wehub-resource-sync
77 lines
2.7 KiB
C++
77 lines
2.7 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/unary_grad_kernel.h"
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#include "paddle/phi/kernels/sparse/unary_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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#include "paddle/phi/kernels/sparse/empty_kernel.h"
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#include "paddle/phi/kernels/sparse/impl/unary_grad_kernel_impl.h"
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namespace phi::sparse {
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std::vector<int> get_cpu_grad_perm(std::vector<int> perm) {
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std::vector<int> grad_perm(perm.size());
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for (unsigned int i = 0; i < perm.size(); ++i) {
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grad_perm[perm[i]] = static_cast<int>(i);
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}
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return grad_perm;
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}
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template <typename T, typename Context>
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void TransposeCooGradKernel(const Context& dev_ctx,
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const SparseCooTensor& dout,
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const std::vector<int>& perm,
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SparseCooTensor* dx) {
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std::vector<int> grad_perm = get_cpu_grad_perm(perm);
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TransposeCooKernel<T, Context>(dev_ctx, dout, grad_perm, dx);
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}
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template <typename T, typename Context>
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void TransposeCsrGradKernel(const Context& dev_ctx,
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const SparseCsrTensor& dout,
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const std::vector<int>& perm,
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SparseCsrTensor* dx) {
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std::vector<int> grad_perm = get_cpu_grad_perm(perm);
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TransposeCsrKernel<T, Context>(dev_ctx, dout, grad_perm, dx);
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}
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} // namespace phi::sparse
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PD_REGISTER_KERNEL(transpose_coo_grad,
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CPU,
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ALL_LAYOUT,
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phi::sparse::TransposeCooGradKernel,
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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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PD_REGISTER_KERNEL(transpose_csr_grad,
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CPU,
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ALL_LAYOUT,
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phi::sparse::TransposeCsrGradKernel,
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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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