wehub-resource-sync
63 lines
2.4 KiB
C++
63 lines
2.4 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/matmul_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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// TODO(zhouwei25): implement CPU backward kernel of " CSR @ DENSE -> DENSE"
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template <typename T, typename Context>
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void MatmulCsrDenseGradKernel(const Context& dev_ctx 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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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.matmul' now."));
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}
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// TODO(zhouwei25): implement CPU kernel 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 UNUSED,
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const DenseTensor& x UNUSED,
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const DenseTensor& y UNUSED,
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const SparseCsrTensor& dout UNUSED,
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DenseTensor* 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.masked_matmul' now."));
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}
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} // namespace phi::sparse
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PD_REGISTER_KERNEL(matmul_csr_dense_grad,
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CPU,
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ALL_LAYOUT,
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phi::sparse::MatmulCsrDenseGradKernel,
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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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PD_REGISTER_KERNEL(masked_matmul_csr_grad,
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CPU,
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ALL_LAYOUT,
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phi::sparse::MaskedMatmulCsrGradKernel,
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float,
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double) {}
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