr_type(AddressSpace::default()), "now.hi.addr")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap();
|
||||
|
||||
|
|
|
@ -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")]
|
||||
|
|
|
@ -1,29 +1,26 @@
|
|||
[features]
|
||||
test = []
|
||||
|
||||
[package]
|
||||
name = "nac3core"
|
||||
version = "0.1.0"
|
||||
authors = ["M-Labs"]
|
||||
edition = "2021"
|
||||
|
||||
[features]
|
||||
default = ["derive"]
|
||||
derive = ["dep:nac3core_derive"]
|
||||
no-escape-analysis = []
|
||||
|
||||
[dependencies]
|
||||
itertools = "0.13"
|
||||
crossbeam = "0.8"
|
||||
indexmap = "2.6"
|
||||
indexmap = "2.2"
|
||||
parking_lot = "0.12"
|
||||
rayon = "1.10"
|
||||
nac3core_derive = { path = "nac3core_derive", optional = true }
|
||||
rayon = "1.8"
|
||||
nac3parser = { path = "../nac3parser" }
|
||||
strum = "0.26"
|
||||
strum_macros = "0.26"
|
||||
strum = "0.26.2"
|
||||
strum_macros = "0.26.4"
|
||||
|
||||
[dependencies.inkwell]
|
||||
version = "0.5"
|
||||
version = "0.4"
|
||||
default-features = false
|
||||
features = ["llvm14-0-prefer-dynamic", "target-x86", "target-arm", "target-riscv", "no-libffi-linking"]
|
||||
features = ["llvm14-0", "target-x86", "target-arm", "target-riscv", "no-libffi-linking"]
|
||||
|
||||
[dev-dependencies]
|
||||
test-case = "1.2.0"
|
||||
|
|
|
@ -1,63 +1,68 @@
|
|||
use regex::Regex;
|
||||
use std::{
|
||||
env,
|
||||
fs::File,
|
||||
io::Write,
|
||||
path::Path,
|
||||
path::{Path, PathBuf},
|
||||
process::{Command, Stdio},
|
||||
};
|
||||
|
||||
use regex::Regex;
|
||||
const CMD_IRRT_CLANG: &str = "clang-irrt";
|
||||
const CMD_IRRT_CLANG_TEST: &str = "clang-irrt-test";
|
||||
const CMD_IRRT_LLVM_AS: &str = "llvm-as-irrt";
|
||||
|
||||
fn main() {
|
||||
let out_dir = env::var("OUT_DIR").unwrap();
|
||||
let out_dir = Path::new(&out_dir);
|
||||
let irrt_dir = Path::new("irrt");
|
||||
fn get_out_dir() -> PathBuf {
|
||||
PathBuf::from(env::var("OUT_DIR").unwrap())
|
||||
}
|
||||
|
||||
let irrt_cpp_path = irrt_dir.join("irrt.cpp");
|
||||
fn get_irrt_dir() -> &'static Path {
|
||||
Path::new("irrt")
|
||||
}
|
||||
|
||||
/// Compile `irrt.cpp` for use in `src/codegen`
|
||||
fn compile_irrt_cpp() {
|
||||
let out_dir = get_out_dir();
|
||||
let irrt_dir = get_irrt_dir();
|
||||
|
||||
/*
|
||||
* HACK: Sadly, clang doesn't let us emit generic LLVM bitcode.
|
||||
* Compiling for WASM32 and filtering the output with regex is the closest we can get.
|
||||
*/
|
||||
let mut flags: Vec<&str> = vec![
|
||||
let irrt_cpp_path = irrt_dir.join("irrt.cpp");
|
||||
let flags: &[&str] = &[
|
||||
"--target=wasm32",
|
||||
"-x",
|
||||
"c++",
|
||||
"-std=c++20",
|
||||
"-fno-discard-value-names",
|
||||
"-fno-exceptions",
|
||||
"-fno-rtti",
|
||||
match env::var("PROFILE").as_deref() {
|
||||
Ok("debug") => "-O0",
|
||||
Ok("release") => "-O3",
|
||||
flavor => panic!("Unknown or missing build flavor {flavor:?}"),
|
||||
},
|
||||
"-emit-llvm",
|
||||
"-S",
|
||||
"-Wall",
|
||||
"-Wextra",
|
||||
"-o",
|
||||
"-",
|
||||
"-Werror=return-type",
|
||||
"-I",
|
||||
irrt_dir.to_str().unwrap(),
|
||||
"-o",
|
||||
"-",
|
||||
irrt_cpp_path.to_str().unwrap(),
|
||||
];
|
||||
|
||||
match env::var("PROFILE").as_deref() {
|
||||
Ok("debug") => {
|
||||
flags.push("-O0");
|
||||
flags.push("-DIRRT_DEBUG_ASSERT");
|
||||
}
|
||||
Ok("release") => {
|
||||
flags.push("-O3");
|
||||
}
|
||||
flavor => panic!("Unknown or missing build flavor {flavor:?}"),
|
||||
}
|
||||
|
||||
// Tell Cargo to rerun if any file under `irrt_dir` (recursive) changes
|
||||
println!("cargo:rerun-if-changed={}", irrt_dir.to_str().unwrap());
|
||||
|
||||
// Compile IRRT and capture the LLVM IR output
|
||||
let output = Command::new("clang-irrt")
|
||||
let output = Command::new(CMD_IRRT_CLANG)
|
||||
.args(flags)
|
||||
.output()
|
||||
.inspect(|o| {
|
||||
.map(|o| {
|
||||
assert!(o.status.success(), "{}", std::str::from_utf8(&o.stderr).unwrap());
|
||||
o
|
||||
})
|
||||
.unwrap();
|
||||
|
||||
|
@ -98,7 +103,9 @@ fn main() {
|
|||
file.write_all(filtered_output.as_bytes()).unwrap();
|
||||
}
|
||||
|
||||
let mut llvm_as = Command::new("llvm-as-irrt")
|
||||
// Assemble the emitted and filtered IR to .bc
|
||||
// That .bc will be integrated into nac3core's codegen
|
||||
let mut llvm_as = Command::new(CMD_IRRT_LLVM_AS)
|
||||
.stdin(Stdio::piped())
|
||||
.arg("-o")
|
||||
.arg(out_dir.join("irrt.bc"))
|
||||
|
@ -107,3 +114,50 @@ fn main() {
|
|||
llvm_as.stdin.as_mut().unwrap().write_all(filtered_output.as_bytes()).unwrap();
|
||||
assert!(llvm_as.wait().unwrap().success());
|
||||
}
|
||||
|
||||
/// Compile `irrt_test.cpp` for testing
|
||||
fn compile_irrt_test_cpp() {
|
||||
let out_dir = get_out_dir();
|
||||
let irrt_dir = get_irrt_dir();
|
||||
|
||||
let exe_path = out_dir.join("irrt_test.out"); // Output path of the compiled test executable
|
||||
let irrt_test_cpp_path = irrt_dir.join("irrt_test.cpp");
|
||||
let flags: &[&str] = &[
|
||||
irrt_test_cpp_path.to_str().unwrap(),
|
||||
"-x",
|
||||
"c++",
|
||||
"-I",
|
||||
irrt_dir.to_str().unwrap(),
|
||||
"-g",
|
||||
"-fno-discard-value-names",
|
||||
"-O0",
|
||||
"-Wall",
|
||||
"-Wextra",
|
||||
"-Werror=return-type",
|
||||
"-lm", // for `tgamma()`, `lgamma()`
|
||||
"-I",
|
||||
irrt_dir.to_str().unwrap(),
|
||||
"-o",
|
||||
exe_path.to_str().unwrap(),
|
||||
];
|
||||
|
||||
Command::new(CMD_IRRT_CLANG_TEST)
|
||||
.args(flags)
|
||||
.output()
|
||||
.map(|o| {
|
||||
assert!(o.status.success(), "{}", std::str::from_utf8(&o.stderr).unwrap());
|
||||
o
|
||||
})
|
||||
.unwrap();
|
||||
println!("cargo:rerun-if-changed={}", irrt_dir.to_str().unwrap());
|
||||
}
|
||||
|
||||
fn main() {
|
||||
compile_irrt_cpp();
|
||||
|
||||
// https://github.com/rust-lang/cargo/issues/2549
|
||||
// `cargo test -F test` to also build `irrt_test.cpp
|
||||
if cfg!(feature = "test") {
|
||||
compile_irrt_test_cpp();
|
||||
}
|
||||
}
|
||||
|
|
|
@ -1,5 +1,9 @@
|
|||
#include "irrt/exception.hpp"
|
||||
#include "irrt/list.hpp"
|
||||
#include "irrt/math.hpp"
|
||||
#include "irrt/ndarray.hpp"
|
||||
#include "irrt/slice.hpp"
|
||||
#define IRRT_DEFINE_TYPEDEF_INTS
|
||||
#include <irrt_everything.hpp>
|
||||
|
||||
/*
|
||||
All IRRT implementations.
|
||||
|
||||
We don't have any pre-compiled objects, so we are writing all implementations in headers and
|
||||
concatenate them with `#include` into one massive source file that contains all the IRRT stuff.
|
||||
*/
|
|
@ -0,0 +1,402 @@
|
|||
#pragma once
|
||||
|
||||
#include <irrt/utils.hpp>
|
||||
#include <irrt/int_defs.hpp>
|
||||
|
||||
// NDArray indices are always `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;
|
||||
|
||||
namespace {
|
||||
// adapted from GNU Scientific Library: https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
|
||||
// need to make sure `exp >= 0` before calling this function
|
||||
template <typename T>
|
||||
T __nac3_int_exp_impl(T base, T exp) {
|
||||
T res = 1;
|
||||
/* repeated squaring method */
|
||||
do {
|
||||
if (exp & 1) {
|
||||
res *= base; /* for n odd */
|
||||
}
|
||||
exp >>= 1;
|
||||
base *= base;
|
||||
} while (exp);
|
||||
return res;
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
SizeT __nac3_ndarray_calc_size_impl(
|
||||
const SizeT* list_data,
|
||||
SizeT list_len,
|
||||
SizeT begin_idx,
|
||||
SizeT end_idx
|
||||
) {
|
||||
__builtin_assume(end_idx <= list_len);
|
||||
|
||||
SizeT num_elems = 1;
|
||||
for (SizeT i = begin_idx; i < end_idx; ++i) {
|
||||
SizeT val = list_data[i];
|
||||
__builtin_assume(val > 0);
|
||||
num_elems *= val;
|
||||
}
|
||||
return num_elems;
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
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;
|
||||
__builtin_assume(dims[i] > 0);
|
||||
idxs[i] = (index / stride) % dims[i];
|
||||
stride *= dims[i];
|
||||
}
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
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) {
|
||||
SizeT ri = num_dims - i - 1;
|
||||
if (ri < num_indices) {
|
||||
idx += stride * indices[ri];
|
||||
}
|
||||
|
||||
__builtin_assume(dims[i] > 0);
|
||||
stride *= dims[ri];
|
||||
}
|
||||
return idx;
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
void __nac3_ndarray_calc_broadcast_impl(
|
||||
const SizeT* lhs_dims,
|
||||
SizeT lhs_ndims,
|
||||
const SizeT* rhs_dims,
|
||||
SizeT rhs_ndims,
|
||||
SizeT* out_dims
|
||||
) {
|
||||
SizeT max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims;
|
||||
|
||||
for (SizeT i = 0; i < max_ndims; ++i) {
|
||||
const SizeT* lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : nullptr;
|
||||
const SizeT* rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : nullptr;
|
||||
SizeT* out_dim = &out_dims[max_ndims - i - 1];
|
||||
|
||||
if (lhs_dim_sz == nullptr) {
|
||||
*out_dim = *rhs_dim_sz;
|
||||
} else if (rhs_dim_sz == nullptr) {
|
||||
*out_dim = *lhs_dim_sz;
|
||||
} else if (*lhs_dim_sz == 1) {
|
||||
*out_dim = *rhs_dim_sz;
|
||||
} else if (*rhs_dim_sz == 1) {
|
||||
*out_dim = *lhs_dim_sz;
|
||||
} else if (*lhs_dim_sz == *rhs_dim_sz) {
|
||||
*out_dim = *lhs_dim_sz;
|
||||
} else {
|
||||
__builtin_unreachable();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
void __nac3_ndarray_calc_broadcast_idx_impl(
|
||||
const SizeT* src_dims,
|
||||
SizeT src_ndims,
|
||||
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];
|
||||
}
|
||||
}
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
#define DEF_nac3_int_exp_(T) \
|
||||
T __nac3_int_exp_##T(T base, T exp) {\
|
||||
return __nac3_int_exp_impl(base, exp);\
|
||||
}
|
||||
|
||||
DEF_nac3_int_exp_(int32_t)
|
||||
DEF_nac3_int_exp_(int64_t)
|
||||
DEF_nac3_int_exp_(uint32_t)
|
||||
DEF_nac3_int_exp_(uint64_t)
|
||||
|
||||
SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
|
||||
if (i < 0) {
|
||||
i = len + i;
|
||||
}
|
||||
if (i < 0) {
|
||||
return 0;
|
||||
} else if (i > len) {
|
||||
return 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;
|
||||
}
|
||||
}
|
||||
|
||||
// Handle list assignment and dropping part of the list when
|
||||
// both dest_step and src_step are +1.
|
||||
// - All the index must *not* be out-of-bound or negative,
|
||||
// - The end index is *inclusive*,
|
||||
// - The length of src and dest slice size should already
|
||||
// be checked: if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest)
|
||||
SliceIndex __nac3_list_slice_assign_var_size(
|
||||
SliceIndex dest_start,
|
||||
SliceIndex dest_end,
|
||||
SliceIndex dest_step,
|
||||
uint8_t* dest_arr,
|
||||
SliceIndex dest_arr_len,
|
||||
SliceIndex src_start,
|
||||
SliceIndex src_end,
|
||||
SliceIndex src_step,
|
||||
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 */
|
||||
if (dest_arr_len == 0) return dest_arr_len;
|
||||
/* if both step is 1, memmove directly, handle the dropping of the list, and shrink size */
|
||||
if (src_step == dest_step && dest_step == 1) {
|
||||
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(
|
||||
dest_arr + dest_start * size,
|
||||
src_arr + src_start * size,
|
||||
src_len * size
|
||||
);
|
||||
}
|
||||
if (dest_len > 0) {
|
||||
/* dropping */
|
||||
__builtin_memmove(
|
||||
dest_arr + (dest_start + src_len) * size,
|
||||
dest_arr + (dest_end + 1) * size,
|
||||
(dest_arr_len - dest_end - 1) * size
|
||||
);
|
||||
}
|
||||
/* shrink size */
|
||||
return dest_arr_len - (dest_len - src_len);
|
||||
}
|
||||
/* if two range overlaps, need alloca */
|
||||
uint8_t need_alloca =
|
||||
(dest_arr == src_arr)
|
||||
&& !(
|
||||
max(dest_start, dest_end) < min(src_start, src_end)
|
||||
|| max(src_start, src_end) < min(dest_start, dest_end)
|
||||
);
|
||||
if (need_alloca) {
|
||||
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;
|
||||
}
|
||||
SliceIndex src_ind = src_start;
|
||||
SliceIndex dest_ind = 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(dest_arr + dest_ind, src_arr + src_ind, 1);
|
||||
} else if (size == 4) {
|
||||
__builtin_memcpy(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 4);
|
||||
} else if (size == 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(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(
|
||||
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;
|
||||
}
|
||||
return dest_arr_len;
|
||||
}
|
||||
|
||||
int32_t __nac3_isinf(double x) {
|
||||
return __builtin_isinf(x);
|
||||
}
|
||||
|
||||
int32_t __nac3_isnan(double x) {
|
||||
return __builtin_isnan(x);
|
||||
}
|
||||
|
||||
double tgamma(double arg);
|
||||
|
||||
double __nac3_gamma(double z) {
|
||||
// Handling for denormals
|
||||
// | x | Python gamma(x) | C tgamma(x) |
|
||||
// --- | ----------------- | --------------- | ----------- |
|
||||
// (1) | nan | nan | nan |
|
||||
// (2) | -inf | -inf | inf |
|
||||
// (3) | inf | inf | inf |
|
||||
// (4) | 0.0 | inf | inf |
|
||||
// (5) | {-1.0, -2.0, ...} | inf | nan |
|
||||
|
||||
// (1)-(3)
|
||||
if (__builtin_isinf(z) || __builtin_isnan(z)) {
|
||||
return z;
|
||||
}
|
||||
|
||||
double v = tgamma(z);
|
||||
|
||||
// (4)-(5)
|
||||
return __builtin_isinf(v) || __builtin_isnan(v) ? __builtin_inf() : v;
|
||||
}
|
||||
|
||||
double lgamma(double arg);
|
||||
|
||||
double __nac3_gammaln(double x) {
|
||||
// libm's handling of value overflows differs from scipy:
|
||||
// - scipy: gammaln(-inf) -> -inf
|
||||
// - libm : lgamma(-inf) -> inf
|
||||
|
||||
if (__builtin_isinf(x)) {
|
||||
return x;
|
||||
}
|
||||
|
||||
return lgamma(x);
|
||||
}
|
||||
|
||||
double j0(double x);
|
||||
|
||||
double __nac3_j0(double x) {
|
||||
// libm's handling of value overflows differs from scipy:
|
||||
// - scipy: j0(inf) -> nan
|
||||
// - libm : j0(inf) -> 0.0
|
||||
|
||||
if (__builtin_isinf(x)) {
|
||||
return __builtin_nan("");
|
||||
}
|
||||
|
||||
return j0(x);
|
||||
}
|
||||
|
||||
uint32_t __nac3_ndarray_calc_size(
|
||||
const uint32_t* list_data,
|
||||
uint32_t list_len,
|
||||
uint32_t begin_idx,
|
||||
uint32_t end_idx
|
||||
) {
|
||||
return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
|
||||
}
|
||||
|
||||
uint64_t __nac3_ndarray_calc_size64(
|
||||
const uint64_t* list_data,
|
||||
uint64_t list_len,
|
||||
uint64_t begin_idx,
|
||||
uint64_t end_idx
|
||||
) {
|
||||
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,
|
||||
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,
|
||||
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 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 NDIndex* indices,
|
||||
uint64_t num_indices
|
||||
) {
|
||||
return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_broadcast(
|
||||
const uint32_t* lhs_dims,
|
||||
uint32_t lhs_ndims,
|
||||
const uint32_t* rhs_dims,
|
||||
uint32_t rhs_ndims,
|
||||
uint32_t* out_dims
|
||||
) {
|
||||
return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_broadcast64(
|
||||
const uint64_t* lhs_dims,
|
||||
uint64_t lhs_ndims,
|
||||
const uint64_t* rhs_dims,
|
||||
uint64_t rhs_ndims,
|
||||
uint64_t* out_dims
|
||||
) {
|
||||
return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_broadcast_idx(
|
||||
const uint32_t* src_dims,
|
||||
uint32_t src_ndims,
|
||||
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 NDIndex* in_idx,
|
||||
NDIndex* out_idx
|
||||
) {
|
||||
__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
|
||||
}
|
||||
} // extern "C"
|
|
@ -1,9 +0,0 @@
|
|||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
|
||||
template<typename SizeT>
|
||||
struct CSlice {
|
||||
void* base;
|
||||
SizeT len;
|
||||
};
|
|
@ -1,25 +0,0 @@
|
|||
#pragma once
|
||||
|
||||
// Set in nac3core/build.rs
|
||||
#ifdef IRRT_DEBUG_ASSERT
|
||||
#define IRRT_DEBUG_ASSERT_BOOL true
|
||||
#else
|
||||
#define IRRT_DEBUG_ASSERT_BOOL false
|
||||
#endif
|
||||
|
||||
#define raise_debug_assert(SizeT, msg, param1, param2, param3) \
|
||||
raise_exception(SizeT, EXN_ASSERTION_ERROR, "IRRT debug assert failed: " msg, param1, param2, param3)
|
||||
|
||||
#define debug_assert_eq(SizeT, lhs, rhs) \
|
||||
if constexpr (IRRT_DEBUG_ASSERT_BOOL) { \
|
||||
if ((lhs) != (rhs)) { \
|
||||
raise_debug_assert(SizeT, "LHS = {0}. RHS = {1}", lhs, rhs, NO_PARAM); \
|
||||
} \
|
||||
}
|
||||
|
||||
#define debug_assert(SizeT, expr) \
|
||||
if constexpr (IRRT_DEBUG_ASSERT_BOOL) { \
|
||||
if (!(expr)) { \
|
||||
raise_debug_assert(SizeT, "Got false.", NO_PARAM, NO_PARAM, NO_PARAM); \
|
||||
} \
|
||||
}
|
|
@ -0,0 +1,85 @@
|
|||
#pragma once
|
||||
|
||||
#include <irrt/int_defs.hpp>
|
||||
#include <irrt/utils.hpp>
|
||||
|
||||
namespace {
|
||||
// nac3core's "str" struct type definition
|
||||
template <typename SizeT>
|
||||
struct Str {
|
||||
const char* content;
|
||||
SizeT length;
|
||||
};
|
||||
|
||||
// A limited set of errors IRRT could use.
|
||||
typedef uint32_t ErrorId;
|
||||
struct ErrorIds {
|
||||
ErrorId index_error;
|
||||
ErrorId value_error;
|
||||
ErrorId assertion_error;
|
||||
ErrorId runtime_error;
|
||||
ErrorId type_error;
|
||||
};
|
||||
|
||||
struct ErrorContext {
|
||||
// Context
|
||||
const ErrorIds* error_ids;
|
||||
|
||||
// Error thrown by IRRT
|
||||
ErrorId error_id;
|
||||
const char* message_template; // MUST BE `&'static`
|
||||
int64_t param1;
|
||||
int64_t param2;
|
||||
int64_t param3;
|
||||
|
||||
void initialize(const ErrorIds* error_ids) {
|
||||
this->error_ids = error_ids;
|
||||
clear_error();
|
||||
}
|
||||
|
||||
void clear_error() {
|
||||
// Point the message_template to an empty str. Don't set it to nullptr as a sentinel
|
||||
this->message_template = "";
|
||||
}
|
||||
|
||||
void set_error(ErrorId error_id, const char* message, int64_t param1 = 0, int64_t param2 = 0, int64_t param3 = 0) {
|
||||
this->error_id = error_id;
|
||||
this->message_template = message;
|
||||
this->param1 = param1;
|
||||
this->param2 = param2;
|
||||
this->param3 = param3;
|
||||
}
|
||||
|
||||
bool has_error() {
|
||||
return !cstr_utils::is_empty(message_template);
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
void get_error_str(Str<SizeT> *dst_str) {
|
||||
dst_str->content = message_template;
|
||||
dst_str->length = (SizeT) cstr_utils::length(message_template);
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
extern "C" {
|
||||
void __nac3_error_context_initialize(ErrorContext* errctx, const ErrorIds* error_ids) {
|
||||
errctx->initialize(error_ids);
|
||||
}
|
||||
|
||||
bool __nac3_error_context_has_no_error(ErrorContext* errctx) {
|
||||
return !errctx->has_error();
|
||||
}
|
||||
|
||||
void __nac3_error_context_get_error_str(ErrorContext* errctx, Str<int32_t> *dst_str) {
|
||||
errctx->get_error_str<int32_t>(dst_str);
|
||||
}
|
||||
|
||||
void __nac3_error_context_get_error_str64(ErrorContext* errctx, Str<int64_t> *dst_str) {
|
||||
errctx->get_error_str<int64_t>(dst_str);
|
||||
}
|
||||
|
||||
void __nac3_error_dummy_raise(ErrorContext* errctx) {
|
||||
errctx->set_error(errctx->error_ids->runtime_error, "THROWN FROM __nac3_error_dummy_raise!!!!!!");
|
||||
}
|
||||
}
|
|
@ -1,85 +0,0 @@
|
|||
#pragma once
|
||||
|
||||
#include "irrt/cslice.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
|
||||
/**
|
||||
* @brief The int type of ARTIQ exception IDs.
|
||||
*/
|
||||
using ExceptionId = int32_t;
|
||||
|
||||
/*
|
||||
* Set of exceptions C++ IRRT can use.
|
||||
* Must be synchronized with `setup_irrt_exceptions` in `nac3core/src/codegen/irrt/mod.rs`.
|
||||
*/
|
||||
extern "C" {
|
||||
ExceptionId EXN_INDEX_ERROR;
|
||||
ExceptionId EXN_VALUE_ERROR;
|
||||
ExceptionId EXN_ASSERTION_ERROR;
|
||||
ExceptionId EXN_TYPE_ERROR;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Extern function to `__nac3_raise`
|
||||
*
|
||||
* The parameter `err` could be `Exception<int32_t>` or `Exception<int64_t>`. The caller
|
||||
* must make sure to pass `Exception`s with the correct `SizeT` depending on the `size_t` of the runtime.
|
||||
*/
|
||||
extern "C" void __nac3_raise(void* err);
|
||||
|
||||
namespace {
|
||||
/**
|
||||
* @brief NAC3's Exception struct
|
||||
*/
|
||||
template<typename SizeT>
|
||||
struct Exception {
|
||||
ExceptionId id;
|
||||
CSlice<SizeT> filename;
|
||||
int32_t line;
|
||||
int32_t column;
|
||||
CSlice<SizeT> function;
|
||||
CSlice<SizeT> msg;
|
||||
int64_t params[3];
|
||||
};
|
||||
|
||||
constexpr int64_t NO_PARAM = 0;
|
||||
|
||||
template<typename SizeT>
|
||||
void _raise_exception_helper(ExceptionId id,
|
||||
const char* filename,
|
||||
int32_t line,
|
||||
const char* function,
|
||||
const char* msg,
|
||||
int64_t param0,
|
||||
int64_t param1,
|
||||
int64_t param2) {
|
||||
Exception<SizeT> e = {
|
||||
.id = id,
|
||||
.filename = {.base = reinterpret_cast<void*>(const_cast<char*>(filename)),
|
||||
.len = static_cast<SizeT>(__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))},
|
||||
};
|
||||
e.params[0] = param0;
|
||||
e.params[1] = param1;
|
||||
e.params[2] = param2;
|
||||
__nac3_raise(reinterpret_cast<void*>(&e));
|
||||
__builtin_unreachable();
|
||||
}
|
||||
} // namespace
|
||||
|
||||
/**
|
||||
* @brief Raise an exception with location details (location in the IRRT source files).
|
||||
* @param SizeT The runtime `size_t` type.
|
||||
* @param id The ID of the exception to raise.
|
||||
* @param msg A global constant C-string of the error message.
|
||||
*
|
||||
* `param0` to `param2` are optional format arguments of `msg`. They should be set to
|
||||
* `NO_PARAM` to indicate they are unused.
|
||||
*/
|
||||
#define raise_exception(SizeT, id, msg, param0, param1, param2) \
|
||||
_raise_exception_helper<SizeT>(id, __FILE__, __LINE__, __FUNCTION__, msg, param0, param1, param2)
|
|
@ -0,0 +1,12 @@
|
|||
#pragma once
|
||||
|
||||
// This is made toggleable since `irrt_test.cpp` itself would include
|
||||
// headers that define these typedefs
|
||||
#ifdef IRRT_DEFINE_TYPEDEF_INTS
|
||||
typedef _BitInt(8) int8_t;
|
||||
typedef unsigned _BitInt(8) uint8_t;
|
||||
typedef _BitInt(32) int32_t;
|
||||
typedef unsigned _BitInt(32) uint32_t;
|
||||
typedef _BitInt(64) int64_t;
|
||||
typedef unsigned _BitInt(64) uint64_t;
|
||||
#endif
|
|
@ -1,27 +0,0 @@
|
|||
#pragma once
|
||||
|
||||
#if __STDC_VERSION__ >= 202000
|
||||
using int8_t = _BitInt(8);
|
||||
using uint8_t = unsigned _BitInt(8);
|
||||
using int32_t = _BitInt(32);
|
||||
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 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;
|
|
@ -1,81 +0,0 @@
|
|||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/math_util.hpp"
|
||||
|
||||
extern "C" {
|
||||
// Handle list assignment and dropping part of the list when
|
||||
// both dest_step and src_step are +1.
|
||||
// - All the index must *not* be out-of-bound or negative,
|
||||
// - The end index is *inclusive*,
|
||||
// - The length of src and dest slice size should already
|
||||
// be checked: if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest)
|
||||
SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
|
||||
SliceIndex dest_end,
|
||||
SliceIndex dest_step,
|
||||
void* dest_arr,
|
||||
SliceIndex dest_arr_len,
|
||||
SliceIndex src_start,
|
||||
SliceIndex src_end,
|
||||
SliceIndex src_step,
|
||||
void* src_arr,
|
||||
SliceIndex src_arr_len,
|
||||
const SliceIndex size) {
|
||||
/* if dest_arr_len == 0, do nothing since we do not support extending list */
|
||||
if (dest_arr_len == 0)
|
||||
return dest_arr_len;
|
||||
/* if both step is 1, memmove directly, handle the dropping of the list, and shrink size */
|
||||
if (src_step == dest_step && dest_step == 1) {
|
||||
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);
|
||||
}
|
||||
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,
|
||||
(dest_arr_len - dest_end - 1) * size);
|
||||
}
|
||||
/* shrink size */
|
||||
return dest_arr_len - (dest_len - src_len);
|
||||
}
|
||||
/* if two range overlaps, need alloca */
|
||||
uint8_t need_alloca = (dest_arr == src_arr)
|
||||
&& !(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);
|
||||
__builtin_memcpy(tmp, src_arr, src_arr_len * size);
|
||||
src_arr = tmp;
|
||||
}
|
||||
SliceIndex src_ind = src_start;
|
||||
SliceIndex dest_ind = 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);
|
||||
} 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);
|
||||
} 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);
|
||||
} 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);
|
||||
}
|
||||
}
|
||||
/* 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,
|
||||
(dest_arr_len - dest_end - 1) * size);
|
||||
return dest_arr_len - (dest_end - dest_ind) - 1;
|
||||
}
|
||||
return dest_arr_len;
|
||||
}
|
||||
} // extern "C"
|
|
@ -1,93 +0,0 @@
|
|||
#pragma once
|
||||
|
||||
namespace {
|
||||
// adapted from GNU Scientific Library: https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
|
||||
// need to make sure `exp >= 0` before calling this function
|
||||
template<typename T>
|
||||
T __nac3_int_exp_impl(T base, T exp) {
|
||||
T res = 1;
|
||||
/* repeated squaring method */
|
||||
do {
|
||||
if (exp & 1) {
|
||||
res *= base; /* for n odd */
|
||||
}
|
||||
exp >>= 1;
|
||||
base *= base;
|
||||
} while (exp);
|
||||
return res;
|
||||
}
|
||||
} // namespace
|
||||
|
||||
#define DEF_nac3_int_exp_(T) \
|
||||
T __nac3_int_exp_##T(T base, T exp) { \
|
||||
return __nac3_int_exp_impl(base, exp); \
|
||||
}
|
||||
|
||||
extern "C" {
|
||||
|
||||
// Putting semicolons here to make clang-format not reformat this into
|
||||
// a stair shape.
|
||||
DEF_nac3_int_exp_(int32_t);
|
||||
DEF_nac3_int_exp_(int64_t);
|
||||
DEF_nac3_int_exp_(uint32_t);
|
||||
DEF_nac3_int_exp_(uint64_t);
|
||||
|
||||
int32_t __nac3_isinf(double x) {
|
||||
return __builtin_isinf(x);
|
||||
}
|
||||
|
||||
int32_t __nac3_isnan(double x) {
|
||||
return __builtin_isnan(x);
|
||||
}
|
||||
|
||||
double tgamma(double arg);
|
||||
|
||||
double __nac3_gamma(double z) {
|
||||
// Handling for denormals
|
||||
// | x | Python gamma(x) | C tgamma(x) |
|
||||
// --- | ----------------- | --------------- | ----------- |
|
||||
// (1) | nan | nan | nan |
|
||||
// (2) | -inf | -inf | inf |
|
||||
// (3) | inf | inf | inf |
|
||||
// (4) | 0.0 | inf | inf |
|
||||
// (5) | {-1.0, -2.0, ...} | inf | nan |
|
||||
|
||||
// (1)-(3)
|
||||
if (__builtin_isinf(z) || __builtin_isnan(z)) {
|
||||
return z;
|
||||
}
|
||||
|
||||
double v = tgamma(z);
|
||||
|
||||
// (4)-(5)
|
||||
return __builtin_isinf(v) || __builtin_isnan(v) ? __builtin_inf() : v;
|
||||
}
|
||||
|
||||
double lgamma(double arg);
|
||||
|
||||
double __nac3_gammaln(double x) {
|
||||
// libm's handling of value overflows differs from scipy:
|
||||
// - scipy: gammaln(-inf) -> -inf
|
||||
// - libm : lgamma(-inf) -> inf
|
||||
|
||||
if (__builtin_isinf(x)) {
|
||||
return x;
|
||||
}
|
||||
|
||||
return lgamma(x);
|
||||
}
|
||||
|
||||
double j0(double x);
|
||||
|
||||
double __nac3_j0(double x) {
|
||||
// libm's handling of value overflows differs from scipy:
|
||||
// - scipy: j0(inf) -> nan
|
||||
// - libm : j0(inf) -> 0.0
|
||||
|
||||
if (__builtin_isinf(x)) {
|
||||
return __builtin_nan("");
|
||||
}
|
||||
|
||||
return j0(x);
|
||||
}
|
||||
} // namespace
|
|
@ -1,13 +0,0 @@
|
|||
#pragma once
|
||||
|
||||
namespace {
|
||||
template<typename T>
|
||||
const T& max(const T& a, const T& b) {
|
||||
return a > b ? a : b;
|
||||
}
|
||||
|
||||
template<typename T>
|
||||
const T& min(const T& a, const T& b) {
|
||||
return a > b ? b : a;
|
||||
}
|
||||
} // namespace
|
|
@ -1,144 +0,0 @@
|
|||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
|
||||
namespace {
|
||||
template<typename SizeT>
|
||||
SizeT __nac3_ndarray_calc_size_impl(const SizeT* list_data, SizeT list_len, SizeT begin_idx, SizeT end_idx) {
|
||||
__builtin_assume(end_idx <= list_len);
|
||||
|
||||
SizeT num_elems = 1;
|
||||
for (SizeT i = begin_idx; i < end_idx; ++i) {
|
||||
SizeT val = list_data[i];
|
||||
__builtin_assume(val > 0);
|
||||
num_elems *= val;
|
||||
}
|
||||
return num_elems;
|
||||
}
|
||||
|
||||
template<typename SizeT>
|
||||
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;
|
||||
__builtin_assume(dims[i] > 0);
|
||||
idxs[i] = (index / stride) % dims[i];
|
||||
stride *= dims[i];
|
||||
}
|
||||
}
|
||||
|
||||
template<typename SizeT>
|
||||
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) {
|
||||
SizeT ri = num_dims - i - 1;
|
||||
if (ri < num_indices) {
|
||||
idx += stride * indices[ri];
|
||||
}
|
||||
|
||||
__builtin_assume(dims[i] > 0);
|
||||
stride *= dims[ri];
|
||||
}
|
||||
return idx;
|
||||
}
|
||||
|
||||
template<typename SizeT>
|
||||
void __nac3_ndarray_calc_broadcast_impl(const SizeT* lhs_dims,
|
||||
SizeT lhs_ndims,
|
||||
const SizeT* rhs_dims,
|
||||
SizeT rhs_ndims,
|
||||
SizeT* out_dims) {
|
||||
SizeT max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims;
|
||||
|
||||
for (SizeT i = 0; i < max_ndims; ++i) {
|
||||
const SizeT* lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : nullptr;
|
||||
const SizeT* rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : nullptr;
|
||||
SizeT* out_dim = &out_dims[max_ndims - i - 1];
|
||||
|
||||
if (lhs_dim_sz == nullptr) {
|
||||
*out_dim = *rhs_dim_sz;
|
||||
} else if (rhs_dim_sz == nullptr) {
|
||||
*out_dim = *lhs_dim_sz;
|
||||
} else if (*lhs_dim_sz == 1) {
|
||||
*out_dim = *rhs_dim_sz;
|
||||
} else if (*rhs_dim_sz == 1) {
|
||||
*out_dim = *lhs_dim_sz;
|
||||
} else if (*lhs_dim_sz == *rhs_dim_sz) {
|
||||
*out_dim = *lhs_dim_sz;
|
||||
} else {
|
||||
__builtin_unreachable();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
template<typename SizeT>
|
||||
void __nac3_ndarray_calc_broadcast_idx_impl(const SizeT* src_dims,
|
||||
SizeT src_ndims,
|
||||
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];
|
||||
}
|
||||
}
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
uint32_t __nac3_ndarray_calc_size(const uint32_t* list_data, uint32_t list_len, uint32_t begin_idx, uint32_t end_idx) {
|
||||
return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
|
||||
}
|
||||
|
||||
uint64_t
|
||||
__nac3_ndarray_calc_size64(const uint64_t* list_data, uint64_t list_len, uint64_t begin_idx, uint64_t end_idx) {
|
||||
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, 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, 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 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 NDIndex* indices, uint64_t num_indices) {
|
||||
return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_broadcast(const uint32_t* lhs_dims,
|
||||
uint32_t lhs_ndims,
|
||||
const uint32_t* rhs_dims,
|
||||
uint32_t rhs_ndims,
|
||||
uint32_t* out_dims) {
|
||||
return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_broadcast64(const uint64_t* lhs_dims,
|
||||
uint64_t lhs_ndims,
|
||||
const uint64_t* rhs_dims,
|
||||
uint64_t rhs_ndims,
|
||||
uint64_t* out_dims) {
|
||||
return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_calc_broadcast_idx(const uint32_t* src_dims,
|
||||
uint32_t src_ndims,
|
||||
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 NDIndex* in_idx,
|
||||
NDIndex* out_idx) {
|
||||
__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
|
||||
}
|
||||
} // namespace
|
|
@ -0,0 +1,221 @@
|
|||
#pragma once
|
||||
|
||||
#include <irrt/int_defs.hpp>
|
||||
#include <irrt/error_context.hpp>
|
||||
#include <irrt/numpy/ndarray_def.hpp>
|
||||
|
||||
namespace { namespace ndarray { namespace basic {
|
||||
namespace util {
|
||||
// throw an error if there is an axis with negative dimension
|
||||
template <typename SizeT>
|
||||
void assert_shape_no_negative(ErrorContext* errctx, SizeT ndims, const SizeT* shape) {
|
||||
for (SizeT axis = 0; axis < ndims; axis++) {
|
||||
if (shape[axis] < 0) {
|
||||
errctx->set_error(
|
||||
errctx->error_ids->value_error,
|
||||
"negative dimensions are not allowed; axis {0} has dimension {1}",
|
||||
axis, shape[axis]
|
||||
);
|
||||
return;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// compute the size/# of elements of an ndarray given its shape
|
||||
template <typename SizeT>
|
||||
SizeT calc_size_from_shape(SizeT ndims, const SizeT* shape) {
|
||||
SizeT size = 1;
|
||||
for (SizeT axis = 0; axis < ndims; axis++) size *= shape[axis];
|
||||
return size;
|
||||
}
|
||||
|
||||
// compute the strides of an ndarray given an ndarray `shape`
|
||||
// and assuming that the ndarray is *fully c-contagious*.
|
||||
//
|
||||
// you might want to read up on https://ajcr.net/stride-guide-part-1/.
|
||||
//
|
||||
// this function might be used in isolation without an ndarray. that's
|
||||
// why it separated out into its own util function.
|
||||
template <typename SizeT>
|
||||
void set_strides_by_shape(SizeT itemsize, SizeT ndims, SizeT* dst_strides, const SizeT* shape) {
|
||||
SizeT stride_product = 1;
|
||||
for (SizeT i = 0; i < ndims; i++) {
|
||||
int axis = ndims - i - 1;
|
||||
dst_strides[axis] = stride_product * itemsize;
|
||||
stride_product *= shape[axis];
|
||||
}
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
void set_indices_by_nth(SizeT ndims, const SizeT* shape, SizeT* indices, SizeT nth) {
|
||||
for (int32_t i = 0; i < ndims; i++) {
|
||||
int32_t axis = ndims - i - 1;
|
||||
int32_t dim = shape[axis];
|
||||
|
||||
indices[axis] = nth % dim;
|
||||
nth /= dim;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// calculate the size/# of elements of an `ndarray`.
|
||||
// this function corresponds to `np.size(<ndarray>)` or `ndarray.size`
|
||||
template <typename SizeT>
|
||||
SizeT size(NDArray<SizeT>* ndarray) {
|
||||
return util::calc_size_from_shape(ndarray->ndims, ndarray->shape);
|
||||
}
|
||||
|
||||
// calculate the number of bytes of its content of an `ndarray` *in its view*.
|
||||
// this function corresponds to `ndarray.nbytes`
|
||||
template <typename SizeT>
|
||||
SizeT nbytes(NDArray<SizeT>* ndarray) {
|
||||
return size(ndarray) * ndarray->itemsize;
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
void set_strides_by_shape(NDArray<SizeT>* ndarray) {
|
||||
util::set_strides_by_shape(ndarray->itemsize, ndarray->ndims, ndarray->strides, ndarray->shape);
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
uint8_t* get_pelement_by_indices(NDArray<SizeT>* ndarray, const SizeT* indices) {
|
||||
uint8_t* element = ndarray->data;
|
||||
for (SizeT dim_i = 0; dim_i < ndarray->ndims; dim_i++)
|
||||
element += indices[dim_i] * ndarray->strides[dim_i];
|
||||
return element;
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
uint8_t* get_nth_pelement(NDArray<SizeT>* ndarray, SizeT nth) {
|
||||
SizeT* indices = (SizeT*) __builtin_alloca(sizeof(SizeT) * ndarray->ndims);
|
||||
util::set_indices_by_nth(ndarray->ndims, ndarray->shape, indices, nth);
|
||||
return get_pelement_by_indices(ndarray, indices);
|
||||
}
|
||||
|
||||
// get the pointer to the nth element of the ndarray as if it were flattened.
|
||||
template <typename SizeT>
|
||||
uint8_t* checked_get_nth_pelement(NDArray<SizeT>* ndarray, ErrorContext* errctx, SizeT nth) {
|
||||
SizeT arr_size = ndarray->size();
|
||||
if (!(0 <= nth && nth < arr_size)) {
|
||||
errctx->set_error(
|
||||
errctx->error_ids->index_error,
|
||||
"index {0} is out of bounds, valid range is {1} <= index < {2}",
|
||||
nth, 0, arr_size
|
||||
);
|
||||
return 0;
|
||||
}
|
||||
return get_nth_pelement(ndarray, nth);
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
void set_pelement_value(NDArray<SizeT>* ndarray, uint8_t* pelement, const uint8_t* pvalue) {
|
||||
__builtin_memcpy(pelement, pvalue, ndarray->itemsize);
|
||||
}
|
||||
|
||||
template <typename SizeT>
|
||||
void len(ErrorContext* errctx, NDArray<SizeT>* ndarray, SliceIndex* dst_length) {
|
||||
// Error if the ndarray is "unsized" (i.e, ndims == 0)
|
||||
if (ndarray->ndims == 0) {
|
||||
// Error copied from python by doing `len(np.zeros(()))`
|
||||
errctx->set_error(
|
||||
errctx->error_ids->type_error,
|
||||
"len() of unsized object"
|
||||
);
|
||||
return; // Terminate
|
||||
}
|
||||
|
||||
*dst_length = (SliceIndex) ndarray->shape[0];
|
||||
}
|
||||
|
||||
// Copy data from one ndarray to another *OF THE EXACT SAME* ndims, shape, and itemsize.
|
||||
template <typename SizeT>
|
||||
void copy_data(const NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
|
||||
__builtin_assume(src_ndarray->ndims == dst_ndarray->ndims);
|
||||
__builtin_assume(src_ndarray->itemsize == dst_ndarray->itemsize);
|
||||
|
||||
for (SizeT i = 0; i < src_ndarray->size; i++) {
|
||||
auto src_element = ndarray::basic::get_nth_pelement(src_ndarray, i);
|
||||
auto dst_element = ndarray::basic::get_nth_pelement(dst_ndarray, i);
|
||||
ndarray::basic::set_pelement_value(dst_ndarray, dst_element, src_element);
|
||||
}
|
||||
}
|
||||
|
||||
// `copy_data()` with assertions to check ndims, shape, and itemsize between the two ndarrays.
|
||||
template <typename SizeT>
|
||||
void copy_data_checked(ErrorContext* errctx, const NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
|
||||
// NOTE: Out of all error types, runtime error seems appropriate
|
||||
|
||||
// Check ndims
|
||||
if (src_ndarray->ndims != dst_ndarray->ndims) {
|
||||
errctx->set_error(
|
||||
errctx->error_ids->runtime_error,
|
||||
"IRRT copy_data_checked input arrays `ndims` are mismatched"
|
||||
);
|
||||
return; // Terminate
|
||||
}
|
||||
|
||||
// Check shape
|
||||
if (!arrays_match(src_ndarray->ndims, src_ndarray->shape, dst_ndarray->shape)) {
|
||||
errctx->set_error(
|
||||
errctx->error_ids->runtime_error,
|
||||
"IRRT copy_data_checked input arrays `shape` are mismatched"
|
||||
);
|
||||
return; // Terminate
|
||||
}
|
||||
|
||||
// Check itemsize
|
||||
if (src_ndarray->itemsize != dst_ndarray->itemsize) {
|
||||
errctx->set_error(
|
||||
errctx->error_ids->runtime_error,
|
||||
"IRRT copy_data_checked input arrays `itemsize` are mismatched"
|
||||
);
|
||||
return; // Terminate
|
||||
}
|
||||
|
||||
copy_data(src_ndarray, dst_ndarray);
|
||||
}
|
||||
} } }
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::basic;
|
||||
|
||||
uint32_t __nac3_ndarray_size(NDArray<int32_t>* ndarray) {
|
||||
return size(ndarray);
|
||||
}
|
||||
|
||||
uint64_t __nac3_ndarray_size64(NDArray<int64_t>* ndarray) {
|
||||
return size(ndarray);
|
||||
}
|
||||
|
||||
uint32_t __nac3_ndarray_nbytes(NDArray<int32_t>* ndarray) {
|
||||
return nbytes(ndarray);
|
||||
}
|
||||
|
||||
uint64_t __nac3_ndarray_nbytes64(NDArray<int64_t>* ndarray) {
|
||||
return nbytes(ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_len(ErrorContext* errctx, NDArray<int32_t>* ndarray, SliceIndex* dst_len) {
|
||||
return len(errctx, ndarray, dst_len);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_len64(ErrorContext* errctx, NDArray<int64_t>* ndarray, SliceIndex* dst_len) {
|
||||
return len(errctx, ndarray, dst_len);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_util_assert_shape_no_negative(ErrorContext* errctx, int32_t ndims, int32_t* shape) {
|
||||
util::assert_shape_no_negative(errctx, ndims, shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_util_assert_shape_no_negative64(ErrorContext* errctx, int64_t ndims, int64_t* shape) {
|
||||
util::assert_shape_no_negative(errctx, ndims, shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_set_strides_by_shape(NDArray<int32_t>* ndarray) {
|
||||
set_strides_by_shape(ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_set_strides_by_shape64(NDArray<int64_t>* ndarray) {
|
||||
set_strides_by_shape(ndarray);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,135 @@
|
|||
#include <irrt/numpy/ndarray_def.hpp>
|
||||
|
||||
namespace { namespace ndarray { namespace broadcast {
|
||||
namespace util {
|
||||
template <typename SizeT>
|
||||
void assert_broadcast_shape_to(
|
||||
ErrorContext* errctx,
|
||||
const SizeT target_ndims,
|
||||
const SizeT* target_shape,
|
||||
const SizeT src_ndims,
|
||||
const SizeT* src_shape
|
||||
) {
|
||||
/*
|
||||
// See https://numpy.org/doc/stable/user/basics.broadcasting.html
|
||||
|
||||
This function handles this example:
|
||||
```
|
||||
Image (3d array): 256 x 256 x 3
|
||||
Scale (1d array): 3
|
||||
Result (3d array): 256 x 256 x 3
|
||||
```
|
||||
|
||||
Other interesting examples to consider:
|
||||
- `can_broadcast_shape_to([3], [1, 1, 1, 1, 3]) ... ok`
|
||||
- `can_broadcast_shape_to([3], [3, 1]) == false`
|
||||
- `can_broadcast_shape_to([256, 256, 3], [256, 1, 3]) ... ok`
|
||||
|
||||
In cases when the shapes contain zero(es):
|
||||
- `can_broadcast_shape_to([0], [1]) ... ok`
|
||||
- `can_broadcast_shape_to([0], [2]) == false`
|
||||
- `can_broadcast_shape_to([0, 4, 0, 0], [1]) ... ok`
|
||||
- `can_broadcast_shape_to([0, 4, 0, 0], [1, 1, 1, 1]) ... ok`
|
||||
- `can_broadcast_shape_to([0, 4, 0, 0], [1, 4, 1, 1]) ... ok`
|
||||
- `can_broadcast_shape_to([4, 3], [0, 3]) == false`
|
||||
- `can_broadcast_shape_to([4, 3], [0, 0]) == false`
|
||||
*/
|
||||
|
||||
// Target ndims must not be smaller than source ndims
|
||||
// e.g., `np.broadcast_to(np.zeros((1, 1, 1, 1)), (1, ))` is prohibited by numpy
|
||||
if (target_ndims < src_ndims) {
|
||||
// Error copied from python by doing the `np.broadcast_to(np.zeros((1, 1, 1, 1)), (1, ))`
|
||||
errctx->set_error(
|
||||
errctx->error_ids->value_error,
|
||||
"input operand has more dimensions than allowed by the axis remapping"
|
||||
);
|
||||
return; // Terminate
|
||||
}
|
||||
|
||||
// Implements the rules in https://numpy.org/doc/stable/user/basics.broadcasting.html
|
||||
for (SizeT i = 0; i < src_ndims; i++) {
|
||||
SizeT target_axis = target_ndims - i - 1;
|
||||
SizeT src_axis = src_ndims - i - 1;
|
||||
|
||||
bool target_dim_exists = target_axis >= 0;
|
||||
bool src_dim_exists = src_axis >= 0;
|
||||
|
||||
SizeT target_dim = target_dim_exists ? target_shape[target_axis] : 1;
|
||||
SizeT src_dim = src_dim_exists ? src_shape[src_axis] : 1;
|
||||
|
||||
bool ok = src_dim == 1 || target_dim == src_dim;
|
||||
if (!ok) {
|
||||
// Error copied from python by doing `np.broadcast_to(np.zeros((3, 1)), (1, 1)),
|
||||
// but this is the true numpy error:
|
||||
// "ValueError: operands could not be broadcast together with remapped shapes [original->remapped]: (3,1) and requested shape (1,1)"
|
||||
// TODO: we cannot show more than 3 parameters!!
|
||||
errctx->set_error(
|
||||
errctx->error_ids->value_error,
|
||||
"operands could not be broadcast together with remapping shapes [original->remapped]"
|
||||
);
|
||||
return; // Terminate
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Similar to `np.broadcast_to(<ndarray>, <target_shape>)`
|
||||
// Assumptions:
|
||||
// - `src_ndarray` has to be fully initialized.
|
||||
// - `dst_ndarray->ndims` has to be set.
|
||||
// - `dst_ndarray->shape` has to be set, this determines the shape `this` broadcasts to.
|
||||
//
|
||||
// Other notes:
|
||||
// - `dst_ndarray->data` does not have to be set, it will be set to `src_ndarray->data`.
|
||||
// - `dst_ndarray->itemsize` does not have to be set, it will be set to `src_ndarray->data`.
|
||||
// - `dst_ndarray->strides` does not have to be set, it will be overwritten.
|
||||
//
|
||||
// Cautions:
|
||||
// ```
|
||||
// xs = np.zeros((4,))
|
||||
// ys = np.zero((4, 1))
|
||||
// ys[:] = xs # ok
|
||||
//
|
||||
// xs = np.zeros((1, 4))
|
||||
// ys = np.zero((4,))
|
||||
// ys[:] = xs # allowed
|
||||
// # However `np.broadcast_to(xs, (4,))` would fails, as per numpy's broadcasting rule.
|
||||
// # and apparently numpy will "deprecate" this? SEE https://github.com/numpy/numpy/issues/21744
|
||||
// # This implementation will NOT support this assignment.
|
||||
// ```
|
||||
template <typename SizeT>
|
||||
void broadcast_to(ErrorContext* errctx, NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
|
||||
dst_ndarray->data = src_ndarray->data;
|
||||
dst_ndarray->itemsize = src_ndarray->itemsize;
|
||||
|
||||
ndarray::broadcast::util::assert_broadcast_shape_to(
|
||||
errctx,
|
||||
dst_ndarray->ndims,
|
||||
dst_ndarray->shape,
|
||||
src_ndarray->ndims,
|
||||
src_ndarray->shape
|
||||
);
|
||||
if (errctx->has_error()) {
|
||||
return; // Propagate error
|
||||
}
|
||||
|
||||
SizeT stride_product = 1;
|
||||
for (SizeT i = 0; i < max(src_ndarray->ndims, dst_ndarray->ndims); i++) {
|
||||
SizeT this_dim_i = src_ndarray->ndims - i - 1;
|
||||
SizeT dst_dim_i = dst_ndarray->ndims - i - 1;
|
||||
|
||||
bool this_dim_exists = this_dim_i >= 0;
|
||||
bool dst_dim_exists = dst_dim_i >= 0;
|
||||
|
||||
// TODO: Explain how this works
|
||||
bool c1 = this_dim_exists && src_ndarray->shape[this_dim_i] == 1;
|
||||
bool c2 = dst_dim_exists && dst_ndarray->shape[dst_dim_i] != 1;
|
||||
if (!this_dim_exists || (c1 && c2)) {
|
||||
dst_ndarray->strides[dst_dim_i] = 0; // Freeze it in-place
|
||||
} else {
|
||||
dst_ndarray->strides[dst_dim_i] = stride_product * src_ndarray->itemsize;
|
||||
stride_product *= src_ndarray->shape[this_dim_i]; // NOTE: this_dim_exist must be true here.
|
||||
}
|
||||
}
|
||||
}
|
||||
} } }
|
|
@ -0,0 +1,55 @@
|
|||
#pragma once
|
||||
|
||||
namespace {
|
||||
// The NDArray object. `SizeT` is the *signed* size type of this ndarray.
|
||||
//
|
||||
// NOTE: The order of fields is IMPORTANT. DON'T TOUCH IT
|
||||
//
|
||||
// Some resources you might find helpful:
|
||||
// - The official numpy implementations:
|
||||
// - https://github.com/numpy/numpy/blob/735a477f0bc2b5b84d0e72d92f224bde78d4e069/doc/source/reference/c-api/types-and-structures.rst
|
||||
// - On strides (about reshaping, slicing, C-contagiousness, etc)
|
||||
// - https://ajcr.net/stride-guide-part-1/.
|
||||
// - https://ajcr.net/stride-guide-part-2/.
|
||||
// - https://ajcr.net/stride-guide-part-3/.
|
||||
template <typename SizeT>
|
||||
struct NDArray {
|
||||
// The underlying data this `ndarray` is pointing to.
|
||||
//
|
||||
// NOTE: Formally this should be of type `void *`, but clang
|
||||
// translates `void *` to `i8 *` when run with `-S -emit-llvm`,
|
||||
// so we will put `uint8_t *` here for clarity.
|
||||
//
|
||||
// This pointer should point to the first element of the ndarray directly
|
||||
uint8_t *data;
|
||||
|
||||
// The number of bytes of a single element in `data`.
|
||||
//
|
||||
// The `SizeT` is treated as `unsigned`.
|
||||
SizeT itemsize;
|
||||
|
||||
// The number of dimensions of this shape.
|
||||
//
|
||||
// The `SizeT` is treated as `unsigned`.
|
||||
SizeT ndims;
|
||||
|
||||
// Array shape, with length equal to `ndims`.
|
||||
//
|
||||
// The `SizeT` is treated as `unsigned`.
|
||||
//
|
||||
// NOTE: `shape` can contain 0.
|
||||
// (those appear when the user makes an out of bounds slice into an ndarray, e.g., `np.zeros((3, 3))[400:].shape == (0, 3)`)
|
||||
SizeT *shape;
|
||||
|
||||
// Array strides (stride value is in number of bytes, NOT number of elements), with length equal to `ndims`.
|
||||
//
|
||||
// The `SizeT` is treated as `signed`.
|
||||
//
|
||||
// NOTE: `strides` can have negative numbers.
|
||||
// (those appear when there is a slice with a negative step, e.g., `my_array[::-1]`)
|
||||
SizeT *strides;
|
||||
};
|
||||
|
||||
// Because ndarray is so complicated, its functions are splitted into
|
||||
// different files and namespaces.
|
||||
}
|
|
@ -0,0 +1,28 @@
|
|||
#pragma once
|
||||
|
||||
#include <irrt/numpy/ndarray_def.hpp>
|
||||
#include <irrt/numpy/ndarray_basic.hpp>
|
||||
|
||||
namespace { namespace ndarray { namespace fill {
|
||||
// Fill the ndarray with a value
|
||||
template <typename SizeT>
|
||||
void fill_generic(NDArray<SizeT>* ndarray, const uint8_t* pvalue) {
|
||||
const SizeT size = ndarray::basic::size(ndarray);
|
||||
for (SizeT i = 0; i < size; i++) {
|
||||
uint8_t* pelement = ndarray::basic::get_nth_pelement(ndarray, i); // No need for checked_get_nth_pelement
|
||||
ndarray::basic::set_pelement_value(ndarray, pelement, pvalue);
|
||||
}
|
||||
}
|
||||
} } }
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::fill;
|
||||
|
||||
void __nac3_ndarray_fill_generic(NDArray<int32_t>* ndarray, uint8_t* pvalue) {
|
||||
fill_generic(ndarray, pvalue);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_fill_generic64(NDArray<int64_t>* ndarray, uint8_t* pvalue) {
|
||||
fill_generic(ndarray, pvalue);
|
||||
}
|
||||
}
|
|
@ -0,0 +1,169 @@
|
|||
#pragma once
|
||||
|
||||
#include <irrt/slice.hpp>
|
||||
#include <irrt/numpy/ndarray_def.hpp>
|
||||
#include <irrt/numpy/ndarray_basic.hpp>
|
||||
#include <irrt/error_context.hpp>
|
||||
|
||||
namespace {
|
||||
typedef uint8_t NDSubscriptType;
|
||||
|
||||
const NDSubscriptType INPUT_SUBSCRIPT_TYPE_INDEX = 0;
|
||||
const NDSubscriptType INPUT_SUBSCRIPT_TYPE_SLICE = 1;
|
||||
|
||||
struct NDSubscript {
|
||||
// A poor-man's enum variant type
|
||||
NDSubscriptType type;
|
||||
|
||||
/*
|
||||
if type == INPUT_SUBSCRIPT_TYPE_INDEX => `slice` points to a single `SliceIndex`
|
||||
if type == INPUT_SUBSCRIPT_TYPE_SLICE => `slice` points to a single `UserRange`
|
||||
|
||||
`SizeT` is controlled by the caller: `NDSubscript` only cares about where that
|
||||
slice is (the pointer), `NDSubscript` does not care/know about the actual `sizeof()`
|
||||
of the slice value.
|
||||
*/
|
||||
uint8_t* data;
|
||||
};
|
||||
}
|
||||
|
||||
namespace { namespace ndarray { namespace subscript {
|
||||
namespace util {
|
||||
template<typename SizeT>
|
||||
void deduce_ndims_after_slicing(ErrorContext* errctx, SizeT* result, SizeT ndims, SizeT num_ndsubscripts, const NDSubscript* ndsubscripts) {
|
||||
if (num_ndsubscripts > ndims) {
|
||||
// Error copied from python by doing `np.zeros((3, 4))[:, :, :]`
|
||||
errctx->set_error(
|
||||
errctx->error_ids->index_error,
|
||||
"too many indices for array: array is {0}-dimensional, but {1} were indexed",
|
||||
ndims, num_ndsubscripts
|
||||
);
|
||||
return; // Terminate
|
||||
}
|
||||
|
||||
SizeT final_ndims = ndims;
|
||||
for (SizeT i = 0; i < num_ndsubscripts; i++) {
|
||||
if (ndsubscripts[i].type == INPUT_SUBSCRIPT_TYPE_INDEX) {
|
||||
final_ndims--; // An index demotes the rank by 1
|
||||
}
|
||||
}
|
||||
|
||||
*result = final_ndims;
|
||||
}
|
||||
}
|
||||
|
||||
// To support numpy "basic indexing" https://numpy.org/doc/stable/user/basics.indexing.html#basic-indexing
|
||||
// "Advanced indexing" https://numpy.org/doc/stable/user/basics.indexing.html#advanced-indexing is not supported
|
||||
//
|
||||
// This function supports:
|
||||
// - "scalar indexing",
|
||||
// - "slicing and strides",
|
||||
// - and "dimensional indexing tools" (TODO, but this is really easy to implement).
|
||||
//
|
||||
// Things assumed by this function:
|
||||
// - `dst_ndarray` is allocated by the caller
|
||||
// - `dst_ndarray.ndims` has the correct value (according to `ndarray::util::deduce_ndims_after_slicing`).
|
||||
// - ... and `dst_ndarray.shape` and `dst_ndarray.strides` have been allocated by the caller as well
|
||||
//
|
||||
// Other notes:
|
||||
// - `dst_ndarray->data` does not have to be set, it will be derived.
|
||||
// - `dst_ndarray->itemsize` does not have to be set, it will be set to `src_ndarray->itemsize`
|
||||
// - `dst_ndarray->shape` and `dst_ndarray.strides` can contain empty values
|
||||
template <typename SizeT>
|
||||
void subscript(ErrorContext* errctx, SliceIndex num_subscripts, NDSubscript* subscripts, NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
|
||||
// REFERENCE CODE (check out `_index_helper` in `__getitem__`):
|
||||
// https://github.com/wadetb/tinynumpy/blob/0d23d22e07062ffab2afa287374c7b366eebdda1/tinynumpy/tinynumpy.py#L652
|
||||
|
||||
// irrt_assert(dst_ndarray->ndims == ndarray::util::deduce_ndims_after_slicing(src_ndarray->ndims, num_subscripts, subscripts));
|
||||
|
||||
dst_ndarray->data = src_ndarray->data;
|
||||
dst_ndarray->itemsize = src_ndarray->itemsize;
|
||||
|
||||
SizeT src_axis = 0;
|
||||
SizeT dst_axis = 0;
|
||||
|
||||
for (SliceIndex i = 0; i < num_subscripts; i++) {
|
||||
NDSubscript *ndsubscript = &subscripts[i];
|
||||
if (ndsubscript->type == INPUT_SUBSCRIPT_TYPE_INDEX) {
|
||||
// Handle when the ndsubscript is just a single (possibly negative) integer
|
||||
// e.g., `my_array[::2, -5, ::-1]`
|
||||
// ^^------ like this
|
||||
SliceIndex input_index = *((SliceIndex*) ndsubscript->data);
|
||||
|
||||
SliceIndex index = slice::resolve_index_in_length(src_ndarray->shape[src_axis], input_index);
|
||||
if (index == slice::OUT_OF_BOUNDS) {
|
||||
// Error message copied from numpy by doing `np.zeros((3, 4))[100]`
|
||||
errctx->set_error(
|
||||
errctx->error_ids->index_error,
|
||||
"index {0} is out of bounds for axis {1} with size {2}",
|
||||
input_index, src_axis, src_ndarray->shape[src_axis]
|
||||
);
|
||||
return; // Terminate
|
||||
}
|
||||
|
||||
dst_ndarray->data += index * src_ndarray->strides[src_axis]; // Add offset
|
||||
|
||||
// Next
|
||||
src_axis++;
|
||||
} else if (ndsubscript->type == INPUT_SUBSCRIPT_TYPE_SLICE) {
|
||||
// Handle when the ndsubscript is a slice (represented by UserSlice in IRRT)
|
||||
// e.g., `my_array[::2, -5, ::-1]`
|
||||
// ^^^------^^^^----- like these
|
||||
UserSlice* input_user_slice = (UserSlice*) ndsubscript->data;
|
||||
|
||||
// TODO: use checked indices
|
||||
Slice slice;
|
||||
input_user_slice->indices_checked(errctx, src_ndarray->shape[src_axis], &slice); // To resolve negative indices and other funny stuff written by the user
|
||||
if (errctx->has_error()) {
|
||||
return; // Propagate error
|
||||
}
|
||||
|
||||
// NOTE: There is no need to write special code to handle negative steps/strides.
|
||||
// This simple implementation meticulously handles both positive and negative steps/strides.
|
||||
// Check out the tinynumpy and IRRT's test cases if you are not convinced.
|
||||
dst_ndarray->data += (SizeT) slice.start * src_ndarray->strides[src_axis]; // Add offset (NOTE: no need to `* itemsize`, strides count in # of bytes)
|
||||
dst_ndarray->strides[dst_axis] = ((SizeT) slice.step) * src_ndarray->strides[src_axis]; // Determine stride
|
||||
dst_ndarray->shape[dst_axis] = (SizeT) slice.len(); // Determine shape dimension
|
||||
|
||||
// Next
|
||||
dst_axis++;
|
||||
src_axis++;
|
||||
} else {
|
||||
__builtin_unreachable();
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
Reference python code:
|
||||
```python
|
||||
dst_ndarray.shape.extend(src_ndarray.shape[src_axis:])
|
||||
dst_ndarray.strides.extend(src_ndarray.strides[src_axis:])
|
||||
```
|
||||
*/
|
||||
|
||||
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];
|
||||
}
|
||||
}
|
||||
} } }
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::subscript;
|
||||
|
||||
void __nac3_ndarray_subscript_deduce_ndims_after_slicing(ErrorContext* errctx, int32_t* result, int32_t ndims, int32_t num_ndsubscripts, const NDSubscript* ndsubscripts) {
|
||||
ndarray::subscript::util::deduce_ndims_after_slicing(errctx, result, ndims, num_ndsubscripts, ndsubscripts);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_subscript_deduce_ndims_after_slicing64(ErrorContext* errctx, int64_t* result, int64_t ndims, int64_t num_ndsubscripts, const NDSubscript* ndsubscripts) {
|
||||
ndarray::subscript::util::deduce_ndims_after_slicing(errctx, result, ndims, num_ndsubscripts, ndsubscripts);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_subscript(ErrorContext* errctx, SliceIndex num_subscripts, NDSubscript* subscripts, NDArray<int32_t>* src_ndarray, NDArray<int32_t> *dst_ndarray) {
|
||||
subscript(errctx, num_subscripts, subscripts, src_ndarray, dst_ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_subscript64(ErrorContext* errctx, SliceIndex num_subscripts, NDSubscript* subscripts, NDArray<int64_t>* src_ndarray, NDArray<int64_t> *dst_ndarray) {
|
||||
subscript(errctx, num_subscripts, subscripts, src_ndarray, dst_ndarray);
|
||||
}
|
||||
}
|
|
@ -1,22 +1,18 @@
|
|||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
#include <irrt/int_defs.hpp>
|
||||
#include <irrt/slice.hpp>
|
||||
|
||||
extern "C" {
|
||||
SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
|
||||
if (i < 0) {
|
||||
i = len + i;
|
||||
}
|
||||
if (i < 0) {
|
||||
return 0;
|
||||
} else if (i > len) {
|
||||
return len;
|
||||
}
|
||||
return i;
|
||||
}
|
||||
namespace {
|
||||
struct Slice {
|
||||
SliceIndex start;
|
||||
SliceIndex stop;
|
||||
SliceIndex step;
|
||||
|
||||
SliceIndex __nac3_range_slice_len(const SliceIndex start, const SliceIndex end, const SliceIndex step) {
|
||||
SliceIndex diff = end - start;
|
||||
// The length/The number of elements of the slice if it were a range,
|
||||
// i.e., the value of `len(range(this->start, this->stop, this->end))`
|
||||
SliceIndex len() {
|
||||
SliceIndex diff = stop - start;
|
||||
if (diff > 0 && step > 0) {
|
||||
return ((diff - 1) / step) + 1;
|
||||
} else if (diff < 0 && step < 0) {
|
||||
|
@ -24,5 +20,124 @@ SliceIndex __nac3_range_slice_len(const SliceIndex start, const SliceIndex end,
|
|||
} else {
|
||||
return 0;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
namespace slice {
|
||||
// "Resolve" an index value under a length in Python lists.
|
||||
// If you have a `list` of length 100, `list[-1]` would resolve to `list[100-1] == list[99]`.
|
||||
//
|
||||
// If length == 0, this function returns 0
|
||||
//
|
||||
// If index is out of bounds, this function clamps the value
|
||||
// (to `list[0]` or `list[-1]` in the context of a list and depending on if index is + or -)
|
||||
SliceIndex resolve_index_in_length_clamped(SliceIndex length, SliceIndex index) {
|
||||
if (index < 0) {
|
||||
// Remember that index is negative, so do a plus here
|
||||
return max<SliceIndex>(length + index, 0);
|
||||
} else {
|
||||
return min<SliceIndex>(length, index);
|
||||
}
|
||||
}
|
||||
|
||||
const SliceIndex OUT_OF_BOUNDS = -1;
|
||||
|
||||
// Like `resolve_index_in_length`.
|
||||
// But also checks if the resolved index is in
|
||||
// bounds (function returns true) or out of bounds
|
||||
// (function returns false); `0 <= resolved index < length` is false).
|
||||
SliceIndex resolve_index_in_length(SliceIndex length, SliceIndex index) {
|
||||
SliceIndex resolved = index < 0 ? length + index : index;
|
||||
|
||||
bool in_bounds = 0 <= resolved && resolved < length;
|
||||
return in_bounds ? resolved : OUT_OF_BOUNDS;
|
||||
}
|
||||
}
|
||||
|
||||
// A user-written Python-like slice.
|
||||
//
|
||||
// i.e., this slice is a triple of either an int or nothing. (e.g., `my_array[:10:2]`, `start` is None)
|
||||
//
|
||||
// You can "resolve" a `UserSlice` by using `user_slice.indices(<length>)`
|
||||
struct UserSlice {
|
||||
// Did the user specify `start`? If 0, `start` is undefined (and contains an empty value)
|
||||
bool start_defined;
|
||||
SliceIndex start;
|
||||
|
||||
// Similar to `start_defined`
|
||||
bool stop_defined;
|
||||
SliceIndex stop;
|
||||
|
||||
// Similar to `start_defined`
|
||||
bool step_defined;
|
||||
SliceIndex step;
|
||||
|
||||
// Convenient constructor for C++ internal use only (say testing)
|
||||
UserSlice() {
|
||||
this->reset();
|
||||
}
|
||||
|
||||
void reset() {
|
||||
this->start_defined = false;
|
||||
this->stop_defined = false;
|
||||
this->step_defined = false;
|
||||
}
|
||||
|
||||
void set_start(SliceIndex start) {
|
||||
this->start_defined = true;
|
||||
this->start = start;
|
||||
}
|
||||
|
||||
void set_stop(SliceIndex stop) {
|
||||
this->stop_defined = true;
|
||||
this->stop = stop;
|
||||
}
|
||||
|
||||
void set_step(SliceIndex step) {
|
||||
this->step_defined = true;
|
||||
this->step = step;
|
||||
}
|
||||
|
||||
// Like Python's `slice(start, stop, step).indices(length)`
|
||||
void indices(SliceIndex length, Slice* result) {
|
||||
// NOTE: This function implements Python's `slice.indices` *FAITHFULLY*.
|
||||
// SEE: https://github.com/python/cpython/blob/f62161837e68c1c77961435f1b954412dd5c2b65/Objects/sliceobject.c#L546
|
||||
result->step = step_defined ? step : 1;
|
||||
bool step_is_negative = result->step < 0;
|
||||
|
||||
if (start_defined) {
|
||||
result->start = slice::resolve_index_in_length_clamped(length, start);
|
||||
} else {
|
||||
result->start = step_is_negative ? length - 1 : 0;
|
||||
}
|
||||
|
||||
if (stop_defined) {
|
||||
result->stop = slice::resolve_index_in_length_clamped(length, stop);
|
||||
} else {
|
||||
result->stop = step_is_negative ? -1 : length;
|
||||
}
|
||||
}
|
||||
|
||||
// `indices()` but asserts `this->step != 0` and `this->length >= 0`
|
||||
void indices_checked(ErrorContext* errctx, SliceIndex length, Slice* result) {
|
||||
if (length < 0) {
|
||||
errctx->set_error(
|
||||
errctx->error_ids->value_error,
|
||||
"length should not be negative, got {0}", // Edited. Error message copied from python by doing `slice(0, 0, 0).indices(100)`
|
||||
length
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
if (this->step_defined && this->step == 0) {
|
||||
// Error message
|
||||
errctx->set_error(
|
||||
errctx->error_ids->value_error,
|
||||
"slice step cannot be zero" // Error message copied from python by doing `slice(0, 0, 0).indices(100)`
|
||||
);
|
||||
return;
|
||||
}
|
||||
this->indices(length, result);
|
||||
}
|
||||
};
|
||||
}
|
||||
} // namespace
|
|
@ -0,0 +1,78 @@
|
|||
#pragma once
|
||||
|
||||
#include <irrt/int_defs.hpp>
|
||||
|
||||
namespace {
|
||||
template <typename T>
|
||||
const T& max(const T& a, const T& b) {
|
||||
return a > b ? a : b;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
const T& min(const T& a, const T& b) {
|
||||
return a > b ? b : a;
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
bool arrays_match(int len, T* as, T* bs) {
|
||||
for (int i = 0; i < len; i++) {
|
||||
if (as[i] != bs[i]) return false;
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
namespace cstr_utils {
|
||||
bool is_empty(const char* str) {
|
||||
return str[0] == '\0';
|
||||
}
|
||||
|
||||
int8_t compare(const char* a, const char* b) {
|
||||
uint32_t i = 0;
|
||||
while (true) {
|
||||
if (a[i] < b[i]) {
|
||||
return -1;
|
||||
} else if (a[i] > b[i]) {
|
||||
return 1;
|
||||
} else { // a[i] == b[i]
|
||||
if (a[i] == '\0') {
|
||||
return 0;
|
||||
} else {
|
||||
i++;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
int8_t equal(const char* a, const char* b) {
|
||||
return compare(a, b) == 0;
|
||||
}
|
||||
|
||||
uint32_t length(const char* str) {
|
||||
uint32_t length = 0;
|
||||
while (*str != '\0') {
|
||||
length++;
|
||||
str++;
|
||||
}
|
||||
return length;
|
||||
}
|
||||
|
||||
bool copy(const char* src, char* dst, uint32_t dst_max_size) {
|
||||
for (uint32_t i = 0; i < dst_max_size; i++) {
|
||||
bool is_last = i + 1 == dst_max_size;
|
||||
if (is_last && src[i] != '\0') {
|
||||
dst[i] = '\0';
|
||||
return false;
|
||||
}
|
||||
|
||||
if (src[i] == '\0') {
|
||||
dst[i] = '\0';
|
||||
return true;
|
||||
}
|
||||
|
||||
dst[i] = src[i];
|
||||
}
|
||||
|
||||
__builtin_unreachable();
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,12 @@
|
|||
#pragma once
|
||||
|
||||
#include <irrt/core.hpp>
|
||||
#include <irrt/error_context.hpp>
|
||||
#include <irrt/int_defs.hpp>
|
||||
#include <irrt/numpy/ndarray_basic.hpp>
|
||||
#include <irrt/numpy/ndarray_broadcast.hpp>
|
||||
#include <irrt/numpy/ndarray_def.hpp>
|
||||
#include <irrt/numpy/ndarray_fill.hpp>
|
||||
#include <irrt/numpy/ndarray_subscript.hpp>
|
||||
#include <irrt/slice.hpp>
|
||||
#include <irrt/utils.hpp>
|
|
@ -0,0 +1,25 @@
|
|||
// This file will be compiled like a real C++ program,
|
||||
// and we do have the luxury to use the standard libraries.
|
||||
// That is if the nix flakes do not have issues... especially on msys2...
|
||||
#include <cstdint>
|
||||
#include <cstdio>
|
||||
#include <cstdlib>
|
||||
|
||||
#include <irrt_everything.hpp>
|
||||
|
||||
#include <test/core.hpp>
|
||||
#include <test/test_core.hpp>
|
||||
#include <test/test_ndarray_basic.hpp>
|
||||
#include <test/test_ndarray_subscript.hpp>
|
||||
#include <test/test_ndarray_broadcast.hpp>
|
||||
#include <test/test_slice.hpp>
|
||||
|
||||
int main() {
|
||||
// Be wise about the order of suites!!
|
||||
test::core::run();
|
||||
test::slice::run();
|
||||
test::ndarray_basic::run();
|
||||
test::ndarray_subscript::run();
|
||||
test::ndarray_broadcast::run();
|
||||
return 0;
|
||||
}
|
|
@ -0,0 +1,143 @@
|
|||
#pragma once
|
||||
|
||||
// Include this header for every test_*.cpp
|
||||
|
||||
#include <cstdint>
|
||||
#include <cstdio>
|
||||
#include <cstdlib>
|
||||
|
||||
#include <test/print.hpp>
|
||||
|
||||
// Some utils can be used here
|
||||
#include <irrt/utils.hpp>
|
||||
|
||||
void __begin_test(const char* function_name, const char* file, int line) {
|
||||
printf("######### Running %s @ %s:%d\n", function_name, file, line);
|
||||
}
|
||||
|
||||
#define BEGIN_TEST() __begin_test(__FUNCTION__, __FILE__, __LINE__)
|
||||
|
||||
void test_fail() {
|
||||
printf("[!] Test failed. Exiting with status code 1.\n");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
void print_assertion_passed(const char* file, int line) {
|
||||
printf("[*] Assertion passed on %s:%d\n", file, line);
|
||||
}
|
||||
|
||||
void print_assertion_failed(const char* file, int line) {
|
||||
printf("[!] Assertion failed on %s:%d\n", file, line);
|
||||
}
|
||||
|
||||
void __assert_true(const char* file, int line, bool cond) {
|
||||
if (cond) {
|
||||
print_assertion_passed(file, line);
|
||||
} else {
|
||||
print_assertion_failed(file, line);
|
||||
test_fail();
|
||||
}
|
||||
}
|
||||
|
||||
#define assert_true(cond) __assert_true(__FILE__, __LINE__, cond)
|
||||
|
||||
template <typename T>
|
||||
void __assert_arrays_match(const char* file, int line, int len, const T* expected, const T* got) {
|
||||
if (arrays_match(len, expected, got)) {
|
||||
print_assertion_passed(file, line);
|
||||
} else {
|
||||
print_assertion_failed(file, line);
|
||||
printf("Expect = ");
|
||||
print_array(len, expected);
|
||||
printf("\n");
|
||||
printf(" Got = ");
|
||||
print_array(len, got);
|
||||
printf("\n");
|
||||
test_fail();
|
||||
}
|
||||
}
|
||||
|
||||
#define assert_arrays_match(len, expected, got) __assert_arrays_match(__FILE__, __LINE__, len, expected, got)
|
||||
|
||||
template <typename T>
|
||||
void __assert_values_match(const char* file, int line, T expected, T got) {
|
||||
if (expected == got) {
|
||||
print_assertion_passed(file, line);
|
||||
} else {
|
||||
print_assertion_failed(file, line);
|
||||
printf("Expect = ");
|
||||
print_value(expected);
|
||||
printf("\n");
|
||||
printf(" Got = ");
|
||||
print_value(got);
|
||||
printf("\n");
|
||||
test_fail();
|
||||
}
|
||||
}
|
||||
|
||||
#define assert_values_match(expected, got) __assert_values_match(__FILE__, __LINE__, expected, got)
|
||||
|
||||
// A fake set of ErrorIds for testing only
|
||||
const ErrorIds TEST_ERROR_IDS = {
|
||||
.index_error = 0,
|
||||
.value_error = 1,
|
||||
.assertion_error = 2,
|
||||
.runtime_error = 3,
|
||||
};
|
||||
|
||||
ErrorContext create_testing_errctx() {
|
||||
// Everything is global so it is fine to directly return a struct ErrorContext
|
||||
ErrorContext errctx;
|
||||
errctx.initialize(&TEST_ERROR_IDS);
|
||||
return errctx;
|
||||
}
|
||||
|
||||
void print_errctx_content(ErrorContext* errctx) {
|
||||
if (errctx->has_error()) {
|
||||
printf(
|
||||
"(Error ID %d): %s ... where param1 = %ld, param2 = %ld, param3 = %ld\n",
|
||||
errctx->error_id,
|
||||
errctx->message_template,
|
||||
errctx->param1,
|
||||
errctx->param2,
|
||||
errctx->param3
|
||||
);
|
||||
} else {
|
||||
printf("<no error>\n");
|
||||
}
|
||||
}
|
||||
|
||||
void __assert_errctx_no_error(const char* file, int line, ErrorContext* errctx) {
|
||||
if (errctx->has_error()) {
|
||||
print_assertion_failed(file, line);
|
||||
printf("Expecting no error but caught the following:\n\n");
|
||||
print_errctx_content(errctx);
|
||||
test_fail();
|
||||
}
|
||||
}
|
||||
|
||||
#define assert_errctx_no_error(errctx) __assert_errctx_no_error(__FILE__, __LINE__, errctx)
|
||||
|
||||
void __assert_errctx_has_error(const char* file, int line, ErrorContext* errctx, ErrorId expected_error_id) {
|
||||
if (errctx->has_error()) {
|
||||
if (errctx->error_id == expected_error_id) {
|
||||
// OK
|
||||
} else {
|
||||
// Otherwise it got the wrong kind of error
|
||||
print_assertion_failed(file, line);
|
||||
printf(
|
||||
"Expecting error id %d but got error id %d. Error caught:\n\n",
|
||||
expected_error_id,
|
||||
errctx->error_id
|
||||
);
|
||||
print_errctx_content(errctx);
|
||||
test_fail();
|
||||
}
|
||||
} else {
|
||||
print_assertion_failed(file, line);
|
||||
printf("Expecting an error, but there is none.");
|
||||
test_fail();
|
||||
}
|
||||
}
|
||||
|
||||
#define assert_errctx_has_error(errctx, expected_error_id) __assert_errctx_has_error(__FILE__, __LINE__, errctx, expected_error_id)
|
|
@ -0,0 +1,118 @@
|
|||
#pragma once
|
||||
|
||||
#include <cstdlib>
|
||||
#include <cstdio>
|
||||
|
||||
template <class T>
|
||||
void print_value(const T& value);
|
||||
|
||||
template <>
|
||||
void print_value(const bool& value) {
|
||||
printf("%s", value ? "true" : "false");
|
||||
}
|
||||
|
||||
template <>
|
||||
void print_value(const int8_t& value) {
|
||||
printf("%d", value);
|
||||
}
|
||||
|
||||
template <>
|
||||
void print_value(const int32_t& value) {
|
||||
printf("%d", value);
|
||||
}
|
||||
|
||||
template <>
|
||||
void print_value(const uint8_t& value) {
|
||||
printf("%u", value);
|
||||
}
|
||||
|
||||
template <>
|
||||
void print_value(const uint32_t& value) {
|
||||
printf("%u", value);
|
||||
}
|
||||
|
||||
template <>
|
||||
void print_value(const float& value) {
|
||||
printf("%f", value);
|
||||
}
|
||||
|
||||
template <>
|
||||
void print_value(const double& value) {
|
||||
printf("%f", value);
|
||||
}
|
||||
|
||||
void print_repeated(const char *str, int count) {
|
||||
for (int i = 0; i < count; i++) {
|
||||
printf("%s", str);
|
||||
}
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
void print_array(int len, const T* as) {
|
||||
printf("[");
|
||||
for (int i = 0; i < len; i++) {
|
||||
if (i != 0) printf(", ");
|
||||
print_value(as[i]);
|
||||
}
|
||||
printf("]");
|
||||
}
|
||||
|
||||
template<typename ElementT, typename SizeT>
|
||||
void __print_ndarray_aux(bool first, bool last, SizeT* cursor, SizeT depth, NDArray<SizeT>* ndarray) {
|
||||
// A really lazy recursive implementation
|
||||
|
||||
// Add left padding unless its the first entry (since there would be "[[[" before it)
|
||||
if (!first) {
|
||||
print_repeated(" ", depth);
|
||||
}
|
||||
|
||||
const SizeT dim = ndarray->shape[depth];
|
||||
if (depth + 1 == ndarray->ndims) {
|
||||
// Recursed down to last dimension, print the values in a nice list
|
||||
printf("[");
|
||||
|
||||
SizeT* indices = (SizeT*) __builtin_alloca(sizeof(SizeT) * ndarray->ndims);
|
||||
for (SizeT i = 0; i < dim; i++) {
|
||||
ndarray::basic::util::set_indices_by_nth(ndarray->ndims, ndarray->shape, indices, *cursor);
|
||||
ElementT* pelement = (ElementT*) ndarray::basic::get_pelement_by_indices<SizeT>(ndarray, indices);
|
||||
ElementT element = *pelement;
|
||||
|
||||
if (i != 0) printf(", "); // List delimiter
|
||||
print_value(element);
|
||||
printf("(@");
|
||||
print_array(ndarray->ndims, indices);
|
||||
printf(")");
|
||||
|
||||
(*cursor)++;
|
||||
}
|
||||
printf("]");
|
||||
} else {
|
||||
printf("[");
|
||||
for (SizeT i = 0; i < ndarray->shape[depth]; i++) {
|
||||
__print_ndarray_aux<ElementT, SizeT>(
|
||||
i == 0, // first?
|
||||
i + 1 == dim, // last?
|
||||
cursor,
|
||||
depth + 1,
|
||||
ndarray
|
||||
);
|
||||
}
|
||||
printf("]");
|
||||
}
|
||||
|
||||
// Add newline unless its the last entry (since there will be "]]]" after it)
|
||||
if (!last) {
|
||||
print_repeated("\n", depth);
|
||||
}
|
||||
}
|
||||
|
||||
template <typename ElementT, typename SizeT>
|
||||
void print_ndarray(NDArray<SizeT>* ndarray) {
|
||||
if (ndarray->ndims == 0) {
|
||||
printf("<empty ndarray>");
|
||||
} else {
|
||||
SizeT cursor = 0;
|
||||
__print_ndarray_aux<ElementT, SizeT>(true, true, &cursor, 0, ndarray);
|
||||
}
|
||||
printf("\n");
|
||||
}
|
|
@ -0,0 +1,19 @@
|
|||
#pragma once
|
||||
|
||||
#include <test/core.hpp>
|
||||
#include <irrt_everything.hpp>
|
||||
|
||||
namespace test {
|
||||
namespace core {
|
||||
void test_int_exp() {
|
||||
BEGIN_TEST();
|
||||
|
||||
assert_values_match(125, __nac3_int_exp_impl<int32_t>(5, 3));
|
||||
assert_values_match(3125, __nac3_int_exp_impl<int32_t>(5, 5));
|
||||
}
|
||||
|
||||
void run() {
|
||||
test_int_exp();
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,47 @@
|
|||
#pragma once
|
||||
|
||||
#include <test/core.hpp>
|
||||
#include <irrt_everything.hpp>
|
||||
|
||||
namespace test {
|
||||
namespace ndarray_basic {
|
||||
void test_calc_size_from_shape_normal() {
|
||||
// Test shapes with normal values
|
||||
BEGIN_TEST();
|
||||
|
||||
int32_t shape[4] = { 2, 3, 5, 7 };
|
||||
assert_values_match(210, ndarray::basic::util::calc_size_from_shape<int32_t>(4, shape));
|
||||
}
|
||||
|
||||
void test_calc_size_from_shape_has_zero() {
|
||||
// Test shapes with 0 in them
|
||||
BEGIN_TEST();
|
||||
|
||||
int32_t shape[4] = { 2, 0, 5, 7 };
|
||||
assert_values_match(0, ndarray::basic::util::calc_size_from_shape<int32_t>(4, shape));
|
||||
}
|
||||
|
||||
void test_set_strides_by_shape() {
|
||||
// Test `set_strides_by_shape()`
|
||||
BEGIN_TEST();
|
||||
|
||||
int32_t shape[4] = { 99, 3, 5, 7 };
|
||||
int32_t strides[4] = { 0 };
|
||||
ndarray::basic::util::set_strides_by_shape((int32_t) sizeof(int32_t), 4, strides, shape);
|
||||
|
||||
int32_t expected_strides[4] = {
|
||||
105 * sizeof(int32_t),
|
||||
35 * sizeof(int32_t),
|
||||
7 * sizeof(int32_t),
|
||||
1 * sizeof(int32_t)
|
||||
};
|
||||
assert_arrays_match(4, expected_strides, strides);
|
||||
}
|
||||
|
||||
void run() {
|
||||
test_calc_size_from_shape_normal();
|
||||
test_calc_size_from_shape_has_zero();
|
||||
test_set_strides_by_shape();
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,72 @@
|
|||
#pragma once
|
||||
|
||||
#include <test/core.hpp>
|
||||
#include <irrt_everything.hpp>
|
||||
|
||||
namespace test { namespace ndarray_broadcast {
|
||||
void test_ndarray_broadcast_1() {
|
||||
/*
|
||||
```python
|
||||
array = np.array([[19.9, 29.9, 39.9, 49.9]], dtype=np.float64)
|
||||
>>> [[19.9 29.9 39.9 49.9]]
|
||||
|
||||
array = np.broadcast_to(array, (2, 3, 4))
|
||||
>>> [[[19.9 29.9 39.9 49.9]
|
||||
>>> [19.9 29.9 39.9 49.9]
|
||||
>>> [19.9 29.9 39.9 49.9]]
|
||||
>>> [[19.9 29.9 39.9 49.9]
|
||||
>>> [19.9 29.9 39.9 49.9]
|
||||
>>> [19.9 29.9 39.9 49.9]]]
|
||||
|
||||
assert array.strides == (0, 0, 8)
|
||||
# and then pick some values in `array` and check them...
|
||||
```
|
||||
*/
|
||||
BEGIN_TEST();
|
||||
|
||||
// Prepare src_ndarray
|
||||
double src_data[4] = { 19.9, 29.9, 39.9, 49.9 };
|
||||
const int32_t src_ndims = 2;
|
||||
int32_t src_shape[src_ndims] = {1, 4};
|
||||
int32_t src_strides[src_ndims] = {};
|
||||
NDArray<int32_t> src_ndarray = {
|
||||
.data = (uint8_t*) src_data,
|
||||
.itemsize = sizeof(double),
|
||||
.ndims = src_ndims,
|
||||
.shape = src_shape,
|
||||
.strides = src_strides
|
||||
};
|
||||
ndarray::basic::set_strides_by_shape(&src_ndarray);
|
||||
|
||||
// Prepare dst_ndarray
|
||||
const int32_t dst_ndims = 3;
|
||||
int32_t dst_shape[dst_ndims] = {2, 3, 4};
|
||||
int32_t dst_strides[dst_ndims] = {};
|
||||
NDArray<int32_t> dst_ndarray = {
|
||||
.ndims = dst_ndims,
|
||||
.shape = dst_shape,
|
||||
.strides = dst_strides
|
||||
};
|
||||
|
||||
// Broadcast
|
||||
ErrorContext errctx = create_testing_errctx();
|
||||
ndarray::broadcast::broadcast_to(&errctx, &src_ndarray, &dst_ndarray);
|
||||
assert_errctx_no_error(&errctx);
|
||||
|
||||
assert_arrays_match(dst_ndims, ((int32_t[]) { 0, 0, 8 }), dst_ndarray.strides);
|
||||
|
||||
assert_values_match(19.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {0, 0, 0}))));
|
||||
assert_values_match(29.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {0, 0, 1}))));
|
||||
assert_values_match(39.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {0, 0, 2}))));
|
||||
assert_values_match(49.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {0, 0, 3}))));
|
||||
assert_values_match(19.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {0, 1, 0}))));
|
||||
assert_values_match(29.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {0, 1, 1}))));
|
||||
assert_values_match(39.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {0, 1, 2}))));
|
||||
assert_values_match(49.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {0, 1, 3}))));
|
||||
assert_values_match(49.9, *((double*) ndarray::basic::get_pelement_by_indices(&dst_ndarray, ((int32_t[]) {1, 2, 3}))));
|
||||
}
|
||||
|
||||
void run() {
|
||||
test_ndarray_broadcast_1();
|
||||
}
|
||||
}}
|
|
@ -0,0 +1,233 @@
|
|||
#pragma once
|
||||
|
||||
#include <test/core.hpp>
|
||||
#include <irrt_everything.hpp>
|
||||
|
||||
namespace test { namespace ndarray_subscript {
|
||||
void test_ndsubscript_normal_1() {
|
||||
/*
|
||||
Reference Python code:
|
||||
```python
|
||||
ndarray = np.arange(12, dtype=np.float64).reshape((3, 4));
|
||||
# array([[ 0., 1., 2., 3.],
|
||||
# [ 4., 5., 6., 7.],
|
||||
# [ 8., 9., 10., 11.]])
|
||||
|
||||
dst_ndarray = ndarray[-2:, 1::2]
|
||||
# array([[ 5., 7.],
|
||||
# [ 9., 11.]])
|
||||
|
||||
assert dst_ndarray.shape == (2, 2)
|
||||
assert dst_ndarray.strides == (32, 16)
|
||||
assert dst_ndarray[0, 0] == 5.0
|
||||
assert dst_ndarray[0, 1] == 7.0
|
||||
assert dst_ndarray[1, 0] == 9.0
|
||||
assert dst_ndarray[1, 1] == 11.0
|
||||
```
|
||||
*/
|
||||
BEGIN_TEST();
|
||||
|
||||
// Prepare src_ndarray
|
||||
double src_data[12] = { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0 };
|
||||
int32_t src_itemsize = sizeof(double);
|
||||
const int32_t src_ndims = 2;
|
||||
int32_t src_shape[src_ndims] = { 3, 4 };
|
||||
int32_t src_strides[src_ndims] = {};
|
||||
NDArray<int32_t> src_ndarray = {
|
||||
.data = (uint8_t*) src_data,
|
||||
.itemsize = src_itemsize,
|
||||
.ndims = src_ndims,
|
||||
.shape = src_shape,
|
||||
.strides = src_strides
|
||||
};
|
||||
ndarray::basic::set_strides_by_shape(&src_ndarray);
|
||||
|
||||
// Prepare dst_ndarray
|
||||
const int32_t dst_ndims = 2;
|
||||
int32_t dst_shape[dst_ndims] = {999, 999}; // Empty values
|
||||
int32_t dst_strides[dst_ndims] = {999, 999}; // Empty values
|
||||
NDArray<int32_t> dst_ndarray = {
|
||||
.data = nullptr,
|
||||
.ndims = dst_ndims,
|
||||
.shape = dst_shape,
|
||||
.strides = dst_strides
|
||||
};
|
||||
|
||||
// Create the subscripts in `ndarray[-2::, 1::2]`
|
||||
UserSlice subscript_1;
|
||||
subscript_1.set_start(-2);
|
||||
|
||||
UserSlice subscript_2;
|
||||
subscript_2.set_start(1);
|
||||
subscript_2.set_step(2);
|
||||
|
||||
const int32_t num_ndsubscripts = 2;
|
||||
NDSubscript ndsubscripts[num_ndsubscripts] = {
|
||||
{ .type = INPUT_SUBSCRIPT_TYPE_SLICE, .data = (uint8_t*) &subscript_1 },
|
||||
{ .type = INPUT_SUBSCRIPT_TYPE_SLICE, .data = (uint8_t*) &subscript_2 }
|
||||
};
|
||||
|
||||
ErrorContext errctx = create_testing_errctx();
|
||||
ndarray::subscript::subscript(&errctx, num_ndsubscripts, ndsubscripts, &src_ndarray, &dst_ndarray);
|
||||
assert_errctx_no_error(&errctx);
|
||||
|
||||
int32_t expected_shape[dst_ndims] = { 2, 2 };
|
||||
int32_t expected_strides[dst_ndims] = { 32, 16 };
|
||||
|
||||
assert_arrays_match(dst_ndims, expected_shape, dst_ndarray.shape);
|
||||
assert_arrays_match(dst_ndims, expected_strides, dst_ndarray.strides);
|
||||
|
||||
// dst_ndarray[0, 0]
|
||||
assert_values_match(
|
||||
5.0,
|
||||
*((double *) ndarray::basic::get_pelement_by_indices(&dst_ndarray, (int32_t[dst_ndims]) { 0, 0 }))
|
||||
);
|
||||
// dst_ndarray[0, 1]
|
||||
assert_values_match(
|
||||
7.0,
|
||||
*((double *) ndarray::basic::get_pelement_by_indices(&dst_ndarray, (int32_t[dst_ndims]) { 0, 1 }))
|
||||
);
|
||||
// dst_ndarray[1, 0]
|
||||
assert_values_match(
|
||||
9.0,
|
||||
*((double *) ndarray::basic::get_pelement_by_indices(&dst_ndarray, (int32_t[dst_ndims]) { 1, 0 }))
|
||||
);
|
||||
// dst_ndarray[1, 1]
|
||||
assert_values_match(
|
||||
11.0,
|
||||
*((double *) ndarray::basic::get_pelement_by_indices(&dst_ndarray, (int32_t[dst_ndims]) { 1, 1 }))
|
||||
);
|
||||
}
|
||||
|
||||
void test_ndsubscript_normal_2() {
|
||||
/*
|
||||
```python
|
||||
ndarray = np.arange(12, dtype=np.float64).reshape((3, 4))
|
||||
# array([[ 0., 1., 2., 3.],
|
||||
# [ 4., 5., 6., 7.],
|
||||
# [ 8., 9., 10., 11.]])
|
||||
|
||||
dst_ndarray = ndarray[2, ::-2]
|
||||
# array([11., 9.])
|
||||
|
||||
assert dst_ndarray.shape == (2,)
|
||||
assert dst_ndarray.strides == (-16,)
|
||||
assert dst_ndarray[0] == 11.0
|
||||
assert dst_ndarray[1] == 9.0
|
||||
```
|
||||
*/
|
||||
BEGIN_TEST();
|
||||
|
||||
// Prepare src_ndarray
|
||||
double src_data[12] = { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0 };
|
||||
int32_t src_itemsize = sizeof(double);
|
||||
const int32_t src_ndims = 2;
|
||||
int32_t src_shape[src_ndims] = { 3, 4 };
|
||||
int32_t src_strides[src_ndims] = {};
|
||||
NDArray<int32_t> src_ndarray = {
|
||||
.data = (uint8_t*) src_data,
|
||||
.itemsize = src_itemsize,
|
||||
.ndims = src_ndims,
|
||||
.shape = src_shape,
|
||||
.strides = src_strides
|
||||
};
|
||||
ndarray::basic::set_strides_by_shape(&src_ndarray);
|
||||
|
||||
// Prepare dst_ndarray
|
||||
const int32_t dst_ndims = 1;
|
||||
int32_t dst_shape[dst_ndims] = {999}; // Empty values
|
||||
int32_t dst_strides[dst_ndims] = {999}; // Empty values
|
||||
NDArray<int32_t> dst_ndarray = {
|
||||
.data = nullptr,
|
||||
.ndims = dst_ndims,
|
||||
.shape = dst_shape,
|
||||
.strides = dst_strides
|
||||
};
|
||||
|
||||
// Create the subscripts in `ndarray[2, ::-2]`
|
||||
int32_t subscript_1 = 2;
|
||||
|
||||
UserSlice subscript_2;
|
||||
subscript_2.set_step(-2);
|
||||
|
||||
const int32_t num_ndsubscripts = 2;
|
||||
NDSubscript ndsubscripts[num_ndsubscripts] = {
|
||||
{ .type = INPUT_SUBSCRIPT_TYPE_INDEX, .data = (uint8_t*) &subscript_1 },
|
||||
{ .type = INPUT_SUBSCRIPT_TYPE_SLICE, .data = (uint8_t*) &subscript_2 }
|
||||
};
|
||||
|
||||
ErrorContext errctx = create_testing_errctx();
|
||||
ndarray::subscript::subscript(&errctx, num_ndsubscripts, ndsubscripts, &src_ndarray, &dst_ndarray);
|
||||
assert_errctx_no_error(&errctx);
|
||||
|
||||
int32_t expected_shape[dst_ndims] = { 2 };
|
||||
int32_t expected_strides[dst_ndims] = { -16 };
|
||||
assert_arrays_match(dst_ndims, expected_shape, dst_ndarray.shape);
|
||||
assert_arrays_match(dst_ndims, expected_strides, dst_ndarray.strides);
|
||||
|
||||
assert_values_match(
|
||||
11.0,
|
||||
*((double *) ndarray::basic::get_pelement_by_indices(&dst_ndarray, (int32_t[dst_ndims]) { 0 }))
|
||||
);
|
||||
assert_values_match(
|
||||
9.0,
|
||||
*((double *) ndarray::basic::get_pelement_by_indices(&dst_ndarray, (int32_t[dst_ndims]) { 1 }))
|
||||
);
|
||||
}
|
||||
|
||||
void test_ndsubscript_index_subscript_out_of_bounds() {
|
||||
/*
|
||||
# Consider `my_array`
|
||||
|
||||
print(my_array.shape)
|
||||
# (4, 5, 6)
|
||||
|
||||
my_array[2, 100] # error, index subscript at axis 1 is out of bounds
|
||||
*/
|
||||
BEGIN_TEST();
|
||||
|
||||
// Prepare src_ndarray
|
||||
const int32_t src_ndims = 2;
|
||||
int32_t src_shape[src_ndims] = { 3, 4 };
|
||||
int32_t src_strides[src_ndims] = {};
|
||||
NDArray<int32_t> src_ndarray = {
|
||||
.data = (uint8_t*) nullptr, // placeholder, we wouldn't access it
|
||||
.itemsize = sizeof(double), // placeholder
|
||||
.ndims = src_ndims,
|
||||
.shape = src_shape,
|
||||
.strides = src_strides
|
||||
};
|
||||
ndarray::basic::set_strides_by_shape(&src_ndarray);
|
||||
|
||||
// Create the subscripts in `my_array[2, 100]`
|
||||
int32_t subscript_1 = 2;
|
||||
int32_t subscript_2 = 100;
|
||||
|
||||
const int32_t num_ndsubscripts = 2;
|
||||
NDSubscript ndsubscripts[num_ndsubscripts] = {
|
||||
{ .type = INPUT_SUBSCRIPT_TYPE_INDEX, .data = (uint8_t*) &subscript_1 },
|
||||
{ .type = INPUT_SUBSCRIPT_TYPE_INDEX, .data = (uint8_t*) &subscript_2 }
|
||||
};
|
||||
|
||||
// Prepare dst_ndarray
|
||||
const int32_t dst_ndims = 0;
|
||||
int32_t dst_shape[dst_ndims] = {};
|
||||
int32_t dst_strides[dst_ndims] = {};
|
||||
NDArray<int32_t> dst_ndarray = {
|
||||
.data = nullptr, // placehloder
|
||||
.ndims = dst_ndims,
|
||||
.shape = dst_shape,
|
||||
.strides = dst_strides
|
||||
};
|
||||
|
||||
ErrorContext errctx = create_testing_errctx();
|
||||
ndarray::subscript::subscript(&errctx, num_ndsubscripts, ndsubscripts, &src_ndarray, &dst_ndarray);
|
||||
assert_errctx_has_error(&errctx, errctx.error_ids->index_error);
|
||||
}
|
||||
|
||||
void run() {
|
||||
test_ndsubscript_normal_1();
|
||||
test_ndsubscript_normal_2();
|
||||
test_ndsubscript_index_subscript_out_of_bounds();
|
||||
}
|
||||
} }
|
|
@ -0,0 +1,96 @@
|
|||
#pragma once
|
||||
|
||||
#include <test/core.hpp>
|
||||
#include <irrt_everything.hpp>
|
||||
|
||||
namespace test {
|
||||
namespace slice {
|
||||
void test_slice_normal() {
|
||||
// Normal situation
|
||||
BEGIN_TEST();
|
||||
|
||||
UserSlice user_slice;
|
||||
user_slice.set_stop(5);
|
||||
|
||||
Slice slice;
|
||||
user_slice.indices(100, &slice);
|
||||
|
||||
printf("%d, %d, %d\n", slice.start, slice.stop, slice.step);
|
||||
|
||||
assert_values_match(0, slice.start);
|
||||
assert_values_match(5, slice.stop);
|
||||
assert_values_match(1, slice.step);
|
||||
}
|
||||
|
||||
void test_slice_start_too_large() {
|
||||
// Start is too large and should be clamped to length
|
||||
BEGIN_TEST();
|
||||
|
||||
UserSlice user_slice;
|
||||
user_slice.set_start(400);
|
||||
|
||||
Slice slice;
|
||||
user_slice.indices(100, &slice);
|
||||
|
||||
assert_values_match(100, slice.start);
|
||||
assert_values_match(100, slice.stop);
|
||||
assert_values_match(1, slice.step);
|
||||
}
|
||||
|
||||
void test_slice_negative_start_stop() {
|
||||
// Negative start/stop should be resolved
|
||||
BEGIN_TEST();
|
||||
|
||||
UserSlice user_slice;
|
||||
user_slice.set_start(-10);
|
||||
user_slice.set_stop(-5);
|
||||
|
||||
Slice slice;
|
||||
user_slice.indices(100, &slice);
|
||||
|
||||
assert_values_match(90, slice.start);
|
||||
assert_values_match(95, slice.stop);
|
||||
assert_values_match(1, slice.step);
|
||||
}
|
||||
|
||||
void test_slice_only_negative_step() {
|
||||
// Things like `[::-5]` should be handled correctly
|
||||
BEGIN_TEST();
|
||||
|
||||
UserSlice user_slice;
|
||||
user_slice.set_step(-5);
|
||||
|
||||
Slice slice;
|
||||
user_slice.indices(100, &slice);
|
||||
|
||||
assert_values_match(99, slice.start);
|
||||
assert_values_match(-1, slice.stop);
|
||||
assert_values_match(-5, slice.step);
|
||||
}
|
||||
|
||||
void test_slice_step_zero() {
|
||||
// Step = 0 is a value error
|
||||
BEGIN_TEST();
|
||||
|
||||
ErrorContext errctx = create_testing_errctx();
|
||||
|
||||
UserSlice user_slice;
|
||||
user_slice.set_start(2);
|
||||
user_slice.set_stop(12);
|
||||
user_slice.set_step(0);
|
||||
|
||||
Slice slice;
|
||||
user_slice.indices_checked(&errctx, 100, &slice);
|
||||
|
||||
assert_errctx_has_error(&errctx, errctx.error_ids->value_error);
|
||||
}
|
||||
|
||||
void run() {
|
||||
test_slice_normal();
|
||||
test_slice_start_too_large();
|
||||
test_slice_negative_start_stop();
|
||||
test_slice_only_negative_step();
|
||||
test_slice_step_zero();
|
||||
}
|
||||
}
|
||||
}
|
|
@ -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");
|
||||
}
|
|
@ -1,106 +1,26 @@
|
|||
use inkwell::{
|
||||
types::BasicTypeEnum,
|
||||
values::{BasicValue, BasicValueEnum, IntValue, PointerValue},
|
||||
FloatPredicate, IntPredicate, OptimizationLevel,
|
||||
};
|
||||
use inkwell::types::BasicTypeEnum;
|
||||
use inkwell::values::BasicValueEnum;
|
||||
use inkwell::{FloatPredicate, IntPredicate, OptimizationLevel};
|
||||
use itertools::Itertools;
|
||||
|
||||
use super::{
|
||||
expr::destructure_range,
|
||||
extern_fns, irrt,
|
||||
irrt::calculate_len_for_slice_range,
|
||||
llvm_intrinsics,
|
||||
macros::codegen_unreachable,
|
||||
numpy,
|
||||
numpy::ndarray_elementwise_unaryop_impl,
|
||||
stmt::gen_for_callback_incrementing,
|
||||
values::{
|
||||
ArrayLikeValue, NDArrayValue, ProxyValue, RangeValue, TypedArrayLikeAccessor,
|
||||
UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
use crate::{
|
||||
toplevel::{
|
||||
helper::{arraylike_flatten_element_type, PrimDef},
|
||||
numpy::unpack_ndarray_var_tys,
|
||||
},
|
||||
typecheck::typedef::{Type, TypeEnum},
|
||||
};
|
||||
use crate::codegen::classes::{NDArrayValue, ProxyValue, UntypedArrayLikeAccessor};
|
||||
use crate::codegen::numpy::ndarray_elementwise_unaryop_impl;
|
||||
use crate::codegen::stmt::gen_for_callback_incrementing;
|
||||
use crate::codegen::{extern_fns, irrt, llvm_intrinsics, numpy, CodeGenContext, CodeGenerator};
|
||||
use crate::toplevel::helper::PrimDef;
|
||||
use crate::toplevel::numpy::unpack_ndarray_var_tys;
|
||||
use crate::typecheck::typedef::Type;
|
||||
|
||||
/// Shorthand for [`unreachable!()`] when a type of argument is not supported.
|
||||
///
|
||||
/// The generated message will contain the function name and the name of the unsupported type.
|
||||
fn unsupported_type(ctx: &CodeGenContext<'_, '_>, fn_name: &str, tys: &[Type]) -> ! {
|
||||
codegen_unreachable!(
|
||||
ctx,
|
||||
unreachable!(
|
||||
"{fn_name}() not supported for '{}'",
|
||||
tys.iter().map(|ty| format!("'{}'", ctx.unifier.stringify(*ty))).join(", "),
|
||||
)
|
||||
}
|
||||
|
||||
/// Invokes the `len` builtin function.
|
||||
pub fn call_len<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
n: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<IntValue<'ctx>, String> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let range_ty = ctx.primitives.range;
|
||||
let (arg_ty, arg) = n;
|
||||
|
||||
Ok(if ctx.unifier.unioned(arg_ty, range_ty) {
|
||||
let arg = RangeValue::from_pointer_value(arg.into_pointer_value(), Some("range"));
|
||||
let (start, end, step) = destructure_range(ctx, arg);
|
||||
calculate_len_for_slice_range(generator, ctx, start, end, step)
|
||||
} else {
|
||||
match &*ctx.unifier.get_ty_immutable(arg_ty) {
|
||||
TypeEnum::TTuple { ty, .. } => llvm_i32.const_int(ty.len() as u64, false),
|
||||
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::List.id() => {
|
||||
let zero = llvm_i32.const_zero();
|
||||
let len = ctx
|
||||
.build_gep_and_load(
|
||||
arg.into_pointer_value(),
|
||||
&[zero, llvm_i32.const_int(1, false)],
|
||||
None,
|
||||
)
|
||||
.into_int_value();
|
||||
ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
|
||||
}
|
||||
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
|
||||
let elem_ty = arraylike_flatten_element_type(&mut ctx.unifier, arg_ty);
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let arg = NDArrayValue::from_pointer_value(
|
||||
arg.into_pointer_value(),
|
||||
ctx.get_llvm_type(generator, elem_ty),
|
||||
llvm_usize,
|
||||
None,
|
||||
);
|
||||
|
||||
let ndims = arg.shape().size(ctx, generator);
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
ctx.builder
|
||||
.build_int_compare(IntPredicate::NE, ndims, llvm_usize.const_zero(), "")
|
||||
.unwrap(),
|
||||
"0:TypeError",
|
||||
"len() of unsized object",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
let len = unsafe {
|
||||
arg.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
};
|
||||
|
||||
ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
|
||||
}
|
||||
_ => codegen_unreachable!(ctx),
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
/// Invokes the `int32` builtin function.
|
||||
pub fn call_int32<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
|
@ -111,6 +31,7 @@ pub fn call_int32<'ctx, G: CodeGenerator + ?Sized>(
|
|||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let (n_ty, n) = n;
|
||||
|
||||
Ok(match n {
|
||||
BasicValueEnum::IntValue(n) if matches!(n.get_type().get_bit_width(), 1 | 8) => {
|
||||
debug_assert!(ctx.unifier.unioned(n_ty, ctx.primitives.bool));
|
||||
|
@ -146,14 +67,13 @@ pub fn call_int32<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ctx.primitives.int32,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_int32(generator, ctx, (elem_ty, val)),
|
||||
)?;
|
||||
|
||||
|
@ -209,14 +129,13 @@ pub fn call_int64<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ctx.primitives.int64,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_int64(generator, ctx, (elem_ty, val)),
|
||||
)?;
|
||||
|
||||
|
@ -288,14 +207,13 @@ pub fn call_uint32<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ctx.primitives.uint32,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_uint32(generator, ctx, (elem_ty, val)),
|
||||
)?;
|
||||
|
||||
|
@ -356,14 +274,13 @@ pub fn call_uint64<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ctx.primitives.uint64,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_uint64(generator, ctx, (elem_ty, val)),
|
||||
)?;
|
||||
|
||||
|
@ -423,14 +340,13 @@ pub fn call_float<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ctx.primitives.float,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_float(generator, ctx, (elem_ty, val)),
|
||||
)?;
|
||||
|
||||
|
@ -470,14 +386,13 @@ pub fn call_round<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ret_elem_ty,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_round(generator, ctx, (elem_ty, val), ret_elem_ty),
|
||||
)?;
|
||||
|
||||
|
@ -511,14 +426,13 @@ pub fn call_numpy_round<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ctx.primitives.float,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_numpy_round(generator, ctx, (elem_ty, val)),
|
||||
)?;
|
||||
|
||||
|
@ -577,14 +491,13 @@ pub fn call_bool<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ctx.primitives.bool,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| {
|
||||
let elem = call_bool(generator, ctx, (elem_ty, val))?;
|
||||
|
||||
|
@ -632,14 +545,13 @@ pub fn call_floor<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ret_elem_ty,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_floor(generator, ctx, (elem_ty, val), ret_elem_ty),
|
||||
)?;
|
||||
|
||||
|
@ -683,15 +595,14 @@ pub fn call_ceil<'ctx, G: CodeGenerator + ?Sized>(
|
|||
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
generator,
|
||||
ctx,
|
||||
ret_elem_ty,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|
||||
|generator, ctx, val| call_ceil(generator, ctx, (elem_ty, val), ret_elem_ty),
|
||||
NDArrayValue::from_ptr_val(n, llvm_usize, None),
|
||||
|generator, ctx, val| call_floor(generator, ctx, (elem_ty, val), ret_elem_ty),
|
||||
)?;
|
||||
|
||||
ndarray.as_base_value().into()
|
||||
|
@ -808,7 +719,7 @@ pub fn call_numpy_minimum<'ctx, G: CodeGenerator + ?Sized>(
|
|||
} else if is_ndarray2 {
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
|
||||
} else {
|
||||
codegen_unreachable!(ctx)
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
|
||||
|
@ -819,8 +730,8 @@ pub fn call_numpy_minimum<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_minimum(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -912,17 +823,17 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
|
|||
match fn_name {
|
||||
"np_argmin" | "np_argmax" => llvm_int64.const_zero().into(),
|
||||
"np_max" | "np_min" => a,
|
||||
_ => codegen_unreachable!(ctx),
|
||||
_ => unreachable!(),
|
||||
}
|
||||
}
|
||||
BasicValueEnum::PointerValue(n)
|
||||
if a_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
|
||||
{
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, a_ty);
|
||||
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
let llvm_ndarray_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let n = NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None);
|
||||
let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.shape(), (None, None));
|
||||
let n = NDArrayValue::from_ptr_val(n, llvm_usize, None);
|
||||
let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.dim_sizes(), (None, None));
|
||||
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
|
||||
let n_sz_eqz = ctx
|
||||
.builder
|
||||
|
@ -939,7 +850,7 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
|
|||
);
|
||||
}
|
||||
|
||||
let accumulator_addr = generator.gen_var_alloc(ctx, llvm_elem_ty, None)?;
|
||||
let accumulator_addr = generator.gen_var_alloc(ctx, llvm_ndarray_ty, None)?;
|
||||
let res_idx = generator.gen_var_alloc(ctx, llvm_int64.into(), None)?;
|
||||
|
||||
unsafe {
|
||||
|
@ -952,7 +863,6 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
|
|||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_int64.const_int(1, false),
|
||||
(n_sz, false),
|
||||
|generator, ctx, _, idx| {
|
||||
|
@ -967,7 +877,7 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
|
|||
"np_argmax" | "np_max" => {
|
||||
call_max(ctx, (elem_ty, accumulator), (elem_ty, elem))
|
||||
}
|
||||
_ => codegen_unreachable!(ctx),
|
||||
_ => unreachable!(),
|
||||
};
|
||||
|
||||
let updated_idx = match (accumulator, result) {
|
||||
|
@ -1004,7 +914,7 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
|
|||
match fn_name {
|
||||
"np_argmin" | "np_argmax" => ctx.builder.build_load(res_idx, "").unwrap(),
|
||||
"np_max" | "np_min" => ctx.builder.build_load(accumulator_addr, "").unwrap(),
|
||||
_ => codegen_unreachable!(ctx),
|
||||
_ => unreachable!(),
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -1070,7 +980,7 @@ pub fn call_numpy_maximum<'ctx, G: CodeGenerator + ?Sized>(
|
|||
} else if is_ndarray2 {
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
|
||||
} else {
|
||||
codegen_unreachable!(ctx)
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
|
||||
|
@ -1081,8 +991,8 @@ pub fn call_numpy_maximum<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_maximum(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -1127,7 +1037,6 @@ where
|
|||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let (arg_elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, arg_ty);
|
||||
let llvm_arg_elem_ty = ctx.get_llvm_type(generator, arg_elem_ty);
|
||||
let ret_elem_ty = get_ret_elem_type(ctx, arg_elem_ty);
|
||||
|
||||
let ndarray = ndarray_elementwise_unaryop_impl(
|
||||
|
@ -1135,7 +1044,7 @@ where
|
|||
ctx,
|
||||
ret_elem_ty,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(x, llvm_arg_elem_ty, llvm_usize, None),
|
||||
NDArrayValue::from_ptr_val(x, llvm_usize, None),
|
||||
|generator, ctx, elem_val| {
|
||||
helper_call_numpy_unary_elementwise(
|
||||
generator,
|
||||
|
@ -1511,7 +1420,7 @@ pub fn call_numpy_arctan2<'ctx, G: CodeGenerator + ?Sized>(
|
|||
} else if is_ndarray2 {
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
|
||||
} else {
|
||||
codegen_unreachable!(ctx)
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
|
||||
|
@ -1522,8 +1431,8 @@ pub fn call_numpy_arctan2<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_arctan2(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -1578,7 +1487,7 @@ pub fn call_numpy_copysign<'ctx, G: CodeGenerator + ?Sized>(
|
|||
} else if is_ndarray2 {
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
|
||||
} else {
|
||||
codegen_unreachable!(ctx)
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
|
||||
|
@ -1589,8 +1498,8 @@ pub fn call_numpy_copysign<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_copysign(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -1645,7 +1554,7 @@ pub fn call_numpy_fmax<'ctx, G: CodeGenerator + ?Sized>(
|
|||
} else if is_ndarray2 {
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
|
||||
} else {
|
||||
codegen_unreachable!(ctx)
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
|
||||
|
@ -1656,8 +1565,8 @@ pub fn call_numpy_fmax<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_fmax(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -1712,7 +1621,7 @@ pub fn call_numpy_fmin<'ctx, G: CodeGenerator + ?Sized>(
|
|||
} else if is_ndarray2 {
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
|
||||
} else {
|
||||
codegen_unreachable!(ctx)
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
|
||||
|
@ -1723,8 +1632,8 @@ pub fn call_numpy_fmin<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_fmin(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -1779,8 +1688,8 @@ pub fn call_numpy_ldexp<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_ldexp(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -1835,7 +1744,7 @@ pub fn call_numpy_hypot<'ctx, G: CodeGenerator + ?Sized>(
|
|||
} else if is_ndarray2 {
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
|
||||
} else {
|
||||
codegen_unreachable!(ctx)
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
|
||||
|
@ -1846,8 +1755,8 @@ pub fn call_numpy_hypot<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_hypot(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -1902,7 +1811,7 @@ pub fn call_numpy_nextafter<'ctx, G: CodeGenerator + ?Sized>(
|
|||
} else if is_ndarray2 {
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, x2_ty).0
|
||||
} else {
|
||||
codegen_unreachable!(ctx)
|
||||
unreachable!()
|
||||
};
|
||||
|
||||
let x1_scalar_ty = if is_ndarray1 { dtype } else { x1_ty };
|
||||
|
@ -1913,8 +1822,8 @@ pub fn call_numpy_nextafter<'ctx, G: CodeGenerator + ?Sized>(
|
|||
ctx,
|
||||
dtype,
|
||||
None,
|
||||
(x1_ty, x1, !is_ndarray1),
|
||||
(x2_ty, x2, !is_ndarray2),
|
||||
(x1, !is_ndarray1),
|
||||
(x2, !is_ndarray2),
|
||||
|generator, ctx, (lhs, rhs)| {
|
||||
call_numpy_nextafter(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
|
||||
},
|
||||
|
@ -1926,501 +1835,3 @@ pub fn call_numpy_nextafter<'ctx, G: CodeGenerator + ?Sized>(
|
|||
_ => unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty]),
|
||||
})
|
||||
}
|
||||
|
||||
/// Allocates a struct with the fields specified by `out_matrices` and returns a pointer to it
|
||||
fn build_output_struct<'ctx>(
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
out_matrices: Vec<BasicValueEnum<'ctx>>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let field_ty =
|
||||
out_matrices.iter().map(BasicValueEnum::get_type).collect::<Vec<BasicTypeEnum>>();
|
||||
let out_ty = ctx.ctx.struct_type(&field_ty, false);
|
||||
let out_ptr = ctx.builder.build_alloca(out_ty, "").unwrap();
|
||||
|
||||
for (i, v) in out_matrices.into_iter().enumerate() {
|
||||
unsafe {
|
||||
let ptr = ctx
|
||||
.builder
|
||||
.build_in_bounds_gep(
|
||||
out_ptr,
|
||||
&[
|
||||
ctx.ctx.i32_type().const_zero(),
|
||||
ctx.ctx.i32_type().const_int(i as u64, false),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
ctx.builder.build_store(ptr, v).unwrap();
|
||||
}
|
||||
}
|
||||
out_ptr
|
||||
}
|
||||
|
||||
/// Invokes the `np_linalg_cholesky` linalg function
|
||||
pub fn call_np_linalg_cholesky<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "np_linalg_cholesky";
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
let dim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let dim1 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
|
||||
.into_int_value()
|
||||
};
|
||||
|
||||
let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim1])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
|
||||
extern_fns::call_np_linalg_cholesky(ctx, x1, out, None);
|
||||
Ok(out)
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `np_linalg_qr` linalg function
|
||||
pub fn call_np_linalg_qr<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "np_linalg_qr";
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unimplemented!("{FN_NAME} operates on float type NdArrays only");
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
let dim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let dim1 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
|
||||
|
||||
let out_q = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, k])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
let out_r = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k, dim1])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
|
||||
extern_fns::call_np_linalg_qr(ctx, x1, out_q, out_r, None);
|
||||
|
||||
let out_ptr = build_output_struct(ctx, vec![out_q, out_r]);
|
||||
|
||||
Ok(ctx.builder.build_load(out_ptr, "QR_Factorization_result").map(Into::into).unwrap())
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `np_linalg_svd` linalg function
|
||||
pub fn call_np_linalg_svd<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "np_linalg_svd";
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
|
||||
let dim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let dim1 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
|
||||
|
||||
let out_u = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
let out_s = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
let out_vh = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim1, dim1])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
|
||||
extern_fns::call_np_linalg_svd(ctx, x1, out_u, out_s, out_vh, None);
|
||||
|
||||
let out_ptr = build_output_struct(ctx, vec![out_u, out_s, out_vh]);
|
||||
|
||||
Ok(ctx.builder.build_load(out_ptr, "SVD_Factorization_result").map(Into::into).unwrap())
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `np_linalg_inv` linalg function
|
||||
pub fn call_np_linalg_inv<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "np_linalg_inv";
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
let dim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let dim1 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
|
||||
.into_int_value()
|
||||
};
|
||||
|
||||
let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim1])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
|
||||
extern_fns::call_np_linalg_inv(ctx, x1, out, None);
|
||||
Ok(out)
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `np_linalg_pinv` linalg function
|
||||
pub fn call_np_linalg_pinv<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "np_linalg_pinv";
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
|
||||
let dim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let dim1 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
|
||||
.into_int_value()
|
||||
};
|
||||
|
||||
let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim1, dim0])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
|
||||
extern_fns::call_np_linalg_pinv(ctx, x1, out, None);
|
||||
Ok(out)
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `sp_linalg_lu` linalg function
|
||||
pub fn call_sp_linalg_lu<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "sp_linalg_lu";
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
|
||||
let dim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let dim1 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let k = llvm_intrinsics::call_int_smin(ctx, dim0, dim1, None);
|
||||
|
||||
let out_l = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, k])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
let out_u = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[k, dim1])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
|
||||
extern_fns::call_sp_linalg_lu(ctx, x1, out_l, out_u, None);
|
||||
|
||||
let out_ptr = build_output_struct(ctx, vec![out_l, out_u]);
|
||||
Ok(ctx.builder.build_load(out_ptr, "LU_Factorization_result").map(Into::into).unwrap())
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `np_linalg_matrix_power` linalg function
|
||||
pub fn call_np_linalg_matrix_power<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
x2: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "np_linalg_matrix_power";
|
||||
let (x1_ty, x1) = x1;
|
||||
let (x2_ty, x2) = x2;
|
||||
let x2 = call_float(generator, ctx, (x2_ty, x2)).unwrap();
|
||||
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
if let (BasicValueEnum::PointerValue(n1), BasicValueEnum::FloatValue(n2)) = (x1, x2) {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
// Changing second parameter to a `NDArray` for uniformity in function call
|
||||
let n2_array = numpy::create_ndarray_const_shape(
|
||||
generator,
|
||||
ctx,
|
||||
elem_ty,
|
||||
&[llvm_usize.const_int(1, false)],
|
||||
)
|
||||
.unwrap();
|
||||
unsafe {
|
||||
n2_array.data().set_unchecked(
|
||||
ctx,
|
||||
generator,
|
||||
&llvm_usize.const_zero(),
|
||||
n2.as_basic_value_enum(),
|
||||
);
|
||||
};
|
||||
let n2_array = n2_array.as_base_value().as_basic_value_enum();
|
||||
|
||||
let outdim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let outdim1 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
|
||||
.into_int_value()
|
||||
};
|
||||
|
||||
let out = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[outdim0, outdim1])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
|
||||
extern_fns::call_np_linalg_matrix_power(ctx, x1, n2_array, out, None);
|
||||
Ok(out)
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `np_linalg_det` linalg function
|
||||
pub fn call_np_linalg_det<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "np_linalg_matrix_power";
|
||||
let (x1_ty, x1) = x1;
|
||||
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
if let BasicValueEnum::PointerValue(_) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
// Changing second parameter to a `NDArray` for uniformity in function call
|
||||
let out = numpy::create_ndarray_const_shape(
|
||||
generator,
|
||||
ctx,
|
||||
elem_ty,
|
||||
&[llvm_usize.const_int(1, false)],
|
||||
)
|
||||
.unwrap();
|
||||
extern_fns::call_np_linalg_det(ctx, x1, out.as_base_value().as_basic_value_enum(), None);
|
||||
let res =
|
||||
unsafe { out.data().get_unchecked(ctx, generator, &llvm_usize.const_zero(), None) };
|
||||
Ok(res)
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `sp_linalg_schur` linalg function
|
||||
pub fn call_sp_linalg_schur<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "sp_linalg_schur";
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
|
||||
let dim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let out_t = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
let out_z = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
|
||||
extern_fns::call_sp_linalg_schur(ctx, x1, out_t, out_z, None);
|
||||
|
||||
let out_ptr = build_output_struct(ctx, vec![out_t, out_z]);
|
||||
Ok(ctx.builder.build_load(out_ptr, "Schur_Factorization_result").map(Into::into).unwrap())
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
||||
/// Invokes the `sp_linalg_hessenberg` linalg function
|
||||
pub fn call_sp_linalg_hessenberg<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
x1: (Type, BasicValueEnum<'ctx>),
|
||||
) -> Result<BasicValueEnum<'ctx>, String> {
|
||||
const FN_NAME: &str = "sp_linalg_hessenberg";
|
||||
let (x1_ty, x1) = x1;
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
if let BasicValueEnum::PointerValue(n1) = x1 {
|
||||
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
|
||||
let n1_elem_ty = ctx.get_llvm_type(generator, elem_ty);
|
||||
|
||||
let BasicTypeEnum::FloatType(_) = n1_elem_ty else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
|
||||
|
||||
let dim0 = unsafe {
|
||||
n1.shape()
|
||||
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.into_int_value()
|
||||
};
|
||||
let out_h = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
let out_q = numpy::create_ndarray_const_shape(generator, ctx, elem_ty, &[dim0, dim0])
|
||||
.unwrap()
|
||||
.as_base_value()
|
||||
.as_basic_value_enum();
|
||||
extern_fns::call_sp_linalg_hessenberg(ctx, x1, out_h, out_q, None);
|
||||
|
||||
let out_ptr = build_output_struct(ctx, vec![out_h, out_q]);
|
||||
Ok(ctx
|
||||
.builder
|
||||
.build_load(out_ptr, "Hessenberg_decomposition_result")
|
||||
.map(Into::into)
|
||||
.unwrap())
|
||||
} else {
|
||||
unsupported_type(ctx, FN_NAME, &[x1_ty])
|
||||
}
|
||||
}
|
||||
|
|
File diff suppressed because it is too large
Load Diff
|
@ -1,9 +1,3 @@
|
|||
use std::collections::HashMap;
|
||||
|
||||
use indexmap::IndexMap;
|
||||
|
||||
use nac3parser::ast::StrRef;
|
||||
|
||||
use crate::{
|
||||
symbol_resolver::SymbolValue,
|
||||
toplevel::DefinitionId,
|
||||
|
@ -15,6 +9,10 @@ use crate::{
|
|||
},
|
||||
};
|
||||
|
||||
use indexmap::IndexMap;
|
||||
use nac3parser::ast::StrRef;
|
||||
use std::collections::HashMap;
|
||||
|
||||
pub struct ConcreteTypeStore {
|
||||
store: Vec<ConcreteTypeEnum>,
|
||||
}
|
||||
|
@ -27,7 +25,6 @@ pub struct ConcreteFuncArg {
|
|||
pub name: StrRef,
|
||||
pub ty: ConcreteType,
|
||||
pub default_value: Option<SymbolValue>,
|
||||
pub is_vararg: bool,
|
||||
}
|
||||
|
||||
#[derive(Clone, Debug)]
|
||||
|
@ -49,7 +46,6 @@ pub enum ConcreteTypeEnum {
|
|||
TPrimitive(Primitive),
|
||||
TTuple {
|
||||
ty: Vec<ConcreteType>,
|
||||
is_vararg_ctx: bool,
|
||||
},
|
||||
TObj {
|
||||
obj_id: DefinitionId,
|
||||
|
@ -106,16 +102,8 @@ impl ConcreteTypeStore {
|
|||
.iter()
|
||||
.map(|arg| ConcreteFuncArg {
|
||||
name: arg.name,
|
||||
ty: if arg.is_vararg {
|
||||
let tuple_ty = unifier
|
||||
.add_ty(TypeEnum::TTuple { ty: vec![arg.ty], is_vararg_ctx: true });
|
||||
|
||||
self.from_unifier_type(unifier, primitives, tuple_ty, cache)
|
||||
} else {
|
||||
self.from_unifier_type(unifier, primitives, arg.ty, cache)
|
||||
},
|
||||
ty: self.from_unifier_type(unifier, primitives, arg.ty, cache),
|
||||
default_value: arg.default_value.clone(),
|
||||
is_vararg: arg.is_vararg,
|
||||
})
|
||||
.collect(),
|
||||
ret: self.from_unifier_type(unifier, primitives, signature.ret, cache),
|
||||
|
@ -170,12 +158,11 @@ impl ConcreteTypeStore {
|
|||
cache.insert(ty, None);
|
||||
let ty_enum = unifier.get_ty(ty);
|
||||
let result = match &*ty_enum {
|
||||
TypeEnum::TTuple { ty, is_vararg_ctx } => ConcreteTypeEnum::TTuple {
|
||||
TypeEnum::TTuple { ty } => ConcreteTypeEnum::TTuple {
|
||||
ty: ty
|
||||
.iter()
|
||||
.map(|t| self.from_unifier_type(unifier, primitives, *t, cache))
|
||||
.collect(),
|
||||
is_vararg_ctx: *is_vararg_ctx,
|
||||
},
|
||||
TypeEnum::TObj { obj_id, fields, params } => ConcreteTypeEnum::TObj {
|
||||
obj_id: *obj_id,
|
||||
|
@ -261,12 +248,11 @@ impl ConcreteTypeStore {
|
|||
*cache.get_mut(&cty).unwrap() = Some(ty);
|
||||
return ty;
|
||||
}
|
||||
ConcreteTypeEnum::TTuple { ty, is_vararg_ctx } => TypeEnum::TTuple {
|
||||
ConcreteTypeEnum::TTuple { ty } => TypeEnum::TTuple {
|
||||
ty: ty
|
||||
.iter()
|
||||
.map(|cty| self.to_unifier_type(unifier, primitives, *cty, cache))
|
||||
.collect(),
|
||||
is_vararg_ctx: *is_vararg_ctx,
|
||||
},
|
||||
ConcreteTypeEnum::TVirtual { ty } => {
|
||||
TypeEnum::TVirtual { ty: self.to_unifier_type(unifier, primitives, *ty, cache) }
|
||||
|
@ -291,7 +277,6 @@ impl ConcreteTypeStore {
|
|||
name: arg.name,
|
||||
ty: self.to_unifier_type(unifier, primitives, arg.ty, cache),
|
||||
default_value: arg.default_value.clone(),
|
||||
is_vararg: false,
|
||||
})
|
||||
.collect(),
|
||||
ret: self.to_unifier_type(unifier, primitives, *ret, cache),
|
||||
|
|
File diff suppressed because it is too large
Load Diff
|
@ -1,10 +1,8 @@
|
|||
use inkwell::{
|
||||
attributes::{Attribute, AttributeLoc},
|
||||
values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue},
|
||||
};
|
||||
use inkwell::attributes::{Attribute, AttributeLoc};
|
||||
use inkwell::values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue};
|
||||
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`
|
||||
|
@ -15,8 +13,8 @@ use super::CodeGenContext;
|
|||
/// * `$extern_fn:literal`: Name of underlying extern function
|
||||
///
|
||||
/// Optional Arguments:
|
||||
/// * `$(,$attributes:literal)*)`: Attributes linked with the extern function.
|
||||
/// The default attributes are "mustprogress", "nofree", "nounwind", "willreturn", and "writeonly".
|
||||
/// * `$(,$attributes:literal)*)`: Attributes linked with the extern function
|
||||
/// The default attributes are "mustprogress", "nofree", "nounwind", "willreturn", and "writeonly"
|
||||
/// These will be used unless other attributes are specified
|
||||
/// * `$(,$args:ident)*`: Operands of the extern function
|
||||
/// The data type of these operands will be set to `FloatValue`
|
||||
|
@ -132,62 +130,3 @@ pub fn call_ldexp<'ctx>(
|
|||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Macro to generate `np_linalg` and `sp_linalg` functions
|
||||
/// The function takes as input `NDArray` and returns ()
|
||||
///
|
||||
/// Arguments:
|
||||
/// * `$fn_name:ident`: The identifier of the rust function to be generated
|
||||
/// * `$extern_fn:literal`: Name of underlying extern function
|
||||
/// * (2/3/4): Number of `NDArray` that function takes as input
|
||||
///
|
||||
/// Note:
|
||||
/// The operands and resulting `NDArray` are both passed as input to the funcion
|
||||
/// It is the responsibility of caller to ensure that output `NDArray` is properly allocated on stack
|
||||
/// The function changes the content of the output `NDArray` in-place
|
||||
macro_rules! generate_linalg_extern_fn {
|
||||
($fn_name:ident, $extern_fn:literal, 2) => {
|
||||
generate_linalg_extern_fn!($fn_name, $extern_fn, mat1, mat2);
|
||||
};
|
||||
($fn_name:ident, $extern_fn:literal, 3) => {
|
||||
generate_linalg_extern_fn!($fn_name, $extern_fn, mat1, mat2, mat3);
|
||||
};
|
||||
($fn_name:ident, $extern_fn:literal, 4) => {
|
||||
generate_linalg_extern_fn!($fn_name, $extern_fn, mat1, mat2, mat3, mat4);
|
||||
};
|
||||
($fn_name:ident, $extern_fn:literal $(,$input_matrix:ident)*) => {
|
||||
#[doc = concat!("Invokes the linalg `", stringify!($extern_fn), " function." )]
|
||||
pub fn $fn_name<'ctx>(
|
||||
ctx: &mut CodeGenContext<'ctx, '_>
|
||||
$(,$input_matrix: BasicValueEnum<'ctx>)*,
|
||||
name: Option<&str>,
|
||||
){
|
||||
const FN_NAME: &str = $extern_fn;
|
||||
let extern_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
|
||||
let fn_type = ctx.ctx.void_type().fn_type(&[$($input_matrix.get_type().into()),*], false);
|
||||
|
||||
let func = ctx.module.add_function(FN_NAME, fn_type, None);
|
||||
for attr in ["mustprogress", "nofree", "nounwind", "willreturn", "writeonly"] {
|
||||
func.add_attribute(
|
||||
AttributeLoc::Function,
|
||||
ctx.ctx.create_enum_attribute(Attribute::get_named_enum_kind_id(attr), 0),
|
||||
);
|
||||
}
|
||||
func
|
||||
});
|
||||
|
||||
ctx.builder.build_call(extern_fn, &[$($input_matrix.into(),)*], name.unwrap_or_default()).unwrap();
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
generate_linalg_extern_fn!(call_np_linalg_cholesky, "np_linalg_cholesky", 2);
|
||||
generate_linalg_extern_fn!(call_np_linalg_qr, "np_linalg_qr", 3);
|
||||
generate_linalg_extern_fn!(call_np_linalg_svd, "np_linalg_svd", 4);
|
||||
generate_linalg_extern_fn!(call_np_linalg_inv, "np_linalg_inv", 2);
|
||||
generate_linalg_extern_fn!(call_np_linalg_pinv, "np_linalg_pinv", 2);
|
||||
generate_linalg_extern_fn!(call_np_linalg_matrix_power, "np_linalg_matrix_power", 3);
|
||||
generate_linalg_extern_fn!(call_np_linalg_det, "np_linalg_det", 2);
|
||||
generate_linalg_extern_fn!(call_sp_linalg_lu, "sp_linalg_lu", 3);
|
||||
generate_linalg_extern_fn!(call_sp_linalg_schur, "sp_linalg_schur", 3);
|
||||
generate_linalg_extern_fn!(call_sp_linalg_hessenberg, "sp_linalg_hessenberg", 3);
|
||||
|
|
|
@ -1,18 +1,16 @@
|
|||
use crate::{
|
||||
codegen::{bool_to_i1, bool_to_i8, classes::ArraySliceValue, expr::*, stmt::*, CodeGenContext},
|
||||
symbol_resolver::ValueEnum,
|
||||
toplevel::{DefinitionId, TopLevelDef},
|
||||
typecheck::typedef::{FunSignature, Type},
|
||||
};
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{BasicTypeEnum, IntType},
|
||||
values::{BasicValueEnum, IntValue, PointerValue},
|
||||
};
|
||||
|
||||
use nac3parser::ast::{Expr, Stmt, StrRef};
|
||||
|
||||
use super::{bool_to_i1, bool_to_i8, expr::*, stmt::*, values::ArraySliceValue, CodeGenContext};
|
||||
use crate::{
|
||||
symbol_resolver::ValueEnum,
|
||||
toplevel::{DefinitionId, TopLevelDef},
|
||||
typecheck::typedef::{FunSignature, Type},
|
||||
};
|
||||
|
||||
pub trait CodeGenerator {
|
||||
/// Return the module name for the code generator.
|
||||
fn get_name(&self) -> &str;
|
||||
|
@ -59,7 +57,6 @@ pub trait CodeGenerator {
|
|||
/// - fun: Function signature, definition ID and the substitution key.
|
||||
/// - params: Function parameters. Note that this does not include the object even if the
|
||||
/// function is a class method.
|
||||
///
|
||||
/// Note that this function should check if the function is generated in another thread (due to
|
||||
/// possible race condition), see the default implementation for an example.
|
||||
fn gen_func_instance<'ctx>(
|
||||
|
@ -134,39 +131,6 @@ pub trait CodeGenerator {
|
|||
gen_assign(self, ctx, target, value, value_ty)
|
||||
}
|
||||
|
||||
/// Generate code for an assignment expression where LHS is a `"target_list"`.
|
||||
///
|
||||
/// See <https://docs.python.org/3/reference/simple_stmts.html#assignment-statements>.
|
||||
fn gen_assign_target_list<'ctx>(
|
||||
&mut self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
targets: &Vec<Expr<Option<Type>>>,
|
||||
value: ValueEnum<'ctx>,
|
||||
value_ty: Type,
|
||||
) -> Result<(), String>
|
||||
where
|
||||
Self: Sized,
|
||||
{
|
||||
gen_assign_target_list(self, ctx, targets, value, value_ty)
|
||||
}
|
||||
|
||||
/// Generate code for an item assignment.
|
||||
///
|
||||
/// i.e., `target[key] = value`
|
||||
fn gen_setitem<'ctx>(
|
||||
&mut self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
target: &Expr<Option<Type>>,
|
||||
key: &Expr<Option<Type>>,
|
||||
value: ValueEnum<'ctx>,
|
||||
value_ty: Type,
|
||||
) -> Result<(), String>
|
||||
where
|
||||
Self: Sized,
|
||||
{
|
||||
gen_setitem(self, ctx, target, key, value, value_ty)
|
||||
}
|
||||
|
||||
/// Generate code for a while expression.
|
||||
/// Return true if the while loop must early return
|
||||
fn gen_while(
|
||||
|
|
|
@ -0,0 +1,187 @@
|
|||
use crate::codegen::{model::*, CodeGenContext, CodeGenerator};
|
||||
|
||||
use super::util::{get_sized_dependent_function_name, FunctionBuilder};
|
||||
|
||||
pub struct StrFields<'ctx> {
|
||||
pub content: Field<PointerModel<FixedIntModel<Byte>>>,
|
||||
pub length: Field<IntModel<'ctx>>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Str<'ctx> {
|
||||
pub sizet: IntModel<'ctx>,
|
||||
}
|
||||
|
||||
impl<'ctx> IsStruct<'ctx> for Str<'ctx> {
|
||||
type Fields = StrFields<'ctx>;
|
||||
|
||||
fn struct_name(&self) -> &'static str {
|
||||
"Str"
|
||||
}
|
||||
|
||||
fn build_fields(&self, builder: &mut FieldBuilder<'ctx>) -> Self::Fields {
|
||||
Self::Fields {
|
||||
content: builder.add_field_auto("content"),
|
||||
length: builder.add_field("length", self.sizet),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
type ErrorId = Int32;
|
||||
pub struct ErrorIdsFields {
|
||||
pub index_error: Field<FixedIntModel<ErrorId>>,
|
||||
pub value_error: Field<FixedIntModel<ErrorId>>,
|
||||
pub assertion_error: Field<FixedIntModel<ErrorId>>,
|
||||
pub runtime_error: Field<FixedIntModel<ErrorId>>,
|
||||
pub type_error: Field<FixedIntModel<ErrorId>>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct ErrorIds;
|
||||
|
||||
impl<'ctx> IsStruct<'ctx> for ErrorIds {
|
||||
type Fields = ErrorIdsFields;
|
||||
|
||||
fn struct_name(&self) -> &'static str {
|
||||
"ErrorIds"
|
||||
}
|
||||
|
||||
fn build_fields(&self, builder: &mut FieldBuilder) -> Self::Fields {
|
||||
Self::Fields {
|
||||
index_error: builder.add_field_auto("index_error"),
|
||||
value_error: builder.add_field_auto("value_error"),
|
||||
assertion_error: builder.add_field_auto("assertion_error"),
|
||||
runtime_error: builder.add_field_auto("runtime_error"),
|
||||
type_error: builder.add_field_auto("type_error"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
pub struct ErrorContextFields {
|
||||
pub error_id: Field<FixedIntModel<ErrorId>>,
|
||||
pub message_template: Field<PointerModel<FixedIntModel<Byte>>>,
|
||||
pub param1: Field<FixedIntModel<Int64>>,
|
||||
pub param2: Field<FixedIntModel<Int64>>,
|
||||
pub param3: Field<FixedIntModel<Int64>>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct ErrorContext;
|
||||
|
||||
impl<'ctx> IsStruct<'ctx> for ErrorContext {
|
||||
type Fields = ErrorContextFields;
|
||||
|
||||
fn struct_name(&self) -> &'static str {
|
||||
"ErrorIds"
|
||||
}
|
||||
|
||||
fn build_fields(&self, builder: &mut FieldBuilder) -> Self::Fields {
|
||||
Self::Fields {
|
||||
error_id: builder.add_field_auto("error_id"),
|
||||
message_template: builder.add_field_auto("message_template"),
|
||||
param1: builder.add_field_auto("param1"),
|
||||
param2: builder.add_field_auto("param2"),
|
||||
param3: builder.add_field_auto("param3"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Prepare ErrorIds
|
||||
fn build_error_ids<'ctx>(ctx: &CodeGenContext<'ctx, '_>) -> Pointer<'ctx, StructModel<ErrorIds>> {
|
||||
// ErrorIdsLens.get_fields(ctx.ctx).assertion_error.
|
||||
let error_ids = StructModel(ErrorIds).alloca(ctx, "error_ids");
|
||||
let i32_model = FixedIntModel(Int32);
|
||||
// i32_model.make_constant()
|
||||
|
||||
let get_string_id =
|
||||
|string_id| i32_model.constant(ctx.ctx, ctx.resolver.get_string_id(string_id) as u64);
|
||||
|
||||
error_ids.gep(ctx, |f| f.index_error).store(ctx, get_string_id("0:IndexError"));
|
||||
error_ids.gep(ctx, |f| f.value_error).store(ctx, get_string_id("0:ValueError"));
|
||||
error_ids.gep(ctx, |f| f.assertion_error).store(ctx, get_string_id("0:AssertionError"));
|
||||
error_ids.gep(ctx, |f| f.runtime_error).store(ctx, get_string_id("0:RuntimeError"));
|
||||
error_ids.gep(ctx, |f| f.type_error).store(ctx, get_string_id("0:TypeError"));
|
||||
|
||||
error_ids
|
||||
}
|
||||
|
||||
pub fn call_nac3_error_context_initialize<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
perrctx: Pointer<'ctx, StructModel<ErrorContext>>,
|
||||
perror_ids: Pointer<'ctx, StructModel<ErrorIds>>,
|
||||
) {
|
||||
FunctionBuilder::begin(ctx, "__nac3_error_context_initialize")
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), perrctx)
|
||||
.arg("error_ids", PointerModel(StructModel(ErrorIds)), perror_ids)
|
||||
.returning_void();
|
||||
}
|
||||
|
||||
pub fn call_nac3_error_context_has_no_error<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
errctx: Pointer<'ctx, StructModel<ErrorContext>>,
|
||||
) -> FixedInt<'ctx, Bool> {
|
||||
FunctionBuilder::begin(ctx, "__nac3_error_context_has_no_error")
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), errctx)
|
||||
.returning("has_error", FixedIntModel(Bool))
|
||||
}
|
||||
|
||||
pub fn call_nac3_error_context_get_error_str<'ctx>(
|
||||
sizet: IntModel<'ctx>,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
errctx: Pointer<'ctx, StructModel<ErrorContext>>,
|
||||
dst_str: Pointer<'ctx, StructModel<Str<'ctx>>>,
|
||||
) {
|
||||
FunctionBuilder::begin(
|
||||
ctx,
|
||||
&get_sized_dependent_function_name(sizet, "__nac3_error_context_get_error_str"),
|
||||
)
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), errctx)
|
||||
.arg("dst_str", PointerModel(StructModel(Str { sizet })), dst_str)
|
||||
.returning_void();
|
||||
}
|
||||
|
||||
pub fn prepare_error_context<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> Pointer<'ctx, StructModel<ErrorContext>> {
|
||||
let error_ids = build_error_ids(ctx);
|
||||
let errctx_ptr = StructModel(ErrorContext).alloca(ctx, "errctx");
|
||||
call_nac3_error_context_initialize(ctx, errctx_ptr, error_ids);
|
||||
errctx_ptr
|
||||
}
|
||||
|
||||
pub fn check_error_context<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
errctx_ptr: Pointer<'ctx, StructModel<ErrorContext>>,
|
||||
) {
|
||||
let sizet = IntModel(generator.get_size_type(ctx.ctx));
|
||||
|
||||
let has_error = call_nac3_error_context_has_no_error(ctx, errctx_ptr);
|
||||
let pstr = StructModel(Str { sizet }).alloca(ctx, "error_str");
|
||||
call_nac3_error_context_get_error_str(sizet, ctx, errctx_ptr, pstr);
|
||||
|
||||
let error_id = errctx_ptr.gep(ctx, |f| f.error_id).load(ctx, "error_id");
|
||||
let error_str = pstr.load(ctx, "error_str");
|
||||
let param1 = errctx_ptr.gep(ctx, |f| f.param1).load(ctx, "param1");
|
||||
let param2 = errctx_ptr.gep(ctx, |f| f.param2).load(ctx, "param2");
|
||||
let param3 = errctx_ptr.gep(ctx, |f| f.param3).load(ctx, "param3");
|
||||
ctx.make_assert_impl_by_id(
|
||||
generator,
|
||||
has_error.value,
|
||||
error_id.value,
|
||||
error_str.get_llvm_value(),
|
||||
[Some(param1.value), Some(param2.value), Some(param3.value)],
|
||||
ctx.current_loc,
|
||||
);
|
||||
}
|
||||
|
||||
pub fn call_nac3_dummy_raise<G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext,
|
||||
) {
|
||||
let errctx = prepare_error_context(ctx);
|
||||
FunctionBuilder::begin(ctx, "__nac3_error_dummy_raise")
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), errctx)
|
||||
.returning_void();
|
||||
check_error_context(generator, ctx, errctx);
|
||||
}
|
|
@ -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()
|
||||
}
|
|
@ -1,28 +1,33 @@
|
|||
use crate::typecheck::typedef::Type;
|
||||
|
||||
pub mod error_context;
|
||||
pub mod numpy;
|
||||
mod test;
|
||||
mod util;
|
||||
|
||||
use super::{
|
||||
classes::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue,
|
||||
TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
|
||||
},
|
||||
llvm_intrinsics, CodeGenContext, CodeGenerator,
|
||||
};
|
||||
use crate::codegen::classes::TypedArrayLikeAccessor;
|
||||
use crate::codegen::stmt::gen_for_callback_incrementing;
|
||||
use inkwell::{
|
||||
attributes::{Attribute, AttributeLoc},
|
||||
context::Context,
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::Module,
|
||||
values::{BasicValue, BasicValueEnum, IntValue},
|
||||
IntPredicate,
|
||||
types::{BasicTypeEnum, IntType},
|
||||
values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue},
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
|
||||
use itertools::Either;
|
||||
use nac3parser::ast::Expr;
|
||||
|
||||
use super::{CodeGenContext, CodeGenerator};
|
||||
use crate::{symbol_resolver::SymbolResolver, typecheck::typedef::Type};
|
||||
pub use list::*;
|
||||
pub use math::*;
|
||||
pub use ndarray::*;
|
||||
pub use slice::*;
|
||||
|
||||
mod list;
|
||||
mod math;
|
||||
mod ndarray;
|
||||
mod slice;
|
||||
|
||||
#[must_use]
|
||||
pub fn load_irrt<'ctx>(ctx: &'ctx Context, symbol_resolver: &dyn SymbolResolver) -> Module<'ctx> {
|
||||
pub fn load_irrt(ctx: &Context) -> Module {
|
||||
let bitcode_buf = MemoryBuffer::create_from_memory_range(
|
||||
include_bytes!(concat!(env!("OUT_DIR"), "/irrt.bc")),
|
||||
"irrt_bitcode_buffer",
|
||||
|
@ -38,28 +43,91 @@ pub fn load_irrt<'ctx>(ctx: &'ctx Context, symbol_resolver: &dyn SymbolResolver)
|
|||
let function = irrt_mod.get_function(symbol).unwrap();
|
||||
function.add_attribute(AttributeLoc::Function, ctx.create_enum_attribute(inline_attr, 0));
|
||||
}
|
||||
|
||||
// Initialize all global `EXN_*` exception IDs in IRRT with the [`SymbolResolver`].
|
||||
let exn_id_type = ctx.i32_type();
|
||||
let errors = &[
|
||||
("EXN_INDEX_ERROR", "0:IndexError"),
|
||||
("EXN_VALUE_ERROR", "0:ValueError"),
|
||||
("EXN_ASSERTION_ERROR", "0:AssertionError"),
|
||||
("EXN_TYPE_ERROR", "0:TypeError"),
|
||||
];
|
||||
for (irrt_name, symbol_name) in errors {
|
||||
let exn_id = symbol_resolver.get_string_id(symbol_name);
|
||||
let exn_id = exn_id_type.const_int(exn_id as u64, false).as_basic_value_enum();
|
||||
|
||||
let global = irrt_mod.get_global(irrt_name).unwrap_or_else(|| {
|
||||
panic!("Exception symbol name '{irrt_name}' should exist in the IRRT LLVM module")
|
||||
});
|
||||
global.set_initializer(&exn_id);
|
||||
}
|
||||
|
||||
irrt_mod
|
||||
}
|
||||
|
||||
// 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",
|
||||
_ => unreachable!(),
|
||||
};
|
||||
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()
|
||||
}
|
||||
|
||||
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***,
|
||||
/// because python allows `a[2::-1]`, whose semantic is `[a[2], a[1], a[0]]`, which is equivalent to
|
||||
/// NO numeric slice in python.
|
||||
|
@ -225,3 +293,642 @@ 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(),
|
||||
_ => unreachable!(),
|
||||
};
|
||||
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 => unreachable!("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 => unreachable!("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 => unreachable!("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 => unreachable!("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,
|
||||
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 => unreachable!("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()),
|
||||
)
|
||||
}
|
||||
|
|
|
@ -1,384 +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::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, NDArrayValue, TypedArrayLikeAccessor,
|
||||
TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// 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.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: &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.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()),
|
||||
)
|
||||
}
|
|
@ -0,0 +1,4 @@
|
|||
pub mod ndarray;
|
||||
pub mod shape;
|
||||
pub mod slice;
|
||||
pub mod subscript;
|
|
@ -0,0 +1,254 @@
|
|||
use inkwell::types::{BasicType, BasicTypeEnum};
|
||||
|
||||
use crate::codegen::{
|
||||
irrt::{
|
||||
error_context::{check_error_context, prepare_error_context, ErrorContext},
|
||||
util::{get_sized_dependent_function_name, FunctionBuilder},
|
||||
},
|
||||
model::*,
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
use super::{
|
||||
shape::Producer,
|
||||
slice::{SliceIndex, SliceIndexModel},
|
||||
};
|
||||
|
||||
pub struct NpArrayFields<'ctx> {
|
||||
pub data: Field<PointerModel<ByteModel>>,
|
||||
pub itemsize: Field<IntModel<'ctx>>,
|
||||
pub ndims: Field<IntModel<'ctx>>,
|
||||
pub shape: Field<PointerModel<IntModel<'ctx>>>,
|
||||
pub strides: Field<PointerModel<IntModel<'ctx>>>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct NpArray<'ctx> {
|
||||
pub sizet: IntModel<'ctx>,
|
||||
}
|
||||
|
||||
impl<'ctx> IsStruct<'ctx> for NpArray<'ctx> {
|
||||
type Fields = NpArrayFields<'ctx>;
|
||||
|
||||
fn struct_name(&self) -> &'static str {
|
||||
"NDArray"
|
||||
}
|
||||
|
||||
fn build_fields(&self, builder: &mut FieldBuilder<'ctx>) -> Self::Fields {
|
||||
NpArrayFields {
|
||||
data: builder.add_field_auto("data"),
|
||||
itemsize: builder.add_field("itemsize", self.sizet),
|
||||
ndims: builder.add_field("ndims", self.sizet),
|
||||
shape: builder.add_field("shape", PointerModel(self.sizet)),
|
||||
strides: builder.add_field("strides", PointerModel(self.sizet)),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> Pointer<'ctx, StructModel<NpArray<'ctx>>> {
|
||||
pub fn shape_slice(&self, ctx: &CodeGenContext<'ctx, '_>) -> ArraySlice<'ctx, IntModel<'ctx>> {
|
||||
let ndims = self.gep(ctx, |f| f.ndims).load(ctx, "ndims");
|
||||
let shape_base_ptr = self.gep(ctx, |f| f.shape).load(ctx, "shape");
|
||||
ArraySlice { num_elements: ndims, pointer: shape_base_ptr }
|
||||
}
|
||||
|
||||
pub fn strides_slice(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> ArraySlice<'ctx, IntModel<'ctx>> {
|
||||
let ndims = self.gep(ctx, |f| f.ndims).load(ctx, "ndims");
|
||||
let strides_base_ptr = self.gep(ctx, |f| f.strides).load(ctx, "strides");
|
||||
ArraySlice { num_elements: ndims, pointer: strides_base_ptr }
|
||||
}
|
||||
}
|
||||
|
||||
pub fn alloca_ndarray<'ctx, G>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_type: BasicTypeEnum<'ctx>,
|
||||
ndims: Int<'ctx>,
|
||||
name: &str,
|
||||
) -> Result<Pointer<'ctx, StructModel<NpArray<'ctx>>>, String>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
{
|
||||
let sizet = IntModel(generator.get_size_type(ctx.ctx));
|
||||
|
||||
// Allocate ndarray
|
||||
let ndarray_ptr = StructModel(NpArray { sizet }).alloca(ctx, name);
|
||||
|
||||
// Set ndims
|
||||
ndarray_ptr.gep(ctx, |f| f.ndims).store(ctx, ndims);
|
||||
|
||||
// Set itemsize
|
||||
let itemsize = Int(elem_type.size_of().unwrap());
|
||||
ndarray_ptr.gep(ctx, |f| f.itemsize).store(ctx, itemsize.signed_cast_to_int(ctx, sizet, ""));
|
||||
|
||||
// Allocate and set shape
|
||||
let shape_array = sizet.array_alloca(ctx, ndims, "shape");
|
||||
ndarray_ptr.gep(ctx, |f| f.shape).store(ctx, shape_array.pointer);
|
||||
|
||||
// Allocate and set strides
|
||||
let strides_array = sizet.array_alloca(ctx, ndims, "strides");
|
||||
ndarray_ptr.gep(ctx, |f| f.strides).store(ctx, strides_array.pointer);
|
||||
|
||||
Ok(ndarray_ptr)
|
||||
}
|
||||
|
||||
pub enum NDArrayInitMode<'ctx, G: CodeGenerator + ?Sized> {
|
||||
NDims { ndims: Int<'ctx> },
|
||||
Shape { shape: Producer<'ctx, G, IntModel<'ctx>> },
|
||||
ShapeAndAllocaData { shape: Producer<'ctx, G, IntModel<'ctx>> },
|
||||
}
|
||||
|
||||
/// TODO: DOCUMENT ME
|
||||
pub fn alloca_ndarray_and_init<'ctx, G>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_type: BasicTypeEnum<'ctx>,
|
||||
init_mode: NDArrayInitMode<'ctx, G>,
|
||||
name: &str,
|
||||
) -> Result<Pointer<'ctx, StructModel<NpArray<'ctx>>>, String>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
{
|
||||
// It is implemented verbosely in order to make the initialization modes super clear in their intent.
|
||||
match init_mode {
|
||||
NDArrayInitMode::NDims { ndims } => {
|
||||
let ndarray_ptr = alloca_ndarray(generator, ctx, elem_type, ndims, name)?;
|
||||
Ok(ndarray_ptr)
|
||||
}
|
||||
NDArrayInitMode::Shape { shape } => {
|
||||
let ndims = shape.count;
|
||||
let ndarray_ptr = alloca_ndarray(generator, ctx, elem_type, ndims, name)?;
|
||||
|
||||
// Fill `ndarray.shape`
|
||||
(shape.write_to_array)(generator, ctx, &ndarray_ptr.shape_slice(ctx))?;
|
||||
|
||||
// Check if `shape` has bad inputs
|
||||
call_nac3_ndarray_util_assert_shape_no_negative(
|
||||
generator,
|
||||
ctx,
|
||||
ndims,
|
||||
ndarray_ptr.gep(ctx, |f| f.shape).load(ctx, "shape"),
|
||||
);
|
||||
|
||||
// NOTE: DO NOT DO `set_strides_by_shape` HERE.
|
||||
// Simply this is because we specified that `SetShape` wouldn't do `set_strides_by_shape`
|
||||
|
||||
Ok(ndarray_ptr)
|
||||
}
|
||||
NDArrayInitMode::ShapeAndAllocaData { shape } => {
|
||||
let ndims = shape.count;
|
||||
let ndarray_ptr = alloca_ndarray(generator, ctx, elem_type, ndims, name)?;
|
||||
|
||||
// Fill `ndarray.shape`
|
||||
(shape.write_to_array)(generator, ctx, &ndarray_ptr.shape_slice(ctx))?;
|
||||
|
||||
// Check if `shape` has bad inputs
|
||||
call_nac3_ndarray_util_assert_shape_no_negative(
|
||||
generator,
|
||||
ctx,
|
||||
ndims,
|
||||
ndarray_ptr.gep(ctx, |f| f.shape).load(ctx, "shape"),
|
||||
);
|
||||
|
||||
// Now we populate `ndarray.data` by alloca-ing.
|
||||
// But first, we need to know the size of the ndarray to know how many elements to alloca,
|
||||
// since calculating nbytes of an ndarray requires `ndarray.shape` to be set.
|
||||
let ndarray_nbytes = call_nac3_ndarray_nbytes(ctx, ndarray_ptr);
|
||||
|
||||
// Alloca `data` and assign it to `ndarray.data`
|
||||
let data_array = FixedIntModel(Byte).array_alloca(ctx, ndarray_nbytes, "data");
|
||||
ndarray_ptr.gep(ctx, |f| f.data).store(ctx, data_array.pointer);
|
||||
|
||||
// Finally, do `set_strides_by_shape`
|
||||
// Check out https://ajcr.net/stride-guide-part-1/ to see what numpy "strides" are.
|
||||
call_nac3_ndarray_set_strides_by_shape(ctx, ndarray_ptr);
|
||||
|
||||
Ok(ndarray_ptr)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fn call_nac3_ndarray_util_assert_shape_no_negative<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndims: Int<'ctx>,
|
||||
shape_ptr: Pointer<'ctx, IntModel<'ctx>>,
|
||||
) {
|
||||
let sizet = IntModel(generator.get_size_type(ctx.ctx));
|
||||
|
||||
let errctx = prepare_error_context(ctx);
|
||||
FunctionBuilder::begin(
|
||||
ctx,
|
||||
&get_sized_dependent_function_name(sizet, "__nac3_ndarray_util_assert_shape_no_negative"),
|
||||
)
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), errctx)
|
||||
.arg("ndims", sizet, ndims)
|
||||
.arg("shape", PointerModel(sizet), shape_ptr)
|
||||
.returning_void();
|
||||
check_error_context(generator, ctx, errctx);
|
||||
}
|
||||
|
||||
fn call_nac3_ndarray_set_strides_by_shape<'ctx>(
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray_ptr: Pointer<'ctx, StructModel<NpArray<'ctx>>>,
|
||||
) {
|
||||
let sizet = ndarray_ptr.element.0.sizet;
|
||||
|
||||
FunctionBuilder::begin(
|
||||
ctx,
|
||||
&get_sized_dependent_function_name(sizet, "__nac3_ndarray_set_strides_by_shape"),
|
||||
)
|
||||
.arg("ndarray", PointerModel(StructModel(NpArray { sizet })), ndarray_ptr)
|
||||
.returning_void();
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_nbytes<'ctx>(
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray_ptr: Pointer<'ctx, StructModel<NpArray<'ctx>>>,
|
||||
) -> Int<'ctx> {
|
||||
let sizet = ndarray_ptr.element.0.sizet;
|
||||
|
||||
FunctionBuilder::begin(ctx, &get_sized_dependent_function_name(sizet, "__nac3_ndarray_nbytes"))
|
||||
.arg("ndarray", PointerModel(StructModel(NpArray { sizet })), ndarray_ptr)
|
||||
.returning("nbytes", sizet)
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_fill_generic<'ctx>(
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray_ptr: Pointer<'ctx, StructModel<NpArray<'ctx>>>,
|
||||
fill_value_ptr: Pointer<'ctx, ByteModel>,
|
||||
) {
|
||||
let sizet = ndarray_ptr.element.0.sizet;
|
||||
|
||||
FunctionBuilder::begin(
|
||||
ctx,
|
||||
&get_sized_dependent_function_name(sizet, "__nac3_ndarray_fill_generic"),
|
||||
)
|
||||
.arg("ndarray", PointerModel(StructModel(NpArray { sizet })), ndarray_ptr)
|
||||
.arg("pvalue", PointerModel(FixedIntModel(Byte)), fill_value_ptr)
|
||||
.returning_void();
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_len<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray_ptr: Pointer<'ctx, StructModel<NpArray<'ctx>>>,
|
||||
) -> SliceIndex<'ctx> {
|
||||
let sizet = ndarray_ptr.element.0.sizet;
|
||||
let slice_index_model = SliceIndexModel::default();
|
||||
|
||||
let dst_len = slice_index_model.alloca(ctx, "dst_len");
|
||||
|
||||
let errctx = prepare_error_context(ctx);
|
||||
FunctionBuilder::begin(ctx, &get_sized_dependent_function_name(sizet, "__nac3_ndarray_len"))
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), errctx)
|
||||
.arg("ndarray", PointerModel(StructModel(NpArray { sizet })), ndarray_ptr)
|
||||
.arg("dst_len", PointerModel(slice_index_model), dst_len)
|
||||
.returning_void();
|
||||
check_error_context(generator, ctx, errctx);
|
||||
|
||||
dst_len.load(ctx, "len")
|
||||
}
|
|
@ -0,0 +1,162 @@
|
|||
use inkwell::values::BasicValueEnum;
|
||||
|
||||
use crate::{
|
||||
codegen::{
|
||||
classes::{ListValue, UntypedArrayLikeAccessor},
|
||||
model::*,
|
||||
stmt::gen_for_callback_incrementing,
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
typecheck::typedef::{Type, TypeEnum},
|
||||
};
|
||||
|
||||
pub type ProducerWriteToArray<'ctx, G, E> = Box<
|
||||
dyn Fn(&mut G, &mut CodeGenContext<'ctx, '_>, &ArraySlice<'ctx, E>) -> Result<(), String>
|
||||
+ 'ctx,
|
||||
>;
|
||||
|
||||
pub struct Producer<'ctx, G: CodeGenerator + ?Sized, E: Model<'ctx>> {
|
||||
pub count: Int<'ctx>,
|
||||
pub write_to_array: ProducerWriteToArray<'ctx, G, E>,
|
||||
}
|
||||
|
||||
/// TODO: UPDATE DOCUMENTATION
|
||||
/// LLVM-typed implementation for generating a [`Producer`] that sets a list of ints.
|
||||
///
|
||||
/// * `elem_ty` - The element type of the `NDArray`.
|
||||
/// * `shape` - The `shape` parameter used to construct the `NDArray`.
|
||||
///
|
||||
/// ### Notes on `shape`
|
||||
///
|
||||
/// Just like numpy, the `shape` argument can be:
|
||||
/// 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])`
|
||||
///
|
||||
/// See also [`typecheck::type_inferencer::fold_numpy_function_call_shape_argument`] to
|
||||
/// learn how `shape` gets from being a Python user expression to here.
|
||||
pub fn parse_input_shape_arg<'ctx, G>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
shape: BasicValueEnum<'ctx>,
|
||||
shape_ty: Type,
|
||||
) -> Producer<'ctx, G, IntModel<'ctx>>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
{
|
||||
let sizet = IntModel(generator.get_size_type(ctx.ctx));
|
||||
|
||||
match &*ctx.unifier.get_ty(shape_ty) {
|
||||
TypeEnum::TObj { obj_id, .. }
|
||||
if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
// 1. A list of ints; e.g., `np.empty([600, 800, 3])`
|
||||
|
||||
// A list has to be a PointerValue
|
||||
let shape_list = ListValue::from_ptr_val(shape.into_pointer_value(), sizet.0, None);
|
||||
|
||||
// Create `Producer`
|
||||
let ndims = Int(shape_list.load_size(ctx, Some("count")));
|
||||
Producer {
|
||||
count: ndims,
|
||||
write_to_array: Box::new(move |ctx, generator, dst_array| {
|
||||
// Basically iterate through the list and write to `dst_slice` accordingly
|
||||
let init_val = sizet.constant(0).0;
|
||||
let max_val = (ndims.0, false);
|
||||
let incr_val = sizet.constant(1).0;
|
||||
gen_for_callback_incrementing(
|
||||
ctx,
|
||||
generator,
|
||||
init_val,
|
||||
max_val,
|
||||
|generator, ctx, _hooks, axis| {
|
||||
let axis = Int(axis);
|
||||
|
||||
// Get the dimension at `axis`
|
||||
let dim = shape_list
|
||||
.data()
|
||||
.get(ctx, generator, &axis.0, None)
|
||||
.into_int_value();
|
||||
|
||||
// Cast `dim` to SizeT
|
||||
let dim = ctx
|
||||
.builder
|
||||
.build_int_s_extend_or_bit_cast(dim, sizet.0, "dim_casted")
|
||||
.unwrap();
|
||||
|
||||
// Write
|
||||
dst_array.ix(generator, ctx, axis, "dim").store(ctx, Int(dim));
|
||||
Ok(())
|
||||
},
|
||||
incr_val,
|
||||
)
|
||||
}),
|
||||
}
|
||||
}
|
||||
TypeEnum::TTuple { ty: tuple_types } => {
|
||||
// 2. A tuple of ints; e.g., `np.empty((600, 800, 3))`
|
||||
|
||||
// Get the length/size of the tuple, which also happens to be the value of `ndims`.
|
||||
let ndims = tuple_types.len();
|
||||
|
||||
// A tuple has to be a StructValue
|
||||
// Read [`codegen::expr::gen_expr`] to see how `nac3core` translates a Python tuple into LLVM.
|
||||
let shape_tuple = shape.into_struct_value();
|
||||
|
||||
Producer {
|
||||
count: sizet.constant(ndims as u64),
|
||||
write_to_array: Box::new(move |generator, ctx, dst_array| {
|
||||
for axis in 0..ndims {
|
||||
// Get the dimension at `axis`
|
||||
let dim = ctx
|
||||
.builder
|
||||
.build_extract_value(
|
||||
shape_tuple,
|
||||
axis as u32,
|
||||
format!("dim{axis}").as_str(),
|
||||
)
|
||||
.unwrap()
|
||||
.into_int_value();
|
||||
|
||||
// Cast `dim` to SizeT
|
||||
let dim = ctx
|
||||
.builder
|
||||
.build_int_s_extend_or_bit_cast(dim, sizet.0, "dim_casted")
|
||||
.unwrap();
|
||||
|
||||
// Write
|
||||
dst_array
|
||||
.ix(generator, ctx, sizet.constant(axis as u64), "dim")
|
||||
.store(ctx, Int(dim));
|
||||
}
|
||||
Ok(())
|
||||
}),
|
||||
}
|
||||
}
|
||||
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])`
|
||||
|
||||
// The value has to be an integer
|
||||
let shape_int = shape.into_int_value();
|
||||
|
||||
Producer {
|
||||
count: sizet.constant(1),
|
||||
write_to_array: Box::new(move |generator, ctx, dst_array| {
|
||||
// Cast `shape_int` to SizeT
|
||||
let dim = ctx
|
||||
.builder
|
||||
.build_int_s_extend_or_bit_cast(shape_int, sizet.0, "dim_casted")
|
||||
.unwrap();
|
||||
|
||||
// Set shape[0] = shape_int
|
||||
dst_array.ix(generator, ctx, sizet.constant(0), "dim").store(ctx, Int(dim));
|
||||
|
||||
Ok(())
|
||||
}),
|
||||
}
|
||||
}
|
||||
_ => panic!("parse_input_shape_arg encountered unknown type"),
|
||||
}
|
||||
}
|
|
@ -0,0 +1,86 @@
|
|||
use crate::codegen::{model::*, CodeGenContext};
|
||||
|
||||
// nac3core's slicing index/length values are always int32_t
|
||||
pub type SliceIndexInt = Int32;
|
||||
pub type SliceIndexModel = FixedIntModel<SliceIndexInt>;
|
||||
pub type SliceIndex<'ctx> = FixedInt<'ctx, SliceIndexInt>;
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct UserSliceFields {
|
||||
pub start_defined: Field<BoolModel>,
|
||||
pub start: Field<SliceIndexModel>,
|
||||
pub stop_defined: Field<BoolModel>,
|
||||
pub stop: Field<SliceIndexModel>,
|
||||
pub step_defined: Field<BoolModel>,
|
||||
pub step: Field<SliceIndexModel>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct UserSlice;
|
||||
|
||||
impl<'ctx> IsStruct<'ctx> for UserSlice {
|
||||
type Fields = UserSliceFields;
|
||||
|
||||
fn struct_name(&self) -> &'static str {
|
||||
"UserSlice"
|
||||
}
|
||||
|
||||
fn build_fields(&self, builder: &mut FieldBuilder<'ctx>) -> Self::Fields {
|
||||
Self::Fields {
|
||||
start_defined: builder.add_field_auto("start_defined"),
|
||||
start: builder.add_field_auto("start"),
|
||||
stop_defined: builder.add_field_auto("stop_defined"),
|
||||
stop: builder.add_field_auto("stop"),
|
||||
step_defined: builder.add_field_auto("step_defined"),
|
||||
step: builder.add_field_auto("step"),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct RustUserSlice<'ctx> {
|
||||
pub start: Option<SliceIndex<'ctx>>,
|
||||
pub stop: Option<SliceIndex<'ctx>>,
|
||||
pub step: Option<SliceIndex<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> RustUserSlice<'ctx> {
|
||||
// Set the values of an LLVM UserSlice
|
||||
// in the format of Python's `slice()`
|
||||
pub fn write_to_user_slice(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
dst_slice_ptr: Pointer<'ctx, StructModel<UserSlice>>,
|
||||
) {
|
||||
// TODO: make this neater, with a helper lambda?
|
||||
|
||||
let bool_model = BoolModel::default();
|
||||
|
||||
let false_ = bool_model.constant(ctx.ctx, 0);
|
||||
let true_ = bool_model.constant(ctx.ctx, 1);
|
||||
|
||||
match self.start {
|
||||
Some(start) => {
|
||||
dst_slice_ptr.gep(ctx, |f| f.start_defined).store(ctx, true_);
|
||||
dst_slice_ptr.gep(ctx, |f| f.start).store(ctx, start);
|
||||
}
|
||||
None => dst_slice_ptr.gep(ctx, |f| f.start_defined).store(ctx, false_),
|
||||
}
|
||||
|
||||
match self.stop {
|
||||
Some(stop) => {
|
||||
dst_slice_ptr.gep(ctx, |f| f.stop_defined).store(ctx, true_);
|
||||
dst_slice_ptr.gep(ctx, |f| f.stop).store(ctx, stop);
|
||||
}
|
||||
None => dst_slice_ptr.gep(ctx, |f| f.stop_defined).store(ctx, false_),
|
||||
}
|
||||
|
||||
match self.step {
|
||||
Some(step) => {
|
||||
dst_slice_ptr.gep(ctx, |f| f.step_defined).store(ctx, true_);
|
||||
dst_slice_ptr.gep(ctx, |f| f.step).store(ctx, step);
|
||||
}
|
||||
None => dst_slice_ptr.gep(ctx, |f| f.step_defined).store(ctx, false_),
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,181 @@
|
|||
use crate::codegen::{
|
||||
irrt::{
|
||||
error_context::{check_error_context, prepare_error_context, ErrorContext},
|
||||
util::{get_sized_dependent_function_name, FunctionBuilder},
|
||||
},
|
||||
model::*,
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
use super::{
|
||||
ndarray::NpArray,
|
||||
slice::{RustUserSlice, SliceIndex, SliceIndexModel, UserSlice},
|
||||
};
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct NDSubscriptFields {
|
||||
pub type_: Field<ByteModel>, // Defined to be uint8_t in IRRT
|
||||
pub data: Field<PointerModel<ByteModel>>,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct NDSubscript;
|
||||
|
||||
impl<'ctx> IsStruct<'ctx> for NDSubscript {
|
||||
type Fields = NDSubscriptFields;
|
||||
|
||||
fn struct_name(&self) -> &'static str {
|
||||
"NDSubscript"
|
||||
}
|
||||
|
||||
fn build_fields(&self, builder: &mut FieldBuilder<'ctx>) -> Self::Fields {
|
||||
Self::Fields { type_: builder.add_field_auto("type"), data: builder.add_field_auto("data") }
|
||||
}
|
||||
}
|
||||
|
||||
// An enum variant to store the content
|
||||
// and type of an NDSubscript in high level.
|
||||
#[derive(Debug, Clone)]
|
||||
pub enum RustNDSubscript<'ctx> {
|
||||
Index(SliceIndex<'ctx>),
|
||||
Slice(RustUserSlice<'ctx>),
|
||||
}
|
||||
|
||||
impl<'ctx> RustNDSubscript<'ctx> {
|
||||
fn irrt_subscript_id(&self) -> u64 {
|
||||
// Defined in IRRT
|
||||
match self {
|
||||
RustNDSubscript::Index(_) => 0,
|
||||
RustNDSubscript::Slice(_) => 1,
|
||||
}
|
||||
}
|
||||
|
||||
fn write_to_ndsubscript(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
dst_ndsubscript_ptr: Pointer<'ctx, StructModel<NDSubscript>>,
|
||||
) {
|
||||
let byte_model = ByteModel::default();
|
||||
let slice_index_model = SliceIndexModel::default();
|
||||
let user_slice_model = StructModel(UserSlice);
|
||||
|
||||
// Set `dst_ndsubscript_ptr->type`
|
||||
dst_ndsubscript_ptr
|
||||
.gep(ctx, |f| f.type_)
|
||||
.store(ctx, byte_model.constant(ctx.ctx, self.irrt_subscript_id()));
|
||||
|
||||
// Set `dst_ndsubscript_ptr->data`
|
||||
let data = match self {
|
||||
RustNDSubscript::Index(in_index) => {
|
||||
let index_ptr = slice_index_model.alloca(ctx, "index");
|
||||
index_ptr.store(ctx, *in_index);
|
||||
index_ptr.cast_to(ctx, FixedIntModel(Byte), "")
|
||||
}
|
||||
RustNDSubscript::Slice(in_rust_slice) => {
|
||||
let user_slice_ptr = user_slice_model.alloca(ctx, "user_slice");
|
||||
in_rust_slice.write_to_user_slice(ctx, user_slice_ptr);
|
||||
user_slice_ptr.cast_to(ctx, FixedIntModel(Byte), "")
|
||||
}
|
||||
};
|
||||
dst_ndsubscript_ptr.gep(ctx, |f| f.data).store(ctx, data);
|
||||
}
|
||||
|
||||
// Allocate an array of subscripts onto the stack and return its stack pointer
|
||||
pub fn alloca_subscripts(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
subscripts: &[RustNDSubscript<'ctx>],
|
||||
) -> ArraySlice<'ctx, StructModel<NDSubscript>> {
|
||||
let index_model = Int32Model::default();
|
||||
|
||||
let ndsubscript_model = StructModel(NDSubscript);
|
||||
let ndsubscript_array = ndsubscript_model.array_alloca(
|
||||
ctx,
|
||||
index_model.constant(ctx.ctx, subscripts.len() as u64).to_int(),
|
||||
"ndsubscripts",
|
||||
);
|
||||
|
||||
for (i, rust_ndsubscript) in subscripts.iter().enumerate() {
|
||||
let ndsubscript_ptr = ndsubscript_array.ix_unchecked(
|
||||
ctx,
|
||||
index_model.constant(ctx.ctx, i as u64).to_int(),
|
||||
"",
|
||||
);
|
||||
rust_ndsubscript.write_to_ndsubscript(ctx, ndsubscript_ptr);
|
||||
}
|
||||
|
||||
ndsubscript_array
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn deduce_ndims_after_slicing(slices: &[RustNDSubscript], original_ndims: i32) -> i32 {
|
||||
let mut final_ndims: i32 = original_ndims;
|
||||
for slice in slices {
|
||||
match slice {
|
||||
RustNDSubscript::Index(_) => {
|
||||
// Index subscripts demotes the rank by 1
|
||||
final_ndims -= 1;
|
||||
}
|
||||
RustNDSubscript::Slice(_) => {
|
||||
// Nothing
|
||||
}
|
||||
}
|
||||
}
|
||||
final_ndims
|
||||
}
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_subscript_deduce_ndims_after_slicing<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
sizet: IntModel<'ctx>,
|
||||
ndims: Int<'ctx>,
|
||||
num_ndsubscripts: Int<'ctx>,
|
||||
ndsubscripts: Pointer<'ctx, StructModel<NDSubscript>>,
|
||||
) -> Int<'ctx> {
|
||||
let result = sizet.alloca(ctx, "result");
|
||||
|
||||
let errctx_ptr = prepare_error_context(ctx);
|
||||
FunctionBuilder::begin(
|
||||
ctx,
|
||||
&get_sized_dependent_function_name(
|
||||
sizet,
|
||||
"__nac3_ndarray_subscript_deduce_ndims_after_slicing",
|
||||
),
|
||||
)
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), errctx_ptr)
|
||||
.arg("result", PointerModel(sizet), result)
|
||||
.arg("ndims", sizet, ndims)
|
||||
.arg("num_ndsubscripts", sizet, num_ndsubscripts)
|
||||
.arg("ndsubscripts", PointerModel(StructModel(NDSubscript)), ndsubscripts)
|
||||
.returning_void();
|
||||
check_error_context(generator, ctx, errctx_ptr);
|
||||
|
||||
result.load(ctx, "final_ndims")
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_subscript<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
num_subscripts: SliceIndex<'ctx>,
|
||||
subscripts: Pointer<'ctx, StructModel<NDSubscript>>,
|
||||
src_ndarray: Pointer<'ctx, StructModel<NpArray<'ctx>>>,
|
||||
dst_ndarray: Pointer<'ctx, StructModel<NpArray<'ctx>>>,
|
||||
) {
|
||||
let sizet = src_ndarray.element.0.sizet;
|
||||
assert!(sizet.same_as(dst_ndarray.element.0.sizet)); // SizeT of src_ndarray and dst_ndarray must match
|
||||
|
||||
let errctx_ptr = prepare_error_context(ctx);
|
||||
|
||||
FunctionBuilder::begin(
|
||||
ctx,
|
||||
&get_sized_dependent_function_name(sizet, "__nac3_ndarray_subscript"),
|
||||
)
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), errctx_ptr)
|
||||
.arg("num_subscripts", SliceIndexModel::default(), num_subscripts)
|
||||
.arg("subscripts", PointerModel(StructModel(NDSubscript)), subscripts)
|
||||
.arg("src_ndarray", PointerModel(StructModel(NpArray { sizet })), src_ndarray)
|
||||
.arg("dst_ndarray", PointerModel(StructModel(NpArray { sizet })), dst_ndarray)
|
||||
.returning_void();
|
||||
|
||||
check_error_context(generator, ctx, errctx_ptr);
|
||||
}
|
|
@ -1,76 +0,0 @@
|
|||
use inkwell::{
|
||||
values::{BasicValueEnum, CallSiteValue, IntValue},
|
||||
IntPredicate,
|
||||
};
|
||||
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(),
|
||||
))
|
||||
}
|
||||
|
||||
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()
|
||||
}
|
|
@ -0,0 +1,26 @@
|
|||
#[cfg(test)]
|
||||
mod tests {
|
||||
use std::{path::Path, process::Command};
|
||||
|
||||
#[test]
|
||||
fn run_irrt_test() {
|
||||
assert!(
|
||||
cfg!(feature = "test"),
|
||||
"Please do `cargo test -F test` to compile `irrt_test.out` and run test"
|
||||
);
|
||||
|
||||
let irrt_test_out_path = Path::new(concat!(env!("OUT_DIR"), "/irrt_test.out"));
|
||||
let output = Command::new(irrt_test_out_path.to_str().unwrap()).output().unwrap();
|
||||
|
||||
if !output.status.success() {
|
||||
eprintln!("irrt_test failed with status {}:", output.status);
|
||||
eprintln!("====== stdout ======");
|
||||
eprintln!("{}", String::from_utf8(output.stdout).unwrap());
|
||||
eprintln!("====== stderr ======");
|
||||
eprintln!("{}", String::from_utf8(output.stderr).unwrap());
|
||||
eprintln!("====================");
|
||||
|
||||
panic!("irrt_test failed");
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,79 @@
|
|||
use inkwell::{
|
||||
types::{BasicMetadataTypeEnum, BasicType, IntType},
|
||||
values::{AnyValue, BasicMetadataValueEnum},
|
||||
};
|
||||
|
||||
use crate::{
|
||||
codegen::{model::*, CodeGenContext},
|
||||
util::SizeVariant,
|
||||
};
|
||||
|
||||
fn get_size_variant(ty: IntType) -> SizeVariant {
|
||||
match ty.get_bit_width() {
|
||||
32 => SizeVariant::Bits32,
|
||||
64 => SizeVariant::Bits64,
|
||||
_ => unreachable!("Unsupported int type bit width {}", ty.get_bit_width()),
|
||||
}
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn get_sized_dependent_function_name(ty: IntModel, fn_name: &str) -> String {
|
||||
let mut fn_name = fn_name.to_owned();
|
||||
match get_size_variant(ty.0) {
|
||||
SizeVariant::Bits32 => {
|
||||
// Do nothing, `fn_name` already has the correct name
|
||||
}
|
||||
SizeVariant::Bits64 => {
|
||||
// Append "64", this is the naming convention
|
||||
fn_name.push_str("64");
|
||||
}
|
||||
}
|
||||
fn_name
|
||||
}
|
||||
|
||||
// TODO: Variadic argument?
|
||||
pub struct FunctionBuilder<'ctx, 'a> {
|
||||
ctx: &'a CodeGenContext<'ctx, 'a>,
|
||||
fn_name: &'a str,
|
||||
arguments: Vec<(BasicMetadataTypeEnum<'ctx>, BasicMetadataValueEnum<'ctx>)>,
|
||||
}
|
||||
|
||||
impl<'ctx, 'a> FunctionBuilder<'ctx, 'a> {
|
||||
pub fn begin(ctx: &'a CodeGenContext<'ctx, 'a>, fn_name: &'a str) -> Self {
|
||||
FunctionBuilder { ctx, fn_name, arguments: Vec::new() }
|
||||
}
|
||||
|
||||
// The name is for self-documentation
|
||||
#[must_use]
|
||||
pub fn arg<M: Model<'ctx>>(mut self, _name: &'static str, model: M, value: M::Value) -> Self {
|
||||
self.arguments
|
||||
.push((model.get_llvm_type(self.ctx.ctx).into(), value.get_llvm_value().into()));
|
||||
self
|
||||
}
|
||||
|
||||
pub fn returning<M: Model<'ctx>>(self, name: &'static str, return_model: M) -> M::Value {
|
||||
let (param_tys, param_vals): (Vec<_>, Vec<_>) = self.arguments.into_iter().unzip();
|
||||
|
||||
let function = self.ctx.module.get_function(self.fn_name).unwrap_or_else(|| {
|
||||
let return_type = return_model.get_llvm_type(self.ctx.ctx);
|
||||
let fn_type = return_type.fn_type(¶m_tys, false);
|
||||
self.ctx.module.add_function(self.fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let ret = self.ctx.builder.build_call(function, ¶m_vals, name).unwrap();
|
||||
return_model.review(self.ctx.ctx, ret.as_any_value_enum())
|
||||
}
|
||||
|
||||
// TODO: Code duplication, but otherwise returning<S: Optic<'ctx>> cannot resolve S if return_optic = None
|
||||
pub fn returning_void(self) {
|
||||
let (param_tys, param_vals): (Vec<_>, Vec<_>) = self.arguments.into_iter().unzip();
|
||||
|
||||
let function = self.ctx.module.get_function(self.fn_name).unwrap_or_else(|| {
|
||||
let return_type = self.ctx.ctx.void_type();
|
||||
let fn_type = return_type.fn_type(¶m_tys, false);
|
||||
self.ctx.module.add_function(self.fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
self.ctx.builder.build_call(function, ¶m_vals, "").unwrap();
|
||||
}
|
||||
}
|
|
@ -1,14 +1,12 @@
|
|||
use inkwell::{
|
||||
context::Context,
|
||||
intrinsics::Intrinsic,
|
||||
types::{AnyTypeEnum::IntType, FloatType},
|
||||
values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
use crate::codegen::CodeGenContext;
|
||||
use inkwell::context::Context;
|
||||
use inkwell::intrinsics::Intrinsic;
|
||||
use inkwell::types::AnyTypeEnum::IntType;
|
||||
use inkwell::types::FloatType;
|
||||
use inkwell::values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue, PointerValue};
|
||||
use inkwell::AddressSpace;
|
||||
use itertools::Either;
|
||||
|
||||
use super::CodeGenContext;
|
||||
|
||||
/// Returns the string representation for the floating-point type `ft` when used in intrinsic
|
||||
/// functions.
|
||||
fn get_float_intrinsic_repr(ctx: &Context, ft: FloatType) -> &'static str {
|
||||
|
@ -37,38 +35,52 @@ fn get_float_intrinsic_repr(ctx: &Context, ft: FloatType) -> &'static str {
|
|||
unreachable!()
|
||||
}
|
||||
|
||||
/// Invokes the [`llvm.va_start`](https://llvm.org/docs/LangRef.html#llvm-va-start-intrinsic)
|
||||
/// Invokes the [`llvm.lifetime.start`](https://releases.llvm.org/14.0.0/docs/LangRef.html#llvm-lifetime-start-intrinsic)
|
||||
/// intrinsic.
|
||||
pub fn call_va_start<'ctx>(ctx: &CodeGenContext<'ctx, '_>, arglist: PointerValue<'ctx>) {
|
||||
const FN_NAME: &str = "llvm.va_start";
|
||||
|
||||
pub fn call_lifetime_start<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
ptr: PointerValue<'ctx>,
|
||||
) {
|
||||
const FN_NAME: &str = "llvm.lifetime.start";
|
||||
// NOTE: inkwell temporary workaround, see [`call_stackrestore`] for details
|
||||
let intrinsic_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
|
||||
let llvm_void = ctx.ctx.void_type();
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let fn_type = llvm_void.fn_type(&[llvm_p0i8.into()], false);
|
||||
let llvm_i64 = ctx.ctx.i64_type();
|
||||
let llvm_p0i8 = ctx.ctx.i8_type().ptr_type(AddressSpace::default());
|
||||
let fn_type = llvm_void.fn_type(&[llvm_i64.into(), llvm_p0i8.into()], false);
|
||||
|
||||
ctx.module.add_function(FN_NAME, fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder.build_call(intrinsic_fn, &[arglist.into()], "").unwrap();
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[size.into(), ptr.into()], "")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.unwrap();
|
||||
}
|
||||
|
||||
/// Invokes the [`llvm.va_start`](https://llvm.org/docs/LangRef.html#llvm-va-start-intrinsic)
|
||||
/// Invokes the [`llvm.lifetime.end`](https://releases.llvm.org/14.0.0/docs/LangRef.html#llvm-lifetime-end-intrinsic)
|
||||
/// intrinsic.
|
||||
pub fn call_va_end<'ctx>(ctx: &CodeGenContext<'ctx, '_>, arglist: PointerValue<'ctx>) {
|
||||
const FN_NAME: &str = "llvm.va_end";
|
||||
|
||||
pub fn call_lifetime_end<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
ptr: PointerValue<'ctx>,
|
||||
) {
|
||||
const FN_NAME: &str = "llvm.lifetime.end";
|
||||
// NOTE: inkwell temporary workaround, see [`call_stackrestore`] for details
|
||||
let intrinsic_fn = ctx.module.get_function(FN_NAME).unwrap_or_else(|| {
|
||||
let llvm_void = ctx.ctx.void_type();
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let fn_type = llvm_void.fn_type(&[llvm_p0i8.into()], false);
|
||||
let llvm_i64 = ctx.ctx.i64_type();
|
||||
let llvm_p0i8 = ctx.ctx.i8_type().ptr_type(AddressSpace::default());
|
||||
let fn_type = llvm_void.fn_type(&[llvm_i64.into(), llvm_p0i8.into()], false);
|
||||
|
||||
ctx.module.add_function(FN_NAME, fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder.build_call(intrinsic_fn, &[arglist.into()], "").unwrap();
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[size.into(), ptr.into()], "")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.unwrap();
|
||||
}
|
||||
|
||||
/// Invokes the [`llvm.stacksave`](https://llvm.org/docs/LangRef.html#llvm-stacksave-intrinsic)
|
||||
|
@ -185,7 +197,7 @@ pub fn call_memcpy_generic<'ctx>(
|
|||
dest
|
||||
} else {
|
||||
ctx.builder
|
||||
.build_bit_cast(dest, llvm_p0i8, "")
|
||||
.build_bitcast(dest, llvm_p0i8, "")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
};
|
||||
|
@ -193,7 +205,7 @@ pub fn call_memcpy_generic<'ctx>(
|
|||
src
|
||||
} else {
|
||||
ctx.builder
|
||||
.build_bit_cast(src, llvm_p0i8, "")
|
||||
.build_bitcast(src, llvm_p0i8, "")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
};
|
||||
|
@ -207,9 +219,8 @@ pub fn call_memcpy_generic<'ctx>(
|
|||
/// * `$ctx:ident`: Reference to the current Code Generation Context
|
||||
/// * `$name:ident`: Optional name to be assigned to the llvm build call (Option<&str>)
|
||||
/// * `$llvm_name:literal`: Name of underlying llvm intrinsic function
|
||||
/// * `$map_fn:ident`: Mapping function to be applied on `BasicValue` (`BasicValue` -> Function Return Type).
|
||||
/// Use `BasicValueEnum::into_int_value` for Integer return type and
|
||||
/// `BasicValueEnum::into_float_value` for Float return type
|
||||
/// * `$map_fn:ident`: Mapping function to be applied on `BasicValue` (`BasicValue` -> Function Return Type)
|
||||
/// Use `BasicValueEnum::into_int_value` for Integer return type and `BasicValueEnum::into_float_value` for Float return type
|
||||
/// * `$llvm_ty:ident`: Type of first operand
|
||||
/// * `,($val:ident)*`: Comma separated list of operands
|
||||
macro_rules! generate_llvm_intrinsic_fn_body {
|
||||
|
@ -225,7 +236,7 @@ macro_rules! generate_llvm_intrinsic_fn_body {
|
|||
/// Arguments:
|
||||
/// * `float/int`: Indicates the return and argument type of the function
|
||||
/// * `$fn_name:ident`: The identifier of the rust function to be generated
|
||||
/// * `$llvm_name:literal`: Name of underlying llvm intrinsic function.
|
||||
/// * `$llvm_name:literal`: Name of underlying llvm intrinsic function
|
||||
/// Omit "llvm." prefix from the function name i.e. use "ceil" instead of "llvm.ceil"
|
||||
/// * `$val:ident`: The operand for unary operations
|
||||
/// * `$val1:ident`, `$val2:ident`: The operands for binary operations
|
||||
|
|
|
@ -1,12 +1,12 @@
|
|||
use std::{
|
||||
collections::{HashMap, HashSet},
|
||||
sync::{
|
||||
atomic::{AtomicBool, Ordering},
|
||||
Arc,
|
||||
use crate::{
|
||||
codegen::classes::{ListType, ProxyType, RangeType},
|
||||
symbol_resolver::{StaticValue, SymbolResolver},
|
||||
toplevel::{helper::PrimDef, TopLevelContext, TopLevelDef},
|
||||
typecheck::{
|
||||
type_inferencer::{CodeLocation, PrimitiveStore},
|
||||
typedef::{CallId, FuncArg, Type, TypeEnum, Unifier},
|
||||
},
|
||||
thread,
|
||||
};
|
||||
|
||||
use crossbeam::channel::{unbounded, Receiver, Sender};
|
||||
use inkwell::{
|
||||
attributes::{Attribute, AttributeLoc},
|
||||
|
@ -23,53 +23,36 @@ use inkwell::{
|
|||
values::{BasicValueEnum, FunctionValue, IntValue, PhiValue, PointerValue},
|
||||
AddressSpace, IntPredicate, OptimizationLevel,
|
||||
};
|
||||
use irrt::{error_context::Str, numpy::ndarray::NpArray};
|
||||
use itertools::Itertools;
|
||||
use parking_lot::{Condvar, Mutex};
|
||||
|
||||
use model::*;
|
||||
use nac3parser::ast::{Location, Stmt, StrRef};
|
||||
|
||||
use crate::{
|
||||
symbol_resolver::{StaticValue, SymbolResolver},
|
||||
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys, TopLevelContext, TopLevelDef},
|
||||
typecheck::{
|
||||
type_inferencer::{CodeLocation, PrimitiveStore},
|
||||
typedef::{CallId, FuncArg, Type, TypeEnum, Unifier},
|
||||
},
|
||||
use parking_lot::{Condvar, Mutex};
|
||||
use std::collections::{HashMap, HashSet};
|
||||
use std::sync::{
|
||||
atomic::{AtomicBool, Ordering},
|
||||
Arc,
|
||||
};
|
||||
use concrete_type::{ConcreteType, ConcreteTypeEnum, ConcreteTypeStore};
|
||||
pub use generator::{CodeGenerator, DefaultCodeGenerator};
|
||||
use types::{ListType, NDArrayType, ProxyType, RangeType};
|
||||
use std::thread;
|
||||
|
||||
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 numpy_new;
|
||||
pub mod stmt;
|
||||
pub mod types;
|
||||
pub mod values;
|
||||
|
||||
#[cfg(test)]
|
||||
mod test;
|
||||
|
||||
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
|
||||
/// causing the assertion.
|
||||
macro_rules! codegen_unreachable {
|
||||
($ctx:expr $(,)?) => {
|
||||
std::unreachable!("unreachable code while processing {}", &$ctx.current_loc)
|
||||
};
|
||||
($ctx:expr, $($arg:tt)*) => {
|
||||
std::unreachable!("unreachable code while processing {}: {}", &$ctx.current_loc, std::format!("{}", std::format_args!($($arg)+)))
|
||||
};
|
||||
}
|
||||
|
||||
pub(crate) use codegen_unreachable;
|
||||
}
|
||||
use concrete_type::{ConcreteType, ConcreteTypeEnum, ConcreteTypeStore};
|
||||
pub use generator::{CodeGenerator, DefaultCodeGenerator};
|
||||
|
||||
#[derive(Default)]
|
||||
pub struct StaticValueStore {
|
||||
|
@ -89,16 +72,6 @@ pub struct CodeGenLLVMOptions {
|
|||
pub target: CodeGenTargetMachineOptions,
|
||||
}
|
||||
|
||||
impl CodeGenLLVMOptions {
|
||||
/// Creates a [`TargetMachine`] using the target options specified by this struct.
|
||||
///
|
||||
/// See [`Target::create_target_machine`].
|
||||
#[must_use]
|
||||
pub fn create_target_machine(&self) -> Option<TargetMachine> {
|
||||
self.target.create_target_machine(self.opt_level)
|
||||
}
|
||||
}
|
||||
|
||||
/// Additional options for code generation for the target machine.
|
||||
#[derive(Clone, Debug, Eq, PartialEq)]
|
||||
pub struct CodeGenTargetMachineOptions {
|
||||
|
@ -369,10 +342,6 @@ impl WorkerRegistry {
|
|||
let mut builder = context.create_builder();
|
||||
let mut module = context.create_module(generator.get_name());
|
||||
|
||||
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",
|
||||
inkwell::module::FlagBehavior::Warning,
|
||||
|
@ -396,10 +365,6 @@ impl WorkerRegistry {
|
|||
errors.insert(e);
|
||||
// create a new empty module just to continue codegen and collect errors
|
||||
module = context.create_module(&format!("{}_recover", generator.get_name()));
|
||||
|
||||
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());
|
||||
}
|
||||
}
|
||||
*self.task_count.lock() -= 1;
|
||||
|
@ -465,7 +430,7 @@ pub struct CodeGenTask {
|
|||
fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ctx: &'ctx Context,
|
||||
module: &Module<'ctx>,
|
||||
generator: &G,
|
||||
generator: &mut G,
|
||||
unifier: &mut Unifier,
|
||||
top_level: &TopLevelContext,
|
||||
type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
|
||||
|
@ -510,12 +475,8 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
|||
}
|
||||
|
||||
TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
|
||||
let (dtype, _) = unpack_ndarray_var_tys(unifier, ty);
|
||||
let element_type = get_llvm_type(
|
||||
ctx, module, generator, unifier, top_level, type_cache, dtype,
|
||||
);
|
||||
|
||||
NDArrayType::new(generator, ctx, element_type).as_base_type().into()
|
||||
let sizet = IntModel(generator.get_size_type(ctx));
|
||||
PointerModel(StructModel(NpArray { sizet })).get_llvm_type(ctx)
|
||||
}
|
||||
|
||||
_ => unreachable!(
|
||||
|
@ -559,10 +520,8 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
|||
};
|
||||
return ty;
|
||||
}
|
||||
TTuple { ty, is_vararg_ctx } => {
|
||||
TTuple { ty } => {
|
||||
// a struct with fields in the order present in the tuple
|
||||
assert!(!is_vararg_ctx, "Tuples in vararg context must be instantiated with the correct number of arguments before calling get_llvm_type");
|
||||
|
||||
let fields = ty
|
||||
.iter()
|
||||
.map(|ty| {
|
||||
|
@ -592,7 +551,7 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
|||
fn get_llvm_abi_type<'ctx, G: CodeGenerator + ?Sized>(
|
||||
ctx: &'ctx Context,
|
||||
module: &Module<'ctx>,
|
||||
generator: &G,
|
||||
generator: &mut G,
|
||||
unifier: &mut Unifier,
|
||||
top_level: &TopLevelContext,
|
||||
type_cache: &mut HashMap<Type, BasicTypeEnum<'ctx>>,
|
||||
|
@ -601,11 +560,11 @@ fn get_llvm_abi_type<'ctx, G: CodeGenerator + ?Sized>(
|
|||
) -> BasicTypeEnum<'ctx> {
|
||||
// If the type is used in the definition of a function, return `i1` instead of `i8` for ABI
|
||||
// consistency.
|
||||
if unifier.unioned(ty, primitives.bool) {
|
||||
return if unifier.unioned(ty, primitives.bool) {
|
||||
ctx.bool_type().into()
|
||||
} else {
|
||||
get_llvm_type(ctx, module, generator, unifier, top_level, type_cache, ty)
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
/// Whether `sret` is needed for a return value with type `ty`.
|
||||
|
@ -630,40 +589,6 @@ fn need_sret(ty: BasicTypeEnum) -> bool {
|
|||
need_sret_impl(ty, true)
|
||||
}
|
||||
|
||||
/// Returns the [`BasicTypeEnum`] representing a `va_list` struct for variadic arguments.
|
||||
fn get_llvm_valist_type<'ctx>(ctx: &'ctx Context, triple: &TargetTriple) -> BasicTypeEnum<'ctx> {
|
||||
let triple = TargetMachine::normalize_triple(triple);
|
||||
let triple = triple.as_str().to_str().unwrap();
|
||||
let arch = triple.split('-').next().unwrap();
|
||||
|
||||
let llvm_pi8 = ctx.i8_type().ptr_type(AddressSpace::default());
|
||||
|
||||
// Referenced from parseArch() in llvm/lib/Support/Triple.cpp
|
||||
match arch {
|
||||
"i386" | "i486" | "i586" | "i686" | "riscv32" => {
|
||||
ctx.i8_type().ptr_type(AddressSpace::default()).into()
|
||||
}
|
||||
"amd64" | "x86_64" | "x86_64h" => {
|
||||
let llvm_i32 = ctx.i32_type();
|
||||
|
||||
let va_list_tag = ctx.opaque_struct_type("struct.__va_list_tag");
|
||||
va_list_tag.set_body(
|
||||
&[llvm_i32.into(), llvm_i32.into(), llvm_pi8.into(), llvm_pi8.into()],
|
||||
false,
|
||||
);
|
||||
va_list_tag.into()
|
||||
}
|
||||
"armv7" => {
|
||||
let va_list = ctx.opaque_struct_type("struct.__va_list");
|
||||
va_list.set_body(&[llvm_pi8.into()], false);
|
||||
va_list.into()
|
||||
}
|
||||
triple => {
|
||||
todo!("Unsupported platform for varargs: {triple}")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Implementation for generating LLVM IR for a function.
|
||||
pub fn gen_func_impl<
|
||||
'ctx,
|
||||
|
@ -721,7 +646,7 @@ pub fn gen_func_impl<
|
|||
..primitives
|
||||
};
|
||||
|
||||
let mut type_cache: HashMap<_, _> = [
|
||||
let mut type_cache: HashMap<_, BasicTypeEnum<'_>> = [
|
||||
(primitives.int32, context.i32_type().into()),
|
||||
(primitives.int64, context.i64_type().into()),
|
||||
(primitives.uint32, context.i32_type().into()),
|
||||
|
@ -729,19 +654,8 @@ pub fn gen_func_impl<
|
|||
(primitives.float, context.f64_type().into()),
|
||||
(primitives.bool, context.i8_type().into()),
|
||||
(primitives.str, {
|
||||
let name = "str";
|
||||
match module.get_struct_type(name) {
|
||||
None => {
|
||||
let str_type = context.opaque_struct_type("str");
|
||||
let fields = [
|
||||
context.i8_type().ptr_type(AddressSpace::default()).into(),
|
||||
generator.get_size_type(context).into(),
|
||||
];
|
||||
str_type.set_body(&fields, false);
|
||||
str_type.into()
|
||||
}
|
||||
Some(t) => t.as_basic_type_enum(),
|
||||
}
|
||||
let sizet = IntModel(generator.get_size_type(context));
|
||||
StructModel(Str { sizet }).get_llvm_type(context)
|
||||
}),
|
||||
(primitives.range, RangeType::new(context).as_base_type().into()),
|
||||
(primitives.exception, {
|
||||
|
@ -749,10 +663,12 @@ pub fn gen_func_impl<
|
|||
if let Some(t) = module.get_struct_type(name) {
|
||||
t.ptr_type(AddressSpace::default()).as_basic_type_enum()
|
||||
} else {
|
||||
let sizet = IntModel(generator.get_size_type(context));
|
||||
let str_ty = StructModel(Str { sizet }).get_llvm_type(context);
|
||||
|
||||
let exception = context.opaque_struct_type("Exception");
|
||||
let int32 = context.i32_type().into();
|
||||
let int64 = context.i64_type().into();
|
||||
let str_ty = module.get_struct_type("str").unwrap().as_basic_type_enum();
|
||||
let fields = [int32, str_ty, int32, int32, str_ty, str_ty, int64, int64, int64];
|
||||
exception.set_body(&fields, false);
|
||||
exception.ptr_type(AddressSpace::default()).as_basic_type_enum()
|
||||
|
@ -775,7 +691,6 @@ pub fn gen_func_impl<
|
|||
name: arg.name,
|
||||
ty: task.store.to_unifier_type(&mut unifier, &primitives, arg.ty, &mut cache),
|
||||
default_value: arg.default_value.clone(),
|
||||
is_vararg: arg.is_vararg,
|
||||
})
|
||||
.collect_vec(),
|
||||
task.store.to_unifier_type(&mut unifier, &primitives, *ret, &mut cache),
|
||||
|
@ -798,10 +713,7 @@ pub fn gen_func_impl<
|
|||
let has_sret = ret_type.map_or(false, |ty| need_sret(ty));
|
||||
let mut params = args
|
||||
.iter()
|
||||
.filter(|arg| !arg.is_vararg)
|
||||
.map(|arg| {
|
||||
debug_assert!(!arg.is_vararg);
|
||||
|
||||
get_llvm_abi_type(
|
||||
context,
|
||||
&module,
|
||||
|
@ -820,12 +732,9 @@ pub fn gen_func_impl<
|
|||
params.insert(0, ret_type.unwrap().ptr_type(AddressSpace::default()).into());
|
||||
}
|
||||
|
||||
debug_assert!(matches!(args.iter().filter(|arg| arg.is_vararg).count(), 0..=1));
|
||||
let vararg_arg = args.iter().find(|arg| arg.is_vararg);
|
||||
|
||||
let fn_type = match ret_type {
|
||||
Some(ret_type) if !has_sret => ret_type.fn_type(¶ms, vararg_arg.is_some()),
|
||||
_ => context.void_type().fn_type(¶ms, vararg_arg.is_some()),
|
||||
Some(ret_type) if !has_sret => ret_type.fn_type(¶ms, false),
|
||||
_ => context.void_type().fn_type(¶ms, false),
|
||||
};
|
||||
|
||||
let symbol = &task.symbol_name;
|
||||
|
@ -853,10 +762,9 @@ pub fn gen_func_impl<
|
|||
builder.position_at_end(init_bb);
|
||||
let body_bb = context.append_basic_block(fn_val, "body");
|
||||
|
||||
// Store non-vararg argument values into local variables
|
||||
let mut var_assignment = HashMap::new();
|
||||
let offset = u32::from(has_sret);
|
||||
for (n, arg) in args.iter().enumerate().filter(|(_, arg)| !arg.is_vararg) {
|
||||
for (n, arg) in args.iter().enumerate() {
|
||||
let param = fn_val.get_nth_param((n as u32) + offset).unwrap();
|
||||
let local_type = get_llvm_type(
|
||||
context,
|
||||
|
@ -889,8 +797,6 @@ pub fn gen_func_impl<
|
|||
var_assignment.insert(arg.name, (alloca, None, 0));
|
||||
}
|
||||
|
||||
// TODO: Save vararg parameters as list
|
||||
|
||||
let return_buffer = if has_sret {
|
||||
Some(fn_val.get_nth_param(0).unwrap().into_pointer_value())
|
||||
} else {
|
||||
|
@ -1113,9 +1019,3 @@ fn gen_in_range_check<'ctx>(
|
|||
|
||||
ctx.builder.build_int_compare(IntPredicate::SLT, lo, hi, "cmp").unwrap()
|
||||
}
|
||||
|
||||
/// Returns the internal name for the `va_count` argument, used to indicate the number of arguments
|
||||
/// passed to the variadic function.
|
||||
fn get_va_count_arg_name(arg_name: StrRef) -> StrRef {
|
||||
format!("__{}_va_count", &arg_name).into()
|
||||
}
|
||||
|
|
|
@ -0,0 +1,70 @@
|
|||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicTypeEnum},
|
||||
values::{AnyValueEnum, BasicValueEnum},
|
||||
};
|
||||
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
use super::{slice::ArraySlice, Int, Pointer};
|
||||
|
||||
pub trait ModelValue<'ctx>: Clone + Copy {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx>;
|
||||
}
|
||||
|
||||
// Should have been within [`Model<'ctx>`],
|
||||
// but rust object safety requirements made it necessary to
|
||||
// split this interface out
|
||||
pub trait CanCheckLLVMType<'ctx> {
|
||||
/// Check if `scrutinee` matches the same LLVM type of this [`Model<'ctx>`].
|
||||
///
|
||||
/// If they don't not match, a human-readable error message is returned.
|
||||
fn check_llvm_type(
|
||||
&self,
|
||||
ctx: &'ctx Context,
|
||||
scrutinee: AnyTypeEnum<'ctx>,
|
||||
) -> Result<(), String>;
|
||||
}
|
||||
|
||||
/// A [`Model`] is a type-safe concrete representation of a complex LLVM type.
|
||||
pub trait Model<'ctx>: Clone + Copy + CanCheckLLVMType<'ctx> + Sized {
|
||||
/// The values that inhabit this [`Model<'ctx>`].
|
||||
///
|
||||
/// ...that is the type of wrapper that wraps the LLVM values that inhabit [`Model<'ctx>::get_llvm_type()`].
|
||||
type Value: ModelValue<'ctx>;
|
||||
|
||||
/// Get the [`BasicTypeEnum<'ctx>`] this [`Model<'ctx>`] is representing.
|
||||
fn get_llvm_type(&self, ctx: &'ctx Context) -> BasicTypeEnum<'ctx>;
|
||||
|
||||
/// Cast an [`AnyValueEnum<'ctx>`] into a [`Self::Value`].
|
||||
///
|
||||
/// Panics if `value` cannot pass [`CanCheckLLVMType::check_llvm_type()`].
|
||||
fn review(&self, ctx: &'ctx Context, value: AnyValueEnum<'ctx>) -> Self::Value;
|
||||
|
||||
/// Build an instruction to allocate a value of [`Model::get_llvm_type`].
|
||||
fn alloca(&self, ctx: &CodeGenContext<'ctx, '_>, name: &str) -> Pointer<'ctx, Self> {
|
||||
Pointer {
|
||||
element: *self,
|
||||
value: ctx.builder.build_alloca(self.get_llvm_type(ctx.ctx), name).unwrap(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Build an instruction to allocate an array of [`Model::get_llvm_type`].
|
||||
fn array_alloca(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
count: Int<'ctx>,
|
||||
name: &str,
|
||||
) -> ArraySlice<'ctx, Self> {
|
||||
ArraySlice {
|
||||
num_elements: count,
|
||||
pointer: Pointer {
|
||||
element: *self,
|
||||
value: ctx
|
||||
.builder
|
||||
.build_array_alloca(self.get_llvm_type(ctx.ctx), count.0, name)
|
||||
.unwrap(),
|
||||
},
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,220 @@
|
|||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyType, AnyTypeEnum, BasicType, BasicTypeEnum, StructType},
|
||||
values::{AnyValueEnum, BasicValue, BasicValueEnum, StructValue},
|
||||
};
|
||||
use itertools::{izip, Itertools};
|
||||
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
use super::{core::CanCheckLLVMType, Model, ModelValue, Pointer};
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Field<E> {
|
||||
pub gep_index: u64,
|
||||
pub name: &'static str,
|
||||
pub element: E,
|
||||
}
|
||||
|
||||
// Like [`Field<E>`] but element must be [`BasicTypeEnum<'ctx>`]
|
||||
struct FieldLLVM<'ctx> {
|
||||
gep_index: u64,
|
||||
name: &'ctx str,
|
||||
llvm_type: BasicTypeEnum<'ctx>,
|
||||
|
||||
// Only CanCheckLLVMType is needed, dont put in the whole `Model<'ctx>`
|
||||
llvm_type_model: Box<dyn CanCheckLLVMType<'ctx> + 'ctx>,
|
||||
}
|
||||
|
||||
pub struct FieldBuilder<'ctx> {
|
||||
pub ctx: &'ctx Context,
|
||||
gep_index_counter: u64,
|
||||
struct_name: &'ctx str,
|
||||
fields: Vec<FieldLLVM<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> FieldBuilder<'ctx> {
|
||||
#[must_use]
|
||||
pub fn new(ctx: &'ctx Context, struct_name: &'ctx str) -> Self {
|
||||
FieldBuilder { ctx, gep_index_counter: 0, struct_name, fields: Vec::new() }
|
||||
}
|
||||
|
||||
fn next_gep_index(&mut self) -> u64 {
|
||||
let index = self.gep_index_counter;
|
||||
self.gep_index_counter += 1;
|
||||
index
|
||||
}
|
||||
|
||||
pub fn add_field<E: Model<'ctx> + 'ctx>(&mut self, name: &'static str, element: E) -> Field<E> {
|
||||
let gep_index = self.next_gep_index();
|
||||
|
||||
self.fields.push(FieldLLVM {
|
||||
gep_index,
|
||||
name,
|
||||
llvm_type: element.get_llvm_type(self.ctx),
|
||||
llvm_type_model: Box::new(element),
|
||||
});
|
||||
|
||||
Field { gep_index, name, element }
|
||||
}
|
||||
|
||||
pub fn add_field_auto<E: Model<'ctx> + Default + 'ctx>(
|
||||
&mut self,
|
||||
name: &'static str,
|
||||
) -> Field<E> {
|
||||
self.add_field(name, E::default())
|
||||
}
|
||||
}
|
||||
|
||||
/// A marker trait to mark singleton struct that describes a particular LLVM structure.
|
||||
pub trait IsStruct<'ctx>: Clone + Copy {
|
||||
/// The type of the Rust `struct` that holds all the fields of this LLVM struct.
|
||||
type Fields;
|
||||
|
||||
/// A cosmetic name for this struct.
|
||||
/// TODO: Currently unused. To be used in error reporting.
|
||||
fn struct_name(&self) -> &'static str;
|
||||
|
||||
fn build_fields(&self, builder: &mut FieldBuilder<'ctx>) -> Self::Fields;
|
||||
|
||||
fn get_fields(&self, ctx: &'ctx Context) -> Self::Fields {
|
||||
let mut builder = FieldBuilder::new(ctx, self.struct_name());
|
||||
self.build_fields(&mut builder)
|
||||
}
|
||||
|
||||
/// Get the LLVM struct type this [`IsStruct<'ctx>`] is representing.
|
||||
fn get_struct_type(&self, ctx: &'ctx Context) -> StructType<'ctx> {
|
||||
let mut builder = FieldBuilder::new(ctx, self.struct_name());
|
||||
self.build_fields(&mut builder); // Self::Fields is discarded
|
||||
|
||||
let field_types = builder.fields.iter().map(|f| f.llvm_type).collect_vec();
|
||||
ctx.struct_type(&field_types, false)
|
||||
}
|
||||
|
||||
/// Check if `scrutinee` matches the [`StructType<'ctx>`] this [`IsStruct<'ctx>`] is representing.
|
||||
fn check_struct_type(
|
||||
&self,
|
||||
ctx: &'ctx Context,
|
||||
scrutinee: StructType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
// Details about scrutinee
|
||||
let scrutinee_field_types = scrutinee.get_field_types();
|
||||
|
||||
// Details about the defined specifications of this struct
|
||||
// We will access them through builder
|
||||
let mut builder = FieldBuilder::new(ctx, self.struct_name());
|
||||
self.build_fields(&mut builder);
|
||||
|
||||
// Check # of fields
|
||||
if builder.fields.len() != scrutinee_field_types.len() {
|
||||
return Err(format!(
|
||||
"Expecting struct to have {} field(s), but scrutinee has {} field(s)",
|
||||
builder.fields.len(),
|
||||
scrutinee_field_types.len()
|
||||
));
|
||||
}
|
||||
|
||||
// Check the types of each field
|
||||
// TODO: Traceback?
|
||||
for (f, scrutinee_field_type) in izip!(builder.fields, scrutinee_field_types) {
|
||||
f.llvm_type_model.check_llvm_type(ctx, scrutinee_field_type.as_any_type_enum())?;
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
/// A [`Model<'ctx>`] that represents an LLVM struct.
|
||||
///
|
||||
/// `self.0` contains a [`IsStruct<'ctx>`] that gives the details of the LLVM struct.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct StructModel<S>(pub S);
|
||||
|
||||
impl<'ctx, S: IsStruct<'ctx>> CanCheckLLVMType<'ctx> for StructModel<S> {
|
||||
fn check_llvm_type(
|
||||
&self,
|
||||
ctx: &'ctx Context,
|
||||
scrutinee: AnyTypeEnum<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
// Check if scrutinee is even a struct type
|
||||
let AnyTypeEnum::StructType(scrutinee) = scrutinee else {
|
||||
return Err(format!("Expecting a struct type, but got {scrutinee:?}"));
|
||||
};
|
||||
|
||||
// Ok. now check the struct type *thoroughly*
|
||||
self.0.check_struct_type(ctx, scrutinee)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, S: IsStruct<'ctx>> Model<'ctx> for StructModel<S> {
|
||||
type Value = Struct<'ctx, S>; // TODO: enrich it
|
||||
|
||||
fn get_llvm_type(&self, ctx: &'ctx Context) -> BasicTypeEnum<'ctx> {
|
||||
self.0.get_struct_type(ctx).as_basic_type_enum()
|
||||
}
|
||||
|
||||
fn review(&self, ctx: &'ctx Context, value: AnyValueEnum<'ctx>) -> Self::Value {
|
||||
// Check that `value` is not some bogus values or an incorrect StructValue
|
||||
self.check_llvm_type(ctx, value.get_type()).unwrap();
|
||||
|
||||
Struct { structure: self.0, value: value.into_struct_value() }
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Struct<'ctx, S> {
|
||||
pub structure: S,
|
||||
pub value: StructValue<'ctx>,
|
||||
}
|
||||
|
||||
impl<'ctx, S: IsStruct<'ctx>> ModelValue<'ctx> for Struct<'ctx, S> {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx> {
|
||||
self.value.as_basic_value_enum()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, S: IsStruct<'ctx>> Pointer<'ctx, StructModel<S>> {
|
||||
/// Build an instruction that does `getelementptr` on an LLVM structure referenced by this pointer.
|
||||
///
|
||||
/// This provides a nice syntax to chain up `getelementptr` in an intuitive and type-safe way:
|
||||
///
|
||||
/// ```ignore
|
||||
/// let ctx: &CodeGenContext<'ctx, '_>;
|
||||
/// let ndarray: Pointer<'ctx, StructModel<NpArray<'ctx>>>;
|
||||
/// ndarray.gep(ctx, |f| f.ndims).store();
|
||||
/// ```
|
||||
///
|
||||
/// You might even write chains `gep`, i.e.,
|
||||
/// ```ignore
|
||||
/// my_struct
|
||||
/// .gep(ctx, |f| f.thing1)
|
||||
/// .gep(ctx, |f| f.value)
|
||||
/// .store(ctx, my_value) // Equivalent to `my_struct.thing1.value = my_value`
|
||||
/// ```
|
||||
pub fn gep<E, GetFieldFn>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
get_field: GetFieldFn,
|
||||
) -> Pointer<'ctx, E>
|
||||
where
|
||||
E: Model<'ctx>,
|
||||
GetFieldFn: FnOnce(S::Fields) -> Field<E>,
|
||||
{
|
||||
let fields = self.element.0.get_fields(ctx.ctx);
|
||||
let field = get_field(fields);
|
||||
|
||||
let llvm_i32 = ctx.ctx.i32_type(); // TODO: I think I'm not supposed to *just* use i32 for GEP like that
|
||||
|
||||
let ptr = unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.value,
|
||||
&[llvm_i32.const_zero(), llvm_i32.const_int(field.gep_index, false)],
|
||||
field.name,
|
||||
)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
Pointer { element: field.element, value: ptr }
|
||||
}
|
||||
}
|
|
@ -0,0 +1,279 @@
|
|||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyType, AnyTypeEnum, BasicType, BasicTypeEnum, IntType},
|
||||
values::{AnyValueEnum, BasicValue, BasicValueEnum, IntValue},
|
||||
};
|
||||
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
use super::core::*;
|
||||
|
||||
/// Helper function to check if `scrutinee` is the same as `expected_int_type`
|
||||
fn check_int_llvm_type<'ctx>(
|
||||
scrutinee: AnyTypeEnum<'ctx>,
|
||||
expected_int_type: IntType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
// Check if llvm_type is int type
|
||||
let AnyTypeEnum::IntType(scrutinee) = scrutinee else {
|
||||
return Err(format!("Expecting an int type but got {scrutinee:?}"));
|
||||
};
|
||||
|
||||
// Check bit width
|
||||
if scrutinee.get_bit_width() != expected_int_type.get_bit_width() {
|
||||
return Err(format!(
|
||||
"Expecting an int type of {}-bit(s) but got int type {}-bit(s)",
|
||||
expected_int_type.get_bit_width(),
|
||||
scrutinee.get_bit_width()
|
||||
));
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Helper function to cast `scrutinee` is into an [`IntValue<'ctx>`].
|
||||
/// The LLVM type of `scrutinee` will be checked with [`check_int_llvm_type`].
|
||||
fn review_int_llvm_value<'ctx>(
|
||||
value: AnyValueEnum<'ctx>,
|
||||
expected_int_type: IntType<'ctx>,
|
||||
) -> Result<IntValue<'ctx>, String> {
|
||||
// Check if value is of int type, error if that is anything else
|
||||
check_int_llvm_type(value.get_type().as_any_type_enum(), expected_int_type)?;
|
||||
|
||||
// Ok, it is must be an int
|
||||
Ok(value.into_int_value())
|
||||
}
|
||||
|
||||
/// A model representing an [`IntType<'ctx>`].
|
||||
///
|
||||
/// Also see [`FixedIntModel`], which is more constrained than [`IntModel`]
|
||||
/// but provides more type-safe mechanisms and even auto-derivation of [`BasicTypeEnum<'ctx>`]
|
||||
/// for creating LLVM structures.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct IntModel<'ctx>(pub IntType<'ctx>);
|
||||
|
||||
/// An inhabitant of an [`IntModel<'ctx>`]
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Int<'ctx>(pub IntValue<'ctx>);
|
||||
|
||||
impl<'ctx> CanCheckLLVMType<'ctx> for IntModel<'ctx> {
|
||||
fn check_llvm_type(
|
||||
&self,
|
||||
_ctx: &'ctx Context,
|
||||
scrutinee: AnyTypeEnum<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
check_int_llvm_type(scrutinee, self.0)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> Model<'ctx> for IntModel<'ctx> {
|
||||
type Value = Int<'ctx>;
|
||||
|
||||
fn get_llvm_type(&self, _ctx: &'ctx Context) -> BasicTypeEnum<'ctx> {
|
||||
self.0.as_basic_type_enum()
|
||||
}
|
||||
|
||||
fn review(&self, ctx: &'ctx Context, value: AnyValueEnum<'ctx>) -> Self::Value {
|
||||
let int = value.into_int_value();
|
||||
self.check_llvm_type(ctx, int.get_type().as_any_type_enum()).unwrap();
|
||||
Int(int)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ModelValue<'ctx> for Int<'ctx> {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx> {
|
||||
self.0.as_basic_value_enum()
|
||||
}
|
||||
}
|
||||
|
||||
// Extra utilities for [`Int<'ctx>`]
|
||||
impl<'ctx> Int<'ctx> {
|
||||
#[must_use]
|
||||
pub fn signed_cast_to_int(
|
||||
self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
target_int: IntModel<'ctx>,
|
||||
name: &str,
|
||||
) -> Int<'ctx> {
|
||||
Int(ctx.builder.build_int_s_extend_or_bit_cast(self.0, target_int.0, name).unwrap())
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn signed_cast_to_fixed<T: IsFixedInt>(
|
||||
self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
target_fixed: T,
|
||||
name: &str,
|
||||
) -> FixedInt<'ctx, T> {
|
||||
FixedInt {
|
||||
int: target_fixed,
|
||||
value: ctx
|
||||
.builder
|
||||
.build_int_s_extend_or_bit_cast(self.0, T::get_int_type(ctx.ctx), name)
|
||||
.unwrap(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Extra utilities for [`IntModel<'ctx>`]
|
||||
impl<'ctx> IntModel<'ctx> {
|
||||
/// Create a constant value that inhabits this [`IntModel<'ctx>`].
|
||||
#[must_use]
|
||||
pub fn constant(&self, value: u64) -> Int<'ctx> {
|
||||
Int(self.0.const_int(value, false))
|
||||
}
|
||||
|
||||
/// Check if `other` is fully compatible with this [`IntModel<'ctx>`].
|
||||
///
|
||||
/// This simply checks if the underlying [`IntType<'ctx>`] has
|
||||
/// the same number of bits.
|
||||
#[must_use]
|
||||
pub fn same_as(&self, other: IntModel<'ctx>) -> bool {
|
||||
// TODO: or `self.0 == other.0` would also work?
|
||||
self.0.get_bit_width() == other.0.get_bit_width()
|
||||
}
|
||||
}
|
||||
|
||||
/// A model representing a compile-time known [`IntType<'ctx>`].
|
||||
///
|
||||
/// Also see [`IntModel`], which is less constrained than [`FixedIntModel`],
|
||||
/// but enables one to handle [`IntType<'ctx>`] that could be dynamic
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct FixedIntModel<T>(pub T);
|
||||
|
||||
impl<T: IsFixedInt> FixedIntModel<T> {
|
||||
pub fn to_int_model(self, ctx: &Context) -> IntModel<'_> {
|
||||
IntModel(T::get_int_type(ctx))
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, T: IsFixedInt> CanCheckLLVMType<'ctx> for FixedIntModel<T> {
|
||||
fn check_llvm_type(
|
||||
&self,
|
||||
ctx: &'ctx Context,
|
||||
scrutinee: AnyTypeEnum<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
check_int_llvm_type(scrutinee, T::get_int_type(ctx))
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, T: IsFixedInt> Model<'ctx> for FixedIntModel<T> {
|
||||
type Value = FixedInt<'ctx, T>;
|
||||
|
||||
fn get_llvm_type(&self, ctx: &'ctx Context) -> BasicTypeEnum<'ctx> {
|
||||
T::get_int_type(ctx).as_basic_type_enum()
|
||||
}
|
||||
|
||||
fn review(&self, ctx: &'ctx Context, value: AnyValueEnum<'ctx>) -> Self::Value {
|
||||
let value = review_int_llvm_value(value, T::get_int_type(ctx)).unwrap();
|
||||
FixedInt { int: self.0, value }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, T: IsFixedInt> FixedIntModel<T> {
|
||||
pub fn constant(&self, ctx: &'ctx Context, value: u64) -> FixedInt<'ctx, T> {
|
||||
FixedInt { int: self.0, value: T::get_int_type(ctx).const_int(value, false) }
|
||||
}
|
||||
}
|
||||
|
||||
/// An inhabitant of [`FixedIntModel<'ctx>`]
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct FixedInt<'ctx, T: IsFixedInt> {
|
||||
pub int: T,
|
||||
pub value: IntValue<'ctx>,
|
||||
}
|
||||
|
||||
/// A marker trait to mark singleton struct that describes a particular fixed integer type.
|
||||
/// See [`Bool`], [`Byte`], [`Int32`], etc.
|
||||
///
|
||||
/// The [`Default`] trait is to enable auto-derivations for utilities like
|
||||
/// [`FieldBuilder::add_field_auto`]
|
||||
pub trait IsFixedInt: Clone + Copy + Default {
|
||||
fn get_int_type(ctx: &Context) -> IntType<'_>;
|
||||
fn get_bit_width() -> u32; // This is required, instead of only relying on get_int_type
|
||||
}
|
||||
|
||||
impl<'ctx, T: IsFixedInt> ModelValue<'ctx> for FixedInt<'ctx, T> {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx> {
|
||||
self.value.as_basic_value_enum()
|
||||
}
|
||||
}
|
||||
|
||||
// Extra utilities for [`FixedInt<'ctx, T>`]
|
||||
impl<'ctx, T: IsFixedInt> FixedInt<'ctx, T> {
|
||||
pub fn to_int(self) -> Int<'ctx> {
|
||||
Int(self.value)
|
||||
}
|
||||
|
||||
pub fn signed_cast_to_fixed<R: IsFixedInt>(
|
||||
self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
target_fixed_int: R,
|
||||
name: &str,
|
||||
) -> FixedInt<'ctx, R> {
|
||||
FixedInt {
|
||||
int: target_fixed_int,
|
||||
value: ctx
|
||||
.builder
|
||||
.build_int_s_extend_or_bit_cast(self.value, R::get_int_type(ctx.ctx), name)
|
||||
.unwrap(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Some pre-defined fixed integers
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Bool;
|
||||
pub type BoolModel = FixedIntModel<Bool>;
|
||||
|
||||
impl IsFixedInt for Bool {
|
||||
fn get_int_type(ctx: &Context) -> IntType<'_> {
|
||||
ctx.bool_type()
|
||||
}
|
||||
|
||||
fn get_bit_width() -> u32 {
|
||||
1
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Byte;
|
||||
pub type ByteModel = FixedIntModel<Byte>;
|
||||
|
||||
impl IsFixedInt for Byte {
|
||||
fn get_int_type(ctx: &Context) -> IntType<'_> {
|
||||
ctx.i8_type()
|
||||
}
|
||||
|
||||
fn get_bit_width() -> u32 {
|
||||
8
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Int32;
|
||||
pub type Int32Model = FixedIntModel<Int32>;
|
||||
|
||||
impl IsFixedInt for Int32 {
|
||||
fn get_int_type(ctx: &Context) -> IntType<'_> {
|
||||
ctx.i32_type()
|
||||
}
|
||||
|
||||
fn get_bit_width() -> u32 {
|
||||
32
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct Int64;
|
||||
pub type Int64Model = FixedIntModel<Int64>;
|
||||
|
||||
impl IsFixedInt for Int64 {
|
||||
fn get_int_type(ctx: &Context) -> IntType<'_> {
|
||||
ctx.i64_type()
|
||||
}
|
||||
|
||||
fn get_bit_width() -> u32 {
|
||||
64
|
||||
}
|
||||
}
|
|
@ -0,0 +1,11 @@
|
|||
pub mod core;
|
||||
pub mod gep;
|
||||
pub mod int;
|
||||
pub mod pointer;
|
||||
pub mod slice;
|
||||
|
||||
pub use core::*;
|
||||
pub use gep::*;
|
||||
pub use int::*;
|
||||
pub use pointer::*;
|
||||
pub use slice::*;
|
|
@ -0,0 +1,184 @@
|
|||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum},
|
||||
values::{AnyValue, AnyValueEnum, BasicValue, BasicValueEnum, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
use super::core::*;
|
||||
|
||||
/// An inhabitant of [`PointerModel<E>`]
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Pointer<'ctx, E: Model<'ctx>> {
|
||||
pub element: E,
|
||||
pub value: PointerValue<'ctx>,
|
||||
}
|
||||
|
||||
/// A [`Model<'ctx>`] representing an LLVM [`PointerType<'ctx>`]
|
||||
/// with *full* information on the element u
|
||||
///
|
||||
/// [`self.0`] contains [`Model<'ctx>`] that represents the
|
||||
/// LLVM type of element of the [`PointerType<'ctx>`] is pointing at
|
||||
/// (like `PointerType<'ctx>::get_element_type()`, but abstracted as a [`Model<'ctx>`]).
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct PointerModel<E>(pub E);
|
||||
|
||||
impl<'ctx, E: Model<'ctx>> ModelValue<'ctx> for Pointer<'ctx, E> {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx> {
|
||||
self.value.as_basic_value_enum()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, E: Model<'ctx>> Pointer<'ctx, E> {
|
||||
/// Build an instruction to store a value into this pointer
|
||||
pub fn store(&self, ctx: &CodeGenContext<'ctx, '_>, val: E::Value) {
|
||||
ctx.builder.build_store(self.value, val.get_llvm_value()).unwrap();
|
||||
}
|
||||
|
||||
/// Build an instruction to load a value from this pointer
|
||||
pub fn load(&self, ctx: &CodeGenContext<'ctx, '_>, name: &str) -> E::Value {
|
||||
let val = ctx.builder.build_load(self.value, name).unwrap();
|
||||
self.element.review(ctx.ctx, val.as_any_value_enum())
|
||||
}
|
||||
|
||||
pub fn to_opaque(self) -> OpaquePointer<'ctx> {
|
||||
OpaquePointer(self.value)
|
||||
}
|
||||
|
||||
pub fn cast_opaque_to(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
element_type: BasicTypeEnum<'ctx>,
|
||||
name: &str,
|
||||
) -> OpaquePointer<'ctx> {
|
||||
self.to_opaque().cast_opaque_to(ctx, element_type, name)
|
||||
}
|
||||
|
||||
pub fn cast_to<R: Model<'ctx>>(
|
||||
self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
element_model: R,
|
||||
name: &str,
|
||||
) -> Pointer<'ctx, R> {
|
||||
let casted_ptr =
|
||||
self.to_opaque().cast_opaque_to(ctx, element_model.get_llvm_type(ctx.ctx), name).0;
|
||||
Pointer { element: element_model, value: casted_ptr }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, E: Model<'ctx>> CanCheckLLVMType<'ctx> for PointerModel<E> {
|
||||
fn check_llvm_type(
|
||||
&self,
|
||||
ctx: &'ctx Context,
|
||||
scrutinee: AnyTypeEnum<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
// Check if scrutinee is even a PointerValue
|
||||
let AnyTypeEnum::PointerType(scrutinee) = scrutinee else {
|
||||
return Err(format!("Expecting a pointer value, but got {scrutinee:?}"));
|
||||
};
|
||||
|
||||
// Check the type of what the pointer is pointing at
|
||||
// TODO: This will be deprecated by inkwell > llvm14 because `get_element_type()` will be gone
|
||||
self.0.check_llvm_type(ctx, scrutinee.get_element_type())?; // TODO: Include backtrace?
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, E: Model<'ctx>> Model<'ctx> for PointerModel<E> {
|
||||
type Value = Pointer<'ctx, E>;
|
||||
|
||||
fn get_llvm_type(&self, ctx: &'ctx Context) -> BasicTypeEnum<'ctx> {
|
||||
self.0.get_llvm_type(ctx).ptr_type(AddressSpace::default()).as_basic_type_enum()
|
||||
}
|
||||
|
||||
fn review(&self, ctx: &'ctx Context, value: AnyValueEnum<'ctx>) -> Self::Value {
|
||||
self.check_llvm_type(ctx, value.get_type()).unwrap();
|
||||
|
||||
// TODO: Check get_element_type()? for LLVM 14 at least...
|
||||
Pointer { element: self.0, value: value.into_pointer_value() }
|
||||
}
|
||||
}
|
||||
|
||||
// A pointer of which the element's model is unknown.
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct OpaquePointer<'ctx>(pub PointerValue<'ctx>);
|
||||
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
pub struct OpaquePointerModel;
|
||||
|
||||
impl<'ctx> ModelValue<'ctx> for OpaquePointer<'ctx> {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx> {
|
||||
self.0.as_basic_value_enum()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> CanCheckLLVMType<'ctx> for OpaquePointerModel {
|
||||
fn check_llvm_type(
|
||||
&self,
|
||||
_ctx: &'ctx Context,
|
||||
scrutinee: AnyTypeEnum<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
// OpaquePointerModel only cares that it is a pointer,
|
||||
// but not what the pointer is pointing at
|
||||
match scrutinee {
|
||||
AnyTypeEnum::PointerType(_) => Ok(()),
|
||||
_ => Err(format!("Expecting a pointer type, but got {scrutinee:?}")),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> Model<'ctx> for OpaquePointerModel {
|
||||
type Value = OpaquePointer<'ctx>;
|
||||
|
||||
fn get_llvm_type(&self, ctx: &'ctx Context) -> BasicTypeEnum<'ctx> {
|
||||
ctx.i8_type().ptr_type(AddressSpace::default()).as_basic_type_enum()
|
||||
}
|
||||
|
||||
fn review(&self, ctx: &'ctx Context, value: AnyValueEnum<'ctx>) -> Self::Value {
|
||||
// Check if value is even of a pointer type
|
||||
self.check_llvm_type(ctx, value.get_type()).unwrap();
|
||||
|
||||
OpaquePointer(value.into_pointer_value())
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> OpaquePointer<'ctx> {
|
||||
pub fn load_opaque(&self, ctx: &CodeGenContext<'ctx, '_>, name: &str) -> BasicValueEnum<'ctx> {
|
||||
ctx.builder.build_load(self.0, name).unwrap()
|
||||
}
|
||||
|
||||
pub fn store_opaque(&self, ctx: &CodeGenContext<'ctx, '_>, value: BasicValueEnum<'ctx>) {
|
||||
ctx.builder.build_store(self.0, value).unwrap();
|
||||
}
|
||||
|
||||
#[must_use]
|
||||
pub fn cast_opaque_to(
|
||||
self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
element_llvm_type: BasicTypeEnum<'ctx>,
|
||||
name: &str,
|
||||
) -> OpaquePointer<'ctx> {
|
||||
OpaquePointer(
|
||||
ctx.builder
|
||||
.build_pointer_cast(
|
||||
self.0,
|
||||
element_llvm_type.ptr_type(AddressSpace::default()),
|
||||
name,
|
||||
)
|
||||
.unwrap(),
|
||||
)
|
||||
}
|
||||
|
||||
pub fn cast_to<E: Model<'ctx>>(
|
||||
self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
element_model: E,
|
||||
name: &str,
|
||||
) -> Pointer<'ctx, E> {
|
||||
let ptr = self.cast_opaque_to(ctx, element_model.get_llvm_type(ctx.ctx), name).0;
|
||||
Pointer { element: element_model, value: ptr }
|
||||
}
|
||||
}
|
|
@ -0,0 +1,73 @@
|
|||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
use super::{Int, Model, Pointer};
|
||||
|
||||
pub struct ArraySlice<'ctx, E: Model<'ctx>> {
|
||||
pub num_elements: Int<'ctx>,
|
||||
pub pointer: Pointer<'ctx, E>,
|
||||
}
|
||||
|
||||
impl<'ctx, E: Model<'ctx>> ArraySlice<'ctx, E> {
|
||||
pub fn ix_unchecked(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
idx: Int<'ctx>,
|
||||
name: &str,
|
||||
) -> Pointer<'ctx, E> {
|
||||
let element_addr =
|
||||
unsafe { ctx.builder.build_in_bounds_gep(self.pointer.value, &[idx.0], name).unwrap() };
|
||||
Pointer { value: element_addr, element: self.pointer.element }
|
||||
}
|
||||
|
||||
pub fn ix<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
idx: Int<'ctx>,
|
||||
name: &str,
|
||||
) -> Pointer<'ctx, E> {
|
||||
let int_type = self.num_elements.0.get_type(); // NOTE: Weird get_type(), see comment under `trait Ixed`
|
||||
|
||||
assert_eq!(int_type.get_bit_width(), idx.0.get_type().get_bit_width()); // Might as well check bit width to catch bugs
|
||||
|
||||
// TODO: SGE or UGE? or make it defined by the implementee?
|
||||
|
||||
// Check `0 <= index`
|
||||
let lower_bounded = ctx
|
||||
.builder
|
||||
.build_int_compare(
|
||||
inkwell::IntPredicate::SLE,
|
||||
int_type.const_zero(),
|
||||
idx.0,
|
||||
"lower_bounded",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
// Check `index < num_elements`
|
||||
let upper_bounded = ctx
|
||||
.builder
|
||||
.build_int_compare(
|
||||
inkwell::IntPredicate::SLT,
|
||||
idx.0,
|
||||
self.num_elements.0,
|
||||
"upper_bounded",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
// Compute `0 <= index && index < num_elements`
|
||||
let bounded = ctx.builder.build_and(lower_bounded, upper_bounded, "bounded").unwrap();
|
||||
|
||||
// Assert `bounded`
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
bounded,
|
||||
"0:IndexError",
|
||||
"nac3core LLVM codegen attempting to access out of bounds array index {0}. Must satisfy 0 <= index < {2}",
|
||||
[ Some(idx.0), Some(self.num_elements.0), None],
|
||||
ctx.current_loc
|
||||
);
|
||||
|
||||
// ...and finally do indexing
|
||||
self.ix_unchecked(ctx, idx, name)
|
||||
}
|
||||
}
|
File diff suppressed because it is too large
Load Diff
|
@ -0,0 +1,195 @@
|
|||
use inkwell::values::{BasicValue, BasicValueEnum, PointerValue};
|
||||
use nac3parser::ast::StrRef;
|
||||
|
||||
use crate::{
|
||||
symbol_resolver::ValueEnum,
|
||||
toplevel::DefinitionId,
|
||||
typecheck::typedef::{FunSignature, Type},
|
||||
};
|
||||
|
||||
use super::{
|
||||
irrt::numpy::{
|
||||
ndarray::{
|
||||
alloca_ndarray_and_init, call_nac3_ndarray_fill_generic, NDArrayInitMode, NpArray,
|
||||
},
|
||||
shape::parse_input_shape_arg,
|
||||
},
|
||||
model::*,
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// LLVM-typed implementation for generating the implementation for constructing an empty `NDArray`.
|
||||
fn call_ndarray_empty_impl<'ctx, G>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_ty: Type,
|
||||
shape: BasicValueEnum<'ctx>,
|
||||
shape_ty: Type,
|
||||
name: &str,
|
||||
) -> Result<Pointer<'ctx, StructModel<NpArray<'ctx>>>, String>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
{
|
||||
let elem_type = ctx.get_llvm_type(generator, elem_ty);
|
||||
let shape = parse_input_shape_arg(generator, ctx, shape, shape_ty);
|
||||
let ndarray_ptr = alloca_ndarray_and_init(
|
||||
generator,
|
||||
ctx,
|
||||
elem_type,
|
||||
NDArrayInitMode::ShapeAndAllocaData { shape },
|
||||
name,
|
||||
)?;
|
||||
Ok(ndarray_ptr)
|
||||
}
|
||||
|
||||
fn call_ndarray_full_impl<'ctx, G>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
elem_ty: Type,
|
||||
shape: BasicValueEnum<'ctx>,
|
||||
shape_ty: Type,
|
||||
fill_value: BasicValueEnum<'ctx>,
|
||||
name: &str,
|
||||
) -> Result<Pointer<'ctx, StructModel<NpArray<'ctx>>>, String>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
{
|
||||
let ndarray_ptr = call_ndarray_empty_impl(generator, ctx, elem_ty, shape, shape_ty, name)?;
|
||||
|
||||
// NOTE: fill_value's type is not checked!! so be careful with logics
|
||||
|
||||
// Allocate fill_value on the stack and give the corresponding stack pointer
|
||||
// to call_nac3_ndarray_fill_generic
|
||||
let fill_value_ptr = ctx.builder.build_alloca(fill_value.get_type(), "fill_value_ptr").unwrap();
|
||||
let fill_value_ptr = OpaquePointer(fill_value_ptr);
|
||||
fill_value_ptr.store_opaque(ctx, fill_value);
|
||||
|
||||
let fill_value_ptr = fill_value_ptr.cast_to(ctx, FixedIntModel(Byte), "");
|
||||
call_nac3_ndarray_fill_generic(ctx, ndarray_ptr, fill_value_ptr);
|
||||
|
||||
Ok(ndarray_ptr)
|
||||
}
|
||||
|
||||
/// Generates LLVM IR for `np.empty`.
|
||||
pub fn gen_ndarray_empty<'ctx>(
|
||||
context: &mut CodeGenContext<'ctx, '_>,
|
||||
obj: &Option<(Type, ValueEnum<'ctx>)>,
|
||||
fun: (&FunSignature, DefinitionId),
|
||||
args: &[(Option<StrRef>, ValueEnum<'ctx>)],
|
||||
generator: &mut dyn CodeGenerator,
|
||||
) -> Result<PointerValue<'ctx>, String> {
|
||||
assert!(obj.is_none());
|
||||
assert_eq!(args.len(), 1);
|
||||
|
||||
// Parse arguments
|
||||
let shape_ty = fun.0.args[0].ty;
|
||||
let shape = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
|
||||
|
||||
// Implementation
|
||||
let ndarray_ptr = call_ndarray_empty_impl(
|
||||
generator,
|
||||
context,
|
||||
context.primitives.float,
|
||||
shape,
|
||||
shape_ty,
|
||||
"ndarray",
|
||||
)?;
|
||||
Ok(ndarray_ptr.value)
|
||||
}
|
||||
|
||||
/// Generates LLVM IR for `np.zeros`.
|
||||
pub fn gen_ndarray_zeros<'ctx>(
|
||||
context: &mut CodeGenContext<'ctx, '_>,
|
||||
obj: &Option<(Type, ValueEnum<'ctx>)>,
|
||||
fun: (&FunSignature, DefinitionId),
|
||||
args: &[(Option<StrRef>, ValueEnum<'ctx>)],
|
||||
generator: &mut dyn CodeGenerator,
|
||||
) -> Result<PointerValue<'ctx>, String> {
|
||||
assert!(obj.is_none());
|
||||
assert_eq!(args.len(), 1);
|
||||
|
||||
// Parse arguments
|
||||
let shape_ty = fun.0.args[0].ty;
|
||||
let shape = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
|
||||
|
||||
// Implementation
|
||||
// NOTE: Currently nac3's `np.zeros` is always `float64`.
|
||||
let float64_ty = context.primitives.float;
|
||||
let float64_llvm_type = context.get_llvm_type(generator, float64_ty).into_float_type();
|
||||
|
||||
let ndarray_ptr = call_ndarray_full_impl(
|
||||
generator,
|
||||
context,
|
||||
float64_ty, // `elem_ty` is always `float64`
|
||||
shape,
|
||||
shape_ty,
|
||||
float64_llvm_type.const_zero().as_basic_value_enum(),
|
||||
"ndarray",
|
||||
)?;
|
||||
Ok(ndarray_ptr.value)
|
||||
}
|
||||
|
||||
/// Generates LLVM IR for `np.ones`.
|
||||
pub fn gen_ndarray_ones<'ctx>(
|
||||
context: &mut CodeGenContext<'ctx, '_>,
|
||||
obj: &Option<(Type, ValueEnum<'ctx>)>,
|
||||
fun: (&FunSignature, DefinitionId),
|
||||
args: &[(Option<StrRef>, ValueEnum<'ctx>)],
|
||||
generator: &mut dyn CodeGenerator,
|
||||
) -> Result<PointerValue<'ctx>, String> {
|
||||
assert!(obj.is_none());
|
||||
assert_eq!(args.len(), 1);
|
||||
|
||||
// Parse arguments
|
||||
let shape_ty = fun.0.args[0].ty;
|
||||
let shape = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
|
||||
|
||||
// Implementation
|
||||
// NOTE: Currently nac3's `np.ones` is always `float64`.
|
||||
let float64_ty = context.primitives.float;
|
||||
let float64_llvm_type = context.get_llvm_type(generator, float64_ty).into_float_type();
|
||||
|
||||
let ndarray_ptr = call_ndarray_full_impl(
|
||||
generator,
|
||||
context,
|
||||
float64_ty, // `elem_ty` is always `float64`
|
||||
shape,
|
||||
shape_ty,
|
||||
float64_llvm_type.const_float(1.0).as_basic_value_enum(),
|
||||
"ndarray",
|
||||
)?;
|
||||
Ok(ndarray_ptr.value)
|
||||
}
|
||||
|
||||
/// Generates LLVM IR for `ndarray.full`.
|
||||
pub fn gen_ndarray_full<'ctx>(
|
||||
context: &mut CodeGenContext<'ctx, '_>,
|
||||
obj: &Option<(Type, ValueEnum<'ctx>)>,
|
||||
fun: (&FunSignature, DefinitionId),
|
||||
args: &[(Option<StrRef>, ValueEnum<'ctx>)],
|
||||
generator: &mut dyn CodeGenerator,
|
||||
) -> Result<PointerValue<'ctx>, String> {
|
||||
assert!(obj.is_none());
|
||||
assert_eq!(args.len(), 2);
|
||||
|
||||
// Parse argument #1 shape
|
||||
let shape_ty = fun.0.args[0].ty;
|
||||
let shape_arg = args[0].1.clone().to_basic_value_enum(context, generator, shape_ty)?;
|
||||
|
||||
// Parse argument #2 fill_value
|
||||
let fill_value_ty = fun.0.args[1].ty;
|
||||
let fill_value_arg =
|
||||
args[1].1.clone().to_basic_value_enum(context, generator, fill_value_ty)?;
|
||||
|
||||
// Implementation
|
||||
let ndarray_ptr = call_ndarray_full_impl(
|
||||
generator,
|
||||
context,
|
||||
fill_value_ty,
|
||||
shape_arg,
|
||||
shape_ty,
|
||||
fill_value_arg,
|
||||
"ndarray",
|
||||
)?;
|
||||
Ok(ndarray_ptr.value)
|
||||
}
|
File diff suppressed because it is too large
Load Diff
|
@ -1,37 +1,34 @@
|
|||
use std::{
|
||||
collections::{HashMap, HashSet},
|
||||
sync::Arc,
|
||||
};
|
||||
|
||||
use indexmap::IndexMap;
|
||||
use indoc::indoc;
|
||||
use inkwell::{
|
||||
targets::{InitializationConfig, Target},
|
||||
OptimizationLevel,
|
||||
};
|
||||
use nac3parser::{
|
||||
ast::{fold::Fold, FileName, StrRef},
|
||||
parser::parse_program,
|
||||
};
|
||||
use parking_lot::RwLock;
|
||||
|
||||
use super::{
|
||||
concrete_type::ConcreteTypeStore,
|
||||
types::{ListType, NDArrayType, 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},
|
||||
DefinitionId, FunInstance, TopLevelContext, TopLevelDef,
|
||||
},
|
||||
typecheck::{
|
||||
type_inferencer::{FunctionData, IdentifierInfo, Inferencer, PrimitiveStore},
|
||||
type_inferencer::{FunctionData, Inferencer, PrimitiveStore},
|
||||
typedef::{FunSignature, FuncArg, Type, TypeEnum, Unifier, VarMap},
|
||||
},
|
||||
};
|
||||
use indexmap::IndexMap;
|
||||
use indoc::indoc;
|
||||
use inkwell::{
|
||||
targets::{InitializationConfig, Target},
|
||||
OptimizationLevel,
|
||||
};
|
||||
use nac3parser::ast::FileName;
|
||||
use nac3parser::{
|
||||
ast::{fold::Fold, StrRef},
|
||||
parser::parse_program,
|
||||
};
|
||||
use parking_lot::RwLock;
|
||||
use std::collections::{HashMap, HashSet};
|
||||
use std::sync::Arc;
|
||||
|
||||
struct Resolver {
|
||||
id_to_type: HashMap<StrRef, Type>,
|
||||
|
@ -67,7 +64,6 @@ impl SymbolResolver for Resolver {
|
|||
&self,
|
||||
_: StrRef,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
_: &mut dyn CodeGenerator,
|
||||
) -> Option<ValueEnum<'ctx>> {
|
||||
unimplemented!()
|
||||
}
|
||||
|
@ -98,7 +94,7 @@ fn test_primitives() {
|
|||
"};
|
||||
let statements = parse_program(source, FileName::default()).unwrap();
|
||||
|
||||
let composer = TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 32).0;
|
||||
let composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 32).0;
|
||||
let mut unifier = composer.unifier.clone();
|
||||
let primitives = composer.primitives_ty;
|
||||
let top_level = Arc::new(composer.make_top_level_context());
|
||||
|
@ -113,18 +109,8 @@ fn test_primitives() {
|
|||
let threads = vec![DefaultCodeGenerator::new("test".into(), 32).into()];
|
||||
let signature = FunSignature {
|
||||
args: vec![
|
||||
FuncArg {
|
||||
name: "a".into(),
|
||||
ty: primitives.int32,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg {
|
||||
name: "b".into(),
|
||||
ty: primitives.int32,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
},
|
||||
FuncArg { name: "a".into(), ty: primitives.int32, default_value: None },
|
||||
FuncArg { name: "b".into(), ty: primitives.int32, default_value: None },
|
||||
],
|
||||
ret: primitives.int32,
|
||||
vars: VarMap::new(),
|
||||
|
@ -142,8 +128,7 @@ fn test_primitives() {
|
|||
};
|
||||
let mut virtual_checks = Vec::new();
|
||||
let mut calls = HashMap::new();
|
||||
let mut identifiers: HashMap<_, _> =
|
||||
["a".into(), "b".into()].map(|id| (id, IdentifierInfo::default())).into();
|
||||
let mut identifiers: HashSet<_> = ["a".into(), "b".into()].into();
|
||||
let mut inferencer = Inferencer {
|
||||
top_level: &top_level,
|
||||
function_data: &mut function_data,
|
||||
|
@ -204,8 +189,6 @@ fn test_primitives() {
|
|||
let expected = indoc! {"
|
||||
; ModuleID = 'test'
|
||||
source_filename = \"test\"
|
||||
target datalayout = \"e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128\"
|
||||
target triple = \"x86_64-unknown-linux-gnu\"
|
||||
|
||||
; Function Attrs: mustprogress nofree norecurse nosync nounwind readnone willreturn
|
||||
define i32 @testing(i32 %0, i32 %1) local_unnamed_addr #0 !dbg !4 {
|
||||
|
@ -263,19 +246,14 @@ fn test_simple_call() {
|
|||
"};
|
||||
let statements_2 = parse_program(source_2, FileName::default()).unwrap();
|
||||
|
||||
let composer = TopLevelComposer::new(Vec::new(), Vec::new(), ComposerConfig::default(), 32).0;
|
||||
let composer = TopLevelComposer::new(Vec::new(), ComposerConfig::default(), 32).0;
|
||||
let mut unifier = composer.unifier.clone();
|
||||
let primitives = composer.primitives_ty;
|
||||
let top_level = Arc::new(composer.make_top_level_context());
|
||||
unifier.top_level = Some(top_level.clone());
|
||||
|
||||
let signature = FunSignature {
|
||||
args: vec![FuncArg {
|
||||
name: "a".into(),
|
||||
ty: primitives.int32,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
args: vec![FuncArg { name: "a".into(), ty: primitives.int32, default_value: None }],
|
||||
ret: primitives.int32,
|
||||
vars: VarMap::new(),
|
||||
};
|
||||
|
@ -322,8 +300,7 @@ fn test_simple_call() {
|
|||
};
|
||||
let mut virtual_checks = Vec::new();
|
||||
let mut calls = HashMap::new();
|
||||
let mut identifiers: HashMap<_, _> =
|
||||
["a".into(), "foo".into()].map(|id| (id, IdentifierInfo::default())).into();
|
||||
let mut identifiers: HashSet<_> = ["a".into(), "foo".into()].into();
|
||||
let mut inferencer = Inferencer {
|
||||
top_level: &top_level,
|
||||
function_data: &mut function_data,
|
||||
|
@ -391,8 +368,6 @@ fn test_simple_call() {
|
|||
let expected = indoc! {"
|
||||
; ModuleID = 'test'
|
||||
source_filename = \"test\"
|
||||
target datalayout = \"e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-f80:128-n8:16:32:64-S128\"
|
||||
target triple = \"x86_64-unknown-linux-gnu\"
|
||||
|
||||
; Function Attrs: mustprogress nofree norecurse nosync nounwind readnone willreturn
|
||||
define i32 @testing(i32 %0) local_unnamed_addr #0 !dbg !5 {
|
||||
|
@ -452,7 +427,7 @@ 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 +435,7 @@ 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]
|
||||
|
@ -472,5 +447,5 @@ fn test_classes_ndarray_type_new() {
|
|||
let llvm_usize = generator.get_size_type(&ctx);
|
||||
|
||||
let llvm_ndarray = NDArrayType::new(&generator, &ctx, llvm_i32.into());
|
||||
assert!(NDArrayType::is_representable(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
|
||||
assert!(NDArrayType::is_type(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
|
||||
}
|
||||
|
|
|
@ -1,192 +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()
|
||||
}
|
||||
}
|
||||
|
||||
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 new_value<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Value {
|
||||
self.map_value(
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap(),
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
fn new_array_value<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 map_value(
|
||||
&self,
|
||||
value: <Self::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Value {
|
||||
Self::Value::from_pointer_value(value, self.llvm_usize, name)
|
||||
}
|
||||
|
||||
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()
|
||||
}
|
||||
}
|
|
@ -1,64 +0,0 @@
|
|||
use inkwell::{context::Context, types::BasicType, values::IntValue};
|
||||
|
||||
use super::{
|
||||
values::{ArraySliceValue, ProxyValue},
|
||||
{CodeGenContext, CodeGenerator},
|
||||
};
|
||||
pub use list::*;
|
||||
pub use ndarray::*;
|
||||
pub use range::*;
|
||||
|
||||
mod list;
|
||||
mod ndarray;
|
||||
mod range;
|
||||
pub mod structure;
|
||||
|
||||
/// 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.
|
||||
fn new_value<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Value;
|
||||
|
||||
/// Creates a new array value of this type.
|
||||
fn new_array_value<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> ArraySliceValue<'ctx>;
|
||||
|
||||
/// Converts an existing value into a [`ProxyValue`] of this type.
|
||||
fn map_value(
|
||||
&self,
|
||||
value: <Self::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Value;
|
||||
|
||||
/// Returns the [base type][Self::Base] of this proxy.
|
||||
fn as_base_type(&self) -> Self::Base;
|
||||
}
|
|
@ -1,258 +0,0 @@
|
|||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
use super::{
|
||||
structure::{StructField, StructFields},
|
||||
ProxyType,
|
||||
};
|
||||
use crate::codegen::{
|
||||
values::{ArraySliceValue, NDArrayValue, ProxyValue},
|
||||
{CodeGenContext, CodeGenerator},
|
||||
};
|
||||
|
||||
/// Proxy type for a `ndarray` type in LLVM.
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct NDArrayType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct NDArrayStructFields<'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> 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 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}"));
|
||||
};
|
||||
if llvm_ndarray_ty.count_fields() != 3 {
|
||||
return Err(format!(
|
||||
"Expected 3 fields in `NDArray`, got {}",
|
||||
llvm_ndarray_ty.count_fields()
|
||||
));
|
||||
}
|
||||
|
||||
let ndarray_ndims_ty = llvm_ndarray_ty.get_field_type_at_index(0).unwrap();
|
||||
let Ok(ndarray_ndims_ty) = IntType::try_from(ndarray_ndims_ty) else {
|
||||
return Err(format!("Expected int type for `ndarray.0`, got {ndarray_ndims_ty}"));
|
||||
};
|
||||
if ndarray_ndims_ty.get_bit_width() != llvm_usize.get_bit_width() {
|
||||
return Err(format!(
|
||||
"Expected {}-bit int type for `ndarray.0`, got {}-bit int",
|
||||
llvm_usize.get_bit_width(),
|
||||
ndarray_ndims_ty.get_bit_width()
|
||||
));
|
||||
}
|
||||
|
||||
let ndarray_dims_ty = llvm_ndarray_ty.get_field_type_at_index(1).unwrap();
|
||||
let Ok(ndarray_pdims) = PointerType::try_from(ndarray_dims_ty) else {
|
||||
return Err(format!("Expected pointer type for `ndarray.1`, got {ndarray_dims_ty}"));
|
||||
};
|
||||
let ndarray_dims = ndarray_pdims.get_element_type();
|
||||
let Ok(ndarray_dims) = IntType::try_from(ndarray_dims) else {
|
||||
return Err(format!(
|
||||
"Expected pointer-to-int type for `ndarray.1`, got pointer-to-{ndarray_dims}"
|
||||
));
|
||||
};
|
||||
if ndarray_dims.get_bit_width() != llvm_usize.get_bit_width() {
|
||||
return Err(format!(
|
||||
"Expected pointer-to-{}-bit int type for `ndarray.1`, got pointer-to-{}-bit int",
|
||||
llvm_usize.get_bit_width(),
|
||||
ndarray_dims.get_bit_width()
|
||||
));
|
||||
}
|
||||
|
||||
let ndarray_data_ty = llvm_ndarray_ty.get_field_type_at_index(2).unwrap();
|
||||
let Ok(ndarray_pdata) = PointerType::try_from(ndarray_data_ty) else {
|
||||
return Err(format!("Expected pointer type for `ndarray.2`, got {ndarray_data_ty}"));
|
||||
};
|
||||
let ndarray_data = ndarray_pdata.get_element_type();
|
||||
let Ok(ndarray_data) = IntType::try_from(ndarray_data) else {
|
||||
return Err(format!(
|
||||
"Expected pointer-to-int type for `ndarray.2`, got pointer-to-{ndarray_data}"
|
||||
));
|
||||
};
|
||||
if ndarray_data.get_bit_width() != 8 {
|
||||
return Err(format!(
|
||||
"Expected pointer-to-8-bit int type for `ndarray.1`, got pointer-to-{}-bit int",
|
||||
ndarray_data.get_bit_width()
|
||||
));
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
// TODO: Move this into e.g. StructProxyType
|
||||
#[must_use]
|
||||
fn fields(ctx: &'ctx Context, llvm_usize: IntType<'ctx>) -> NDArrayStructFields<'ctx> {
|
||||
NDArrayStructFields::new(ctx, llvm_usize)
|
||||
}
|
||||
|
||||
// TODO: Move this into e.g. StructProxyType
|
||||
#[must_use]
|
||||
pub fn get_fields(
|
||||
&self,
|
||||
ctx: &'ctx Context,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> NDArrayStructFields<'ctx> {
|
||||
Self::fields(ctx, 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> {
|
||||
// struct NDArray { num_dims: size_t, dims: size_t*, data: i8* }
|
||||
//
|
||||
// * data : Pointer to an array containing the array data
|
||||
// * itemsize: The size of each NDArray elements in bytes
|
||||
// * ndims : Number of dimensions in the array
|
||||
// * shape : Pointer to an array containing the shape of the NDArray
|
||||
// * strides : Pointer to an array indicating the number of bytes between each element at a dimension
|
||||
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>,
|
||||
) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_ndarray = Self::llvm_type(ctx, llvm_usize);
|
||||
|
||||
NDArrayType { ty: llvm_ndarray, dtype, llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an [`NDArrayType`] from a [`PointerType`] representing an `NDArray`.
|
||||
#[must_use]
|
||||
pub fn from_type(
|
||||
ptr_ty: PointerType<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr_ty, llvm_usize).is_ok());
|
||||
|
||||
NDArrayType { ty: ptr_ty, dtype, llvm_usize }
|
||||
}
|
||||
|
||||
/// Returns the type of the `size` field of this `ndarray` 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(0)
|
||||
.map(BasicTypeEnum::into_int_type)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Returns the element type of this `ndarray` type.
|
||||
#[must_use]
|
||||
pub fn element_type(&self) -> BasicTypeEnum<'ctx> {
|
||||
self.dtype
|
||||
}
|
||||
}
|
||||
|
||||
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 new_value<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Value {
|
||||
self.map_value(
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap(),
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
fn new_array_value<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 map_value(
|
||||
&self,
|
||||
value: <Self::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Value {
|
||||
debug_assert_eq!(value.get_type(), self.as_base_type());
|
||||
|
||||
NDArrayValue::from_pointer_value(value, self.dtype, self.llvm_usize, name)
|
||||
}
|
||||
|
||||
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()
|
||||
}
|
||||
}
|
|
@ -1,159 +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()
|
||||
}
|
||||
}
|
||||
|
||||
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 new_value<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Value {
|
||||
self.map_value(
|
||||
generator
|
||||
.gen_var_alloc(
|
||||
ctx,
|
||||
self.as_base_type().get_element_type().into_struct_type().into(),
|
||||
name,
|
||||
)
|
||||
.unwrap(),
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
fn new_array_value<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 map_value(
|
||||
&self,
|
||||
value: <Self::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Value {
|
||||
debug_assert_eq!(value.get_type(), self.as_base_type());
|
||||
|
||||
RangeValue::from_pointer_value(value, name)
|
||||
}
|
||||
|
||||
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()
|
||||
}
|
||||
}
|
|
@ -1,203 +0,0 @@
|
|||
use std::marker::PhantomData;
|
||||
|
||||
use inkwell::{
|
||||
context::AsContextRef,
|
||||
types::{BasicTypeEnum, IntType},
|
||||
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 }
|
||||
}
|
||||
|
||||
/// 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_from_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
|
||||
}
|
||||
}
|
|
@ -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>;
|
||||
/// 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 ndarray::*;
|
||||
pub use range::*;
|
||||
|
||||
mod array;
|
||||
mod list;
|
||||
mod ndarray;
|
||||
mod range;
|
||||
|
||||
/// 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;
|
||||
}
|
|
@ -1,523 +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::{call_ndarray_calc_size, call_ndarray_flatten_index},
|
||||
llvm_intrinsics::call_int_umin,
|
||||
stmt::gen_for_callback_incrementing,
|
||||
types::NDArrayType,
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Proxy type for accessing an `NDArray` value in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
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>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self {
|
||||
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
|
||||
|
||||
NDArrayValue { value: ptr, dtype, llvm_usize, name }
|
||||
}
|
||||
|
||||
/// 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.get_type()
|
||||
.get_fields(ctx.ctx, self.llvm_usize)
|
||||
.ndims
|
||||
.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()
|
||||
}
|
||||
|
||||
/// 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.get_type()
|
||||
.get_fields(ctx.ctx, self.llvm_usize)
|
||||
.shape
|
||||
.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>) {
|
||||
ctx.builder.build_store(self.ptr_to_shape(ctx), dims).unwrap();
|
||||
}
|
||||
|
||||
/// 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)
|
||||
}
|
||||
|
||||
/// 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.get_type()
|
||||
.get_fields(ctx.ctx, self.llvm_usize)
|
||||
.data
|
||||
.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();
|
||||
ctx.builder.build_store(self.ptr_to_data(ctx), data).unwrap();
|
||||
}
|
||||
|
||||
/// Convenience method for creating a new array storing data elements with the given element
|
||||
/// type `elem_ty` and `size`.
|
||||
pub fn create_data(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
elem_ty: BasicTypeEnum<'ctx>,
|
||||
size: IntValue<'ctx>,
|
||||
) {
|
||||
let itemsize =
|
||||
ctx.builder.build_int_cast(elem_ty.size_of().unwrap(), size.get_type(), "").unwrap();
|
||||
let nbytes = ctx.builder.build_int_mul(size, itemsize, "").unwrap();
|
||||
|
||||
// TODO: What about alignment?
|
||||
self.store_data(
|
||||
ctx,
|
||||
ctx.builder.build_array_alloca(ctx.ctx.i8_type(), nbytes, "").unwrap(),
|
||||
);
|
||||
}
|
||||
|
||||
/// Returns a proxy object to the field storing the data of this `NDArray`.
|
||||
#[must_use]
|
||||
pub fn data(&self) -> NDArrayDataProxy<'ctx, '_> {
|
||||
NDArrayDataProxy(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.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 `dims` 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> {
|
||||
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(self.0.ptr_to_shape(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_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 `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> {
|
||||
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(self.0.ptr_to_data(ctx), var_name.as_str())
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
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 = 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, '_>
|
||||
{
|
||||
}
|
|
@ -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()
|
||||
}
|
||||
}
|
|
@ -1,4 +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,
|
||||
|
@ -13,13 +19,8 @@
|
|||
clippy::wildcard_imports
|
||||
)]
|
||||
|
||||
// users of nac3core need to use the same version of these dependencies, so expose them as nac3core::*
|
||||
pub use inkwell;
|
||||
pub use nac3parser;
|
||||
|
||||
pub mod codegen;
|
||||
pub mod symbol_resolver;
|
||||
pub mod toplevel;
|
||||
pub mod typecheck;
|
||||
|
||||
extern crate self as nac3core;
|
||||
pub(crate) mod util;
|
||||
|
|
|
@ -1,15 +1,7 @@
|
|||
use std::{
|
||||
collections::{HashMap, HashSet},
|
||||
fmt::{Debug, Display},
|
||||
rc::Rc,
|
||||
sync::Arc,
|
||||
};
|
||||
|
||||
use inkwell::values::{BasicValueEnum, FloatValue, IntValue, PointerValue, StructValue};
|
||||
use itertools::{chain, izip, Itertools};
|
||||
use parking_lot::RwLock;
|
||||
|
||||
use nac3parser::ast::{Constant, Expr, Location, StrRef};
|
||||
use std::fmt::Debug;
|
||||
use std::rc::Rc;
|
||||
use std::sync::Arc;
|
||||
use std::{collections::HashMap, collections::HashSet, fmt::Display};
|
||||
|
||||
use crate::{
|
||||
codegen::{CodeGenContext, CodeGenerator},
|
||||
|
@ -19,6 +11,10 @@ use crate::{
|
|||
typedef::{Type, TypeEnum, Unifier, VarMap},
|
||||
},
|
||||
};
|
||||
use inkwell::values::{BasicValueEnum, FloatValue, IntValue, PointerValue, StructValue};
|
||||
use itertools::{chain, izip, Itertools};
|
||||
use nac3parser::ast::{Constant, Expr, Location, StrRef};
|
||||
use parking_lot::RwLock;
|
||||
|
||||
#[derive(Clone, PartialEq, Debug)]
|
||||
pub enum SymbolValue {
|
||||
|
@ -82,14 +78,14 @@ impl SymbolValue {
|
|||
}
|
||||
Constant::Tuple(t) => {
|
||||
let expected_ty = unifier.get_ty(expected_ty);
|
||||
let TypeEnum::TTuple { ty, is_vararg_ctx } = expected_ty.as_ref() else {
|
||||
let TypeEnum::TTuple { ty } = expected_ty.as_ref() else {
|
||||
return Err(format!(
|
||||
"Expected {:?}, but got Tuple",
|
||||
expected_ty.get_type_name()
|
||||
));
|
||||
};
|
||||
|
||||
assert!(*is_vararg_ctx || ty.len() == t.len());
|
||||
assert_eq!(ty.len(), t.len());
|
||||
|
||||
let elems = t
|
||||
.iter()
|
||||
|
@ -159,7 +155,7 @@ impl SymbolValue {
|
|||
SymbolValue::Bool(_) => primitives.bool,
|
||||
SymbolValue::Tuple(vs) => {
|
||||
let vs_tys = vs.iter().map(|v| v.get_type(primitives, unifier)).collect::<Vec<_>>();
|
||||
unifier.add_ty(TypeEnum::TTuple { ty: vs_tys, is_vararg_ctx: false })
|
||||
unifier.add_ty(TypeEnum::TTuple { ty: vs_tys })
|
||||
}
|
||||
SymbolValue::OptionSome(_) | SymbolValue::OptionNone => primitives.option,
|
||||
}
|
||||
|
@ -369,7 +365,6 @@ pub trait SymbolResolver {
|
|||
&self,
|
||||
str: StrRef,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut dyn CodeGenerator,
|
||||
) -> Option<ValueEnum<'ctx>>;
|
||||
|
||||
fn get_default_param_value(&self, expr: &Expr) -> Option<SymbolValue>;
|
||||
|
@ -487,7 +482,7 @@ pub fn parse_type_annotation<T>(
|
|||
parse_type_annotation(resolver, top_level_defs, unifier, primitives, elt)
|
||||
})
|
||||
.collect::<Result<Vec<_>, _>>()?;
|
||||
Ok(unifier.add_ty(TypeEnum::TTuple { ty, is_vararg_ctx: false }))
|
||||
Ok(unifier.add_ty(TypeEnum::TTuple { ty }))
|
||||
} else {
|
||||
Err(HashSet::from(["Expected multiple elements for tuple".into()]))
|
||||
}
|
||||
|
|
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue