wehub-resource-sync
55 lines
2.0 KiB
C++
55 lines
2.0 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/mv_grad_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi::sparse {
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template <typename T, typename Context>
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void MvCooGradKernel(const Context& dev_ctx UNUSED,
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const SparseCooTensor& x UNUSED,
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const DenseTensor& vec UNUSED,
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const DenseTensor& dout UNUSED,
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SparseCooTensor* dx UNUSED,
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DenseTensor* dvec UNUSED) {
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PADDLE_THROW(common::errors::Unimplemented(
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"Not support CPU backward kernel of 'sparse.mv' now."));
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}
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template <typename T, typename Context>
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void MvCsrGradKernel(const Context& dev_ctx UNUSED,
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const SparseCsrTensor& x UNUSED,
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const DenseTensor& vec UNUSED,
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const DenseTensor& dout UNUSED,
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SparseCsrTensor* dx UNUSED,
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DenseTensor* dvec UNUSED) {
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PADDLE_THROW(common::errors::Unimplemented(
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"Not support CPU backward kernel of 'sparse.mv' now."));
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}
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} // namespace phi::sparse
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PD_REGISTER_KERNEL(
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mv_coo_grad, CPU, ALL_LAYOUT, phi::sparse::MvCooGradKernel, float, double) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
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}
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PD_REGISTER_KERNEL(
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mv_csr_grad, CPU, ALL_LAYOUT, phi::sparse::MvCsrGradKernel, float, double) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);
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}
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