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65 lines
2.4 KiB
65 lines
2.4 KiB
6 years ago
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/* Copyright (c) 2016 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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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/prelu.h"
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#include "paddle/fluid/operators/prelu_op.h"
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#include "paddle/fluid/platform/cuda_primitives.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 DeviceContext, typename T>
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class CUDAPReluKernel : 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* x = context.Input<Tensor>("X");
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auto* alpha = context.Input<Tensor>("Alpha");
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auto* out = context.Output<Tensor>("Out");
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const T* x_ptr = x->data<T>();
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T* o_ptr = out->mutable_data<T>(context.GetPlace());
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const T* alpha_ptr = alpha->data<T>();
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auto& mode = context.Attr<std::string>("mode");
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int numel = x->numel();
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auto dim = x->dims();
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std::vector<int> input_shape = framework::vectorize2int(dim);
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if (mode == "channel") {
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math::PreluChannelWiseDirectCUDAFunctor<T> prelu_channel_wise;
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prelu_channel_wise(context.cuda_device_context().stream(), x_ptr,
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alpha_ptr, o_ptr, input_shape);
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} else if (mode == "element") {
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math::PreluElementWiseDirectCUDAFunctor<T> prelu_element_wise;
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prelu_element_wise(context.cuda_device_context().stream(), x_ptr,
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alpha_ptr, o_ptr, input_shape);
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} else {
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math::PreluScalarDirectCUDAFunctor<T> prelu_scalar;
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prelu_scalar(context.cuda_device_context().stream(), x_ptr, alpha_ptr,
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o_ptr, input_shape);
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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 ops = paddle::operators;
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REGISTER_OP_CUDA_KERNEL(
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prelu, ops::CUDAPReluKernel<paddle::platform::CUDADeviceContext, float>,
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ops::CUDAPReluKernel<paddle::platform::CUDADeviceContext, double>);
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