WIP
This commit is contained in:
parent
9aae290727
commit
87d2a4ed59
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@ -163,7 +163,10 @@
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clippy
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pre-commit
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rustfmt
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rust-analyzer
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];
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# https://nixos.wiki/wiki/Rust#Shell.nix_example
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RUST_SRC_PATH = "${pkgs.rust.packages.stable.rustPlatform.rustLibSrc}";
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};
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devShells.x86_64-linux.msys2 = pkgs.mkShell {
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name = "nac3-dev-shell-msys2";
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@ -403,6 +403,43 @@ namespace {
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}
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}
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}
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// Simulates `this_ndarray[:] = src_ndarray`, with automatic broadcasting.
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// Caution on https://github.com/numpy/numpy/issues/21744
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// Also see `NDArray::broadcast_to`
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void assign_with(NDArray<SizeT>* src_ndarray) {
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irrt_assert(
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ndarray_util::can_broadcast_shape_to(
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this->ndims,
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this->shape,
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src_ndarray->ndims,
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src_ndarray->shape
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)
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);
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// Broadcast the `src_ndarray` to make the reading process *much* easier
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SizeT* broadcasted_src_ndarray_strides = __builtin_alloca(sizeof(SizeT) * this->ndims); // Remember to allocate strides beforehand
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NDArray<SizeT> broadcasted_src_ndarray = {
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.ndims = this->ndims,
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.shape = this->shape,
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.strides = broadcasted_src_ndarray_strides
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};
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src_ndarray->broadcast_to(&broadcasted_src_ndarray);
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// Using iter instead of `get_nth_pelement` because it is slightly faster
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SizeT* indices = __builtin_alloca(sizeof(SizeT) * this->ndims);
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auto iter = NDArrayIndicesIter<SizeT> {
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.ndims = this->ndims,
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.shape = this->shape,
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.indices = indices
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};
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const SizeT this_size = this->size();
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for (SizeT i = 0; i < this_size; i++, iter.next()) {
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uint8_t* src_pelement = broadcasted_src_ndarray_strides->get_pelement(indices);
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uint8_t* this_pelement = this->get_pelement(indices);
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this->set_value_at_pelement(src_pelement, src_pelement);
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}
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}
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};
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}
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@ -165,7 +165,7 @@ void test_ndarray_indices_iter_normal() {
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int32_t shape[3] = { 1, 2, 3 };
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int32_t indices[3] = { 0, 0, 0 };
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auto iter = NDArrayIndicesIter<int32_t> {
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.ndims = 3u,
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.ndims = 3,
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.shape = shape,
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.indices = indices
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};
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@ -629,6 +629,15 @@ void test_ndarray_broadcast_1() {
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assert_values_match("dst_ndarray[1, 2, 3]", "%f", 49.9, *((double*) dst_ndarray.get_pelement((int32_t[]) {1, 2, 3})));
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}
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void test_assign_with() {
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/*
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```
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xs = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]], dtype=np.float64)
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ys = xs.shape
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```
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*/
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}
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int main() {
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test_calc_size_from_shape_normal();
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test_calc_size_from_shape_has_zero();
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@ -644,5 +653,6 @@ int main() {
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test_ndslice_2();
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test_can_broadcast_shape();
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test_ndarray_broadcast_1();
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test_assign_with();
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return 0;
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}
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@ -1,8 +1,6 @@
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use crate::codegen::{
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irrt::{call_ndarray_calc_size, call_ndarray_flatten_index},
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llvm_intrinsics::call_int_umin,
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stmt::gen_for_callback_incrementing,
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CodeGenContext, CodeGenerator,
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llvm_intrinsics::call_int_umin, stmt::gen_for_callback_incrementing, CodeGenContext,
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CodeGenerator,
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};
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use inkwell::context::Context;
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use inkwell::types::{ArrayType, BasicType, StructType};
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@ -12,6 +10,7 @@ use inkwell::{
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values::{BasicValueEnum, IntValue, PointerValue},
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AddressSpace, IntPredicate,
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};
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use itertools::Itertools;
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/// A LLVM type that is used to represent a non-primitive type in NAC3.
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pub trait ProxyType<'ctx>: Into<Self::Base> {
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@ -1601,7 +1600,8 @@ impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDataProxy<'ctx, '_> {
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ctx: &CodeGenContext<'ctx, '_>,
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generator: &G,
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) -> IntValue<'ctx> {
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call_ndarray_calc_size(generator, ctx, &self.as_slice_value(ctx, generator), (None, None))
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todo!()
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// call_ndarray_calc_size(generator, ctx, &self.as_slice_value(ctx, generator), (None, None))
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}
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}
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@ -1675,17 +1675,19 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
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indices_elem_ty.get_bit_width()
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);
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let index = call_ndarray_flatten_index(generator, ctx, *self.0, indices);
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todo!()
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unsafe {
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ctx.builder
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.build_in_bounds_gep(
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self.base_ptr(ctx, generator),
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&[index],
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name.unwrap_or_default(),
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)
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.unwrap()
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}
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// let index = call_ndarray_flatten_index(generator, ctx, *self.0, indices);
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// unsafe {
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// ctx.builder
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// .build_in_bounds_gep(
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// self.base_ptr(ctx, generator),
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// &[index],
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// name.unwrap_or_default(),
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// )
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// .unwrap()
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// }
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}
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fn ptr_offset<G: CodeGenerator + ?Sized>(
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@ -1761,3 +1763,307 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> UntypedArrayLikeMutator<'ctx,
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for NDArrayDataProxy<'ctx, '_>
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{
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}
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#[derive(Debug, Clone, Copy)]
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pub struct StructField<'ctx> {
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/// The GEP index of this struct field.
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pub gep_index: u32,
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/// Name of this struct field.
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///
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/// Used for generating names.
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pub name: &'static str,
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/// The type of this struct field.
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pub ty: BasicTypeEnum<'ctx>,
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}
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pub struct StructFields<'ctx> {
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/// Name of the struct.
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///
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/// Used for generating names.
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pub name: &'static str,
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/// All the [`StructField`]s of this struct.
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///
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/// **NOTE:** The index position of a [`StructField`]
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/// matches the element's [`StructField::index`].
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pub fields: Vec<StructField<'ctx>>,
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}
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struct StructFieldsBuilder<'ctx> {
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gep_index_counter: u32,
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/// Name of the struct to be built.
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name: &'static str,
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fields: Vec<StructField<'ctx>>,
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}
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impl<'ctx> StructField<'ctx> {
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pub fn gep(
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&self,
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ctx: &CodeGenContext<'ctx, '_>,
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ptr: PointerValue<'ctx>,
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) -> PointerValue<'ctx> {
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ctx.builder.build_struct_gep(ptr, self.gep_index, self.name).unwrap()
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}
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pub fn load(
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&self,
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ctx: &CodeGenContext<'ctx, '_>,
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ptr: PointerValue<'ctx>,
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) -> BasicValueEnum<'ctx> {
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ctx.builder.build_load(self.gep(ctx, ptr), self.name).unwrap()
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}
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pub fn store<V>(&self, ctx: &CodeGenContext<'ctx, '_>, ptr: PointerValue<'ctx>, value: V)
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where
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V: BasicValue<'ctx>,
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{
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ctx.builder.build_store(ptr, value).unwrap();
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}
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}
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type IsInstanceError = String;
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type IsInstanceResult = Result<(), IsInstanceError>;
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pub fn check_basic_types_match<'ctx, A, B>(expected: A, got: B) -> IsInstanceResult
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where
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A: BasicType<'ctx>,
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B: BasicType<'ctx>,
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{
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let expected = expected.as_basic_type_enum();
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let got = got.as_basic_type_enum();
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// Put those logic into here,
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// otherwise there is always a fallback reporting on any kind of mismatch
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match (expected, got) {
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(BasicTypeEnum::IntType(expected), BasicTypeEnum::IntType(got)) => {
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if expected.get_bit_width() != got.get_bit_width() {
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return Err(format!(
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"Expected IntType ({expected}-bit(s)), got IntType ({got}-bit(s))"
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));
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}
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}
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(expected, got) => {
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if expected != got {
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return Err(format!("Expected {expected}, got {got}"));
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}
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}
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}
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Ok(())
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}
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impl<'ctx> StructFields<'ctx> {
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pub fn num_fields(&self) -> u32 {
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self.fields.len() as u32
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}
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pub fn as_struct_type(&self, ctx: &'ctx Context) -> StructType<'ctx> {
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let llvm_fields = self.fields.iter().map(|field| field.ty).collect_vec();
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ctx.struct_type(llvm_fields.as_slice(), false)
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}
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pub fn is_type(&self, scrutinee: StructType<'ctx>) -> IsInstanceResult {
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// Check scrutinee's number of struct fields
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if scrutinee.count_fields() != self.num_fields() {
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return Err(format!(
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"Expected {expected_count} field(s) in `{struct_name}` type, got {got_count}",
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struct_name = self.name,
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expected_count = self.num_fields(),
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got_count = scrutinee.count_fields(),
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));
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}
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// Check the scrutinee's field types
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for field in self.fields.iter() {
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let expected_field_ty = field.ty;
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let got_field_ty = scrutinee.get_field_type_at_index(field.gep_index).unwrap();
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if let Err(field_err) = check_basic_types_match(expected_field_ty, got_field_ty) {
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return Err(format!(
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"Field GEP index {gep_index} does not match the expected type of ({struct_name}::{field_name}): {field_err}",
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gep_index = field.gep_index,
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struct_name = self.name,
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field_name = field.name,
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));
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}
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}
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// Done
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Ok(())
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}
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}
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impl<'ctx> StructFieldsBuilder<'ctx> {
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fn start(name: &'static str) -> Self {
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StructFieldsBuilder { gep_index_counter: 0, name, fields: Vec::new() }
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}
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fn add_field(&mut self, name: &'static str, ty: BasicTypeEnum<'ctx>) -> StructField<'ctx> {
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let index = self.gep_index_counter;
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self.gep_index_counter += 1;
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StructField { gep_index: index, name, ty }
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}
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fn end(self) -> StructFields<'ctx> {
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StructFields { name: self.name, fields: self.fields }
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}
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}
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#[derive(Debug, Clone, Copy)]
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pub struct NpArrayType<'ctx> {
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pub size_type: IntType<'ctx>,
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pub elem_type: BasicTypeEnum<'ctx>,
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}
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pub struct NpArrayStructFields<'ctx> {
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pub whole_struct: StructFields<'ctx>,
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pub data: StructField<'ctx>,
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pub itemsize: StructField<'ctx>,
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pub ndims: StructField<'ctx>,
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pub shape: StructField<'ctx>,
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pub strides: StructField<'ctx>,
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}
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impl<'ctx> NpArrayType<'ctx> {
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pub fn new_opaque_elem(
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ctx: &CodeGenContext<'ctx, '_>,
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size_type: IntType<'ctx>,
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) -> NpArrayType<'ctx> {
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NpArrayType { size_type, elem_type: ctx.ctx.i8_type().as_basic_type_enum() }
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}
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pub fn struct_type(&self, ctx: &CodeGenContext<'ctx, '_>) -> StructType<'ctx> {
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self.fields().whole_struct.as_struct_type(ctx.ctx)
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}
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pub fn fields(&self) -> NpArrayStructFields<'ctx> {
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let mut builder = StructFieldsBuilder::start("NpArray");
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let addrspace = AddressSpace::default();
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let byte_type = self.size_type.get_context().i8_type();
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// Make sure the struct matches PERFECTLY with that defined in `nac3core/irrt`.
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let data = builder.add_field("data", byte_type.ptr_type(addrspace).into());
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let itemsize = builder.add_field("itemsize", self.size_type.into());
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let ndims = builder.add_field("ndims", self.size_type.into());
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let shape = builder.add_field("shape", self.size_type.ptr_type(addrspace).into());
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let strides = builder.add_field("strides", self.size_type.ptr_type(addrspace).into());
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NpArrayStructFields { whole_struct: builder.end(), data, itemsize, ndims, shape, strides }
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}
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/// Allocate an `ndarray` on stack, with the following notes:
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///
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/// - `ndarray.ndims` will be initialized to `in_ndims`.
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/// - `ndarray.itemsize` will be initialized to the size of `self.elem_type.size_of()`.
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/// - `ndarray.shape` and `ndarray.strides` will be allocated on the stack with number of elements being `in_ndims`,
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/// all with empty/uninitialized values.
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pub fn alloca(
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&self,
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ctx: &CodeGenContext<'ctx, '_>,
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in_ndims: IntValue<'ctx>,
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name: &str,
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) -> NpArrayValue<'ctx> {
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let fields = self.fields();
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let ptr =
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ctx.builder.build_alloca(fields.whole_struct.as_struct_type(ctx.ctx), name).unwrap();
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// Allocate `in_dims` number of `size_type` on the stack for `shape` and `strides`
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let allocated_shape =
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ctx.builder.build_array_alloca(fields.shape.ty, in_ndims, "allocated_shape").unwrap();
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let allocated_strides = ctx
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.builder
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.build_array_alloca(fields.strides.ty, in_ndims, "allocated_strides")
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.unwrap();
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let value = NpArrayValue { ty: *self, ptr };
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value.store_ndims(ctx, in_ndims);
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value.store_itemsize(ctx, self.elem_type.size_of().unwrap());
|
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value.store_shape(ctx, allocated_shape);
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value.store_strides(ctx, allocated_strides);
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return value;
|
||||
}
|
||||
}
|
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|
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#[derive(Debug, Clone, Copy)]
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pub struct NpArrayValue<'ctx> {
|
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pub ty: NpArrayType<'ctx>,
|
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pub ptr: PointerValue<'ctx>,
|
||||
}
|
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impl<'ctx> NpArrayValue<'ctx> {
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pub fn load_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
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let field = self.ty.fields().ndims;
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field.load(ctx, self.ptr).into_int_value()
|
||||
}
|
||||
|
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pub fn store_ndims(&self, ctx: &CodeGenContext<'ctx, '_>, value: IntValue<'ctx>) {
|
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let field = self.ty.fields().ndims;
|
||||
field.store(ctx, self.ptr, value);
|
||||
}
|
||||
|
||||
pub fn load_itemsize(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
|
||||
let field = self.ty.fields().itemsize;
|
||||
field.load(ctx, self.ptr).into_int_value()
|
||||
}
|
||||
|
||||
pub fn store_itemsize(&self, ctx: &CodeGenContext<'ctx, '_>, value: IntValue<'ctx>) {
|
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let field = self.ty.fields().itemsize;
|
||||
field.store(ctx, self.ptr, value);
|
||||
}
|
||||
|
||||
pub fn load_shape(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let field = self.ty.fields().shape;
|
||||
field.load(ctx, self.ptr).into_pointer_value()
|
||||
}
|
||||
|
||||
pub fn store_shape(&self, ctx: &CodeGenContext<'ctx, '_>, value: PointerValue<'ctx>) {
|
||||
let field = self.ty.fields().shape;
|
||||
field.store(ctx, self.ptr, value);
|
||||
}
|
||||
|
||||
pub fn load_strides(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let field = self.ty.fields().strides;
|
||||
field.load(ctx, self.ptr).into_pointer_value()
|
||||
}
|
||||
|
||||
pub fn store_strides(&self, ctx: &CodeGenContext<'ctx, '_>, value: PointerValue<'ctx>) {
|
||||
let field = self.ty.fields().strides;
|
||||
field.store(ctx, self.ptr, value);
|
||||
}
|
||||
|
||||
/// TODO: DOCUMENT ME -- NDIMS WOULD NEVER CHANGE!!!!!
|
||||
pub fn shape_slice(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let field = self.ty.fields().shape;
|
||||
field.gep(ctx, self.ptr);
|
||||
|
||||
let ndims = self.load_ndims(ctx);
|
||||
|
||||
TypedArrayLikeAdapter {
|
||||
adapted: ArraySliceValue(self.ptr, ndims, Some(field.name)),
|
||||
downcast_fn: Box::new(|_ctx, x| x.into_int_value()),
|
||||
upcast_fn: Box::new(|_ctx, x| x.as_basic_value_enum()),
|
||||
}
|
||||
}
|
||||
|
||||
/// TODO: DOCUMENT ME -- NDIMS WOULD NEVER CHANGE!!!!!
|
||||
pub fn strides_slice(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let field = self.ty.fields().strides;
|
||||
field.gep(ctx, self.ptr);
|
||||
|
||||
let ndims = self.load_ndims(ctx);
|
||||
|
||||
TypedArrayLikeAdapter {
|
||||
adapted: ArraySliceValue(self.ptr, ndims, Some(field.name)),
|
||||
downcast_fn: Box::new(|_ctx, x| x.into_int_value()),
|
||||
upcast_fn: Box::new(|_ctx, x| x.as_basic_value_enum()),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,11 +1,11 @@
|
|||
use crate::typecheck::typedef::Type;
|
||||
use crate::{typecheck::typedef::Type, util::SizeVariant};
|
||||
|
||||
mod test;
|
||||
|
||||
use super::{
|
||||
classes::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue,
|
||||
TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue, NpArrayType,
|
||||
NpArrayValue, TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
|
||||
},
|
||||
llvm_intrinsics, CodeGenContext, CodeGenerator,
|
||||
};
|
||||
|
|
@ -16,8 +16,8 @@ use inkwell::{
|
|||
context::Context,
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::Module,
|
||||
types::{BasicTypeEnum, IntType},
|
||||
values::{BasicValueEnum, CallSiteValue, FloatValue, IntValue},
|
||||
types::{BasicType, BasicTypeEnum, FunctionType, IntType, PointerType},
|
||||
values::{BasicValueEnum, CallSiteValue, FloatValue, FunctionValue, IntValue},
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
use itertools::Either;
|
||||
|
|
@ -929,3 +929,63 @@ pub fn call_ndarray_calc_broadcast_index<
|
|||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
|
||||
fn get_size_variant<'ctx>(ty: IntType<'ctx>) -> SizeVariant {
|
||||
match ty.get_bit_width() {
|
||||
32 => SizeVariant::Bits32,
|
||||
64 => SizeVariant::Bits64,
|
||||
_ => unreachable!("Unsupported int type bit width {}", ty.get_bit_width()),
|
||||
}
|
||||
}
|
||||
|
||||
fn get_size_type_dependent_function<'ctx, BuildFuncTypeFn>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
size_type: IntType<'ctx>,
|
||||
base_name: &str,
|
||||
build_func_type: BuildFuncTypeFn,
|
||||
) -> FunctionValue<'ctx>
|
||||
where
|
||||
BuildFuncTypeFn: Fn() -> FunctionType<'ctx>,
|
||||
{
|
||||
let mut fn_name = base_name.to_owned();
|
||||
match get_size_variant(size_type) {
|
||||
SizeVariant::Bits32 => {
|
||||
// The original fn_name is the correct function name
|
||||
}
|
||||
SizeVariant::Bits64 => {
|
||||
// Append "64" at the end, this is the naming convention for 64-bit
|
||||
fn_name.push_str("64");
|
||||
}
|
||||
}
|
||||
|
||||
// Get (or declare then get if does not exist) the corresponding function
|
||||
ctx.module.get_function(&fn_name).unwrap_or_else(|| {
|
||||
let fn_type = build_func_type();
|
||||
ctx.module.add_function(&fn_name, fn_type, None)
|
||||
})
|
||||
}
|
||||
|
||||
fn get_ndarray_struct_ptr<'ctx>(ctx: &'ctx Context, size_type: IntType<'ctx>) -> PointerType<'ctx> {
|
||||
let i8_type = ctx.i8_type();
|
||||
|
||||
let ndarray_ty = NpArrayType { size_type, elem_type: i8_type.as_basic_type_enum() };
|
||||
let struct_ty = ndarray_ty.fields().whole_struct.as_struct_type(ctx);
|
||||
struct_ty.ptr_type(AddressSpace::default())
|
||||
}
|
||||
|
||||
pub fn call_nac3_ndarray_size<'ctx>(
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NpArrayValue<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
let size_type = ndarray.ty.size_type;
|
||||
let function = get_size_type_dependent_function(ctx, size_type, "__nac3_ndarray_size", || {
|
||||
size_type.fn_type(&[get_ndarray_struct_ptr(ctx.ctx, size_type).into()], false)
|
||||
});
|
||||
|
||||
ctx.builder
|
||||
.build_call(function, &[ndarray.ptr.into()], "size")
|
||||
.unwrap()
|
||||
.try_as_basic_value()
|
||||
.unwrap_left()
|
||||
.into_int_value()
|
||||
}
|
||||
|
|
|
|||
|
|
@ -23,3 +23,4 @@ pub mod codegen;
|
|||
pub mod symbol_resolver;
|
||||
pub mod toplevel;
|
||||
pub mod typecheck;
|
||||
pub mod util;
|
||||
|
|
@ -1,5 +1,6 @@
|
|||
use std::iter::once;
|
||||
|
||||
use crate::util::SizeVariant;
|
||||
use helper::{debug_assert_prim_is_allowed, make_exception_fields, PrimDefDetails};
|
||||
use indexmap::IndexMap;
|
||||
use inkwell::{
|
||||
|
|
@ -278,21 +279,12 @@ pub fn get_builtins(unifier: &mut Unifier, primitives: &PrimitiveStore) -> Built
|
|||
.collect()
|
||||
}
|
||||
|
||||
/// A helper enum used by [`BuiltinBuilder`]
|
||||
#[derive(Clone, Copy)]
|
||||
enum SizeVariant {
|
||||
Bits32,
|
||||
Bits64,
|
||||
}
|
||||
|
||||
impl SizeVariant {
|
||||
fn of_int(self, primitives: &PrimitiveStore) -> Type {
|
||||
match self {
|
||||
fn size_variant_to_int_type(variant: SizeVariant, primitives: &PrimitiveStore) -> Type {
|
||||
match variant {
|
||||
SizeVariant::Bits32 => primitives.int32,
|
||||
SizeVariant::Bits64 => primitives.int64,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
struct BuiltinBuilder<'a> {
|
||||
unifier: &'a mut Unifier,
|
||||
|
|
@ -1061,7 +1053,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
);
|
||||
|
||||
// The size variant of the function determines the size of the returned int.
|
||||
let int_sized = size_variant.of_int(self.primitives);
|
||||
let int_sized = size_variant_to_int_type(size_variant, self.primitives);
|
||||
|
||||
let ndarray_int_sized =
|
||||
make_ndarray_ty(self.unifier, self.primitives, Some(int_sized), Some(common_ndim.ty));
|
||||
|
|
@ -1086,7 +1078,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
let arg_ty = fun.0.args[0].ty;
|
||||
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
|
||||
|
||||
let ret_elem_ty = size_variant.of_int(&ctx.primitives);
|
||||
let ret_elem_ty = size_variant_to_int_type(size_variant, &ctx.primitives);
|
||||
Ok(Some(builtin_fns::call_round(generator, ctx, (arg_ty, arg), ret_elem_ty)?))
|
||||
}),
|
||||
)
|
||||
|
|
@ -1127,7 +1119,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
make_ndarray_ty(self.unifier, self.primitives, Some(float), Some(common_ndim.ty));
|
||||
|
||||
// The size variant of the function determines the type of int returned
|
||||
let int_sized = size_variant.of_int(self.primitives);
|
||||
let int_sized = size_variant_to_int_type(size_variant, self.primitives);
|
||||
let ndarray_int_sized =
|
||||
make_ndarray_ty(self.unifier, self.primitives, Some(int_sized), Some(common_ndim.ty));
|
||||
|
||||
|
|
@ -1150,7 +1142,7 @@ impl<'a> BuiltinBuilder<'a> {
|
|||
let arg_ty = fun.0.args[0].ty;
|
||||
let arg = args[0].1.clone().to_basic_value_enum(ctx, generator, arg_ty)?;
|
||||
|
||||
let ret_elem_ty = size_variant.of_int(&ctx.primitives);
|
||||
let ret_elem_ty = size_variant_to_int_type(size_variant, &ctx.primitives);
|
||||
let func = match kind {
|
||||
Kind::Ceil => builtin_fns::call_ceil,
|
||||
Kind::Floor => builtin_fns::call_floor,
|
||||
|
|
|
|||
Loading…
Reference in New Issue