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67 lines
2.4 KiB
67 lines
2.4 KiB
// Copyright (c) 2018 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/fluid/operators/stack_op.h"
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namespace paddle {
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namespace operators {
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struct CPUStackFunctor {
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template <typename DeviceContext, typename T>
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void operator()(const DeviceContext& ctx, const std::vector<const T*>& x,
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T* y, int pre, int n, int post) const {
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int total_num = pre * post * n;
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for (int idx = 0; idx < total_num; ++idx) {
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int i = idx / (n * post);
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int which_x = idx / post - i * n;
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int x_index = i * post + idx % post;
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y[idx] = x[which_x][x_index];
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}
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}
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};
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struct CPUStackGradFunctor {
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template <typename DeviceContext, typename T>
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void operator()(const DeviceContext& ctx, std::vector<T*>& dx, // NOLINT
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const T* dy, int pre, int n, int post) const {
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int total_num = pre * post * n;
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for (int idx = 0; idx < total_num; ++idx) {
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int i = idx / (n * post);
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int which_x = idx / post - i * n;
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int x_index = i * post + idx % post;
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dx[which_x][x_index] = dy[idx];
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace plat = paddle::platform;
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(stack, ops::StackOp, ops::StackOpMaker,
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ops::StackGradOpDescMaker);
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REGISTER_OPERATOR(stack_grad, ops::StackOpGrad);
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REGISTER_OP_CPU_KERNEL(
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stack,
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ops::StackKernel<plat::CPUDeviceContext, float, ops::CPUStackFunctor>,
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ops::StackKernel<plat::CPUDeviceContext, double, ops::CPUStackFunctor>);
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REGISTER_OP_CPU_KERNEL(stack_grad,
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ops::StackGradKernel<plat::CPUDeviceContext, float,
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ops::CPUStackGradFunctor>,
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ops::StackGradKernel<plat::CPUDeviceContext, double,
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ops::CPUStackGradFunctor>);
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