Compare commits
12 Commits
master
...
ndstrides-
Author | SHA1 | Date | |
---|---|---|---|
eac164ce11 | |||
e8aa6129f0 | |||
e1abb819c6 | |||
db9e9586b5 | |||
2525369760 | |||
06b64ea888 | |||
37a022e156 | |||
17e8eeaa46 | |||
eb3aa18ce1 | |||
8068bd5cb0 | |||
3a8c4009fd | |||
ca13f56404 |
@ -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
.gitignore
vendored
1
.gitignore
vendored
@ -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]
|
||||
|
610
Cargo.lock
generated
610
Cargo.lock
generated
File diff suppressed because it is too large
Load Diff
@ -4,7 +4,6 @@ members = [
|
||||
"nac3ast",
|
||||
"nac3parser",
|
||||
"nac3core",
|
||||
"nac3core/nac3core_derive",
|
||||
"nac3standalone",
|
||||
"nac3artiq",
|
||||
"runkernel",
|
||||
|
6
flake.lock
generated
6
flake.lock
generated
@ -2,11 +2,11 @@
|
||||
"nodes": {
|
||||
"nixpkgs": {
|
||||
"locked": {
|
||||
"lastModified": 1735834308,
|
||||
"narHash": "sha256-dklw3AXr3OGO4/XT1Tu3Xz9n/we8GctZZ75ZWVqAVhk=",
|
||||
"lastModified": 1720418205,
|
||||
"narHash": "sha256-cPJoFPXU44GlhWg4pUk9oUPqurPlCFZ11ZQPk21GTPU=",
|
||||
"owner": "NixOS",
|
||||
"repo": "nixpkgs",
|
||||
"rev": "6df24922a1400241dae323af55f30e4318a6ca65",
|
||||
"rev": "655a58a72a6601292512670343087c2d75d859c1",
|
||||
"type": "github"
|
||||
},
|
||||
"original": {
|
||||
|
42
flake.nix
42
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=${demo-linalg-stub32}/lib/liblinalg.a
|
||||
./check_demos.sh -i686
|
||||
./check_demos.sh
|
||||
popd
|
||||
echo "Running Cargo tests..."
|
||||
cargoCheckHook
|
||||
@ -107,18 +90,18 @@
|
||||
(pkgs.fetchFromGitHub {
|
||||
owner = "m-labs";
|
||||
repo = "sipyco";
|
||||
rev = "094a6cd63ffa980ef63698920170e50dc9ba77fd";
|
||||
sha256 = "sha256-PPnAyDedUQ7Og/Cby9x5OT9wMkNGTP8GS53V6N/dk4w=";
|
||||
rev = "939f84f9b5eef7efbf7423c735d1834783b6140e";
|
||||
sha256 = "sha256-15Nun4EY35j+6SPZkjzZtyH/ncxLS60KuGJjFh5kSTc=";
|
||||
})
|
||||
(pkgs.fetchFromGitHub {
|
||||
owner = "m-labs";
|
||||
repo = "artiq";
|
||||
rev = "28c9de3e251daa89a8c9fd79d5ab64a3ec03bac6";
|
||||
sha256 = "sha256-vAvpbHc5B+1wtG8zqN7j9dQE1ON+i22v+uqA+tw6Gak=";
|
||||
rev = "923ca3377d42c815f979983134ec549dc39d3ca0";
|
||||
sha256 = "sha256-oJoEeNEeNFSUyh6jXG8Tzp6qHVikeHS0CzfE+mODPgw=";
|
||||
})
|
||||
];
|
||||
buildInputs = [
|
||||
(python3-mimalloc.withPackages(ps: [ ps.numpy ps.scipy ps.jsonschema ps.lmdb ps.platformdirs nac3artiq-instrumented ]))
|
||||
(python3-mimalloc.withPackages(ps: [ ps.numpy ps.scipy ps.jsonschema ps.lmdb nac3artiq-instrumented ]))
|
||||
pkgs.llvmPackages_14.llvm.out
|
||||
];
|
||||
phases = [ "buildPhase" "installPhase" ];
|
||||
@ -168,7 +151,7 @@
|
||||
buildInputs = with pkgs; [
|
||||
# build dependencies
|
||||
packages.x86_64-linux.llvm-nac3
|
||||
(pkgs.wrapClangMulti llvmPackages_14.clang) llvmPackages_14.llvm.out # for running nac3standalone demos
|
||||
llvmPackages_14.clang llvmPackages_14.llvm.out # for running nac3standalone demos
|
||||
packages.x86_64-linux.llvm-tools-irrt
|
||||
cargo
|
||||
rustc
|
||||
@ -181,11 +164,6 @@
|
||||
pre-commit
|
||||
rustfmt
|
||||
];
|
||||
shellHook =
|
||||
''
|
||||
export DEMO_LINALG_STUB=${packages.x86_64-linux.demo-linalg-stub}/lib/liblinalg.a
|
||||
export DEMO_LINALG_STUB32=${packages.x86_64-linux.demo-linalg-stub32}/lib/liblinalg.a
|
||||
'';
|
||||
};
|
||||
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"]
|
||||
|
@ -7,6 +7,33 @@ class EmbeddingMap:
|
||||
self.function_map = {}
|
||||
self.attributes_writeback = []
|
||||
|
||||
# preallocate exception names
|
||||
self.preallocate_runtime_exception_names(["RuntimeError",
|
||||
"RTIOUnderflow",
|
||||
"RTIOOverflow",
|
||||
"RTIODestinationUnreachable",
|
||||
"DMAError",
|
||||
"I2CError",
|
||||
"CacheError",
|
||||
"SPIError",
|
||||
"0:ZeroDivisionError",
|
||||
"0:IndexError",
|
||||
"0:ValueError",
|
||||
"0:RuntimeError",
|
||||
"0:AssertionError",
|
||||
"0:KeyError",
|
||||
"0:NotImplementedError",
|
||||
"0:OverflowError",
|
||||
"0:IOError",
|
||||
"0:UnwrapNoneError"])
|
||||
|
||||
def preallocate_runtime_exception_names(self, names):
|
||||
for i, name in enumerate(names):
|
||||
if ":" not in name:
|
||||
name = "0:artiq.coredevice.exceptions." + name
|
||||
exn_id = self.store_str(name)
|
||||
assert exn_id == i
|
||||
|
||||
def store_function(self, key, fun):
|
||||
self.function_map[key] = fun
|
||||
return key
|
||||
|
@ -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__"):
|
||||
|
@ -1,29 +0,0 @@
|
||||
from min_artiq import *
|
||||
import numpy
|
||||
from numpy import int32
|
||||
|
||||
|
||||
@nac3
|
||||
class NumpyBoolDecay:
|
||||
core: KernelInvariant[Core]
|
||||
np_true: KernelInvariant[bool]
|
||||
np_false: KernelInvariant[bool]
|
||||
np_int: KernelInvariant[int32]
|
||||
np_float: KernelInvariant[float]
|
||||
np_str: KernelInvariant[str]
|
||||
|
||||
def __init__(self):
|
||||
self.core = Core()
|
||||
self.np_true = numpy.True_
|
||||
self.np_false = numpy.False_
|
||||
self.np_int = numpy.int32(0)
|
||||
self.np_float = numpy.float64(0.0)
|
||||
self.np_str = numpy.str_("")
|
||||
|
||||
@kernel
|
||||
def run(self):
|
||||
pass
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
NumpyBoolDecay().run()
|
@ -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 inkwell::{
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::{Linkage, Module},
|
||||
passes::PassBuilderOptions,
|
||||
support::is_multithreaded,
|
||||
targets::*,
|
||||
OptimizationLevel,
|
||||
};
|
||||
use tempfile::{self, TempDir};
|
||||
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::{
|
||||
concrete_type::ConcreteTypeStore, gen_func_impl, irrt::load_irrt, CodeGenLLVMOptions,
|
||||
CodeGenTargetMachineOptions, CodeGenTask, CodeGenerator, WithCall, WorkerRegistry,
|
||||
},
|
||||
inkwell::{
|
||||
context::Context,
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::{FlagBehavior, Linkage, Module},
|
||||
passes::PassBuilderOptions,
|
||||
support::is_multithreaded,
|
||||
targets::*,
|
||||
OptimizationLevel,
|
||||
},
|
||||
nac3parser::{
|
||||
ast::{Constant, ExprKind, Located, Stmt, StmtKind, StrRef},
|
||||
parser::parse_program,
|
||||
},
|
||||
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: &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))
|
||||
})?;
|
||||
let (module_name, source_file) = Python::with_gil(|py| -> PyResult<(String, String)> {
|
||||
let module: &PyAny = module.extract(py)?;
|
||||
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.as_ref(), 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.as_ref(), 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();
|
||||
@ -572,12 +480,13 @@ 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(),
|
||||
name_to_pyid,
|
||||
module: module.to_object(py),
|
||||
helper: helper.clone(),
|
||||
helper,
|
||||
string_store: self.string_store.clone(),
|
||||
exception_ids: self.exception_ids.clone(),
|
||||
deferred_eval_store: self.deferred_eval_store.clone(),
|
||||
@ -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 {
|
||||
@ -822,20 +726,6 @@ impl Nac3 {
|
||||
panic!("Failed to run optimization for module `main`: {}", err.to_string());
|
||||
}
|
||||
|
||||
Python::with_gil(|py| {
|
||||
let string_store = self.string_store.read();
|
||||
let mut string_store_vec = string_store.iter().collect::<Vec<_>>();
|
||||
string_store_vec.sort_by(|(_s1, key1), (_s2, key2)| key1.cmp(key2));
|
||||
for (s, key) in string_store_vec {
|
||||
let embed_key: i32 = helper.store_str.call1(py, (s,)).unwrap().extract(py).unwrap();
|
||||
assert_eq!(
|
||||
embed_key, *key,
|
||||
"string {s} is out of sync between embedding map (key={embed_key}) and \
|
||||
the internal string store (key={key})"
|
||||
);
|
||||
}
|
||||
});
|
||||
|
||||
link_fn(&main)
|
||||
}
|
||||
|
||||
@ -888,41 +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(),
|
||||
@ -992,7 +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(),
|
||||
@ -1008,7 +863,6 @@ impl Nac3 {
|
||||
name: "t".into(),
|
||||
ty: primitive.int64,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: primitive.none,
|
||||
vars: VarMap::new(),
|
||||
@ -1028,7 +882,6 @@ impl Nac3 {
|
||||
name: "dt".into(),
|
||||
ty: primitive.int64,
|
||||
default_value: None,
|
||||
is_vararg: false,
|
||||
}],
|
||||
ret: primitive.none,
|
||||
vars: VarMap::new(),
|
||||
@ -1085,48 +938,6 @@ impl Nac3 {
|
||||
let working_directory = tempfile::Builder::new().prefix("nac3-").tempdir().unwrap();
|
||||
fs::write(working_directory.path().join("kernel.ld"), include_bytes!("kernel.ld")).unwrap();
|
||||
|
||||
let mut string_store: HashMap<String, i32> = HashMap::default();
|
||||
|
||||
// Keep this list of exceptions in sync with `EXCEPTION_ID_LOOKUP` in `artiq::firmware::ksupport::eh_artiq`
|
||||
// The exceptions declared here must be defined in `artiq.coredevice.exceptions`
|
||||
// Verify synchronization by running the test cases in `artiq.test.coredevice.test_exceptions`
|
||||
let runtime_exception_names = [
|
||||
"RTIOUnderflow",
|
||||
"RTIOOverflow",
|
||||
"RTIODestinationUnreachable",
|
||||
"DMAError",
|
||||
"I2CError",
|
||||
"CacheError",
|
||||
"SPIError",
|
||||
"SubkernelError",
|
||||
"0:AssertionError",
|
||||
"0:AttributeError",
|
||||
"0:IndexError",
|
||||
"0:IOError",
|
||||
"0:KeyError",
|
||||
"0:NotImplementedError",
|
||||
"0:OverflowError",
|
||||
"0:RuntimeError",
|
||||
"0:TimeoutError",
|
||||
"0:TypeError",
|
||||
"0:ValueError",
|
||||
"0:ZeroDivisionError",
|
||||
"0:LinAlgError",
|
||||
"UnwrapNoneError",
|
||||
];
|
||||
|
||||
// Preallocate runtime exception names
|
||||
for (i, name) in runtime_exception_names.iter().enumerate() {
|
||||
let exn_name = if name.find(':').is_none() {
|
||||
format!("0:artiq.coredevice.exceptions.{name}")
|
||||
} else {
|
||||
(*name).to_string()
|
||||
};
|
||||
|
||||
let id = i32::try_from(i).unwrap();
|
||||
string_store.insert(exn_name, id);
|
||||
}
|
||||
|
||||
Ok(Nac3 {
|
||||
isa,
|
||||
time_fns,
|
||||
@ -1136,7 +947,7 @@ impl Nac3 {
|
||||
top_levels: Vec::default(),
|
||||
pyid_to_def: Arc::default(),
|
||||
working_directory,
|
||||
string_store: Arc::new(string_store.into()),
|
||||
string_store: Arc::default(),
|
||||
exception_ids: Arc::default(),
|
||||
deferred_eval_store: DeferredEvaluationStore::new(),
|
||||
llvm_options: CodeGenLLVMOptions {
|
||||
@ -1146,12 +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();
|
||||
@ -1161,21 +967,13 @@ 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) {
|
||||
modules.insert(id_fn.call1((&module,))?.extract()?, module);
|
||||
}
|
||||
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) {
|
||||
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()?;
|
||||
let module = getmodule_fn.call1((class,))?.extract()?;
|
||||
modules.insert(id_fn.call1((&module,))?.extract()?, module);
|
||||
class_ids.insert(id_fn.call1((class,))?.extract()?);
|
||||
}
|
||||
Ok((modules, class_ids))
|
||||
})?;
|
||||
|
@ -1,32 +1,14 @@
|
||||
use std::{
|
||||
collections::{HashMap, HashSet},
|
||||
sync::{
|
||||
atomic::{AtomicBool, Ordering::Relaxed},
|
||||
Arc,
|
||||
},
|
||||
use inkwell::{
|
||||
types::{BasicType, BasicTypeEnum},
|
||||
values::BasicValueEnum,
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use itertools::Itertools;
|
||||
use parking_lot::RwLock;
|
||||
use pyo3::{
|
||||
types::{PyDict, PyTuple},
|
||||
PyAny, PyErr, PyObject, PyResult, Python,
|
||||
};
|
||||
|
||||
use super::PrimitivePythonId;
|
||||
use nac3core::{
|
||||
codegen::{
|
||||
types::{ndarray::NDArrayType, ProxyType},
|
||||
values::ndarray::make_contiguous_strides,
|
||||
classes::{NDArrayType, ProxyType},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
inkwell::{
|
||||
module::Linkage,
|
||||
types::{BasicType, BasicTypeEnum},
|
||||
values::BasicValueEnum,
|
||||
AddressSpace,
|
||||
},
|
||||
nac3parser::ast::{self, StrRef},
|
||||
symbol_resolver::{StaticValue, SymbolResolver, SymbolValue, ValueEnum},
|
||||
toplevel::{
|
||||
helper::PrimDef,
|
||||
@ -38,6 +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 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
|
||||
@ -931,13 +922,10 @@ impl InnerResolver {
|
||||
|_| Ok(Ok(extracted_ty)),
|
||||
)
|
||||
} else if unifier.unioned(extracted_ty, primitives.bool) {
|
||||
if obj.extract::<bool>().is_ok()
|
||||
|| obj.call_method("__bool__", (), None)?.extract::<bool>().is_ok()
|
||||
{
|
||||
Ok(Ok(extracted_ty))
|
||||
} else {
|
||||
Ok(Err(format!("{obj} is not in the range of bool")))
|
||||
}
|
||||
obj.extract::<bool>().map_or_else(
|
||||
|_| Ok(Err(format!("{obj} is not in the range of bool"))),
|
||||
|_| Ok(Ok(extracted_ty)),
|
||||
)
|
||||
} else if unifier.unioned(extracted_ty, primitives.float) {
|
||||
obj.extract::<f64>().map_or_else(
|
||||
|_| Ok(Err(format!("{obj} is not in the range of float64"))),
|
||||
@ -977,18 +965,14 @@ impl InnerResolver {
|
||||
let val: u64 = obj.extract().unwrap();
|
||||
self.id_to_primitive.write().insert(id, PrimitiveValue::U64(val));
|
||||
Ok(Some(ctx.ctx.i64_type().const_int(val, false).into()))
|
||||
} else if ty_id == self.primitive_ids.bool {
|
||||
} else if ty_id == self.primitive_ids.bool || ty_id == self.primitive_ids.np_bool_ {
|
||||
let val: bool = obj.extract().unwrap();
|
||||
self.id_to_primitive.write().insert(id, PrimitiveValue::Bool(val));
|
||||
Ok(Some(ctx.ctx.i8_type().const_int(u64::from(val), false).into()))
|
||||
} else if ty_id == self.primitive_ids.np_bool_ {
|
||||
let val: bool = obj.call_method("__bool__", (), None)?.extract().unwrap();
|
||||
self.id_to_primitive.write().insert(id, PrimitiveValue::Bool(val));
|
||||
Ok(Some(ctx.ctx.i8_type().const_int(u64::from(val), false).into()))
|
||||
} 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));
|
||||
@ -1007,15 +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);
|
||||
@ -1092,19 +1069,18 @@ impl InnerResolver {
|
||||
} else {
|
||||
unreachable!("must be ndarray")
|
||||
};
|
||||
let (ndarray_dtype, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ndarray_ty);
|
||||
let (ndarray_dtype, ndarray_ndims) =
|
||||
unpack_ndarray_var_tys(&mut ctx.unifier, ndarray_ty);
|
||||
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = NDArrayType::from_unifier_type(generator, ctx, ndarray_ty);
|
||||
let dtype = llvm_ndarray.element_type();
|
||||
let ndarray_dtype_llvm_ty = ctx.get_llvm_type(generator, ndarray_dtype);
|
||||
let ndarray_llvm_ty = NDArrayType::new(generator, ctx.ctx, ndarray_dtype_llvm_ty);
|
||||
|
||||
{
|
||||
if self.global_value_ids.read().contains_key(&id) {
|
||||
let global = ctx.module.get_global(&id_str).unwrap_or_else(|| {
|
||||
ctx.module.add_global(
|
||||
llvm_ndarray.as_base_type().get_element_type().into_struct_type(),
|
||||
ndarray_llvm_ty.as_underlying_type(),
|
||||
Some(AddressSpace::default()),
|
||||
&id_str,
|
||||
)
|
||||
@ -1114,44 +1090,40 @@ impl InnerResolver {
|
||||
self.global_value_ids.write().insert(id, obj.into());
|
||||
}
|
||||
|
||||
let ndims = llvm_ndarray.ndims();
|
||||
let TypeEnum::TLiteral { values, .. } = &*ctx.unifier.get_ty_immutable(ndarray_ndims)
|
||||
else {
|
||||
unreachable!("Expected Literal for ndarray_ndims")
|
||||
};
|
||||
|
||||
let ndarray_ndims = if values.len() == 1 {
|
||||
values[0].clone()
|
||||
} else {
|
||||
todo!("Unpacking literal of more than one element unimplemented")
|
||||
};
|
||||
let Ok(ndarray_ndims) = u64::try_from(ndarray_ndims) else {
|
||||
unreachable!("Expected u64 value for ndarray_ndims")
|
||||
};
|
||||
|
||||
// Obtain the shape of the ndarray
|
||||
let shape_tuple: &PyTuple = obj.getattr("shape")?.downcast()?;
|
||||
assert_eq!(shape_tuple.len(), ndims as usize);
|
||||
|
||||
// The Rust type inferencer cannot figure this out
|
||||
let shape_values = shape_tuple
|
||||
assert_eq!(shape_tuple.len(), ndarray_ndims as usize);
|
||||
let shape_values: Result<Option<Vec<_>>, _> = shape_tuple
|
||||
.iter()
|
||||
.enumerate()
|
||||
.map(|(i, elem)| {
|
||||
let value = self
|
||||
.get_obj_value(py, elem, ctx, generator, ctx.primitives.usize())
|
||||
.map_err(|e| {
|
||||
super::CompileError::new_err(format!("Error getting element {i}: {e}"))
|
||||
})?
|
||||
.unwrap();
|
||||
let value = ctx
|
||||
.builder
|
||||
.build_int_z_extend(value.into_int_value(), llvm_usize, "")
|
||||
.unwrap();
|
||||
Ok(value)
|
||||
self.get_obj_value(py, elem, ctx, generator, ctx.primitives.usize()).map_err(
|
||||
|e| super::CompileError::new_err(format!("Error getting element {i}: {e}")),
|
||||
)
|
||||
})
|
||||
.collect::<Result<Vec<_>, PyErr>>()?;
|
||||
|
||||
// Also use this opportunity to get the constant values of `shape_values` for calculating strides.
|
||||
let shape_u64s = shape_values
|
||||
.iter()
|
||||
.map(|dim| {
|
||||
assert!(dim.is_const());
|
||||
dim.get_zero_extended_constant().unwrap()
|
||||
})
|
||||
.collect_vec();
|
||||
let shape_values = llvm_usize.const_array(&shape_values);
|
||||
.collect();
|
||||
let shape_values = shape_values?.unwrap();
|
||||
let shape_values = llvm_usize.const_array(
|
||||
&shape_values.into_iter().map(BasicValueEnum::into_int_value).collect_vec(),
|
||||
);
|
||||
|
||||
// create a global for ndarray.shape and initialize it using the shape
|
||||
let shape_global = ctx.module.add_global(
|
||||
llvm_usize.array_type(ndims as u32),
|
||||
llvm_usize.array_type(ndarray_ndims as u32),
|
||||
Some(AddressSpace::default()),
|
||||
&(id_str.clone() + ".shape"),
|
||||
);
|
||||
@ -1159,25 +1131,17 @@ impl InnerResolver {
|
||||
|
||||
// Obtain the (flattened) elements of the ndarray
|
||||
let sz: usize = obj.getattr("size")?.extract()?;
|
||||
let data: Vec<_> = (0..sz)
|
||||
let data: Result<Option<Vec<_>>, _> = (0..sz)
|
||||
.map(|i| {
|
||||
obj.getattr("flat")?.get_item(i).and_then(|elem| {
|
||||
let value = self
|
||||
.get_obj_value(py, elem, ctx, generator, ndarray_dtype)
|
||||
.map_err(|e| {
|
||||
super::CompileError::new_err(format!(
|
||||
"Error getting element {i}: {e}"
|
||||
))
|
||||
})?
|
||||
.unwrap();
|
||||
|
||||
assert_eq!(value.get_type(), dtype);
|
||||
Ok(value)
|
||||
self.get_obj_value(py, elem, ctx, generator, ndarray_dtype).map_err(|e| {
|
||||
super::CompileError::new_err(format!("Error getting element {i}: {e}"))
|
||||
})
|
||||
})
|
||||
})
|
||||
.try_collect()?;
|
||||
let data = data.into_iter();
|
||||
let data = match dtype {
|
||||
.collect();
|
||||
let data = data?.unwrap().into_iter();
|
||||
let data = match ndarray_dtype_llvm_ty {
|
||||
BasicTypeEnum::ArrayType(ty) => {
|
||||
ty.const_array(&data.map(BasicValueEnum::into_array_value).collect_vec())
|
||||
}
|
||||
@ -1202,102 +1166,37 @@ impl InnerResolver {
|
||||
};
|
||||
|
||||
// create a global for ndarray.data and initialize it using the elements
|
||||
//
|
||||
// NOTE: NDArray's `data` is `u8*`. Here, `data_global` is an array of `dtype`.
|
||||
// We will have to cast it to an `u8*` later.
|
||||
let data_global = ctx.module.add_global(
|
||||
dtype.array_type(sz as u32),
|
||||
ndarray_dtype_llvm_ty.array_type(sz as u32),
|
||||
Some(AddressSpace::default()),
|
||||
&(id_str.clone() + ".data"),
|
||||
);
|
||||
data_global.set_initializer(&data);
|
||||
|
||||
// Get the constant itemsize.
|
||||
//
|
||||
// NOTE: dtype.size_of() may return a non-constant, where `TargetData::get_store_size`
|
||||
// will always return a constant size.
|
||||
let itemsize = ctx
|
||||
.registry
|
||||
.llvm_options
|
||||
.create_target_machine()
|
||||
.map(|tm| tm.get_target_data().get_store_size(&dtype))
|
||||
.unwrap();
|
||||
assert_ne!(itemsize, 0);
|
||||
|
||||
// Create the strides needed for ndarray.strides
|
||||
let strides = make_contiguous_strides(itemsize, ndims, &shape_u64s);
|
||||
let strides =
|
||||
strides.into_iter().map(|stride| llvm_usize.const_int(stride, false)).collect_vec();
|
||||
let strides = llvm_usize.const_array(&strides);
|
||||
|
||||
// create a global for ndarray.strides and initialize it
|
||||
let strides_global = ctx.module.add_global(
|
||||
llvm_usize.array_type(ndims as u32),
|
||||
Some(AddressSpace::default()),
|
||||
&format!("${id_str}.strides"),
|
||||
);
|
||||
strides_global.set_initializer(&strides);
|
||||
|
||||
// create a global for the ndarray object and initialize it
|
||||
let value = ndarray_llvm_ty.as_underlying_type().const_named_struct(&[
|
||||
llvm_usize.const_int(ndarray_ndims, false).into(),
|
||||
shape_global
|
||||
.as_pointer_value()
|
||||
.const_cast(llvm_usize.ptr_type(AddressSpace::default()))
|
||||
.into(),
|
||||
data_global
|
||||
.as_pointer_value()
|
||||
.const_cast(ndarray_dtype_llvm_ty.ptr_type(AddressSpace::default()))
|
||||
.into(),
|
||||
]);
|
||||
|
||||
// NOTE: data_global is an array of dtype, we want a `u8*`.
|
||||
let ndarray_data = data_global.as_pointer_value();
|
||||
let ndarray_data = ctx.builder.build_pointer_cast(ndarray_data, llvm_pi8, "").unwrap();
|
||||
|
||||
let ndarray_itemsize = llvm_usize.const_int(itemsize, false);
|
||||
|
||||
let ndarray_ndims = llvm_usize.const_int(ndims, false);
|
||||
|
||||
// calling as_pointer_value on shape and strides returns [i64 x ndims]*
|
||||
// convert into i64* to conform with expected layout of ndarray
|
||||
|
||||
let ndarray_shape = shape_global.as_pointer_value();
|
||||
let ndarray_shape = unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
ndarray_shape,
|
||||
&[llvm_usize.const_zero(), llvm_usize.const_zero()],
|
||||
"",
|
||||
)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
let ndarray_strides = strides_global.as_pointer_value();
|
||||
let ndarray_strides = unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
ndarray_strides,
|
||||
&[llvm_usize.const_zero(), llvm_usize.const_zero()],
|
||||
"",
|
||||
)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
let ndarray = llvm_ndarray
|
||||
.as_base_type()
|
||||
.get_element_type()
|
||||
.into_struct_type()
|
||||
.const_named_struct(&[
|
||||
ndarray_itemsize.into(),
|
||||
ndarray_ndims.into(),
|
||||
ndarray_shape.into(),
|
||||
ndarray_strides.into(),
|
||||
ndarray_data.into(),
|
||||
]);
|
||||
|
||||
let ndarray_global = ctx.module.add_global(
|
||||
llvm_ndarray.as_base_type().get_element_type().into_struct_type(),
|
||||
let ndarray = ctx.module.add_global(
|
||||
ndarray_llvm_ty.as_underlying_type(),
|
||||
Some(AddressSpace::default()),
|
||||
&id_str,
|
||||
);
|
||||
ndarray_global.set_initializer(&ndarray);
|
||||
ndarray.set_initializer(&value);
|
||||
|
||||
Ok(Some(ndarray_global.as_pointer_value().into()))
|
||||
Ok(Some(ndarray.as_pointer_value().into()))
|
||||
} else if ty_id == self.primitive_ids.tuple {
|
||||
let expected_ty_enum = ctx.unifier.get_ty_immutable(expected_ty);
|
||||
let TypeEnum::TTuple { ty, is_vararg_ctx: false } = expected_ty_enum.as_ref() else {
|
||||
unreachable!()
|
||||
};
|
||||
let TypeEnum::TTuple { ty } = expected_ty_enum.as_ref() else { unreachable!() };
|
||||
|
||||
let tup_tys = ty.iter();
|
||||
let elements: &PyTuple = obj.downcast()?;
|
||||
@ -1452,12 +1351,9 @@ impl InnerResolver {
|
||||
} else if ty_id == self.primitive_ids.uint64 {
|
||||
let val: u64 = obj.extract()?;
|
||||
Ok(SymbolValue::U64(val))
|
||||
} else if ty_id == self.primitive_ids.bool {
|
||||
} else if ty_id == self.primitive_ids.bool || ty_id == self.primitive_ids.np_bool_ {
|
||||
let val: bool = obj.extract()?;
|
||||
Ok(SymbolValue::Bool(val))
|
||||
} else if ty_id == self.primitive_ids.np_bool_ {
|
||||
let val: bool = obj.call_method("__bool__", (), None)?.extract()?;
|
||||
Ok(SymbolValue::Bool(val))
|
||||
} else if ty_id == self.primitive_ids.string || ty_id == self.primitive_ids.np_str_ {
|
||||
let val: String = obj.extract()?;
|
||||
Ok(SymbolValue::Str(val))
|
||||
@ -1556,7 +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();
|
||||
@ -1618,7 +1513,10 @@ impl SymbolResolver for Resolver {
|
||||
if let Some(id) = string_store.get(s) {
|
||||
*id
|
||||
} else {
|
||||
let id = i32::try_from(string_store.len()).unwrap();
|
||||
let id = Python::with_gil(|py| -> PyResult<i32> {
|
||||
self.0.helper.store_str.call1(py, (s,))?.extract(py)
|
||||
})
|
||||
.unwrap();
|
||||
string_store.insert(s.into(), id);
|
||||
id
|
||||
}
|
||||
|
@ -1,12 +1,9 @@
|
||||
use itertools::Either;
|
||||
|
||||
use nac3core::{
|
||||
codegen::CodeGenContext,
|
||||
inkwell::{
|
||||
values::{BasicValueEnum, CallSiteValue},
|
||||
AddressSpace, AtomicOrdering,
|
||||
},
|
||||
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"
|
||||
|
@ -1,36 +1,51 @@
|
||||
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",
|
||||
"-Werror=return-type",
|
||||
"-o",
|
||||
"-",
|
||||
"-I",
|
||||
@ -38,26 +53,16 @@ fn main() {
|
||||
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 +114,48 @@ 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()`
|
||||
"-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();
|
||||
}
|
||||
}
|
||||
|
@ -1,15 +1,9 @@
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/list.hpp"
|
||||
#include "irrt/math.hpp"
|
||||
#include "irrt/range.hpp"
|
||||
#include "irrt/slice.hpp"
|
||||
#include "irrt/string.hpp"
|
||||
#include "irrt/ndarray/basic.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
#include "irrt/ndarray/iter.hpp"
|
||||
#include "irrt/ndarray/indexing.hpp"
|
||||
#include "irrt/ndarray/array.hpp"
|
||||
#include "irrt/ndarray/reshape.hpp"
|
||||
#include "irrt/ndarray/broadcast.hpp"
|
||||
#include "irrt/ndarray/transpose.hpp"
|
||||
#include "irrt/ndarray/matmul.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.
|
||||
*/
|
334
nac3core/irrt/irrt/core.hpp
Normal file
334
nac3core/irrt/irrt/core.hpp
Normal file
@ -0,0 +1,334 @@
|
||||
#pragma once
|
||||
|
||||
#include <irrt/int_defs.hpp>
|
||||
#include <irrt/utils.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 + size + size + 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); \
|
||||
} \
|
||||
}
|
87
nac3core/irrt/irrt/error_context.hpp
Normal file
87
nac3core/irrt/irrt/error_context.hpp
Normal file
@ -0,0 +1,87 @@
|
||||
#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
|
||||
ErrorIds* error_ids;
|
||||
|
||||
// Error thrown by IRRT
|
||||
ErrorId error_id;
|
||||
const char* message_template; // MUST BE `&'static`
|
||||
uint64_t param1;
|
||||
uint64_t param2;
|
||||
uint64_t param3;
|
||||
|
||||
void initialize(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, uint64_t param1 = 0, uint64_t param2 = 0, uint64_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); }
|
||||
|
||||
/// Get a nac3core-understanding `Str<SizeT>` that containing
|
||||
/// the error 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);
|
||||
}
|
||||
};
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
void __nac3_error_context_initialize(ErrorContext* errctx, 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);
|
||||
}
|
||||
|
||||
// Used for testing
|
||||
void __nac3_error_dummy_raise(ErrorContext* errctx) {
|
||||
errctx->set_error(errctx->error_ids->runtime_error, "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)
|
12
nac3core/irrt/irrt/int_defs.hpp
Normal file
12
nac3core/irrt/irrt/int_defs.hpp
Normal file
@ -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
|
||||
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);
|
||||
#endif
|
@ -1,25 +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
|
||||
|
||||
// The type of an index or a value describing the length of a range/slice is always `int32_t`.
|
||||
using SliceIndex = int32_t;
|
@ -1,96 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/math_util.hpp"
|
||||
#include "irrt/slice.hpp"
|
||||
|
||||
namespace {
|
||||
/**
|
||||
* @brief A list in NAC3.
|
||||
*
|
||||
* The `items` field is opaque. You must rely on external contexts to
|
||||
* know how to interpret it.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
struct List {
|
||||
uint8_t* items;
|
||||
SizeT len;
|
||||
};
|
||||
} // namespace
|
||||
|
||||
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"
|
@ -1,95 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
|
||||
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
|
@ -1,132 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/debug.hpp"
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/list.hpp"
|
||||
#include "irrt/ndarray/basic.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
|
||||
namespace {
|
||||
namespace ndarray::array {
|
||||
/**
|
||||
* @brief In the context of `np.array(<list>)`, deduce the ndarray's shape produced by `<list>` and raise
|
||||
* an exception if there is anything wrong with `<shape>` (e.g., inconsistent dimensions `np.array([[1.0, 2.0],
|
||||
* [3.0]])`)
|
||||
*
|
||||
* If this function finds no issues with `<list>`, the deduced shape is written to `shape`. The caller has the
|
||||
* responsibility to allocate `[SizeT; ndims]` for `shape`. The caller must also initialize `shape` with `-1`s because
|
||||
* of implementation details.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void set_and_validate_list_shape_helper(SizeT axis, List<SizeT>* list, SizeT ndims, SizeT* shape) {
|
||||
if (shape[axis] == -1) {
|
||||
// Dimension is unspecified. Set it.
|
||||
shape[axis] = list->len;
|
||||
} else {
|
||||
// Dimension is specified. Check.
|
||||
if (shape[axis] != list->len) {
|
||||
// Mismatch, throw an error.
|
||||
// NOTE: NumPy's error message is more complex and needs more PARAMS to display.
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR,
|
||||
"The requested array has an inhomogenous shape "
|
||||
"after {0} dimension(s).",
|
||||
axis, shape[axis], list->len);
|
||||
}
|
||||
}
|
||||
|
||||
if (axis + 1 == ndims) {
|
||||
// `list` has type `list[ItemType]`
|
||||
// Do nothing
|
||||
} else {
|
||||
// `list` has type `list[list[...]]`
|
||||
List<SizeT>** lists = (List<SizeT>**)(list->items);
|
||||
for (SizeT i = 0; i < list->len; i++) {
|
||||
set_and_validate_list_shape_helper<SizeT>(axis + 1, lists[i], ndims, shape);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief See `set_and_validate_list_shape_helper`.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void set_and_validate_list_shape(List<SizeT>* list, SizeT ndims, SizeT* shape) {
|
||||
for (SizeT axis = 0; axis < ndims; axis++) {
|
||||
shape[axis] = -1; // Sentinel to say this dimension is unspecified.
|
||||
}
|
||||
set_and_validate_list_shape_helper<SizeT>(0, list, ndims, shape);
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief In the context of `np.array(<list>)`, copied the contents stored in `list` to `ndarray`.
|
||||
*
|
||||
* `list` is assumed to be "legal". (i.e., no inconsistent dimensions)
|
||||
*
|
||||
* # Notes on `ndarray`
|
||||
* The caller is responsible for allocating space for `ndarray`.
|
||||
* Here is what this function expects from `ndarray` when called:
|
||||
* - `ndarray->data` has to be allocated, contiguous, and may contain uninitialized values.
|
||||
* - `ndarray->itemsize` has to be initialized.
|
||||
* - `ndarray->ndims` has to be initialized.
|
||||
* - `ndarray->shape` has to be initialized.
|
||||
* - `ndarray->strides` is ignored, but note that `ndarray->data` is contiguous.
|
||||
* When this function call ends:
|
||||
* - `ndarray->data` is written with contents from `<list>`.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void write_list_to_array_helper(SizeT axis, SizeT* index, List<SizeT>* list, NDArray<SizeT>* ndarray) {
|
||||
debug_assert_eq(SizeT, list->len, ndarray->shape[axis]);
|
||||
if (IRRT_DEBUG_ASSERT_BOOL) {
|
||||
if (!ndarray::basic::is_c_contiguous(ndarray)) {
|
||||
raise_debug_assert(SizeT, "ndarray is not C-contiguous", ndarray->strides[0], ndarray->strides[1],
|
||||
NO_PARAM);
|
||||
}
|
||||
}
|
||||
|
||||
if (axis + 1 == ndarray->ndims) {
|
||||
// `list` has type `list[scalar]`
|
||||
// `ndarray` is contiguous, so we can do this, and this is fast.
|
||||
uint8_t* dst = static_cast<uint8_t*>(ndarray->data) + (ndarray->itemsize * (*index));
|
||||
__builtin_memcpy(dst, list->items, ndarray->itemsize * list->len);
|
||||
*index += list->len;
|
||||
} else {
|
||||
// `list` has type `list[list[...]]`
|
||||
List<SizeT>** lists = (List<SizeT>**)(list->items);
|
||||
|
||||
for (SizeT i = 0; i < list->len; i++) {
|
||||
write_list_to_array_helper<SizeT>(axis + 1, index, lists[i], ndarray);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief See `write_list_to_array_helper`.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void write_list_to_array(List<SizeT>* list, NDArray<SizeT>* ndarray) {
|
||||
SizeT index = 0;
|
||||
write_list_to_array_helper<SizeT>((SizeT)0, &index, list, ndarray);
|
||||
}
|
||||
} // namespace ndarray::array
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::array;
|
||||
|
||||
void __nac3_ndarray_array_set_and_validate_list_shape(List<int32_t>* list, int32_t ndims, int32_t* shape) {
|
||||
set_and_validate_list_shape(list, ndims, shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_array_set_and_validate_list_shape64(List<int64_t>* list, int64_t ndims, int64_t* shape) {
|
||||
set_and_validate_list_shape(list, ndims, shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_array_write_list_to_array(List<int32_t>* list, NDArray<int32_t>* ndarray) {
|
||||
write_list_to_array(list, ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_array_write_list_to_array64(List<int64_t>* list, NDArray<int64_t>* ndarray) {
|
||||
write_list_to_array(list, ndarray);
|
||||
}
|
||||
}
|
@ -1,340 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/debug.hpp"
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
|
||||
namespace {
|
||||
namespace ndarray::basic {
|
||||
/**
|
||||
* @brief Assert that `shape` does not contain negative dimensions.
|
||||
*
|
||||
* @param ndims Number of dimensions in `shape`
|
||||
* @param shape The shape to check on
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void assert_shape_no_negative(SizeT ndims, const SizeT* shape) {
|
||||
for (SizeT axis = 0; axis < ndims; axis++) {
|
||||
if (shape[axis] < 0) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR,
|
||||
"negative dimensions are not allowed; axis {0} "
|
||||
"has dimension {1}",
|
||||
axis, shape[axis], NO_PARAM);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Assert that two shapes are the same in the context of writing output to an ndarray.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void assert_output_shape_same(SizeT ndarray_ndims,
|
||||
const SizeT* ndarray_shape,
|
||||
SizeT output_ndims,
|
||||
const SizeT* output_shape) {
|
||||
if (ndarray_ndims != output_ndims) {
|
||||
// There is no corresponding NumPy error message like this.
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "Cannot write output of ndims {0} to an ndarray with ndims {1}",
|
||||
output_ndims, ndarray_ndims, NO_PARAM);
|
||||
}
|
||||
|
||||
for (SizeT axis = 0; axis < ndarray_ndims; axis++) {
|
||||
if (ndarray_shape[axis] != output_shape[axis]) {
|
||||
// There is no corresponding NumPy error message like this.
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR,
|
||||
"Mismatched dimensions on axis {0}, output has "
|
||||
"dimension {1}, but destination ndarray has dimension {2}.",
|
||||
axis, output_shape[axis], ndarray_shape[axis]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Return the number of elements of an ndarray given its shape.
|
||||
*
|
||||
* @param ndims Number of dimensions in `shape`
|
||||
* @param shape The shape of the ndarray
|
||||
*/
|
||||
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;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Compute the array indices of the `nth` (0-based) element of an ndarray given only its shape.
|
||||
*
|
||||
* @param ndims Number of elements in `shape` and `indices`
|
||||
* @param shape The shape of the ndarray
|
||||
* @param indices The returned indices indexing the ndarray with shape `shape`.
|
||||
* @param nth The index of the element of interest.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void set_indices_by_nth(SizeT ndims, const SizeT* shape, SizeT* indices, SizeT nth) {
|
||||
for (SizeT i = 0; i < ndims; i++) {
|
||||
SizeT axis = ndims - i - 1;
|
||||
SizeT dim = shape[axis];
|
||||
|
||||
indices[axis] = nth % dim;
|
||||
nth /= dim;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Return the number of elements of an `ndarray`
|
||||
*
|
||||
* This function corresponds to `<an_ndarray>.size`
|
||||
*/
|
||||
template<typename SizeT>
|
||||
SizeT size(const NDArray<SizeT>* ndarray) {
|
||||
return calc_size_from_shape(ndarray->ndims, ndarray->shape);
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Return of the number of its content of an `ndarray`.
|
||||
*
|
||||
* This function corresponds to `<an_ndarray>.nbytes`.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
SizeT nbytes(const NDArray<SizeT>* ndarray) {
|
||||
return size(ndarray) * ndarray->itemsize;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Get the `len()` of an ndarray, and asserts that `ndarray` is a sized object.
|
||||
*
|
||||
* This function corresponds to `<an_ndarray>.__len__`.
|
||||
*
|
||||
* @param dst_length The length.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
SizeT len(const NDArray<SizeT>* ndarray) {
|
||||
if (ndarray->ndims != 0) {
|
||||
return ndarray->shape[0];
|
||||
}
|
||||
|
||||
// numpy prohibits `__len__` on unsized objects
|
||||
raise_exception(SizeT, EXN_TYPE_ERROR, "len() of unsized object", NO_PARAM, NO_PARAM, NO_PARAM);
|
||||
__builtin_unreachable();
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Return a boolean indicating if `ndarray` is (C-)contiguous.
|
||||
*
|
||||
* You may want to see ndarray's rules for C-contiguity:
|
||||
* https://github.com/numpy/numpy/blob/df256d0d2f3bc6833699529824781c58f9c6e697/numpy/core/src/multiarray/flagsobject.c#L95C1-L99C45
|
||||
*/
|
||||
template<typename SizeT>
|
||||
bool is_c_contiguous(const NDArray<SizeT>* ndarray) {
|
||||
// References:
|
||||
// - tinynumpy's implementation:
|
||||
// https://github.com/wadetb/tinynumpy/blob/0d23d22e07062ffab2afa287374c7b366eebdda1/tinynumpy/tinynumpy.py#L102
|
||||
// - ndarray's flags["C_CONTIGUOUS"]:
|
||||
// https://numpy.org/doc/stable/reference/generated/numpy.ndarray.flags.html#numpy.ndarray.flags
|
||||
// - ndarray's rules for C-contiguity:
|
||||
// https://github.com/numpy/numpy/blob/df256d0d2f3bc6833699529824781c58f9c6e697/numpy/core/src/multiarray/flagsobject.c#L95C1-L99C45
|
||||
|
||||
// From
|
||||
// https://github.com/numpy/numpy/blob/df256d0d2f3bc6833699529824781c58f9c6e697/numpy/core/src/multiarray/flagsobject.c#L95C1-L99C45:
|
||||
//
|
||||
// The traditional rule is that for an array to be flagged as C contiguous,
|
||||
// the following must hold:
|
||||
//
|
||||
// strides[-1] == itemsize
|
||||
// strides[i] == shape[i+1] * strides[i + 1]
|
||||
// [...]
|
||||
// According to these rules, a 0- or 1-dimensional array is either both
|
||||
// C- and F-contiguous, or neither; and an array with 2+ dimensions
|
||||
// can be C- or F- contiguous, or neither, but not both. Though there
|
||||
// there are exceptions for arrays with zero or one item, in the first
|
||||
// case the check is relaxed up to and including the first dimension
|
||||
// with shape[i] == 0. In the second case `strides == itemsize` will
|
||||
// can be true for all dimensions and both flags are set.
|
||||
|
||||
if (ndarray->ndims == 0) {
|
||||
return true;
|
||||
}
|
||||
|
||||
if (ndarray->strides[ndarray->ndims - 1] != ndarray->itemsize) {
|
||||
return false;
|
||||
}
|
||||
|
||||
for (SizeT i = 1; i < ndarray->ndims; i++) {
|
||||
SizeT axis_i = ndarray->ndims - i - 1;
|
||||
if (ndarray->strides[axis_i] != ndarray->shape[axis_i + 1] * ndarray->strides[axis_i + 1]) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Return the pointer to the element indexed by `indices` along the ndarray's axes.
|
||||
*
|
||||
* This function does no bound check.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void* get_pelement_by_indices(const NDArray<SizeT>* ndarray, const SizeT* indices) {
|
||||
void* element = ndarray->data;
|
||||
for (SizeT dim_i = 0; dim_i < ndarray->ndims; dim_i++)
|
||||
element = static_cast<uint8_t*>(element) + indices[dim_i] * ndarray->strides[dim_i];
|
||||
return element;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Return the pointer to the nth (0-based) element of `ndarray` in flattened view.
|
||||
*
|
||||
* This function does no bound check.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void* get_nth_pelement(const NDArray<SizeT>* ndarray, SizeT nth) {
|
||||
void* element = ndarray->data;
|
||||
for (SizeT i = 0; i < ndarray->ndims; i++) {
|
||||
SizeT axis = ndarray->ndims - i - 1;
|
||||
SizeT dim = ndarray->shape[axis];
|
||||
element = static_cast<uint8_t*>(element) + ndarray->strides[axis] * (nth % dim);
|
||||
nth /= dim;
|
||||
}
|
||||
return element;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Update the strides of an ndarray given an ndarray `shape` to be contiguous.
|
||||
*
|
||||
* You might want to read https://ajcr.net/stride-guide-part-1/.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void set_strides_by_shape(NDArray<SizeT>* ndarray) {
|
||||
SizeT stride_product = 1;
|
||||
for (SizeT i = 0; i < ndarray->ndims; i++) {
|
||||
SizeT axis = ndarray->ndims - i - 1;
|
||||
ndarray->strides[axis] = stride_product * ndarray->itemsize;
|
||||
stride_product *= ndarray->shape[axis];
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Set an element in `ndarray`.
|
||||
*
|
||||
* @param pelement Pointer to the element in `ndarray` to be set.
|
||||
* @param pvalue Pointer to the value `pelement` will be set to.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void set_pelement_value(NDArray<SizeT>* ndarray, void* pelement, const void* pvalue) {
|
||||
__builtin_memcpy(pelement, pvalue, ndarray->itemsize);
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Copy data from one ndarray to another of the exact same size and itemsize.
|
||||
*
|
||||
* Both ndarrays will be viewed in their flatten views when copying the elements.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void copy_data(const NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
|
||||
// TODO: Make this faster with memcpy when we see a contiguous segment.
|
||||
// TODO: Handle overlapping.
|
||||
|
||||
debug_assert_eq(SizeT, src_ndarray->itemsize, dst_ndarray->itemsize);
|
||||
|
||||
for (SizeT i = 0; i < size(src_ndarray); 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);
|
||||
}
|
||||
}
|
||||
} // namespace ndarray::basic
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::basic;
|
||||
|
||||
void __nac3_ndarray_util_assert_shape_no_negative(int32_t ndims, int32_t* shape) {
|
||||
assert_shape_no_negative(ndims, shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_util_assert_shape_no_negative64(int64_t ndims, int64_t* shape) {
|
||||
assert_shape_no_negative(ndims, shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_util_assert_output_shape_same(int32_t ndarray_ndims,
|
||||
const int32_t* ndarray_shape,
|
||||
int32_t output_ndims,
|
||||
const int32_t* output_shape) {
|
||||
assert_output_shape_same(ndarray_ndims, ndarray_shape, output_ndims, output_shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_util_assert_output_shape_same64(int64_t ndarray_ndims,
|
||||
const int64_t* ndarray_shape,
|
||||
int64_t output_ndims,
|
||||
const int64_t* output_shape) {
|
||||
assert_output_shape_same(ndarray_ndims, ndarray_shape, output_ndims, output_shape);
|
||||
}
|
||||
|
||||
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);
|
||||
}
|
||||
|
||||
int32_t __nac3_ndarray_len(NDArray<int32_t>* ndarray) {
|
||||
return len(ndarray);
|
||||
}
|
||||
|
||||
int64_t __nac3_ndarray_len64(NDArray<int64_t>* ndarray) {
|
||||
return len(ndarray);
|
||||
}
|
||||
|
||||
bool __nac3_ndarray_is_c_contiguous(NDArray<int32_t>* ndarray) {
|
||||
return is_c_contiguous(ndarray);
|
||||
}
|
||||
|
||||
bool __nac3_ndarray_is_c_contiguous64(NDArray<int64_t>* ndarray) {
|
||||
return is_c_contiguous(ndarray);
|
||||
}
|
||||
|
||||
void* __nac3_ndarray_get_nth_pelement(const NDArray<int32_t>* ndarray, int32_t nth) {
|
||||
return get_nth_pelement(ndarray, nth);
|
||||
}
|
||||
|
||||
void* __nac3_ndarray_get_nth_pelement64(const NDArray<int64_t>* ndarray, int64_t nth) {
|
||||
return get_nth_pelement(ndarray, nth);
|
||||
}
|
||||
|
||||
void* __nac3_ndarray_get_pelement_by_indices(const NDArray<int32_t>* ndarray, int32_t* indices) {
|
||||
return get_pelement_by_indices(ndarray, indices);
|
||||
}
|
||||
|
||||
void* __nac3_ndarray_get_pelement_by_indices64(const NDArray<int64_t>* ndarray, int64_t* indices) {
|
||||
return get_pelement_by_indices(ndarray, indices);
|
||||
}
|
||||
|
||||
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);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_copy_data(NDArray<int32_t>* src_ndarray, NDArray<int32_t>* dst_ndarray) {
|
||||
copy_data(src_ndarray, dst_ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_copy_data64(NDArray<int64_t>* src_ndarray, NDArray<int64_t>* dst_ndarray) {
|
||||
copy_data(src_ndarray, dst_ndarray);
|
||||
}
|
||||
}
|
@ -1,165 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
#include "irrt/slice.hpp"
|
||||
|
||||
namespace {
|
||||
template<typename SizeT>
|
||||
struct ShapeEntry {
|
||||
SizeT ndims;
|
||||
SizeT* shape;
|
||||
};
|
||||
} // namespace
|
||||
|
||||
namespace {
|
||||
namespace ndarray::broadcast {
|
||||
/**
|
||||
* @brief Return true if `src_shape` can broadcast to `dst_shape`.
|
||||
*
|
||||
* See https://numpy.org/doc/stable/user/basics.broadcasting.html
|
||||
*/
|
||||
template<typename SizeT>
|
||||
bool can_broadcast_shape_to(SizeT target_ndims, const SizeT* target_shape, SizeT src_ndims, const SizeT* src_shape) {
|
||||
if (src_ndims > target_ndims) {
|
||||
return false;
|
||||
}
|
||||
|
||||
for (SizeT i = 0; i < src_ndims; i++) {
|
||||
SizeT target_dim = target_shape[target_ndims - i - 1];
|
||||
SizeT src_dim = src_shape[src_ndims - i - 1];
|
||||
if (!(src_dim == 1 || target_dim == src_dim)) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Performs `np.broadcast_shapes(<shapes>)`
|
||||
*
|
||||
* @param num_shapes Number of entries in `shapes`
|
||||
* @param shapes The list of shape to do `np.broadcast_shapes` on.
|
||||
* @param dst_ndims The length of `dst_shape`.
|
||||
* `dst_ndims` must be `max([shape.ndims for shape in shapes])`, but the caller has to calculate it/provide it.
|
||||
* for this function since they should already know in order to allocate `dst_shape` in the first place.
|
||||
* @param dst_shape The resulting shape. Must be pre-allocated by the caller. This function calculate the result
|
||||
* of `np.broadcast_shapes` and write it here.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void broadcast_shapes(SizeT num_shapes, const ShapeEntry<SizeT>* shapes, SizeT dst_ndims, SizeT* dst_shape) {
|
||||
for (SizeT dst_axis = 0; dst_axis < dst_ndims; dst_axis++) {
|
||||
dst_shape[dst_axis] = 1;
|
||||
}
|
||||
|
||||
#ifdef IRRT_DEBUG_ASSERT
|
||||
SizeT max_ndims_found = 0;
|
||||
#endif
|
||||
|
||||
for (SizeT i = 0; i < num_shapes; i++) {
|
||||
ShapeEntry<SizeT> entry = shapes[i];
|
||||
|
||||
// Check pre-condition: `dst_ndims` must be `max([shape.ndims for shape in shapes])`
|
||||
debug_assert(SizeT, entry.ndims <= dst_ndims);
|
||||
|
||||
#ifdef IRRT_DEBUG_ASSERT
|
||||
max_ndims_found = max(max_ndims_found, entry.ndims);
|
||||
#endif
|
||||
|
||||
for (SizeT j = 0; j < entry.ndims; j++) {
|
||||
SizeT entry_axis = entry.ndims - j - 1;
|
||||
SizeT dst_axis = dst_ndims - j - 1;
|
||||
|
||||
SizeT entry_dim = entry.shape[entry_axis];
|
||||
SizeT dst_dim = dst_shape[dst_axis];
|
||||
|
||||
if (dst_dim == 1) {
|
||||
dst_shape[dst_axis] = entry_dim;
|
||||
} else if (entry_dim == 1 || entry_dim == dst_dim) {
|
||||
// Do nothing
|
||||
} else {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR,
|
||||
"shape mismatch: objects cannot be broadcast "
|
||||
"to a single shape.",
|
||||
NO_PARAM, NO_PARAM, NO_PARAM);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#ifdef IRRT_DEBUG_ASSERT
|
||||
// Check pre-condition: `dst_ndims` must be `max([shape.ndims for shape in shapes])`
|
||||
debug_assert_eq(SizeT, max_ndims_found, dst_ndims);
|
||||
#endif
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Perform `np.broadcast_to(<ndarray>, <target_shape>)` and appropriate assertions.
|
||||
*
|
||||
* This function attempts to broadcast `src_ndarray` to a new shape defined by `dst_ndarray.shape`,
|
||||
* and return the result by modifying `dst_ndarray`.
|
||||
*
|
||||
* # Notes on `dst_ndarray`
|
||||
* The caller is responsible for allocating space for the resulting ndarray.
|
||||
* Here is what this function expects from `dst_ndarray` when called:
|
||||
* - `dst_ndarray->data` does not have to be initialized.
|
||||
* - `dst_ndarray->itemsize` does not have to be initialized.
|
||||
* - `dst_ndarray->ndims` must be initialized, determining the length of `dst_ndarray->shape`
|
||||
* - `dst_ndarray->shape` must be allocated, and must contain the desired target broadcast shape.
|
||||
* - `dst_ndarray->strides` must be allocated, through it can contain uninitialized values.
|
||||
* When this function call ends:
|
||||
* - `dst_ndarray->data` is set to `src_ndarray->data` (`dst_ndarray` is just a view to `src_ndarray`)
|
||||
* - `dst_ndarray->itemsize` is set to `src_ndarray->itemsize`
|
||||
* - `dst_ndarray->ndims` is unchanged.
|
||||
* - `dst_ndarray->shape` is unchanged.
|
||||
* - `dst_ndarray->strides` is updated accordingly by how ndarray broadcast_to works.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void broadcast_to(const NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
|
||||
if (!ndarray::broadcast::can_broadcast_shape_to(dst_ndarray->ndims, dst_ndarray->shape, src_ndarray->ndims,
|
||||
src_ndarray->shape)) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "operands could not be broadcast together", NO_PARAM, NO_PARAM,
|
||||
NO_PARAM);
|
||||
}
|
||||
|
||||
dst_ndarray->data = src_ndarray->data;
|
||||
dst_ndarray->itemsize = src_ndarray->itemsize;
|
||||
|
||||
for (SizeT i = 0; i < dst_ndarray->ndims; i++) {
|
||||
SizeT src_axis = src_ndarray->ndims - i - 1;
|
||||
SizeT dst_axis = dst_ndarray->ndims - i - 1;
|
||||
if (src_axis < 0 || (src_ndarray->shape[src_axis] == 1 && dst_ndarray->shape[dst_axis] != 1)) {
|
||||
// Freeze the steps in-place
|
||||
dst_ndarray->strides[dst_axis] = 0;
|
||||
} else {
|
||||
dst_ndarray->strides[dst_axis] = src_ndarray->strides[src_axis];
|
||||
}
|
||||
}
|
||||
}
|
||||
} // namespace ndarray::broadcast
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::broadcast;
|
||||
|
||||
void __nac3_ndarray_broadcast_to(NDArray<int32_t>* src_ndarray, NDArray<int32_t>* dst_ndarray) {
|
||||
broadcast_to(src_ndarray, dst_ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_broadcast_to64(NDArray<int64_t>* src_ndarray, NDArray<int64_t>* dst_ndarray) {
|
||||
broadcast_to(src_ndarray, dst_ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_broadcast_shapes(int32_t num_shapes,
|
||||
const ShapeEntry<int32_t>* shapes,
|
||||
int32_t dst_ndims,
|
||||
int32_t* dst_shape) {
|
||||
broadcast_shapes(num_shapes, shapes, dst_ndims, dst_shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_broadcast_shapes64(int64_t num_shapes,
|
||||
const ShapeEntry<int64_t>* shapes,
|
||||
int64_t dst_ndims,
|
||||
int64_t* dst_shape) {
|
||||
broadcast_shapes(num_shapes, shapes, dst_ndims, dst_shape);
|
||||
}
|
||||
}
|
@ -1,51 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
|
||||
namespace {
|
||||
/**
|
||||
* @brief The NDArray object
|
||||
*
|
||||
* Official numpy implementation:
|
||||
* https://github.com/numpy/numpy/blob/735a477f0bc2b5b84d0e72d92f224bde78d4e069/doc/source/reference/c-api/types-and-structures.rst#pyarrayinterface
|
||||
*
|
||||
* Note that this implementation is based on `PyArrayInterface` rather of `PyArrayObject`. The
|
||||
* difference between `PyArrayInterface` and `PyArrayObject` (relevant to our implementation) is
|
||||
* that `PyArrayInterface` *has* `itemsize` and uses `void*` for its `data`, whereas `PyArrayObject`
|
||||
* does not require `itemsize` (probably using `strides[-1]` instead) and uses `char*` for its
|
||||
* `data`. There are also minor differences in the struct layout.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
struct NDArray {
|
||||
/**
|
||||
* @brief The number of bytes of a single element in `data`.
|
||||
*/
|
||||
SizeT itemsize;
|
||||
|
||||
/**
|
||||
* @brief The number of dimensions of this shape.
|
||||
*/
|
||||
SizeT ndims;
|
||||
|
||||
/**
|
||||
* @brief The NDArray shape, with length equal to `ndims`.
|
||||
*
|
||||
* Note that it may contain 0.
|
||||
*/
|
||||
SizeT* shape;
|
||||
|
||||
/**
|
||||
* @brief Array strides, with length equal to `ndims`
|
||||
*
|
||||
* The stride values are in units of bytes, not number of elements.
|
||||
*
|
||||
* Note that `strides` can have negative values or contain 0.
|
||||
*/
|
||||
SizeT* strides;
|
||||
|
||||
/**
|
||||
* @brief The underlying data this `ndarray` is pointing to.
|
||||
*/
|
||||
void* data;
|
||||
};
|
||||
} // namespace
|
@ -1,219 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/ndarray/basic.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
#include "irrt/range.hpp"
|
||||
#include "irrt/slice.hpp"
|
||||
|
||||
namespace {
|
||||
typedef uint8_t NDIndexType;
|
||||
|
||||
/**
|
||||
* @brief A single element index
|
||||
*
|
||||
* `data` points to a `int32_t`.
|
||||
*/
|
||||
const NDIndexType ND_INDEX_TYPE_SINGLE_ELEMENT = 0;
|
||||
|
||||
/**
|
||||
* @brief A slice index
|
||||
*
|
||||
* `data` points to a `Slice<int32_t>`.
|
||||
*/
|
||||
const NDIndexType ND_INDEX_TYPE_SLICE = 1;
|
||||
|
||||
/**
|
||||
* @brief `np.newaxis` / `None`
|
||||
*
|
||||
* `data` is unused.
|
||||
*/
|
||||
const NDIndexType ND_INDEX_TYPE_NEWAXIS = 2;
|
||||
|
||||
/**
|
||||
* @brief `Ellipsis` / `...`
|
||||
*
|
||||
* `data` is unused.
|
||||
*/
|
||||
const NDIndexType ND_INDEX_TYPE_ELLIPSIS = 3;
|
||||
|
||||
/**
|
||||
* @brief An index used in ndarray indexing
|
||||
*
|
||||
* That is:
|
||||
* ```
|
||||
* my_ndarray[::-1, 3, ..., np.newaxis]
|
||||
* ^^^^ ^ ^^^ ^^^^^^^^^^ each of these is represented by an NDIndex.
|
||||
* ```
|
||||
*/
|
||||
struct NDIndex {
|
||||
/**
|
||||
* @brief Enum tag to specify the type of index.
|
||||
*
|
||||
* Please see the comment of each enum constant.
|
||||
*/
|
||||
NDIndexType type;
|
||||
|
||||
/**
|
||||
* @brief The accompanying data associated with `type`.
|
||||
*
|
||||
* Please see the comment of each enum constant.
|
||||
*/
|
||||
uint8_t* data;
|
||||
};
|
||||
} // namespace
|
||||
|
||||
namespace {
|
||||
namespace ndarray::indexing {
|
||||
/**
|
||||
* @brief Perform ndarray "basic indexing" (https://numpy.org/doc/stable/user/basics.indexing.html#basic-indexing)
|
||||
*
|
||||
* This function is very similar to performing `dst_ndarray = src_ndarray[indices]` in Python.
|
||||
*
|
||||
* This function also does proper assertions on `indices` to check for out of bounds access and more.
|
||||
*
|
||||
* # Notes on `dst_ndarray`
|
||||
* The caller is responsible for allocating space for the resulting ndarray.
|
||||
* Here is what this function expects from `dst_ndarray` when called:
|
||||
* - `dst_ndarray->data` does not have to be initialized.
|
||||
* - `dst_ndarray->itemsize` does not have to be initialized.
|
||||
* - `dst_ndarray->ndims` must be initialized, and it must be equal to the expected `ndims` of the `dst_ndarray` after
|
||||
* indexing `src_ndarray` with `indices`.
|
||||
* - `dst_ndarray->shape` must be allocated, through it can contain uninitialized values.
|
||||
* - `dst_ndarray->strides` must be allocated, through it can contain uninitialized values.
|
||||
* When this function call ends:
|
||||
* - `dst_ndarray->data` is set to `src_ndarray->data`.
|
||||
* - `dst_ndarray->itemsize` is set to `src_ndarray->itemsize`.
|
||||
* - `dst_ndarray->ndims` is unchanged.
|
||||
* - `dst_ndarray->shape` is updated according to how `src_ndarray` is indexed.
|
||||
* - `dst_ndarray->strides` is updated accordingly by how ndarray indexing works.
|
||||
*
|
||||
* @param indices indices to index `src_ndarray`, ordered in the same way you would write them in Python.
|
||||
* @param src_ndarray The NDArray to be indexed.
|
||||
* @param dst_ndarray The resulting NDArray after indexing. Further details in the comments above,
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void index(SizeT num_indices, const NDIndex* indices, const NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray) {
|
||||
// Validate `indices`.
|
||||
|
||||
// Expected value of `dst_ndarray->ndims`.
|
||||
SizeT expected_dst_ndims = src_ndarray->ndims;
|
||||
// To check for "too many indices for array: array is ?-dimensional, but ? were indexed"
|
||||
SizeT num_indexed = 0;
|
||||
// There may be ellipsis `...` in `indices`. There can only be 0 or 1 ellipsis.
|
||||
SizeT num_ellipsis = 0;
|
||||
|
||||
for (SizeT i = 0; i < num_indices; i++) {
|
||||
if (indices[i].type == ND_INDEX_TYPE_SINGLE_ELEMENT) {
|
||||
expected_dst_ndims--;
|
||||
num_indexed++;
|
||||
} else if (indices[i].type == ND_INDEX_TYPE_SLICE) {
|
||||
num_indexed++;
|
||||
} else if (indices[i].type == ND_INDEX_TYPE_NEWAXIS) {
|
||||
expected_dst_ndims++;
|
||||
} else if (indices[i].type == ND_INDEX_TYPE_ELLIPSIS) {
|
||||
num_ellipsis++;
|
||||
if (num_ellipsis > 1) {
|
||||
raise_exception(SizeT, EXN_INDEX_ERROR, "an index can only have a single ellipsis ('...')", NO_PARAM,
|
||||
NO_PARAM, NO_PARAM);
|
||||
}
|
||||
} else {
|
||||
__builtin_unreachable();
|
||||
}
|
||||
}
|
||||
|
||||
debug_assert_eq(SizeT, expected_dst_ndims, dst_ndarray->ndims);
|
||||
|
||||
if (src_ndarray->ndims - num_indexed < 0) {
|
||||
raise_exception(SizeT, EXN_INDEX_ERROR,
|
||||
"too many indices for array: array is {0}-dimensional, "
|
||||
"but {1} were indexed",
|
||||
src_ndarray->ndims, num_indices, NO_PARAM);
|
||||
}
|
||||
|
||||
dst_ndarray->data = src_ndarray->data;
|
||||
dst_ndarray->itemsize = src_ndarray->itemsize;
|
||||
|
||||
// Reference code:
|
||||
// https://github.com/wadetb/tinynumpy/blob/0d23d22e07062ffab2afa287374c7b366eebdda1/tinynumpy/tinynumpy.py#L652
|
||||
SizeT src_axis = 0;
|
||||
SizeT dst_axis = 0;
|
||||
|
||||
for (int32_t i = 0; i < num_indices; i++) {
|
||||
const NDIndex* index = &indices[i];
|
||||
if (index->type == ND_INDEX_TYPE_SINGLE_ELEMENT) {
|
||||
SizeT input = (SizeT) * ((int32_t*)index->data);
|
||||
|
||||
SizeT k = slice::resolve_index_in_length(src_ndarray->shape[src_axis], input);
|
||||
if (k == -1) {
|
||||
raise_exception(SizeT, EXN_INDEX_ERROR,
|
||||
"index {0} is out of bounds for axis {1} "
|
||||
"with size {2}",
|
||||
input, src_axis, src_ndarray->shape[src_axis]);
|
||||
}
|
||||
|
||||
dst_ndarray->data = static_cast<uint8_t*>(dst_ndarray->data) + k * src_ndarray->strides[src_axis];
|
||||
|
||||
src_axis++;
|
||||
} else if (index->type == ND_INDEX_TYPE_SLICE) {
|
||||
Slice<int32_t>* slice = (Slice<int32_t>*)index->data;
|
||||
|
||||
Range<int32_t> range = slice->indices_checked<SizeT>(src_ndarray->shape[src_axis]);
|
||||
|
||||
dst_ndarray->data =
|
||||
static_cast<uint8_t*>(dst_ndarray->data) + (SizeT)range.start * src_ndarray->strides[src_axis];
|
||||
dst_ndarray->strides[dst_axis] = ((SizeT)range.step) * src_ndarray->strides[src_axis];
|
||||
dst_ndarray->shape[dst_axis] = (SizeT)range.len<SizeT>();
|
||||
|
||||
dst_axis++;
|
||||
src_axis++;
|
||||
} else if (index->type == ND_INDEX_TYPE_NEWAXIS) {
|
||||
dst_ndarray->strides[dst_axis] = 0;
|
||||
dst_ndarray->shape[dst_axis] = 1;
|
||||
|
||||
dst_axis++;
|
||||
} else if (index->type == ND_INDEX_TYPE_ELLIPSIS) {
|
||||
// The number of ':' entries this '...' implies.
|
||||
SizeT ellipsis_size = src_ndarray->ndims - num_indexed;
|
||||
|
||||
for (SizeT j = 0; j < ellipsis_size; j++) {
|
||||
dst_ndarray->strides[dst_axis] = src_ndarray->strides[src_axis];
|
||||
dst_ndarray->shape[dst_axis] = src_ndarray->shape[src_axis];
|
||||
|
||||
dst_axis++;
|
||||
src_axis++;
|
||||
}
|
||||
} else {
|
||||
__builtin_unreachable();
|
||||
}
|
||||
}
|
||||
|
||||
for (; dst_axis < dst_ndarray->ndims; dst_axis++, src_axis++) {
|
||||
dst_ndarray->shape[dst_axis] = src_ndarray->shape[src_axis];
|
||||
dst_ndarray->strides[dst_axis] = src_ndarray->strides[src_axis];
|
||||
}
|
||||
|
||||
debug_assert_eq(SizeT, src_ndarray->ndims, src_axis);
|
||||
debug_assert_eq(SizeT, dst_ndarray->ndims, dst_axis);
|
||||
}
|
||||
} // namespace ndarray::indexing
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::indexing;
|
||||
|
||||
void __nac3_ndarray_index(int32_t num_indices,
|
||||
NDIndex* indices,
|
||||
NDArray<int32_t>* src_ndarray,
|
||||
NDArray<int32_t>* dst_ndarray) {
|
||||
index(num_indices, indices, src_ndarray, dst_ndarray);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_index64(int64_t num_indices,
|
||||
NDIndex* indices,
|
||||
NDArray<int64_t>* src_ndarray,
|
||||
NDArray<int64_t>* dst_ndarray) {
|
||||
index(num_indices, indices, src_ndarray, dst_ndarray);
|
||||
}
|
||||
}
|
@ -1,146 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
|
||||
namespace {
|
||||
/**
|
||||
* @brief Helper struct to enumerate through an ndarray *efficiently*.
|
||||
*
|
||||
* Example usage (in pseudo-code):
|
||||
* ```
|
||||
* // Suppose my_ndarray has been initialized, with shape [2, 3] and dtype `double`
|
||||
* NDIter nditer;
|
||||
* nditer.initialize(my_ndarray);
|
||||
* while (nditer.has_element()) {
|
||||
* // This body is run 6 (= my_ndarray.size) times.
|
||||
*
|
||||
* // [0, 0] -> [0, 1] -> [0, 2] -> [1, 0] -> [1, 1] -> [1, 2] -> end
|
||||
* print(nditer.indices);
|
||||
*
|
||||
* // 0 -> 1 -> 2 -> 3 -> 4 -> 5
|
||||
* print(nditer.nth);
|
||||
*
|
||||
* // <1st element> -> <2nd element> -> ... -> <6th element> -> end
|
||||
* print(*((double *) nditer.element))
|
||||
*
|
||||
* nditer.next(); // Go to next element.
|
||||
* }
|
||||
* ```
|
||||
*
|
||||
* Interesting cases:
|
||||
* - If `my_ndarray.ndims` == 0, there is one iteration.
|
||||
* - If `my_ndarray.shape` contains zeroes, there are no iterations.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
struct NDIter {
|
||||
// Information about the ndarray being iterated over.
|
||||
SizeT ndims;
|
||||
SizeT* shape;
|
||||
SizeT* strides;
|
||||
|
||||
/**
|
||||
* @brief The current indices.
|
||||
*
|
||||
* Must be allocated by the caller.
|
||||
*/
|
||||
SizeT* indices;
|
||||
|
||||
/**
|
||||
* @brief The nth (0-based) index of the current indices.
|
||||
*
|
||||
* Initially this is 0.
|
||||
*/
|
||||
SizeT nth;
|
||||
|
||||
/**
|
||||
* @brief Pointer to the current element.
|
||||
*
|
||||
* Initially this points to first element of the ndarray.
|
||||
*/
|
||||
void* element;
|
||||
|
||||
/**
|
||||
* @brief Cache for the product of shape.
|
||||
*
|
||||
* Could be 0 if `shape` has 0s in it.
|
||||
*/
|
||||
SizeT size;
|
||||
|
||||
void initialize(SizeT ndims, SizeT* shape, SizeT* strides, void* element, SizeT* indices) {
|
||||
this->ndims = ndims;
|
||||
this->shape = shape;
|
||||
this->strides = strides;
|
||||
|
||||
this->indices = indices;
|
||||
this->element = element;
|
||||
|
||||
// Compute size
|
||||
this->size = 1;
|
||||
for (SizeT i = 0; i < ndims; i++) {
|
||||
this->size *= shape[i];
|
||||
}
|
||||
|
||||
// `indices` starts on all 0s.
|
||||
for (SizeT axis = 0; axis < ndims; axis++)
|
||||
indices[axis] = 0;
|
||||
nth = 0;
|
||||
}
|
||||
|
||||
void initialize_by_ndarray(NDArray<SizeT>* ndarray, SizeT* indices) {
|
||||
// NOTE: ndarray->data is pointing to the first element, and `NDIter`'s `element` should also point to the first
|
||||
// element as well.
|
||||
this->initialize(ndarray->ndims, ndarray->shape, ndarray->strides, ndarray->data, indices);
|
||||
}
|
||||
|
||||
// Is the current iteration valid?
|
||||
// If true, then `element`, `indices` and `nth` contain details about the current element.
|
||||
bool has_element() { return nth < size; }
|
||||
|
||||
// Go to the next element.
|
||||
void next() {
|
||||
for (SizeT i = 0; i < ndims; i++) {
|
||||
SizeT axis = ndims - i - 1;
|
||||
indices[axis]++;
|
||||
if (indices[axis] >= shape[axis]) {
|
||||
indices[axis] = 0;
|
||||
|
||||
// TODO: There is something called backstrides to speedup iteration.
|
||||
// See https://ajcr.net/stride-guide-part-1/, and
|
||||
// https://docs.scipy.org/doc/numpy-1.13.0/reference/c-api.types-and-structures.html#c.PyArrayIterObject.PyArrayIterObject.backstrides.
|
||||
element = static_cast<void*>(reinterpret_cast<uint8_t*>(element) - strides[axis] * (shape[axis] - 1));
|
||||
} else {
|
||||
element = static_cast<void*>(reinterpret_cast<uint8_t*>(element) + strides[axis]);
|
||||
break;
|
||||
}
|
||||
}
|
||||
nth++;
|
||||
}
|
||||
};
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
void __nac3_nditer_initialize(NDIter<int32_t>* iter, NDArray<int32_t>* ndarray, int32_t* indices) {
|
||||
iter->initialize_by_ndarray(ndarray, indices);
|
||||
}
|
||||
|
||||
void __nac3_nditer_initialize64(NDIter<int64_t>* iter, NDArray<int64_t>* ndarray, int64_t* indices) {
|
||||
iter->initialize_by_ndarray(ndarray, indices);
|
||||
}
|
||||
|
||||
bool __nac3_nditer_has_element(NDIter<int32_t>* iter) {
|
||||
return iter->has_element();
|
||||
}
|
||||
|
||||
bool __nac3_nditer_has_element64(NDIter<int64_t>* iter) {
|
||||
return iter->has_element();
|
||||
}
|
||||
|
||||
void __nac3_nditer_next(NDIter<int32_t>* iter) {
|
||||
iter->next();
|
||||
}
|
||||
|
||||
void __nac3_nditer_next64(NDIter<int64_t>* iter) {
|
||||
iter->next();
|
||||
}
|
||||
}
|
@ -1,98 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/debug.hpp"
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/ndarray/basic.hpp"
|
||||
#include "irrt/ndarray/broadcast.hpp"
|
||||
#include "irrt/ndarray/iter.hpp"
|
||||
|
||||
// NOTE: Everything would be much easier and elegant if einsum is implemented.
|
||||
|
||||
namespace {
|
||||
namespace ndarray::matmul {
|
||||
|
||||
/**
|
||||
* @brief Perform the broadcast in `np.einsum("...ij,...jk->...ik", a, b)`.
|
||||
*
|
||||
* Example:
|
||||
* Suppose `a_shape == [1, 97, 4, 2]`
|
||||
* and `b_shape == [99, 98, 1, 2, 5]`,
|
||||
*
|
||||
* ...then `new_a_shape == [99, 98, 97, 4, 2]`,
|
||||
* `new_b_shape == [99, 98, 97, 2, 5]`,
|
||||
* and `dst_shape == [99, 98, 97, 4, 5]`.
|
||||
* ^^^^^^^^^^ ^^^^
|
||||
* (broadcasted) (4x2 @ 2x5 => 4x5)
|
||||
*
|
||||
* @param a_ndims Length of `a_shape`.
|
||||
* @param a_shape Shape of `a`.
|
||||
* @param b_ndims Length of `b_shape`.
|
||||
* @param b_shape Shape of `b`.
|
||||
* @param final_ndims Should be equal to `max(a_ndims, b_ndims)`. This is the length of `new_a_shape`,
|
||||
* `new_b_shape`, and `dst_shape` - the number of dimensions after broadcasting.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void calculate_shapes(SizeT a_ndims,
|
||||
SizeT* a_shape,
|
||||
SizeT b_ndims,
|
||||
SizeT* b_shape,
|
||||
SizeT final_ndims,
|
||||
SizeT* new_a_shape,
|
||||
SizeT* new_b_shape,
|
||||
SizeT* dst_shape) {
|
||||
debug_assert(SizeT, a_ndims >= 2);
|
||||
debug_assert(SizeT, b_ndims >= 2);
|
||||
debug_assert_eq(SizeT, max(a_ndims, b_ndims), final_ndims);
|
||||
|
||||
// Check that a and b are compatible for matmul
|
||||
if (a_shape[a_ndims - 1] != b_shape[b_ndims - 2]) {
|
||||
// This is a custom error message. Different from NumPy.
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "Cannot multiply LHS (shape ?x{0}) with RHS (shape {1}x?})",
|
||||
a_shape[a_ndims - 1], b_shape[b_ndims - 2], NO_PARAM);
|
||||
}
|
||||
|
||||
const SizeT num_entries = 2;
|
||||
ShapeEntry<SizeT> entries[num_entries] = {{.ndims = a_ndims - 2, .shape = a_shape},
|
||||
{.ndims = b_ndims - 2, .shape = b_shape}};
|
||||
|
||||
// TODO: Optimize this
|
||||
ndarray::broadcast::broadcast_shapes<SizeT>(num_entries, entries, final_ndims - 2, new_a_shape);
|
||||
ndarray::broadcast::broadcast_shapes<SizeT>(num_entries, entries, final_ndims - 2, new_b_shape);
|
||||
ndarray::broadcast::broadcast_shapes<SizeT>(num_entries, entries, final_ndims - 2, dst_shape);
|
||||
|
||||
new_a_shape[final_ndims - 2] = a_shape[a_ndims - 2];
|
||||
new_a_shape[final_ndims - 1] = a_shape[a_ndims - 1];
|
||||
new_b_shape[final_ndims - 2] = b_shape[b_ndims - 2];
|
||||
new_b_shape[final_ndims - 1] = b_shape[b_ndims - 1];
|
||||
dst_shape[final_ndims - 2] = a_shape[a_ndims - 2];
|
||||
dst_shape[final_ndims - 1] = b_shape[b_ndims - 1];
|
||||
}
|
||||
} // namespace ndarray::matmul
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::matmul;
|
||||
|
||||
void __nac3_ndarray_matmul_calculate_shapes(int32_t a_ndims,
|
||||
int32_t* a_shape,
|
||||
int32_t b_ndims,
|
||||
int32_t* b_shape,
|
||||
int32_t final_ndims,
|
||||
int32_t* new_a_shape,
|
||||
int32_t* new_b_shape,
|
||||
int32_t* dst_shape) {
|
||||
calculate_shapes(a_ndims, a_shape, b_ndims, b_shape, final_ndims, new_a_shape, new_b_shape, dst_shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_matmul_calculate_shapes64(int64_t a_ndims,
|
||||
int64_t* a_shape,
|
||||
int64_t b_ndims,
|
||||
int64_t* b_shape,
|
||||
int64_t final_ndims,
|
||||
int64_t* new_a_shape,
|
||||
int64_t* new_b_shape,
|
||||
int64_t* dst_shape) {
|
||||
calculate_shapes(a_ndims, a_shape, b_ndims, b_shape, final_ndims, new_a_shape, new_b_shape, dst_shape);
|
||||
}
|
||||
}
|
@ -1,97 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
|
||||
namespace {
|
||||
namespace ndarray::reshape {
|
||||
/**
|
||||
* @brief Perform assertions on and resolve unknown dimensions in `new_shape` in `np.reshape(<ndarray>, new_shape)`
|
||||
*
|
||||
* If `new_shape` indeed contains unknown dimensions (specified with `-1`, just like numpy), `new_shape` will be
|
||||
* modified to contain the resolved dimension.
|
||||
*
|
||||
* To perform assertions on and resolve unknown dimensions in `new_shape`, we don't need the actual
|
||||
* `<ndarray>` object itself, but only the `.size` of the `<ndarray>`.
|
||||
*
|
||||
* @param size The `.size` of `<ndarray>`
|
||||
* @param new_ndims Number of elements in `new_shape`
|
||||
* @param new_shape Target shape to reshape to
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void resolve_and_check_new_shape(SizeT size, SizeT new_ndims, SizeT* new_shape) {
|
||||
// Is there a -1 in `new_shape`?
|
||||
bool neg1_exists = false;
|
||||
// Location of -1, only initialized if `neg1_exists` is true
|
||||
SizeT neg1_axis_i;
|
||||
// The computed ndarray size of `new_shape`
|
||||
SizeT new_size = 1;
|
||||
|
||||
for (SizeT axis_i = 0; axis_i < new_ndims; axis_i++) {
|
||||
SizeT dim = new_shape[axis_i];
|
||||
if (dim < 0) {
|
||||
if (dim == -1) {
|
||||
if (neg1_exists) {
|
||||
// Multiple `-1` found. Throw an error.
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "can only specify one unknown dimension", NO_PARAM,
|
||||
NO_PARAM, NO_PARAM);
|
||||
} else {
|
||||
neg1_exists = true;
|
||||
neg1_axis_i = axis_i;
|
||||
}
|
||||
} else {
|
||||
// TODO: What? In `np.reshape` any negative dimensions is
|
||||
// treated like its `-1`.
|
||||
//
|
||||
// Try running `np.zeros((3, 4)).reshape((-999, 2))`
|
||||
//
|
||||
// It is not documented by numpy.
|
||||
// Throw an error for now...
|
||||
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "Found non -1 negative dimension {0} on axis {1}", dim, axis_i,
|
||||
NO_PARAM);
|
||||
}
|
||||
} else {
|
||||
new_size *= dim;
|
||||
}
|
||||
}
|
||||
|
||||
bool can_reshape;
|
||||
if (neg1_exists) {
|
||||
// Let `x` be the unknown dimension
|
||||
// Solve `x * <new_size> = <size>`
|
||||
if (new_size == 0 && size == 0) {
|
||||
// `x` has infinitely many solutions
|
||||
can_reshape = false;
|
||||
} else if (new_size == 0 && size != 0) {
|
||||
// `x` has no solutions
|
||||
can_reshape = false;
|
||||
} else if (size % new_size != 0) {
|
||||
// `x` has no integer solutions
|
||||
can_reshape = false;
|
||||
} else {
|
||||
can_reshape = true;
|
||||
new_shape[neg1_axis_i] = size / new_size; // Resolve dimension
|
||||
}
|
||||
} else {
|
||||
can_reshape = (new_size == size);
|
||||
}
|
||||
|
||||
if (!can_reshape) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "cannot reshape array of size {0} into given shape", size, NO_PARAM,
|
||||
NO_PARAM);
|
||||
}
|
||||
}
|
||||
} // namespace ndarray::reshape
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
void __nac3_ndarray_reshape_resolve_and_check_new_shape(int32_t size, int32_t new_ndims, int32_t* new_shape) {
|
||||
ndarray::reshape::resolve_and_check_new_shape(size, new_ndims, new_shape);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_reshape_resolve_and_check_new_shape64(int64_t size, int64_t new_ndims, int64_t* new_shape) {
|
||||
ndarray::reshape::resolve_and_check_new_shape(size, new_ndims, new_shape);
|
||||
}
|
||||
}
|
@ -1,143 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/debug.hpp"
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/ndarray/def.hpp"
|
||||
#include "irrt/slice.hpp"
|
||||
|
||||
/*
|
||||
* Notes on `np.transpose(<array>, <axes>)`
|
||||
*
|
||||
* TODO: `axes`, if specified, can actually contain negative indices,
|
||||
* but it is not documented in numpy.
|
||||
*
|
||||
* Supporting it for now.
|
||||
*/
|
||||
|
||||
namespace {
|
||||
namespace ndarray::transpose {
|
||||
/**
|
||||
* @brief Do assertions on `<axes>` in `np.transpose(<array>, <axes>)`.
|
||||
*
|
||||
* Note that `np.transpose`'s `<axe>` argument is optional. If the argument
|
||||
* is specified but the user, use this function to do assertions on it.
|
||||
*
|
||||
* @param ndims The number of dimensions of `<array>`
|
||||
* @param num_axes Number of elements in `<axes>` as specified by the user.
|
||||
* This should be equal to `ndims`. If not, a "ValueError: axes don't match array" is thrown.
|
||||
* @param axes The user specified `<axes>`.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void assert_transpose_axes(SizeT ndims, SizeT num_axes, const SizeT* axes) {
|
||||
if (ndims != num_axes) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "axes don't match array", NO_PARAM, NO_PARAM, NO_PARAM);
|
||||
}
|
||||
|
||||
// TODO: Optimize this
|
||||
bool* axe_specified = (bool*)__builtin_alloca(sizeof(bool) * ndims);
|
||||
for (SizeT i = 0; i < ndims; i++)
|
||||
axe_specified[i] = false;
|
||||
|
||||
for (SizeT i = 0; i < ndims; i++) {
|
||||
SizeT axis = slice::resolve_index_in_length(ndims, axes[i]);
|
||||
if (axis == -1) {
|
||||
// TODO: numpy actually throws a `numpy.exceptions.AxisError`
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "axis {0} is out of bounds for array of dimension {1}", axis, ndims,
|
||||
NO_PARAM);
|
||||
}
|
||||
|
||||
if (axe_specified[axis]) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "repeated axis in transpose", NO_PARAM, NO_PARAM, NO_PARAM);
|
||||
}
|
||||
|
||||
axe_specified[axis] = true;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Create a transpose view of `src_ndarray` and perform proper assertions.
|
||||
*
|
||||
* This function is very similar to doing `dst_ndarray = np.transpose(src_ndarray, <axes>)`.
|
||||
* If `<axes>` is supposed to be `None`, caller can pass in a `nullptr` to `<axes>`.
|
||||
*
|
||||
* The transpose view created is returned by modifying `dst_ndarray`.
|
||||
*
|
||||
* The caller is responsible for setting up `dst_ndarray` before calling this function.
|
||||
* Here is what this function expects from `dst_ndarray` when called:
|
||||
* - `dst_ndarray->data` does not have to be initialized.
|
||||
* - `dst_ndarray->itemsize` does not have to be initialized.
|
||||
* - `dst_ndarray->ndims` must be initialized, must be equal to `src_ndarray->ndims`.
|
||||
* - `dst_ndarray->shape` must be allocated, through it can contain uninitialized values.
|
||||
* - `dst_ndarray->strides` must be allocated, through it can contain uninitialized values.
|
||||
* When this function call ends:
|
||||
* - `dst_ndarray->data` is set to `src_ndarray->data` (`dst_ndarray` is just a view to `src_ndarray`)
|
||||
* - `dst_ndarray->itemsize` is set to `src_ndarray->itemsize`
|
||||
* - `dst_ndarray->ndims` is unchanged
|
||||
* - `dst_ndarray->shape` is updated according to how `np.transpose` works
|
||||
* - `dst_ndarray->strides` is updated according to how `np.transpose` works
|
||||
*
|
||||
* @param src_ndarray The NDArray to build a transpose view on
|
||||
* @param dst_ndarray The resulting NDArray after transpose. Further details in the comments above,
|
||||
* @param num_axes Number of elements in axes. Unused if `axes` is nullptr.
|
||||
* @param axes Axes permutation. Set it to `nullptr` if `<axes>` is `None`.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
void transpose(const NDArray<SizeT>* src_ndarray, NDArray<SizeT>* dst_ndarray, SizeT num_axes, const SizeT* axes) {
|
||||
debug_assert_eq(SizeT, src_ndarray->ndims, dst_ndarray->ndims);
|
||||
const auto ndims = src_ndarray->ndims;
|
||||
|
||||
if (axes != nullptr)
|
||||
assert_transpose_axes(ndims, num_axes, axes);
|
||||
|
||||
dst_ndarray->data = src_ndarray->data;
|
||||
dst_ndarray->itemsize = src_ndarray->itemsize;
|
||||
|
||||
// Check out https://ajcr.net/stride-guide-part-2/ to see how `np.transpose` works behind the scenes.
|
||||
if (axes == nullptr) {
|
||||
// `np.transpose(<array>, axes=None)`
|
||||
|
||||
/*
|
||||
* Minor note: `np.transpose(<array>, axes=None)` is equivalent to
|
||||
* `np.transpose(<array>, axes=[N-1, N-2, ..., 0])` - basically it
|
||||
* is reversing the order of strides and shape.
|
||||
*
|
||||
* This is a fast implementation to handle this special (but very common) case.
|
||||
*/
|
||||
|
||||
for (SizeT axis = 0; axis < ndims; axis++) {
|
||||
dst_ndarray->shape[axis] = src_ndarray->shape[ndims - axis - 1];
|
||||
dst_ndarray->strides[axis] = src_ndarray->strides[ndims - axis - 1];
|
||||
}
|
||||
} else {
|
||||
// `np.transpose(<array>, <axes>)`
|
||||
|
||||
// Permute strides and shape according to `axes`, while resolving negative indices in `axes`
|
||||
for (SizeT axis = 0; axis < ndims; axis++) {
|
||||
// `i` cannot be OUT_OF_BOUNDS because of assertions
|
||||
SizeT i = slice::resolve_index_in_length(ndims, axes[axis]);
|
||||
|
||||
dst_ndarray->shape[axis] = src_ndarray->shape[i];
|
||||
dst_ndarray->strides[axis] = src_ndarray->strides[i];
|
||||
}
|
||||
}
|
||||
}
|
||||
} // namespace ndarray::transpose
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace ndarray::transpose;
|
||||
void __nac3_ndarray_transpose(const NDArray<int32_t>* src_ndarray,
|
||||
NDArray<int32_t>* dst_ndarray,
|
||||
int32_t num_axes,
|
||||
const int32_t* axes) {
|
||||
transpose(src_ndarray, dst_ndarray, num_axes, axes);
|
||||
}
|
||||
|
||||
void __nac3_ndarray_transpose64(const NDArray<int64_t>* src_ndarray,
|
||||
NDArray<int64_t>* dst_ndarray,
|
||||
int64_t num_axes,
|
||||
const int64_t* axes) {
|
||||
transpose(src_ndarray, dst_ndarray, num_axes, axes);
|
||||
}
|
||||
}
|
@ -1,47 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/debug.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
|
||||
namespace {
|
||||
namespace range {
|
||||
template<typename T>
|
||||
T len(T start, T stop, T step) {
|
||||
// Reference:
|
||||
// https://github.com/python/cpython/blob/9dbd12375561a393eaec4b21ee4ac568a407cdb0/Objects/rangeobject.c#L933
|
||||
if (step > 0 && start < stop)
|
||||
return 1 + (stop - 1 - start) / step;
|
||||
else if (step < 0 && start > stop)
|
||||
return 1 + (start - 1 - stop) / (-step);
|
||||
else
|
||||
return 0;
|
||||
}
|
||||
} // namespace range
|
||||
|
||||
/**
|
||||
* @brief A Python range.
|
||||
*/
|
||||
template<typename T>
|
||||
struct Range {
|
||||
T start;
|
||||
T stop;
|
||||
T step;
|
||||
|
||||
/**
|
||||
* @brief Calculate the `len()` of this range.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
T len() {
|
||||
debug_assert(SizeT, step != 0);
|
||||
return range::len(start, stop, step);
|
||||
}
|
||||
};
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
using namespace range;
|
||||
|
||||
SliceIndex __nac3_range_slice_len(const SliceIndex start, const SliceIndex end, const SliceIndex step) {
|
||||
return len(start, end, step);
|
||||
}
|
||||
}
|
@ -1,156 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/debug.hpp"
|
||||
#include "irrt/exception.hpp"
|
||||
#include "irrt/int_types.hpp"
|
||||
#include "irrt/math_util.hpp"
|
||||
#include "irrt/range.hpp"
|
||||
|
||||
namespace {
|
||||
namespace slice {
|
||||
/**
|
||||
* @brief Resolve a possibly negative index in a list of a known length.
|
||||
*
|
||||
* Returns -1 if the resolved index is out of the list's bounds.
|
||||
*/
|
||||
template<typename T>
|
||||
T resolve_index_in_length(T length, T index) {
|
||||
T resolved = index < 0 ? length + index : index;
|
||||
if (0 <= resolved && resolved < length) {
|
||||
return resolved;
|
||||
} else {
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Resolve a slice as a range.
|
||||
*
|
||||
* This is equivalent to `range(*slice(start, stop, step).indices(length))` in Python.
|
||||
*/
|
||||
template<typename T>
|
||||
void indices(bool start_defined,
|
||||
T start,
|
||||
bool stop_defined,
|
||||
T stop,
|
||||
bool step_defined,
|
||||
T step,
|
||||
T length,
|
||||
T* range_start,
|
||||
T* range_stop,
|
||||
T* range_step) {
|
||||
// Reference: https://github.com/python/cpython/blob/main/Objects/sliceobject.c#L388
|
||||
*range_step = step_defined ? step : 1;
|
||||
bool step_is_negative = *range_step < 0;
|
||||
|
||||
T lower, upper;
|
||||
if (step_is_negative) {
|
||||
lower = -1;
|
||||
upper = length - 1;
|
||||
} else {
|
||||
lower = 0;
|
||||
upper = length;
|
||||
}
|
||||
|
||||
if (start_defined) {
|
||||
*range_start = start < 0 ? max(lower, start + length) : min(upper, start);
|
||||
} else {
|
||||
*range_start = step_is_negative ? upper : lower;
|
||||
}
|
||||
|
||||
if (stop_defined) {
|
||||
*range_stop = stop < 0 ? max(lower, stop + length) : min(upper, stop);
|
||||
} else {
|
||||
*range_stop = step_is_negative ? lower : upper;
|
||||
}
|
||||
}
|
||||
} // namespace slice
|
||||
|
||||
/**
|
||||
* @brief A Python-like slice with **unresolved** indices.
|
||||
*/
|
||||
template<typename T>
|
||||
struct Slice {
|
||||
bool start_defined;
|
||||
T start;
|
||||
|
||||
bool stop_defined;
|
||||
T stop;
|
||||
|
||||
bool step_defined;
|
||||
T step;
|
||||
|
||||
Slice() { this->reset(); }
|
||||
|
||||
void reset() {
|
||||
this->start_defined = false;
|
||||
this->stop_defined = false;
|
||||
this->step_defined = false;
|
||||
}
|
||||
|
||||
void set_start(T start) {
|
||||
this->start_defined = true;
|
||||
this->start = start;
|
||||
}
|
||||
|
||||
void set_stop(T stop) {
|
||||
this->stop_defined = true;
|
||||
this->stop = stop;
|
||||
}
|
||||
|
||||
void set_step(T step) {
|
||||
this->step_defined = true;
|
||||
this->step = step;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Resolve this slice as a range.
|
||||
*
|
||||
* In Python, this would be `range(*slice(start, stop, step).indices(length))`.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
Range<T> indices(T length) {
|
||||
// Reference:
|
||||
// https://github.com/python/cpython/blob/main/Objects/sliceobject.c#L388
|
||||
debug_assert(SizeT, length >= 0);
|
||||
|
||||
Range<T> result;
|
||||
slice::indices(start_defined, start, stop_defined, stop, step_defined, step, length, &result.start,
|
||||
&result.stop, &result.step);
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* @brief Like `.indices()` but with assertions.
|
||||
*/
|
||||
template<typename SizeT>
|
||||
Range<T> indices_checked(T length) {
|
||||
// TODO: Switch to `SizeT length`
|
||||
|
||||
if (length < 0) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "length should not be negative, got {0}", length, NO_PARAM,
|
||||
NO_PARAM);
|
||||
}
|
||||
|
||||
if (this->step_defined && this->step == 0) {
|
||||
raise_exception(SizeT, EXN_VALUE_ERROR, "slice step cannot be zero", NO_PARAM, NO_PARAM, NO_PARAM);
|
||||
}
|
||||
|
||||
return this->indices<SizeT>(length);
|
||||
}
|
||||
};
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
SliceIndex __nac3_slice_index_bound(SliceIndex i, const SliceIndex len) {
|
||||
if (i < 0) {
|
||||
i = len + i;
|
||||
}
|
||||
if (i < 0) {
|
||||
return 0;
|
||||
} else if (i > len) {
|
||||
return len;
|
||||
}
|
||||
return i;
|
||||
}
|
||||
}
|
@ -1,23 +0,0 @@
|
||||
#pragma once
|
||||
|
||||
#include "irrt/int_types.hpp"
|
||||
|
||||
namespace {
|
||||
template<typename SizeT>
|
||||
bool __nac3_str_eq_impl(const char* str1, SizeT len1, const char* str2, SizeT len2) {
|
||||
if (len1 != len2) {
|
||||
return 0;
|
||||
}
|
||||
return __builtin_memcmp(str1, str2, static_cast<SizeT>(len1)) == 0;
|
||||
}
|
||||
} // namespace
|
||||
|
||||
extern "C" {
|
||||
bool nac3_str_eq(const char* str1, uint32_t len1, const char* str2, uint32_t len2) {
|
||||
return __nac3_str_eq_impl<uint32_t>(str1, len1, str2, len2);
|
||||
}
|
||||
|
||||
bool nac3_str_eq64(const char* str1, uint64_t len1, const char* str2, uint64_t len2) {
|
||||
return __nac3_str_eq_impl<uint64_t>(str1, len1, str2, len2);
|
||||
}
|
||||
}
|
77
nac3core/irrt/irrt/utils.hpp
Normal file
77
nac3core/irrt/irrt/utils.hpp
Normal file
@ -0,0 +1,77 @@
|
||||
#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;
|
||||
}
|
||||
|
||||
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();
|
||||
}
|
||||
} // namespace cstr_utils
|
||||
} // namespace
|
6
nac3core/irrt/irrt_everything.hpp
Normal file
6
nac3core/irrt/irrt_everything.hpp
Normal file
@ -0,0 +1,6 @@
|
||||
#pragma once
|
||||
|
||||
#include <irrt/core.hpp>
|
||||
#include <irrt/int_defs.hpp>
|
||||
#include <irrt/utils.hpp>
|
||||
#include <irrt/error_context.hpp>
|
13
nac3core/irrt/irrt_test.cpp
Normal file
13
nac3core/irrt/irrt_test.cpp
Normal file
@ -0,0 +1,13 @@
|
||||
// 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 <test/test_core.hpp>
|
||||
|
||||
int main() {
|
||||
test::core::run();
|
||||
return 0;
|
||||
}
|
12
nac3core/irrt/test/includes.hpp
Normal file
12
nac3core/irrt/test/includes.hpp
Normal file
@ -0,0 +1,12 @@
|
||||
#pragma once
|
||||
|
||||
#include <cstdint>
|
||||
#include <cstdio>
|
||||
#include <cstdlib>
|
||||
|
||||
#include <test/util.hpp>
|
||||
#include <irrt_everything.hpp>
|
||||
|
||||
/*
|
||||
Include this header for every test_*.cpp
|
||||
*/
|
16
nac3core/irrt/test/test_core.hpp
Normal file
16
nac3core/irrt/test/test_core.hpp
Normal file
@ -0,0 +1,16 @@
|
||||
#pragma once
|
||||
|
||||
#include <test/includes.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();
|
||||
}
|
||||
}} // namespace test::core
|
114
nac3core/irrt/test/util.hpp
Normal file
114
nac3core/irrt/test/util.hpp
Normal file
@ -0,0 +1,114 @@
|
||||
#pragma once
|
||||
|
||||
#include <cstdlib>
|
||||
#include <cstdio>
|
||||
|
||||
template <class T>
|
||||
void print_value(const T& value) {}
|
||||
|
||||
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 __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);
|
||||
}
|
||||
|
||||
template <typename T>
|
||||
void debug_print_array(int len, const T* as) {
|
||||
printf("[");
|
||||
for (int i = 0; i < len; i++) {
|
||||
if (i != 0)
|
||||
printf(", ");
|
||||
print_value(as[i]);
|
||||
}
|
||||
printf("]");
|
||||
}
|
||||
|
||||
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 = ");
|
||||
debug_print_array(len, expected);
|
||||
printf("\n");
|
||||
printf(" Got = ");
|
||||
debug_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)
|
@ -1,21 +0,0 @@
|
||||
[package]
|
||||
name = "nac3core_derive"
|
||||
version = "0.1.0"
|
||||
edition = "2021"
|
||||
|
||||
[lib]
|
||||
proc-macro = true
|
||||
|
||||
[[test]]
|
||||
name = "structfields_tests"
|
||||
path = "tests/structfields_test.rs"
|
||||
|
||||
[dev-dependencies]
|
||||
nac3core = { path = ".." }
|
||||
trybuild = { version = "1.0", features = ["diff"] }
|
||||
|
||||
[dependencies]
|
||||
proc-macro2 = "1.0"
|
||||
proc-macro-error = "1.0"
|
||||
syn = "2.0"
|
||||
quote = "1.0"
|
@ -1,320 +0,0 @@
|
||||
use proc_macro::TokenStream;
|
||||
use proc_macro_error::{abort, proc_macro_error};
|
||||
use quote::quote;
|
||||
use syn::{
|
||||
parse_macro_input, spanned::Spanned, Data, DataStruct, Expr, ExprField, ExprMethodCall,
|
||||
ExprPath, GenericArgument, Ident, LitStr, Path, PathArguments, Type, TypePath,
|
||||
};
|
||||
|
||||
/// Extracts all generic arguments of a [`Type`] into a [`Vec`].
|
||||
///
|
||||
/// Returns [`Some`] of a possibly-empty [`Vec`] if the path of `ty` matches with
|
||||
/// `expected_ty_name`, otherwise returns [`None`].
|
||||
fn extract_generic_args(expected_ty_name: &'static str, ty: &Type) -> Option<Vec<GenericArgument>> {
|
||||
let Type::Path(TypePath { qself: None, path, .. }) = ty else {
|
||||
return None;
|
||||
};
|
||||
|
||||
let segments = &path.segments;
|
||||
if segments.len() != 1 {
|
||||
return None;
|
||||
};
|
||||
|
||||
let segment = segments.iter().next().unwrap();
|
||||
if segment.ident != expected_ty_name {
|
||||
return None;
|
||||
}
|
||||
|
||||
let PathArguments::AngleBracketed(path_args) = &segment.arguments else {
|
||||
return Some(Vec::new());
|
||||
};
|
||||
let args = &path_args.args;
|
||||
|
||||
Some(args.iter().cloned().collect::<Vec<_>>())
|
||||
}
|
||||
|
||||
/// Maps a `path` matching one of the `target_idents` into the `replacement` [`Ident`].
|
||||
fn map_path_to_ident(path: &Path, target_idents: &[&str], replacement: &str) -> Option<Ident> {
|
||||
path.require_ident()
|
||||
.ok()
|
||||
.filter(|ident| target_idents.iter().any(|target| ident == target))
|
||||
.map(|ident| Ident::new(replacement, ident.span()))
|
||||
}
|
||||
|
||||
/// Extracts the left-hand side of a dot-expression.
|
||||
fn extract_dot_operand(expr: &Expr) -> Option<&Expr> {
|
||||
match expr {
|
||||
Expr::MethodCall(ExprMethodCall { receiver: operand, .. })
|
||||
| Expr::Field(ExprField { base: operand, .. }) => Some(operand),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
|
||||
/// Replaces the top-level receiver of a dot-expression with an [`Ident`], returning `Some(&mut expr)` if the
|
||||
/// replacement is performed.
|
||||
///
|
||||
/// The top-level receiver is the left-most receiver expression, e.g. the top-level receiver of `a.b.c.foo()` is `a`.
|
||||
fn replace_top_level_receiver(expr: &mut Expr, ident: Ident) -> Option<&mut Expr> {
|
||||
if let Expr::MethodCall(ExprMethodCall { receiver: operand, .. })
|
||||
| Expr::Field(ExprField { base: operand, .. }) = expr
|
||||
{
|
||||
return if extract_dot_operand(operand).is_some() {
|
||||
if replace_top_level_receiver(operand, ident).is_some() {
|
||||
Some(expr)
|
||||
} else {
|
||||
None
|
||||
}
|
||||
} else {
|
||||
*operand = Box::new(Expr::Path(ExprPath {
|
||||
attrs: Vec::default(),
|
||||
qself: None,
|
||||
path: ident.into(),
|
||||
}));
|
||||
|
||||
Some(expr)
|
||||
};
|
||||
}
|
||||
|
||||
None
|
||||
}
|
||||
|
||||
/// Iterates all operands to the left-hand side of the `.` of an [expression][`Expr`], i.e. the container operand of all
|
||||
/// [`Expr::Field`] and the receiver operand of all [`Expr::MethodCall`].
|
||||
///
|
||||
/// The iterator will return the operand expressions in reverse order of appearance. For example, `a.b.c.func()` will
|
||||
/// return `vec![c, b, a]`.
|
||||
fn iter_dot_operands(expr: &Expr) -> impl Iterator<Item = &Expr> {
|
||||
let mut o = extract_dot_operand(expr);
|
||||
|
||||
std::iter::from_fn(move || {
|
||||
let this = o;
|
||||
o = o.as_ref().and_then(|o| extract_dot_operand(o));
|
||||
|
||||
this
|
||||
})
|
||||
}
|
||||
|
||||
/// Normalizes a value expression for use when creating an instance of this structure, returning a
|
||||
/// [`proc_macro2::TokenStream`] of tokens representing the normalized expression.
|
||||
fn normalize_value_expr(expr: &Expr) -> proc_macro2::TokenStream {
|
||||
match &expr {
|
||||
Expr::Path(ExprPath { qself: None, path, .. }) => {
|
||||
if let Some(ident) = map_path_to_ident(path, &["usize", "size_t"], "llvm_usize") {
|
||||
quote! { #ident }
|
||||
} else {
|
||||
abort!(
|
||||
path,
|
||||
format!(
|
||||
"Expected one of `size_t`, `usize`, or an implicit call expression in #[value_type(...)], found {}",
|
||||
quote!(#expr).to_string(),
|
||||
)
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
Expr::Call(_) => {
|
||||
quote! { ctx.#expr }
|
||||
}
|
||||
|
||||
Expr::MethodCall(_) => {
|
||||
let base_receiver = iter_dot_operands(expr).last();
|
||||
|
||||
match base_receiver {
|
||||
// `usize.{...}`, `size_t.{...}` -> Rewrite the identifiers to `llvm_usize`
|
||||
Some(Expr::Path(ExprPath { qself: None, path, .. }))
|
||||
if map_path_to_ident(path, &["usize", "size_t"], "llvm_usize").is_some() =>
|
||||
{
|
||||
let ident =
|
||||
map_path_to_ident(path, &["usize", "size_t"], "llvm_usize").unwrap();
|
||||
|
||||
let mut expr = expr.clone();
|
||||
let expr = replace_top_level_receiver(&mut expr, ident).unwrap();
|
||||
|
||||
quote!(#expr)
|
||||
}
|
||||
|
||||
// `ctx.{...}`, `context.{...}` -> Rewrite the identifiers to `ctx`
|
||||
Some(Expr::Path(ExprPath { qself: None, path, .. }))
|
||||
if map_path_to_ident(path, &["ctx", "context"], "ctx").is_some() =>
|
||||
{
|
||||
let ident = map_path_to_ident(path, &["ctx", "context"], "ctx").unwrap();
|
||||
|
||||
let mut expr = expr.clone();
|
||||
let expr = replace_top_level_receiver(&mut expr, ident).unwrap();
|
||||
|
||||
quote!(#expr)
|
||||
}
|
||||
|
||||
// No reserved identifier prefix -> Prepend `ctx.` to the entire expression
|
||||
_ => quote! { ctx.#expr },
|
||||
}
|
||||
}
|
||||
|
||||
_ => {
|
||||
abort!(
|
||||
expr,
|
||||
format!(
|
||||
"Expected one of `size_t`, `usize`, or an implicit call expression in #[value_type(...)], found {}",
|
||||
quote!(#expr).to_string(),
|
||||
)
|
||||
)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Derives an implementation of `codegen::types::structure::StructFields`.
|
||||
///
|
||||
/// The benefit of using `#[derive(StructFields)]` is that all index- or order-dependent logic required by
|
||||
/// `impl StructFields` is automatically generated by this implementation, including the field index as required by
|
||||
/// `StructField::new` and the fields as returned by `StructFields::to_vec`.
|
||||
///
|
||||
/// # Prerequisites
|
||||
///
|
||||
/// In order to derive from [`StructFields`], you must implement (or derive) [`Eq`] and [`Copy`] as required by
|
||||
/// `StructFields`.
|
||||
///
|
||||
/// Moreover, `#[derive(StructFields)]` can only be used for `struct`s with named fields, and may only contain fields
|
||||
/// with either `StructField` or [`PhantomData`] types.
|
||||
///
|
||||
/// # Attributes for [`StructFields`]
|
||||
///
|
||||
/// Each `StructField` field must be declared with the `#[value_type(...)]` attribute. The argument of `value_type`
|
||||
/// accepts one of the following:
|
||||
///
|
||||
/// - An expression returning an instance of `inkwell::types::BasicType` (with or without the receiver `ctx`/`context`).
|
||||
/// For example, `context.i8_type()`, `ctx.i8_type()`, and `i8_type()` all refer to `i8`.
|
||||
/// - The reserved identifiers `usize` and `size_t` referring to an `inkwell::types::IntType` of the platform-dependent
|
||||
/// integer size. `usize` and `size_t` can also be used as the receiver to other method calls, e.g.
|
||||
/// `usize.array_type(3)`.
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
/// The following is an example of an LLVM slice implemented using `#[derive(StructFields)]`.
|
||||
///
|
||||
/// ```rust,ignore
|
||||
/// use nac3core::{
|
||||
/// codegen::types::structure::StructField,
|
||||
/// inkwell::{
|
||||
/// values::{IntValue, PointerValue},
|
||||
/// AddressSpace,
|
||||
/// },
|
||||
/// };
|
||||
/// use nac3core_derive::StructFields;
|
||||
///
|
||||
/// // All classes that implement StructFields must also implement Eq and Copy
|
||||
/// #[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
/// pub struct SliceValue<'ctx> {
|
||||
/// // Declares ptr have a value type of i8*
|
||||
/// //
|
||||
/// // Can also be written as `ctx.i8_type().ptr_type(...)` or `context.i8_type().ptr_type(...)`
|
||||
/// #[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
/// ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
///
|
||||
/// // Declares len have a value type of usize, depending on the target compilation platform
|
||||
/// #[value_type(usize)]
|
||||
/// len: StructField<'ctx, IntValue<'ctx>>,
|
||||
/// }
|
||||
/// ```
|
||||
#[proc_macro_derive(StructFields, attributes(value_type))]
|
||||
#[proc_macro_error]
|
||||
pub fn derive(input: TokenStream) -> TokenStream {
|
||||
let input = parse_macro_input!(input as syn::DeriveInput);
|
||||
let ident = &input.ident;
|
||||
|
||||
let Data::Struct(DataStruct { fields, .. }) = &input.data else {
|
||||
abort!(input, "Only structs with named fields are supported");
|
||||
};
|
||||
if let Err(err_span) =
|
||||
fields
|
||||
.iter()
|
||||
.try_for_each(|field| if field.ident.is_some() { Ok(()) } else { Err(field.span()) })
|
||||
{
|
||||
abort!(err_span, "Only structs with named fields are supported");
|
||||
};
|
||||
|
||||
// Check if struct<'ctx>
|
||||
if input.generics.params.len() != 1 {
|
||||
abort!(input.generics, "Expected exactly 1 generic parameter")
|
||||
}
|
||||
|
||||
let phantom_info = fields
|
||||
.iter()
|
||||
.filter(|field| extract_generic_args("PhantomData", &field.ty).is_some())
|
||||
.map(|field| field.ident.as_ref().unwrap())
|
||||
.cloned()
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
let field_info = fields
|
||||
.iter()
|
||||
.filter(|field| extract_generic_args("PhantomData", &field.ty).is_none())
|
||||
.map(|field| {
|
||||
let ident = field.ident.as_ref().unwrap();
|
||||
let ty = &field.ty;
|
||||
|
||||
let Some(_) = extract_generic_args("StructField", ty) else {
|
||||
abort!(field, "Only StructField and PhantomData are allowed")
|
||||
};
|
||||
|
||||
let attrs = &field.attrs;
|
||||
let Some(value_type_attr) =
|
||||
attrs.iter().find(|attr| attr.path().is_ident("value_type"))
|
||||
else {
|
||||
abort!(field, "Expected #[value_type(...)] attribute for field");
|
||||
};
|
||||
|
||||
let Ok(value_type_expr) = value_type_attr.parse_args::<Expr>() else {
|
||||
abort!(value_type_attr, "Expected expression in #[value_type(...)]");
|
||||
};
|
||||
|
||||
let value_expr_toks = normalize_value_expr(&value_type_expr);
|
||||
|
||||
(ident.clone(), value_expr_toks)
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
// `<*>::new` impl of `StructField` and `PhantomData` for `StructFields::new`
|
||||
let phantoms_create = phantom_info
|
||||
.iter()
|
||||
.map(|id| quote! { #id: ::std::marker::PhantomData })
|
||||
.collect::<Vec<_>>();
|
||||
let fields_create = field_info
|
||||
.iter()
|
||||
.map(|(id, ty)| {
|
||||
let id_lit = LitStr::new(&id.to_string(), id.span());
|
||||
quote! {
|
||||
#id: ::nac3core::codegen::types::structure::StructField::create(
|
||||
&mut counter,
|
||||
#id_lit,
|
||||
#ty,
|
||||
)
|
||||
}
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
// `.into()` impl of `StructField` for `StructFields::to_vec`
|
||||
let fields_into =
|
||||
field_info.iter().map(|(id, _)| quote! { self.#id.into() }).collect::<Vec<_>>();
|
||||
|
||||
let impl_block = quote! {
|
||||
impl<'ctx> ::nac3core::codegen::types::structure::StructFields<'ctx> for #ident<'ctx> {
|
||||
fn new(ctx: impl ::nac3core::inkwell::context::AsContextRef<'ctx>, llvm_usize: ::nac3core::inkwell::types::IntType<'ctx>) -> Self {
|
||||
let ctx = unsafe { ::nac3core::inkwell::context::ContextRef::new(ctx.as_ctx_ref()) };
|
||||
|
||||
let mut counter = ::nac3core::codegen::types::structure::FieldIndexCounter::default();
|
||||
|
||||
#ident {
|
||||
#(#fields_create),*
|
||||
#(#phantoms_create),*
|
||||
}
|
||||
}
|
||||
|
||||
fn to_vec(&self) -> ::std::vec::Vec<(&'static str, ::nac3core::inkwell::types::BasicTypeEnum<'ctx>)> {
|
||||
vec![
|
||||
#(#fields_into),*
|
||||
]
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
impl_block.into()
|
||||
}
|
@ -1,9 +0,0 @@
|
||||
use nac3core_derive::StructFields;
|
||||
use std::marker::PhantomData;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct EmptyValue<'ctx> {
|
||||
_phantom: PhantomData<&'ctx ()>,
|
||||
}
|
||||
|
||||
fn main() {}
|
@ -1,20 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct NDArrayValue<'ctx> {
|
||||
#[value_type(usize)]
|
||||
ndims: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
shape: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
data: StructField<'ctx, PointerValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
@ -1,18 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
@ -1,18 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
#[value_type(context.i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
@ -1,18 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
#[value_type(ctx.i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
@ -1,18 +0,0 @@
|
||||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct SliceValue<'ctx> {
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(size_t)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
@ -1,10 +0,0 @@
|
||||
#[test]
|
||||
fn test_parse_empty() {
|
||||
let t = trybuild::TestCases::new();
|
||||
t.pass("tests/structfields_empty.rs");
|
||||
t.pass("tests/structfields_slice.rs");
|
||||
t.pass("tests/structfields_slice_ctx.rs");
|
||||
t.pass("tests/structfields_slice_context.rs");
|
||||
t.pass("tests/structfields_slice_sizet.rs");
|
||||
t.pass("tests/structfields_ndarray.rs");
|
||||
}
|
File diff suppressed because it is too large
Load Diff
1763
nac3core/src/codegen/classes.rs
Normal file
1763
nac3core/src/codegen/classes.rs
Normal file
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`
|
||||
@ -15,11 +13,11 @@ use super::CodeGenContext;
|
||||
/// * `$extern_fn:literal`: Name of underlying extern function
|
||||
///
|
||||
/// Optional Arguments:
|
||||
/// * `$(,$attributes:literal)*)`: Attributes linked with the extern function.
|
||||
/// The default attributes are "mustprogress", "nofree", "nounwind", "willreturn", and "writeonly".
|
||||
/// These will be used unless other attributes are specified
|
||||
/// * `$(,$attributes:literal)*)`: Attributes linked with the extern function
|
||||
/// The default attributes are "mustprogress", "nofree", "nounwind", "willreturn", and "writeonly"
|
||||
/// These will be used unless other attributes are specified
|
||||
/// * `$(,$args:ident)*`: Operands of the extern function
|
||||
/// The data type of these operands will be set to `FloatValue`
|
||||
/// The data type of these operands will be set to `FloatValue`
|
||||
///
|
||||
macro_rules! generate_extern_fn {
|
||||
("unary", $fn_name:ident, $extern_fn:literal) => {
|
||||
@ -132,62 +130,3 @@ pub fn call_ldexp<'ctx>(
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Macro to generate `np_linalg` and `sp_linalg` functions
|
||||
/// The function takes as input `NDArray` and returns ()
|
||||
///
|
||||
/// Arguments:
|
||||
/// * `$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);
|
||||
|
@ -1,23 +1,20 @@
|
||||
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;
|
||||
|
||||
/// Return an instance of [`IntType`] corresponding to the type of `size_t` for this instance.
|
||||
fn get_size_type<'ctx>(&self, ctx: &'ctx Context) -> IntType<'ctx>;
|
||||
|
||||
/// Generate function call and returns the function return value.
|
||||
@ -60,7 +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>(
|
||||
@ -127,45 +123,11 @@ pub trait CodeGenerator {
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
target: &Expr<Option<Type>>,
|
||||
value: ValueEnum<'ctx>,
|
||||
value_ty: Type,
|
||||
) -> Result<(), String>
|
||||
where
|
||||
Self: Sized,
|
||||
{
|
||||
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)
|
||||
gen_assign(self, ctx, target, value)
|
||||
}
|
||||
|
||||
/// Generate code for a while expression.
|
||||
|
185
nac3core/src/codegen/irrt/error_context.rs
Normal file
185
nac3core/src/codegen/irrt/error_context.rs
Normal file
@ -0,0 +1,185 @@
|
||||
use crate::codegen::{model::*, CodeGenContext, CodeGenerator};
|
||||
|
||||
use super::{string::Str, util::get_sized_dependent_function_name};
|
||||
|
||||
/// The [`IntModel`] of nac3core's error ID.
|
||||
///
|
||||
/// It is always [`Int32`].
|
||||
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>>,
|
||||
}
|
||||
|
||||
/// Corresponds to IRRT's `struct ErrorIds`
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
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_ids: Field<PointerModel<StructModel<ErrorIds>>>,
|
||||
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>>,
|
||||
}
|
||||
|
||||
/// Corresponds to IRRT's `struct ErrorContext`
|
||||
#[derive(Debug, Clone, Copy, Default)]
|
||||
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_ids: builder.add_field_auto("error_ids"),
|
||||
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();
|
||||
}
|
||||
|
||||
/// Setup a [`ErrorContext`] that could
|
||||
/// be passed to IRRT functions taking in a `ErrorContext* errctx`
|
||||
/// for error reporting purposes.
|
||||
///
|
||||
/// Also see: [`check_error_context`]
|
||||
pub fn setup_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
|
||||
}
|
||||
|
||||
/// Check a [`ErrorContext`] to see
|
||||
/// if it contains error.
|
||||
///
|
||||
/// If there is an error, an LLVM exception will be raised at runtime.
|
||||
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));
|
||||
|
||||
// Does ErrorContext contain an error?
|
||||
let has_error = call_nac3_error_context_has_no_error(ctx, errctx_ptr);
|
||||
|
||||
// Get the error message (doesn't matter even if there's actually no error)
|
||||
let pstr = StructModel(Str { sizet }).alloca(ctx, "error_str");
|
||||
call_nac3_error_context_get_error_str(sizet, ctx, errctx_ptr, pstr);
|
||||
|
||||
// Load all the values for `ctx.make_assert_impl_by_id`
|
||||
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");
|
||||
|
||||
// Make assert
|
||||
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 = setup_error_context(ctx);
|
||||
FunctionBuilder::begin(ctx, "__nac3_error_dummy_raise")
|
||||
.arg("errctx", PointerModel(StructModel(ErrorContext)), errctx)
|
||||
.returning_void();
|
||||
check_error_context(generator, ctx, errctx);
|
||||
}
|
@ -1,174 +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 llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pi8 = ctx.ctx.i8_type().ptr_type(AddressSpace::default());
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
|
||||
assert_eq!(dest_idx.0.get_type(), llvm_i32);
|
||||
assert_eq!(dest_idx.1.get_type(), llvm_i32);
|
||||
assert_eq!(dest_idx.2.get_type(), llvm_i32);
|
||||
assert_eq!(src_idx.0.get_type(), llvm_i32);
|
||||
assert_eq!(src_idx.1.get_type(), llvm_i32);
|
||||
assert_eq!(src_idx.2.get_type(), llvm_i32);
|
||||
|
||||
let (fun_symbol, elem_ptr_type) = ("__nac3_list_slice_assign_var_size", llvm_pi8);
|
||||
let slice_assign_fun = {
|
||||
let ty_vec = vec![
|
||||
llvm_i32.into(), // dest start idx
|
||||
llvm_i32.into(), // dest end idx
|
||||
llvm_i32.into(), // dest step
|
||||
elem_ptr_type.into(), // dest arr ptr
|
||||
llvm_i32.into(), // dest arr len
|
||||
llvm_i32.into(), // src start idx
|
||||
llvm_i32.into(), // src end idx
|
||||
llvm_i32.into(), // src step
|
||||
elem_ptr_type.into(), // src arr ptr
|
||||
llvm_i32.into(), // src arr len
|
||||
llvm_i32.into(), // size
|
||||
];
|
||||
ctx.module.get_function(fun_symbol).unwrap_or_else(|| {
|
||||
let fn_t = llvm_i32.fn_type(ty_vec.as_slice(), false);
|
||||
ctx.module.add_function(fun_symbol, fn_t, None)
|
||||
})
|
||||
};
|
||||
|
||||
let zero = llvm_i32.const_zero();
|
||||
let one = llvm_i32.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, llvm_i32, "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, llvm_i32, "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, llvm_i32, "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, llvm_usize, "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);
|
||||
}
|
@ -1,168 +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 llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
|
||||
assert_eq!(v.get_type(), llvm_f64);
|
||||
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_isinf").unwrap_or_else(|| {
|
||||
let fn_type = llvm_i32.fn_type(&[llvm_f64.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 llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_f64 = ctx.ctx.f64_type();
|
||||
|
||||
assert_eq!(v.get_type(), llvm_f64);
|
||||
|
||||
let intrinsic_fn = ctx.module.get_function("__nac3_isnan").unwrap_or_else(|| {
|
||||
let fn_type = llvm_i32.fn_type(&[llvm_f64.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();
|
||||
|
||||
assert_eq!(v.get_type(), llvm_f64);
|
||||
|
||||
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();
|
||||
|
||||
assert_eq!(v.get_type(), llvm_f64);
|
||||
|
||||
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();
|
||||
|
||||
assert_eq!(v.get_type(), llvm_f64);
|
||||
|
||||
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()
|
||||
}
|
@ -1,31 +1,33 @@
|
||||
use crate::typecheck::typedef::Type;
|
||||
|
||||
pub mod error_context;
|
||||
pub mod string;
|
||||
mod test;
|
||||
pub 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 range::*;
|
||||
pub use slice::*;
|
||||
pub use string::*;
|
||||
|
||||
mod list;
|
||||
mod math;
|
||||
pub mod ndarray;
|
||||
mod range;
|
||||
mod slice;
|
||||
mod string;
|
||||
|
||||
#[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",
|
||||
@ -41,47 +43,89 @@ 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
|
||||
}
|
||||
|
||||
/// Returns the name of a function which contains variants for 32-bit and 64-bit `size_t`.
|
||||
///
|
||||
/// - When [`TypeContext::size_type`] is 32-bits, the function name is `fn_name}`.
|
||||
/// - When [`TypeContext::size_type`] is 64-bits, the function name is `{fn_name}64`.
|
||||
#[must_use]
|
||||
pub fn get_usize_dependent_function_name<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'_, '_>,
|
||||
name: &str,
|
||||
) -> String {
|
||||
let mut name = name.to_owned();
|
||||
match generator.get_size_type(ctx.ctx).get_bit_width() {
|
||||
32 => {}
|
||||
64 => name.push_str("64"),
|
||||
bit_width => {
|
||||
panic!("Unsupported int type bit width {bit_width}, must be either 32-bits or 64-bits")
|
||||
}
|
||||
}
|
||||
name
|
||||
// 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***,
|
||||
@ -132,11 +176,10 @@ pub fn handle_slice_indices<'ctx, G: CodeGenerator>(
|
||||
generator: &mut G,
|
||||
length: IntValue<'ctx>,
|
||||
) -> Result<Option<(IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>)>, String> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
|
||||
let zero = llvm_i32.const_zero();
|
||||
let one = llvm_i32.const_int(1, false);
|
||||
let length = ctx.builder.build_int_truncate_or_bit_cast(length, llvm_i32, "leni32").unwrap();
|
||||
let int32 = ctx.ctx.i32_type();
|
||||
let zero = int32.const_zero();
|
||||
let one = int32.const_int(1, false);
|
||||
let length = ctx.builder.build_int_truncate_or_bit_cast(length, int32, "leni32").unwrap();
|
||||
Ok(Some(match (start, end, step) {
|
||||
(s, e, None) => (
|
||||
if let Some(s) = s.as_ref() {
|
||||
@ -145,7 +188,7 @@ pub fn handle_slice_indices<'ctx, G: CodeGenerator>(
|
||||
None => return Ok(None),
|
||||
}
|
||||
} else {
|
||||
llvm_i32.const_zero()
|
||||
int32.const_zero()
|
||||
},
|
||||
{
|
||||
let e = if let Some(s) = e.as_ref() {
|
||||
@ -250,3 +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()),
|
||||
)
|
||||
}
|
||||
|
@ -1,80 +0,0 @@
|
||||
use inkwell::{types::BasicTypeEnum, values::IntValue};
|
||||
|
||||
use crate::codegen::{
|
||||
expr::infer_and_call_function,
|
||||
irrt::get_usize_dependent_function_name,
|
||||
values::{ndarray::NDArrayValue, ListValue, ProxyValue, TypedArrayLikeAccessor},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_array_set_and_validate_list_shape`.
|
||||
///
|
||||
/// Deduces the target shape of the `ndarray` from the provided `list`, raising an exception if
|
||||
/// there is any issue with the resultant `shape`.
|
||||
///
|
||||
/// `shape` must be pre-allocated by the caller of this function to `[usize; ndims]`, and must be
|
||||
/// initialized to all `-1`s.
|
||||
pub fn call_nac3_ndarray_array_set_and_validate_list_shape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
list: ListValue<'ctx>,
|
||||
ndims: IntValue<'ctx>,
|
||||
shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
assert_eq!(list.get_type().element_type().unwrap(), ctx.ctx.i8_type().into());
|
||||
assert_eq!(ndims.get_type(), llvm_usize);
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
|
||||
let name = get_usize_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_array_set_and_validate_list_shape",
|
||||
);
|
||||
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[list.as_base_value().into(), ndims.into(), shape.base_ptr(ctx, generator).into()],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_array_write_list_to_array`.
|
||||
///
|
||||
/// Copies the contents stored in `list` into `ndarray`.
|
||||
///
|
||||
/// The `ndarray` must fulfill the following preconditions:
|
||||
///
|
||||
/// - `ndarray.itemsize`: Must be initialized.
|
||||
/// - `ndarray.ndims`: Must be initialized.
|
||||
/// - `ndarray.shape`: Must be initialized.
|
||||
/// - `ndarray.data`: Must be allocated and contiguous.
|
||||
pub fn call_nac3_ndarray_array_write_list_to_array<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
list: ListValue<'ctx>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
assert_eq!(list.get_type().element_type().unwrap(), ctx.ctx.i8_type().into());
|
||||
|
||||
let name = get_usize_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_array_write_list_to_array",
|
||||
);
|
||||
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[list.as_base_value().into(), ndarray.as_base_value().into()],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
@ -1,310 +0,0 @@
|
||||
use inkwell::{
|
||||
types::BasicTypeEnum,
|
||||
values::{BasicValueEnum, IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use crate::codegen::{
|
||||
expr::{create_and_call_function, infer_and_call_function},
|
||||
irrt::get_usize_dependent_function_name,
|
||||
types::ProxyType,
|
||||
values::{ndarray::NDArrayValue, ProxyValue, TypedArrayLikeAccessor},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_util_assert_shape_no_negative`.
|
||||
///
|
||||
/// Assets that `shape` does not contain negative dimensions.
|
||||
pub fn call_nac3_ndarray_util_assert_shape_no_negative<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
|
||||
let name = get_usize_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_util_assert_shape_no_negative",
|
||||
);
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[
|
||||
(llvm_usize.into(), shape.size(ctx, generator).into()),
|
||||
(llvm_pusize.into(), shape.base_ptr(ctx, generator).into()),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_util_assert_shape_output_shape_same`.
|
||||
///
|
||||
/// Asserts that `ndarray_shape` and `output_shape` are the same in the context of writing output to
|
||||
/// an `ndarray`.
|
||||
pub fn call_nac3_ndarray_util_assert_output_shape_same<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray_shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
output_shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(ndarray_shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(output_shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
|
||||
let name = get_usize_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_util_assert_output_shape_same",
|
||||
);
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[
|
||||
(llvm_usize.into(), ndarray_shape.size(ctx, generator).into()),
|
||||
(llvm_pusize.into(), ndarray_shape.base_ptr(ctx, generator).into()),
|
||||
(llvm_usize.into(), output_shape.size(ctx, generator).into()),
|
||||
(llvm_pusize.into(), output_shape.base_ptr(ctx, generator).into()),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_size`.
|
||||
///
|
||||
/// Returns a [`usize`][CodeGenerator::get_size_type] value of the number of elements of an
|
||||
/// `ndarray`, corresponding to the value of `ndarray.size`.
|
||||
pub fn call_nac3_ndarray_size<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_size");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
Some("size"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_nbytes`.
|
||||
///
|
||||
/// Returns a [`usize`][CodeGenerator::get_size_type] value of the number of bytes consumed by the
|
||||
/// data of the `ndarray`, corresponding to the value of `ndarray.nbytes`.
|
||||
pub fn call_nac3_ndarray_nbytes<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_nbytes");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
Some("nbytes"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_len`.
|
||||
///
|
||||
/// Returns a [`usize`][CodeGenerator::get_size_type] value of the size of the topmost dimension of
|
||||
/// the `ndarray`, corresponding to the value of `ndarray.__len__`.
|
||||
pub fn call_nac3_ndarray_len<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_len");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_usize.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
Some("len"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_is_c_contiguous`.
|
||||
///
|
||||
/// Returns an `i1` value indicating whether the `ndarray` is C-contiguous.
|
||||
pub fn call_nac3_ndarray_is_c_contiguous<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_i1 = ctx.ctx.bool_type();
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_is_c_contiguous");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_i1.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
Some("is_c_contiguous"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_get_nth_pelement`.
|
||||
///
|
||||
/// Returns a [`PointerValue`] to the `index`-th flattened element of the `ndarray`.
|
||||
pub fn call_nac3_ndarray_get_nth_pelement<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
index: IntValue<'ctx>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
assert_eq!(index.get_type(), llvm_usize);
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_get_nth_pelement");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_pi8.into()),
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into()), (llvm_usize.into(), index.into())],
|
||||
Some("pelement"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_get_pelement_by_indices`.
|
||||
///
|
||||
/// `indices` must have the same number of elements as the number of dimensions in `ndarray`.
|
||||
///
|
||||
/// Returns a [`PointerValue`] to the element indexed by `indices`.
|
||||
pub fn call_nac3_ndarray_get_pelement_by_indices<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(indices.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
|
||||
let name =
|
||||
get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_get_pelement_by_indices");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(llvm_pi8.into()),
|
||||
&[
|
||||
(llvm_ndarray.into(), ndarray.as_base_value().into()),
|
||||
(llvm_pusize.into(), indices.base_ptr(ctx, generator).into()),
|
||||
],
|
||||
Some("pelement"),
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_set_strides_by_shape`.
|
||||
///
|
||||
/// Sets `ndarray.strides` assuming that `ndarray.shape` is C-contiguous.
|
||||
pub fn call_nac3_ndarray_set_strides_by_shape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
let llvm_ndarray = ndarray.get_type().as_base_type();
|
||||
|
||||
let name =
|
||||
get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_set_strides_by_shape");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[(llvm_ndarray.into(), ndarray.as_base_value().into())],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_copy_data`.
|
||||
///
|
||||
/// Copies all elements from `src_ndarray` to `dst_ndarray` using their flattened views. The number
|
||||
/// of elements in `src_ndarray` must be greater than or equal to the number of elements in
|
||||
/// `dst_ndarray`.
|
||||
pub fn call_nac3_ndarray_copy_data<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: NDArrayValue<'ctx>,
|
||||
dst_ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_copy_data");
|
||||
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[src_ndarray.as_base_value().into(), dst_ndarray.as_base_value().into()],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
@ -1,82 +0,0 @@
|
||||
use inkwell::values::IntValue;
|
||||
|
||||
use crate::codegen::{
|
||||
expr::infer_and_call_function,
|
||||
irrt::get_usize_dependent_function_name,
|
||||
types::{ndarray::ShapeEntryType, ProxyType},
|
||||
values::{
|
||||
ndarray::NDArrayValue, ArrayLikeValue, ArraySliceValue, ProxyValue, TypedArrayLikeAccessor,
|
||||
TypedArrayLikeMutator,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_broadcast_to`.
|
||||
///
|
||||
/// Attempts to broadcast `src_ndarray` to the new shape defined by `dst_ndarray`.
|
||||
///
|
||||
/// `dst_ndarray` must meet the following preconditions:
|
||||
///
|
||||
/// - `dst_ndarray.ndims` must be initialized and matching the length of `dst_ndarray.shape`.
|
||||
/// - `dst_ndarray.shape` must be initialized and contains the target broadcast shape.
|
||||
/// - `dst_ndarray.strides` must be allocated and may contain uninitialized values.
|
||||
pub fn call_nac3_ndarray_broadcast_to<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: NDArrayValue<'ctx>,
|
||||
dst_ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_broadcast_to");
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[src_ndarray.as_base_value().into(), dst_ndarray.as_base_value().into()],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_broadcast_shapes`.
|
||||
///
|
||||
/// Attempts to calculate the resultant shape from broadcasting all shapes in `shape_entries`,
|
||||
/// writing the result to `dst_shape`.
|
||||
pub fn call_nac3_ndarray_broadcast_shapes<'ctx, G, Shape>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
num_shape_entries: IntValue<'ctx>,
|
||||
shape_entries: ArraySliceValue<'ctx>,
|
||||
dst_ndims: IntValue<'ctx>,
|
||||
dst_shape: &Shape,
|
||||
) where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Shape: TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>
|
||||
+ TypedArrayLikeMutator<'ctx, G, IntValue<'ctx>>,
|
||||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
assert_eq!(num_shape_entries.get_type(), llvm_usize);
|
||||
assert!(ShapeEntryType::is_type(
|
||||
generator,
|
||||
ctx.ctx,
|
||||
shape_entries.base_ptr(ctx, generator).get_type()
|
||||
)
|
||||
.is_ok());
|
||||
assert_eq!(dst_ndims.get_type(), llvm_usize);
|
||||
assert_eq!(dst_shape.element_type(ctx, generator), llvm_usize.into());
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_broadcast_shapes");
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[
|
||||
num_shape_entries.into(),
|
||||
shape_entries.base_ptr(ctx, generator).into(),
|
||||
dst_ndims.into(),
|
||||
dst_shape.base_ptr(ctx, generator).into(),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
@ -1,34 +0,0 @@
|
||||
use crate::codegen::{
|
||||
expr::infer_and_call_function,
|
||||
irrt::get_usize_dependent_function_name,
|
||||
values::{ndarray::NDArrayValue, ArrayLikeValue, ArraySliceValue, ProxyValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_index`.
|
||||
///
|
||||
/// Performs [basic indexing](https://numpy.org/doc/stable/user/basics.indexing.html#basic-indexing)
|
||||
/// on `src_ndarray` using `indices`, writing the result to `dst_ndarray`, corresponding to the
|
||||
/// operation `dst_ndarray = src_ndarray[indices]`.
|
||||
pub fn call_nac3_ndarray_index<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
indices: ArraySliceValue<'ctx>,
|
||||
src_ndarray: NDArrayValue<'ctx>,
|
||||
dst_ndarray: NDArrayValue<'ctx>,
|
||||
) {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_index");
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[
|
||||
indices.size(ctx, generator).into(),
|
||||
indices.base_ptr(ctx, generator).into(),
|
||||
src_ndarray.as_base_value().into(),
|
||||
dst_ndarray.as_base_value().into(),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
@ -1,86 +0,0 @@
|
||||
use inkwell::{
|
||||
types::BasicTypeEnum,
|
||||
values::{BasicValueEnum, IntValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use crate::codegen::{
|
||||
expr::{create_and_call_function, infer_and_call_function},
|
||||
irrt::get_usize_dependent_function_name,
|
||||
types::ProxyType,
|
||||
values::{
|
||||
ndarray::{NDArrayValue, NDIterValue},
|
||||
ProxyValue, TypedArrayLikeAccessor,
|
||||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Generates a call to `__nac3_nditer_initialize`.
|
||||
///
|
||||
/// Initializes the `iter` object.
|
||||
pub fn call_nac3_nditer_initialize<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
iter: NDIterValue<'ctx>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(indices.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_nditer_initialize");
|
||||
|
||||
create_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[
|
||||
(iter.get_type().as_base_type().into(), iter.as_base_value().into()),
|
||||
(ndarray.get_type().as_base_type().into(), ndarray.as_base_value().into()),
|
||||
(llvm_pusize.into(), indices.base_ptr(ctx, generator).into()),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_nditer_initialize_has_element`.
|
||||
///
|
||||
/// Returns an `i1` value indicating whether there are elements left to traverse for the `iter`
|
||||
/// object.
|
||||
pub fn call_nac3_nditer_has_element<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
iter: NDIterValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_nditer_has_element");
|
||||
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
Some(ctx.ctx.bool_type().into()),
|
||||
&[iter.as_base_value().into()],
|
||||
None,
|
||||
None,
|
||||
)
|
||||
.map(BasicValueEnum::into_int_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_nditer_next`.
|
||||
///
|
||||
/// Moves `iter` to point to the next element.
|
||||
pub fn call_nac3_nditer_next<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
iter: NDIterValue<'ctx>,
|
||||
) {
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_nditer_next");
|
||||
|
||||
infer_and_call_function(ctx, &name, None, &[iter.as_base_value().into()], None, None);
|
||||
}
|
@ -1,66 +0,0 @@
|
||||
use inkwell::{types::BasicTypeEnum, values::IntValue};
|
||||
|
||||
use crate::codegen::{
|
||||
expr::infer_and_call_function, irrt::get_usize_dependent_function_name,
|
||||
values::TypedArrayLikeAccessor, CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_matmul_calculate_shapes`.
|
||||
///
|
||||
/// Calculates the broadcasted shapes for `a`, `b`, and the `ndarray` holding the final values of
|
||||
/// `a @ b`.
|
||||
#[allow(clippy::too_many_arguments)]
|
||||
pub fn call_nac3_ndarray_matmul_calculate_shapes<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
a_shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
b_shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
final_ndims: IntValue<'ctx>,
|
||||
new_a_shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
new_b_shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
dst_shape: &impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(a_shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(b_shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(new_a_shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(new_b_shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
assert_eq!(
|
||||
BasicTypeEnum::try_from(dst_shape.element_type(ctx, generator)).unwrap(),
|
||||
llvm_usize.into()
|
||||
);
|
||||
|
||||
let name =
|
||||
get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_matmul_calculate_shapes");
|
||||
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[
|
||||
a_shape.size(ctx, generator).into(),
|
||||
a_shape.base_ptr(ctx, generator).into(),
|
||||
b_shape.size(ctx, generator).into(),
|
||||
b_shape.base_ptr(ctx, generator).into(),
|
||||
final_ndims.into(),
|
||||
new_a_shape.base_ptr(ctx, generator).into(),
|
||||
new_b_shape.base_ptr(ctx, generator).into(),
|
||||
dst_shape.base_ptr(ctx, generator).into(),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
@ -1,17 +0,0 @@
|
||||
pub use array::*;
|
||||
pub use basic::*;
|
||||
pub use broadcast::*;
|
||||
pub use indexing::*;
|
||||
pub use iter::*;
|
||||
pub use matmul::*;
|
||||
pub use reshape::*;
|
||||
pub use transpose::*;
|
||||
|
||||
mod array;
|
||||
mod basic;
|
||||
mod broadcast;
|
||||
mod indexing;
|
||||
mod iter;
|
||||
mod matmul;
|
||||
mod reshape;
|
||||
mod transpose;
|
@ -1,40 +0,0 @@
|
||||
use inkwell::values::IntValue;
|
||||
|
||||
use crate::codegen::{
|
||||
expr::infer_and_call_function,
|
||||
irrt::get_usize_dependent_function_name,
|
||||
values::{ArrayLikeValue, ArraySliceValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_reshape_resolve_and_check_new_shape`.
|
||||
///
|
||||
/// Resolves unknown dimensions in `new_shape` for `numpy.reshape(<ndarray>, new_shape)`, raising an
|
||||
/// assertion if multiple dimensions are unknown (`-1`).
|
||||
pub fn call_nac3_ndarray_reshape_resolve_and_check_new_shape<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
size: IntValue<'ctx>,
|
||||
new_ndims: IntValue<'ctx>,
|
||||
new_shape: ArraySliceValue<'ctx>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
assert_eq!(size.get_type(), llvm_usize);
|
||||
assert_eq!(new_ndims.get_type(), llvm_usize);
|
||||
assert_eq!(new_shape.element_type(ctx, generator), llvm_usize.into());
|
||||
|
||||
let name = get_usize_dependent_function_name(
|
||||
generator,
|
||||
ctx,
|
||||
"__nac3_ndarray_reshape_resolve_and_check_new_shape",
|
||||
);
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[size.into(), new_ndims.into(), new_shape.base_ptr(ctx, generator).into()],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
@ -1,48 +0,0 @@
|
||||
use inkwell::{values::IntValue, AddressSpace};
|
||||
|
||||
use crate::codegen::{
|
||||
expr::infer_and_call_function,
|
||||
irrt::get_usize_dependent_function_name,
|
||||
values::{ndarray::NDArrayValue, ProxyValue, TypedArrayLikeAccessor},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_transpose`.
|
||||
///
|
||||
/// Creates a transpose view of `src_ndarray` and writes the result to `dst_ndarray`.
|
||||
///
|
||||
/// `dst_ndarray` must fulfill the following preconditions:
|
||||
///
|
||||
/// - `dst_ndarray.ndims` must be initialized and must be equal to `src_ndarray.ndims`.
|
||||
/// - `dst_ndarray.shape` must be allocated and may contain uninitialized values.
|
||||
/// - `dst_ndarray.strides` must be allocated and may contain uninitialized values.
|
||||
pub fn call_nac3_ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
src_ndarray: NDArrayValue<'ctx>,
|
||||
dst_ndarray: NDArrayValue<'ctx>,
|
||||
axes: Option<&impl TypedArrayLikeAccessor<'ctx, G, IntValue<'ctx>>>,
|
||||
) {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
assert!(axes.is_none_or(|axes| axes.size(ctx, generator).get_type() == llvm_usize));
|
||||
assert!(axes.is_none_or(|axes| axes.element_type(ctx, generator) == llvm_usize.into()));
|
||||
|
||||
let name = get_usize_dependent_function_name(generator, ctx, "__nac3_ndarray_transpose");
|
||||
infer_and_call_function(
|
||||
ctx,
|
||||
&name,
|
||||
None,
|
||||
&[
|
||||
src_ndarray.as_base_value().into(),
|
||||
dst_ndarray.as_base_value().into(),
|
||||
axes.map_or(llvm_usize.const_zero(), |axes| axes.size(ctx, generator)).into(),
|
||||
axes.map_or(llvm_usize.ptr_type(AddressSpace::default()).const_null(), |axes| {
|
||||
axes.base_ptr(ctx, generator)
|
||||
})
|
||||
.into(),
|
||||
],
|
||||
None,
|
||||
None,
|
||||
);
|
||||
}
|
@ -1,56 +0,0 @@
|
||||
use inkwell::{
|
||||
values::{BasicValueEnum, CallSiteValue, IntValue},
|
||||
IntPredicate,
|
||||
};
|
||||
use itertools::Either;
|
||||
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
/// Invokes the `__nac3_range_slice_len` in IRRT.
|
||||
///
|
||||
/// - `start`: The `i32` start value for the slice.
|
||||
/// - `end`: The `i32` end value for the slice.
|
||||
/// - `step`: The `i32` step value for the slice.
|
||||
///
|
||||
/// Returns an `i32` value of the length of the slice.
|
||||
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 llvm_i32 = ctx.ctx.i32_type();
|
||||
|
||||
assert_eq!(start.get_type(), llvm_i32);
|
||||
assert_eq!(end.get_type(), llvm_i32);
|
||||
assert_eq!(step.get_type(), llvm_i32);
|
||||
|
||||
let len_func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
|
||||
let fn_t = llvm_i32.fn_type(&[llvm_i32.into(), llvm_i32.into(), llvm_i32.into()], false);
|
||||
ctx.module.add_function(SYMBOL, fn_t, None)
|
||||
});
|
||||
|
||||
// assert step != 0, throw exception if not
|
||||
let not_zero = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::NE, step, step.get_type().const_zero(), "range_step_ne")
|
||||
.unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
not_zero,
|
||||
"0:ValueError",
|
||||
"step must not be zero",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
ctx.builder
|
||||
.build_call(len_func, &[start.into(), end.into(), step.into()], "calc_len")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
@ -1,39 +0,0 @@
|
||||
use inkwell::values::{BasicValueEnum, CallSiteValue, IntValue};
|
||||
use itertools::Either;
|
||||
|
||||
use nac3parser::ast::Expr;
|
||||
|
||||
use crate::{
|
||||
codegen::{CodeGenContext, CodeGenerator},
|
||||
typecheck::typedef::Type,
|
||||
};
|
||||
|
||||
/// this function allows index out of range, since python
|
||||
/// allows index out of range in slice (`a = [1,2,3]; a[1:10] == [2,3]`).
|
||||
pub fn handle_slice_index_bound<'ctx, G: CodeGenerator>(
|
||||
i: &Expr<Option<Type>>,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
length: IntValue<'ctx>,
|
||||
) -> Result<Option<IntValue<'ctx>>, String> {
|
||||
const SYMBOL: &str = "__nac3_slice_index_bound";
|
||||
let func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
|
||||
let i32_t = ctx.ctx.i32_type();
|
||||
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into()], false);
|
||||
ctx.module.add_function(SYMBOL, fn_t, None)
|
||||
});
|
||||
|
||||
let i = if let Some(v) = generator.gen_expr(ctx, i)? {
|
||||
v.to_basic_value_enum(ctx, generator, i.custom.unwrap())?
|
||||
} else {
|
||||
return Ok(None);
|
||||
};
|
||||
Ok(Some(
|
||||
ctx.builder
|
||||
.build_call(func, &[i.into(), length.into()], "bounded_ind")
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap(),
|
||||
))
|
||||
}
|
@ -1,46 +1,34 @@
|
||||
use inkwell::values::{BasicValueEnum, CallSiteValue, IntValue, PointerValue};
|
||||
use itertools::Either;
|
||||
use crate::codegen::model::*;
|
||||
|
||||
use super::get_usize_dependent_function_name;
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
/// Generates a call to string equality comparison. Returns an `i1` representing whether the strings are equal.
|
||||
pub fn call_string_eq<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
str1_ptr: PointerValue<'ctx>,
|
||||
str1_len: IntValue<'ctx>,
|
||||
str2_ptr: PointerValue<'ctx>,
|
||||
str2_len: IntValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let llvm_i1 = ctx.ctx.bool_type();
|
||||
|
||||
let func_name = get_usize_dependent_function_name(generator, ctx, "nac3_str_eq");
|
||||
|
||||
let func = ctx.module.get_function(&func_name).unwrap_or_else(|| {
|
||||
ctx.module.add_function(
|
||||
&func_name,
|
||||
llvm_i1.fn_type(
|
||||
&[
|
||||
str1_ptr.get_type().into(),
|
||||
str1_len.get_type().into(),
|
||||
str2_ptr.get_type().into(),
|
||||
str2_len.get_type().into(),
|
||||
],
|
||||
false,
|
||||
),
|
||||
None,
|
||||
)
|
||||
});
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
func,
|
||||
&[str1_ptr.into(), str1_len.into(), str2_ptr.into(), str2_len.into()],
|
||||
"str_eq_call",
|
||||
)
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
pub struct StrFields<'ctx> {
|
||||
/// Pointer to the string. Does not have to be null-terminated.
|
||||
pub content: Field<PointerModel<FixedIntModel<Byte>>>,
|
||||
/// Number of bytes this string occupies in space.
|
||||
///
|
||||
/// The [`IntModel`] matches [`Str::sizet`].
|
||||
pub length: Field<IntModel<'ctx>>,
|
||||
}
|
||||
|
||||
/// Corresponds to IRRT's `struct Str`
|
||||
///
|
||||
/// nac3core's LLVM representation of a string in memory
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Str<'ctx> {
|
||||
/// The `SizeT` type of this string.
|
||||
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),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
26
nac3core/src/codegen/irrt/test.rs
Normal file
26
nac3core/src/codegen/irrt/test.rs
Normal file
@ -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");
|
||||
}
|
||||
}
|
||||
}
|
79
nac3core/src/codegen/irrt/util.rs
Normal file
79
nac3core/src/codegen/irrt/util.rs
Normal file
@ -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();
|
||||
}
|
||||
}
|
@ -1,45 +1,38 @@
|
||||
use inkwell::{
|
||||
intrinsics::Intrinsic,
|
||||
types::AnyTypeEnum::IntType,
|
||||
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 {
|
||||
// Standard LLVM floating-point types
|
||||
if ft == ctx.f16_type() {
|
||||
return "f16";
|
||||
}
|
||||
if ft == ctx.f32_type() {
|
||||
return "f32";
|
||||
}
|
||||
if ft == ctx.f64_type() {
|
||||
return "f64";
|
||||
}
|
||||
if ft == ctx.f128_type() {
|
||||
return "f128";
|
||||
}
|
||||
|
||||
/// Invokes the [`llvm.va_start`](https://llvm.org/docs/LangRef.html#llvm-va-start-intrinsic)
|
||||
/// intrinsic.
|
||||
pub fn call_va_start<'ctx>(ctx: &CodeGenContext<'ctx, '_>, arglist: PointerValue<'ctx>) {
|
||||
const FN_NAME: &str = "llvm.va_start";
|
||||
// Non-standard floating-point types
|
||||
if ft == ctx.x86_f80_type() {
|
||||
return "f80";
|
||||
}
|
||||
if ft == ctx.ppc_f128_type() {
|
||||
return "ppcf128";
|
||||
}
|
||||
|
||||
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);
|
||||
|
||||
ctx.module.add_function(FN_NAME, fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder.build_call(intrinsic_fn, &[arglist.into()], "").unwrap();
|
||||
}
|
||||
|
||||
/// Invokes the [`llvm.va_end`](https://llvm.org/docs/LangRef.html#llvm-va-end-intrinsic)
|
||||
/// intrinsic.
|
||||
pub fn call_va_end<'ctx>(ctx: &CodeGenContext<'ctx, '_>, arglist: PointerValue<'ctx>) {
|
||||
const FN_NAME: &str = "llvm.va_end";
|
||||
|
||||
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);
|
||||
|
||||
ctx.module.add_function(FN_NAME, fn_type, None)
|
||||
});
|
||||
|
||||
ctx.builder.build_call(intrinsic_fn, &[arglist.into()], "").unwrap();
|
||||
unreachable!()
|
||||
}
|
||||
|
||||
/// Invokes the [`llvm.stacksave`](https://llvm.org/docs/LangRef.html#llvm-stacksave-intrinsic)
|
||||
@ -156,7 +149,7 @@ 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()
|
||||
};
|
||||
@ -164,7 +157,7 @@ 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()
|
||||
};
|
||||
@ -172,58 +165,14 @@ pub fn call_memcpy_generic<'ctx>(
|
||||
call_memcpy(ctx, dest, src, len, is_volatile);
|
||||
}
|
||||
|
||||
/// Invokes the `llvm.memcpy` intrinsic.
|
||||
///
|
||||
/// Unlike [`call_memcpy`], this function accepts any type of pointer value. If `dest` or `src` is
|
||||
/// not a pointer to an integer, the pointer(s) will be cast to `i8*` before invoking `memcpy`.
|
||||
/// Moreover, `len` now refers to the number of elements to copy (rather than number of bytes to
|
||||
/// copy).
|
||||
pub fn call_memcpy_generic_array<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
dest: PointerValue<'ctx>,
|
||||
src: PointerValue<'ctx>,
|
||||
len: IntValue<'ctx>,
|
||||
is_volatile: IntValue<'ctx>,
|
||||
) {
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_p0i8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_sizeof_expr_t = llvm_i8.size_of().get_type();
|
||||
|
||||
let dest_elem_t = dest.get_type().get_element_type();
|
||||
let src_elem_t = src.get_type().get_element_type();
|
||||
|
||||
let dest = if matches!(dest_elem_t, IntType(t) if t.get_bit_width() == 8) {
|
||||
dest
|
||||
} else {
|
||||
ctx.builder
|
||||
.build_bit_cast(dest, llvm_p0i8, "")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
};
|
||||
let src = if matches!(src_elem_t, IntType(t) if t.get_bit_width() == 8) {
|
||||
src
|
||||
} else {
|
||||
ctx.builder
|
||||
.build_bit_cast(src, llvm_p0i8, "")
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
let len = ctx.builder.build_int_z_extend_or_bit_cast(len, llvm_sizeof_expr_t, "").unwrap();
|
||||
let len = ctx.builder.build_int_mul(len, src_elem_t.size_of().unwrap(), "").unwrap();
|
||||
|
||||
call_memcpy(ctx, dest, src, len, is_volatile);
|
||||
}
|
||||
|
||||
/// Macro to find and generate build call for llvm intrinsic (body of llvm intrinsic function)
|
||||
///
|
||||
/// Arguments:
|
||||
/// * `$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 {
|
||||
@ -239,8 +188,8 @@ 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.
|
||||
/// Omit "llvm." prefix from the function name i.e. use "ceil" instead of "llvm.ceil"
|
||||
/// * `$llvm_name:literal`: Name of underlying llvm intrinsic function
|
||||
/// Omit "llvm." prefix from the function name i.e. use "ceil" instead of "llvm.ceil"
|
||||
/// * `$val:ident`: The operand for unary operations
|
||||
/// * `$val1:ident`, `$val2:ident`: The operands for binary operations
|
||||
macro_rules! generate_llvm_intrinsic_fn {
|
||||
@ -357,25 +306,3 @@ pub fn call_float_powi<'ctx>(
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Invokes the [`llvm.ctpop`](https://llvm.org/docs/LangRef.html#llvm-ctpop-intrinsic) intrinsic.
|
||||
pub fn call_int_ctpop<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
src: IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> IntValue<'ctx> {
|
||||
const FN_NAME: &str = "llvm.ctpop";
|
||||
|
||||
let llvm_src_t = src.get_type();
|
||||
|
||||
let intrinsic_fn = Intrinsic::find(FN_NAME)
|
||||
.and_then(|intrinsic| intrinsic.get_declaration(&ctx.module, &[llvm_src_t.into()]))
|
||||
.unwrap();
|
||||
|
||||
ctx.builder
|
||||
.build_call(intrinsic_fn, &[src.into()], name.unwrap_or_default())
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
@ -1,12 +1,12 @@
|
||||
use std::{
|
||||
collections::{HashMap, HashSet},
|
||||
sync::{
|
||||
atomic::{AtomicBool, Ordering},
|
||||
Arc,
|
||||
use crate::{
|
||||
codegen::classes::{ListType, NDArrayType, ProxyType, RangeType},
|
||||
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},
|
||||
},
|
||||
thread,
|
||||
};
|
||||
|
||||
use crossbeam::channel::{unbounded, Receiver, Sender};
|
||||
use inkwell::{
|
||||
attributes::{Attribute, AttributeLoc},
|
||||
@ -23,57 +23,35 @@ use inkwell::{
|
||||
values::{BasicValueEnum, FunctionValue, IntValue, PhiValue, PointerValue},
|
||||
AddressSpace, IntPredicate, OptimizationLevel,
|
||||
};
|
||||
use irrt::string::Str;
|
||||
use itertools::Itertools;
|
||||
use parking_lot::{Condvar, Mutex};
|
||||
|
||||
use model::*;
|
||||
use nac3parser::ast::{Location, Stmt, StrRef};
|
||||
|
||||
use crate::{
|
||||
symbol_resolver::{StaticValue, SymbolResolver},
|
||||
toplevel::{
|
||||
helper::{extract_ndims, 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::{ndarray::NDArrayType, ListType, ProxyType, RangeType, TupleType};
|
||||
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 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 {
|
||||
@ -93,16 +71,6 @@ 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 {
|
||||
@ -228,7 +196,7 @@ pub struct CodeGenContext<'ctx, 'a> {
|
||||
pub current_loc: Location,
|
||||
}
|
||||
|
||||
impl CodeGenContext<'_, '_> {
|
||||
impl<'ctx, 'a> CodeGenContext<'ctx, 'a> {
|
||||
/// Whether the [current basic block][Builder::get_insert_block] referenced by `builder`
|
||||
/// contains a [terminator statement][BasicBlock::get_terminator].
|
||||
pub fn is_terminated(&self) -> bool {
|
||||
@ -373,10 +341,6 @@ 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,
|
||||
@ -400,10 +364,6 @@ 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;
|
||||
@ -469,7 +429,7 @@ 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>>,
|
||||
@ -514,13 +474,12 @@ fn get_llvm_type<'ctx, G: CodeGenerator + ?Sized>(
|
||||
}
|
||||
|
||||
TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
|
||||
let (dtype, ndims) = unpack_ndarray_var_tys(unifier, ty);
|
||||
let ndims = extract_ndims(unifier, ndims);
|
||||
let (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, ndims).as_base_type().into()
|
||||
NDArrayType::new(generator, ctx, element_type).as_base_type().into()
|
||||
}
|
||||
|
||||
_ => unreachable!(
|
||||
@ -564,17 +523,15 @@ 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| {
|
||||
get_llvm_type(ctx, module, generator, unifier, top_level, type_cache, *ty)
|
||||
})
|
||||
.collect_vec();
|
||||
TupleType::new(generator, ctx, &fields).as_base_type().into()
|
||||
ctx.struct_type(&fields, false).into()
|
||||
}
|
||||
TVirtual { .. } => unimplemented!(),
|
||||
_ => unreachable!("{}", ty_enum.get_type_name()),
|
||||
@ -597,7 +554,7 @@ 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>>,
|
||||
@ -606,11 +563,11 @@ 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`.
|
||||
@ -635,40 +592,6 @@ 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,
|
||||
@ -734,19 +657,8 @@ 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, {
|
||||
@ -780,7 +692,6 @@ 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),
|
||||
@ -803,10 +714,7 @@ 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,
|
||||
@ -825,12 +733,9 @@ 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;
|
||||
@ -858,10 +763,9 @@ 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,
|
||||
@ -894,8 +798,6 @@ 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 {
|
||||
@ -1118,112 +1020,3 @@ 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()
|
||||
}
|
||||
|
||||
/// Returns the alignment of the type.
|
||||
///
|
||||
/// This is necessary as `get_alignment` is not implemented as part of [`BasicType`].
|
||||
pub fn get_type_alignment<'ctx>(ty: impl Into<BasicTypeEnum<'ctx>>) -> IntValue<'ctx> {
|
||||
match ty.into() {
|
||||
BasicTypeEnum::ArrayType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::FloatType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::IntType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::PointerType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::StructType(ty) => ty.get_alignment(),
|
||||
BasicTypeEnum::VectorType(ty) => ty.get_alignment(),
|
||||
}
|
||||
}
|
||||
|
||||
/// Inserts an `alloca` instruction with allocation `size` given in bytes and the alignment of the
|
||||
/// given type.
|
||||
///
|
||||
/// The returned [`PointerValue`] will have a type of `i8*`, a size of at least `size`, and will be
|
||||
/// aligned with the alignment of `align_ty`.
|
||||
pub fn type_aligned_alloca<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
align_ty: impl Into<BasicTypeEnum<'ctx>>,
|
||||
size: IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
/// Round `val` up to its modulo `power_of_two`.
|
||||
fn round_up<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
val: IntValue<'ctx>,
|
||||
power_of_two: IntValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
debug_assert_eq!(
|
||||
val.get_type().get_bit_width(),
|
||||
power_of_two.get_type().get_bit_width(),
|
||||
"`val` ({}) and `power_of_two` ({}) must be the same type",
|
||||
val.get_type(),
|
||||
power_of_two.get_type(),
|
||||
);
|
||||
|
||||
let llvm_val_t = val.get_type();
|
||||
|
||||
let max_rem =
|
||||
ctx.builder.build_int_sub(power_of_two, llvm_val_t.const_int(1, false), "").unwrap();
|
||||
ctx.builder
|
||||
.build_and(
|
||||
ctx.builder.build_int_add(val, max_rem, "").unwrap(),
|
||||
ctx.builder.build_not(max_rem, "").unwrap(),
|
||||
"",
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
let llvm_i8 = ctx.ctx.i8_type();
|
||||
let llvm_pi8 = llvm_i8.ptr_type(AddressSpace::default());
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let align_ty = align_ty.into();
|
||||
|
||||
let size = ctx.builder.build_int_truncate_or_bit_cast(size, llvm_usize, "").unwrap();
|
||||
|
||||
debug_assert_eq!(
|
||||
size.get_type().get_bit_width(),
|
||||
llvm_usize.get_bit_width(),
|
||||
"Expected size_t ({}) for parameter `size` of `aligned_alloca`, got {}",
|
||||
llvm_usize,
|
||||
size.get_type(),
|
||||
);
|
||||
|
||||
let alignment = get_type_alignment(align_ty);
|
||||
let alignment = ctx.builder.build_int_truncate_or_bit_cast(alignment, llvm_usize, "").unwrap();
|
||||
|
||||
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
|
||||
let alignment_bitcount = llvm_intrinsics::call_int_ctpop(ctx, alignment, None);
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
ctx.builder
|
||||
.build_int_compare(
|
||||
IntPredicate::EQ,
|
||||
alignment_bitcount,
|
||||
alignment_bitcount.get_type().const_int(1, false),
|
||||
"",
|
||||
)
|
||||
.unwrap(),
|
||||
"0:AssertionError",
|
||||
"Expected power-of-two alignment for aligned_alloca, got {0}",
|
||||
[Some(alignment), None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
}
|
||||
|
||||
let buffer_size = round_up(ctx, size, alignment);
|
||||
let aligned_slices = ctx.builder.build_int_unsigned_div(buffer_size, alignment, "").unwrap();
|
||||
|
||||
// Just to be absolutely sure, alloca in [i8 x alignment] slices
|
||||
let buffer = ctx.builder.build_array_alloca(align_ty, aligned_slices, "").unwrap();
|
||||
|
||||
ctx.builder
|
||||
.build_bit_cast(buffer, llvm_pi8, name.unwrap_or_default())
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
118
nac3core/src/codegen/model/core.rs
Normal file
118
nac3core/src/codegen/model/core.rs
Normal file
@ -0,0 +1,118 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicTypeEnum},
|
||||
values::{AnyValue, AnyValueEnum, BasicValueEnum, PointerValue},
|
||||
};
|
||||
|
||||
use crate::codegen::{CodeGenContext, CodeGenerator};
|
||||
|
||||
use super::{slice::ArraySlice, Int, Pointer};
|
||||
|
||||
/// A value that belongs to/produced by a [`Model<'ctx>`]
|
||||
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 [`Self::Value`].
|
||||
///
|
||||
/// Panics if `value` cannot pass [`CanCheckLLVMType::check_llvm_type()`].
|
||||
fn review(&self, ctx: &'ctx Context, value: AnyValueEnum<'ctx>) -> Self::Value;
|
||||
|
||||
/// Check if [`Self::Value`] has the correct type described by this [`Model<'ctx>`]
|
||||
///
|
||||
/// For example:
|
||||
/// ```ignore
|
||||
/// let ctx: &CodeGenContext<'ctx, '_>;
|
||||
/// let my_i32 = IntModel(ctx.ctx.i32_type());
|
||||
/// let my_i64 = IntModel(ctx.ctx.i64_type());
|
||||
/// let value1 = my_i32.constant(3);
|
||||
/// let value2 = my_i64.constant(3);
|
||||
/// // Both value1 and value2 have type `IntModel<'ctx>`!
|
||||
/// // There is no type constraints to tell which value has what int type.
|
||||
/// my_i32.check(value1); // ok
|
||||
/// my_i64.check(value2); // ok
|
||||
///
|
||||
/// my_i32.check(value2); // PANIC
|
||||
/// my_i64.check(value1); // PANIC
|
||||
/// ```
|
||||
fn check(&self, ctx: &'ctx Context, value: Self::Value) {
|
||||
self.review(ctx, value.get_llvm_value().as_any_value_enum());
|
||||
}
|
||||
|
||||
/// 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(),
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
/// Do [`CodeGenerator::gen_var_alloc`] with the LLVM type of this [`Model<'ctx>`].
|
||||
fn var_alloc<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&str>,
|
||||
) -> Result<Pointer<'ctx, Self>, String> {
|
||||
let value = generator.gen_var_alloc(ctx, self.get_llvm_type(ctx.ctx), name)?;
|
||||
Ok(Pointer { element: *self, value })
|
||||
}
|
||||
|
||||
/// Do [`CodeGenerator::gen_array_var_alloc`] with the LLVM type of this [`Model<'ctx>`].
|
||||
fn array_var_alloc<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
size: Int<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Result<Pointer<'ctx, Self>, String> {
|
||||
let slice =
|
||||
generator.gen_array_var_alloc(ctx, self.get_llvm_type(ctx.ctx), size.0, name)?;
|
||||
let ptr = PointerValue::from(slice); // TODO: Remove ArraySliceValue
|
||||
|
||||
Ok(Pointer { element: *self, value: ptr })
|
||||
}
|
||||
}
|
159
nac3core/src/codegen/model/fixed_int.rs
Normal file
159
nac3core/src/codegen/model/fixed_int.rs
Normal file
@ -0,0 +1,159 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType},
|
||||
values::{AnyValueEnum, BasicValue, BasicValueEnum, IntValue},
|
||||
};
|
||||
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
use super::{
|
||||
core::*,
|
||||
int_util::{check_int_llvm_type, review_int_llvm_value},
|
||||
Int, IntModel,
|
||||
};
|
||||
|
||||
/// 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
|
||||
|
||||
fn constant<'ctx>(&self, ctx: &'ctx Context, value: u64) -> FixedInt<'ctx, Self> {
|
||||
FixedInt { int: *self, value: Self::get_int_type(ctx).const_int(value, false) }
|
||||
}
|
||||
}
|
||||
|
||||
// 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
|
||||
}
|
||||
}
|
||||
|
||||
/// 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);
|
||||
|
||||
// FixedIntModel's implementation
|
||||
|
||||
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<T: IsFixedInt> FixedIntModel<T> {
|
||||
pub fn to_int_model(self, ctx: &Context) -> IntModel<'_> {
|
||||
IntModel(T::get_int_type(ctx))
|
||||
}
|
||||
}
|
||||
|
||||
/// An inhabitant of [`FixedIntModel<'ctx>`]
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct FixedInt<'ctx, T: IsFixedInt> {
|
||||
pub int: T,
|
||||
pub value: IntValue<'ctx>,
|
||||
}
|
||||
|
||||
// FixedInt's Implementation
|
||||
|
||||
impl<'ctx, T: IsFixedInt> ModelValue<'ctx> for FixedInt<'ctx, T> {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx> {
|
||||
self.value.as_basic_value_enum()
|
||||
}
|
||||
}
|
||||
|
||||
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(),
|
||||
}
|
||||
}
|
||||
}
|
55
nac3core/src/codegen/model/function_builder.rs
Normal file
55
nac3core/src/codegen/model/function_builder.rs
Normal file
@ -0,0 +1,55 @@
|
||||
use inkwell::{
|
||||
types::{BasicMetadataTypeEnum, BasicType},
|
||||
values::{AnyValue, BasicMetadataValueEnum},
|
||||
};
|
||||
|
||||
use crate::codegen::{model::*, CodeGenContext};
|
||||
|
||||
// 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() }
|
||||
}
|
||||
|
||||
// NOTE: `_name` is for self-documentation
|
||||
#[must_use]
|
||||
pub fn arg<M: Model<'ctx>>(mut self, _name: &'static str, model: M, value: M::Value) -> Self {
|
||||
model.check(self.ctx.ctx, value); // Panics if the passed `value` has the incorrect type.
|
||||
|
||||
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();
|
||||
}
|
||||
}
|
97
nac3core/src/codegen/model/int.rs
Normal file
97
nac3core/src/codegen/model/int.rs
Normal file
@ -0,0 +1,97 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyType, AnyTypeEnum, BasicType, BasicTypeEnum, IntType},
|
||||
values::{AnyValueEnum, BasicValue, BasicValueEnum, IntValue},
|
||||
};
|
||||
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
use super::{core::*, int_util::check_int_llvm_type, FixedInt, IsFixedInt};
|
||||
|
||||
/// 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>);
|
||||
|
||||
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> 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()
|
||||
}
|
||||
}
|
||||
|
||||
/// An inhabitant of an [`IntModel<'ctx>`]
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Int<'ctx>(pub IntValue<'ctx>);
|
||||
|
||||
impl<'ctx> ModelValue<'ctx> for Int<'ctx> {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx> {
|
||||
self.0.as_basic_value_enum()
|
||||
}
|
||||
}
|
||||
|
||||
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(),
|
||||
}
|
||||
}
|
||||
}
|
39
nac3core/src/codegen/model/int_util.rs
Normal file
39
nac3core/src/codegen/model/int_util.rs
Normal file
@ -0,0 +1,39 @@
|
||||
use inkwell::{
|
||||
types::{AnyType, AnyTypeEnum, IntType},
|
||||
values::{AnyValueEnum, IntValue},
|
||||
};
|
||||
|
||||
/// Helper function to check if `scrutinee` is the same as `expected_int_type`
|
||||
pub 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`].
|
||||
pub 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())
|
||||
}
|
18
nac3core/src/codegen/model/mod.rs
Normal file
18
nac3core/src/codegen/model/mod.rs
Normal file
@ -0,0 +1,18 @@
|
||||
pub mod core;
|
||||
pub mod fixed_int;
|
||||
pub mod function_builder;
|
||||
pub mod int;
|
||||
mod int_util;
|
||||
pub mod opaque;
|
||||
pub mod pointer;
|
||||
pub mod slice;
|
||||
pub mod structure;
|
||||
|
||||
pub use core::*;
|
||||
pub use fixed_int::*;
|
||||
pub use function_builder::*;
|
||||
pub use int::*;
|
||||
pub use opaque::*;
|
||||
pub use pointer::*;
|
||||
pub use slice::*;
|
||||
pub use structure::*;
|
46
nac3core/src/codegen/model/opaque.rs
Normal file
46
nac3core/src/codegen/model/opaque.rs
Normal file
@ -0,0 +1,46 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicTypeEnum},
|
||||
values::{AnyValueEnum, BasicValueEnum},
|
||||
};
|
||||
|
||||
use super::*;
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct OpaqueModel<'ctx>(pub BasicTypeEnum<'ctx>);
|
||||
|
||||
impl<'ctx> CanCheckLLVMType<'ctx> for OpaqueModel<'ctx> {
|
||||
fn check_llvm_type(
|
||||
&self,
|
||||
_ctx: &'ctx Context,
|
||||
scrutinee: AnyTypeEnum<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
match BasicTypeEnum::try_from(scrutinee) {
|
||||
Ok(_) => Ok(()),
|
||||
Err(_err) => Err(format!("Expecting a BasicTypeEnum, but got {scrutinee:?}")),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> Model<'ctx> for OpaqueModel<'ctx> {
|
||||
type Value = Opaque<'ctx>;
|
||||
|
||||
fn get_llvm_type(&self, _ctx: &'ctx Context) -> BasicTypeEnum<'ctx> {
|
||||
self.0
|
||||
}
|
||||
|
||||
fn review(&self, ctx: &'ctx Context, value: AnyValueEnum<'ctx>) -> Self::Value {
|
||||
self.check_llvm_type(ctx, value.get_type()).unwrap();
|
||||
let value = BasicValueEnum::try_from(value).unwrap(); // Must work
|
||||
Opaque(value)
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Opaque<'ctx>(pub BasicValueEnum<'ctx>);
|
||||
|
||||
impl<'ctx> ModelValue<'ctx> for Opaque<'ctx> {
|
||||
fn get_llvm_value(&self) -> BasicValueEnum<'ctx> {
|
||||
self.0
|
||||
}
|
||||
}
|
83
nac3core/src/codegen/model/pointer.rs
Normal file
83
nac3core/src/codegen/model/pointer.rs
Normal file
@ -0,0 +1,83 @@
|
||||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum},
|
||||
values::{AnyValue, AnyValueEnum, BasicValue, BasicValueEnum, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use crate::codegen::CodeGenContext;
|
||||
|
||||
use super::{core::*, OpaqueModel};
|
||||
|
||||
/// 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>> 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 inkwell LLVM 14 at least...
|
||||
Pointer { element: self.0, value: value.into_pointer_value() }
|
||||
}
|
||||
}
|
||||
|
||||
/// An inhabitant of [`PointerModel<E>`]
|
||||
#[derive(Debug, Clone, Copy)]
|
||||
pub struct Pointer<'ctx, E: Model<'ctx>> {
|
||||
pub element: E,
|
||||
pub value: PointerValue<'ctx>,
|
||||
}
|
||||
|
||||
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, ctx: &'ctx Context) -> Pointer<'ctx, OpaqueModel<'ctx>> {
|
||||
Pointer { element: OpaqueModel(self.element.get_llvm_type(ctx)), value: self.value }
|
||||
}
|
||||
}
|
73
nac3core/src/codegen/model/slice.rs
Normal file
73
nac3core/src/codegen/model/slice.rs
Normal file
@ -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)
|
||||
}
|
||||
}
|
219
nac3core/src/codegen/model/structure.rs
Normal file
219
nac3core/src/codegen/model/structure.rs
Normal file
@ -0,0 +1,219 @@
|
||||
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,
|
||||
}
|
||||
|
||||
struct FieldLLVM<'ctx> {
|
||||
gep_index: u64,
|
||||
name: &'ctx str,
|
||||
llvm_type: BasicTypeEnum<'ctx>,
|
||||
|
||||
// Only CanCheckLLVMType is needed, dont use `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, Default)]
|
||||
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>;
|
||||
|
||||
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 }
|
||||
}
|
||||
}
|
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@ -1,41 +1,39 @@
|
||||
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::{ndarray::NDArrayType, ListType, ProxyType, RangeType},
|
||||
CodeGenContext, CodeGenLLVMOptions, CodeGenTargetMachineOptions, CodeGenTask, CodeGenerator,
|
||||
DefaultCodeGenerator, WithCall, WorkerRegistry,
|
||||
};
|
||||
use crate::{
|
||||
codegen::{
|
||||
classes::{ListType, NDArrayType, ProxyType, RangeType},
|
||||
concrete_type::ConcreteTypeStore,
|
||||
CodeGenContext, CodeGenLLVMOptions, CodeGenTargetMachineOptions, CodeGenTask,
|
||||
CodeGenerator, DefaultCodeGenerator, WithCall, WorkerRegistry,
|
||||
},
|
||||
symbol_resolver::{SymbolResolver, ValueEnum},
|
||||
toplevel::{
|
||||
composer::{ComposerConfig, TopLevelComposer},
|
||||
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>,
|
||||
id_to_def: RwLock<HashMap<StrRef, DefinitionId>>,
|
||||
class_names: HashMap<StrRef, Type>,
|
||||
}
|
||||
|
||||
impl Resolver {
|
||||
@ -66,7 +64,6 @@ impl SymbolResolver for Resolver {
|
||||
&self,
|
||||
_: StrRef,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
_: &mut dyn CodeGenerator,
|
||||
) -> Option<ValueEnum<'ctx>> {
|
||||
unimplemented!()
|
||||
}
|
||||
@ -97,31 +94,23 @@ 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());
|
||||
unifier.top_level = Some(top_level.clone());
|
||||
|
||||
let resolver =
|
||||
Arc::new(Resolver { id_to_type: HashMap::new(), id_to_def: RwLock::new(HashMap::new()) })
|
||||
as Arc<dyn SymbolResolver + Send + Sync>;
|
||||
let resolver = Arc::new(Resolver {
|
||||
id_to_type: HashMap::new(),
|
||||
id_to_def: RwLock::new(HashMap::new()),
|
||||
class_names: HashMap::default(),
|
||||
}) as Arc<dyn SymbolResolver + Send + Sync>;
|
||||
|
||||
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(),
|
||||
@ -139,8 +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,
|
||||
@ -201,8 +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 {
|
||||
@ -260,19 +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(),
|
||||
};
|
||||
@ -295,7 +276,11 @@ fn test_simple_call() {
|
||||
loc: None,
|
||||
})));
|
||||
|
||||
let resolver = Resolver { id_to_type: HashMap::new(), id_to_def: RwLock::new(HashMap::new()) };
|
||||
let resolver = Resolver {
|
||||
id_to_type: HashMap::new(),
|
||||
id_to_def: RwLock::new(HashMap::new()),
|
||||
class_names: HashMap::default(),
|
||||
};
|
||||
resolver.add_id_def("foo".into(), DefinitionId(foo_id));
|
||||
let resolver = Arc::new(resolver) as Arc<dyn SymbolResolver + Send + Sync>;
|
||||
|
||||
@ -315,8 +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,
|
||||
@ -384,8 +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 {
|
||||
@ -445,7 +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]
|
||||
@ -453,7 +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]
|
||||
@ -464,6 +446,6 @@ fn test_classes_ndarray_type_new() {
|
||||
let llvm_i32 = ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(&ctx);
|
||||
|
||||
let llvm_ndarray = NDArrayType::new(&generator, &ctx, llvm_i32.into(), 2);
|
||||
assert!(NDArrayType::is_representable(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
|
||||
let llvm_ndarray = NDArrayType::new(&generator, &ctx, llvm_i32.into());
|
||||
assert!(NDArrayType::is_type(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
|
||||
}
|
||||
|
@ -1,357 +0,0 @@
|
||||
use inkwell::{
|
||||
context::{AsContextRef, Context},
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace, IntPredicate, OptimizationLevel,
|
||||
};
|
||||
use itertools::Itertools;
|
||||
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
use super::ProxyType;
|
||||
use crate::{
|
||||
codegen::{
|
||||
types::structure::{
|
||||
check_struct_type_matches_fields, FieldIndexCounter, StructField, StructFields,
|
||||
},
|
||||
values::{ListValue, ProxyValue},
|
||||
CodeGenContext, CodeGenerator,
|
||||
},
|
||||
typecheck::typedef::{iter_type_vars, Type, TypeEnum},
|
||||
};
|
||||
|
||||
/// Proxy type for a `list` type in LLVM.
|
||||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct ListType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
item: Option<BasicTypeEnum<'ctx>>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct ListStructFields<'ctx> {
|
||||
/// Array pointer to content.
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
pub items: StructField<'ctx, PointerValue<'ctx>>,
|
||||
|
||||
/// Number of items in the array.
|
||||
#[value_type(usize)]
|
||||
pub len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> ListStructFields<'ctx> {
|
||||
#[must_use]
|
||||
pub fn new_typed(item: BasicTypeEnum<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
|
||||
let mut counter = FieldIndexCounter::default();
|
||||
|
||||
ListStructFields {
|
||||
items: StructField::create(
|
||||
&mut counter,
|
||||
"items",
|
||||
item.ptr_type(AddressSpace::default()),
|
||||
),
|
||||
len: StructField::create(&mut counter, "len", llvm_usize),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
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 ctx = llvm_ty.get_context();
|
||||
|
||||
let llvm_ty = llvm_ty.get_element_type();
|
||||
let AnyTypeEnum::StructType(llvm_ty) = llvm_ty else {
|
||||
return Err(format!("Expected struct type for `list` type, got {llvm_ty}"));
|
||||
};
|
||||
|
||||
let fields = ListStructFields::new(ctx, llvm_usize);
|
||||
|
||||
check_struct_type_matches_fields(
|
||||
fields,
|
||||
llvm_ty,
|
||||
"list",
|
||||
&[(fields.items.name(), &|ty| {
|
||||
if ty.is_pointer_type() {
|
||||
Ok(())
|
||||
} else {
|
||||
Err(format!("Expected T* for `list.items`, got {ty}"))
|
||||
}
|
||||
})],
|
||||
)
|
||||
}
|
||||
|
||||
/// Returns an instance of [`StructFields`] containing all field accessors for this type.
|
||||
#[must_use]
|
||||
fn fields(item: BasicTypeEnum<'ctx>, llvm_usize: IntType<'ctx>) -> ListStructFields<'ctx> {
|
||||
ListStructFields::new_typed(item, llvm_usize)
|
||||
}
|
||||
|
||||
/// See [`ListType::fields`].
|
||||
// TODO: Move this into e.g. StructProxyType
|
||||
#[must_use]
|
||||
pub fn get_fields(&self, _ctx: &impl AsContextRef<'ctx>) -> ListStructFields<'ctx> {
|
||||
Self::fields(self.item.unwrap_or(self.llvm_usize.into()), self.llvm_usize)
|
||||
}
|
||||
|
||||
/// Creates an LLVM type corresponding to the expected structure of a `List`.
|
||||
#[must_use]
|
||||
fn llvm_type(
|
||||
ctx: &'ctx Context,
|
||||
element_type: Option<BasicTypeEnum<'ctx>>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
) -> PointerType<'ctx> {
|
||||
let element_type = element_type.unwrap_or(llvm_usize.into());
|
||||
|
||||
let field_tys =
|
||||
Self::fields(element_type, llvm_usize).into_iter().map(|field| field.1).collect_vec();
|
||||
|
||||
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, Some(element_type), llvm_usize);
|
||||
|
||||
Self { ty: llvm_list, item: Some(element_type), llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an instance of [`ListType`] with an unknown element type.
|
||||
#[must_use]
|
||||
pub fn new_untyped<G: CodeGenerator + ?Sized>(generator: &G, ctx: &'ctx Context) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_list = Self::llvm_type(ctx, None, llvm_usize);
|
||||
|
||||
Self { ty: llvm_list, item: None, llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an [`ListType`] from a [unifier type][Type].
|
||||
#[must_use]
|
||||
pub fn from_unifier_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ty: Type,
|
||||
) -> Self {
|
||||
// Check unifier type and extract `item_type`
|
||||
let elem_type = match &*ctx.unifier.get_ty_immutable(ty) {
|
||||
TypeEnum::TObj { obj_id, params, .. }
|
||||
if *obj_id == ctx.primitives.list.obj_id(&ctx.unifier).unwrap() =>
|
||||
{
|
||||
iter_type_vars(params).next().unwrap().ty
|
||||
}
|
||||
|
||||
_ => panic!("Expected `list` type, but got {}", ctx.unifier.stringify(ty)),
|
||||
};
|
||||
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_elem_type = if let TypeEnum::TVar { .. } = &*ctx.unifier.get_ty_immutable(ty) {
|
||||
None
|
||||
} else {
|
||||
Some(ctx.get_llvm_type(generator, elem_type))
|
||||
};
|
||||
|
||||
Self {
|
||||
ty: Self::llvm_type(ctx.ctx, llvm_elem_type, llvm_usize),
|
||||
item: llvm_elem_type,
|
||||
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());
|
||||
|
||||
let ctx = ptr_ty.get_context();
|
||||
|
||||
// We are just searching for the index off a field - Slot an arbitrary element type in.
|
||||
let item_field_idx =
|
||||
Self::fields(ctx.i8_type().into(), llvm_usize).index_of_field(|f| f.items);
|
||||
let item = unsafe {
|
||||
ptr_ty
|
||||
.get_element_type()
|
||||
.into_struct_type()
|
||||
.get_field_type_at_index_unchecked(item_field_idx)
|
||||
.into_pointer_type()
|
||||
.get_element_type()
|
||||
};
|
||||
let item = BasicTypeEnum::try_from(item).unwrap_or_else(|()| {
|
||||
panic!(
|
||||
"Expected BasicTypeEnum for list element type, got {}",
|
||||
ptr_ty.get_element_type().print_to_string()
|
||||
)
|
||||
});
|
||||
|
||||
ListType { ty: ptr_ty, item: Some(item), llvm_usize }
|
||||
}
|
||||
|
||||
/// Returns the type of the `size` field of this `list` type.
|
||||
#[must_use]
|
||||
pub fn size_type(&self) -> IntType<'ctx> {
|
||||
self.llvm_usize
|
||||
}
|
||||
|
||||
/// Returns the element type of this `list` type.
|
||||
#[must_use]
|
||||
pub fn element_type(&self) -> Option<BasicTypeEnum<'ctx>> {
|
||||
self.item
|
||||
}
|
||||
|
||||
/// Allocates an instance of [`ListValue`] as if by calling `alloca` on the base type.
|
||||
///
|
||||
/// See [`ProxyType::raw_alloca`].
|
||||
#[must_use]
|
||||
pub fn alloca(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca(ctx, name),
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Allocates an instance of [`ListValue`] as if by calling `alloca` on the base type.
|
||||
///
|
||||
/// See [`ProxyType::raw_alloca_var`].
|
||||
#[must_use]
|
||||
pub fn alloca_var<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(
|
||||
self.raw_alloca_var(generator, ctx, name),
|
||||
self.llvm_usize,
|
||||
name,
|
||||
)
|
||||
}
|
||||
|
||||
/// Allocates a [`ListValue`] on the stack using `item` of this [`ListType`] instance.
|
||||
///
|
||||
/// The returned list will contain:
|
||||
///
|
||||
/// - `data`: Allocated with `len` number of elements.
|
||||
/// - `len`: Initialized to the value of `len` passed to this function.
|
||||
#[must_use]
|
||||
pub fn construct<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
len: IntValue<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
let len = ctx.builder.build_int_z_extend(len, self.llvm_usize, "").unwrap();
|
||||
|
||||
// Generate a runtime assertion if allocating a non-empty list with unknown element type
|
||||
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None && self.item.is_none() {
|
||||
let len_eqz = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::EQ, len, self.llvm_usize.const_zero(), "")
|
||||
.unwrap();
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
len_eqz,
|
||||
"0:AssertionError",
|
||||
"Cannot allocate a non-empty list with unknown element type",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
}
|
||||
|
||||
let plist = self.alloca_var(generator, ctx, name);
|
||||
plist.store_size(ctx, generator, len);
|
||||
|
||||
let item = self.item.unwrap_or(self.llvm_usize.into());
|
||||
plist.create_data(ctx, item, None);
|
||||
|
||||
plist
|
||||
}
|
||||
|
||||
/// Convenience function for creating a list with zero elements.
|
||||
///
|
||||
/// This function is preferred over [`ListType::construct`] if the length is known to always be
|
||||
/// 0, as this function avoids injecting an IR assertion for checking if a non-empty untyped
|
||||
/// list is being allocated.
|
||||
///
|
||||
/// The returned list will contain:
|
||||
///
|
||||
/// - `data`: Initialized to `(T*) 0`.
|
||||
/// - `len`: Initialized to `0`.
|
||||
#[must_use]
|
||||
pub fn construct_empty<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
let plist = self.alloca_var(generator, ctx, name);
|
||||
|
||||
plist.store_size(ctx, generator, self.llvm_usize.const_zero());
|
||||
plist.create_data(ctx, self.item.unwrap_or(self.llvm_usize.into()), None);
|
||||
|
||||
plist
|
||||
}
|
||||
|
||||
/// Converts an existing value into a [`ListValue`].
|
||||
#[must_use]
|
||||
pub fn map_value(
|
||||
&self,
|
||||
value: <<Self as ProxyType<'ctx>>::Value as ProxyValue<'ctx>>::Base,
|
||||
name: Option<&'ctx str>,
|
||||
) -> <Self as ProxyType<'ctx>>::Value {
|
||||
<Self as ProxyType<'ctx>>::Value::from_pointer_value(value, self.llvm_usize, name)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyType<'ctx> for ListType<'ctx> {
|
||||
type Base = PointerType<'ctx>;
|
||||
type Value = ListValue<'ctx>;
|
||||
|
||||
fn is_type<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: impl BasicType<'ctx>,
|
||||
) -> Result<(), String> {
|
||||
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
|
||||
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
|
||||
} else {
|
||||
Err(format!("Expected pointer type, got {llvm_ty:?}"))
|
||||
}
|
||||
}
|
||||
|
||||
fn is_representable<G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &'ctx Context,
|
||||
llvm_ty: Self::Base,
|
||||
) -> Result<(), String> {
|
||||
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
|
||||
}
|
||||
|
||||
fn alloca_type(&self) -> impl BasicType<'ctx> {
|
||||
self.as_base_type().get_element_type().into_struct_type()
|
||||
}
|
||||
|
||||
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()
|
||||
}
|
||||
}
|
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue
Block a user