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M-Labs:ndstrides
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M-Labs:misc/mold
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M-Labs:refactor_anto

23 Commits
41fb27c913 ... 2d8b7a262c

Author SHA1 Message Date
David Mak 2d8b7a262c [core] coregen/types: Implement StructFields for NDArray 
Also rename some fields to better align with their naming in numpy.
 2024-11-19 13:46:25 +08:00
David Mak c50ed30f75 [core] codegen/types: Implement NDArray in terms of i8* 
Better aligns with the future implementation of ndstrides.
 2024-11-19 13:46:25 +08:00
David Mak 23a8bcb711 [core] irrt: Break IRRT into several impl files 
Each IRRT file is now mapped to one Rust file.
 2024-11-19 13:46:25 +08:00
David Mak 900150def3 [core] irrt: Update some IRRT implementation 
- Change CSlice to use `void*` for better pointer compatibility
- Remove __STDC_VERSION__ guard
- Only include impl *.hpp files in irrt.cpp
- Refactor typedef to using declaration
- Add missing ``// namespace`
 2024-11-19 13:46:25 +08:00
David Mak 4df1ec3282 [core] codegen: Add dtype to NDArrayType 
We won't have this once NDArray is refactored to strided impl.
 2024-11-19 13:46:25 +08:00
David Mak f276547800 [core] codegen: Add Self::llvm_type to all type abstractions 2024-11-19 13:46:25 +08:00
lyken 1787c9cfc9 core/irrt: fix exception.hpp C++ castings 2024-11-19 13:46:25 +08:00
lyken e6296d5e32 core/toplevel/helper: add {extract,create}_ndims 2024-11-19 13:46:25 +08:00
David Mak 6b24ef2a11 [core_derive] Initial implementation 2024-11-19 13:46:25 +08:00
David Mak d7633c42bc [core] codegen/types: Implement StructField{,s} 
Loosely based on FieldTraversal by lyken.
 2024-11-19 13:46:25 +08:00
David Mak a4f53b6e6b [core] codegen: Refactor ProxyType and ProxyValue 
Accepts generator+context object for generic type checking. Also
implements more default trait impl for easier delegation.
 2024-11-19 13:46:25 +08:00
David Mak 9d9ead211e [core] Move Proxies to their own modules 2024-11-19 13:46:23 +08:00
David Mak 26a1b85206 [core] codegen/classes: Remove Underlying type 
This is confusing and we want a better abstraction than this.
 2024-11-19 13:45:55 +08:00
David Mak 2822074b2d [meta] Cleanup from upgrading Rust version 
- Remove rust_2024_edition warnings, since it wouldn't be released for
another 3 months
- Fix new clippy warnings
 2024-11-19 13:43:57 +08:00
David Mak fe67ed076c [meta] Update pre-commit configuration 2024-11-19 13:20:27 +08:00
David Mak 94e2414df0 [meta] Update cargo dependencies 2024-11-19 13:20:26 +08:00
Sebastien Bourdeauducq 2cee760404 turn rust_2024_compatibility lints into warnings 2024-11-16 13:41:49 +08:00
Sebastien Bourdeauducq 230982dc84 update dependencies 2024-11-16 12:40:11 +08:00
occheung 2bd3f63991 boolop: terminate both branches with *_end_bb 2024-11-16 12:06:20 +08:00
occheung b53266e9e6 artiq: use async RPC for attributes writeback 2024-11-12 12:04:01 +08:00
occheung 86eb22bbf3 artiq: main is always the last module 2024-11-12 12:03:38 +08:00
occheung beaa38047d artiq: suppress main module debug warning 2024-11-12 12:03:08 +08:00
occheung 705dc4ff1c artiq: lump return value into attributes writeback RPC 2024-11-12 12:02:35 +08:00
55 changed files with 4085 additions and 2958 deletions
Show Stats Expand all files Collapse all files

2
.pre-commit-config.yaml
View File

@ -1,7 +1,7 @@
# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
default_stages: [commit]
default_stages: [pre-commit]
repos:
- repo: local

230
Cargo.lock generated
View File

@ -26,9 +26,9 @@ dependencies = [
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@ -170,14 +170,14 @@ dependencies = [
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@ -321,9 +327,9 @@ dependencies = [
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@ -370,6 +376,12 @@ dependencies = [
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@ -387,9 +399,9 @@ dependencies = [
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@ -429,7 +441,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
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@ -460,7 +472,7 @@ checksum = "9dd28cfd4cfba665d47d31c08a6ba637eed16770abca2eccbbc3ca831fef1e44"
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@ -547,9 +559,9 @@ checksum = "bbd2bcb4c963f2ddae06a2efc7e9f3591312473c50c6685e1f298068316e66fe"
[[package]]
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@ -648,6 +660,7 @@ dependencies = [
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"rayon",
@ -657,6 +670,18 @@ dependencies = [
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[[package]]
name = "nac3core_derive"
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@ -774,7 +799,7 @@ dependencies = [
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@ -878,7 +927,7 @@ dependencies = [
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]
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@ -891,7 +940,7 @@ dependencies = [
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[[package]]
name = "trybuild"
version = "1.0.101"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "8dcd332a5496c026f1e14b7f3d2b7bd98e509660c04239c58b0ba38a12daded4"
dependencies = [
"dissimilar",
"glob",
"serde",
"serde_derive",
"serde_json",
"target-triple",
"termcolor",
"toml",
]
[[package]]
@ -1478,6 +1601,15 @@ version = "0.52.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
[[package]]
name = "winnow"
version = "0.6.20"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "36c1fec1a2bb5866f07c25f68c26e565c4c200aebb96d7e55710c19d3e8ac49b"
dependencies = [
"memchr",
]
[[package]]
name = "yaml-rust"
version = "0.4.5"
@ -1505,5 +1637,5 @@ checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.85",
"syn 2.0.87",
]

1
Cargo.toml
View File

@ -4,6 +4,7 @@ members = [
"nac3ast",
"nac3parser",
"nac3core",
"nac3core/nac3core_derive",
"nac3standalone",
"nac3artiq",
"runkernel",

6
flake.lock
View File

@ -2,11 +2,11 @@
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1727348695,
"narHash": "sha256-J+PeFKSDV+pHL7ukkfpVzCOO7mBSrrpJ3svwBFABbhI=",
"lastModified": 1731319897,
"narHash": "sha256-PbABj4tnbWFMfBp6OcUK5iGy1QY+/Z96ZcLpooIbuEI=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "1925c603f17fc89f4c8f6bf6f631a802ad85d784",
"rev": "dc460ec76cbff0e66e269457d7b728432263166c",
"type": "github"
},
"original": {

46
nac3artiq/src/codegen.rs
View File

@ -14,14 +14,15 @@ use pyo3::{
use nac3core::{
codegen::{
classes::{
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayType,
NDArrayValue, ProxyType, ProxyValue, RangeValue, UntypedArrayLikeAccessor,
},
expr::{destructure_range, gen_call},
irrt::call_ndarray_calc_size,
llvm_intrinsics::{call_int_smax, call_memcpy_generic, call_stackrestore, call_stacksave},
stmt::{gen_block, gen_for_callback_incrementing, gen_if_callback, gen_with},
types::{NDArrayType, ProxyType},
values::{
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue, ProxyValue,
RangeValue, UntypedArrayLikeAccessor,
},
CodeGenContext, CodeGenerator,
},
inkwell::{
@ -460,7 +461,7 @@ fn format_rpc_arg<'ctx>(
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, arg_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let llvm_arg_ty = NDArrayType::new(generator, ctx.ctx, llvm_elem_ty);
let llvm_arg = NDArrayValue::from_ptr_val(arg.into_pointer_value(), llvm_usize, None);
let llvm_arg = llvm_arg_ty.map_value(arg.into_pointer_value(), None);
let llvm_usize_sizeof = ctx
.builder
@ -497,7 +498,7 @@ fn format_rpc_arg<'ctx>(
call_memcpy_generic(
ctx,
pbuffer_dims_begin,
llvm_arg.dim_sizes().base_ptr(ctx, generator),
llvm_arg.shape().base_ptr(ctx, generator),
dims_buf_sz,
llvm_i1.const_zero(),
);
@ -611,7 +612,7 @@ fn format_rpc_ret<'ctx>(
// Set `ndarray.ndims`
ndarray.store_ndims(ctx, generator, llvm_usize.const_int(ndims, false));
// Allocate `ndarray.shape` [size_t; ndims]
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray.load_ndims(ctx));
ndarray.create_shape(ctx, llvm_usize, ndarray.load_ndims(ctx));
/*
ndarray now:
@ -701,7 +702,7 @@ fn format_rpc_ret<'ctx>(
call_memcpy_generic(
ctx,
ndarray.dim_sizes().base_ptr(ctx, generator),
ndarray.shape().base_ptr(ctx, generator),
pbuffer_dims,
sizeof_dims,
llvm_i1.const_zero(),
@ -713,7 +714,7 @@ fn format_rpc_ret<'ctx>(
// `ndarray.shape` must be initialized beforehand in this implementation
// (for ndarray.create_data() to know how many elements to allocate)
let num_elements =
call_ndarray_calc_size(generator, ctx, &ndarray.dim_sizes(), (None, None));
call_ndarray_calc_size(generator, ctx, &ndarray.shape(), (None, None));
// debug_assert(nelems * sizeof(T) >= ndarray_nbytes)
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
@ -990,11 +991,12 @@ fn rpc_codegen_callback_fn<'ctx>(
}
}
pub fn attributes_writeback(
ctx: &mut CodeGenContext<'_, '_>,
pub fn attributes_writeback<'ctx>(
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut dyn CodeGenerator,
inner_resolver: &InnerResolver,
host_attributes: &PyObject,
return_obj: Option<(Type, ValueEnum<'ctx>)>,
) -> Result<(), String> {
Python::with_gil(|py| -> PyResult<Result<(), String>> {
let host_attributes: &PyList = host_attributes.downcast(py)?;
@ -1004,6 +1006,11 @@ pub fn attributes_writeback(
let zero = int32.const_zero();
let mut values = Vec::new();
let mut scratch_buffer = Vec::new();
if let Some((ty, obj)) = return_obj {
values.push((ty, obj.to_basic_value_enum(ctx, generator, ty).unwrap()));
}
for val in (*globals).values() {
let val = val.as_ref(py);
let ty = inner_resolver.get_obj_type(
@ -1082,7 +1089,7 @@ pub fn attributes_writeback(
let args: Vec<_> =
values.into_iter().map(|(_, val)| (None, ValueEnum::Dynamic(val))).collect();
if let Err(e) =
rpc_codegen_callback_fn(ctx, None, (&fun, PrimDef::Int32.id()), args, generator, false)
rpc_codegen_callback_fn(ctx, None, (&fun, PrimDef::Int32.id()), args, generator, true)
{
return Ok(Err(e));
}
@ -1308,7 +1315,8 @@ fn polymorphic_print<'ctx>(
fmt.push('[');
flush(ctx, generator, &mut fmt, &mut args);
let val = ListValue::from_ptr_val(value.into_pointer_value(), llvm_usize, None);
let val =
ListValue::from_pointer_value(value.into_pointer_value(), llvm_usize, None);
let len = val.load_size(ctx, None);
let last =
ctx.builder.build_int_sub(len, llvm_usize.const_int(1, false), "").unwrap();
@ -1360,12 +1368,18 @@ fn polymorphic_print<'ctx>(
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
fmt.push_str("array([");
flush(ctx, generator, &mut fmt, &mut args);
let val = NDArrayValue::from_ptr_val(value.into_pointer_value(), llvm_usize, None);
let len = call_ndarray_calc_size(generator, ctx, &val.dim_sizes(), (None, None));
let val = NDArrayValue::from_pointer_value(
value.into_pointer_value(),
llvm_elem_ty,
llvm_usize,
None,
);
let len = call_ndarray_calc_size(generator, ctx, &val.shape(), (None, None));
let last =
ctx.builder.build_int_sub(len, llvm_usize.const_int(1, false), "").unwrap();
@ -1418,7 +1432,7 @@ fn polymorphic_print<'ctx>(
fmt.push_str("range(");
flush(ctx, generator, &mut fmt, &mut args);
let val = RangeValue::from_ptr_val(value.into_pointer_value(), None);
let val = RangeValue::from_pointer_value(value.into_pointer_value(), None);
let (start, stop, step) = destructure_range(ctx, val);

101
nac3artiq/src/lib.rs
View File

@ -1,10 +1,4 @@
#![deny(
future_incompatible,
let_underscore,
nonstandard_style,
rust_2024_compatibility,
clippy::all
)]
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
#![warn(clippy::pedantic)]
#![allow(
unsafe_op_in_unsafe_fn,
@ -37,12 +31,12 @@ use tempfile::{self, TempDir};
use nac3core::{
codegen::{
concrete_type::ConcreteTypeStore, gen_func_impl, irrt::load_irrt, CodeGenLLVMOptions,
CodeGenTargetMachineOptions, CodeGenTask, WithCall, WorkerRegistry,
CodeGenTargetMachineOptions, CodeGenTask, CodeGenerator, WithCall, WorkerRegistry,
},
inkwell::{
context::Context,
memory_buffer::MemoryBuffer,
module::{Linkage, Module},
module::{FlagBehavior, Linkage, Module},
passes::PassBuilderOptions,
support::is_multithreaded,
targets::*,
@ -673,33 +667,12 @@ 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: Arc::new(HashMap::default()),
calls: instance.calls,
id: 0,
};
@ -723,19 +696,27 @@ 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("attributes_writeback".to_string(), size_t, self.time_fns);
let mut generator = ArtiqCodeGenerator::new("main".to_string(), size_t, self.time_fns);
let context = Context::create();
let module = context.create_module("attributes_writeback");
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 builder = context.create_builder();
let (_, module, _) = gen_func_impl(
&context,
@ -743,9 +724,27 @@ impl Nac3 {
&registry,
builder,
module,
attributes_writeback_task,
task,
|generator, ctx| {
attributes_writeback(ctx, generator, inner_resolver.as_ref(), &host_attributes)
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,
)
},
)
.unwrap();
@ -754,35 +753,23 @@ impl Nac3 {
membuffer.lock().push(buffer);
});
embedding_map.setattr("expects_return", has_return).unwrap();
// Link all modules into `main`.
let buffers = membuffers.lock();
let main = context
.create_module_from_ir(MemoryBuffer::create_from_memory_range(&buffers[0], "main"))
.create_module_from_ir(MemoryBuffer::create_from_memory_range(
buffers.last().unwrap(),
"main",
))
.unwrap();
for buffer in buffers.iter().skip(1) {
for buffer in buffers.iter().rev().skip(1) {
let other = context
.create_module_from_ir(MemoryBuffer::create_from_memory_range(buffer, "main"))
.unwrap();
main.link_in_module(other).map_err(|err| CompileError::new_err(err.to_string()))?;
}
let builder = context.create_builder();
let modinit_return = main
.get_function("__modinit__")
.unwrap()
.get_last_basic_block()
.unwrap()
.get_terminator()
.unwrap();
builder.position_before(&modinit_return);
builder
.build_call(
main.get_function("attributes_writeback").unwrap(),
&[],
"attributes_writeback",
)
.unwrap();
main.link_in_module(irrt).map_err(|err| CompileError::new_err(err.to_string()))?;
let mut function_iter = main.get_first_function();

11
nac3artiq/src/symbol_resolver.rs
View File

@ -14,10 +14,7 @@ use pyo3::{
};
use nac3core::{
codegen::{
classes::{NDArrayType, ProxyType},
CodeGenContext, CodeGenerator,
},
codegen::{types::NDArrayType, CodeGenContext, CodeGenerator},
inkwell::{
module::Linkage,
types::{BasicType, BasicTypeEnum},
@ -1096,7 +1093,7 @@ impl InnerResolver {
if self.global_value_ids.read().contains_key(&id) {
let global = ctx.module.get_global(&id_str).unwrap_or_else(|| {
ctx.module.add_global(
ndarray_llvm_ty.as_underlying_type(),
ndarray_llvm_ty.element_type().into_struct_type(),
Some(AddressSpace::default()),
&id_str,
)
@ -1190,7 +1187,7 @@ impl InnerResolver {
data_global.set_initializer(&data);
// create a global for the ndarray object and initialize it
let value = ndarray_llvm_ty.as_underlying_type().const_named_struct(&[
let value = ndarray_llvm_ty.element_type().into_struct_type().const_named_struct(&[
llvm_usize.const_int(ndarray_ndims, false).into(),
shape_global
.as_pointer_value()
@ -1203,7 +1200,7 @@ impl InnerResolver {
]);
let ndarray = ctx.module.add_global(
ndarray_llvm_ty.as_underlying_type(),
ndarray_llvm_ty.element_type().into_struct_type(),
Some(AddressSpace::default()),
&id_str,
);

8
nac3ast/src/lib.rs
View File

@ -1,10 +1,4 @@
#![deny(
future_incompatible,
let_underscore,
nonstandard_style,
rust_2024_compatibility,
clippy::all
)]
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
#![warn(clippy::pedantic)]
#![allow(
clippy::missing_errors_doc,

3
nac3core/Cargo.toml
View File

@ -5,6 +5,8 @@ authors = ["M-Labs"]
edition = "2021"
[features]
default = ["derive"]
derive = ["dep:nac3core_derive"]
no-escape-analysis = []
[dependencies]
@ -13,6 +15,7 @@ crossbeam = "0.8"
indexmap = "2.6"
parking_lot = "0.12"
rayon = "1.10"
nac3core_derive = { path = "nac3core_derive", optional = true }
nac3parser = { path = "../nac3parser" }
strum = "0.26"
strum_macros = "0.26"

3
nac3core/build.rs
View File

@ -56,9 +56,8 @@ fn main() {
let output = Command::new("clang-irrt")
.args(flags)
.output()
.map(|o| {
.inspect(|o| {
assert!(o.status.success(), "{}", std::str::from_utf8(&o.stderr).unwrap());
o
})
.unwrap();

1
nac3core/irrt/irrt.cpp
View File

@ -1,5 +1,4 @@
#include "irrt/exception.hpp"
#include "irrt/int_types.hpp"
#include "irrt/list.hpp"
#include "irrt/math.hpp"
#include "irrt/ndarray.hpp"

2
nac3core/irrt/irrt/cslice.hpp
View File

@ -4,6 +4,6 @@
template<typename SizeT>
struct CSlice {
uint8_t* base;
void* base;
SizeT len;
};

13
nac3core/irrt/irrt/exception.hpp
View File

@ -6,7 +6,7 @@
/**
* @brief The int type of ARTIQ exception IDs.
*/
typedef int32_t ExceptionId;
using ExceptionId = int32_t;
/*
* Set of exceptions C++ IRRT can use.
@ -55,11 +55,14 @@ void _raise_exception_helper(ExceptionId id,
int64_t param2) {
Exception<SizeT> e = {
.id = id,
.filename = {.base = reinterpret_cast<const uint8_t*>(filename), .len = __builtin_strlen(filename)},
.filename = {.base = reinterpret_cast<void*>(const_cast<char*>(filename)),
.len = static_cast<SizeT>(__builtin_strlen(filename))},
.line = line,
.column = 0,
.function = {.base = reinterpret_cast<const uint8_t*>(function), .len = __builtin_strlen(function)},
.msg = {.base = reinterpret_cast<const uint8_t*>(msg), .len = __builtin_strlen(msg)},
.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;
@ -67,6 +70,7 @@ void _raise_exception_helper(ExceptionId id,
__nac3_raise(reinterpret_cast<void*>(&e));
__builtin_unreachable();
}
} // namespace
/**
* @brief Raise an exception with location details (location in the IRRT source files).
@ -79,4 +83,3 @@ void _raise_exception_helper(ExceptionId id,
*/
#define raise_exception(SizeT, id, msg, param0, param1, param2) \
_raise_exception_helper<SizeT>(id, __FILE__, __LINE__, __FUNCTION__, msg, param0, param1, param2)
} // namespace

9
nac3core/irrt/irrt/int_types.hpp
View File

@ -1,20 +1,11 @@
#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
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);
#endif
// NDArray indices are always `uint32_t`.
using NDIndex = uint32_t;

26
nac3core/irrt/irrt/list.hpp
View File

@ -13,12 +13,12 @@ extern "C" {
SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
SliceIndex dest_end,
SliceIndex dest_step,
uint8_t* dest_arr,
void* dest_arr,
SliceIndex dest_arr_len,
SliceIndex src_start,
SliceIndex src_end,
SliceIndex src_step,
uint8_t* src_arr,
void* src_arr,
SliceIndex src_arr_len,
const SliceIndex size) {
/* if dest_arr_len == 0, do nothing since we do not support extending list */
@ -29,11 +29,13 @@ SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
const SliceIndex src_len = (src_end >= src_start) ? (src_end - src_start + 1) : 0;
const SliceIndex dest_len = (dest_end >= dest_start) ? (dest_end - dest_start + 1) : 0;
if (src_len > 0) {
__builtin_memmove(dest_arr + dest_start * size, src_arr + src_start * size, src_len * size);
__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(dest_arr + (dest_start + src_len) * size, dest_arr + (dest_end + 1) * size,
__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 */
@ -44,7 +46,7 @@ SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
&& !(max(dest_start, dest_end) < min(src_start, src_end)
|| max(src_start, src_end) < min(dest_start, dest_end));
if (need_alloca) {
uint8_t* tmp = reinterpret_cast<uint8_t*>(__builtin_alloca(src_arr_len * size));
void* tmp = __builtin_alloca(src_arr_len * size);
__builtin_memcpy(tmp, src_arr, src_arr_len * size);
src_arr = tmp;
}
@ -53,20 +55,24 @@ SliceIndex __nac3_list_slice_assign_var_size(SliceIndex dest_start,
for (; (src_step > 0) ? (src_ind <= src_end) : (src_ind >= src_end); src_ind += src_step, dest_ind += dest_step) {
/* for constant optimization */
if (size == 1) {
__builtin_memcpy(dest_arr + dest_ind, src_arr + src_ind, 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(dest_arr + dest_ind * 4, src_arr + src_ind * 4, 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(dest_arr + dest_ind * 8, src_arr + src_ind * 8, 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(dest_arr + dest_ind * size, src_arr + src_ind * size, size);
__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(dest_arr + dest_ind * size, dest_arr + (dest_end + 1) * size,
__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;
}

2
nac3core/irrt/irrt/math.hpp
View File

@ -90,4 +90,4 @@ double __nac3_j0(double x) {
return j0(x);
}
}
} // namespace

2
nac3core/irrt/irrt/ndarray.hpp
View File

@ -141,4 +141,4 @@ void __nac3_ndarray_calc_broadcast_idx64(const uint64_t* src_dims,
NDIndex* out_idx) {
__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
}
}
} // namespace

2
nac3core/irrt/irrt/slice.hpp
View File

@ -25,4 +25,4 @@ SliceIndex __nac3_range_slice_len(const SliceIndex start, const SliceIndex end,
return 0;
}
}
}
} // namespace

21
nac3core/nac3core_derive/Cargo.toml Normal file
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@ -0,0 +1,21 @@
[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"

231
nac3core/nac3core_derive/src/lib.rs Normal file
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@ -0,0 +1,231 @@
use proc_macro::TokenStream;
use proc_macro_error::{abort, proc_macro_error};
use quote::quote;
use syn::spanned::Spanned;
use syn::{
parse_macro_input, Data, DataStruct, Expr, ExprPath, GenericArgument, Ident, LitStr,
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<_>>())
}
/// 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, .. }) => {
let Ok(ident) = path.require_ident() else {
abort!(
path,
format!(
"Expected one of `size_t`, `usize`, or an implicit call expression in #[value_type(...)], found {}",
quote!(#expr).to_string(),
)
)
};
if ident == "usize" || ident == "size_t" {
let llvm_usize = Ident::new("llvm_usize", ident.span());
quote! { #llvm_usize }
} 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(_) | Expr::MethodCall(_) => {
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 either an expression returning an instance of `inkwell::types::BasicType` without the
/// `inkwell::context::Context` instance prefix, or the reserved identifiers `usize` and `size_t` referring to an
/// `inkwell::types::IntType` of the platform-dependent integer size.
///
/// # Example
///
/// The following is an example of an LLVM slice implemented using `#[derive(StructFields)]`.
///
/// ```
/// 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*
/// #[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()
}

9
nac3core/nac3core_derive/tests/structfields_empty.rs Normal file
View File

@ -0,0 +1,9 @@
use nac3core_derive::StructFields;
use std::marker::PhantomData;
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
pub struct EmptyValue<'ctx> {
_phantom: PhantomData<&'ctx ()>,
}
fn main() {}

18
nac3core/nac3core_derive/tests/structfields_slice.rs Normal file
View File

@ -0,0 +1,18 @@
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() {}

6
nac3core/nac3core_derive/tests/structfields_test.rs Normal file
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@ -0,0 +1,6 @@
#[test]
fn test_parse_empty() {
let t = trybuild::TestCases::new();
t.pass("tests/structfields_empty.rs");
t.pass("tests/structfields_slice.rs");
}

159
nac3core/src/codegen/builtin_fns.rs
View File

@ -6,10 +6,6 @@ use inkwell::{
use itertools::Itertools;
use super::{
classes::{
ArrayLikeValue, NDArrayValue, ProxyValue, RangeValue, TypedArrayLikeAccessor,
UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
},
expr::destructure_range,
extern_fns, irrt,
irrt::calculate_len_for_slice_range,
@ -18,10 +14,17 @@ use super::{
numpy,
numpy::ndarray_elementwise_unaryop_impl,
stmt::gen_for_callback_incrementing,
values::{
ArrayLikeValue, NDArrayValue, ProxyValue, RangeValue, TypedArrayLikeAccessor,
UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
},
CodeGenContext, CodeGenerator,
};
use crate::{
toplevel::{helper::PrimDef, numpy::unpack_ndarray_var_tys},
toplevel::{
helper::{arraylike_flatten_element_type, PrimDef},
numpy::unpack_ndarray_var_tys,
},
typecheck::typedef::{Type, TypeEnum},
};
@ -47,7 +50,7 @@ pub fn call_len<'ctx, G: CodeGenerator + ?Sized>(
let (arg_ty, arg) = n;
Ok(if ctx.unifier.unioned(arg_ty, range_ty) {
let arg = RangeValue::from_ptr_val(arg.into_pointer_value(), Some("range"));
let arg = RangeValue::from_pointer_value(arg.into_pointer_value(), Some("range"));
let (start, end, step) = destructure_range(ctx, arg);
calculate_len_for_slice_range(generator, ctx, start, end, step)
} else {
@ -65,11 +68,17 @@ pub fn call_len<'ctx, G: CodeGenerator + ?Sized>(
ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
}
TypeEnum::TObj { obj_id, .. } if *obj_id == PrimDef::NDArray.id() => {
let elem_ty = arraylike_flatten_element_type(&mut ctx.unifier, arg_ty);
let llvm_usize = generator.get_size_type(ctx.ctx);
let arg = NDArrayValue::from_ptr_val(arg.into_pointer_value(), llvm_usize, None);
let arg = NDArrayValue::from_pointer_value(
arg.into_pointer_value(),
ctx.get_llvm_type(generator, elem_ty),
llvm_usize,
None,
);
let ndims = arg.dim_sizes().size(ctx, generator);
let ndims = arg.shape().size(ctx, generator);
ctx.make_assert(
generator,
ctx.builder
@ -82,12 +91,7 @@ pub fn call_len<'ctx, G: CodeGenerator + ?Sized>(
);
let len = unsafe {
arg.dim_sizes().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_zero(),
None,
)
arg.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
};
ctx.builder.build_int_truncate_or_bit_cast(len, llvm_i32, "len").unwrap()
@ -142,13 +146,14 @@ pub fn call_int32<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.int32,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_int32(generator, ctx, (elem_ty, val)),
)?;
@ -204,13 +209,14 @@ pub fn call_int64<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.int64,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_int64(generator, ctx, (elem_ty, val)),
)?;
@ -282,13 +288,14 @@ pub fn call_uint32<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.uint32,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_uint32(generator, ctx, (elem_ty, val)),
)?;
@ -349,13 +356,14 @@ pub fn call_uint64<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.uint64,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_uint64(generator, ctx, (elem_ty, val)),
)?;
@ -415,13 +423,14 @@ pub fn call_float<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.float,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_float(generator, ctx, (elem_ty, val)),
)?;
@ -461,13 +470,14 @@ pub fn call_round<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ret_elem_ty,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_round(generator, ctx, (elem_ty, val), ret_elem_ty),
)?;
@ -501,13 +511,14 @@ pub fn call_numpy_round<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.float,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_numpy_round(generator, ctx, (elem_ty, val)),
)?;
@ -566,13 +577,14 @@ pub fn call_bool<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ctx.primitives.bool,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| {
let elem = call_bool(generator, ctx, (elem_ty, val))?;
@ -620,13 +632,14 @@ pub fn call_floor<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ret_elem_ty,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_floor(generator, ctx, (elem_ty, val), ret_elem_ty),
)?;
@ -670,13 +683,14 @@ pub fn call_ceil<'ctx, G: CodeGenerator + ?Sized>(
if n_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, n_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
generator,
ctx,
ret_elem_ty,
None,
NDArrayValue::from_ptr_val(n, llvm_usize, None),
NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None),
|generator, ctx, val| call_ceil(generator, ctx, (elem_ty, val), ret_elem_ty),
)?;
@ -805,8 +819,8 @@ pub fn call_numpy_minimum<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_minimum(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -905,10 +919,10 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
if a_ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) =>
{
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, a_ty);
let llvm_ndarray_ty = ctx.get_llvm_type(generator, elem_ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let n = NDArrayValue::from_ptr_val(n, llvm_usize, None);
let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.dim_sizes(), (None, None));
let n = NDArrayValue::from_pointer_value(n, llvm_elem_ty, llvm_usize, None);
let n_sz = irrt::call_ndarray_calc_size(generator, ctx, &n.shape(), (None, None));
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
let n_sz_eqz = ctx
.builder
@ -925,7 +939,7 @@ pub fn call_numpy_max_min<'ctx, G: CodeGenerator + ?Sized>(
);
}
let accumulator_addr = generator.gen_var_alloc(ctx, llvm_ndarray_ty, None)?;
let accumulator_addr = generator.gen_var_alloc(ctx, llvm_elem_ty, None)?;
let res_idx = generator.gen_var_alloc(ctx, llvm_int64.into(), None)?;
unsafe {
@ -1067,8 +1081,8 @@ pub fn call_numpy_maximum<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_maximum(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -1113,6 +1127,7 @@ where
{
let llvm_usize = generator.get_size_type(ctx.ctx);
let (arg_elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, arg_ty);
let llvm_arg_elem_ty = ctx.get_llvm_type(generator, arg_elem_ty);
let ret_elem_ty = get_ret_elem_type(ctx, arg_elem_ty);
let ndarray = ndarray_elementwise_unaryop_impl(
@ -1120,7 +1135,7 @@ where
ctx,
ret_elem_ty,
None,
NDArrayValue::from_ptr_val(x, llvm_usize, None),
NDArrayValue::from_pointer_value(x, llvm_arg_elem_ty, llvm_usize, None),
|generator, ctx, elem_val| {
helper_call_numpy_unary_elementwise(
generator,
@ -1507,8 +1522,8 @@ pub fn call_numpy_arctan2<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_arctan2(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -1574,8 +1589,8 @@ pub fn call_numpy_copysign<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_copysign(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -1641,8 +1656,8 @@ pub fn call_numpy_fmax<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_fmax(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -1708,8 +1723,8 @@ pub fn call_numpy_fmin<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_fmin(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -1764,8 +1779,8 @@ pub fn call_numpy_ldexp<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_ldexp(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -1831,8 +1846,8 @@ pub fn call_numpy_hypot<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_hypot(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -1898,8 +1913,8 @@ pub fn call_numpy_nextafter<'ctx, G: CodeGenerator + ?Sized>(
ctx,
dtype,
None,
(x1, !is_ndarray1),
(x2, !is_ndarray2),
(x1_ty, x1, !is_ndarray1),
(x2_ty, x2, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
call_numpy_nextafter(generator, ctx, (x1_scalar_ty, lhs), (x2_scalar_ty, rhs))
},
@ -1959,14 +1974,14 @@ pub fn call_np_linalg_cholesky<'ctx, G: CodeGenerator + ?Sized>(
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
@ -2001,14 +2016,14 @@ pub fn call_np_linalg_qr<'ctx, G: CodeGenerator + ?Sized>(
unimplemented!("{FN_NAME} operates on float type NdArrays only");
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
@ -2051,15 +2066,15 @@ pub fn call_np_linalg_svd<'ctx, G: CodeGenerator + ?Sized>(
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
@ -2106,14 +2121,14 @@ pub fn call_np_linalg_inv<'ctx, G: CodeGenerator + ?Sized>(
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
@ -2148,15 +2163,15 @@ pub fn call_np_linalg_pinv<'ctx, G: CodeGenerator + ?Sized>(
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
@ -2191,15 +2206,15 @@ pub fn call_sp_linalg_lu<'ctx, G: CodeGenerator + ?Sized>(
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let dim1 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
@ -2244,7 +2259,7 @@ pub fn call_np_linalg_matrix_power<'ctx, G: CodeGenerator + ?Sized>(
unsupported_type(ctx, FN_NAME, &[x1_ty, x2_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
// Changing second parameter to a `NDArray` for uniformity in function call
let n2_array = numpy::create_ndarray_const_shape(
generator,
@ -2264,12 +2279,12 @@ pub fn call_np_linalg_matrix_power<'ctx, G: CodeGenerator + ?Sized>(
let n2_array = n2_array.as_base_value().as_basic_value_enum();
let outdim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
let outdim1 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
.into_int_value()
};
@ -2339,10 +2354,10 @@ pub fn call_sp_linalg_schur<'ctx, G: CodeGenerator + ?Sized>(
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};
@ -2382,10 +2397,10 @@ pub fn call_sp_linalg_hessenberg<'ctx, G: CodeGenerator + ?Sized>(
unsupported_type(ctx, FN_NAME, &[x1_ty]);
};
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n1 = NDArrayValue::from_pointer_value(n1, n1_elem_ty, llvm_usize, None);
let dim0 = unsafe {
n1.dim_sizes()
n1.shape()
.get_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
.into_int_value()
};

1765
nac3core/src/codegen/classes.rs
View File

File diff suppressed because it is too large Load Diff

138
nac3core/src/codegen/expr.rs
View File

@ -19,10 +19,6 @@ use nac3parser::ast::{
};
use super::{
classes::{
ArrayLikeIndexer, ArrayLikeValue, ListType, ListValue, NDArrayValue, ProxyType, ProxyValue,
RangeValue, TypedArrayLikeAccessor, UntypedArrayLikeAccessor,
},
concrete_type::{ConcreteFuncArg, ConcreteTypeEnum, ConcreteTypeStore},
gen_in_range_check, get_llvm_abi_type, get_llvm_type, get_va_count_arg_name,
irrt::*,
@ -36,6 +32,11 @@ use super::{
gen_for_callback_incrementing, gen_if_callback, gen_if_else_expr_callback, gen_raise,
gen_var,
},
types::{ListType, ProxyType},
values::{
ArrayLikeIndexer, ArrayLikeValue, ListValue, NDArrayValue, ProxyValue, RangeValue,
TypedArrayLikeAccessor, UntypedArrayLikeAccessor,
},
CodeGenContext, CodeGenTask, CodeGenerator,
};
use crate::{
@ -1167,7 +1168,8 @@ pub fn gen_comprehension<'ctx, G: CodeGenerator>(
TypeEnum::TObj { obj_id, .. }
if *obj_id == ctx.primitives.range.obj_id(&ctx.unifier).unwrap() =>
{
let iter_val = RangeValue::from_ptr_val(iter_val.into_pointer_value(), Some("range"));
let iter_val =
RangeValue::from_pointer_value(iter_val.into_pointer_value(), Some("range"));
let (start, stop, step) = destructure_range(ctx, iter_val);
let diff = ctx.builder.build_int_sub(stop, start, "diff").unwrap();
// add 1 to the length as the value is rounded to zero
@ -1398,8 +1400,10 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty1);
let sizeof_elem = llvm_elem_ty.size_of().unwrap();
let lhs = ListValue::from_ptr_val(left_val.into_pointer_value(), llvm_usize, None);
let rhs = ListValue::from_ptr_val(right_val.into_pointer_value(), llvm_usize, None);
let lhs =
ListValue::from_pointer_value(left_val.into_pointer_value(), llvm_usize, None);
let rhs =
ListValue::from_pointer_value(right_val.into_pointer_value(), llvm_usize, None);
let size = ctx
.builder
@ -1482,7 +1486,7 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
codegen_unreachable!(ctx)
};
let list_val =
ListValue::from_ptr_val(list_val.into_pointer_value(), llvm_usize, None);
ListValue::from_pointer_value(list_val.into_pointer_value(), llvm_usize, None);
let int_val = ctx
.builder
.build_int_s_extend(int_val.into_int_value(), llvm_usize, "")
@ -1560,10 +1564,21 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
assert!(ctx.unifier.unioned(ndarray_dtype1, ndarray_dtype2));
let left_val =
NDArrayValue::from_ptr_val(left_val.into_pointer_value(), llvm_usize, None);
let right_val =
NDArrayValue::from_ptr_val(right_val.into_pointer_value(), llvm_usize, None);
let llvm_ndarray_dtype1 = ctx.get_llvm_type(generator, ndarray_dtype1);
let llvm_ndarray_dtype2 = ctx.get_llvm_type(generator, ndarray_dtype2);
let left_val = NDArrayValue::from_pointer_value(
left_val.into_pointer_value(),
llvm_ndarray_dtype1,
llvm_usize,
None,
);
let right_val = NDArrayValue::from_pointer_value(
right_val.into_pointer_value(),
llvm_ndarray_dtype2,
llvm_usize,
None,
);
let res = if op.base == Operator::MatMult {
// MatMult is the only binop which is not an elementwise op
@ -1587,8 +1602,8 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
BinopVariant::Normal => None,
BinopVariant::AugAssign => Some(left_val),
},
(left_val.as_base_value().into(), false),
(right_val.as_base_value().into(), false),
(ty1, left_val.as_base_value().into(), false),
(ty2, right_val.as_base_value().into(), false),
|generator, ctx, (lhs, rhs)| {
gen_binop_expr_with_values(
generator,
@ -1612,8 +1627,10 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
} else {
let (ndarray_dtype, _) =
unpack_ndarray_var_tys(&mut ctx.unifier, if is_ndarray1 { ty1 } else { ty2 });
let ndarray_val = NDArrayValue::from_ptr_val(
let llvm_ndarray_dtype = ctx.get_llvm_type(generator, ndarray_dtype);
let ndarray_val = NDArrayValue::from_pointer_value(
if is_ndarray1 { left_val } else { right_val }.into_pointer_value(),
llvm_ndarray_dtype,
llvm_usize,
None,
);
@ -1625,8 +1642,8 @@ pub fn gen_binop_expr_with_values<'ctx, G: CodeGenerator>(
BinopVariant::Normal => None,
BinopVariant::AugAssign => Some(ndarray_val),
},
(left_val, !is_ndarray1),
(right_val, !is_ndarray2),
(ty1, left_val, !is_ndarray1),
(ty2, right_val, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
gen_binop_expr_with_values(
generator,
@ -1806,8 +1823,14 @@ pub fn gen_unaryop_expr_with_values<'ctx, G: CodeGenerator>(
} else if ty.obj_id(&ctx.unifier).is_some_and(|id| id == PrimDef::NDArray.id()) {
let llvm_usize = generator.get_size_type(ctx.ctx);
let (ndarray_dtype, _) = unpack_ndarray_var_tys(&mut ctx.unifier, ty);
let llvm_ndarray_dtype = ctx.get_llvm_type(generator, ndarray_dtype);
let val = NDArrayValue::from_ptr_val(val.into_pointer_value(), llvm_usize, None);
let val = NDArrayValue::from_pointer_value(
val.into_pointer_value(),
llvm_ndarray_dtype,
llvm_usize,
None,
);
// ndarray uses `~` rather than `not` to perform elementwise inversion, convert it before
// passing it to the elementwise codegen function
@ -1898,15 +1921,21 @@ pub fn gen_cmpop_expr_with_values<'ctx, G: CodeGenerator>(
assert!(ctx.unifier.unioned(ndarray_dtype1, ndarray_dtype2));
let left_val =
NDArrayValue::from_ptr_val(lhs.into_pointer_value(), llvm_usize, None);
let llvm_ndarray_dtype1 = ctx.get_llvm_type(generator, ndarray_dtype1);
let left_val = NDArrayValue::from_pointer_value(
lhs.into_pointer_value(),
llvm_ndarray_dtype1,
llvm_usize,
None,
);
let res = numpy::ndarray_elementwise_binop_impl(
generator,
ctx,
ctx.primitives.bool,
None,
(left_val.as_base_value().into(), false),
(rhs, false),
(left_ty, left_val.as_base_value().into(), false),
(right_ty, rhs, false),
|generator, ctx, (lhs, rhs)| {
let val = gen_cmpop_expr_with_values(
generator,
@ -1937,8 +1966,8 @@ pub fn gen_cmpop_expr_with_values<'ctx, G: CodeGenerator>(
ctx,
ctx.primitives.bool,
None,
(lhs, !is_ndarray1),
(rhs, !is_ndarray2),
(left_ty, lhs, !is_ndarray1),
(right_ty, rhs, !is_ndarray2),
|generator, ctx, (lhs, rhs)| {
let val = gen_cmpop_expr_with_values(
generator,
@ -2201,9 +2230,9 @@ pub fn gen_cmpop_expr_with_values<'ctx, G: CodeGenerator>(
}
let left_val =
ListValue::from_ptr_val(lhs.into_pointer_value(), llvm_usize, None);
ListValue::from_pointer_value(lhs.into_pointer_value(), llvm_usize, None);
let right_val =
ListValue::from_ptr_val(rhs.into_pointer_value(), llvm_usize, None);
ListValue::from_pointer_value(rhs.into_pointer_value(), llvm_usize, None);
Ok(gen_if_else_expr_callback(
generator,
@ -2602,7 +2631,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
let llvm_i32 = ctx.ctx.i32_type();
let len = unsafe {
v.dim_sizes().get_typed_unchecked(
v.shape().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_int(dim, true),
@ -2643,7 +2672,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
ExprKind::Slice { lower, upper, step } => {
let dim_sz = unsafe {
v.dim_sizes().get_typed_unchecked(
v.shape().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_int(dim, false),
@ -2767,7 +2796,12 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
// elements over
let subscripted_ndarray =
generator.gen_var_alloc(ctx, llvm_ndarray_t.into(), None)?;
let ndarray = NDArrayValue::from_ptr_val(subscripted_ndarray, llvm_usize, None);
let ndarray = NDArrayValue::from_pointer_value(
subscripted_ndarray,
llvm_ndarray_data_t,
llvm_usize,
None,
);
let num_dims = v.load_ndims(ctx);
ndarray.store_ndims(
@ -2779,7 +2813,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
);
let ndarray_num_dims = ndarray.load_ndims(ctx);
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
ndarray.create_shape(ctx, llvm_usize, ndarray_num_dims);
let ndarray_num_dims = ctx
.builder
@ -2790,7 +2824,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
)
.unwrap();
let v_dims_src_ptr = unsafe {
v.dim_sizes().ptr_offset_unchecked(
v.shape().ptr_offset_unchecked(
ctx,
generator,
&llvm_usize.const_int(1, false),
@ -2799,7 +2833,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
};
call_memcpy_generic(
ctx,
ndarray.dim_sizes().base_ptr(ctx, generator),
ndarray.shape().base_ptr(ctx, generator),
v_dims_src_ptr,
ctx.builder
.build_int_mul(ndarray_num_dims, llvm_usize.size_of(), "")
@ -2811,7 +2845,7 @@ fn gen_ndarray_subscript_expr<'ctx, G: CodeGenerator>(
let ndarray_num_elems = call_ndarray_calc_size(
generator,
ctx,
&ndarray.dim_sizes().as_slice_value(ctx, generator),
&ndarray.shape().as_slice_value(ctx, generator),
(None, None),
);
let ndarray_num_elems = ctx
@ -3108,48 +3142,53 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
};
let left = generator.bool_to_i1(ctx, left);
let current = ctx.builder.get_insert_block().unwrap().get_parent().unwrap();
let a_bb = ctx.ctx.append_basic_block(current, "a");
let b_bb = ctx.ctx.append_basic_block(current, "b");
let a_begin_bb = ctx.ctx.append_basic_block(current, "a_begin");
let a_end_bb = ctx.ctx.append_basic_block(current, "a_end");
let b_begin_bb = ctx.ctx.append_basic_block(current, "b_begin");
let b_end_bb = ctx.ctx.append_basic_block(current, "b_end");
let cont_bb = ctx.ctx.append_basic_block(current, "cont");
ctx.builder.build_conditional_branch(left, a_bb, b_bb).unwrap();
ctx.builder.build_conditional_branch(left, a_begin_bb, b_begin_bb).unwrap();
ctx.builder.position_at_end(a_end_bb);
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
ctx.builder.position_at_end(b_end_bb);
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
let (a, b) = match op {
Boolop::Or => {
ctx.builder.position_at_end(a_bb);
ctx.builder.position_at_end(a_begin_bb);
let a = ctx.ctx.i8_type().const_int(1, false);
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
ctx.builder.build_unconditional_branch(a_end_bb).unwrap();
ctx.builder.position_at_end(b_bb);
ctx.builder.position_at_end(b_begin_bb);
let b = if let Some(v) = generator.gen_expr(ctx, &values[1])? {
let b = v
.to_basic_value_enum(ctx, generator, values[1].custom.unwrap())?
.into_int_value();
let b = generator.bool_to_i8(ctx, b);
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
Some(b)
} else {
None
};
ctx.builder.build_unconditional_branch(b_end_bb).unwrap();
(Some(a), b)
}
Boolop::And => {
ctx.builder.position_at_end(a_bb);
ctx.builder.position_at_end(a_begin_bb);
let a = if let Some(v) = generator.gen_expr(ctx, &values[1])? {
let a = v
.to_basic_value_enum(ctx, generator, values[1].custom.unwrap())?
.into_int_value();
let a = generator.bool_to_i8(ctx, a);
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
Some(a)
} else {
None
};
ctx.builder.build_unconditional_branch(a_end_bb).unwrap();
ctx.builder.position_at_end(b_bb);
ctx.builder.position_at_end(b_begin_bb);
let b = ctx.ctx.i8_type().const_zero();
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
ctx.builder.build_unconditional_branch(b_end_bb).unwrap();
(a, Some(b))
}
@ -3159,7 +3198,7 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
match (a, b) {
(Some(a), Some(b)) => {
let phi = ctx.builder.build_phi(ctx.ctx.i8_type(), "").unwrap();
phi.add_incoming(&[(&a, a_bb), (&b, b_bb)]);
phi.add_incoming(&[(&a, a_end_bb), (&b, b_end_bb)]);
phi.as_basic_value().into()
}
(Some(a), None) => a.into(),
@ -3397,7 +3436,7 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
} else {
return Ok(None);
};
let v = ListValue::from_ptr_val(v, usize, Some("arr"));
let v = ListValue::from_pointer_value(v, usize, Some("arr"));
let ty = ctx.get_llvm_type(generator, *ty);
if let ExprKind::Slice { lower, upper, step } = &slice.node {
let one = int32.const_int(1, false);
@ -3500,6 +3539,7 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
}
TypeEnum::TObj { obj_id, params, .. } if *obj_id == PrimDef::NDArray.id() => {
let (ty, ndims) = params.iter().map(|(_, ty)| ty).collect_tuple().unwrap();
let llvm_ty = ctx.get_llvm_type(generator, *ty);
let v = if let Some(v) = generator.gen_expr(ctx, value)? {
v.to_basic_value_enum(ctx, generator, value.custom.unwrap())?
@ -3507,7 +3547,7 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
} else {
return Ok(None);
};
let v = NDArrayValue::from_ptr_val(v, usize, None);
let v = NDArrayValue::from_pointer_value(v, llvm_ty, usize, None);
return gen_ndarray_subscript_expr(generator, ctx, *ty, *ndims, v, slice);
}

2
nac3core/src/codegen/generator.rs
View File

@ -6,7 +6,7 @@ use inkwell::{
use nac3parser::ast::{Expr, Stmt, StrRef};
use super::{bool_to_i1, bool_to_i8, classes::ArraySliceValue, expr::*, stmt::*, CodeGenContext};
use super::{bool_to_i1, bool_to_i8, expr::*, stmt::*, values::ArraySliceValue, CodeGenContext};
use crate::{
symbol_resolver::ValueEnum,
toplevel::{DefinitionId, TopLevelDef},

162
nac3core/src/codegen/irrt/list.rs Normal file
View File

@ -0,0 +1,162 @@
use inkwell::{
types::BasicTypeEnum,
values::{BasicValueEnum, CallSiteValue, IntValue},
AddressSpace, IntPredicate,
};
use itertools::Either;
use super::calculate_len_for_slice_range;
use crate::codegen::{
macros::codegen_unreachable,
values::{ArrayLikeValue, ListValue},
CodeGenContext, CodeGenerator,
};
/// This function handles 'end' **inclusively**.
/// Order of tuples `assign_idx` and `value_idx` is ('start', 'end', 'step').
/// Negative index should be handled before entering this function
pub fn list_slice_assignment<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
ty: BasicTypeEnum<'ctx>,
dest_arr: ListValue<'ctx>,
dest_idx: (IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>),
src_arr: ListValue<'ctx>,
src_idx: (IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>),
) {
let size_ty = generator.get_size_type(ctx.ctx);
let int8_ptr = ctx.ctx.i8_type().ptr_type(AddressSpace::default());
let int32 = ctx.ctx.i32_type();
let (fun_symbol, elem_ptr_type) = ("__nac3_list_slice_assign_var_size", int8_ptr);
let slice_assign_fun = {
let ty_vec = vec![
int32.into(), // dest start idx
int32.into(), // dest end idx
int32.into(), // dest step
elem_ptr_type.into(), // dest arr ptr
int32.into(), // dest arr len
int32.into(), // src start idx
int32.into(), // src end idx
int32.into(), // src step
elem_ptr_type.into(), // src arr ptr
int32.into(), // src arr len
int32.into(), // size
];
ctx.module.get_function(fun_symbol).unwrap_or_else(|| {
let fn_t = int32.fn_type(ty_vec.as_slice(), false);
ctx.module.add_function(fun_symbol, fn_t, None)
})
};
let zero = int32.const_zero();
let one = int32.const_int(1, false);
let dest_arr_ptr = dest_arr.data().base_ptr(ctx, generator);
let dest_arr_ptr =
ctx.builder.build_pointer_cast(dest_arr_ptr, elem_ptr_type, "dest_arr_ptr_cast").unwrap();
let dest_len = dest_arr.load_size(ctx, Some("dest.len"));
let dest_len = ctx.builder.build_int_truncate_or_bit_cast(dest_len, int32, "srclen32").unwrap();
let src_arr_ptr = src_arr.data().base_ptr(ctx, generator);
let src_arr_ptr =
ctx.builder.build_pointer_cast(src_arr_ptr, elem_ptr_type, "src_arr_ptr_cast").unwrap();
let src_len = src_arr.load_size(ctx, Some("src.len"));
let src_len = ctx.builder.build_int_truncate_or_bit_cast(src_len, int32, "srclen32").unwrap();
// index in bound and positive should be done
// assert if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest), and
// throw exception if not satisfied
let src_end = ctx
.builder
.build_select(
ctx.builder.build_int_compare(IntPredicate::SLT, src_idx.2, zero, "is_neg").unwrap(),
ctx.builder.build_int_sub(src_idx.1, one, "e_min_one").unwrap(),
ctx.builder.build_int_add(src_idx.1, one, "e_add_one").unwrap(),
"final_e",
)
.map(BasicValueEnum::into_int_value)
.unwrap();
let dest_end = ctx
.builder
.build_select(
ctx.builder.build_int_compare(IntPredicate::SLT, dest_idx.2, zero, "is_neg").unwrap(),
ctx.builder.build_int_sub(dest_idx.1, one, "e_min_one").unwrap(),
ctx.builder.build_int_add(dest_idx.1, one, "e_add_one").unwrap(),
"final_e",
)
.map(BasicValueEnum::into_int_value)
.unwrap();
let src_slice_len =
calculate_len_for_slice_range(generator, ctx, src_idx.0, src_end, src_idx.2);
let dest_slice_len =
calculate_len_for_slice_range(generator, ctx, dest_idx.0, dest_end, dest_idx.2);
let src_eq_dest = ctx
.builder
.build_int_compare(IntPredicate::EQ, src_slice_len, dest_slice_len, "slice_src_eq_dest")
.unwrap();
let src_slt_dest = ctx
.builder
.build_int_compare(IntPredicate::SLT, src_slice_len, dest_slice_len, "slice_src_slt_dest")
.unwrap();
let dest_step_eq_one = ctx
.builder
.build_int_compare(
IntPredicate::EQ,
dest_idx.2,
dest_idx.2.get_type().const_int(1, false),
"slice_dest_step_eq_one",
)
.unwrap();
let cond_1 = ctx.builder.build_and(dest_step_eq_one, src_slt_dest, "slice_cond_1").unwrap();
let cond = ctx.builder.build_or(src_eq_dest, cond_1, "slice_cond").unwrap();
ctx.make_assert(
generator,
cond,
"0:ValueError",
"attempt to assign sequence of size {0} to slice of size {1} with step size {2}",
[Some(src_slice_len), Some(dest_slice_len), Some(dest_idx.2)],
ctx.current_loc,
);
let new_len = {
let args = vec![
dest_idx.0.into(), // dest start idx
dest_idx.1.into(), // dest end idx
dest_idx.2.into(), // dest step
dest_arr_ptr.into(), // dest arr ptr
dest_len.into(), // dest arr len
src_idx.0.into(), // src start idx
src_idx.1.into(), // src end idx
src_idx.2.into(), // src step
src_arr_ptr.into(), // src arr ptr
src_len.into(), // src arr len
{
let s = match ty {
BasicTypeEnum::FloatType(t) => t.size_of(),
BasicTypeEnum::IntType(t) => t.size_of(),
BasicTypeEnum::PointerType(t) => t.size_of(),
BasicTypeEnum::StructType(t) => t.size_of().unwrap(),
_ => codegen_unreachable!(ctx),
};
ctx.builder.build_int_truncate_or_bit_cast(s, int32, "size").unwrap()
}
.into(),
];
ctx.builder
.build_call(slice_assign_fun, args.as_slice(), "slice_assign")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
};
// update length
let need_update =
ctx.builder.build_int_compare(IntPredicate::NE, new_len, dest_len, "need_update").unwrap();
let current = ctx.builder.get_insert_block().unwrap().get_parent().unwrap();
let update_bb = ctx.ctx.append_basic_block(current, "update");
let cont_bb = ctx.ctx.append_basic_block(current, "cont");
ctx.builder.build_conditional_branch(need_update, update_bb, cont_bb).unwrap();
ctx.builder.position_at_end(update_bb);
let new_len = ctx.builder.build_int_z_extend_or_bit_cast(new_len, size_ty, "new_len").unwrap();
dest_arr.store_size(ctx, generator, new_len);
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
ctx.builder.position_at_end(cont_bb);
}

152
nac3core/src/codegen/irrt/math.rs Normal file
View File

@ -0,0 +1,152 @@
use inkwell::{
values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue},
IntPredicate,
};
use itertools::Either;
use crate::codegen::{
macros::codegen_unreachable,
{CodeGenContext, CodeGenerator},
};
// repeated squaring method adapted from GNU Scientific Library:
// https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
pub fn integer_power<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
base: IntValue<'ctx>,
exp: IntValue<'ctx>,
signed: bool,
) -> IntValue<'ctx> {
let symbol = match (base.get_type().get_bit_width(), exp.get_type().get_bit_width(), signed) {
(32, 32, true) => "__nac3_int_exp_int32_t",
(64, 64, true) => "__nac3_int_exp_int64_t",
(32, 32, false) => "__nac3_int_exp_uint32_t",
(64, 64, false) => "__nac3_int_exp_uint64_t",
_ => codegen_unreachable!(ctx),
};
let base_type = base.get_type();
let pow_fun = ctx.module.get_function(symbol).unwrap_or_else(|| {
let fn_type = base_type.fn_type(&[base_type.into(), base_type.into()], false);
ctx.module.add_function(symbol, fn_type, None)
});
// throw exception when exp < 0
let ge_zero = ctx
.builder
.build_int_compare(
IntPredicate::SGE,
exp,
exp.get_type().const_zero(),
"assert_int_pow_ge_0",
)
.unwrap();
ctx.make_assert(
generator,
ge_zero,
"0:ValueError",
"integer power must be positive or zero",
[None, None, None],
ctx.current_loc,
);
ctx.builder
.build_call(pow_fun, &[base.into(), exp.into()], "call_int_pow")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Generates a call to `isinf` in IR. Returns an `i1` representing the result.
pub fn call_isinf<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &CodeGenContext<'ctx, '_>,
v: FloatValue<'ctx>,
) -> IntValue<'ctx> {
let intrinsic_fn = ctx.module.get_function("__nac3_isinf").unwrap_or_else(|| {
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
ctx.module.add_function("__nac3_isinf", fn_type, None)
});
let ret = ctx
.builder
.build_call(intrinsic_fn, &[v.into()], "isinf")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap();
generator.bool_to_i1(ctx, ret)
}
/// Generates a call to `isnan` in IR. Returns an `i1` representing the result.
pub fn call_isnan<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &CodeGenContext<'ctx, '_>,
v: FloatValue<'ctx>,
) -> IntValue<'ctx> {
let intrinsic_fn = ctx.module.get_function("__nac3_isnan").unwrap_or_else(|| {
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
ctx.module.add_function("__nac3_isnan", fn_type, None)
});
let ret = ctx
.builder
.build_call(intrinsic_fn, &[v.into()], "isnan")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap();
generator.bool_to_i1(ctx, ret)
}
/// Generates a call to `gamma` in IR. Returns an `f64` representing the result.
pub fn call_gamma<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
let llvm_f64 = ctx.ctx.f64_type();
let intrinsic_fn = ctx.module.get_function("__nac3_gamma").unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
ctx.module.add_function("__nac3_gamma", fn_type, None)
});
ctx.builder
.build_call(intrinsic_fn, &[v.into()], "gamma")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Generates a call to `gammaln` in IR. Returns an `f64` representing the result.
pub fn call_gammaln<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
let llvm_f64 = ctx.ctx.f64_type();
let intrinsic_fn = ctx.module.get_function("__nac3_gammaln").unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
ctx.module.add_function("__nac3_gammaln", fn_type, None)
});
ctx.builder
.build_call(intrinsic_fn, &[v.into()], "gammaln")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Generates a call to `j0` in IR. Returns an `f64` representing the result.
pub fn call_j0<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
let llvm_f64 = ctx.ctx.f64_type();
let intrinsic_fn = ctx.module.get_function("__nac3_j0").unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
ctx.module.add_function("__nac3_j0", fn_type, None)
});
ctx.builder
.build_call(intrinsic_fn, &[v.into()], "j0")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}

749
nac3core/src/codegen/irrt/mod.rs
View File

@ -3,25 +3,23 @@ use inkwell::{
context::Context,
memory_buffer::MemoryBuffer,
module::Module,
types::{BasicTypeEnum, IntType},
values::{BasicValue, BasicValueEnum, CallSiteValue, FloatValue, IntValue},
AddressSpace, IntPredicate,
values::{BasicValue, BasicValueEnum, IntValue},
IntPredicate,
};
use itertools::Either;
use nac3parser::ast::Expr;
use super::{
classes::{
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue,
TypedArrayLikeAccessor, TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
},
llvm_intrinsics,
macros::codegen_unreachable,
stmt::gen_for_callback_incrementing,
CodeGenContext, CodeGenerator,
};
use super::{CodeGenContext, CodeGenerator};
use crate::{symbol_resolver::SymbolResolver, typecheck::typedef::Type};
pub use list::*;
pub use math::*;
pub use ndarray::*;
pub use slice::*;
mod list;
mod math;
mod ndarray;
mod slice;
#[must_use]
pub fn load_irrt<'ctx>(ctx: &'ctx Context, symbol_resolver: &dyn SymbolResolver) -> Module<'ctx> {
@ -62,88 +60,6 @@ pub fn load_irrt<'ctx>(ctx: &'ctx Context, symbol_resolver: &dyn SymbolResolver)
irrt_mod
}
// repeated squaring method adapted from GNU Scientific Library:
// https://git.savannah.gnu.org/cgit/gsl.git/tree/sys/pow_int.c
pub fn integer_power<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
base: IntValue<'ctx>,
exp: IntValue<'ctx>,
signed: bool,
) -> IntValue<'ctx> {
let symbol = match (base.get_type().get_bit_width(), exp.get_type().get_bit_width(), signed) {
(32, 32, true) => "__nac3_int_exp_int32_t",
(64, 64, true) => "__nac3_int_exp_int64_t",
(32, 32, false) => "__nac3_int_exp_uint32_t",
(64, 64, false) => "__nac3_int_exp_uint64_t",
_ => 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()
}
pub fn calculate_len_for_slice_range<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
start: IntValue<'ctx>,
end: IntValue<'ctx>,
step: IntValue<'ctx>,
) -> IntValue<'ctx> {
const SYMBOL: &str = "__nac3_range_slice_len";
let len_func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
let i32_t = ctx.ctx.i32_type();
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into(), i32_t.into()], false);
ctx.module.add_function(SYMBOL, fn_t, None)
});
// assert step != 0, throw exception if not
let not_zero = ctx
.builder
.build_int_compare(IntPredicate::NE, step, step.get_type().const_zero(), "range_step_ne")
.unwrap();
ctx.make_assert(
generator,
not_zero,
"0:ValueError",
"step must not be zero",
[None, None, None],
ctx.current_loc,
);
ctx.builder
.build_call(len_func, &[start.into(), end.into(), step.into()], "calc_len")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// NOTE: the output value of the end index of this function should be compared ***inclusively***,
/// because python allows `a[2::-1]`, whose semantic is `[a[2], a[1], a[0]]`, which is equivalent to
/// NO numeric slice in python.
@ -309,644 +225,3 @@ pub fn handle_slice_indices<'ctx, G: CodeGenerator>(
}
}))
}
/// this function allows index out of range, since python
/// allows index out of range in slice (`a = [1,2,3]; a[1:10] == [2,3]`).
pub fn handle_slice_index_bound<'ctx, G: CodeGenerator>(
i: &Expr<Option<Type>>,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
length: IntValue<'ctx>,
) -> Result<Option<IntValue<'ctx>>, String> {
const SYMBOL: &str = "__nac3_slice_index_bound";
let func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
let i32_t = ctx.ctx.i32_type();
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into()], false);
ctx.module.add_function(SYMBOL, fn_t, None)
});
let i = if let Some(v) = generator.gen_expr(ctx, i)? {
v.to_basic_value_enum(ctx, generator, i.custom.unwrap())?
} else {
return Ok(None);
};
Ok(Some(
ctx.builder
.build_call(func, &[i.into(), length.into()], "bounded_ind")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap(),
))
}
/// This function handles 'end' **inclusively**.
/// Order of tuples `assign_idx` and `value_idx` is ('start', 'end', 'step').
/// Negative index should be handled before entering this function
pub fn list_slice_assignment<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
ty: BasicTypeEnum<'ctx>,
dest_arr: ListValue<'ctx>,
dest_idx: (IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>),
src_arr: ListValue<'ctx>,
src_idx: (IntValue<'ctx>, IntValue<'ctx>, IntValue<'ctx>),
) {
let size_ty = generator.get_size_type(ctx.ctx);
let int8_ptr = ctx.ctx.i8_type().ptr_type(AddressSpace::default());
let int32 = ctx.ctx.i32_type();
let (fun_symbol, elem_ptr_type) = ("__nac3_list_slice_assign_var_size", int8_ptr);
let slice_assign_fun = {
let ty_vec = vec![
int32.into(), // dest start idx
int32.into(), // dest end idx
int32.into(), // dest step
elem_ptr_type.into(), // dest arr ptr
int32.into(), // dest arr len
int32.into(), // src start idx
int32.into(), // src end idx
int32.into(), // src step
elem_ptr_type.into(), // src arr ptr
int32.into(), // src arr len
int32.into(), // size
];
ctx.module.get_function(fun_symbol).unwrap_or_else(|| {
let fn_t = int32.fn_type(ty_vec.as_slice(), false);
ctx.module.add_function(fun_symbol, fn_t, None)
})
};
let zero = int32.const_zero();
let one = int32.const_int(1, false);
let dest_arr_ptr = dest_arr.data().base_ptr(ctx, generator);
let dest_arr_ptr =
ctx.builder.build_pointer_cast(dest_arr_ptr, elem_ptr_type, "dest_arr_ptr_cast").unwrap();
let dest_len = dest_arr.load_size(ctx, Some("dest.len"));
let dest_len = ctx.builder.build_int_truncate_or_bit_cast(dest_len, int32, "srclen32").unwrap();
let src_arr_ptr = src_arr.data().base_ptr(ctx, generator);
let src_arr_ptr =
ctx.builder.build_pointer_cast(src_arr_ptr, elem_ptr_type, "src_arr_ptr_cast").unwrap();
let src_len = src_arr.load_size(ctx, Some("src.len"));
let src_len = ctx.builder.build_int_truncate_or_bit_cast(src_len, int32, "srclen32").unwrap();
// index in bound and positive should be done
// assert if dest.step == 1 then len(src) <= len(dest) else len(src) == len(dest), and
// throw exception if not satisfied
let src_end = ctx
.builder
.build_select(
ctx.builder.build_int_compare(IntPredicate::SLT, src_idx.2, zero, "is_neg").unwrap(),
ctx.builder.build_int_sub(src_idx.1, one, "e_min_one").unwrap(),
ctx.builder.build_int_add(src_idx.1, one, "e_add_one").unwrap(),
"final_e",
)
.map(BasicValueEnum::into_int_value)
.unwrap();
let dest_end = ctx
.builder
.build_select(
ctx.builder.build_int_compare(IntPredicate::SLT, dest_idx.2, zero, "is_neg").unwrap(),
ctx.builder.build_int_sub(dest_idx.1, one, "e_min_one").unwrap(),
ctx.builder.build_int_add(dest_idx.1, one, "e_add_one").unwrap(),
"final_e",
)
.map(BasicValueEnum::into_int_value)
.unwrap();
let src_slice_len =
calculate_len_for_slice_range(generator, ctx, src_idx.0, src_end, src_idx.2);
let dest_slice_len =
calculate_len_for_slice_range(generator, ctx, dest_idx.0, dest_end, dest_idx.2);
let src_eq_dest = ctx
.builder
.build_int_compare(IntPredicate::EQ, src_slice_len, dest_slice_len, "slice_src_eq_dest")
.unwrap();
let src_slt_dest = ctx
.builder
.build_int_compare(IntPredicate::SLT, src_slice_len, dest_slice_len, "slice_src_slt_dest")
.unwrap();
let dest_step_eq_one = ctx
.builder
.build_int_compare(
IntPredicate::EQ,
dest_idx.2,
dest_idx.2.get_type().const_int(1, false),
"slice_dest_step_eq_one",
)
.unwrap();
let cond_1 = ctx.builder.build_and(dest_step_eq_one, src_slt_dest, "slice_cond_1").unwrap();
let cond = ctx.builder.build_or(src_eq_dest, cond_1, "slice_cond").unwrap();
ctx.make_assert(
generator,
cond,
"0:ValueError",
"attempt to assign sequence of size {0} to slice of size {1} with step size {2}",
[Some(src_slice_len), Some(dest_slice_len), Some(dest_idx.2)],
ctx.current_loc,
);
let new_len = {
let args = vec![
dest_idx.0.into(), // dest start idx
dest_idx.1.into(), // dest end idx
dest_idx.2.into(), // dest step
dest_arr_ptr.into(), // dest arr ptr
dest_len.into(), // dest arr len
src_idx.0.into(), // src start idx
src_idx.1.into(), // src end idx
src_idx.2.into(), // src step
src_arr_ptr.into(), // src arr ptr
src_len.into(), // src arr len
{
let s = match ty {
BasicTypeEnum::FloatType(t) => t.size_of(),
BasicTypeEnum::IntType(t) => t.size_of(),
BasicTypeEnum::PointerType(t) => t.size_of(),
BasicTypeEnum::StructType(t) => t.size_of().unwrap(),
_ => codegen_unreachable!(ctx),
};
ctx.builder.build_int_truncate_or_bit_cast(s, int32, "size").unwrap()
}
.into(),
];
ctx.builder
.build_call(slice_assign_fun, args.as_slice(), "slice_assign")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
};
// update length
let need_update =
ctx.builder.build_int_compare(IntPredicate::NE, new_len, dest_len, "need_update").unwrap();
let current = ctx.builder.get_insert_block().unwrap().get_parent().unwrap();
let update_bb = ctx.ctx.append_basic_block(current, "update");
let cont_bb = ctx.ctx.append_basic_block(current, "cont");
ctx.builder.build_conditional_branch(need_update, update_bb, cont_bb).unwrap();
ctx.builder.position_at_end(update_bb);
let new_len = ctx.builder.build_int_z_extend_or_bit_cast(new_len, size_ty, "new_len").unwrap();
dest_arr.store_size(ctx, generator, new_len);
ctx.builder.build_unconditional_branch(cont_bb).unwrap();
ctx.builder.position_at_end(cont_bb);
}
/// Generates a call to `isinf` in IR. Returns an `i1` representing the result.
pub fn call_isinf<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &CodeGenContext<'ctx, '_>,
v: FloatValue<'ctx>,
) -> IntValue<'ctx> {
let intrinsic_fn = ctx.module.get_function("__nac3_isinf").unwrap_or_else(|| {
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
ctx.module.add_function("__nac3_isinf", fn_type, None)
});
let ret = ctx
.builder
.build_call(intrinsic_fn, &[v.into()], "isinf")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap();
generator.bool_to_i1(ctx, ret)
}
/// Generates a call to `isnan` in IR. Returns an `i1` representing the result.
pub fn call_isnan<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &CodeGenContext<'ctx, '_>,
v: FloatValue<'ctx>,
) -> IntValue<'ctx> {
let intrinsic_fn = ctx.module.get_function("__nac3_isnan").unwrap_or_else(|| {
let fn_type = ctx.ctx.i32_type().fn_type(&[ctx.ctx.f64_type().into()], false);
ctx.module.add_function("__nac3_isnan", fn_type, None)
});
let ret = ctx
.builder
.build_call(intrinsic_fn, &[v.into()], "isnan")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap();
generator.bool_to_i1(ctx, ret)
}
/// Generates a call to `gamma` in IR. Returns an `f64` representing the result.
pub fn call_gamma<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
let llvm_f64 = ctx.ctx.f64_type();
let intrinsic_fn = ctx.module.get_function("__nac3_gamma").unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
ctx.module.add_function("__nac3_gamma", fn_type, None)
});
ctx.builder
.build_call(intrinsic_fn, &[v.into()], "gamma")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Generates a call to `gammaln` in IR. Returns an `f64` representing the result.
pub fn call_gammaln<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
let llvm_f64 = ctx.ctx.f64_type();
let intrinsic_fn = ctx.module.get_function("__nac3_gammaln").unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
ctx.module.add_function("__nac3_gammaln", fn_type, None)
});
ctx.builder
.build_call(intrinsic_fn, &[v.into()], "gammaln")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Generates a call to `j0` in IR. Returns an `f64` representing the result.
pub fn call_j0<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> FloatValue<'ctx> {
let llvm_f64 = ctx.ctx.f64_type();
let intrinsic_fn = ctx.module.get_function("__nac3_j0").unwrap_or_else(|| {
let fn_type = llvm_f64.fn_type(&[llvm_f64.into()], false);
ctx.module.add_function("__nac3_j0", fn_type, None)
});
ctx.builder
.build_call(intrinsic_fn, &[v.into()], "j0")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_float_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Generates a call to `__nac3_ndarray_calc_size`. Returns an [`IntValue`] representing the
/// calculated total size.
///
/// * `dims` - An [`ArrayLikeIndexer`] containing the size of each dimension.
/// * `range` - The dimension index to begin and end (exclusively) calculating the dimensions for,
/// or [`None`] if starting from the first dimension and ending at the last dimension
/// respectively.
pub fn call_ndarray_calc_size<'ctx, G, Dims>(
generator: &G,
ctx: &CodeGenContext<'ctx, '_>,
dims: &Dims,
(begin, end): (Option<IntValue<'ctx>>, Option<IntValue<'ctx>>),
) -> IntValue<'ctx>
where
G: CodeGenerator + ?Sized,
Dims: ArrayLikeIndexer<'ctx>,
{
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_size_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_size",
64 => "__nac3_ndarray_calc_size64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_calc_size_fn_t = llvm_usize.fn_type(
&[llvm_pusize.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
false,
);
let ndarray_calc_size_fn =
ctx.module.get_function(ndarray_calc_size_fn_name).unwrap_or_else(|| {
ctx.module.add_function(ndarray_calc_size_fn_name, ndarray_calc_size_fn_t, None)
});
let begin = begin.unwrap_or_else(|| llvm_usize.const_zero());
let end = end.unwrap_or_else(|| dims.size(ctx, generator));
ctx.builder
.build_call(
ndarray_calc_size_fn,
&[
dims.base_ptr(ctx, generator).into(),
dims.size(ctx, generator).into(),
begin.into(),
end.into(),
],
"",
)
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Generates a call to `__nac3_ndarray_calc_nd_indices`. Returns a [`TypeArrayLikeAdpater`]
/// containing `i32` indices of the flattened index.
///
/// * `index` - The index to compute the multidimensional index for.
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
/// `NDArray`.
pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &mut CodeGenContext<'ctx, '_>,
index: IntValue<'ctx>,
ndarray: NDArrayValue<'ctx>,
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
let llvm_void = ctx.ctx.void_type();
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_nd_indices_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_nd_indices",
64 => "__nac3_ndarray_calc_nd_indices64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_calc_nd_indices_fn =
ctx.module.get_function(ndarray_calc_nd_indices_fn_name).unwrap_or_else(|| {
let fn_type = llvm_void.fn_type(
&[llvm_usize.into(), llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into()],
false,
);
ctx.module.add_function(ndarray_calc_nd_indices_fn_name, fn_type, None)
});
let ndarray_num_dims = ndarray.load_ndims(ctx);
let ndarray_dims = ndarray.dim_sizes();
let indices = ctx.builder.build_array_alloca(llvm_i32, ndarray_num_dims, "").unwrap();
ctx.builder
.build_call(
ndarray_calc_nd_indices_fn,
&[
index.into(),
ndarray_dims.base_ptr(ctx, generator).into(),
ndarray_num_dims.into(),
indices.into(),
],
"",
)
.unwrap();
TypedArrayLikeAdapter::from(
ArraySliceValue::from_ptr_val(indices, ndarray_num_dims, None),
Box::new(|_, v| v.into_int_value()),
Box::new(|_, v| v.into()),
)
}
fn call_ndarray_flatten_index_impl<'ctx, G, Indices>(
generator: &G,
ctx: &CodeGenContext<'ctx, '_>,
ndarray: NDArrayValue<'ctx>,
indices: &Indices,
) -> IntValue<'ctx>
where
G: CodeGenerator + ?Sized,
Indices: ArrayLikeIndexer<'ctx>,
{
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
debug_assert_eq!(
IntType::try_from(indices.element_type(ctx, generator))
.map(IntType::get_bit_width)
.unwrap_or_default(),
llvm_i32.get_bit_width(),
"Expected i32 value for argument `indices` to `call_ndarray_flatten_index_impl`"
);
debug_assert_eq!(
indices.size(ctx, generator).get_type().get_bit_width(),
llvm_usize.get_bit_width(),
"Expected usize integer value for argument `indices_size` to `call_ndarray_flatten_index_impl`"
);
let ndarray_flatten_index_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_flatten_index",
64 => "__nac3_ndarray_flatten_index64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_flatten_index_fn =
ctx.module.get_function(ndarray_flatten_index_fn_name).unwrap_or_else(|| {
let fn_type = llvm_usize.fn_type(
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_usize.into()],
false,
);
ctx.module.add_function(ndarray_flatten_index_fn_name, fn_type, None)
});
let ndarray_num_dims = ndarray.load_ndims(ctx);
let ndarray_dims = ndarray.dim_sizes();
let index = ctx
.builder
.build_call(
ndarray_flatten_index_fn,
&[
ndarray_dims.base_ptr(ctx, generator).into(),
ndarray_num_dims.into(),
indices.base_ptr(ctx, generator).into(),
indices.size(ctx, generator).into(),
],
"",
)
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap();
index
}
/// Generates a call to `__nac3_ndarray_flatten_index`. Returns the flattened index for the
/// multidimensional index.
///
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
/// `NDArray`.
/// * `indices` - The multidimensional index to compute the flattened index for.
pub fn call_ndarray_flatten_index<'ctx, G, Index>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
ndarray: NDArrayValue<'ctx>,
indices: &Index,
) -> IntValue<'ctx>
where
G: CodeGenerator + ?Sized,
Index: ArrayLikeIndexer<'ctx>,
{
call_ndarray_flatten_index_impl(generator, ctx, ndarray, indices)
}
/// Generates a call to `__nac3_ndarray_calc_broadcast`. Returns a tuple containing the number of
/// dimension and size of each dimension of the resultant `ndarray`.
pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
lhs: NDArrayValue<'ctx>,
rhs: NDArrayValue<'ctx>,
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_broadcast",
64 => "__nac3_ndarray_calc_broadcast64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_calc_broadcast_fn =
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
let fn_type = llvm_usize.fn_type(
&[
llvm_pusize.into(),
llvm_usize.into(),
llvm_pusize.into(),
llvm_usize.into(),
llvm_pusize.into(),
],
false,
);
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
});
let lhs_ndims = lhs.load_ndims(ctx);
let rhs_ndims = rhs.load_ndims(ctx);
let min_ndims = llvm_intrinsics::call_int_umin(ctx, lhs_ndims, rhs_ndims, None);
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(min_ndims, false),
|generator, ctx, _, idx| {
let idx = ctx.builder.build_int_sub(min_ndims, idx, "").unwrap();
let (lhs_dim_sz, rhs_dim_sz) = unsafe {
(
lhs.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None),
rhs.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None),
)
};
let llvm_usize_const_one = llvm_usize.const_int(1, false);
let lhs_eqz = ctx
.builder
.build_int_compare(IntPredicate::EQ, lhs_dim_sz, llvm_usize_const_one, "")
.unwrap();
let rhs_eqz = ctx
.builder
.build_int_compare(IntPredicate::EQ, rhs_dim_sz, llvm_usize_const_one, "")
.unwrap();
let lhs_or_rhs_eqz = ctx.builder.build_or(lhs_eqz, rhs_eqz, "").unwrap();
let lhs_eq_rhs = ctx
.builder
.build_int_compare(IntPredicate::EQ, lhs_dim_sz, rhs_dim_sz, "")
.unwrap();
let is_compatible = ctx.builder.build_or(lhs_or_rhs_eqz, lhs_eq_rhs, "").unwrap();
ctx.make_assert(
generator,
is_compatible,
"0:ValueError",
"operands could not be broadcast together",
[None, None, None],
ctx.current_loc,
);
Ok(())
},
llvm_usize.const_int(1, false),
)
.unwrap();
let max_ndims = llvm_intrinsics::call_int_umax(ctx, lhs_ndims, rhs_ndims, None);
let lhs_dims = lhs.dim_sizes().base_ptr(ctx, generator);
let lhs_ndims = lhs.load_ndims(ctx);
let rhs_dims = rhs.dim_sizes().base_ptr(ctx, generator);
let rhs_ndims = rhs.load_ndims(ctx);
let out_dims = ctx.builder.build_array_alloca(llvm_usize, max_ndims, "").unwrap();
let out_dims = ArraySliceValue::from_ptr_val(out_dims, max_ndims, None);
ctx.builder
.build_call(
ndarray_calc_broadcast_fn,
&[
lhs_dims.into(),
lhs_ndims.into(),
rhs_dims.into(),
rhs_ndims.into(),
out_dims.base_ptr(ctx, generator).into(),
],
"",
)
.unwrap();
TypedArrayLikeAdapter::from(
out_dims,
Box::new(|_, v| v.into_int_value()),
Box::new(|_, v| v.into()),
)
}
/// Generates a call to `__nac3_ndarray_calc_broadcast_idx`. Returns an [`ArrayAllocaValue`]
/// containing the indices used for accessing `array` corresponding to the index of the broadcasted
/// array `broadcast_idx`.
pub fn call_ndarray_calc_broadcast_index<
'ctx,
G: CodeGenerator + ?Sized,
BroadcastIdx: UntypedArrayLikeAccessor<'ctx>,
>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
array: NDArrayValue<'ctx>,
broadcast_idx: &BroadcastIdx,
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_broadcast_idx",
64 => "__nac3_ndarray_calc_broadcast_idx64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_calc_broadcast_fn =
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
let fn_type = llvm_usize.fn_type(
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_pi32.into()],
false,
);
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
});
let broadcast_size = broadcast_idx.size(ctx, generator);
let out_idx = ctx.builder.build_array_alloca(llvm_i32, broadcast_size, "").unwrap();
let array_dims = array.dim_sizes().base_ptr(ctx, generator);
let array_ndims = array.load_ndims(ctx);
let broadcast_idx_ptr = unsafe {
broadcast_idx.ptr_offset_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
};
ctx.builder
.build_call(
ndarray_calc_broadcast_fn,
&[array_dims.into(), array_ndims.into(), broadcast_idx_ptr.into(), out_idx.into()],
"",
)
.unwrap();
TypedArrayLikeAdapter::from(
ArraySliceValue::from_ptr_val(out_idx, broadcast_size, None),
Box::new(|_, v| v.into_int_value()),
Box::new(|_, v| v.into()),
)
}

384
nac3core/src/codegen/irrt/ndarray.rs Normal file
View File

@ -0,0 +1,384 @@
use inkwell::{
types::IntType,
values::{BasicValueEnum, CallSiteValue, IntValue},
AddressSpace, IntPredicate,
};
use itertools::Either;
use crate::codegen::{
llvm_intrinsics,
macros::codegen_unreachable,
stmt::gen_for_callback_incrementing,
values::{
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, NDArrayValue, TypedArrayLikeAccessor,
TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
},
CodeGenContext, CodeGenerator,
};
/// Generates a call to `__nac3_ndarray_calc_size`. Returns an [`IntValue`] representing the
/// calculated total size.
///
/// * `dims` - An [`ArrayLikeIndexer`] containing the size of each dimension.
/// * `range` - The dimension index to begin and end (exclusively) calculating the dimensions for,
/// or [`None`] if starting from the first dimension and ending at the last dimension
/// respectively.
pub fn call_ndarray_calc_size<'ctx, G, Dims>(
generator: &G,
ctx: &CodeGenContext<'ctx, '_>,
dims: &Dims,
(begin, end): (Option<IntValue<'ctx>>, Option<IntValue<'ctx>>),
) -> IntValue<'ctx>
where
G: CodeGenerator + ?Sized,
Dims: ArrayLikeIndexer<'ctx>,
{
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_size_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_size",
64 => "__nac3_ndarray_calc_size64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_calc_size_fn_t = llvm_usize.fn_type(
&[llvm_pusize.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
false,
);
let ndarray_calc_size_fn =
ctx.module.get_function(ndarray_calc_size_fn_name).unwrap_or_else(|| {
ctx.module.add_function(ndarray_calc_size_fn_name, ndarray_calc_size_fn_t, None)
});
let begin = begin.unwrap_or_else(|| llvm_usize.const_zero());
let end = end.unwrap_or_else(|| dims.size(ctx, generator));
ctx.builder
.build_call(
ndarray_calc_size_fn,
&[
dims.base_ptr(ctx, generator).into(),
dims.size(ctx, generator).into(),
begin.into(),
end.into(),
],
"",
)
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}
/// Generates a call to `__nac3_ndarray_calc_nd_indices`. Returns a [`TypeArrayLikeAdpater`]
/// containing `i32` indices of the flattened index.
///
/// * `index` - The index to compute the multidimensional index for.
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
/// `NDArray`.
pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &mut CodeGenContext<'ctx, '_>,
index: IntValue<'ctx>,
ndarray: NDArrayValue<'ctx>,
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
let llvm_void = ctx.ctx.void_type();
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_nd_indices_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_nd_indices",
64 => "__nac3_ndarray_calc_nd_indices64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_calc_nd_indices_fn =
ctx.module.get_function(ndarray_calc_nd_indices_fn_name).unwrap_or_else(|| {
let fn_type = llvm_void.fn_type(
&[llvm_usize.into(), llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into()],
false,
);
ctx.module.add_function(ndarray_calc_nd_indices_fn_name, fn_type, None)
});
let ndarray_num_dims = ndarray.load_ndims(ctx);
let ndarray_dims = ndarray.shape();
let indices = ctx.builder.build_array_alloca(llvm_i32, ndarray_num_dims, "").unwrap();
ctx.builder
.build_call(
ndarray_calc_nd_indices_fn,
&[
index.into(),
ndarray_dims.base_ptr(ctx, generator).into(),
ndarray_num_dims.into(),
indices.into(),
],
"",
)
.unwrap();
TypedArrayLikeAdapter::from(
ArraySliceValue::from_ptr_val(indices, ndarray_num_dims, None),
Box::new(|_, v| v.into_int_value()),
Box::new(|_, v| v.into()),
)
}
fn call_ndarray_flatten_index_impl<'ctx, G, Indices>(
generator: &G,
ctx: &CodeGenContext<'ctx, '_>,
ndarray: NDArrayValue<'ctx>,
indices: &Indices,
) -> IntValue<'ctx>
where
G: CodeGenerator + ?Sized,
Indices: ArrayLikeIndexer<'ctx>,
{
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
debug_assert_eq!(
IntType::try_from(indices.element_type(ctx, generator))
.map(IntType::get_bit_width)
.unwrap_or_default(),
llvm_i32.get_bit_width(),
"Expected i32 value for argument `indices` to `call_ndarray_flatten_index_impl`"
);
debug_assert_eq!(
indices.size(ctx, generator).get_type().get_bit_width(),
llvm_usize.get_bit_width(),
"Expected usize integer value for argument `indices_size` to `call_ndarray_flatten_index_impl`"
);
let ndarray_flatten_index_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_flatten_index",
64 => "__nac3_ndarray_flatten_index64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_flatten_index_fn =
ctx.module.get_function(ndarray_flatten_index_fn_name).unwrap_or_else(|| {
let fn_type = llvm_usize.fn_type(
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_usize.into()],
false,
);
ctx.module.add_function(ndarray_flatten_index_fn_name, fn_type, None)
});
let ndarray_num_dims = ndarray.load_ndims(ctx);
let ndarray_dims = ndarray.shape();
let index = ctx
.builder
.build_call(
ndarray_flatten_index_fn,
&[
ndarray_dims.base_ptr(ctx, generator).into(),
ndarray_num_dims.into(),
indices.base_ptr(ctx, generator).into(),
indices.size(ctx, generator).into(),
],
"",
)
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap();
index
}
/// Generates a call to `__nac3_ndarray_flatten_index`. Returns the flattened index for the
/// multidimensional index.
///
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
/// `NDArray`.
/// * `indices` - The multidimensional index to compute the flattened index for.
pub fn call_ndarray_flatten_index<'ctx, G, Index>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
ndarray: NDArrayValue<'ctx>,
indices: &Index,
) -> IntValue<'ctx>
where
G: CodeGenerator + ?Sized,
Index: ArrayLikeIndexer<'ctx>,
{
call_ndarray_flatten_index_impl(generator, ctx, ndarray, indices)
}
/// Generates a call to `__nac3_ndarray_calc_broadcast`. Returns a tuple containing the number of
/// dimension and size of each dimension of the resultant `ndarray`.
pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
lhs: NDArrayValue<'ctx>,
rhs: NDArrayValue<'ctx>,
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_broadcast",
64 => "__nac3_ndarray_calc_broadcast64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_calc_broadcast_fn =
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
let fn_type = llvm_usize.fn_type(
&[
llvm_pusize.into(),
llvm_usize.into(),
llvm_pusize.into(),
llvm_usize.into(),
llvm_pusize.into(),
],
false,
);
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
});
let lhs_ndims = lhs.load_ndims(ctx);
let rhs_ndims = rhs.load_ndims(ctx);
let min_ndims = llvm_intrinsics::call_int_umin(ctx, lhs_ndims, rhs_ndims, None);
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(min_ndims, false),
|generator, ctx, _, idx| {
let idx = ctx.builder.build_int_sub(min_ndims, idx, "").unwrap();
let (lhs_dim_sz, rhs_dim_sz) = unsafe {
(
lhs.shape().get_typed_unchecked(ctx, generator, &idx, None),
rhs.shape().get_typed_unchecked(ctx, generator, &idx, None),
)
};
let llvm_usize_const_one = llvm_usize.const_int(1, false);
let lhs_eqz = ctx
.builder
.build_int_compare(IntPredicate::EQ, lhs_dim_sz, llvm_usize_const_one, "")
.unwrap();
let rhs_eqz = ctx
.builder
.build_int_compare(IntPredicate::EQ, rhs_dim_sz, llvm_usize_const_one, "")
.unwrap();
let lhs_or_rhs_eqz = ctx.builder.build_or(lhs_eqz, rhs_eqz, "").unwrap();
let lhs_eq_rhs = ctx
.builder
.build_int_compare(IntPredicate::EQ, lhs_dim_sz, rhs_dim_sz, "")
.unwrap();
let is_compatible = ctx.builder.build_or(lhs_or_rhs_eqz, lhs_eq_rhs, "").unwrap();
ctx.make_assert(
generator,
is_compatible,
"0:ValueError",
"operands could not be broadcast together",
[None, None, None],
ctx.current_loc,
);
Ok(())
},
llvm_usize.const_int(1, false),
)
.unwrap();
let max_ndims = llvm_intrinsics::call_int_umax(ctx, lhs_ndims, rhs_ndims, None);
let lhs_dims = lhs.shape().base_ptr(ctx, generator);
let lhs_ndims = lhs.load_ndims(ctx);
let rhs_dims = rhs.shape().base_ptr(ctx, generator);
let rhs_ndims = rhs.load_ndims(ctx);
let out_dims = ctx.builder.build_array_alloca(llvm_usize, max_ndims, "").unwrap();
let out_dims = ArraySliceValue::from_ptr_val(out_dims, max_ndims, None);
ctx.builder
.build_call(
ndarray_calc_broadcast_fn,
&[
lhs_dims.into(),
lhs_ndims.into(),
rhs_dims.into(),
rhs_ndims.into(),
out_dims.base_ptr(ctx, generator).into(),
],
"",
)
.unwrap();
TypedArrayLikeAdapter::from(
out_dims,
Box::new(|_, v| v.into_int_value()),
Box::new(|_, v| v.into()),
)
}
/// Generates a call to `__nac3_ndarray_calc_broadcast_idx`. Returns an [`ArrayAllocaValue`]
/// containing the indices used for accessing `array` corresponding to the index of the broadcasted
/// array `broadcast_idx`.
pub fn call_ndarray_calc_broadcast_index<
'ctx,
G: CodeGenerator + ?Sized,
BroadcastIdx: UntypedArrayLikeAccessor<'ctx>,
>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
array: NDArrayValue<'ctx>,
broadcast_idx: &BroadcastIdx,
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
let llvm_i32 = ctx.ctx.i32_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
32 => "__nac3_ndarray_calc_broadcast_idx",
64 => "__nac3_ndarray_calc_broadcast_idx64",
bw => codegen_unreachable!(ctx, "Unsupported size type bit width: {}", bw),
};
let ndarray_calc_broadcast_fn =
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
let fn_type = llvm_usize.fn_type(
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_pi32.into()],
false,
);
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
});
let broadcast_size = broadcast_idx.size(ctx, generator);
let out_idx = ctx.builder.build_array_alloca(llvm_i32, broadcast_size, "").unwrap();
let array_dims = array.shape().base_ptr(ctx, generator);
let array_ndims = array.load_ndims(ctx);
let broadcast_idx_ptr = unsafe {
broadcast_idx.ptr_offset_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
};
ctx.builder
.build_call(
ndarray_calc_broadcast_fn,
&[array_dims.into(), array_ndims.into(), broadcast_idx_ptr.into(), out_idx.into()],
"",
)
.unwrap();
TypedArrayLikeAdapter::from(
ArraySliceValue::from_ptr_val(out_idx, broadcast_size, None),
Box::new(|_, v| v.into_int_value()),
Box::new(|_, v| v.into()),
)
}

76
nac3core/src/codegen/irrt/slice.rs Normal file
View File

@ -0,0 +1,76 @@
use inkwell::{
values::{BasicValueEnum, CallSiteValue, IntValue},
IntPredicate,
};
use itertools::Either;
use nac3parser::ast::Expr;
use crate::{
codegen::{CodeGenContext, CodeGenerator},
typecheck::typedef::Type,
};
/// this function allows index out of range, since python
/// allows index out of range in slice (`a = [1,2,3]; a[1:10] == [2,3]`).
pub fn handle_slice_index_bound<'ctx, G: CodeGenerator>(
i: &Expr<Option<Type>>,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
length: IntValue<'ctx>,
) -> Result<Option<IntValue<'ctx>>, String> {
const SYMBOL: &str = "__nac3_slice_index_bound";
let func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
let i32_t = ctx.ctx.i32_type();
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into()], false);
ctx.module.add_function(SYMBOL, fn_t, None)
});
let i = if let Some(v) = generator.gen_expr(ctx, i)? {
v.to_basic_value_enum(ctx, generator, i.custom.unwrap())?
} else {
return Ok(None);
};
Ok(Some(
ctx.builder
.build_call(func, &[i.into(), length.into()], "bounded_ind")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap(),
))
}
pub fn calculate_len_for_slice_range<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
start: IntValue<'ctx>,
end: IntValue<'ctx>,
step: IntValue<'ctx>,
) -> IntValue<'ctx> {
const SYMBOL: &str = "__nac3_range_slice_len";
let len_func = ctx.module.get_function(SYMBOL).unwrap_or_else(|| {
let i32_t = ctx.ctx.i32_type();
let fn_t = i32_t.fn_type(&[i32_t.into(), i32_t.into(), i32_t.into()], false);
ctx.module.add_function(SYMBOL, fn_t, None)
});
// assert step != 0, throw exception if not
let not_zero = ctx
.builder
.build_int_compare(IntPredicate::NE, step, step.get_type().const_zero(), "range_step_ne")
.unwrap();
ctx.make_assert(
generator,
not_zero,
"0:ValueError",
"step must not be zero",
[None, None, None],
ctx.current_loc,
);
ctx.builder
.build_call(len_func, &[start.into(), end.into(), step.into()], "calc_len")
.map(CallSiteValue::try_as_basic_value)
.map(|v| v.map_left(BasicValueEnum::into_int_value))
.map(Either::unwrap_left)
.unwrap()
}

5
nac3core/src/codegen/mod.rs
View File

@ -36,12 +36,11 @@ use crate::{
typedef::{CallId, FuncArg, Type, TypeEnum, Unifier},
},
};
use classes::{ListType, NDArrayType, ProxyType, RangeType};
use concrete_type::{ConcreteType, ConcreteTypeEnum, ConcreteTypeStore};
pub use generator::{CodeGenerator, DefaultCodeGenerator};
use types::{ListType, NDArrayType, ProxyType, RangeType};
pub mod builtin_fns;
pub mod classes;
pub mod concrete_type;
pub mod expr;
pub mod extern_fns;
@ -50,6 +49,8 @@ pub mod irrt;
pub mod llvm_intrinsics;
pub mod numpy;
pub mod stmt;
pub mod types;
pub mod values;
#[cfg(test)]
mod test;

308
nac3core/src/codegen/numpy.rs
View File

@ -7,11 +7,6 @@ use inkwell::{
use nac3parser::ast::{Operator, StrRef};
use super::{
classes::{
ArrayLikeIndexer, ArrayLikeValue, ListType, ListValue, NDArrayType, NDArrayValue,
ProxyType, ProxyValue, TypedArrayLikeAccessor, TypedArrayLikeAdapter,
TypedArrayLikeMutator, UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
},
expr::gen_binop_expr_with_values,
irrt::{
calculate_len_for_slice_range, call_ndarray_calc_broadcast,
@ -20,12 +15,18 @@ use super::{
llvm_intrinsics::{self, call_memcpy_generic},
macros::codegen_unreachable,
stmt::{gen_for_callback_incrementing, gen_for_range_callback, gen_if_else_expr_callback},
types::{ListType, NDArrayType, ProxyType},
values::{
ArrayLikeIndexer, ArrayLikeValue, ListValue, NDArrayValue, ProxyValue,
TypedArrayLikeAccessor, TypedArrayLikeAdapter, TypedArrayLikeMutator,
UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
},
CodeGenContext, CodeGenerator,
};
use crate::{
symbol_resolver::ValueEnum,
toplevel::{
helper::PrimDef,
helper::{arraylike_flatten_element_type, PrimDef},
numpy::{make_ndarray_ty, unpack_ndarray_var_tys},
DefinitionId,
},
@ -41,6 +42,7 @@ fn create_ndarray_uninitialized<'ctx, G: CodeGenerator + ?Sized>(
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: Type,
) -> Result<NDArrayValue<'ctx>, String> {
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let ndarray_ty = make_ndarray_ty(&mut ctx.unifier, &ctx.primitives, Some(elem_ty), None);
let llvm_usize = generator.get_size_type(ctx.ctx);
@ -53,7 +55,7 @@ fn create_ndarray_uninitialized<'ctx, G: CodeGenerator + ?Sized>(
let ndarray = generator.gen_var_alloc(ctx, llvm_ndarray_t.into(), None)?;
Ok(NDArrayValue::from_ptr_val(ndarray, llvm_usize, None))
Ok(NDArrayValue::from_pointer_value(ndarray, llvm_elem_ty, llvm_usize, None))
}
/// Creates an `NDArray` instance from a dynamic shape.
@ -126,7 +128,7 @@ where
ndarray.store_ndims(ctx, generator, num_dims);
let ndarray_num_dims = ndarray.load_ndims(ctx);
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
ndarray.create_shape(ctx, llvm_usize, ndarray_num_dims);
// Copy the dimension sizes from shape to ndarray.dims
let shape_len = shape_len_fn(generator, ctx, shape)?;
@ -142,7 +144,7 @@ where
let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
let ndarray_pdim =
unsafe { ndarray.dim_sizes().ptr_offset_unchecked(ctx, generator, &i, None) };
unsafe { ndarray.shape().ptr_offset_unchecked(ctx, generator, &i, None) };
ctx.builder.build_store(ndarray_pdim, shape_dim).unwrap();
@ -193,12 +195,12 @@ pub fn create_ndarray_const_shape<'ctx, G: CodeGenerator + ?Sized>(
ndarray.store_ndims(ctx, generator, num_dims);
let ndarray_num_dims = ndarray.load_ndims(ctx);
ndarray.create_dim_sizes(ctx, llvm_usize, ndarray_num_dims);
ndarray.create_shape(ctx, llvm_usize, ndarray_num_dims);
for (i, &shape_dim) in shape.iter().enumerate() {
let shape_dim = ctx.builder.build_int_z_extend(shape_dim, llvm_usize, "").unwrap();
let ndarray_dim = unsafe {
ndarray.dim_sizes().ptr_offset_unchecked(
ndarray.shape().ptr_offset_unchecked(
ctx,
generator,
&llvm_usize.const_int(i as u64, true),
@ -227,7 +229,7 @@ fn ndarray_init_data<'ctx, G: CodeGenerator + ?Sized>(
let ndarray_num_elems = call_ndarray_calc_size(
generator,
ctx,
&ndarray.dim_sizes().as_slice_value(ctx, generator),
&ndarray.shape().as_slice_value(ctx, generator),
(None, None),
);
ndarray.create_data(ctx, llvm_ndarray_data_t, ndarray_num_elems);
@ -313,11 +315,11 @@ fn call_ndarray_empty_impl<'ctx, G: CodeGenerator + ?Sized>(
match shape {
BasicValueEnum::PointerValue(shape_list_ptr)
if ListValue::is_instance(shape_list_ptr, llvm_usize).is_ok() =>
if ListValue::is_representable(shape_list_ptr, llvm_usize).is_ok() =>
{
// 1. A list of ints; e.g., `np.empty([600, 800, 3])`
let shape_list = ListValue::from_ptr_val(shape_list_ptr, llvm_usize, None);
let shape_list = ListValue::from_pointer_value(shape_list_ptr, llvm_usize, None);
create_ndarray_dyn_shape(
generator,
ctx,
@ -378,7 +380,7 @@ where
let ndarray_num_elems = call_ndarray_calc_size(
generator,
ctx,
&ndarray.dim_sizes().as_slice_value(ctx, generator),
&ndarray.shape().as_slice_value(ctx, generator),
(None, None),
);
@ -472,8 +474,8 @@ fn ndarray_broadcast_fill<'ctx, 'a, G, ValueFn>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, 'a>,
res: NDArrayValue<'ctx>,
lhs: (BasicValueEnum<'ctx>, bool),
rhs: (BasicValueEnum<'ctx>, bool),
lhs: (Type, BasicValueEnum<'ctx>, bool),
rhs: (Type, BasicValueEnum<'ctx>, bool),
value_fn: ValueFn,
) -> Result<NDArrayValue<'ctx>, String>
where
@ -486,8 +488,8 @@ where
{
let llvm_usize = generator.get_size_type(ctx.ctx);
let (lhs_val, lhs_scalar) = lhs;
let (rhs_val, rhs_scalar) = rhs;
let (lhs_ty, lhs_val, lhs_scalar) = lhs;
let (rhs_ty, rhs_val, rhs_scalar) = rhs;
assert!(
!(lhs_scalar && rhs_scalar),
@ -498,12 +500,26 @@ where
// Assert that all ndarray operands are broadcastable to the target size
if !lhs_scalar {
let lhs_val = NDArrayValue::from_ptr_val(lhs_val.into_pointer_value(), llvm_usize, None);
let lhs_dtype = arraylike_flatten_element_type(&mut ctx.unifier, lhs_ty);
let llvm_lhs_elem_ty = ctx.get_llvm_type(generator, lhs_dtype);
let lhs_val = NDArrayValue::from_pointer_value(
lhs_val.into_pointer_value(),
llvm_lhs_elem_ty,
llvm_usize,
None,
);
ndarray_assert_is_broadcastable(generator, ctx, res, lhs_val);
}
if !rhs_scalar {
let rhs_val = NDArrayValue::from_ptr_val(rhs_val.into_pointer_value(), llvm_usize, None);
let rhs_dtype = arraylike_flatten_element_type(&mut ctx.unifier, rhs_ty);
let llvm_rhs_elem_ty = ctx.get_llvm_type(generator, rhs_dtype);
let rhs_val = NDArrayValue::from_pointer_value(
rhs_val.into_pointer_value(),
llvm_rhs_elem_ty,
llvm_usize,
None,
);
ndarray_assert_is_broadcastable(generator, ctx, res, rhs_val);
}
@ -511,7 +527,14 @@ where
let lhs_elem = if lhs_scalar {
lhs_val
} else {
let lhs = NDArrayValue::from_ptr_val(lhs_val.into_pointer_value(), llvm_usize, None);
let lhs_dtype = arraylike_flatten_element_type(&mut ctx.unifier, lhs_ty);
let llvm_lhs_elem_ty = ctx.get_llvm_type(generator, lhs_dtype);
let lhs = NDArrayValue::from_pointer_value(
lhs_val.into_pointer_value(),
llvm_lhs_elem_ty,
llvm_usize,
None,
);
let lhs_idx = call_ndarray_calc_broadcast_index(generator, ctx, lhs, idx);
unsafe { lhs.data().get_unchecked(ctx, generator, &lhs_idx, None) }
@ -520,7 +543,14 @@ where
let rhs_elem = if rhs_scalar {
rhs_val
} else {
let rhs = NDArrayValue::from_ptr_val(rhs_val.into_pointer_value(), llvm_usize, None);
let rhs_dtype = arraylike_flatten_element_type(&mut ctx.unifier, rhs_ty);
let llvm_rhs_elem_ty = ctx.get_llvm_type(generator, rhs_dtype);
let rhs = NDArrayValue::from_pointer_value(
rhs_val.into_pointer_value(),
llvm_rhs_elem_ty,
llvm_usize,
None,
);
let rhs_idx = call_ndarray_calc_broadcast_index(generator, ctx, rhs, idx);
unsafe { rhs.data().get_unchecked(ctx, generator, &rhs_idx, None) }
@ -646,11 +676,15 @@ fn llvm_ndlist_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
let ndims = llvm_usize.const_int(1, false);
match list_elem_ty {
AnyTypeEnum::PointerType(ptr_ty) if ListType::is_type(ptr_ty, llvm_usize).is_ok() => {
AnyTypeEnum::PointerType(ptr_ty)
if ListType::is_representable(ptr_ty, llvm_usize).is_ok() =>
{
ndims.const_add(llvm_ndlist_get_ndims(generator, ctx, ptr_ty))
}
AnyTypeEnum::PointerType(ptr_ty) if NDArrayType::is_type(ptr_ty, llvm_usize).is_ok() => {
AnyTypeEnum::PointerType(ptr_ty)
if NDArrayType::is_representable(ptr_ty, llvm_usize).is_ok() =>
{
todo!("Getting ndims for list[ndarray] not supported")
}
@ -662,16 +696,20 @@ fn llvm_ndlist_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
fn llvm_arraylike_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
value: BasicValueEnum<'ctx>,
(ty, value): (Type, BasicValueEnum<'ctx>),
) -> IntValue<'ctx> {
let llvm_usize = generator.get_size_type(ctx.ctx);
match value {
BasicValueEnum::PointerValue(v) if NDArrayValue::is_instance(v, llvm_usize).is_ok() => {
NDArrayValue::from_ptr_val(v, llvm_usize, None).load_ndims(ctx)
BasicValueEnum::PointerValue(v)
if NDArrayValue::is_representable(v, llvm_usize).is_ok() =>
{
let dtype = arraylike_flatten_element_type(&mut ctx.unifier, ty);
let llvm_elem_ty = ctx.get_llvm_type(generator, dtype);
NDArrayValue::from_pointer_value(v, llvm_elem_ty, llvm_usize, None).load_ndims(ctx)
}
BasicValueEnum::PointerValue(v) if ListValue::is_instance(v, llvm_usize).is_ok() => {
BasicValueEnum::PointerValue(v) if ListValue::is_representable(v, llvm_usize).is_ok() => {
llvm_ndlist_get_ndims(generator, ctx, v.get_type())
}
@ -683,7 +721,6 @@ fn llvm_arraylike_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: Type,
(dst_arr, dst_slice_ptr): (NDArrayValue<'ctx>, PointerValue<'ctx>),
src_lst: ListValue<'ctx>,
dim: u64,
@ -694,13 +731,15 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
let list_elem_ty = src_lst.get_type().element_type();
match list_elem_ty {
AnyTypeEnum::PointerType(ptr_ty) if ListType::is_type(ptr_ty, llvm_usize).is_ok() => {
AnyTypeEnum::PointerType(ptr_ty)
if ListType::is_representable(ptr_ty, llvm_usize).is_ok() =>
{
// The stride of elements in this dimension, i.e. the number of elements between arr[i]
// and arr[i + 1] in this dimension
let stride = call_ndarray_calc_size(
generator,
ctx,
&dst_arr.dim_sizes(),
&dst_arr.shape(),
(Some(llvm_usize.const_int(dim + 1, false)), None),
);
@ -714,11 +753,25 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
|_, _| Ok(llvm_usize.const_int(1, false)),
|generator, ctx, _, i| {
let offset = ctx.builder.build_int_mul(stride, i, "").unwrap();
let offset = ctx
.builder
.build_int_mul(
offset,
ctx.builder
.build_int_truncate_or_bit_cast(
dst_arr.get_type().element_type().size_of().unwrap(),
offset.get_type(),
"",
)
.unwrap(),
"",
)
.unwrap();
let dst_ptr =
unsafe { ctx.builder.build_gep(dst_slice_ptr, &[offset], "").unwrap() };
let nested_lst_elem = ListValue::from_ptr_val(
let nested_lst_elem = ListValue::from_pointer_value(
unsafe { src_lst.data().get_unchecked(ctx, generator, &i, None) }
.into_pointer_value(),
llvm_usize,
@ -728,7 +781,6 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
ndarray_from_ndlist_impl(
generator,
ctx,
elem_ty,
(dst_arr, dst_ptr),
nested_lst_elem,
dim + 1,
@ -739,13 +791,15 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
)?;
}
AnyTypeEnum::PointerType(ptr_ty) if NDArrayType::is_type(ptr_ty, llvm_usize).is_ok() => {
AnyTypeEnum::PointerType(ptr_ty)
if NDArrayType::is_representable(ptr_ty, llvm_usize).is_ok() =>
{
todo!("Not implemented for list[ndarray]")
}
_ => {
let lst_len = src_lst.load_size(ctx, None);
let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
let sizeof_elem = dst_arr.get_type().element_type().size_of().unwrap();
let sizeof_elem = ctx.builder.build_int_cast(sizeof_elem, llvm_usize, "").unwrap();
let cpy_len = ctx
@ -800,8 +854,9 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
let object = object.into_pointer_value();
// object is an NDArray instance - copy object unless copy=0 && ndmin < object.ndims
if NDArrayValue::is_instance(object, llvm_usize).is_ok() {
let object = NDArrayValue::from_ptr_val(object, llvm_usize, None);
if NDArrayValue::is_representable(object, llvm_usize).is_ok() {
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let object = NDArrayValue::from_pointer_value(object, llvm_elem_ty, llvm_usize, None);
let ndarray = gen_if_else_expr_callback(
generator,
@ -863,7 +918,6 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
ndarray_sliced_copyto_impl(
generator,
ctx,
elem_ty,
(ndarray, ndarray.data().base_ptr(ctx, generator)),
(object, object.data().base_ptr(ctx, generator)),
0,
@ -875,16 +929,17 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|_, _| Ok(Some(object.as_base_value())),
)?;
return Ok(NDArrayValue::from_ptr_val(
return Ok(NDArrayValue::from_pointer_value(
ndarray.map(BasicValueEnum::into_pointer_value).unwrap(),
llvm_elem_ty,
llvm_usize,
None,
));
}
// Remaining case: TList
assert!(ListValue::is_instance(object, llvm_usize).is_ok());
let object = ListValue::from_ptr_val(object, llvm_usize, None);
assert!(ListValue::is_representable(object, llvm_usize).is_ok());
let object = ListValue::from_pointer_value(object, llvm_usize, None);
// The number of dimensions to prepend 1's to
let ndims = llvm_ndlist_get_ndims(generator, ctx, object.as_base_value().get_type());
@ -964,7 +1019,8 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
.map(|v| ctx.builder.build_bit_cast(v, plist_plist_i8, "").unwrap())
.map(BasicValueEnum::into_pointer_value)
.unwrap();
let this_dim = ListValue::from_ptr_val(this_dim, llvm_usize, None);
let this_dim =
ListValue::from_pointer_value(this_dim, llvm_usize, None);
// TODO: Assert this_dim.sz != 0
@ -990,7 +1046,7 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
},
)?;
let lst = ListValue::from_ptr_val(
let lst = ListValue::from_pointer_value(
ctx.builder
.build_load(lst, "")
.map(BasicValueEnum::into_pointer_value)
@ -1010,7 +1066,6 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
ndarray_from_ndlist_impl(
generator,
ctx,
elem_ty,
(ndarray, ndarray.data().base_ptr(ctx, generator)),
object,
0,
@ -1083,7 +1138,6 @@ fn call_ndarray_eye_impl<'ctx, G: CodeGenerator + ?Sized>(
fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: Type,
(dst_arr, dst_slice_ptr): (NDArrayValue<'ctx>, PointerValue<'ctx>),
(src_arr, src_slice_ptr): (NDArrayValue<'ctx>, PointerValue<'ctx>),
dim: u64,
@ -1092,14 +1146,16 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
let llvm_i1 = ctx.ctx.bool_type();
let llvm_usize = generator.get_size_type(ctx.ctx);
assert_eq!(dst_arr.get_type().element_type(), src_arr.get_type().element_type());
let sizeof_elem = dst_arr.get_type().element_type().size_of().unwrap();
// If there are no (remaining) slice expressions, memcpy the entire dimension
if slices.is_empty() {
let sizeof_elem = ctx.get_llvm_type(generator, elem_ty).size_of().unwrap();
let stride = call_ndarray_calc_size(
generator,
ctx,
&src_arr.dim_sizes(),
&src_arr.shape(),
(Some(llvm_usize.const_int(dim, false)), None),
);
let stride =
@ -1117,13 +1173,13 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
let src_stride = call_ndarray_calc_size(
generator,
ctx,
&src_arr.dim_sizes(),
&src_arr.shape(),
(Some(llvm_usize.const_int(dim + 1, false)), None),
);
let dst_stride = call_ndarray_calc_size(
generator,
ctx,
&dst_arr.dim_sizes(),
&dst_arr.shape(),
(Some(llvm_usize.const_int(dim + 1, false)), None),
);
@ -1146,9 +1202,29 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
|generator, ctx, _, src_i| {
// Calculate the offset of the active slice
let src_data_offset = ctx.builder.build_int_mul(src_stride, src_i, "").unwrap();
let src_data_offset = ctx
.builder
.build_int_mul(
src_data_offset,
ctx.builder
.build_int_cast(sizeof_elem, src_data_offset.get_type(), "")
.unwrap(),
"",
)
.unwrap();
let dst_i =
ctx.builder.build_load(dst_i_addr, "").map(BasicValueEnum::into_int_value).unwrap();
let dst_data_offset = ctx.builder.build_int_mul(dst_stride, dst_i, "").unwrap();
let dst_data_offset = ctx
.builder
.build_int_mul(
dst_data_offset,
ctx.builder
.build_int_cast(sizeof_elem, dst_data_offset.get_type(), "")
.unwrap(),
"",
)
.unwrap();
let (src_ptr, dst_ptr) = unsafe {
(
@ -1160,7 +1236,6 @@ fn ndarray_sliced_copyto_impl<'ctx, G: CodeGenerator + ?Sized>(
ndarray_sliced_copyto_impl(
generator,
ctx,
elem_ty,
(dst_arr, dst_ptr),
(src_arr, src_ptr),
dim + 1,
@ -1203,7 +1278,7 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
&this,
|_, ctx, shape| Ok(shape.load_ndims(ctx)),
|generator, ctx, shape, idx| unsafe {
Ok(shape.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
Ok(shape.shape().get_typed_unchecked(ctx, generator, &idx, None))
},
)?
} else {
@ -1211,7 +1286,7 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
ndarray.store_ndims(ctx, generator, this.load_ndims(ctx));
let ndims = this.load_ndims(ctx);
ndarray.create_dim_sizes(ctx, llvm_usize, ndims);
ndarray.create_shape(ctx, llvm_usize, ndims);
// Populate the first slices.len() dimensions by computing the size of each dim slice
for (i, (start, stop, step)) in slices.iter().enumerate() {
@ -1243,7 +1318,7 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
ctx.builder.build_int_z_extend_or_bit_cast(slice_len, llvm_usize, "").unwrap();
unsafe {
ndarray.dim_sizes().set_typed_unchecked(
ndarray.shape().set_typed_unchecked(
ctx,
generator,
&llvm_usize.const_int(i as u64, false),
@ -1261,8 +1336,8 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
(this.load_ndims(ctx), false),
|generator, ctx, _, idx| {
unsafe {
let dim_sz = this.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None);
ndarray.dim_sizes().set_typed_unchecked(ctx, generator, &idx, dim_sz);
let dim_sz = this.shape().get_typed_unchecked(ctx, generator, &idx, None);
ndarray.shape().set_typed_unchecked(ctx, generator, &idx, dim_sz);
}
Ok(())
@ -1277,7 +1352,6 @@ pub fn ndarray_sliced_copy<'ctx, G: CodeGenerator + ?Sized>(
ndarray_sliced_copyto_impl(
generator,
ctx,
elem_ty,
(ndarray, ndarray.data().base_ptr(ctx, generator)),
(this, this.data().base_ptr(ctx, generator)),
0,
@ -1323,7 +1397,7 @@ where
&operand,
|_, ctx, v| Ok(v.load_ndims(ctx)),
|generator, ctx, v, idx| unsafe {
Ok(v.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
Ok(v.shape().get_typed_unchecked(ctx, generator, &idx, None))
},
)
.unwrap()
@ -1360,8 +1434,8 @@ pub fn ndarray_elementwise_binop_impl<'ctx, 'a, G, ValueFn>(
ctx: &mut CodeGenContext<'ctx, 'a>,
elem_ty: Type,
res: Option<NDArrayValue<'ctx>>,
lhs: (BasicValueEnum<'ctx>, bool),
rhs: (BasicValueEnum<'ctx>, bool),
lhs: (Type, BasicValueEnum<'ctx>, bool),
rhs: (Type, BasicValueEnum<'ctx>, bool),
value_fn: ValueFn,
) -> Result<NDArrayValue<'ctx>, String>
where
@ -1374,8 +1448,8 @@ where
{
let llvm_usize = generator.get_size_type(ctx.ctx);
let (lhs_val, lhs_scalar) = lhs;
let (rhs_val, rhs_scalar) = rhs;
let (lhs_ty, lhs_val, lhs_scalar) = lhs;
let (rhs_ty, rhs_val, rhs_scalar) = rhs;
assert!(
!(lhs_scalar && rhs_scalar),
@ -1386,10 +1460,22 @@ where
let ndarray = res.unwrap_or_else(|| {
if lhs_scalar && rhs_scalar {
let lhs_val =
NDArrayValue::from_ptr_val(lhs_val.into_pointer_value(), llvm_usize, None);
let rhs_val =
NDArrayValue::from_ptr_val(rhs_val.into_pointer_value(), llvm_usize, None);
let lhs_dtype = arraylike_flatten_element_type(&mut ctx.unifier, lhs_ty);
let llvm_lhs_elem_ty = ctx.get_llvm_type(generator, lhs_dtype);
let lhs_val = NDArrayValue::from_pointer_value(
lhs_val.into_pointer_value(),
llvm_lhs_elem_ty,
llvm_usize,
None,
);
let rhs_dtype = arraylike_flatten_element_type(&mut ctx.unifier, rhs_ty);
let llvm_rhs_elem_ty = ctx.get_llvm_type(generator, rhs_dtype);
let rhs_val = NDArrayValue::from_pointer_value(
rhs_val.into_pointer_value(),
llvm_rhs_elem_ty,
llvm_usize,
None,
);
let ndarray_dims = call_ndarray_calc_broadcast(generator, ctx, lhs_val, rhs_val);
@ -1405,8 +1491,14 @@ where
)
.unwrap()
} else {
let ndarray = NDArrayValue::from_ptr_val(
let dtype = arraylike_flatten_element_type(
&mut ctx.unifier,
if lhs_scalar { rhs_ty } else { lhs_ty },
);
let llvm_elem_ty = ctx.get_llvm_type(generator, dtype);
let ndarray = NDArrayValue::from_pointer_value(
if lhs_scalar { rhs_val } else { lhs_val }.into_pointer_value(),
llvm_elem_ty,
llvm_usize,
None,
);
@ -1418,7 +1510,7 @@ where
&ndarray,
|_, ctx, v| Ok(v.load_ndims(ctx)),
|generator, ctx, v, idx| unsafe {
Ok(v.dim_sizes().get_typed_unchecked(ctx, generator, &idx, None))
Ok(v.shape().get_typed_unchecked(ctx, generator, &idx, None))
},
)
.unwrap()
@ -1479,10 +1571,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
if let Some(res) = res {
let res_ndims = res.load_ndims(ctx);
let res_dim0 = unsafe {
res.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
res.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
};
let res_dim1 = unsafe {
res.dim_sizes().get_typed_unchecked(
res.shape().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_int(1, false),
@ -1490,10 +1582,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
)
};
let lhs_dim0 = unsafe {
lhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
lhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
};
let rhs_dim1 = unsafe {
rhs.dim_sizes().get_typed_unchecked(
rhs.shape().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_int(1, false),
@ -1542,15 +1634,10 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
if ctx.registry.llvm_options.opt_level == OptimizationLevel::None {
let lhs_dim1 = unsafe {
lhs.dim_sizes().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_int(1, false),
None,
)
lhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_int(1, false), None)
};
let rhs_dim0 = unsafe {
rhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
rhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
};
// lhs.dims[1] == rhs.dims[0]
@ -1589,7 +1676,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
},
|generator, ctx| {
Ok(Some(unsafe {
lhs.dim_sizes().get_typed_unchecked(
lhs.shape().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_zero(),
@ -1599,7 +1686,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
},
|generator, ctx| {
Ok(Some(unsafe {
rhs.dim_sizes().get_typed_unchecked(
rhs.shape().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_int(1, false),
@ -1626,7 +1713,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
let common_dim = {
let lhs_idx1 = unsafe {
lhs.dim_sizes().get_typed_unchecked(
lhs.shape().get_typed_unchecked(
ctx,
generator,
&llvm_usize.const_int(1, false),
@ -1634,7 +1721,7 @@ pub fn ndarray_matmul_2d<'ctx, G: CodeGenerator>(
)
};
let rhs_idx0 = unsafe {
rhs.dim_sizes().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
rhs.shape().get_typed_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
};
let idx = llvm_intrinsics::call_expect(ctx, rhs_idx0, lhs_idx1, None);
@ -1965,11 +2052,18 @@ pub fn gen_ndarray_copy<'ctx>(
let this_arg =
obj.as_ref().unwrap().1.clone().to_basic_value_enum(context, generator, this_ty)?;
let llvm_elem_ty = context.get_llvm_type(generator, this_elem_ty);
ndarray_copy_impl(
generator,
context,
this_elem_ty,
NDArrayValue::from_ptr_val(this_arg.into_pointer_value(), llvm_usize, None),
NDArrayValue::from_pointer_value(
this_arg.into_pointer_value(),
llvm_elem_ty,
llvm_usize,
None,
),
)
.map(NDArrayValue::into)
}
@ -1988,6 +2082,7 @@ pub fn gen_ndarray_fill<'ctx>(
let llvm_usize = generator.get_size_type(context.ctx);
let this_ty = obj.as_ref().unwrap().0;
let this_elem_ty = arraylike_flatten_element_type(&mut context.unifier, this_ty);
let this_arg = obj
.as_ref()
.unwrap()
@ -1998,10 +2093,12 @@ pub fn gen_ndarray_fill<'ctx>(
let value_ty = fun.0.args[0].ty;
let value_arg = args[0].1.clone().to_basic_value_enum(context, generator, value_ty)?;
let llvm_elem_ty = context.get_llvm_type(generator, this_elem_ty);
ndarray_fill_flattened(
generator,
context,
NDArrayValue::from_ptr_val(this_arg, llvm_usize, None),
NDArrayValue::from_pointer_value(this_arg, llvm_elem_ty, llvm_usize, None),
|generator, ctx, _| {
let value = if value_arg.is_pointer_value() {
let llvm_i1 = ctx.ctx.bool_type();
@ -2042,8 +2139,9 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let n1 = NDArrayValue::from_pointer_value(n1, llvm_elem_ty, llvm_usize, None);
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
// Dimensions are reversed in the transposed array
let out = create_ndarray_dyn_shape(
@ -2058,7 +2156,7 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
.builder
.build_int_sub(new_idx, new_idx.get_type().const_int(1, false), "")
.unwrap();
unsafe { Ok(n.dim_sizes().get_typed_unchecked(ctx, generator, &new_idx, None)) }
unsafe { Ok(n.shape().get_typed_unchecked(ctx, generator, &new_idx, None)) }
},
)
.unwrap();
@ -2095,7 +2193,7 @@ pub fn ndarray_transpose<'ctx, G: CodeGenerator + ?Sized>(
.build_int_sub(ndim_rev, llvm_usize.const_int(1, false), "")
.unwrap();
let dim = unsafe {
n1.dim_sizes().get_typed_unchecked(ctx, generator, &ndim_rev, None)
n1.shape().get_typed_unchecked(ctx, generator, &ndim_rev, None)
};
let rem_idx_val =
@ -2161,8 +2259,9 @@ pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
if let BasicValueEnum::PointerValue(n1) = x1 {
let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, x1_ty);
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
let n1 = NDArrayValue::from_pointer_value(n1, llvm_elem_ty, llvm_usize, None);
let n_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
let acc = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
let num_neg = generator.gen_var_alloc(ctx, llvm_usize.into(), None)?;
@ -2171,11 +2270,11 @@ pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
let out = match shape {
BasicValueEnum::PointerValue(shape_list_ptr)
if ListValue::is_instance(shape_list_ptr, llvm_usize).is_ok() =>
if ListValue::is_representable(shape_list_ptr, llvm_usize).is_ok() =>
{
// 1. A list of ints; e.g., `np.reshape(arr, [int64(600), int64(800, -1])`
let shape_list = ListValue::from_ptr_val(shape_list_ptr, llvm_usize, None);
let shape_list = ListValue::from_pointer_value(shape_list_ptr, llvm_usize, None);
// Check for -1 in dimensions
gen_for_callback_incrementing(
generator,
@ -2390,7 +2489,7 @@ pub fn ndarray_reshape<'ctx, G: CodeGenerator + ?Sized>(
);
// The new shape must be compatible with the old shape
let out_sz = call_ndarray_calc_size(generator, ctx, &out.dim_sizes(), (None, None));
let out_sz = call_ndarray_calc_size(generator, ctx, &out.shape(), (None, None));
ctx.make_assert(
generator,
ctx.builder.build_int_compare(IntPredicate::EQ, out_sz, n_sz, "").unwrap(),
@ -2438,17 +2537,22 @@ pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
) -> Result<BasicValueEnum<'ctx>, String> {
const FN_NAME: &str = "ndarray_dot";
let (x1_ty, x1) = x1;
let (_, x2) = x2;
let (x2_ty, x2) = x2;
let llvm_usize = generator.get_size_type(ctx.ctx);
match (x1, x2) {
(BasicValueEnum::PointerValue(n1), BasicValueEnum::PointerValue(n2)) => {
let n1 = NDArrayValue::from_ptr_val(n1, llvm_usize, None);
let n2 = NDArrayValue::from_ptr_val(n2, llvm_usize, None);
let n1_dtype = arraylike_flatten_element_type(&mut ctx.unifier, x1_ty);
let n2_dtype = arraylike_flatten_element_type(&mut ctx.unifier, x2_ty);
let llvm_n1_data_ty = ctx.get_llvm_type(generator, n1_dtype);
let llvm_n2_data_ty = ctx.get_llvm_type(generator, n2_dtype);
let n1_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
let n2_sz = call_ndarray_calc_size(generator, ctx, &n1.dim_sizes(), (None, None));
let n1 = NDArrayValue::from_pointer_value(n1, llvm_n1_data_ty, llvm_usize, None);
let n2 = NDArrayValue::from_pointer_value(n2, llvm_n2_data_ty, llvm_usize, None);
let n1_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
let n2_sz = call_ndarray_calc_size(generator, ctx, &n1.shape(), (None, None));
ctx.make_assert(
generator,
@ -2485,7 +2589,7 @@ pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
.build_float_mul(e1, elem2.into_float_value(), "")
.unwrap()
.as_basic_value_enum(),
_ => codegen_unreachable!(ctx),
_ => codegen_unreachable!(ctx, "product: {}", elem1.get_type()),
};
let acc_val = ctx.builder.build_load(acc, "").unwrap();
let acc_val = match acc_val {
@ -2499,7 +2603,7 @@ pub fn ndarray_dot<'ctx, G: CodeGenerator + ?Sized>(
.build_float_add(e1, product.into_float_value(), "")
.unwrap()
.as_basic_value_enum(),
_ => codegen_unreachable!(ctx),
_ => codegen_unreachable!(ctx, "acc_val: {}", acc_val.get_type()),
};
ctx.builder.build_store(acc, acc_val).unwrap();

9
nac3core/src/codegen/stmt.rs
View File

@ -12,11 +12,11 @@ use nac3parser::ast::{
};
use super::{
classes::{ArrayLikeIndexer, ArraySliceValue, ListValue, RangeValue},
expr::{destructure_range, gen_binop_expr},
gen_in_range_check,
irrt::{handle_slice_indices, list_slice_assignment},
macros::codegen_unreachable,
values::{ArrayLikeIndexer, ArraySliceValue, ListValue, RangeValue},
CodeGenContext, CodeGenerator,
};
use crate::{
@ -310,7 +310,7 @@ pub fn gen_setitem<'ctx, G: CodeGenerator>(
.unwrap()
.to_basic_value_enum(ctx, generator, target_ty)?
.into_pointer_value();
let target = ListValue::from_ptr_val(target, llvm_usize, None);
let target = ListValue::from_pointer_value(target, llvm_usize, None);
if let ExprKind::Slice { .. } = &key.node {
// Handle assigning to a slice
@ -331,7 +331,7 @@ pub fn gen_setitem<'ctx, G: CodeGenerator>(
let value =
value.to_basic_value_enum(ctx, generator, value_ty)?.into_pointer_value();
let value = ListValue::from_ptr_val(value, llvm_usize, None);
let value = ListValue::from_pointer_value(value, llvm_usize, None);
let target_item_ty = ctx.get_llvm_type(generator, target_item_ty);
let Some(src_ind) = handle_slice_indices(
@ -463,7 +463,8 @@ pub fn gen_for<G: CodeGenerator>(
TypeEnum::TObj { obj_id, .. }
if *obj_id == ctx.primitives.range.obj_id(&ctx.unifier).unwrap() =>
{
let iter_val = RangeValue::from_ptr_val(iter_val.into_pointer_value(), Some("range"));
let iter_val =
RangeValue::from_pointer_value(iter_val.into_pointer_value(), Some("range"));
// Internal variable for loop; Cannot be assigned
let i = generator.gen_var_alloc(ctx, int32.into(), Some("for.i.addr"))?;
// Variable declared in "target" expression of the loop; Can be reassigned *or* shadowed

8
nac3core/src/codegen/test.rs
View File

@ -16,8 +16,8 @@ use nac3parser::{
use parking_lot::RwLock;
use super::{
classes::{ListType, NDArrayType, ProxyType, RangeType},
concrete_type::ConcreteTypeStore,
types::{ListType, NDArrayType, ProxyType, RangeType},
CodeGenContext, CodeGenLLVMOptions, CodeGenTargetMachineOptions, CodeGenTask, CodeGenerator,
DefaultCodeGenerator, WithCall, WorkerRegistry,
};
@ -452,7 +452,7 @@ fn test_classes_list_type_new() {
let llvm_usize = generator.get_size_type(&ctx);
let llvm_list = ListType::new(&generator, &ctx, llvm_i32.into());
assert!(ListType::is_type(llvm_list.as_base_type(), llvm_usize).is_ok());
assert!(ListType::is_representable(llvm_list.as_base_type(), llvm_usize).is_ok());
}
#[test]
@ -460,7 +460,7 @@ fn test_classes_range_type_new() {
let ctx = inkwell::context::Context::create();
let llvm_range = RangeType::new(&ctx);
assert!(RangeType::is_type(llvm_range.as_base_type()).is_ok());
assert!(RangeType::is_representable(llvm_range.as_base_type()).is_ok());
}
#[test]
@ -472,5 +472,5 @@ fn test_classes_ndarray_type_new() {
let llvm_usize = generator.get_size_type(&ctx);
let llvm_ndarray = NDArrayType::new(&generator, &ctx, llvm_i32.into());
assert!(NDArrayType::is_type(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
assert!(NDArrayType::is_representable(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
}

192
nac3core/src/codegen/types/list.rs Normal file
View File

@ -0,0 +1,192 @@
use inkwell::{
context::Context,
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
values::IntValue,
AddressSpace,
};
use super::ProxyType;
use crate::codegen::{
values::{ArraySliceValue, ListValue, ProxyValue},
CodeGenContext, CodeGenerator,
};
/// Proxy type for a `list` type in LLVM.
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
pub struct ListType<'ctx> {
ty: PointerType<'ctx>,
llvm_usize: IntType<'ctx>,
}
impl<'ctx> ListType<'ctx> {
/// Checks whether `llvm_ty` represents a `list` type, returning [Err] if it does not.
pub fn is_representable(
llvm_ty: PointerType<'ctx>,
llvm_usize: IntType<'ctx>,
) -> Result<(), String> {
let llvm_list_ty = llvm_ty.get_element_type();
let AnyTypeEnum::StructType(llvm_list_ty) = llvm_list_ty else {
return Err(format!("Expected struct type for `list` type, got {llvm_list_ty}"));
};
if llvm_list_ty.count_fields() != 2 {
return Err(format!(
"Expected 2 fields in `list`, got {}",
llvm_list_ty.count_fields()
));
}
let list_size_ty = llvm_list_ty.get_field_type_at_index(0).unwrap();
let Ok(_) = PointerType::try_from(list_size_ty) else {
return Err(format!("Expected pointer type for `list.0`, got {list_size_ty}"));
};
let list_data_ty = llvm_list_ty.get_field_type_at_index(1).unwrap();
let Ok(list_data_ty) = IntType::try_from(list_data_ty) else {
return Err(format!("Expected int type for `list.1`, got {list_data_ty}"));
};
if list_data_ty.get_bit_width() != llvm_usize.get_bit_width() {
return Err(format!(
"Expected {}-bit int type for `list.1`, got {}-bit int",
llvm_usize.get_bit_width(),
list_data_ty.get_bit_width()
));
}
Ok(())
}
/// Creates an LLVM type corresponding to the expected structure of a `List`.
#[must_use]
fn llvm_type(
ctx: &'ctx Context,
element_type: BasicTypeEnum<'ctx>,
llvm_usize: IntType<'ctx>,
) -> PointerType<'ctx> {
// struct List { data: T*, size: size_t }
let field_tys = [element_type.ptr_type(AddressSpace::default()).into(), llvm_usize.into()];
ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
}
/// Creates an instance of [`ListType`].
#[must_use]
pub fn new<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
element_type: BasicTypeEnum<'ctx>,
) -> Self {
let llvm_usize = generator.get_size_type(ctx);
let llvm_list = Self::llvm_type(ctx, element_type, llvm_usize);
ListType::from_type(llvm_list, llvm_usize)
}
/// Creates an [`ListType`] from a [`PointerType`].
#[must_use]
pub fn from_type(ptr_ty: PointerType<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
debug_assert!(Self::is_representable(ptr_ty, llvm_usize).is_ok());
ListType { ty: ptr_ty, llvm_usize }
}
/// Returns the type of the `size` field of this `list` type.
#[must_use]
pub fn size_type(&self) -> IntType<'ctx> {
self.as_base_type()
.get_element_type()
.into_struct_type()
.get_field_type_at_index(1)
.map(BasicTypeEnum::into_int_type)
.unwrap()
}
/// Returns the element type of this `list` type.
#[must_use]
pub fn element_type(&self) -> AnyTypeEnum<'ctx> {
self.as_base_type()
.get_element_type()
.into_struct_type()
.get_field_type_at_index(0)
.map(BasicTypeEnum::into_pointer_type)
.map(PointerType::get_element_type)
.unwrap()
}
}
impl<'ctx> ProxyType<'ctx> for ListType<'ctx> {
type Base = PointerType<'ctx>;
type Value = ListValue<'ctx>;
fn is_type<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
llvm_ty: impl BasicType<'ctx>,
) -> Result<(), String> {
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
} else {
Err(format!("Expected pointer type, got {llvm_ty:?}"))
}
}
fn is_representable<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
llvm_ty: Self::Base,
) -> Result<(), String> {
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
}
fn new_value<G: CodeGenerator + ?Sized>(
&self,
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
name: Option<&'ctx str>,
) -> Self::Value {
self.map_value(
generator
.gen_var_alloc(
ctx,
self.as_base_type().get_element_type().into_struct_type().into(),
name,
)
.unwrap(),
name,
)
}
fn new_array_value<G: CodeGenerator + ?Sized>(
&self,
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
size: IntValue<'ctx>,
name: Option<&'ctx str>,
) -> ArraySliceValue<'ctx> {
generator
.gen_array_var_alloc(
ctx,
self.as_base_type().get_element_type().into_struct_type().into(),
size,
name,
)
.unwrap()
}
fn map_value(
&self,
value: <Self::Value as ProxyValue<'ctx>>::Base,
name: Option<&'ctx str>,
) -> Self::Value {
Self::Value::from_pointer_value(value, self.llvm_usize, name)
}
fn as_base_type(&self) -> Self::Base {
self.ty
}
}
impl<'ctx> From<ListType<'ctx>> for PointerType<'ctx> {
fn from(value: ListType<'ctx>) -> Self {
value.as_base_type()
}
}

64
nac3core/src/codegen/types/mod.rs Normal file
View File

@ -0,0 +1,64 @@
use inkwell::{context::Context, types::BasicType, values::IntValue};
use super::{
values::{ArraySliceValue, ProxyValue},
{CodeGenContext, CodeGenerator},
};
pub use list::*;
pub use ndarray::*;
pub use range::*;
mod list;
mod ndarray;
mod range;
pub mod structure;
/// A LLVM type that is used to represent a corresponding type in NAC3.
pub trait ProxyType<'ctx>: Into<Self::Base> {
/// The LLVM type of which values of this type possess. This is usually a
/// [LLVM pointer type][PointerType] for any non-primitive types.
type Base: BasicType<'ctx>;
/// The type of values represented by this type.
type Value: ProxyValue<'ctx, Type = Self>;
fn is_type<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
llvm_ty: impl BasicType<'ctx>,
) -> Result<(), String>;
/// Checks whether `llvm_ty` can be represented by this [`ProxyType`].
fn is_representable<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
llvm_ty: Self::Base,
) -> Result<(), String>;
/// Creates a new value of this type.
fn new_value<G: CodeGenerator + ?Sized>(
&self,
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
name: Option<&'ctx str>,
) -> Self::Value;
/// Creates a new array value of this type.
fn new_array_value<G: CodeGenerator + ?Sized>(
&self,
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
size: IntValue<'ctx>,
name: Option<&'ctx str>,
) -> ArraySliceValue<'ctx>;
/// Converts an existing value into a [`ProxyValue`] of this type.
fn map_value(
&self,
value: <Self::Value as ProxyValue<'ctx>>::Base,
name: Option<&'ctx str>,
) -> Self::Value;
/// Returns the [base type][Self::Base] of this proxy.
fn as_base_type(&self) -> Self::Base;
}

279
nac3core/src/codegen/types/ndarray.rs Normal file
View File

@ -0,0 +1,279 @@
use inkwell::context::ContextRef;
use inkwell::{
context::{AsContextRef, Context},
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
values::{IntValue, PointerValue},
AddressSpace,
};
use itertools::Itertools;
use super::{
structure::{FieldIndexCounter, StructField, StructFields},
ProxyType,
};
use crate::codegen::{
values::{ArraySliceValue, NDArrayValue, ProxyValue},
{CodeGenContext, CodeGenerator},
};
/// Proxy type for a `ndarray` type in LLVM.
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
pub struct NDArrayType<'ctx> {
ty: PointerType<'ctx>,
dtype: BasicTypeEnum<'ctx>,
llvm_usize: IntType<'ctx>,
}
#[derive(PartialEq, Eq, Clone, Copy)]
pub struct NDArrayStructFields<'ctx> {
pub ndims: StructField<'ctx, IntValue<'ctx>>,
pub shape: StructField<'ctx, PointerValue<'ctx>>,
pub data: StructField<'ctx, PointerValue<'ctx>>,
}
impl<'ctx> StructFields<'ctx> for NDArrayStructFields<'ctx> {
fn new(ctx: impl AsContextRef<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
let ctx = unsafe { ContextRef::new(ctx.as_ctx_ref()) };
let mut counter = FieldIndexCounter::default();
NDArrayStructFields {
ndims: StructField::create(&mut counter, "ndims", llvm_usize),
shape: StructField::create(
&mut counter,
"shape",
llvm_usize.ptr_type(AddressSpace::default()),
),
data: StructField::create(
&mut counter,
"data",
ctx.i8_type().ptr_type(AddressSpace::default()),
),
}
}
fn to_vec(&self) -> Vec<(&'static str, BasicTypeEnum<'ctx>)> {
vec![self.ndims.into(), self.shape.into(), self.data.into()]
}
}
impl<'ctx> NDArrayType<'ctx> {
/// Checks whether `llvm_ty` represents a `ndarray` type, returning [Err] if it does not.
pub fn is_representable(
llvm_ty: PointerType<'ctx>,
llvm_usize: IntType<'ctx>,
) -> Result<(), String> {
let llvm_ndarray_ty = llvm_ty.get_element_type();
let AnyTypeEnum::StructType(llvm_ndarray_ty) = llvm_ndarray_ty else {
return Err(format!("Expected struct type for `NDArray` type, got {llvm_ndarray_ty}"));
};
if llvm_ndarray_ty.count_fields() != 3 {
return Err(format!(
"Expected 3 fields in `NDArray`, got {}",
llvm_ndarray_ty.count_fields()
));
}
let ndarray_ndims_ty = llvm_ndarray_ty.get_field_type_at_index(0).unwrap();
let Ok(ndarray_ndims_ty) = IntType::try_from(ndarray_ndims_ty) else {
return Err(format!("Expected int type for `ndarray.0`, got {ndarray_ndims_ty}"));
};
if ndarray_ndims_ty.get_bit_width() != llvm_usize.get_bit_width() {
return Err(format!(
"Expected {}-bit int type for `ndarray.0`, got {}-bit int",
llvm_usize.get_bit_width(),
ndarray_ndims_ty.get_bit_width()
));
}
let ndarray_dims_ty = llvm_ndarray_ty.get_field_type_at_index(1).unwrap();
let Ok(ndarray_pdims) = PointerType::try_from(ndarray_dims_ty) else {
return Err(format!("Expected pointer type for `ndarray.1`, got {ndarray_dims_ty}"));
};
let ndarray_dims = ndarray_pdims.get_element_type();
let Ok(ndarray_dims) = IntType::try_from(ndarray_dims) else {
return Err(format!(
"Expected pointer-to-int type for `ndarray.1`, got pointer-to-{ndarray_dims}"
));
};
if ndarray_dims.get_bit_width() != llvm_usize.get_bit_width() {
return Err(format!(
"Expected pointer-to-{}-bit int type for `ndarray.1`, got pointer-to-{}-bit int",
llvm_usize.get_bit_width(),
ndarray_dims.get_bit_width()
));
}
let ndarray_data_ty = llvm_ndarray_ty.get_field_type_at_index(2).unwrap();
let Ok(ndarray_pdata) = PointerType::try_from(ndarray_data_ty) else {
return Err(format!("Expected pointer type for `ndarray.2`, got {ndarray_data_ty}"));
};
let ndarray_data = ndarray_pdata.get_element_type();
let Ok(ndarray_data) = IntType::try_from(ndarray_data) else {
return Err(format!(
"Expected pointer-to-int type for `ndarray.2`, got pointer-to-{ndarray_data}"
));
};
if ndarray_data.get_bit_width() != 8 {
return Err(format!(
"Expected pointer-to-8-bit int type for `ndarray.1`, got pointer-to-{}-bit int",
ndarray_data.get_bit_width()
));
}
Ok(())
}
// TODO: Move this into e.g. StructProxyType
#[must_use]
fn fields(ctx: &'ctx Context, llvm_usize: IntType<'ctx>) -> NDArrayStructFields<'ctx> {
NDArrayStructFields::new(ctx, llvm_usize)
}
// TODO: Move this into e.g. StructProxyType
#[must_use]
pub fn get_fields(
&self,
ctx: &'ctx Context,
llvm_usize: IntType<'ctx>,
) -> NDArrayStructFields<'ctx> {
Self::fields(ctx, llvm_usize)
}
/// Creates an LLVM type corresponding to the expected structure of an `NDArray`.
#[must_use]
fn llvm_type(ctx: &'ctx Context, llvm_usize: IntType<'ctx>) -> PointerType<'ctx> {
// struct NDArray { num_dims: size_t, dims: size_t*, data: i8* }
//
// * data : Pointer to an array containing the array data
// * itemsize: The size of each NDArray elements in bytes
// * ndims : Number of dimensions in the array
// * shape : Pointer to an array containing the shape of the NDArray
// * strides : Pointer to an array indicating the number of bytes between each element at a dimension
let field_tys =
Self::fields(ctx, llvm_usize).into_iter().map(|field| field.1).collect_vec();
ctx.struct_type(&field_tys, false).ptr_type(AddressSpace::default())
}
/// Creates an instance of [`NDArrayType`].
#[must_use]
pub fn new<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
dtype: BasicTypeEnum<'ctx>,
) -> Self {
let llvm_usize = generator.get_size_type(ctx);
let llvm_ndarray = Self::llvm_type(ctx, llvm_usize);
NDArrayType { ty: llvm_ndarray, dtype, llvm_usize }
}
/// Creates an [`NDArrayType`] from a [`PointerType`] representing an `NDArray`.
#[must_use]
pub fn from_type(
ptr_ty: PointerType<'ctx>,
dtype: BasicTypeEnum<'ctx>,
llvm_usize: IntType<'ctx>,
) -> Self {
debug_assert!(Self::is_representable(ptr_ty, llvm_usize).is_ok());
NDArrayType { ty: ptr_ty, dtype, llvm_usize }
}
/// Returns the type of the `size` field of this `ndarray` type.
#[must_use]
pub fn size_type(&self) -> IntType<'ctx> {
self.as_base_type()
.get_element_type()
.into_struct_type()
.get_field_type_at_index(0)
.map(BasicTypeEnum::into_int_type)
.unwrap()
}
/// Returns the element type of this `ndarray` type.
#[must_use]
pub fn element_type(&self) -> BasicTypeEnum<'ctx> {
self.dtype
}
}
impl<'ctx> ProxyType<'ctx> for NDArrayType<'ctx> {
type Base = PointerType<'ctx>;
type Value = NDArrayValue<'ctx>;
fn is_type<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
llvm_ty: impl BasicType<'ctx>,
) -> Result<(), String> {
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
} else {
Err(format!("Expected pointer type, got {llvm_ty:?}"))
}
}
fn is_representable<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
llvm_ty: Self::Base,
) -> Result<(), String> {
Self::is_representable(llvm_ty, generator.get_size_type(ctx))
}
fn new_value<G: CodeGenerator + ?Sized>(
&self,
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
name: Option<&'ctx str>,
) -> Self::Value {
self.map_value(
generator
.gen_var_alloc(
ctx,
self.as_base_type().get_element_type().into_struct_type().into(),
name,
)
.unwrap(),
name,
)
}
fn new_array_value<G: CodeGenerator + ?Sized>(
&self,
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
size: IntValue<'ctx>,
name: Option<&'ctx str>,
) -> ArraySliceValue<'ctx> {
generator
.gen_array_var_alloc(
ctx,
self.as_base_type().get_element_type().into_struct_type().into(),
size,
name,
)
.unwrap()
}
fn map_value(
&self,
value: <Self::Value as ProxyValue<'ctx>>::Base,
name: Option<&'ctx str>,
) -> Self::Value {
debug_assert_eq!(value.get_type(), self.as_base_type());
NDArrayValue::from_pointer_value(value, self.dtype, self.llvm_usize, name)
}
fn as_base_type(&self) -> Self::Base {
self.ty
}
}
impl<'ctx> From<NDArrayType<'ctx>> for PointerType<'ctx> {
fn from(value: NDArrayType<'ctx>) -> Self {
value.as_base_type()
}
}

159
nac3core/src/codegen/types/range.rs Normal file
View File

@ -0,0 +1,159 @@
use inkwell::{
context::Context,
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
values::IntValue,
AddressSpace,
};
use super::ProxyType;
use crate::codegen::{
values::{ArraySliceValue, ProxyValue, RangeValue},
{CodeGenContext, CodeGenerator},
};
/// Proxy type for a `range` type in LLVM.
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
pub struct RangeType<'ctx> {
ty: PointerType<'ctx>,
}
impl<'ctx> RangeType<'ctx> {
/// Checks whether `llvm_ty` represents a `range` type, returning [Err] if it does not.
pub fn is_representable(llvm_ty: PointerType<'ctx>) -> Result<(), String> {
let llvm_range_ty = llvm_ty.get_element_type();
let AnyTypeEnum::ArrayType(llvm_range_ty) = llvm_range_ty else {
return Err(format!("Expected array type for `range` type, got {llvm_range_ty}"));
};
if llvm_range_ty.len() != 3 {
return Err(format!(
"Expected 3 elements for `range` type, got {}",
llvm_range_ty.len()
));
}
let llvm_range_elem_ty = llvm_range_ty.get_element_type();
let Ok(llvm_range_elem_ty) = IntType::try_from(llvm_range_elem_ty) else {
return Err(format!(
"Expected int type for `range` element type, got {llvm_range_elem_ty}"
));
};
if llvm_range_elem_ty.get_bit_width() != 32 {
return Err(format!(
"Expected 32-bit int type for `range` element type, got {}",
llvm_range_elem_ty.get_bit_width()
));
}
Ok(())
}
/// Creates an LLVM type corresponding to the expected structure of a `Range`.
#[must_use]
fn llvm_type(ctx: &'ctx Context) -> PointerType<'ctx> {
// typedef int32_t Range[3];
let llvm_i32 = ctx.i32_type();
llvm_i32.array_type(3).ptr_type(AddressSpace::default())
}
/// Creates an instance of [`RangeType`].
#[must_use]
pub fn new(ctx: &'ctx Context) -> Self {
let llvm_range = Self::llvm_type(ctx);
RangeType::from_type(llvm_range)
}
/// Creates an [`RangeType`] from a [`PointerType`].
#[must_use]
pub fn from_type(ptr_ty: PointerType<'ctx>) -> Self {
debug_assert!(Self::is_representable(ptr_ty).is_ok());
RangeType { ty: ptr_ty }
}
/// Returns the type of all fields of this `range` type.
#[must_use]
pub fn value_type(&self) -> IntType<'ctx> {
self.as_base_type().get_element_type().into_array_type().get_element_type().into_int_type()
}
}
impl<'ctx> ProxyType<'ctx> for RangeType<'ctx> {
type Base = PointerType<'ctx>;
type Value = RangeValue<'ctx>;
fn is_type<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
llvm_ty: impl BasicType<'ctx>,
) -> Result<(), String> {
if let BasicTypeEnum::PointerType(ty) = llvm_ty.as_basic_type_enum() {
<Self as ProxyType<'ctx>>::is_representable(generator, ctx, ty)
} else {
Err(format!("Expected pointer type, got {llvm_ty:?}"))
}
}
fn is_representable<G: CodeGenerator + ?Sized>(
_: &G,
_: &'ctx Context,
llvm_ty: Self::Base,
) -> Result<(), String> {
Self::is_representable(llvm_ty)
}
fn new_value<G: CodeGenerator + ?Sized>(
&self,
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
name: Option<&'ctx str>,
) -> Self::Value {
self.map_value(
generator
.gen_var_alloc(
ctx,
self.as_base_type().get_element_type().into_struct_type().into(),
name,
)
.unwrap(),
name,
)
}
fn new_array_value<G: CodeGenerator + ?Sized>(
&self,
generator: &mut G,
ctx: &mut CodeGenContext<'ctx, '_>,
size: IntValue<'ctx>,
name: Option<&'ctx str>,
) -> ArraySliceValue<'ctx> {
generator
.gen_array_var_alloc(
ctx,
self.as_base_type().get_element_type().into_struct_type().into(),
size,
name,
)
.unwrap()
}
fn map_value(
&self,
value: <Self::Value as ProxyValue<'ctx>>::Base,
name: Option<&'ctx str>,
) -> Self::Value {
debug_assert_eq!(value.get_type(), self.as_base_type());
RangeValue::from_pointer_value(value, name)
}
fn as_base_type(&self) -> Self::Base {
self.ty
}
}
impl<'ctx> From<RangeType<'ctx>> for PointerType<'ctx> {
fn from(value: RangeType<'ctx>) -> Self {
value.as_base_type()
}
}

203
nac3core/src/codegen/types/structure.rs Normal file
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use std::marker::PhantomData;
use inkwell::{
context::AsContextRef,
types::{BasicTypeEnum, IntType},
values::{BasicValue, BasicValueEnum, IntValue, PointerValue, StructValue},
};
use crate::codegen::CodeGenContext;
/// Trait indicating that the structure is a field-wise representation of an LLVM structure.
///
/// # Usage
///
/// For example, for a simple C-slice LLVM structure:
///
/// ```ignore
/// struct CSliceFields<'ctx> {
/// ptr: StructField<'ctx, PointerValue<'ctx>>,
/// len: StructField<'ctx, IntValue<'ctx>>
/// }
/// ```
pub trait StructFields<'ctx>: Eq + Copy {
/// Creates an instance of [`StructFields`] using the given `ctx` and `size_t` types.
fn new(ctx: impl AsContextRef<'ctx>, llvm_usize: IntType<'ctx>) -> Self;
/// Returns a [`Vec`] that contains the fields of the structure in the order as they appear in
/// the type definition.
#[must_use]
fn to_vec(&self) -> Vec<(&'static str, BasicTypeEnum<'ctx>)>;
/// Returns a [`Iterator`] that contains the fields of the structure in the order as they appear
/// in the type definition.
#[must_use]
fn iter(&self) -> impl Iterator<Item = (&'static str, BasicTypeEnum<'ctx>)> {
self.to_vec().into_iter()
}
/// Returns a [`Vec`] that contains the fields of the structure in the order as they appear in
/// the type definition.
#[must_use]
fn into_vec(self) -> Vec<(&'static str, BasicTypeEnum<'ctx>)>
where
Self: Sized,
{
self.to_vec()
}
/// Returns a [`Iterator`] that contains the fields of the structure in the order as they appear
/// in the type definition.
#[must_use]
fn into_iter(self) -> impl Iterator<Item = (&'static str, BasicTypeEnum<'ctx>)>
where
Self: Sized,
{
self.into_vec().into_iter()
}
}
/// A single field of an LLVM structure.
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
pub struct StructField<'ctx, Value>
where
Value: BasicValue<'ctx> + TryFrom<BasicValueEnum<'ctx>, Error = ()>,
{
/// The index of this field within the structure.
index: u32,
/// The name of this field.
name: &'static str,
/// The type of this field.
ty: BasicTypeEnum<'ctx>,
/// Instance of [`PhantomData`] containing [`Value`], used to implement automatic downcasts.
_value_ty: PhantomData<Value>,
}
impl<'ctx, Value> StructField<'ctx, Value>
where
Value: BasicValue<'ctx> + TryFrom<BasicValueEnum<'ctx>, Error = ()>,
{
/// Creates an instance of [`StructField`].
///
/// * `idx_counter` - The instance of [`FieldIndexCounter`] used to track the current field
/// index.
/// * `name` - Name of the field.
/// * `ty` - The type of this field.
pub fn create(
idx_counter: &mut FieldIndexCounter,
name: &'static str,
ty: impl Into<BasicTypeEnum<'ctx>>,
) -> Self {
StructField { index: idx_counter.increment(), name, ty: ty.into(), _value_ty: PhantomData }
}
/// Creates an instance of [`StructField`] with a given index.
///
/// * `index` - The index of this field within its enclosing structure.
/// * `name` - Name of the field.
/// * `ty` - The type of this field.
pub fn create_at(index: u32, name: &'static str, ty: impl Into<BasicTypeEnum<'ctx>>) -> Self {
StructField { index, name, ty: ty.into(), _value_ty: PhantomData }
}
/// Creates a pointer to this field in an arbitrary structure by performing a `getelementptr i32
/// {idx...}, i32 {self.index}`.
pub fn ptr_by_array_gep(
&self,
ctx: &CodeGenContext<'ctx, '_>,
pobj: PointerValue<'ctx>,
idx: &[IntValue<'ctx>],
) -> PointerValue<'ctx> {
unsafe {
ctx.builder.build_in_bounds_gep(
pobj,
&[idx, &[ctx.ctx.i32_type().const_int(u64::from(self.index), false)]].concat(),
"",
)
}
.unwrap()
}
/// Creates a pointer to this field in an arbitrary structure by performing the equivalent of
/// `getelementptr i32 0, i32 {self.index}`.
pub fn ptr_by_gep(
&self,
ctx: &CodeGenContext<'ctx, '_>,
pobj: PointerValue<'ctx>,
obj_name: Option<&'ctx str>,
) -> PointerValue<'ctx> {
ctx.builder
.build_struct_gep(
pobj,
self.index,
&obj_name.map(|name| format!("{name}.{}.addr", self.name)).unwrap_or_default(),
)
.unwrap()
}
/// Gets the value of this field for a given `obj`.
#[must_use]
pub fn get_from_value(&self, obj: StructValue<'ctx>) -> Value {
obj.get_field_at_index(self.index).and_then(|value| Value::try_from(value).ok()).unwrap()
}
/// Sets the value of this field for a given `obj`.
pub fn set_from_value(&self, obj: StructValue<'ctx>, value: Value) {
obj.set_field_at_index(self.index, value);
}
/// Gets the value of this field for a pointer-to-structure.
pub fn get(
&self,
ctx: &CodeGenContext<'ctx, '_>,
pobj: PointerValue<'ctx>,
obj_name: Option<&'ctx str>,
) -> Value {
ctx.builder
.build_load(
self.ptr_by_gep(ctx, pobj, obj_name),
&obj_name.map(|name| format!("{name}.{}", self.name)).unwrap_or_default(),
)
.map_err(|_| ())
.and_then(|value| Value::try_from(value))
.unwrap()
}
/// Sets the value of this field for a pointer-to-structure.
pub fn set(
&self,
ctx: &CodeGenContext<'ctx, '_>,
pobj: PointerValue<'ctx>,
value: Value,
obj_name: Option<&'ctx str>,
) {
ctx.builder.build_store(self.ptr_by_gep(ctx, pobj, obj_name), value).unwrap();
}
}
impl<'ctx, Value> From<StructField<'ctx, Value>> for (&'static str, BasicTypeEnum<'ctx>)
where
Value: BasicValue<'ctx> + TryFrom<BasicValueEnum<'ctx>, Error = ()>,
{
fn from(value: StructField<'ctx, Value>) -> Self {
(value.name, value.ty)
}
}
/// A counter that tracks the next index of a field using a monotonically increasing counter.
#[derive(Default, Debug, PartialEq, Eq, Clone, Copy)]
pub struct FieldIndexCounter(u32);
impl FieldIndexCounter {
/// Increments the number stored by this counter, returning the previous value.
///
/// Functionally equivalent to `i++` in C-based languages.
pub fn increment(&mut self) -> u32 {
let v = self.0;
self.0 += 1;
v
}
}

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nac3core/src/codegen/values/array.rs Normal file
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use inkwell::{
types::AnyTypeEnum,
values::{BasicValueEnum, IntValue, PointerValue},
IntPredicate,
};
use crate::codegen::{CodeGenContext, CodeGenerator};
/// An LLVM value that is array-like, i.e. it contains a contiguous, sequenced collection of
/// elements.
pub trait ArrayLikeValue<'ctx> {
/// Returns the element type of this array-like value.
fn element_type<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> AnyTypeEnum<'ctx>;
/// Returns the base pointer to the array.
fn base_ptr<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> PointerValue<'ctx>;
/// Returns the size of this array-like value.
fn size<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> IntValue<'ctx>;
/// Returns a [`ArraySliceValue`] representing this value.
fn as_slice_value<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> ArraySliceValue<'ctx> {
ArraySliceValue::from_ptr_val(
self.base_ptr(ctx, generator),
self.size(ctx, generator),
None,
)
}
}
/// An array-like value that can be indexed by memory offset.
pub trait ArrayLikeIndexer<'ctx, Index = IntValue<'ctx>>: ArrayLikeValue<'ctx> {
/// # Safety
///
/// This function should be called with a valid index.
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
name: Option<&str>,
) -> PointerValue<'ctx>;
/// Returns the pointer to the data at the `idx`-th index.
fn ptr_offset<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
name: Option<&str>,
) -> PointerValue<'ctx>;
}
/// An array-like value that can have its array elements accessed as a [`BasicValueEnum`].
pub trait UntypedArrayLikeAccessor<'ctx, Index = IntValue<'ctx>>:
ArrayLikeIndexer<'ctx, Index>
{
/// # Safety
///
/// This function should be called with a valid index.
unsafe fn get_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
name: Option<&str>,
) -> BasicValueEnum<'ctx> {
let ptr = unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) };
ctx.builder.build_load(ptr, name.unwrap_or_default()).unwrap()
}
/// Returns the data at the `idx`-th index.
fn get<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
name: Option<&str>,
) -> BasicValueEnum<'ctx> {
let ptr = self.ptr_offset(ctx, generator, idx, name);
ctx.builder.build_load(ptr, name.unwrap_or_default()).unwrap()
}
}
/// An array-like value that can have its array elements mutated as a [`BasicValueEnum`].
pub trait UntypedArrayLikeMutator<'ctx, Index = IntValue<'ctx>>:
ArrayLikeIndexer<'ctx, Index>
{
/// # Safety
///
/// This function should be called with a valid index.
unsafe fn set_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
value: BasicValueEnum<'ctx>,
) {
let ptr = unsafe { self.ptr_offset_unchecked(ctx, generator, idx, None) };
ctx.builder.build_store(ptr, value).unwrap();
}
/// Sets the data at the `idx`-th index.
fn set<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
value: BasicValueEnum<'ctx>,
) {
let ptr = self.ptr_offset(ctx, generator, idx, None);
ctx.builder.build_store(ptr, value).unwrap();
}
}
/// An array-like value that can have its array elements accessed as an arbitrary type `T`.
pub trait TypedArrayLikeAccessor<'ctx, T, Index = IntValue<'ctx>>:
UntypedArrayLikeAccessor<'ctx, Index>
{
/// Casts an element from [`BasicValueEnum`] into `T`.
fn downcast_to_type(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
value: BasicValueEnum<'ctx>,
) -> T;
/// # Safety
///
/// This function should be called with a valid index.
unsafe fn get_typed_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
name: Option<&str>,
) -> T {
let value = unsafe { self.get_unchecked(ctx, generator, idx, name) };
self.downcast_to_type(ctx, value)
}
/// Returns the data at the `idx`-th index.
fn get_typed<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
name: Option<&str>,
) -> T {
let value = self.get(ctx, generator, idx, name);
self.downcast_to_type(ctx, value)
}
}
/// An array-like value that can have its array elements mutated as an arbitrary type `T`.
pub trait TypedArrayLikeMutator<'ctx, T, Index = IntValue<'ctx>>:
UntypedArrayLikeMutator<'ctx, Index>
{
/// Casts an element from T into [`BasicValueEnum`].
fn upcast_from_type(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
value: T,
) -> BasicValueEnum<'ctx>;
/// # Safety
///
/// This function should be called with a valid index.
unsafe fn set_typed_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
value: T,
) {
let value = self.upcast_from_type(ctx, value);
unsafe { self.set_unchecked(ctx, generator, idx, value) }
}
/// Sets the data at the `idx`-th index.
fn set_typed<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
value: T,
) {
let value = self.upcast_from_type(ctx, value);
self.set(ctx, generator, idx, value);
}
}
/// Type alias for a function that casts a [`BasicValueEnum`] into a `T`.
type ValueDowncastFn<'ctx, T> =
Box<dyn Fn(&mut CodeGenContext<'ctx, '_>, BasicValueEnum<'ctx>) -> T>;
/// Type alias for a function that casts a `T` into a [`BasicValueEnum`].
type ValueUpcastFn<'ctx, T> = Box<dyn Fn(&mut CodeGenContext<'ctx, '_>, T) -> BasicValueEnum<'ctx>>;
/// An adapter for constraining untyped array values as typed values.
pub struct TypedArrayLikeAdapter<'ctx, T, Adapted: ArrayLikeValue<'ctx> = ArraySliceValue<'ctx>> {
adapted: Adapted,
downcast_fn: ValueDowncastFn<'ctx, T>,
upcast_fn: ValueUpcastFn<'ctx, T>,
}
impl<'ctx, T, Adapted> TypedArrayLikeAdapter<'ctx, T, Adapted>
where
Adapted: ArrayLikeValue<'ctx>,
{
/// Creates a [`TypedArrayLikeAdapter`].
///
/// * `adapted` - The value to be adapted.
/// * `downcast_fn` - The function converting a [`BasicValueEnum`] into a `T`.
/// * `upcast_fn` - The function converting a T into a [`BasicValueEnum`].
pub fn from(
adapted: Adapted,
downcast_fn: ValueDowncastFn<'ctx, T>,
upcast_fn: ValueUpcastFn<'ctx, T>,
) -> Self {
TypedArrayLikeAdapter { adapted, downcast_fn, upcast_fn }
}
}
impl<'ctx, T, Adapted> ArrayLikeValue<'ctx> for TypedArrayLikeAdapter<'ctx, T, Adapted>
where
Adapted: ArrayLikeValue<'ctx>,
{
fn element_type<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> AnyTypeEnum<'ctx> {
self.adapted.element_type(ctx, generator)
}
fn base_ptr<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> PointerValue<'ctx> {
self.adapted.base_ptr(ctx, generator)
}
fn size<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> IntValue<'ctx> {
self.adapted.size(ctx, generator)
}
}
impl<'ctx, T, Index, Adapted> ArrayLikeIndexer<'ctx, Index>
for TypedArrayLikeAdapter<'ctx, T, Adapted>
where
Adapted: ArrayLikeIndexer<'ctx, Index>,
{
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
name: Option<&str>,
) -> PointerValue<'ctx> {
unsafe { self.adapted.ptr_offset_unchecked(ctx, generator, idx, name) }
}
fn ptr_offset<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &Index,
name: Option<&str>,
) -> PointerValue<'ctx> {
self.adapted.ptr_offset(ctx, generator, idx, name)
}
}
impl<'ctx, T, Index, Adapted> UntypedArrayLikeAccessor<'ctx, Index>
for TypedArrayLikeAdapter<'ctx, T, Adapted>
where
Adapted: UntypedArrayLikeAccessor<'ctx, Index>,
{
}
impl<'ctx, T, Index, Adapted> UntypedArrayLikeMutator<'ctx, Index>
for TypedArrayLikeAdapter<'ctx, T, Adapted>
where
Adapted: UntypedArrayLikeMutator<'ctx, Index>,
{
}
impl<'ctx, T, Index, Adapted> TypedArrayLikeAccessor<'ctx, T, Index>
for TypedArrayLikeAdapter<'ctx, T, Adapted>
where
Adapted: UntypedArrayLikeAccessor<'ctx, Index>,
{
fn downcast_to_type(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
value: BasicValueEnum<'ctx>,
) -> T {
(self.downcast_fn)(ctx, value)
}
}
impl<'ctx, T, Index, Adapted> TypedArrayLikeMutator<'ctx, T, Index>
for TypedArrayLikeAdapter<'ctx, T, Adapted>
where
Adapted: UntypedArrayLikeMutator<'ctx, Index>,
{
fn upcast_from_type(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
value: T,
) -> BasicValueEnum<'ctx> {
(self.upcast_fn)(ctx, value)
}
}
/// An LLVM value representing an array slice, consisting of a pointer to the data and the size of
/// the slice.
#[derive(Copy, Clone)]
pub struct ArraySliceValue<'ctx>(PointerValue<'ctx>, IntValue<'ctx>, Option<&'ctx str>);
impl<'ctx> ArraySliceValue<'ctx> {
/// Creates an [`ArraySliceValue`] from a [`PointerValue`] and its size.
#[must_use]
pub fn from_ptr_val(
ptr: PointerValue<'ctx>,
size: IntValue<'ctx>,
name: Option<&'ctx str>,
) -> Self {
ArraySliceValue(ptr, size, name)
}
}
impl<'ctx> From<ArraySliceValue<'ctx>> for PointerValue<'ctx> {
fn from(value: ArraySliceValue<'ctx>) -> Self {
value.0
}
}
impl<'ctx> ArrayLikeValue<'ctx> for ArraySliceValue<'ctx> {
fn element_type<G: CodeGenerator + ?Sized>(
&self,
_: &CodeGenContext<'ctx, '_>,
_: &G,
) -> AnyTypeEnum<'ctx> {
self.0.get_type().get_element_type()
}
fn base_ptr<G: CodeGenerator + ?Sized>(
&self,
_: &CodeGenContext<'ctx, '_>,
_: &G,
) -> PointerValue<'ctx> {
self.0
}
fn size<G: CodeGenerator + ?Sized>(
&self,
_: &CodeGenContext<'ctx, '_>,
_: &G,
) -> IntValue<'ctx> {
self.1
}
}
impl<'ctx> ArrayLikeIndexer<'ctx> for ArraySliceValue<'ctx> {
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let var_name = name.map(|v| format!("{v}.addr")).unwrap_or_default();
unsafe {
ctx.builder
.build_in_bounds_gep(self.base_ptr(ctx, generator), &[*idx], var_name.as_str())
.unwrap()
}
}
fn ptr_offset<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
debug_assert_eq!(idx.get_type(), generator.get_size_type(ctx.ctx));
let size = self.size(ctx, generator);
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, size, "").unwrap();
ctx.make_assert(
generator,
in_range,
"0:IndexError",
"list index out of range",
[None, None, None],
ctx.current_loc,
);
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
}
}
impl<'ctx> UntypedArrayLikeAccessor<'ctx> for ArraySliceValue<'ctx> {}
impl<'ctx> UntypedArrayLikeMutator<'ctx> for ArraySliceValue<'ctx> {}

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nac3core/src/codegen/values/list.rs Normal file
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use inkwell::{
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType},
values::{BasicValueEnum, IntValue, PointerValue},
AddressSpace, IntPredicate,
};
use super::{
ArrayLikeIndexer, ArrayLikeValue, ProxyValue, UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
};
use crate::codegen::{
types::ListType,
{CodeGenContext, CodeGenerator},
};
/// Proxy type for accessing a `list` value in LLVM.
#[derive(Copy, Clone)]
pub struct ListValue<'ctx> {
value: PointerValue<'ctx>,
llvm_usize: IntType<'ctx>,
name: Option<&'ctx str>,
}
impl<'ctx> ListValue<'ctx> {
/// Checks whether `value` is an instance of `list`, returning [Err] if `value` is not an
/// instance.
pub fn is_representable(
value: PointerValue<'ctx>,
llvm_usize: IntType<'ctx>,
) -> Result<(), String> {
ListType::is_representable(value.get_type(), llvm_usize)
}
/// Creates an [`ListValue`] from a [`PointerValue`].
#[must_use]
pub fn from_pointer_value(
ptr: PointerValue<'ctx>,
llvm_usize: IntType<'ctx>,
name: Option<&'ctx str>,
) -> Self {
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
ListValue { value: ptr, llvm_usize, name }
}
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
/// on the field.
fn pptr_to_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let llvm_i32 = ctx.ctx.i32_type();
let var_name = self.name.map(|v| format!("{v}.data.addr")).unwrap_or_default();
unsafe {
ctx.builder
.build_in_bounds_gep(
self.as_base_value(),
&[llvm_i32.const_zero(), llvm_i32.const_zero()],
var_name.as_str(),
)
.unwrap()
}
}
/// Returns the pointer to the field storing the size of this `list`.
fn ptr_to_size(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let llvm_i32 = ctx.ctx.i32_type();
let var_name = self.name.map(|v| format!("{v}.size.addr")).unwrap_or_default();
unsafe {
ctx.builder
.build_in_bounds_gep(
self.as_base_value(),
&[llvm_i32.const_zero(), llvm_i32.const_int(1, true)],
var_name.as_str(),
)
.unwrap()
}
}
/// Stores the array of data elements `data` into this instance.
fn store_data(&self, ctx: &CodeGenContext<'ctx, '_>, data: PointerValue<'ctx>) {
ctx.builder.build_store(self.pptr_to_data(ctx), data).unwrap();
}
/// Convenience method for creating a new array storing data elements with the given element
/// type `elem_ty` and `size`.
///
/// If `size` is [None], the size stored in the field of this instance is used instead.
pub fn create_data(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
elem_ty: BasicTypeEnum<'ctx>,
size: Option<IntValue<'ctx>>,
) {
let size = size.unwrap_or_else(|| self.load_size(ctx, None));
let data = ctx
.builder
.build_select(
ctx.builder
.build_int_compare(IntPredicate::NE, size, self.llvm_usize.const_zero(), "")
.unwrap(),
ctx.builder.build_array_alloca(elem_ty, size, "").unwrap(),
elem_ty.ptr_type(AddressSpace::default()).const_zero(),
"",
)
.map(BasicValueEnum::into_pointer_value)
.unwrap();
self.store_data(ctx, data);
}
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
/// on the field.
#[must_use]
pub fn data(&self) -> ListDataProxy<'ctx, '_> {
ListDataProxy(self)
}
/// Stores the `size` of this `list` into this instance.
pub fn store_size<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
size: IntValue<'ctx>,
) {
debug_assert_eq!(size.get_type(), generator.get_size_type(ctx.ctx));
let psize = self.ptr_to_size(ctx);
ctx.builder.build_store(psize, size).unwrap();
}
/// Returns the size of this `list` as a value.
pub fn load_size(&self, ctx: &CodeGenContext<'ctx, '_>, name: Option<&str>) -> IntValue<'ctx> {
let psize = self.ptr_to_size(ctx);
let var_name = name
.map(ToString::to_string)
.or_else(|| self.name.map(|v| format!("{v}.size")))
.unwrap_or_default();
ctx.builder
.build_load(psize, var_name.as_str())
.map(BasicValueEnum::into_int_value)
.unwrap()
}
}
impl<'ctx> ProxyValue<'ctx> for ListValue<'ctx> {
type Base = PointerValue<'ctx>;
type Type = ListType<'ctx>;
fn get_type(&self) -> Self::Type {
ListType::from_type(self.as_base_value().get_type(), self.llvm_usize)
}
fn as_base_value(&self) -> Self::Base {
self.value
}
}
impl<'ctx> From<ListValue<'ctx>> for PointerValue<'ctx> {
fn from(value: ListValue<'ctx>) -> Self {
value.as_base_value()
}
}
/// Proxy type for accessing the `data` array of an `list` instance in LLVM.
#[derive(Copy, Clone)]
pub struct ListDataProxy<'ctx, 'a>(&'a ListValue<'ctx>);
impl<'ctx> ArrayLikeValue<'ctx> for ListDataProxy<'ctx, '_> {
fn element_type<G: CodeGenerator + ?Sized>(
&self,
_: &CodeGenContext<'ctx, '_>,
_: &G,
) -> AnyTypeEnum<'ctx> {
self.0.value.get_type().get_element_type()
}
fn base_ptr<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
_: &G,
) -> PointerValue<'ctx> {
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
ctx.builder
.build_load(self.0.pptr_to_data(ctx), var_name.as_str())
.map(BasicValueEnum::into_pointer_value)
.unwrap()
}
fn size<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
_: &G,
) -> IntValue<'ctx> {
self.0.load_size(ctx, None)
}
}
impl<'ctx> ArrayLikeIndexer<'ctx> for ListDataProxy<'ctx, '_> {
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let var_name = name.map(|v| format!("{v}.addr")).unwrap_or_default();
unsafe {
ctx.builder
.build_in_bounds_gep(self.base_ptr(ctx, generator), &[*idx], var_name.as_str())
.unwrap()
}
}
fn ptr_offset<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
debug_assert_eq!(idx.get_type(), generator.get_size_type(ctx.ctx));
let size = self.size(ctx, generator);
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, size, "").unwrap();
ctx.make_assert(
generator,
in_range,
"0:IndexError",
"list index out of range",
[None, None, None],
ctx.current_loc,
);
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
}
}
impl<'ctx> UntypedArrayLikeAccessor<'ctx> for ListDataProxy<'ctx, '_> {}
impl<'ctx> UntypedArrayLikeMutator<'ctx> for ListDataProxy<'ctx, '_> {}

47
nac3core/src/codegen/values/mod.rs Normal file
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@ -0,0 +1,47 @@
use inkwell::{context::Context, values::BasicValue};
use super::types::ProxyType;
use crate::codegen::CodeGenerator;
pub use array::*;
pub use list::*;
pub use ndarray::*;
pub use range::*;
mod array;
mod list;
mod ndarray;
mod range;
/// A LLVM type that is used to represent a non-primitive value in NAC3.
pub trait ProxyValue<'ctx>: Into<Self::Base> {
/// The type of LLVM values represented by this instance. This is usually the
/// [LLVM pointer type][PointerValue].
type Base: BasicValue<'ctx>;
/// The type of this value.
type Type: ProxyType<'ctx, Value = Self>;
/// Checks whether `value` can be represented by this [`ProxyValue`].
fn is_instance<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
value: impl BasicValue<'ctx>,
) -> Result<(), String> {
Self::Type::is_type(generator, ctx, value.as_basic_value_enum().get_type())
}
/// Checks whether `value` can be represented by this [`ProxyValue`].
fn is_representable<G: CodeGenerator + ?Sized>(
generator: &G,
ctx: &'ctx Context,
value: Self::Base,
) -> Result<(), String> {
Self::is_instance(generator, ctx, value.as_basic_value_enum())
}
/// Returns the [type][ProxyType] of this value.
fn get_type(&self) -> Self::Type;
/// Returns the [base value][Self::Base] of this proxy.
fn as_base_value(&self) -> Self::Base;
}

517
nac3core/src/codegen/values/ndarray.rs Normal file
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use inkwell::{
types::{AnyType, AnyTypeEnum, BasicType, BasicTypeEnum, IntType},
values::{BasicValueEnum, IntValue, PointerValue},
AddressSpace, IntPredicate,
};
use super::{
ArrayLikeIndexer, ArrayLikeValue, ProxyValue, TypedArrayLikeAccessor, TypedArrayLikeMutator,
UntypedArrayLikeAccessor, UntypedArrayLikeMutator,
};
use crate::codegen::{
irrt::{call_ndarray_calc_size, call_ndarray_flatten_index},
llvm_intrinsics::call_int_umin,
stmt::gen_for_callback_incrementing,
types::NDArrayType,
CodeGenContext, CodeGenerator,
};
/// Proxy type for accessing an `NDArray` value in LLVM.
#[derive(Copy, Clone)]
pub struct NDArrayValue<'ctx> {
value: PointerValue<'ctx>,
dtype: BasicTypeEnum<'ctx>,
llvm_usize: IntType<'ctx>,
name: Option<&'ctx str>,
}
impl<'ctx> NDArrayValue<'ctx> {
/// Checks whether `value` is an instance of `NDArray`, returning [Err] if `value` is not an
/// instance.
pub fn is_representable(
value: PointerValue<'ctx>,
llvm_usize: IntType<'ctx>,
) -> Result<(), String> {
NDArrayType::is_representable(value.get_type(), llvm_usize)
}
/// Creates an [`NDArrayValue`] from a [`PointerValue`].
#[must_use]
pub fn from_pointer_value(
ptr: PointerValue<'ctx>,
dtype: BasicTypeEnum<'ctx>,
llvm_usize: IntType<'ctx>,
name: Option<&'ctx str>,
) -> Self {
debug_assert!(Self::is_representable(ptr, llvm_usize).is_ok());
NDArrayValue { value: ptr, dtype, llvm_usize, name }
}
/// Returns the pointer to the field storing the number of dimensions of this `NDArray`.
fn ptr_to_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
self.get_type()
.get_fields(ctx.ctx, self.llvm_usize)
.ndims
.ptr_by_gep(ctx, self.value, self.name)
}
/// Stores the number of dimensions `ndims` into this instance.
pub fn store_ndims<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
ndims: IntValue<'ctx>,
) {
debug_assert_eq!(ndims.get_type(), generator.get_size_type(ctx.ctx));
let pndims = self.ptr_to_ndims(ctx);
ctx.builder.build_store(pndims, ndims).unwrap();
}
/// Returns the number of dimensions of this `NDArray` as a value.
pub fn load_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
let pndims = self.ptr_to_ndims(ctx);
ctx.builder.build_load(pndims, "").map(BasicValueEnum::into_int_value).unwrap()
}
/// Returns the double-indirection pointer to the `shape` array, as if by calling
/// `getelementptr` on the field.
fn ptr_to_shape(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
self.get_type()
.get_fields(ctx.ctx, self.llvm_usize)
.shape
.ptr_by_gep(ctx, self.value, self.name)
}
/// Stores the array of dimension sizes `dims` into this instance.
fn store_shape(&self, ctx: &CodeGenContext<'ctx, '_>, dims: PointerValue<'ctx>) {
ctx.builder.build_store(self.ptr_to_shape(ctx), dims).unwrap();
}
/// Convenience method for creating a new array storing dimension sizes with the given `size`.
pub fn create_shape(
&self,
ctx: &CodeGenContext<'ctx, '_>,
llvm_usize: IntType<'ctx>,
size: IntValue<'ctx>,
) {
self.store_shape(ctx, ctx.builder.build_array_alloca(llvm_usize, size, "").unwrap());
}
/// Returns a proxy object to the field storing the size of each dimension of this `NDArray`.
#[must_use]
pub fn shape(&self) -> NDArrayShapeProxy<'ctx, '_> {
NDArrayShapeProxy(self)
}
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
/// on the field.
pub fn ptr_to_data(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
self.get_type()
.get_fields(ctx.ctx, self.llvm_usize)
.data
.ptr_by_gep(ctx, self.value, self.name)
}
/// Stores the array of data elements `data` into this instance.
fn store_data(&self, ctx: &CodeGenContext<'ctx, '_>, data: PointerValue<'ctx>) {
let data = ctx
.builder
.build_bit_cast(data, ctx.ctx.i8_type().ptr_type(AddressSpace::default()), "")
.unwrap();
ctx.builder.build_store(self.ptr_to_data(ctx), data).unwrap();
}
/// Convenience method for creating a new array storing data elements with the given element
/// type `elem_ty` and `size`.
pub fn create_data(
&self,
ctx: &CodeGenContext<'ctx, '_>,
elem_ty: BasicTypeEnum<'ctx>,
size: IntValue<'ctx>,
) {
let itemsize =
ctx.builder.build_int_cast(elem_ty.size_of().unwrap(), size.get_type(), "").unwrap();
let nbytes = ctx.builder.build_int_mul(size, itemsize, "").unwrap();
// TODO: What about alignment?
self.store_data(
ctx,
ctx.builder.build_array_alloca(ctx.ctx.i8_type(), nbytes, "").unwrap(),
);
}
/// Returns a proxy object to the field storing the data of this `NDArray`.
#[must_use]
pub fn data(&self) -> NDArrayDataProxy<'ctx, '_> {
NDArrayDataProxy(self)
}
}
impl<'ctx> ProxyValue<'ctx> for NDArrayValue<'ctx> {
type Base = PointerValue<'ctx>;
type Type = NDArrayType<'ctx>;
fn get_type(&self) -> Self::Type {
NDArrayType::from_type(self.as_base_value().get_type(), self.dtype, self.llvm_usize)
}
fn as_base_value(&self) -> Self::Base {
self.value
}
}
impl<'ctx> From<NDArrayValue<'ctx>> for PointerValue<'ctx> {
fn from(value: NDArrayValue<'ctx>) -> Self {
value.as_base_value()
}
}
/// Proxy type for accessing the `dims` array of an `NDArray` instance in LLVM.
#[derive(Copy, Clone)]
pub struct NDArrayShapeProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayShapeProxy<'ctx, '_> {
fn element_type<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> AnyTypeEnum<'ctx> {
self.0.shape().base_ptr(ctx, generator).get_type().get_element_type()
}
fn base_ptr<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
_: &G,
) -> PointerValue<'ctx> {
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
ctx.builder
.build_load(self.0.ptr_to_shape(ctx), var_name.as_str())
.map(BasicValueEnum::into_pointer_value)
.unwrap()
}
fn size<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
_: &G,
) -> IntValue<'ctx> {
self.0.load_ndims(ctx)
}
}
impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let var_name = name.map(|v| format!("{v}.addr")).unwrap_or_default();
unsafe {
ctx.builder
.build_in_bounds_gep(self.base_ptr(ctx, generator), &[*idx], var_name.as_str())
.unwrap()
}
}
fn ptr_offset<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let size = self.size(ctx, generator);
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, size, "").unwrap();
ctx.make_assert(
generator,
in_range,
"0:IndexError",
"index {0} is out of bounds for axis 0 with size {1}",
[Some(*idx), Some(self.0.load_ndims(ctx)), None],
ctx.current_loc,
);
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
}
}
impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {}
impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {}
impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
fn downcast_to_type(
&self,
_: &mut CodeGenContext<'ctx, '_>,
value: BasicValueEnum<'ctx>,
) -> IntValue<'ctx> {
value.into_int_value()
}
}
impl<'ctx> TypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
fn upcast_from_type(
&self,
_: &mut CodeGenContext<'ctx, '_>,
value: IntValue<'ctx>,
) -> BasicValueEnum<'ctx> {
value.into()
}
}
/// Proxy type for accessing the `data` array of an `NDArray` instance in LLVM.
#[derive(Copy, Clone)]
pub struct NDArrayDataProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDataProxy<'ctx, '_> {
fn element_type<G: CodeGenerator + ?Sized>(
&self,
_: &CodeGenContext<'ctx, '_>,
_: &G,
) -> AnyTypeEnum<'ctx> {
self.0.dtype.as_any_type_enum()
}
fn base_ptr<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
_: &G,
) -> PointerValue<'ctx> {
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
ctx.builder
.build_load(self.0.ptr_to_data(ctx), var_name.as_str())
.map(BasicValueEnum::into_pointer_value)
.unwrap()
}
fn size<G: CodeGenerator + ?Sized>(
&self,
ctx: &CodeGenContext<'ctx, '_>,
generator: &G,
) -> IntValue<'ctx> {
call_ndarray_calc_size(generator, ctx, &self.as_slice_value(ctx, generator), (None, None))
}
}
impl<'ctx> ArrayLikeIndexer<'ctx> for NDArrayDataProxy<'ctx, '_> {
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let sizeof_elem = ctx
.builder
.build_int_truncate_or_bit_cast(
self.element_type(ctx, generator).size_of().unwrap(),
idx.get_type(),
"",
)
.unwrap();
let idx = ctx.builder.build_int_mul(*idx, sizeof_elem, "").unwrap();
let ptr = unsafe {
ctx.builder
.build_in_bounds_gep(
self.base_ptr(ctx, generator),
&[idx],
name.unwrap_or_default(),
)
.unwrap()
};
// TODO: Current implementation is transparent
ctx.builder
.build_pointer_cast(
ptr,
BasicTypeEnum::try_from(self.element_type(ctx, generator))
.unwrap()
.ptr_type(AddressSpace::default()),
"",
)
.unwrap()
}
fn ptr_offset<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
idx: &IntValue<'ctx>,
name: Option<&str>,
) -> PointerValue<'ctx> {
let data_sz = self.size(ctx, generator);
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, data_sz, "").unwrap();
ctx.make_assert(
generator,
in_range,
"0:IndexError",
"index {0} is out of bounds with size {1}",
[Some(*idx), Some(self.0.load_ndims(ctx)), None],
ctx.current_loc,
);
let ptr = unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) };
// TODO: Current implementation is transparent
ctx.builder
.build_pointer_cast(
ptr,
BasicTypeEnum::try_from(self.element_type(ctx, generator))
.unwrap()
.ptr_type(AddressSpace::default()),
"",
)
.unwrap()
}
}
impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDataProxy<'ctx, '_> {}
impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDataProxy<'ctx, '_> {}
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
for NDArrayDataProxy<'ctx, '_>
{
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
indices: &Index,
name: Option<&str>,
) -> PointerValue<'ctx> {
let llvm_usize = generator.get_size_type(ctx.ctx);
let indices_elem_ty = indices
.ptr_offset(ctx, generator, &llvm_usize.const_zero(), None)
.get_type()
.get_element_type();
let Ok(indices_elem_ty) = IntType::try_from(indices_elem_ty) else {
panic!("Expected list[int32] but got {indices_elem_ty}")
};
assert_eq!(
indices_elem_ty.get_bit_width(),
32,
"Expected list[int32] but got list[int{}]",
indices_elem_ty.get_bit_width()
);
let index = call_ndarray_flatten_index(generator, ctx, *self.0, indices);
let sizeof_elem = ctx
.builder
.build_int_truncate_or_bit_cast(
self.element_type(ctx, generator).size_of().unwrap(),
index.get_type(),
"",
)
.unwrap();
let index = ctx.builder.build_int_mul(index, sizeof_elem, "").unwrap();
let ptr = unsafe {
ctx.builder
.build_in_bounds_gep(
self.base_ptr(ctx, generator),
&[index],
name.unwrap_or_default(),
)
.unwrap()
};
// TODO: Current implementation is transparent
ctx.builder
.build_pointer_cast(
ptr,
BasicTypeEnum::try_from(self.element_type(ctx, generator))
.unwrap()
.ptr_type(AddressSpace::default()),
"",
)
.unwrap()
}
fn ptr_offset<G: CodeGenerator + ?Sized>(
&self,
ctx: &mut CodeGenContext<'ctx, '_>,
generator: &mut G,
indices: &Index,
name: Option<&str>,
) -> PointerValue<'ctx> {
let llvm_usize = generator.get_size_type(ctx.ctx);
let indices_size = indices.size(ctx, generator);
let nidx_leq_ndims = ctx
.builder
.build_int_compare(IntPredicate::SLE, indices_size, self.0.load_ndims(ctx), "")
.unwrap();
ctx.make_assert(
generator,
nidx_leq_ndims,
"0:IndexError",
"invalid index to scalar variable",
[None, None, None],
ctx.current_loc,
);
let indices_len = indices.size(ctx, generator);
let ndarray_len = self.0.load_ndims(ctx);
let len = call_int_umin(ctx, indices_len, ndarray_len, None);
gen_for_callback_incrementing(
generator,
ctx,
None,
llvm_usize.const_zero(),
(len, false),
|generator, ctx, _, i| {
let (dim_idx, dim_sz) = unsafe {
(
indices.get_unchecked(ctx, generator, &i, None).into_int_value(),
self.0.shape().get_typed_unchecked(ctx, generator, &i, None),
)
};
let dim_idx = ctx
.builder
.build_int_z_extend_or_bit_cast(dim_idx, dim_sz.get_type(), "")
.unwrap();
let dim_lt =
ctx.builder.build_int_compare(IntPredicate::SLT, dim_idx, dim_sz, "").unwrap();
ctx.make_assert(
generator,
dim_lt,
"0:IndexError",
"index {0} is out of bounds for axis 0 with size {1}",
[Some(dim_idx), Some(dim_sz), None],
ctx.current_loc,
);
Ok(())
},
llvm_usize.const_int(1, false),
)
.unwrap();
let ptr = unsafe { self.ptr_offset_unchecked(ctx, generator, indices, name) };
// TODO: Current implementation is transparent
ctx.builder
.build_pointer_cast(
ptr,
BasicTypeEnum::try_from(self.element_type(ctx, generator))
.unwrap()
.ptr_type(AddressSpace::default()),
"",
)
.unwrap()
}
}
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> UntypedArrayLikeAccessor<'ctx, Index>
for NDArrayDataProxy<'ctx, '_>
{
}
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> UntypedArrayLikeMutator<'ctx, Index>
for NDArrayDataProxy<'ctx, '_>
{
}

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use inkwell::values::{BasicValueEnum, IntValue, PointerValue};
use super::ProxyValue;
use crate::codegen::{types::RangeType, CodeGenContext};
/// Proxy type for accessing a `range` value in LLVM.
#[derive(Copy, Clone)]
pub struct RangeValue<'ctx> {
value: PointerValue<'ctx>,
name: Option<&'ctx str>,
}
impl<'ctx> RangeValue<'ctx> {
/// Checks whether `value` is an instance of `range`, returning [Err] if `value` is not an instance.
pub fn is_representable(value: PointerValue<'ctx>) -> Result<(), String> {
RangeType::is_representable(value.get_type())
}
/// Creates an [`RangeValue`] from a [`PointerValue`].
#[must_use]
pub fn from_pointer_value(ptr: PointerValue<'ctx>, name: Option<&'ctx str>) -> Self {
debug_assert!(Self::is_representable(ptr).is_ok());
RangeValue { value: ptr, name }
}
fn ptr_to_start(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let llvm_i32 = ctx.ctx.i32_type();
let var_name = self.name.map(|v| format!("{v}.start.addr")).unwrap_or_default();
unsafe {
ctx.builder
.build_in_bounds_gep(
self.as_base_value(),
&[llvm_i32.const_zero(), llvm_i32.const_int(0, false)],
var_name.as_str(),
)
.unwrap()
}
}
fn ptr_to_end(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let llvm_i32 = ctx.ctx.i32_type();
let var_name = self.name.map(|v| format!("{v}.end.addr")).unwrap_or_default();
unsafe {
ctx.builder
.build_in_bounds_gep(
self.as_base_value(),
&[llvm_i32.const_zero(), llvm_i32.const_int(1, false)],
var_name.as_str(),
)
.unwrap()
}
}
fn ptr_to_step(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
let llvm_i32 = ctx.ctx.i32_type();
let var_name = self.name.map(|v| format!("{v}.step.addr")).unwrap_or_default();
unsafe {
ctx.builder
.build_in_bounds_gep(
self.as_base_value(),
&[llvm_i32.const_zero(), llvm_i32.const_int(2, false)],
var_name.as_str(),
)
.unwrap()
}
}
/// Stores the `start` value into this instance.
pub fn store_start(&self, ctx: &CodeGenContext<'ctx, '_>, start: IntValue<'ctx>) {
debug_assert_eq!(start.get_type().get_bit_width(), 32);
let pstart = self.ptr_to_start(ctx);
ctx.builder.build_store(pstart, start).unwrap();
}
/// Returns the `start` value of this `range`.
pub fn load_start(&self, ctx: &CodeGenContext<'ctx, '_>, name: Option<&str>) -> IntValue<'ctx> {
let pstart = self.ptr_to_start(ctx);
let var_name = name
.map(ToString::to_string)
.or_else(|| self.name.map(|v| format!("{v}.start")))
.unwrap_or_default();
ctx.builder
.build_load(pstart, var_name.as_str())
.map(BasicValueEnum::into_int_value)
.unwrap()
}
/// Stores the `end` value into this instance.
pub fn store_end(&self, ctx: &CodeGenContext<'ctx, '_>, end: IntValue<'ctx>) {
debug_assert_eq!(end.get_type().get_bit_width(), 32);
let pend = self.ptr_to_end(ctx);
ctx.builder.build_store(pend, end).unwrap();
}
/// Returns the `end` value of this `range`.
pub fn load_end(&self, ctx: &CodeGenContext<'ctx, '_>, name: Option<&str>) -> IntValue<'ctx> {
let pend = self.ptr_to_end(ctx);
let var_name = name
.map(ToString::to_string)
.or_else(|| self.name.map(|v| format!("{v}.end")))
.unwrap_or_default();
ctx.builder.build_load(pend, var_name.as_str()).map(BasicValueEnum::into_int_value).unwrap()
}
/// Stores the `step` value into this instance.
pub fn store_step(&self, ctx: &CodeGenContext<'ctx, '_>, step: IntValue<'ctx>) {
debug_assert_eq!(step.get_type().get_bit_width(), 32);
let pstep = self.ptr_to_step(ctx);
ctx.builder.build_store(pstep, step).unwrap();
}
/// Returns the `step` value of this `range`.
pub fn load_step(&self, ctx: &CodeGenContext<'ctx, '_>, name: Option<&str>) -> IntValue<'ctx> {
let pstep = self.ptr_to_step(ctx);
let var_name = name
.map(ToString::to_string)
.or_else(|| self.name.map(|v| format!("{v}.step")))
.unwrap_or_default();
ctx.builder
.build_load(pstep, var_name.as_str())
.map(BasicValueEnum::into_int_value)
.unwrap()
}
}
impl<'ctx> ProxyValue<'ctx> for RangeValue<'ctx> {
type Base = PointerValue<'ctx>;
type Type = RangeType<'ctx>;
fn get_type(&self) -> Self::Type {
RangeType::from_type(self.value.get_type())
}
fn as_base_value(&self) -> Self::Base {
self.value
}
}
impl<'ctx> From<RangeValue<'ctx>> for PointerValue<'ctx> {
fn from(value: RangeValue<'ctx>) -> Self {
value.as_base_value()
}
}

8
nac3core/src/lib.rs
View File

@ -1,10 +1,4 @@
#![deny(
future_incompatible,
let_underscore,
nonstandard_style,
rust_2024_compatibility,
clippy::all
)]
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
#![warn(clippy::pedantic)]
#![allow(
dead_code,

4
nac3core/src/toplevel/builtins.rs
View File

@ -18,9 +18,9 @@ use super::{
use crate::{
codegen::{
builtin_fns,
classes::{ProxyValue, RangeValue},
numpy::*,
stmt::exn_constructor,
values::{ProxyValue, RangeValue},
},
symbol_resolver::SymbolValue,
typecheck::typedef::{into_var_map, iter_type_vars, TypeVar, VarMap},
@ -710,7 +710,7 @@ impl<'a> BuiltinBuilder<'a> {
let (zelf_ty, zelf) = obj.unwrap();
let zelf =
zelf.to_basic_value_enum(ctx, generator, zelf_ty)?.into_pointer_value();
let zelf = RangeValue::from_ptr_val(zelf, Some("range"));
let zelf = RangeValue::from_pointer_value(zelf, Some("range"));
let mut start = None;
let mut stop = None;

20
nac3core/src/toplevel/helper.rs
View File

@ -1134,3 +1134,23 @@ pub fn arraylike_get_ndims(unifier: &mut Unifier, ty: Type) -> u64 {
_ => 0,
}
}
/// Extract an ndarray's `ndims` [type][`Type`] in `u64`. Panic if not possible.
/// The `ndims` must only contain 1 value.
#[must_use]
pub fn extract_ndims(unifier: &Unifier, ndims_ty: Type) -> u64 {
let ndims_ty_enum = unifier.get_ty_immutable(ndims_ty);
let TypeEnum::TLiteral { values, .. } = &*ndims_ty_enum else {
panic!("ndims_ty should be a TLiteral");
};
assert_eq!(values.len(), 1, "ndims_ty TLiteral should only contain 1 value");
let ndims = values[0].clone();
u64::try_from(ndims).unwrap()
}
/// Return an ndarray's `ndims` as a typechecker [`Type`] from its `u64` value.
pub fn create_ndims(unifier: &mut Unifier, ndims: u64) -> Type {
unifier.get_fresh_literal(vec![SymbolValue::U64(ndims)], None)
}

5
nac3core/src/typecheck/type_inferencer/mod.rs
View File

@ -536,9 +536,8 @@ impl<'a> Fold<()> for Inferencer<'a> {
}
ast::StmtKind::Assert { test, msg, .. } => {
self.unify(test.custom.unwrap(), self.primitives.bool, &test.location)?;
match msg {
Some(m) => self.unify(m.custom.unwrap(), self.primitives.str, &m.location)?,
None => (),
if let Some(m) = msg {
self.unify(m.custom.unwrap(), self.primitives.str, &m.location)?;
}
}
_ => return report_error("Unsupported statement type", stmt.location),

8
nac3ld/src/lib.rs
View File

@ -1,10 +1,4 @@
#![deny(
future_incompatible,
let_underscore,
nonstandard_style,
rust_2024_compatibility,
clippy::all
)]
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
#![warn(clippy::pedantic)]
#![allow(
clippy::cast_possible_truncation,

10
nac3parser/src/lib.rs
View File

@ -15,13 +15,7 @@
//!
//! ```
#![deny(
future_incompatible,
let_underscore,
nonstandard_style,
rust_2024_compatibility,
clippy::all
)]
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
#![warn(clippy::pedantic)]
#![allow(
clippy::enum_glob_use,
@ -49,11 +43,11 @@ lalrpop_mod!(
future_incompatible,
let_underscore,
nonstandard_style,
rust_2024_compatibility,
unused,
clippy::all,
clippy::pedantic
)]
#[warn(rust_2024_compatibility)]
python
);
pub mod config_comment_helper;

3
nac3standalone/demo/src/ndarray.py
View File

@ -144,6 +144,7 @@ def test_ndarray_array():
# Copy
n2_cpy: ndarray[float, 2] = np_array(n2, copy=False)
output_ndarray_float_2(n2_cpy)
n2_cpy.fill(0.0)
output_ndarray_float_2(n2_cpy)
@ -1756,7 +1757,7 @@ def run() -> int32:
test_ndarray_nextafter_broadcast_rhs_scalar()
test_ndarray_transpose()
test_ndarray_reshape()
test_ndarray_dot()
test_ndarray_cholesky()
test_ndarray_qr()

8
nac3standalone/src/main.rs
View File

@ -1,10 +1,4 @@
#![deny(
future_incompatible,
let_underscore,
nonstandard_style,
rust_2024_compatibility,
clippy::all
)]
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
#![warn(clippy::pedantic)]
#![allow(clippy::too_many_lines, clippy::wildcard_imports)]

26
runkernel/src/main.rs
View File

@ -1,10 +1,4 @@
#![deny(
future_incompatible,
let_underscore,
nonstandard_style,
rust_2024_compatibility,
clippy::all
)]
#![deny(future_incompatible, let_underscore, nonstandard_style, clippy::all)]
#![warn(clippy::pedantic)]
#![allow(clippy::semicolon_if_nothing_returned, clippy::uninlined_format_args)]
@ -12,47 +6,47 @@ use std::env;
static mut NOW: i64 = 0;
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn now_mu() -> i64 {
unsafe { NOW }
}
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn at_mu(t: i64) {
unsafe { NOW = t }
}
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn delay_mu(dt: i64) {
unsafe { NOW += dt }
}
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn rtio_init() {
println!("rtio_init");
}
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn rtio_get_counter() -> i64 {
0
}
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn rtio_output(target: i32, data: i32) {
println!("rtio_output @{} target={target:04x} data={data}", unsafe { NOW });
}
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn print_int32(x: i32) {
println!("print_int32: {x}");
}
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn print_int64(x: i64) {
println!("print_int64: {x}");
}
#[no_mangle]
#[unsafe(no_mangle)]
pub extern "C" fn __nac3_personality(_state: u32, _exception_object: u32, _context: u32) -> u32 {
unimplemented!();
}