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74 lines
2.6 KiB
74 lines
2.6 KiB
// Copyright (c) 2020 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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#pragma once
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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class WhereKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* condition = context.Input<framework::Tensor>("Condition");
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auto* X = context.Input<framework::Tensor>("X");
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auto* Y = context.Input<framework::Tensor>("Y");
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auto* out = context.Output<framework::Tensor>("Out");
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const bool* cond_data = condition->data<bool>();
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const T* x_data = X->data<T>();
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const T* y_data = Y->data<T>();
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T* out_data = out->mutable_data<T>(context.GetPlace());
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auto x_numel = X->numel();
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for (int i = 0; i < x_numel; i++) {
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out_data[i] = cond_data[i] ? x_data[i] : y_data[i];
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}
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}
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};
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template <typename DeviceContext, typename T>
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class WhereGradKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* condition = context.Input<framework::LoDTensor>("Condition");
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const auto* cond_data = condition->data<bool>();
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auto numel = condition->numel();
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auto* dout_t =
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context.Input<framework::Tensor>(framework::GradVarName("Out"));
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auto* dx_t = context.Output<framework::Tensor>(framework::GradVarName("X"));
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auto* dy_t = context.Output<framework::Tensor>(framework::GradVarName("Y"));
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auto* dout = dout_t->data<T>();
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if (dx_t != nullptr) {
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auto* dx = dx_t->mutable_data<T>(context.GetPlace());
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for (int i = 0; i < numel; i++) {
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dx[i] = dout[i] * (cond_data[i] ? 1. : 0.);
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}
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}
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if (dy_t != nullptr) {
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auto* dy = dy_t->mutable_data<T>(context.GetPlace());
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for (int i = 0; i < numel; i++) {
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dy[i] = dout[i] * (cond_data[i] ? 0. : 1.);
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}
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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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