wehub-resource-sync
123 lines
3.8 KiB
C++
123 lines
3.8 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/phi/kernels/sparse/empty_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/tensor_utils.h"
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namespace phi::sparse {
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template <typename T, typename Context>
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void EmptyLikeCooKernel(const Context& dev_ctx,
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const SparseCooTensor& x,
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SparseCooTensor* out) {
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*(out->mutable_indices()) = x.indices();
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const DenseTensor& x_values = x.values();
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DenseTensor* out_values = out->mutable_values();
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out_values->Resize(x_values.dims());
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out->set_meta(x.meta());
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dev_ctx.template Alloc<T>(out_values);
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}
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template <typename T, typename Context>
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void EmptyLikeCsrKernel(const Context& dev_ctx,
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const SparseCsrTensor& x,
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SparseCsrTensor* out) {
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*(out->mutable_crows()) = x.crows();
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*(out->mutable_cols()) = x.cols();
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const DenseTensor& x_values = x.values();
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DenseTensor* out_values = out->mutable_values();
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out_values->Resize(x_values.dims());
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out->set_meta(x.meta());
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dev_ctx.template Alloc<T>(out_values);
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}
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} // namespace phi::sparse
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PD_REGISTER_KERNEL(empty_like_coo,
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CPU,
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ALL_LAYOUT,
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phi::sparse::EmptyLikeCooKernel,
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float,
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double,
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int8_t,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
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}
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PD_REGISTER_KERNEL(empty_like_csr,
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CPU,
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ALL_LAYOUT,
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phi::sparse::EmptyLikeCsrKernel,
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float,
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double,
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int8_t,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(empty_like_coo,
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GPU,
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ALL_LAYOUT,
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phi::sparse::EmptyLikeCooKernel,
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phi::float16,
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float,
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double,
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int8_t,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
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}
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PD_REGISTER_KERNEL(empty_like_csr,
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GPU,
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ALL_LAYOUT,
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phi::sparse::EmptyLikeCsrKernel,
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phi::float16,
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float,
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double,
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int8_t,
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uint8_t,
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int16_t,
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int,
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int64_t,
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bool,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);
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}
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#endif
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