wehub-resource-sync
71 lines
2.8 KiB
C++
71 lines
2.8 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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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/sparse_coo_tensor.h"
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#include "paddle/phi/core/sparse_csr_tensor.h"
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namespace phi {
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namespace sparse {
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// TODO(zhouwei25): implement Backward of " COO @ COO -> COO"
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template <typename T, typename Context>
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void MatmulCooCooGradKernel(const Context& dev_ctx,
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const SparseCooTensor& x,
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const SparseCooTensor& y,
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const SparseCooTensor& dout,
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SparseCooTensor* dx,
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SparseCooTensor* dy);
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// Backward of " COO @ DENSE -> DENSE"
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template <typename T, typename Context>
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void MatmulCooDenseGradKernel(const Context& dev_ctx,
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const SparseCooTensor& x,
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const DenseTensor& y,
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const DenseTensor& dout,
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SparseCooTensor* dx,
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DenseTensor* dy);
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// TODO(zhouwei25): implement Backward of " CSR @ CSR -> CSR"
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template <typename T, typename Context>
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void MatmulCsrCsrGradKernel(const Context& dev_ctx,
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const SparseCsrTensor& x,
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const SparseCsrTensor& y,
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const SparseCsrTensor& dout,
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SparseCsrTensor* dx,
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SparseCsrTensor* dy);
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/* Backward of "CSR @ DENSE -> DENSE" */
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template <typename T, typename Context>
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void MatmulCsrDenseGradKernel(const Context& dev_ctx,
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const SparseCsrTensor& x,
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const DenseTensor& y,
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const DenseTensor& dout,
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SparseCsrTensor* dx,
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DenseTensor* dy);
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/* Backward of "DENSE @ DENSE * CSR_MASK -> CSR" */
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template <typename T, typename Context>
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void MaskedMatmulCsrGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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const SparseCsrTensor& dout,
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DenseTensor* dx,
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DenseTensor* dy);
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} // namespace sparse
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} // namespace phi
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