Compare commits
9 Commits
2d8b7a262c
...
339c666ea6
| Author | SHA1 | Date |
|---|---|---|
 David Mak
|
339c666ea6 | |
|
David Mak
|
d6b884664e | |
|
David Mak
|
bb18ace08f | |
|
David Mak
|
7796dd5e4f | |
|
David Mak
|
373f4307c9 | |
|
David Mak
|
b469de51bc | |
 lyken
|
a9afa92cea | |
|
lyken
|
a14c00434c | |
|
David Mak
|
423b26ea81 |
|
|
@ -282,6 +282,12 @@ dependencies = [
|
|||
"crypto-common",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "dissimilar"
|
||||
version = "1.0.9"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "59f8e79d1fbf76bdfbde321e902714bf6c49df88a7dda6fc682fc2979226962d"
|
||||
|
||||
[[package]]
|
||||
name = "either"
|
||||
version = "1.13.0"
|
||||
|
|
@ -370,6 +376,12 @@ dependencies = [
|
|||
"wasi",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "glob"
|
||||
version = "0.3.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "d2fabcfbdc87f4758337ca535fb41a6d701b65693ce38287d856d1674551ec9b"
|
||||
|
||||
[[package]]
|
||||
name = "hashbrown"
|
||||
version = "0.12.3"
|
||||
|
|
@ -648,6 +660,7 @@ dependencies = [
|
|||
"inkwell",
|
||||
"insta",
|
||||
"itertools",
|
||||
"nac3core_derive",
|
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"nac3parser",
|
||||
"parking_lot",
|
||||
"rayon",
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|
|
@ -657,6 +670,18 @@ dependencies = [
|
|||
"test-case",
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||||
]
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||||
|
||||
[[package]]
|
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name = "nac3core_derive"
|
||||
version = "0.1.0"
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||||
dependencies = [
|
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"nac3core",
|
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"proc-macro-error",
|
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"proc-macro2",
|
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"quote",
|
||||
"syn 2.0.87",
|
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"trybuild",
|
||||
]
|
||||
|
||||
[[package]]
|
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name = "nac3ld"
|
||||
version = "0.1.0"
|
||||
|
|
@ -822,6 +847,30 @@ version = "0.1.1"
|
|||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "925383efa346730478fb4838dbe9137d2a47675ad789c546d150a6e1dd4ab31c"
|
||||
|
||||
[[package]]
|
||||
name = "proc-macro-error"
|
||||
version = "1.0.4"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "da25490ff9892aab3fcf7c36f08cfb902dd3e71ca0f9f9517bea02a73a5ce38c"
|
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dependencies = [
|
||||
"proc-macro-error-attr",
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 1.0.109",
|
||||
"version_check",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "proc-macro-error-attr"
|
||||
version = "1.0.4"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "a1be40180e52ecc98ad80b184934baf3d0d29f979574e439af5a55274b35f869"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"version_check",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "proc-macro2"
|
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version = "1.0.89"
|
||||
|
|
@ -1076,6 +1125,15 @@ dependencies = [
|
|||
"serde",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "serde_spanned"
|
||||
version = "0.6.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "87607cb1398ed59d48732e575a4c28a7a8ebf2454b964fe3f224f2afc07909e1"
|
||||
dependencies = [
|
||||
"serde",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "serde_yaml"
|
||||
version = "0.8.26"
|
||||
|
|
@ -1199,6 +1257,12 @@ version = "0.12.16"
|
|||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "61c41af27dd6d1e27b1b16b489db798443478cef1f06a660c96db617ba5de3b1"
|
||||
|
||||
[[package]]
|
||||
name = "target-triple"
|
||||
version = "0.1.3"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "42a4d50cdb458045afc8131fd91b64904da29548bcb63c7236e0844936c13078"
|
||||
|
||||
[[package]]
|
||||
name = "tempfile"
|
||||
version = "3.14.0"
|
||||
|
|
@ -1222,6 +1286,15 @@ dependencies = [
|
|||
"windows-sys 0.52.0",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "termcolor"
|
||||
version = "1.4.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "06794f8f6c5c898b3275aebefa6b8a1cb24cd2c6c79397ab15774837a0bc5755"
|
||||
dependencies = [
|
||||
"winapi-util",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "test-case"
|
||||
version = "1.2.3"
|
||||
|
|
@ -1255,6 +1328,56 @@ dependencies = [
|
|||
"syn 2.0.87",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "toml"
|
||||
version = "0.8.19"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "a1ed1f98e3fdc28d6d910e6737ae6ab1a93bf1985935a1193e68f93eeb68d24e"
|
||||
dependencies = [
|
||||
"serde",
|
||||
"serde_spanned",
|
||||
"toml_datetime",
|
||||
"toml_edit",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "toml_datetime"
|
||||
version = "0.6.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0dd7358ecb8fc2f8d014bf86f6f638ce72ba252a2c3a2572f2a795f1d23efb41"
|
||||
dependencies = [
|
||||
"serde",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "toml_edit"
|
||||
version = "0.22.22"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "4ae48d6208a266e853d946088ed816055e556cc6028c5e8e2b84d9fa5dd7c7f5"
|
||||
dependencies = [
|
||||
"indexmap 2.6.0",
|
||||
"serde",
|
||||
"serde_spanned",
|
||||
"toml_datetime",
|
||||
"winnow",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "trybuild"
|
||||
version = "1.0.101"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "8dcd332a5496c026f1e14b7f3d2b7bd98e509660c04239c58b0ba38a12daded4"
|
||||
dependencies = [
|
||||
"dissimilar",
|
||||
"glob",
|
||||
"serde",
|
||||
"serde_derive",
|
||||
"serde_json",
|
||||
"target-triple",
|
||||
"termcolor",
|
||||
"toml",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "typenum"
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version = "1.17.0"
|
||||
|
|
@ -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"
|
||||
|
|
|
|||
|
|
@ -4,6 +4,7 @@ members = [
|
|||
"nac3ast",
|
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"nac3parser",
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"nac3core",
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"nac3core/nac3core_derive",
|
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"nac3standalone",
|
||||
"nac3artiq",
|
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"runkernel",
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||||
|
|
|
|||
|
|
@ -461,8 +461,7 @@ fn format_rpc_arg<'ctx>(
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let (elem_ty, _) = unpack_ndarray_var_tys(&mut ctx.unifier, arg_ty);
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let llvm_elem_ty = ctx.get_llvm_type(generator, elem_ty);
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let llvm_arg_ty = NDArrayType::new(generator, ctx.ctx, llvm_elem_ty);
|
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let llvm_arg =
|
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NDArrayValue::from_pointer_value(arg.into_pointer_value(), llvm_usize, None);
|
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let llvm_arg = llvm_arg_ty.map_value(arg.into_pointer_value(), None);
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let llvm_usize_sizeof = ctx
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.builder
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|
|
@ -499,7 +498,7 @@ fn format_rpc_arg<'ctx>(
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|||
call_memcpy_generic(
|
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ctx,
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pbuffer_dims_begin,
|
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llvm_arg.dim_sizes().base_ptr(ctx, generator),
|
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llvm_arg.shape().base_ptr(ctx, generator),
|
||||
dims_buf_sz,
|
||||
llvm_i1.const_zero(),
|
||||
);
|
||||
|
|
@ -613,7 +612,7 @@ fn format_rpc_ret<'ctx>(
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|||
// Set `ndarray.ndims`
|
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ndarray.store_ndims(ctx, generator, llvm_usize.const_int(ndims, false));
|
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// Allocate `ndarray.shape` [size_t; ndims]
|
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ndarray.create_dim_sizes(ctx, llvm_usize, ndarray.load_ndims(ctx));
|
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ndarray.create_shape(ctx, llvm_usize, ndarray.load_ndims(ctx));
|
||||
|
||||
/*
|
||||
ndarray now:
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|
|
@ -703,7 +702,7 @@ fn format_rpc_ret<'ctx>(
|
|||
|
||||
call_memcpy_generic(
|
||||
ctx,
|
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ndarray.dim_sizes().base_ptr(ctx, generator),
|
||||
ndarray.shape().base_ptr(ctx, generator),
|
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pbuffer_dims,
|
||||
sizeof_dims,
|
||||
llvm_i1.const_zero(),
|
||||
|
|
@ -715,7 +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)
|
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let num_elements =
|
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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 {
|
||||
|
|
@ -1369,13 +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_pointer_value(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();
|
||||
|
||||
|
|
|
|||
|
|
@ -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"
|
||||
|
|
|
|||
|
|
@ -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"
|
||||
|
|
|
|||
|
|
@ -4,6 +4,6 @@
|
|||
|
||||
template<typename SizeT>
|
||||
struct CSlice {
|
||||
uint8_t* base;
|
||||
void* base;
|
||||
SizeT len;
|
||||
};
|
||||
|
|
@ -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
|
||||
|
|
@ -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;
|
||||
|
|
|
|||
|
|
@ -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;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -90,4 +90,4 @@ double __nac3_j0(double x) {
|
|||
|
||||
return j0(x);
|
||||
}
|
||||
}
|
||||
} // namespace
|
||||
|
|
@ -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
|
||||
|
|
@ -25,4 +25,4 @@ SliceIndex __nac3_range_slice_len(const SliceIndex start, const SliceIndex end,
|
|||
return 0;
|
||||
}
|
||||
}
|
||||
}
|
||||
} // namespace
|
||||
|
|
@ -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"
|
||||
|
|
@ -0,0 +1,320 @@
|
|||
use proc_macro::TokenStream;
|
||||
use proc_macro_error::{abort, proc_macro_error};
|
||||
use quote::quote;
|
||||
use syn::{
|
||||
parse_macro_input, spanned::Spanned, Data, DataStruct, Expr, ExprField, ExprMethodCall,
|
||||
ExprPath, GenericArgument, Ident, LitStr, Path, PathArguments, Type, TypePath,
|
||||
};
|
||||
|
||||
/// Extracts all generic arguments of a [`Type`] into a [`Vec`].
|
||||
///
|
||||
/// Returns [`Some`] of a possibly-empty [`Vec`] if the path of `ty` matches with
|
||||
/// `expected_ty_name`, otherwise returns [`None`].
|
||||
fn extract_generic_args(expected_ty_name: &'static str, ty: &Type) -> Option<Vec<GenericArgument>> {
|
||||
let Type::Path(TypePath { qself: None, path, .. }) = ty else {
|
||||
return None;
|
||||
};
|
||||
|
||||
let segments = &path.segments;
|
||||
if segments.len() != 1 {
|
||||
return None;
|
||||
};
|
||||
|
||||
let segment = segments.iter().next().unwrap();
|
||||
if segment.ident != expected_ty_name {
|
||||
return None;
|
||||
}
|
||||
|
||||
let PathArguments::AngleBracketed(path_args) = &segment.arguments else {
|
||||
return Some(Vec::new());
|
||||
};
|
||||
let args = &path_args.args;
|
||||
|
||||
Some(args.iter().cloned().collect::<Vec<_>>())
|
||||
}
|
||||
|
||||
/// Maps a `path` matching one of the `target_idents` into the `replacement` [`Ident`].
|
||||
fn map_path_to_ident(path: &Path, target_idents: &[&str], replacement: &str) -> Option<Ident> {
|
||||
path.require_ident()
|
||||
.ok()
|
||||
.filter(|ident| target_idents.iter().any(|target| ident == target))
|
||||
.map(|ident| Ident::new(replacement, ident.span()))
|
||||
}
|
||||
|
||||
/// Extracts the left-hand side of a dot-expression.
|
||||
fn extract_dot_operand(expr: &Expr) -> Option<&Expr> {
|
||||
match expr {
|
||||
Expr::MethodCall(ExprMethodCall { receiver: operand, .. })
|
||||
| Expr::Field(ExprField { base: operand, .. }) => Some(operand),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
|
||||
/// Replaces the top-level receiver of a dot-expression with an [`Ident`], returning `Some(&mut expr)` if the
|
||||
/// replacement is performed.
|
||||
///
|
||||
/// The top-level receiver is the left-most receiver expression, e.g. the top-level receiver of `a.b.c.foo()` is `a`.
|
||||
fn replace_top_level_receiver(expr: &mut Expr, ident: Ident) -> Option<&mut Expr> {
|
||||
if let Expr::MethodCall(ExprMethodCall { receiver: operand, .. })
|
||||
| Expr::Field(ExprField { base: operand, .. }) = expr
|
||||
{
|
||||
return if extract_dot_operand(operand).is_some() {
|
||||
if replace_top_level_receiver(operand, ident).is_some() {
|
||||
Some(expr)
|
||||
} else {
|
||||
None
|
||||
}
|
||||
} else {
|
||||
*operand = Box::new(Expr::Path(ExprPath {
|
||||
attrs: Vec::default(),
|
||||
qself: None,
|
||||
path: ident.into(),
|
||||
}));
|
||||
|
||||
Some(expr)
|
||||
};
|
||||
}
|
||||
|
||||
None
|
||||
}
|
||||
|
||||
/// Iterates all operands to the left-hand side of the `.` of an [expression][`Expr`], i.e. the container operand of all
|
||||
/// [`Expr::Field`] and the receiver operand of all [`Expr::MethodCall`].
|
||||
///
|
||||
/// The iterator will return the operand expressions in reverse order of appearance. For example, `a.b.c.func()` will
|
||||
/// return `vec![c, b, a]`.
|
||||
fn iter_dot_operands(expr: &Expr) -> impl Iterator<Item = &Expr> {
|
||||
let mut o = extract_dot_operand(expr);
|
||||
|
||||
std::iter::from_fn(move || {
|
||||
let this = o;
|
||||
o = o.as_ref().and_then(|o| extract_dot_operand(o));
|
||||
|
||||
this
|
||||
})
|
||||
}
|
||||
|
||||
/// Normalizes a value expression for use when creating an instance of this structure, returning a
|
||||
/// [`proc_macro2::TokenStream`] of tokens representing the normalized expression.
|
||||
fn normalize_value_expr(expr: &Expr) -> proc_macro2::TokenStream {
|
||||
match &expr {
|
||||
Expr::Path(ExprPath { qself: None, path, .. }) => {
|
||||
if let Some(ident) = map_path_to_ident(path, &["usize", "size_t"], "llvm_usize") {
|
||||
quote! { #ident }
|
||||
} else {
|
||||
abort!(
|
||||
path,
|
||||
format!(
|
||||
"Expected one of `size_t`, `usize`, or an implicit call expression in #[value_type(...)], found {}",
|
||||
quote!(#expr).to_string(),
|
||||
)
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
Expr::Call(_) => {
|
||||
quote! { ctx.#expr }
|
||||
}
|
||||
|
||||
Expr::MethodCall(_) => {
|
||||
let base_receiver = iter_dot_operands(expr).last();
|
||||
|
||||
match base_receiver {
|
||||
// `usize.{...}`, `size_t.{...}` -> Rewrite the identifiers to `llvm_usize`
|
||||
Some(Expr::Path(ExprPath { qself: None, path, .. }))
|
||||
if map_path_to_ident(path, &["usize", "size_t"], "llvm_usize").is_some() =>
|
||||
{
|
||||
let ident =
|
||||
map_path_to_ident(path, &["usize", "size_t"], "llvm_usize").unwrap();
|
||||
|
||||
let mut expr = expr.clone();
|
||||
let expr = replace_top_level_receiver(&mut expr, ident).unwrap();
|
||||
|
||||
quote!(#expr)
|
||||
}
|
||||
|
||||
// `ctx.{...}`, `context.{...}` -> Rewrite the identifiers to `ctx`
|
||||
Some(Expr::Path(ExprPath { qself: None, path, .. }))
|
||||
if map_path_to_ident(path, &["ctx", "context"], "ctx").is_some() =>
|
||||
{
|
||||
let ident = map_path_to_ident(path, &["ctx", "context"], "ctx").unwrap();
|
||||
|
||||
let mut expr = expr.clone();
|
||||
let expr = replace_top_level_receiver(&mut expr, ident).unwrap();
|
||||
|
||||
quote!(#expr)
|
||||
}
|
||||
|
||||
// No reserved identifier prefix -> Prepend `ctx.` to the entire expression
|
||||
_ => quote! { ctx.#expr },
|
||||
}
|
||||
}
|
||||
|
||||
_ => {
|
||||
abort!(
|
||||
expr,
|
||||
format!(
|
||||
"Expected one of `size_t`, `usize`, or an implicit call expression in #[value_type(...)], found {}",
|
||||
quote!(#expr).to_string(),
|
||||
)
|
||||
)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Derives an implementation of `codegen::types::structure::StructFields`.
|
||||
///
|
||||
/// The benefit of using `#[derive(StructFields)]` is that all index- or order-dependent logic required by
|
||||
/// `impl StructFields` is automatically generated by this implementation, including the field index as required by
|
||||
/// `StructField::new` and the fields as returned by `StructFields::to_vec`.
|
||||
///
|
||||
/// # Prerequisites
|
||||
///
|
||||
/// In order to derive from [`StructFields`], you must implement (or derive) [`Eq`] and [`Copy`] as required by
|
||||
/// `StructFields`.
|
||||
///
|
||||
/// Moreover, `#[derive(StructFields)]` can only be used for `struct`s with named fields, and may only contain fields
|
||||
/// with either `StructField` or [`PhantomData`] types.
|
||||
///
|
||||
/// # Attributes for [`StructFields`]
|
||||
///
|
||||
/// Each `StructField` field must be declared with the `#[value_type(...)]` attribute. The argument of `value_type`
|
||||
/// accepts one of the following:
|
||||
///
|
||||
/// - An expression returning an instance of `inkwell::types::BasicType` (with or without the receiver `ctx`/`context`).
|
||||
/// For example, `context.i8_type()`, `ctx.i8_type()`, and `i8_type()` all refer to `i8`.
|
||||
/// - The reserved identifiers `usize` and `size_t` referring to an `inkwell::types::IntType` of the platform-dependent
|
||||
/// integer size. `usize` and `size_t` can also be used as the receiver to other method calls, e.g.
|
||||
/// `usize.array_type(3)`.
|
||||
///
|
||||
/// # Example
|
||||
///
|
||||
/// The following is an example of an LLVM slice implemented using `#[derive(StructFields)]`.
|
||||
///
|
||||
/// ```
|
||||
/// use nac3core::{
|
||||
/// codegen::types::structure::StructField,
|
||||
/// inkwell::{
|
||||
/// values::{IntValue, PointerValue},
|
||||
/// AddressSpace,
|
||||
/// },
|
||||
/// };
|
||||
/// use nac3core_derive::StructFields;
|
||||
///
|
||||
/// // All classes that implement StructFields must also implement Eq and Copy
|
||||
/// #[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
/// pub struct SliceValue<'ctx> {
|
||||
/// // Declares ptr have a value type of i8*
|
||||
/// //
|
||||
/// // Can also be written as `ctx.i8_type().ptr_type(...)` or `context.i8_type().ptr_type(...)`
|
||||
/// #[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
/// ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
///
|
||||
/// // Declares len have a value type of usize, depending on the target compilation platform
|
||||
/// #[value_type(usize)]
|
||||
/// len: StructField<'ctx, IntValue<'ctx>>,
|
||||
/// }
|
||||
/// ```
|
||||
#[proc_macro_derive(StructFields, attributes(value_type))]
|
||||
#[proc_macro_error]
|
||||
pub fn derive(input: TokenStream) -> TokenStream {
|
||||
let input = parse_macro_input!(input as syn::DeriveInput);
|
||||
let ident = &input.ident;
|
||||
|
||||
let Data::Struct(DataStruct { fields, .. }) = &input.data else {
|
||||
abort!(input, "Only structs with named fields are supported");
|
||||
};
|
||||
if let Err(err_span) =
|
||||
fields
|
||||
.iter()
|
||||
.try_for_each(|field| if field.ident.is_some() { Ok(()) } else { Err(field.span()) })
|
||||
{
|
||||
abort!(err_span, "Only structs with named fields are supported");
|
||||
};
|
||||
|
||||
// Check if struct<'ctx>
|
||||
if input.generics.params.len() != 1 {
|
||||
abort!(input.generics, "Expected exactly 1 generic parameter")
|
||||
}
|
||||
|
||||
let phantom_info = fields
|
||||
.iter()
|
||||
.filter(|field| extract_generic_args("PhantomData", &field.ty).is_some())
|
||||
.map(|field| field.ident.as_ref().unwrap())
|
||||
.cloned()
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
let field_info = fields
|
||||
.iter()
|
||||
.filter(|field| extract_generic_args("PhantomData", &field.ty).is_none())
|
||||
.map(|field| {
|
||||
let ident = field.ident.as_ref().unwrap();
|
||||
let ty = &field.ty;
|
||||
|
||||
let Some(_) = extract_generic_args("StructField", ty) else {
|
||||
abort!(field, "Only StructField and PhantomData are allowed")
|
||||
};
|
||||
|
||||
let attrs = &field.attrs;
|
||||
let Some(value_type_attr) =
|
||||
attrs.iter().find(|attr| attr.path().is_ident("value_type"))
|
||||
else {
|
||||
abort!(field, "Expected #[value_type(...)] attribute for field");
|
||||
};
|
||||
|
||||
let Ok(value_type_expr) = value_type_attr.parse_args::<Expr>() else {
|
||||
abort!(value_type_attr, "Expected expression in #[value_type(...)]");
|
||||
};
|
||||
|
||||
let value_expr_toks = normalize_value_expr(&value_type_expr);
|
||||
|
||||
(ident.clone(), value_expr_toks)
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
// `<*>::new` impl of `StructField` and `PhantomData` for `StructFields::new`
|
||||
let phantoms_create = phantom_info
|
||||
.iter()
|
||||
.map(|id| quote! { #id: ::std::marker::PhantomData })
|
||||
.collect::<Vec<_>>();
|
||||
let fields_create = field_info
|
||||
.iter()
|
||||
.map(|(id, ty)| {
|
||||
let id_lit = LitStr::new(&id.to_string(), id.span());
|
||||
quote! {
|
||||
#id: ::nac3core::codegen::types::structure::StructField::create(
|
||||
&mut counter,
|
||||
#id_lit,
|
||||
#ty,
|
||||
)
|
||||
}
|
||||
})
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
// `.into()` impl of `StructField` for `StructFields::to_vec`
|
||||
let fields_into =
|
||||
field_info.iter().map(|(id, _)| quote! { self.#id.into() }).collect::<Vec<_>>();
|
||||
|
||||
let impl_block = quote! {
|
||||
impl<'ctx> ::nac3core::codegen::types::structure::StructFields<'ctx> for #ident<'ctx> {
|
||||
fn new(ctx: impl ::nac3core::inkwell::context::AsContextRef<'ctx>, llvm_usize: ::nac3core::inkwell::types::IntType<'ctx>) -> Self {
|
||||
let ctx = unsafe { ::nac3core::inkwell::context::ContextRef::new(ctx.as_ctx_ref()) };
|
||||
|
||||
let mut counter = ::nac3core::codegen::types::structure::FieldIndexCounter::default();
|
||||
|
||||
#ident {
|
||||
#(#fields_create),*
|
||||
#(#phantoms_create),*
|
||||
}
|
||||
}
|
||||
|
||||
fn to_vec(&self) -> ::std::vec::Vec<(&'static str, ::nac3core::inkwell::types::BasicTypeEnum<'ctx>)> {
|
||||
vec![
|
||||
#(#fields_into),*
|
||||
]
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
impl_block.into()
|
||||
}
|
||||
|
|
@ -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() {}
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
use nac3core::{
|
||||
codegen::types::structure::StructField,
|
||||
inkwell::{
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
},
|
||||
};
|
||||
use nac3core_derive::StructFields;
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct NDArrayValue<'ctx> {
|
||||
#[value_type(usize)]
|
||||
ndims: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
shape: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
data: StructField<'ctx, PointerValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
|
|
@ -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() {}
|
||||
|
|
@ -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(context.i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
|
|
@ -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(ctx.i8_type().ptr_type(AddressSpace::default()))]
|
||||
ptr: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(usize)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
|
|
@ -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(size_t)]
|
||||
len: StructField<'ctx, IntValue<'ctx>>,
|
||||
}
|
||||
|
||||
fn main() {}
|
||||
|
|
@ -0,0 +1,10 @@
|
|||
#[test]
|
||||
fn test_parse_empty() {
|
||||
let t = trybuild::TestCases::new();
|
||||
t.pass("tests/structfields_empty.rs");
|
||||
t.pass("tests/structfields_slice.rs");
|
||||
t.pass("tests/structfields_slice_ctx.rs");
|
||||
t.pass("tests/structfields_slice_context.rs");
|
||||
t.pass("tests/structfields_slice_sizet.rs");
|
||||
t.pass("tests/structfields_ndarray.rs");
|
||||
}
|
||||
|
|
@ -21,7 +21,10 @@ use super::{
|
|||
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},
|
||||
};
|
||||
|
||||
|
|
@ -65,12 +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_pointer_value(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
|
||||
|
|
@ -83,12 +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()
|
||||
|
|
@ -143,13 +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_pointer_value(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)),
|
||||
)?;
|
||||
|
||||
|
|
@ -205,13 +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_pointer_value(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)),
|
||||
)?;
|
||||
|
||||
|
|
@ -283,13 +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_pointer_value(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)),
|
||||
)?;
|
||||
|
||||
|
|
@ -350,13 +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_pointer_value(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)),
|
||||
)?;
|
||||
|
||||
|
|
@ -416,13 +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_pointer_value(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)),
|
||||
)?;
|
||||
|
||||
|
|
@ -462,13 +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_pointer_value(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),
|
||||
)?;
|
||||
|
||||
|
|
@ -502,13 +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_pointer_value(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)),
|
||||
)?;
|
||||
|
||||
|
|
@ -567,13 +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_pointer_value(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))?;
|
||||
|
||||
|
|
@ -621,13 +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_pointer_value(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),
|
||||
)?;
|
||||
|
||||
|
|
@ -671,13 +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_pointer_value(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),
|
||||
)?;
|
||||
|
||||
|
|
@ -806,8 +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))
|
||||
},
|
||||
|
|
@ -906,10 +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_pointer_value(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
|
||||
|
|
@ -926,7 +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 {
|
||||
|
|
@ -1068,8 +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))
|
||||
},
|
||||
|
|
@ -1114,6 +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(
|
||||
|
|
@ -1121,7 +1135,7 @@ where
|
|||
ctx,
|
||||
ret_elem_ty,
|
||||
None,
|
||||
NDArrayValue::from_pointer_value(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,
|
||||
|
|
@ -1508,8 +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))
|
||||
},
|
||||
|
|
@ -1575,8 +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))
|
||||
},
|
||||
|
|
@ -1642,8 +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))
|
||||
},
|
||||
|
|
@ -1709,8 +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))
|
||||
},
|
||||
|
|
@ -1765,8 +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))
|
||||
},
|
||||
|
|
@ -1832,8 +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))
|
||||
},
|
||||
|
|
@ -1899,8 +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))
|
||||
},
|
||||
|
|
@ -1960,14 +1974,14 @@ pub fn call_np_linalg_cholesky<'ctx, G: CodeGenerator + ?Sized>(
|
|||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(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()
|
||||
};
|
||||
|
|
@ -2002,14 +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_pointer_value(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()
|
||||
};
|
||||
|
|
@ -2052,15 +2066,15 @@ pub fn call_np_linalg_svd<'ctx, G: CodeGenerator + ?Sized>(
|
|||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(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()
|
||||
};
|
||||
|
|
@ -2107,14 +2121,14 @@ pub fn call_np_linalg_inv<'ctx, G: CodeGenerator + ?Sized>(
|
|||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(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()
|
||||
};
|
||||
|
|
@ -2149,15 +2163,15 @@ pub fn call_np_linalg_pinv<'ctx, G: CodeGenerator + ?Sized>(
|
|||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(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()
|
||||
};
|
||||
|
|
@ -2192,15 +2206,15 @@ pub fn call_sp_linalg_lu<'ctx, G: CodeGenerator + ?Sized>(
|
|||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(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()
|
||||
};
|
||||
|
|
@ -2245,7 +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_pointer_value(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,
|
||||
|
|
@ -2265,12 +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()
|
||||
};
|
||||
|
|
@ -2340,10 +2354,10 @@ pub fn call_sp_linalg_schur<'ctx, G: CodeGenerator + ?Sized>(
|
|||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(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()
|
||||
};
|
||||
|
|
@ -2383,10 +2397,10 @@ pub fn call_sp_linalg_hessenberg<'ctx, G: CodeGenerator + ?Sized>(
|
|||
unsupported_type(ctx, FN_NAME, &[x1_ty]);
|
||||
};
|
||||
|
||||
let n1 = NDArrayValue::from_pointer_value(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()
|
||||
};
|
||||
|
|
|
|||
|
|
@ -1564,10 +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_pointer_value(left_val.into_pointer_value(), llvm_usize, None);
|
||||
let right_val =
|
||||
NDArrayValue::from_pointer_value(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
|
||||
|
|
@ -1591,8 +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,
|
||||
|
|
@ -1616,8 +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 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,
|
||||
);
|
||||
|
|
@ -1629,8 +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,
|
||||
|
|
@ -1810,8 +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_pointer_value(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
|
||||
|
|
@ -1902,15 +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_pointer_value(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,
|
||||
|
|
@ -1941,8 +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,
|
||||
|
|
@ -2606,7 +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),
|
||||
|
|
@ -2647,7 +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),
|
||||
|
|
@ -2771,8 +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_pointer_value(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(
|
||||
|
|
@ -2784,7 +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
|
||||
|
|
@ -2795,7 +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),
|
||||
|
|
@ -2804,7 +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(), "")
|
||||
|
|
@ -2816,7 +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
|
||||
|
|
@ -3510,6 +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())?
|
||||
|
|
@ -3517,7 +3547,7 @@ pub fn gen_expr<'ctx, G: CodeGenerator>(
|
|||
} else {
|
||||
return Ok(None);
|
||||
};
|
||||
let v = NDArrayValue::from_pointer_value(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);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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);
|
||||
}
|
||||
|
|
@ -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()
|
||||
}
|
||||
|
|
@ -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::{
|
||||
llvm_intrinsics,
|
||||
macros::codegen_unreachable,
|
||||
stmt::gen_for_callback_incrementing,
|
||||
values::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue,
|
||||
TypedArrayLikeAccessor, TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
|
||||
},
|
||||
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()),
|
||||
)
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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()),
|
||||
)
|
||||
}
|
||||
|
|
@ -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()
|
||||
}
|
||||
|
|
@ -26,7 +26,7 @@ use super::{
|
|||
use crate::{
|
||||
symbol_resolver::ValueEnum,
|
||||
toplevel::{
|
||||
helper::PrimDef,
|
||||
helper::{arraylike_flatten_element_type, PrimDef},
|
||||
numpy::{make_ndarray_ty, unpack_ndarray_var_tys},
|
||||
DefinitionId,
|
||||
},
|
||||
|
|
@ -42,6 +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);
|
||||
|
|
@ -54,7 +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_pointer_value(ndarray, llvm_usize, None))
|
||||
Ok(NDArrayValue::from_pointer_value(ndarray, llvm_elem_ty, llvm_usize, None))
|
||||
}
|
||||
|
||||
/// Creates an `NDArray` instance from a dynamic shape.
|
||||
|
|
@ -127,7 +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)?;
|
||||
|
|
@ -143,7 +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();
|
||||
|
||||
|
|
@ -194,12 +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),
|
||||
|
|
@ -228,7 +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);
|
||||
|
|
@ -379,7 +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),
|
||||
);
|
||||
|
||||
|
|
@ -473,8 +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
|
||||
|
|
@ -487,8 +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),
|
||||
|
|
@ -499,14 +500,26 @@ where
|
|||
|
||||
// Assert that all ndarray operands are broadcastable to the target size
|
||||
if !lhs_scalar {
|
||||
let lhs_val =
|
||||
NDArrayValue::from_pointer_value(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_pointer_value(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);
|
||||
}
|
||||
|
||||
|
|
@ -514,8 +527,14 @@ where
|
|||
let lhs_elem = if lhs_scalar {
|
||||
lhs_val
|
||||
} else {
|
||||
let lhs =
|
||||
NDArrayValue::from_pointer_value(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) }
|
||||
|
|
@ -524,8 +543,14 @@ where
|
|||
let rhs_elem = if rhs_scalar {
|
||||
rhs_val
|
||||
} else {
|
||||
let rhs =
|
||||
NDArrayValue::from_pointer_value(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) }
|
||||
|
|
@ -671,7 +696,7 @@ 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);
|
||||
|
||||
|
|
@ -679,7 +704,9 @@ fn llvm_arraylike_get_ndims<'ctx, G: CodeGenerator + ?Sized>(
|
|||
BasicValueEnum::PointerValue(v)
|
||||
if NDArrayValue::is_representable(v, llvm_usize).is_ok() =>
|
||||
{
|
||||
NDArrayValue::from_pointer_value(v, llvm_usize, None).load_ndims(ctx)
|
||||
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_representable(v, llvm_usize).is_ok() => {
|
||||
|
|
@ -694,7 +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,
|
||||
|
|
@ -713,7 +739,7 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
|
|||
let stride = call_ndarray_calc_size(
|
||||
generator,
|
||||
ctx,
|
||||
&dst_arr.dim_sizes(),
|
||||
&dst_arr.shape(),
|
||||
(Some(llvm_usize.const_int(dim + 1, false)), None),
|
||||
);
|
||||
|
||||
|
|
@ -727,6 +753,20 @@ 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() };
|
||||
|
|
@ -741,7 +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,
|
||||
|
|
@ -760,7 +799,7 @@ fn ndarray_from_ndlist_impl<'ctx, G: CodeGenerator + ?Sized>(
|
|||
|
||||
_ => {
|
||||
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
|
||||
|
|
@ -816,7 +855,8 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|
|||
|
||||
// object is an NDArray instance - copy object unless copy=0 && ndmin < object.ndims
|
||||
if NDArrayValue::is_representable(object, llvm_usize).is_ok() {
|
||||
let object = NDArrayValue::from_pointer_value(object, llvm_usize, None);
|
||||
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,
|
||||
|
|
@ -878,7 +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,
|
||||
|
|
@ -892,6 +931,7 @@ fn call_ndarray_array_impl<'ctx, G: CodeGenerator + ?Sized>(
|
|||
|
||||
return Ok(NDArrayValue::from_pointer_value(
|
||||
ndarray.map(BasicValueEnum::into_pointer_value).unwrap(),
|
||||
llvm_elem_ty,
|
||||
llvm_usize,
|
||||
None,
|
||||
));
|
||||
|
|
@ -1026,7 +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,
|
||||
|
|
@ -1099,7 +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,
|
||||
|
|
@ -1108,14 +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 =
|
||||
|
|
@ -1133,13 +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),
|
||||
);
|
||||
|
||||
|
|
@ -1162,9 +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 {
|
||||
(
|
||||
|
|
@ -1176,7 +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,
|
||||
|
|
@ -1219,7 +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 {
|
||||
|
|
@ -1227,7 +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() {
|
||||
|
|
@ -1259,7 +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),
|
||||
|
|
@ -1277,8 +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(())
|
||||
|
|
@ -1293,7 +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,
|
||||
|
|
@ -1339,7 +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()
|
||||
|
|
@ -1376,8 +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
|
||||
|
|
@ -1390,8 +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),
|
||||
|
|
@ -1402,10 +1460,22 @@ where
|
|||
|
||||
let ndarray = res.unwrap_or_else(|| {
|
||||
if lhs_scalar && rhs_scalar {
|
||||
let lhs_val =
|
||||
NDArrayValue::from_pointer_value(lhs_val.into_pointer_value(), llvm_usize, None);
|
||||
let rhs_val =
|
||||
NDArrayValue::from_pointer_value(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);
|
||||
|
||||
|
|
@ -1421,8 +1491,14 @@ where
|
|||
)
|
||||
.unwrap()
|
||||
} else {
|
||||
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,
|
||||
);
|
||||
|
|
@ -1434,7 +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()
|
||||
|
|
@ -1495,10 +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),
|
||||
|
|
@ -1506,10 +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),
|
||||
|
|
@ -1558,15 +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]
|
||||
|
|
@ -1605,7 +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(),
|
||||
|
|
@ -1615,7 +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),
|
||||
|
|
@ -1642,7 +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),
|
||||
|
|
@ -1650,7 +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);
|
||||
|
|
@ -1981,11 +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_pointer_value(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)
|
||||
}
|
||||
|
|
@ -2004,6 +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()
|
||||
|
|
@ -2014,10 +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_pointer_value(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();
|
||||
|
|
@ -2058,8 +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_pointer_value(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(
|
||||
|
|
@ -2074,7 +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();
|
||||
|
|
@ -2111,7 +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 =
|
||||
|
|
@ -2177,8 +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_pointer_value(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)?;
|
||||
|
|
@ -2406,7 +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(),
|
||||
|
|
@ -2454,17 +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_pointer_value(n1, llvm_usize, None);
|
||||
let n2 = NDArrayValue::from_pointer_value(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,
|
||||
|
|
@ -2501,7 +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 {
|
||||
|
|
@ -2515,7 +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();
|
||||
|
||||
|
|
|
|||
|
|
@ -55,6 +55,19 @@ impl<'ctx> ListType<'ctx> {
|
|||
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>(
|
||||
|
|
@ -63,12 +76,7 @@ impl<'ctx> ListType<'ctx> {
|
|||
element_type: BasicTypeEnum<'ctx>,
|
||||
) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_list = ctx
|
||||
.struct_type(
|
||||
&[element_type.ptr_type(AddressSpace::default()).into(), llvm_usize.into()],
|
||||
false,
|
||||
)
|
||||
.ptr_type(AddressSpace::default());
|
||||
let llvm_list = Self::llvm_type(ctx, element_type, llvm_usize);
|
||||
|
||||
ListType::from_type(llvm_list, llvm_usize)
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,11 +1,14 @@
|
|||
use inkwell::{
|
||||
context::Context,
|
||||
types::{AnyTypeEnum, BasicType, BasicTypeEnum, IntType, PointerType},
|
||||
values::IntValue,
|
||||
values::{IntValue, PointerValue},
|
||||
AddressSpace,
|
||||
};
|
||||
|
||||
use super::ProxyType;
|
||||
use nac3core_derive::StructFields;
|
||||
use super::{
|
||||
structure::StructField,
|
||||
ProxyType,
|
||||
};
|
||||
use crate::codegen::{
|
||||
values::{ArraySliceValue, NDArrayValue, ProxyValue},
|
||||
{CodeGenContext, CodeGenerator},
|
||||
|
|
@ -15,9 +18,20 @@ use crate::codegen::{
|
|||
#[derive(Debug, PartialEq, Eq, Clone, Copy)]
|
||||
pub struct NDArrayType<'ctx> {
|
||||
ty: PointerType<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
}
|
||||
|
||||
#[derive(PartialEq, Eq, Clone, Copy, StructFields)]
|
||||
pub struct NDArrayStructFields<'ctx> {
|
||||
#[value_type(usize)]
|
||||
pub ndims: StructField<'ctx, IntValue<'ctx>>,
|
||||
#[value_type(usize.ptr_type(AddressSpace::default()))]
|
||||
pub shape: StructField<'ctx, PointerValue<'ctx>>,
|
||||
#[value_type(i8_type().ptr_type(AddressSpace::default()))]
|
||||
pub data: StructField<'ctx, PointerValue<'ctx>>,
|
||||
}
|
||||
|
||||
impl<'ctx> NDArrayType<'ctx> {
|
||||
/// Checks whether `llvm_ty` represents a `ndarray` type, returning [Err] if it does not.
|
||||
pub fn is_representable(
|
||||
|
|
@ -66,14 +80,58 @@ impl<'ctx> NDArrayType<'ctx> {
|
|||
}
|
||||
|
||||
let ndarray_data_ty = llvm_ndarray_ty.get_field_type_at_index(2).unwrap();
|
||||
let Ok(_) = PointerType::try_from(ndarray_data_ty) else {
|
||||
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(())
|
||||
}
|
||||
|
||||
/// Creates an instance of [`ListType`].
|
||||
// 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,
|
||||
|
|
@ -81,32 +139,21 @@ impl<'ctx> NDArrayType<'ctx> {
|
|||
dtype: BasicTypeEnum<'ctx>,
|
||||
) -> Self {
|
||||
let llvm_usize = generator.get_size_type(ctx);
|
||||
let llvm_ndarray = Self::llvm_type(ctx, llvm_usize);
|
||||
|
||||
// struct NDArray { num_dims: size_t, dims: size_t*, data: T* }
|
||||
//
|
||||
// * num_dims: Number of dimensions in the array
|
||||
// * dims: Pointer to an array containing the size of each dimension
|
||||
// * data: Pointer to an array containing the array data
|
||||
let llvm_ndarray = ctx
|
||||
.struct_type(
|
||||
&[
|
||||
llvm_usize.into(),
|
||||
llvm_usize.ptr_type(AddressSpace::default()).into(),
|
||||
dtype.ptr_type(AddressSpace::default()).into(),
|
||||
],
|
||||
false,
|
||||
)
|
||||
.ptr_type(AddressSpace::default());
|
||||
|
||||
NDArrayType::from_type(llvm_ndarray, llvm_usize)
|
||||
NDArrayType { ty: llvm_ndarray, dtype, llvm_usize }
|
||||
}
|
||||
|
||||
/// Creates an [`NDArrayType`] from a [`PointerType`].
|
||||
/// Creates an [`NDArrayType`] from a [`PointerType`] representing an `NDArray`.
|
||||
#[must_use]
|
||||
pub fn from_type(ptr_ty: PointerType<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
|
||||
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, llvm_usize }
|
||||
NDArrayType { ty: ptr_ty, dtype, llvm_usize }
|
||||
}
|
||||
|
||||
/// Returns the type of the `size` field of this `ndarray` type.
|
||||
|
|
@ -122,14 +169,8 @@ impl<'ctx> NDArrayType<'ctx> {
|
|||
|
||||
/// Returns the element type of this `ndarray` 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(2)
|
||||
.map(BasicTypeEnum::into_pointer_type)
|
||||
.map(PointerType::get_element_type)
|
||||
.unwrap()
|
||||
pub fn element_type(&self) -> BasicTypeEnum<'ctx> {
|
||||
self.dtype
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -199,7 +240,7 @@ impl<'ctx> ProxyType<'ctx> for NDArrayType<'ctx> {
|
|||
) -> Self::Value {
|
||||
debug_assert_eq!(value.get_type(), self.as_base_type());
|
||||
|
||||
NDArrayValue::from_pointer_value(value, self.llvm_usize, name)
|
||||
NDArrayValue::from_pointer_value(value, self.dtype, self.llvm_usize, name)
|
||||
}
|
||||
|
||||
fn as_base_type(&self) -> Self::Base {
|
||||
|
|
|
|||
|
|
@ -47,11 +47,18 @@ impl<'ctx> RangeType<'ctx> {
|
|||
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_i32 = ctx.i32_type();
|
||||
let llvm_range = llvm_i32.array_type(3).ptr_type(AddressSpace::default());
|
||||
let llvm_range = Self::llvm_type(ctx);
|
||||
|
||||
RangeType::from_type(llvm_range)
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,7 @@
|
|||
use inkwell::{
|
||||
types::{AnyTypeEnum, BasicTypeEnum, IntType},
|
||||
types::{AnyType, AnyTypeEnum, BasicType, BasicTypeEnum, IntType},
|
||||
values::{BasicValueEnum, IntValue, PointerValue},
|
||||
IntPredicate,
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
|
||||
use super::{
|
||||
|
|
@ -20,6 +20,7 @@ use crate::codegen::{
|
|||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayValue<'ctx> {
|
||||
value: PointerValue<'ctx>,
|
||||
dtype: BasicTypeEnum<'ctx>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
name: Option<&'ctx str>,
|
||||
}
|
||||
|
|
@ -38,28 +39,21 @@ impl<'ctx> NDArrayValue<'ctx> {
|
|||
#[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, llvm_usize, name }
|
||||
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> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let var_name = self.name.map(|v| format!("{v}.ndims.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()
|
||||
}
|
||||
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.
|
||||
|
|
@ -81,63 +75,51 @@ impl<'ctx> NDArrayValue<'ctx> {
|
|||
ctx.builder.build_load(pndims, "").map(BasicValueEnum::into_int_value).unwrap()
|
||||
}
|
||||
|
||||
/// Returns the double-indirection pointer to the `dims` array, as if by calling `getelementptr`
|
||||
/// on the field.
|
||||
fn ptr_to_dims(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let var_name = self.name.map(|v| format!("{v}.dims.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()
|
||||
}
|
||||
/// 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_dim_sizes(&self, ctx: &CodeGenContext<'ctx, '_>, dims: PointerValue<'ctx>) {
|
||||
ctx.builder.build_store(self.ptr_to_dims(ctx), dims).unwrap();
|
||||
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_dim_sizes(
|
||||
pub fn create_shape(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
llvm_usize: IntType<'ctx>,
|
||||
size: IntValue<'ctx>,
|
||||
) {
|
||||
self.store_dim_sizes(ctx, ctx.builder.build_array_alloca(llvm_usize, size, "").unwrap());
|
||||
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 dim_sizes(&self) -> NDArrayDimsProxy<'ctx, '_> {
|
||||
NDArrayDimsProxy(self)
|
||||
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> {
|
||||
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_int(2, true)],
|
||||
var_name.as_str(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
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();
|
||||
}
|
||||
|
||||
|
|
@ -149,7 +131,15 @@ impl<'ctx> NDArrayValue<'ctx> {
|
|||
elem_ty: BasicTypeEnum<'ctx>,
|
||||
size: IntValue<'ctx>,
|
||||
) {
|
||||
self.store_data(ctx, ctx.builder.build_array_alloca(elem_ty, size, "").unwrap());
|
||||
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`.
|
||||
|
|
@ -164,7 +154,7 @@ impl<'ctx> ProxyValue<'ctx> for NDArrayValue<'ctx> {
|
|||
type Type = NDArrayType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
NDArrayType::from_type(self.as_base_value().get_type(), self.llvm_usize)
|
||||
NDArrayType::from_type(self.as_base_value().get_type(), self.dtype, self.llvm_usize)
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
|
|
@ -180,15 +170,15 @@ impl<'ctx> From<NDArrayValue<'ctx>> for PointerValue<'ctx> {
|
|||
|
||||
/// Proxy type for accessing the `dims` array of an `NDArray` instance in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayDimsProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
|
||||
pub struct NDArrayShapeProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
|
||||
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDimsProxy<'ctx, '_> {
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayShapeProxy<'ctx, '_> {
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.0.dim_sizes().base_ptr(ctx, generator).get_type().get_element_type()
|
||||
self.0.shape().base_ptr(ctx, generator).get_type().get_element_type()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
|
|
@ -199,7 +189,7 @@ impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDimsProxy<'ctx, '_> {
|
|||
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(self.0.ptr_to_dims(ctx), var_name.as_str())
|
||||
.build_load(self.0.ptr_to_shape(ctx), var_name.as_str())
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
|
@ -213,7 +203,7 @@ impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDimsProxy<'ctx, '_> {
|
|||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
|
|
@ -252,10 +242,10 @@ impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_>
|
|||
}
|
||||
}
|
||||
|
||||
impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {}
|
||||
impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {}
|
||||
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 NDArrayDimsProxy<'ctx, '_> {
|
||||
impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
|
||||
fn downcast_to_type(
|
||||
&self,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
|
|
@ -265,7 +255,7 @@ impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ct
|
|||
}
|
||||
}
|
||||
|
||||
impl<'ctx> TypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {
|
||||
impl<'ctx> TypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayShapeProxy<'ctx, '_> {
|
||||
fn upcast_from_type(
|
||||
&self,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
|
|
@ -282,10 +272,10 @@ pub struct NDArrayDataProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
|
|||
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDataProxy<'ctx, '_> {
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
_: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.0.data().base_ptr(ctx, generator).get_type().get_element_type()
|
||||
self.0.dtype.as_any_type_enum()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
|
|
@ -318,15 +308,34 @@ impl<'ctx> ArrayLikeIndexer<'ctx> for NDArrayDataProxy<'ctx, '_> {
|
|||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
unsafe {
|
||||
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],
|
||||
&[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>(
|
||||
|
|
@ -347,7 +356,17 @@ impl<'ctx> ArrayLikeIndexer<'ctx> for NDArrayDataProxy<'ctx, '_> {
|
|||
ctx.current_loc,
|
||||
);
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
|
||||
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()
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -381,8 +400,17 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
|
|||
);
|
||||
|
||||
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();
|
||||
|
||||
unsafe {
|
||||
let ptr = unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.base_ptr(ctx, generator),
|
||||
|
|
@ -390,7 +418,17 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, 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>(
|
||||
|
|
@ -429,7 +467,7 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
|
|||
let (dim_idx, dim_sz) = unsafe {
|
||||
(
|
||||
indices.get_unchecked(ctx, generator, &i, None).into_int_value(),
|
||||
self.0.dim_sizes().get_typed_unchecked(ctx, generator, &i, None),
|
||||
self.0.shape().get_typed_unchecked(ctx, generator, &i, None),
|
||||
)
|
||||
};
|
||||
let dim_idx = ctx
|
||||
|
|
@ -455,7 +493,17 @@ impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
|
|||
)
|
||||
.unwrap();
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, indices, name) }
|
||||
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()
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -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)
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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()
|
||||
|
|
|
|||
Loading…
Reference in New Issue