activation_op.cu 5.4 KB
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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");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
    http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
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#include "paddle/fluid/operators/activation_op.h"
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#include "paddle/fluid/platform/float16.h"
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namespace ops = paddle::operators;
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namespace plat = paddle::platform;

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#define REGISTER_ACTIVATION_CUDA_KERNEL(act_type, op_name, functor,         \
                                        grad_functor)                       \
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  REGISTER_OP_CUDA_KERNEL(                                                  \
      act_type,                                                             \
      ops::ActivationKernel<plat::CUDADeviceContext, ops::functor<float>>,  \
      ops::ActivationKernel<plat::CUDADeviceContext, ops::functor<double>>, \
      ops::ActivationKernel<plat::CUDADeviceContext,                        \
                            ops::functor<plat::float16>>);                  \
  REGISTER_OP_CUDA_KERNEL(                                                  \
      act_type##_grad, ops::ActivationGradKernel<plat::CUDADeviceContext,   \
                                                 ops::grad_functor<float>>, \
      ops::ActivationGradKernel<plat::CUDADeviceContext,                    \
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                                ops::grad_functor<double>>,                 \
      ops::ActivationGradKernel<plat::CUDADeviceContext,                    \
                                ops::grad_functor<plat::float16>>);
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FOR_EACH_ACTIVATION_OP(REGISTER_ACTIVATION_CUDA_KERNEL);
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/* ======================== leaky relu register  ============================ */
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REGISTER_ACTIVATION_CUDA_KERNEL(leaky_relu, LeakyRelu, LeakyReluFunctor,
                                LeakyReluGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    leaky_relu_grad_grad,
    ops::ActivationDoubleGradKernel<plat::CUDADeviceContext,
                                    ops::LeakyReluGradGradFunctor<float>>,
    ops::ActivationDoubleGradKernel<plat::CUDADeviceContext,
                                    ops::LeakyReluGradGradFunctor<double>>,
    ops::ActivationDoubleGradKernel<
        plat::CUDADeviceContext, ops::LeakyReluGradGradFunctor<plat::float16>>);
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/* ========================================================================== */
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/* ===========================    relu register  ============================ */
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REGISTER_ACTIVATION_CUDA_KERNEL(relu, Relu, ReluFunctor, ReluGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    relu_grad_grad,
    ops::ActivationDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                    ops::ReluGradGradFunctor<float>>,
    ops::ActivationDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                    ops::ReluGradGradFunctor<double>>,
    ops::ActivationDoubleGradKernel<plat::CUDADeviceContext,
                                    ops::ReluGradGradFunctor<plat::float16>>);
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/* ========================================================================== */

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/* ===========================   sqrt register  ============================= */
REGISTER_ACTIVATION_CUDA_KERNEL(sqrt, Sqrt, SqrtFunctor, SqrtGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    sqrt_grad_grad,
    ops::SqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                              ops::SqrtGradGradFunctor<float>>,
    ops::SqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                              ops::SqrtGradGradFunctor<double>>,
    ops::SqrtDoubleGradKernel<paddle::platform::CUDADeviceContext,
                              ops::SqrtGradGradFunctor<plat::float16>>);
/* ========================================================================== */

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/* ===========================  square register  ============================ */
REGISTER_ACTIVATION_CUDA_KERNEL(square, Square, SquareFunctor,
                                SquareGradFunctor);

REGISTER_OP_CUDA_KERNEL(
    square_grad_grad,
    ops::SquareDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                ops::SquareGradGradFunctor<float>>,
    ops::SquareDoubleGradKernel<paddle::platform::CUDADeviceContext,
                                ops::SquareGradGradFunctor<double>>,
    ops::SquareDoubleGradKernel<plat::CUDADeviceContext,
                                ops::SquareGradGradFunctor<plat::float16>>);
/* ========================================================================== */
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/* ==========================   pow register  ============================ */

REGISTER_OP_CUDA_KERNEL(
    pow, ops::PowKernel<plat::CUDADeviceContext, ops::PowFunctor<float>>,
    ops::PowKernel<plat::CUDADeviceContext, ops::PowFunctor<double>>,
    ops::PowKernel<plat::CUDADeviceContext, ops::PowFunctor<plat::float16>>);
REGISTER_OP_CUDA_KERNEL(
    pow_grad,
    ops::PowGradKernel<plat::CUDADeviceContext, ops::PowGradFunctor<float>>,
    ops::PowGradKernel<plat::CUDADeviceContext, ops::PowGradFunctor<double>>,
    ops::PowGradKernel<plat::CUDADeviceContext,
                       ops::PowGradFunctor<plat::float16>>);
/* ========================================================================== */