forked from M-Labs/nac3
core: remove old ndarray code and NDArray proxy
Nothing depends on the old ndarray implementation now.
This commit is contained in:
parent
e652919b8e
commit
be4b04dbb3
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@ -3,8 +3,6 @@
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#include <irrt/int_types.hpp>
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#include <irrt/math_util.hpp>
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// NDArray indices are always `uint32_t`.
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using NDIndexInt = uint32_t;
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// The type of an index or a value describing the length of a range/slice is always `int32_t`.
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using SliceIndex = int32_t;
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@ -27,103 +25,6 @@ template <typename T> T __nac3_int_exp_impl(T base, T exp)
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} while (exp);
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return res;
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}
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template <typename SizeT>
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SizeT __nac3_ndarray_calc_size_impl(const SizeT *list_data, SizeT list_len, SizeT begin_idx, SizeT end_idx)
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{
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__builtin_assume(end_idx <= list_len);
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SizeT num_elems = 1;
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for (SizeT i = begin_idx; i < end_idx; ++i)
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{
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SizeT val = list_data[i];
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__builtin_assume(val > 0);
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num_elems *= val;
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}
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return num_elems;
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}
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template <typename SizeT>
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void __nac3_ndarray_calc_nd_indices_impl(SizeT index, const SizeT *dims, SizeT num_dims, NDIndexInt *idxs)
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{
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SizeT stride = 1;
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for (SizeT dim = 0; dim < num_dims; dim++)
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{
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SizeT i = num_dims - dim - 1;
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__builtin_assume(dims[i] > 0);
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idxs[i] = (index / stride) % dims[i];
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stride *= dims[i];
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}
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}
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template <typename SizeT>
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SizeT __nac3_ndarray_flatten_index_impl(const SizeT *dims, SizeT num_dims, const NDIndexInt *indices, SizeT num_indices)
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{
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SizeT idx = 0;
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SizeT stride = 1;
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for (SizeT i = 0; i < num_dims; ++i)
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{
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SizeT ri = num_dims - i - 1;
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if (ri < num_indices)
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{
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idx += stride * indices[ri];
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}
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__builtin_assume(dims[i] > 0);
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stride *= dims[ri];
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}
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return idx;
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}
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template <typename SizeT>
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void __nac3_ndarray_calc_broadcast_impl(const SizeT *lhs_dims, SizeT lhs_ndims, const SizeT *rhs_dims, SizeT rhs_ndims,
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SizeT *out_dims)
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{
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SizeT max_ndims = lhs_ndims > rhs_ndims ? lhs_ndims : rhs_ndims;
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for (SizeT i = 0; i < max_ndims; ++i)
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{
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const SizeT *lhs_dim_sz = i < lhs_ndims ? &lhs_dims[lhs_ndims - i - 1] : nullptr;
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const SizeT *rhs_dim_sz = i < rhs_ndims ? &rhs_dims[rhs_ndims - i - 1] : nullptr;
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SizeT *out_dim = &out_dims[max_ndims - i - 1];
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if (lhs_dim_sz == nullptr)
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{
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*out_dim = *rhs_dim_sz;
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}
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else if (rhs_dim_sz == nullptr)
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{
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*out_dim = *lhs_dim_sz;
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}
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else if (*lhs_dim_sz == 1)
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{
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*out_dim = *rhs_dim_sz;
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}
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else if (*rhs_dim_sz == 1)
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{
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*out_dim = *lhs_dim_sz;
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}
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else if (*lhs_dim_sz == *rhs_dim_sz)
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{
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*out_dim = *lhs_dim_sz;
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}
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else
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{
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__builtin_unreachable();
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}
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}
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}
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template <typename SizeT>
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void __nac3_ndarray_calc_broadcast_idx_impl(const SizeT *src_dims, SizeT src_ndims, const NDIndexInt *in_idx,
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NDIndexInt *out_idx)
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{
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for (SizeT i = 0; i < src_ndims; ++i)
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{
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SizeT src_i = src_ndims - i - 1;
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out_idx[src_i] = src_dims[src_i] == 1 ? 0 : in_idx[src_i];
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}
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}
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} // namespace
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extern "C"
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@ -311,62 +212,4 @@ extern "C"
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return j0(x);
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}
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uint32_t __nac3_ndarray_calc_size(const uint32_t *list_data, uint32_t list_len, uint32_t begin_idx,
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uint32_t end_idx)
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{
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return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
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}
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uint64_t __nac3_ndarray_calc_size64(const uint64_t *list_data, uint64_t list_len, uint64_t begin_idx,
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uint64_t end_idx)
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{
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return __nac3_ndarray_calc_size_impl(list_data, list_len, begin_idx, end_idx);
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}
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void __nac3_ndarray_calc_nd_indices(uint32_t index, const uint32_t *dims, uint32_t num_dims, NDIndexInt *idxs)
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{
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__nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
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}
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void __nac3_ndarray_calc_nd_indices64(uint64_t index, const uint64_t *dims, uint64_t num_dims, NDIndexInt *idxs)
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{
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__nac3_ndarray_calc_nd_indices_impl(index, dims, num_dims, idxs);
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}
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uint32_t __nac3_ndarray_flatten_index(const uint32_t *dims, uint32_t num_dims, const NDIndexInt *indices,
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uint32_t num_indices)
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{
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return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
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}
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uint64_t __nac3_ndarray_flatten_index64(const uint64_t *dims, uint64_t num_dims, const NDIndexInt *indices,
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uint64_t num_indices)
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{
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return __nac3_ndarray_flatten_index_impl(dims, num_dims, indices, num_indices);
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}
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void __nac3_ndarray_calc_broadcast(const uint32_t *lhs_dims, uint32_t lhs_ndims, const uint32_t *rhs_dims,
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uint32_t rhs_ndims, uint32_t *out_dims)
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{
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return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
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}
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void __nac3_ndarray_calc_broadcast64(const uint64_t *lhs_dims, uint64_t lhs_ndims, const uint64_t *rhs_dims,
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uint64_t rhs_ndims, uint64_t *out_dims)
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{
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return __nac3_ndarray_calc_broadcast_impl(lhs_dims, lhs_ndims, rhs_dims, rhs_ndims, out_dims);
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}
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void __nac3_ndarray_calc_broadcast_idx(const uint32_t *src_dims, uint32_t src_ndims, const NDIndexInt *in_idx,
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NDIndexInt *out_idx)
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{
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__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
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}
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void __nac3_ndarray_calc_broadcast_idx64(const uint64_t *src_dims, uint64_t src_ndims, const NDIndexInt *in_idx,
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NDIndexInt *out_idx)
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{
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__nac3_ndarray_calc_broadcast_idx_impl(src_dims, src_ndims, in_idx, out_idx);
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}
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} // extern "C"
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@ -1,9 +1,4 @@
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use crate::codegen::{
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irrt::{call_ndarray_calc_size, call_ndarray_flatten_index},
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llvm_intrinsics::call_int_umin,
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stmt::gen_for_callback_incrementing,
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CodeGenContext, CodeGenerator,
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};
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use crate::codegen::{CodeGenContext, CodeGenerator};
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use inkwell::context::Context;
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use inkwell::types::{ArrayType, BasicType, StructType};
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use inkwell::values::{ArrayValue, BasicValue, StructValue};
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@ -1141,624 +1136,3 @@ impl<'ctx> From<RangeValue<'ctx>> for PointerValue<'ctx> {
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value.as_base_value()
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}
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}
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/// Proxy type for a `ndarray` type in LLVM.
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#[derive(Debug, PartialEq, Eq, Clone, Copy)]
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pub struct NDArrayType<'ctx> {
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ty: PointerType<'ctx>,
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llvm_usize: IntType<'ctx>,
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}
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impl<'ctx> NDArrayType<'ctx> {
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/// Checks whether `llvm_ty` represents a `ndarray` type, returning [Err] if it does not.
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pub fn is_type(llvm_ty: PointerType<'ctx>, llvm_usize: IntType<'ctx>) -> Result<(), String> {
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let llvm_ndarray_ty = llvm_ty.get_element_type();
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let AnyTypeEnum::StructType(llvm_ndarray_ty) = llvm_ndarray_ty else {
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return Err(format!("Expected struct type for `NDArray` type, got {llvm_ndarray_ty}"));
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};
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if llvm_ndarray_ty.count_fields() != 3 {
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return Err(format!(
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"Expected 3 fields in `NDArray`, got {}",
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llvm_ndarray_ty.count_fields()
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));
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}
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let ndarray_ndims_ty = llvm_ndarray_ty.get_field_type_at_index(0).unwrap();
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let Ok(ndarray_ndims_ty) = IntType::try_from(ndarray_ndims_ty) else {
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return Err(format!("Expected int type for `ndarray.0`, got {ndarray_ndims_ty}"));
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};
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if ndarray_ndims_ty.get_bit_width() != llvm_usize.get_bit_width() {
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return Err(format!(
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"Expected {}-bit int type for `ndarray.0`, got {}-bit int",
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llvm_usize.get_bit_width(),
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ndarray_ndims_ty.get_bit_width()
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));
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}
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let ndarray_dims_ty = llvm_ndarray_ty.get_field_type_at_index(1).unwrap();
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let Ok(ndarray_pdims) = PointerType::try_from(ndarray_dims_ty) else {
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return Err(format!("Expected pointer type for `ndarray.1`, got {ndarray_dims_ty}"));
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};
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let ndarray_dims = ndarray_pdims.get_element_type();
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let Ok(ndarray_dims) = IntType::try_from(ndarray_dims) else {
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return Err(format!(
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"Expected pointer-to-int type for `ndarray.1`, got pointer-to-{ndarray_dims}"
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));
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};
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if ndarray_dims.get_bit_width() != llvm_usize.get_bit_width() {
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return Err(format!(
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"Expected pointer-to-{}-bit int type for `ndarray.1`, got pointer-to-{}-bit int",
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llvm_usize.get_bit_width(),
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ndarray_dims.get_bit_width()
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));
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}
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let ndarray_data_ty = llvm_ndarray_ty.get_field_type_at_index(2).unwrap();
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let Ok(_) = PointerType::try_from(ndarray_data_ty) else {
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return Err(format!("Expected pointer type for `ndarray.2`, got {ndarray_data_ty}"));
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};
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Ok(())
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}
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/// Creates an instance of [`ListType`].
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#[must_use]
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pub fn new<G: CodeGenerator + ?Sized>(
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generator: &G,
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ctx: &'ctx Context,
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dtype: BasicTypeEnum<'ctx>,
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) -> Self {
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let llvm_usize = generator.get_size_type(ctx);
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// struct NDArray { num_dims: size_t, dims: size_t*, data: T* }
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//
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// * num_dims: Number of dimensions in the array
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// * dims: Pointer to an array containing the size of each dimension
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// * data: Pointer to an array containing the array data
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let llvm_ndarray = ctx
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.struct_type(
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&[
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llvm_usize.into(),
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llvm_usize.ptr_type(AddressSpace::default()).into(),
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dtype.ptr_type(AddressSpace::default()).into(),
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],
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false,
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)
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.ptr_type(AddressSpace::default());
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NDArrayType::from_type(llvm_ndarray, llvm_usize)
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}
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/// Creates an [`NDArrayType`] from a [`PointerType`].
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#[must_use]
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pub fn from_type(ptr_ty: PointerType<'ctx>, llvm_usize: IntType<'ctx>) -> Self {
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debug_assert!(Self::is_type(ptr_ty, llvm_usize).is_ok());
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NDArrayType { ty: ptr_ty, llvm_usize }
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}
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/// Returns the type of the `size` field of this `ndarray` type.
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#[must_use]
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pub fn size_type(&self) -> IntType<'ctx> {
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self.as_base_type()
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.get_element_type()
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.into_struct_type()
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.get_field_type_at_index(0)
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.map(BasicTypeEnum::into_int_type)
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.unwrap()
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}
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/// Returns the element type of this `ndarray` type.
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#[must_use]
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pub fn element_type(&self) -> BasicTypeEnum<'ctx> {
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self.as_base_type()
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.get_element_type()
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.into_struct_type()
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.get_field_type_at_index(2)
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.unwrap()
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}
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}
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impl<'ctx> ProxyType<'ctx> for NDArrayType<'ctx> {
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type Base = PointerType<'ctx>;
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type Underlying = StructType<'ctx>;
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type Value = NDArrayValue<'ctx>;
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fn new_value<G: CodeGenerator + ?Sized>(
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&self,
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generator: &mut G,
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ctx: &mut CodeGenContext<'ctx, '_>,
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name: Option<&'ctx str>,
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) -> Self::Value {
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self.create_value(
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generator.gen_var_alloc(ctx, self.as_underlying_type().into(), name).unwrap(),
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name,
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)
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}
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fn create_value(
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&self,
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value: <Self::Value as ProxyValue<'ctx>>::Base,
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name: Option<&'ctx str>,
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) -> Self::Value {
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debug_assert_eq!(value.get_type(), self.as_base_type());
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NDArrayValue { value, llvm_usize: self.llvm_usize, name }
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}
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fn as_base_type(&self) -> Self::Base {
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self.ty
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}
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fn as_underlying_type(&self) -> Self::Underlying {
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self.as_base_type().get_element_type().into_struct_type()
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}
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}
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impl<'ctx> From<NDArrayType<'ctx>> for PointerType<'ctx> {
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fn from(value: NDArrayType<'ctx>) -> Self {
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value.as_base_type()
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}
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}
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/// Proxy type for accessing an `NDArray` value in LLVM.
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#[derive(Copy, Clone)]
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pub struct NDArrayValue<'ctx> {
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value: PointerValue<'ctx>,
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llvm_usize: IntType<'ctx>,
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name: Option<&'ctx str>,
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}
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impl<'ctx> NDArrayValue<'ctx> {
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/// Checks whether `value` is an instance of `NDArray`, returning [Err] if `value` is not an
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/// instance.
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pub fn is_instance(value: PointerValue<'ctx>, llvm_usize: IntType<'ctx>) -> Result<(), String> {
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NDArrayType::is_type(value.get_type(), llvm_usize)
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}
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/// Creates an [`NDArrayValue`] from a [`PointerValue`].
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#[must_use]
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pub fn from_ptr_val(
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ptr: PointerValue<'ctx>,
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llvm_usize: IntType<'ctx>,
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name: Option<&'ctx str>,
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) -> Self {
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debug_assert!(Self::is_instance(ptr, llvm_usize).is_ok());
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<Self as ProxyValue<'ctx>>::Type::from_type(ptr.get_type(), llvm_usize)
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.create_value(ptr, name)
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}
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/// Returns the pointer to the field storing the number of dimensions of this `NDArray`.
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fn ptr_to_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
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let llvm_i32 = ctx.ctx.i32_type();
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let var_name = self.name.map(|v| format!("{v}.ndims.addr")).unwrap_or_default();
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unsafe {
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ctx.builder
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.build_in_bounds_gep(
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self.as_base_value(),
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&[llvm_i32.const_zero(), llvm_i32.const_zero()],
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var_name.as_str(),
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)
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.unwrap()
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}
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}
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/// Stores the number of dimensions `ndims` into this instance.
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pub fn store_ndims<G: CodeGenerator + ?Sized>(
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&self,
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ctx: &CodeGenContext<'ctx, '_>,
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generator: &G,
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ndims: IntValue<'ctx>,
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) {
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debug_assert_eq!(ndims.get_type(), generator.get_size_type(ctx.ctx));
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let pndims = self.ptr_to_ndims(ctx);
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ctx.builder.build_store(pndims, ndims).unwrap();
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}
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/// Returns the number of dimensions of this `NDArray` as a value.
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pub fn load_ndims(&self, ctx: &CodeGenContext<'ctx, '_>) -> IntValue<'ctx> {
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let pndims = self.ptr_to_ndims(ctx);
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ctx.builder.build_load(pndims, "").map(BasicValueEnum::into_int_value).unwrap()
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}
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/// Returns the double-indirection pointer to the `dims` array, as if by calling `getelementptr`
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/// on the field.
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fn ptr_to_dims(&self, ctx: &CodeGenContext<'ctx, '_>) -> PointerValue<'ctx> {
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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()
|
||||
}
|
||||
}
|
||||
|
||||
/// 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();
|
||||
}
|
||||
|
||||
/// Convenience method for creating a new array storing dimension sizes with the given `size`.
|
||||
pub fn create_dim_sizes(
|
||||
&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());
|
||||
}
|
||||
|
||||
/// 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)
|
||||
}
|
||||
|
||||
/// Returns the double-indirection pointer to the `data` array, as if by calling `getelementptr`
|
||||
/// on the field.
|
||||
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()
|
||||
}
|
||||
}
|
||||
|
||||
/// Stores the array of data elements `data` into this instance.
|
||||
fn store_data(&self, ctx: &CodeGenContext<'ctx, '_>, data: PointerValue<'ctx>) {
|
||||
ctx.builder.build_store(self.ptr_to_data(ctx), data).unwrap();
|
||||
}
|
||||
|
||||
/// Convenience method for creating a new array storing data elements with the given element
|
||||
/// type `elem_ty` and `size`.
|
||||
pub fn create_data(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
elem_ty: BasicTypeEnum<'ctx>,
|
||||
size: IntValue<'ctx>,
|
||||
) {
|
||||
self.store_data(ctx, ctx.builder.build_array_alloca(elem_ty, size, "").unwrap());
|
||||
}
|
||||
|
||||
/// Returns a proxy object to the field storing the data of this `NDArray`.
|
||||
#[must_use]
|
||||
pub fn data(&self) -> NDArrayDataProxy<'ctx, '_> {
|
||||
NDArrayDataProxy(self)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ProxyValue<'ctx> for NDArrayValue<'ctx> {
|
||||
type Base = PointerValue<'ctx>;
|
||||
type Underlying = StructValue<'ctx>;
|
||||
type Type = NDArrayType<'ctx>;
|
||||
|
||||
fn get_type(&self) -> Self::Type {
|
||||
NDArrayType::from_type(self.as_base_value().get_type(), self.llvm_usize)
|
||||
}
|
||||
|
||||
fn as_base_value(&self) -> Self::Base {
|
||||
self.value
|
||||
}
|
||||
|
||||
fn as_underlying_value(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
name: Option<&'ctx str>,
|
||||
) -> Self::Underlying {
|
||||
ctx.builder
|
||||
.build_load(self.as_base_value(), name.unwrap_or_default())
|
||||
.map(BasicValueEnum::into_struct_value)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> From<NDArrayValue<'ctx>> for PointerValue<'ctx> {
|
||||
fn from(value: NDArrayValue<'ctx>) -> Self {
|
||||
value.as_base_value()
|
||||
}
|
||||
}
|
||||
|
||||
/// Proxy type for accessing the `dims` array of an `NDArray` instance in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayDimsProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
|
||||
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDimsProxy<'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()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> PointerValue<'ctx> {
|
||||
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(self.0.ptr_to_dims(ctx), var_name.as_str())
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
self.0.load_ndims(ctx)
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let var_name = name.map(|v| format!("{v}.addr")).unwrap_or_default();
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(self.base_ptr(ctx, generator), &[*idx], var_name.as_str())
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let size = self.size(ctx, generator);
|
||||
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, size, "").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
in_range,
|
||||
"0:IndexError",
|
||||
"index {0} is out of bounds for axis 0 with size {1}",
|
||||
[Some(*idx), Some(self.0.load_ndims(ctx)), None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {}
|
||||
impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {}
|
||||
|
||||
impl<'ctx> TypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {
|
||||
fn downcast_to_type(
|
||||
&self,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
value: BasicValueEnum<'ctx>,
|
||||
) -> IntValue<'ctx> {
|
||||
value.into_int_value()
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> TypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDimsProxy<'ctx, '_> {
|
||||
fn upcast_from_type(
|
||||
&self,
|
||||
_: &mut CodeGenContext<'ctx, '_>,
|
||||
value: IntValue<'ctx>,
|
||||
) -> BasicValueEnum<'ctx> {
|
||||
value.into()
|
||||
}
|
||||
}
|
||||
|
||||
/// Proxy type for accessing the `data` array of an `NDArray` instance in LLVM.
|
||||
#[derive(Copy, Clone)]
|
||||
pub struct NDArrayDataProxy<'ctx, 'a>(&'a NDArrayValue<'ctx>);
|
||||
|
||||
impl<'ctx> ArrayLikeValue<'ctx> for NDArrayDataProxy<'ctx, '_> {
|
||||
fn element_type<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> AnyTypeEnum<'ctx> {
|
||||
self.0.data().base_ptr(ctx, generator).get_type().get_element_type()
|
||||
}
|
||||
|
||||
fn base_ptr<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
_: &G,
|
||||
) -> PointerValue<'ctx> {
|
||||
let var_name = self.0.name.map(|v| format!("{v}.data")).unwrap_or_default();
|
||||
|
||||
ctx.builder
|
||||
.build_load(self.0.ptr_to_data(ctx), var_name.as_str())
|
||||
.map(BasicValueEnum::into_pointer_value)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
fn size<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
generator: &G,
|
||||
) -> IntValue<'ctx> {
|
||||
call_ndarray_calc_size(generator, ctx, &self.as_slice_value(ctx, generator), (None, None))
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> ArrayLikeIndexer<'ctx> for NDArrayDataProxy<'ctx, '_> {
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.base_ptr(ctx, generator),
|
||||
&[*idx],
|
||||
name.unwrap_or_default(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
idx: &IntValue<'ctx>,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let data_sz = self.size(ctx, generator);
|
||||
let in_range = ctx.builder.build_int_compare(IntPredicate::ULT, *idx, data_sz, "").unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
in_range,
|
||||
"0:IndexError",
|
||||
"index {0} is out of bounds with size {1}",
|
||||
[Some(*idx), Some(self.0.load_ndims(ctx)), None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, idx, name) }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx> UntypedArrayLikeAccessor<'ctx, IntValue<'ctx>> for NDArrayDataProxy<'ctx, '_> {}
|
||||
impl<'ctx> UntypedArrayLikeMutator<'ctx, IntValue<'ctx>> for NDArrayDataProxy<'ctx, '_> {}
|
||||
|
||||
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> ArrayLikeIndexer<'ctx, Index>
|
||||
for NDArrayDataProxy<'ctx, '_>
|
||||
{
|
||||
unsafe fn ptr_offset_unchecked<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
indices: &Index,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let indices_elem_ty = indices
|
||||
.ptr_offset(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
.get_type()
|
||||
.get_element_type();
|
||||
let Ok(indices_elem_ty) = IntType::try_from(indices_elem_ty) else {
|
||||
panic!("Expected list[int32] but got {indices_elem_ty}")
|
||||
};
|
||||
assert_eq!(
|
||||
indices_elem_ty.get_bit_width(),
|
||||
32,
|
||||
"Expected list[int32] but got list[int{}]",
|
||||
indices_elem_ty.get_bit_width()
|
||||
);
|
||||
|
||||
let index = call_ndarray_flatten_index(generator, ctx, *self.0, indices);
|
||||
|
||||
unsafe {
|
||||
ctx.builder
|
||||
.build_in_bounds_gep(
|
||||
self.base_ptr(ctx, generator),
|
||||
&[index],
|
||||
name.unwrap_or_default(),
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
}
|
||||
|
||||
fn ptr_offset<G: CodeGenerator + ?Sized>(
|
||||
&self,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
generator: &mut G,
|
||||
indices: &Index,
|
||||
name: Option<&str>,
|
||||
) -> PointerValue<'ctx> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let indices_size = indices.size(ctx, generator);
|
||||
let nidx_leq_ndims = ctx
|
||||
.builder
|
||||
.build_int_compare(IntPredicate::SLE, indices_size, self.0.load_ndims(ctx), "")
|
||||
.unwrap();
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
nidx_leq_ndims,
|
||||
"0:IndexError",
|
||||
"invalid index to scalar variable",
|
||||
[None, None, None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
let indices_len = indices.size(ctx, generator);
|
||||
let ndarray_len = self.0.load_ndims(ctx);
|
||||
let len = call_int_umin(ctx, indices_len, ndarray_len, None);
|
||||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
None,
|
||||
llvm_usize.const_zero(),
|
||||
(len, false),
|
||||
|generator, ctx, _, i| {
|
||||
let (dim_idx, dim_sz) = unsafe {
|
||||
(
|
||||
indices.get_unchecked(ctx, generator, &i, None).into_int_value(),
|
||||
self.0.dim_sizes().get_typed_unchecked(ctx, generator, &i, None),
|
||||
)
|
||||
};
|
||||
let dim_idx = ctx
|
||||
.builder
|
||||
.build_int_z_extend_or_bit_cast(dim_idx, dim_sz.get_type(), "")
|
||||
.unwrap();
|
||||
|
||||
let dim_lt =
|
||||
ctx.builder.build_int_compare(IntPredicate::SLT, dim_idx, dim_sz, "").unwrap();
|
||||
|
||||
ctx.make_assert(
|
||||
generator,
|
||||
dim_lt,
|
||||
"0:IndexError",
|
||||
"index {0} is out of bounds for axis 0 with size {1}",
|
||||
[Some(dim_idx), Some(dim_sz), None],
|
||||
ctx.current_loc,
|
||||
);
|
||||
|
||||
Ok(())
|
||||
},
|
||||
llvm_usize.const_int(1, false),
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
unsafe { self.ptr_offset_unchecked(ctx, generator, indices, name) }
|
||||
}
|
||||
}
|
||||
|
||||
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> UntypedArrayLikeAccessor<'ctx, Index>
|
||||
for NDArrayDataProxy<'ctx, '_>
|
||||
{
|
||||
}
|
||||
impl<'ctx, Index: UntypedArrayLikeAccessor<'ctx>> UntypedArrayLikeMutator<'ctx, Index>
|
||||
for NDArrayDataProxy<'ctx, '_>
|
||||
{
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,11 +1,7 @@
|
|||
use crate::{symbol_resolver::SymbolResolver, typecheck::typedef::Type};
|
||||
|
||||
use super::{
|
||||
classes::{
|
||||
ArrayLikeIndexer, ArrayLikeValue, ArraySliceValue, ListValue, NDArrayValue,
|
||||
TypedArrayLikeAdapter, UntypedArrayLikeAccessor,
|
||||
},
|
||||
llvm_intrinsics,
|
||||
classes::{ArrayLikeValue, ListValue},
|
||||
model::*,
|
||||
object::{
|
||||
list::List,
|
||||
|
|
@ -13,15 +9,13 @@ use super::{
|
|||
},
|
||||
CodeGenContext, CodeGenerator,
|
||||
};
|
||||
use crate::codegen::classes::TypedArrayLikeAccessor;
|
||||
use crate::codegen::stmt::gen_for_callback_incrementing;
|
||||
use function::CallFunction;
|
||||
use inkwell::{
|
||||
attributes::{Attribute, AttributeLoc},
|
||||
context::Context,
|
||||
memory_buffer::MemoryBuffer,
|
||||
module::Module,
|
||||
types::{BasicTypeEnum, IntType},
|
||||
types::BasicTypeEnum,
|
||||
values::{BasicValue, BasicValueEnum, CallSiteValue, FloatValue, IntValue},
|
||||
AddressSpace, IntPredicate,
|
||||
};
|
||||
|
|
@ -570,373 +564,6 @@ pub fn call_j0<'ctx>(ctx: &CodeGenContext<'ctx, '_>, v: FloatValue<'ctx>) -> Flo
|
|||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_size`. Returns an [`IntValue`] representing the
|
||||
/// calculated total size.
|
||||
///
|
||||
/// * `dims` - An [`ArrayLikeIndexer`] containing the size of each dimension.
|
||||
/// * `range` - The dimension index to begin and end (exclusively) calculating the dimensions for,
|
||||
/// or [`None`] if starting from the first dimension and ending at the last dimension
|
||||
/// respectively.
|
||||
pub fn call_ndarray_calc_size<'ctx, G, Dims>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
dims: &Dims,
|
||||
(begin, end): (Option<IntValue<'ctx>>, Option<IntValue<'ctx>>),
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Dims: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_size_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_size",
|
||||
64 => "__nac3_ndarray_calc_size64",
|
||||
bw => unreachable!("Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_size_fn_t = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_usize.into(), llvm_usize.into()],
|
||||
false,
|
||||
);
|
||||
let ndarray_calc_size_fn =
|
||||
ctx.module.get_function(ndarray_calc_size_fn_name).unwrap_or_else(|| {
|
||||
ctx.module.add_function(ndarray_calc_size_fn_name, ndarray_calc_size_fn_t, None)
|
||||
});
|
||||
|
||||
let begin = begin.unwrap_or_else(|| llvm_usize.const_zero());
|
||||
let end = end.unwrap_or_else(|| dims.size(ctx, generator));
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_size_fn,
|
||||
&[
|
||||
dims.base_ptr(ctx, generator).into(),
|
||||
dims.size(ctx, generator).into(),
|
||||
begin.into(),
|
||||
end.into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_nd_indices`. Returns a [`TypeArrayLikeAdpater`]
|
||||
/// containing `i32` indices of the flattened index.
|
||||
///
|
||||
/// * `index` - The index to compute the multidimensional index for.
|
||||
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
|
||||
/// `NDArray`.
|
||||
pub fn call_ndarray_calc_nd_indices<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
index: IntValue<'ctx>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let llvm_void = ctx.ctx.void_type();
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_nd_indices_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_nd_indices",
|
||||
64 => "__nac3_ndarray_calc_nd_indices64",
|
||||
bw => unreachable!("Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_nd_indices_fn =
|
||||
ctx.module.get_function(ndarray_calc_nd_indices_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_void.fn_type(
|
||||
&[llvm_usize.into(), llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_nd_indices_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
let ndarray_dims = ndarray.dim_sizes();
|
||||
|
||||
let indices = ctx.builder.build_array_alloca(llvm_i32, ndarray_num_dims, "").unwrap();
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_nd_indices_fn,
|
||||
&[
|
||||
index.into(),
|
||||
ndarray_dims.base_ptr(ctx, generator).into(),
|
||||
ndarray_num_dims.into(),
|
||||
indices.into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
TypedArrayLikeAdapter::from(
|
||||
ArraySliceValue::from_ptr_val(indices, ndarray_num_dims, None),
|
||||
Box::new(|_, v| v.into_int_value()),
|
||||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
|
||||
fn call_ndarray_flatten_index_impl<'ctx, G, Indices>(
|
||||
generator: &G,
|
||||
ctx: &CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: &Indices,
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Indices: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
let llvm_i32 = ctx.ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
|
||||
let llvm_pi32 = llvm_i32.ptr_type(AddressSpace::default());
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
debug_assert_eq!(
|
||||
IntType::try_from(indices.element_type(ctx, generator))
|
||||
.map(IntType::get_bit_width)
|
||||
.unwrap_or_default(),
|
||||
llvm_i32.get_bit_width(),
|
||||
"Expected i32 value for argument `indices` to `call_ndarray_flatten_index_impl`"
|
||||
);
|
||||
debug_assert_eq!(
|
||||
indices.size(ctx, generator).get_type().get_bit_width(),
|
||||
llvm_usize.get_bit_width(),
|
||||
"Expected usize integer value for argument `indices_size` to `call_ndarray_flatten_index_impl`"
|
||||
);
|
||||
|
||||
let ndarray_flatten_index_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_flatten_index",
|
||||
64 => "__nac3_ndarray_flatten_index64",
|
||||
bw => unreachable!("Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_flatten_index_fn =
|
||||
ctx.module.get_function(ndarray_flatten_index_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_usize.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_flatten_index_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let ndarray_num_dims = ndarray.load_ndims(ctx);
|
||||
let ndarray_dims = ndarray.dim_sizes();
|
||||
|
||||
let index = ctx
|
||||
.builder
|
||||
.build_call(
|
||||
ndarray_flatten_index_fn,
|
||||
&[
|
||||
ndarray_dims.base_ptr(ctx, generator).into(),
|
||||
ndarray_num_dims.into(),
|
||||
indices.base_ptr(ctx, generator).into(),
|
||||
indices.size(ctx, generator).into(),
|
||||
],
|
||||
"",
|
||||
)
|
||||
.map(CallSiteValue::try_as_basic_value)
|
||||
.map(|v| v.map_left(BasicValueEnum::into_int_value))
|
||||
.map(Either::unwrap_left)
|
||||
.unwrap();
|
||||
|
||||
index
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_flatten_index`. Returns the flattened index for the
|
||||
/// multidimensional index.
|
||||
///
|
||||
/// * `ndarray` - LLVM pointer to the `NDArray`. This value must be the LLVM representation of an
|
||||
/// `NDArray`.
|
||||
/// * `indices` - The multidimensional index to compute the flattened index for.
|
||||
pub fn call_ndarray_flatten_index<'ctx, G, Index>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
ndarray: NDArrayValue<'ctx>,
|
||||
indices: &Index,
|
||||
) -> IntValue<'ctx>
|
||||
where
|
||||
G: CodeGenerator + ?Sized,
|
||||
Index: ArrayLikeIndexer<'ctx>,
|
||||
{
|
||||
call_ndarray_flatten_index_impl(generator, ctx, ndarray, indices)
|
||||
}
|
||||
|
||||
/// Generates a call to `__nac3_ndarray_calc_broadcast`. Returns a tuple containing the number of
|
||||
/// dimension and size of each dimension of the resultant `ndarray`.
|
||||
pub fn call_ndarray_calc_broadcast<'ctx, G: CodeGenerator + ?Sized>(
|
||||
generator: &mut G,
|
||||
ctx: &mut CodeGenContext<'ctx, '_>,
|
||||
lhs: NDArrayValue<'ctx>,
|
||||
rhs: NDArrayValue<'ctx>,
|
||||
) -> TypedArrayLikeAdapter<'ctx, IntValue<'ctx>> {
|
||||
let llvm_usize = generator.get_size_type(ctx.ctx);
|
||||
let llvm_pusize = llvm_usize.ptr_type(AddressSpace::default());
|
||||
|
||||
let ndarray_calc_broadcast_fn_name = match llvm_usize.get_bit_width() {
|
||||
32 => "__nac3_ndarray_calc_broadcast",
|
||||
64 => "__nac3_ndarray_calc_broadcast64",
|
||||
bw => unreachable!("Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_broadcast_fn =
|
||||
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[
|
||||
llvm_pusize.into(),
|
||||
llvm_usize.into(),
|
||||
llvm_pusize.into(),
|
||||
llvm_usize.into(),
|
||||
llvm_pusize.into(),
|
||||
],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let lhs_ndims = lhs.load_ndims(ctx);
|
||||
let rhs_ndims = rhs.load_ndims(ctx);
|
||||
let min_ndims = llvm_intrinsics::call_int_umin(ctx, lhs_ndims, rhs_ndims, None);
|
||||
|
||||
gen_for_callback_incrementing(
|
||||
generator,
|
||||
ctx,
|
||||
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 => unreachable!("Unsupported size type bit width: {}", bw),
|
||||
};
|
||||
let ndarray_calc_broadcast_fn =
|
||||
ctx.module.get_function(ndarray_calc_broadcast_fn_name).unwrap_or_else(|| {
|
||||
let fn_type = llvm_usize.fn_type(
|
||||
&[llvm_pusize.into(), llvm_usize.into(), llvm_pi32.into(), llvm_pi32.into()],
|
||||
false,
|
||||
);
|
||||
|
||||
ctx.module.add_function(ndarray_calc_broadcast_fn_name, fn_type, None)
|
||||
});
|
||||
|
||||
let broadcast_size = broadcast_idx.size(ctx, generator);
|
||||
let out_idx = ctx.builder.build_array_alloca(llvm_i32, broadcast_size, "").unwrap();
|
||||
|
||||
let array_dims = array.dim_sizes().base_ptr(ctx, generator);
|
||||
let array_ndims = array.load_ndims(ctx);
|
||||
let broadcast_idx_ptr = unsafe {
|
||||
broadcast_idx.ptr_offset_unchecked(ctx, generator, &llvm_usize.const_zero(), None)
|
||||
};
|
||||
|
||||
ctx.builder
|
||||
.build_call(
|
||||
ndarray_calc_broadcast_fn,
|
||||
&[array_dims.into(), array_ndims.into(), broadcast_idx_ptr.into(), out_idx.into()],
|
||||
"",
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
TypedArrayLikeAdapter::from(
|
||||
ArraySliceValue::from_ptr_val(out_idx, broadcast_size, None),
|
||||
Box::new(|_, v| v.into_int_value()),
|
||||
Box::new(|_, v| v.into()),
|
||||
)
|
||||
}
|
||||
|
||||
// When [`TypeContext::size_type`] is 32-bits, the function name is "{fn_name}".
|
||||
// When [`TypeContext::size_type`] is 64-bits, the function name is "{fn_name}64".
|
||||
#[must_use]
|
||||
|
|
|
|||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,6 +1,6 @@
|
|||
use crate::{
|
||||
codegen::{
|
||||
classes::{ListType, NDArrayType, ProxyType, RangeType},
|
||||
classes::{ListType, ProxyType, RangeType},
|
||||
concrete_type::ConcreteTypeStore,
|
||||
CodeGenContext, CodeGenLLVMOptions, CodeGenTargetMachineOptions, CodeGenTask,
|
||||
CodeGenerator, DefaultCodeGenerator, WithCall, WorkerRegistry,
|
||||
|
|
@ -456,15 +456,3 @@ fn test_classes_range_type_new() {
|
|||
let llvm_range = RangeType::new(&ctx);
|
||||
assert!(RangeType::is_type(llvm_range.as_base_type()).is_ok());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_classes_ndarray_type_new() {
|
||||
let ctx = inkwell::context::Context::create();
|
||||
let generator = DefaultCodeGenerator::new(String::new(), 64);
|
||||
|
||||
let llvm_i32 = ctx.i32_type();
|
||||
let llvm_usize = generator.get_size_type(&ctx);
|
||||
|
||||
let llvm_ndarray = NDArrayType::new(&generator, &ctx, llvm_i32.into());
|
||||
assert!(NDArrayType::is_type(llvm_ndarray.as_base_type(), llvm_usize).is_ok());
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue