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86 lines
2.8 KiB
86 lines
2.8 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/eigen.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/operator.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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using Tensor = framework::Tensor;
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template <typename T>
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using EnableComplex =
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typename std::enable_if<std::is_same<T, platform::complex64>::value ||
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std::is_same<T, platform::complex128>::value>::type;
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template <typename T>
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using DisableComplex = typename std::enable_if<
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!std::is_same<T, platform::complex64>::value &&
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!std::is_same<T, platform::complex128>::value>::type;
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template <typename T, typename Enable = void>
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struct ConjFunctor;
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template <typename T>
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struct ConjFunctor<T, EnableComplex<T>> {
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ConjFunctor(const T* input, int64_t numel, T* output)
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: input_(input), numel_(numel), output_(output) {}
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HOSTDEVICE void operator()(size_t idx) const {
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output_[idx] = T(input_[idx].real, -input_[idx].imag);
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}
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const T* input_;
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int64_t numel_;
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T* output_;
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};
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template <typename T>
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struct ConjFunctor<T, DisableComplex<T>> {
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ConjFunctor(const T* input, int64_t numel, T* output)
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: input_(input), numel_(numel), output_(output) {}
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HOSTDEVICE void operator()(size_t idx) const { output_[idx] = input_[idx]; }
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const T* input_;
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int64_t numel_;
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T* output_;
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};
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template <typename DeviceContext, typename T>
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class ConjKernel : 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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const Tensor* x = context.Input<Tensor>("X");
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Tensor* out = context.Output<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<T>(context.GetPlace(),
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size_t(x->numel() * sizeof(T)));
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auto& dev_ctx = context.template device_context<DeviceContext>();
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platform::ForRange<DeviceContext> for_range(dev_ctx, numel);
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ConjFunctor<T> functor(x_data, numel, out_data);
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for_range(functor);
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}
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};
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DECLARE_INPLACE_OP_INFERER(ConjOpInplaceInferer, {"X", "Out"});
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} // namespace operators
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} // namespace paddle
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