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67 lines
2.4 KiB
67 lines
2.4 KiB
/* Copyright (c) 2020 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/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/complex_functors.h"
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#include "paddle/fluid/platform/for_range.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 RealKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const {
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const framework::Tensor* x = ctx.Input<framework::Tensor>("X");
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framework::Tensor* out = ctx.Output<framework::Tensor>("Out");
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auto numel = x->numel();
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auto* x_data = x->data<T>();
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auto* out_data = out->mutable_data<math::Real<T>>(
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ctx.GetPlace(), static_cast<size_t>(numel * sizeof(math::Real<T>)));
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auto& dev_ctx = ctx.template device_context<DeviceContext>();
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platform::ForRange<DeviceContext> for_range(dev_ctx, numel);
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math::RealFunctor<T> functor(x_data, out_data, numel);
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for_range(functor);
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}
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};
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template <typename DeviceContext, typename T>
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class RealGradKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const {
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const framework::Tensor* d_out =
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ctx.Input<framework::Tensor>(framework::GradVarName("Out"));
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framework::Tensor* d_x =
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ctx.Output<framework::Tensor>(framework::GradVarName("X"));
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auto numel = d_out->numel();
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auto* dout_data = d_out->data<math::Real<T>>();
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auto* dx_data = d_x->mutable_data<T>(
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ctx.GetPlace(), static_cast<size_t>(numel * sizeof(T)));
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auto& dev_ctx = ctx.template device_context<DeviceContext>();
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platform::ForRange<DeviceContext> for_range(dev_ctx, numel);
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math::RealToComplexFunctor<T> functor(dout_data, dx_data, numel);
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for_range(functor);
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}
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};
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} // namespace operators
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} // namespace paddle
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