wehub-resource-sync
71 lines
2.7 KiB
C++
71 lines
2.7 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/addmm_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 AddmmCooDenseGradKernel(const Context& dev_ctx UNUSED,
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const DenseTensor& input UNUSED,
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const SparseCooTensor& x UNUSED,
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const DenseTensor& y UNUSED,
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const DenseTensor& dout UNUSED,
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float alpha UNUSED,
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float beta UNUSED,
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DenseTensor* dinput UNUSED,
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SparseCooTensor* dx UNUSED,
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DenseTensor* dy UNUSED) {
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PADDLE_THROW(common::errors::Unimplemented(
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"Not support CPU backward kernel of 'sparse.addmm' now."));
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}
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template <typename T, typename Context>
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void AddmmCsrDenseGradKernel(const Context& dev_ctx UNUSED,
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const DenseTensor& input UNUSED,
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const SparseCsrTensor& x UNUSED,
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const DenseTensor& y UNUSED,
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const DenseTensor& dout UNUSED,
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float alpha UNUSED,
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float beta UNUSED,
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DenseTensor* dinput UNUSED,
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SparseCsrTensor* dx UNUSED,
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DenseTensor* dy UNUSED) {
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PADDLE_THROW(common::errors::Unimplemented(
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"Not support CPU backward kernel of 'sparse.addmm' now."));
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}
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} // namespace phi::sparse
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PD_REGISTER_KERNEL(addmm_coo_dense_grad,
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CPU,
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ALL_LAYOUT,
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phi::sparse::AddmmCooDenseGradKernel,
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float,
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double) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
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}
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PD_REGISTER_KERNEL(addmm_csr_dense_grad,
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CPU,
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ALL_LAYOUT,
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phi::sparse::AddmmCsrDenseGradKernel,
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float,
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double) {
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kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);
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}
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