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Unify Activation functions and simplify register code
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reyoung committed Sep 28, 2017
1 parent 184768e commit 337b7eb
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Showing 3 changed files with 190 additions and 311 deletions.
83 changes: 13 additions & 70 deletions paddle/operators/activation_op.cc
Original file line number Diff line number Diff line change
Expand Up @@ -195,111 +195,54 @@ class STanhOpMaker : public framework::OpProtoAndCheckerMaker {
} // namespace paddle

namespace ops = paddle::operators;

REGISTER_OP(sigmoid, ops::ActivationOp, ops::SigmoidOpMaker, sigmoid_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(sigmoid,
ops::ActivationKernel<paddle::platform::CPUPlace, float,
ops::SigmoidFunctor<float>>);
REGISTER_OP_CPU_KERNEL(
sigmoid_grad, ops::ActivationGradKernel<paddle::platform::CPUPlace, float,
ops::SigmoidGradFunctor<float>>);

REGISTER_OP(exp, ops::ActivationOp, ops::ExpOpMaker, exp_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(
exp,
ops::ActivationKernel<paddle::platform::CPUPlace, float, ops::ExpFunctor>);
REGISTER_OP_CPU_KERNEL(exp_grad,
ops::ActivationGradKernel<paddle::platform::CPUPlace,
float, ops::ExpGradFunctor>);

REGISTER_OP(relu, ops::ActivationOp, ops::ReluOpMaker, relu_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(relu,
ops::ActivationKernel<paddle::platform::CPUPlace, float,
ops::ReluFunctor<float>>);
REGISTER_OP_CPU_KERNEL(
relu_grad, ops::ActivationGradKernel<paddle::platform::CPUPlace, float,
ops::ReluGradFunctor<float>>);

REGISTER_OP(tanh, ops::ActivationOp, ops::TanhOpMaker, tanh_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(
tanh,
ops::ActivationKernel<paddle::platform::CPUPlace, float, ops::TanhFunctor>);
REGISTER_OP_CPU_KERNEL(
tanh_grad, ops::ActivationGradKernel<paddle::platform::CPUPlace, float,
ops::TanhGradFunctor<float>>);

REGISTER_OP(sqrt, ops::ActivationOp, ops::SqrtOpMaker, sqrt_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(
sqrt,
ops::ActivationKernel<paddle::platform::CPUPlace, float, ops::SqrtFunctor>);
REGISTER_OP_CPU_KERNEL(
sqrt_grad, ops::ActivationGradKernel<paddle::platform::CPUPlace, float,
ops::SqrtGradFunctor<float>>);

REGISTER_OP(abs, ops::ActivationOp, ops::AbsOpMaker, abs_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(
abs,
ops::ActivationKernel<paddle::platform::CPUPlace, float, ops::AbsFunctor>);
REGISTER_OP_CPU_KERNEL(abs_grad,
ops::ActivationGradKernel<paddle::platform::CPUPlace,
float, ops::AbsGradFunctor>);

REGISTER_OP(reciprocal, ops::ActivationOp, ops::ReciprocalOpMaker,
reciprocal_grad, ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(reciprocal,
ops::ActivationKernel<paddle::platform::CPUPlace, float,
ops::ReciprocalFunctor<float>>);
REGISTER_OP_CPU_KERNEL(
reciprocal_grad,
ops::ActivationGradKernel<paddle::platform::CPUPlace, float,
ops::ReciprocalGradFunctor<float>>);

REGISTER_OP(log, ops::ActivationOp, ops::LogOpMaker, log_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(
log,
ops::ActivationKernel<paddle::platform::CPUPlace, float, ops::LogFunctor>);
REGISTER_OP_CPU_KERNEL(
log_grad, ops::ActivationGradKernel<paddle::platform::CPUPlace, float,
ops::LogGradFunctor<float>>);

REGISTER_OP(square, ops::ActivationOp, ops::SquareOpMaker, square_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(square,
ops::ActivationKernel<paddle::platform::CPUPlace, float,
ops::SquareFunctor>);
REGISTER_OP_CPU_KERNEL(
square_grad, ops::ActivationGradKernel<paddle::platform::CPUPlace, float,
ops::SquareGradFunctor<float>>);

REGISTER_OP(brelu, ops::ActivationOp, ops::BReluOpMaker<float>, brelu_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(brelu,
ops::BReluKernel<paddle::platform::CPUPlace, float>);
REGISTER_OP_CPU_KERNEL(brelu_grad,
ops::BReluGradKernel<paddle::platform::CPUPlace, float>);

REGISTER_OP(soft_relu, ops::ActivationOp, ops::SoftReluOpMaker<float>,
soft_relu_grad, ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(soft_relu,
ops::SoftReluKernel<paddle::platform::CPUPlace, float>);
REGISTER_OP_CPU_KERNEL(
soft_relu_grad, ops::SoftReluGradKernel<paddle::platform::CPUPlace, float>);

REGISTER_OP(pow, ops::ActivationOp, ops::PowOpMaker<float>, pow_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(pow, ops::PowKernel<paddle::platform::CPUPlace, float>);
REGISTER_OP_CPU_KERNEL(pow_grad,
ops::PowGradKernel<paddle::platform::CPUPlace, float>);

REGISTER_OP(stanh, ops::ActivationOp, ops::STanhOpMaker<float>, stanh_grad,
ops::ActivationOpGrad);
REGISTER_OP_CPU_KERNEL(stanh,
ops::STanhKernel<paddle::platform::CPUPlace, float>);
REGISTER_OP_CPU_KERNEL(stanh_grad,
ops::STanhGradKernel<paddle::platform::CPUPlace, float>);

#define REGISTER_ACTIVATION_CPU_KERNEL(act_type, functor, grad_functor) \
REGISTER_OP_CPU_KERNEL( \
act_type, \
paddle::operators::ActivationKernel<paddle::platform::CPUPlace, \
paddle::operators::functor<float>>); \
REGISTER_OP_CPU_KERNEL(act_type##_grad, \
paddle::operators::ActivationGradKernel< \
paddle::platform::CPUPlace, \
paddle::operators::grad_functor<float>>);

FOR_EACH_KERNEL_FUNCTOR(REGISTER_ACTIVATION_CPU_KERNEL);
94 changes: 11 additions & 83 deletions paddle/operators/activation_op.cu
Original file line number Diff line number Diff line change
Expand Up @@ -15,86 +15,14 @@
#define EIGEN_USE_GPU
#include "paddle/operators/activation_op.h"

namespace ops = paddle::operators;

REGISTER_OP_GPU_KERNEL(sigmoid,
ops::ActivationKernel<paddle::platform::GPUPlace, float,
ops::SigmoidFunctor<float>>);
REGISTER_OP_GPU_KERNEL(
sigmoid_grad, ops::ActivationGradKernel<paddle::platform::GPUPlace, float,
ops::SigmoidGradFunctor<float>>);

REGISTER_OP_GPU_KERNEL(
exp,
ops::ActivationKernel<paddle::platform::GPUPlace, float, ops::ExpFunctor>);
REGISTER_OP_GPU_KERNEL(exp_grad,
ops::ActivationGradKernel<paddle::platform::GPUPlace,
float, ops::ExpGradFunctor>);
REGISTER_OP_GPU_KERNEL(relu,
ops::ActivationKernel<paddle::platform::GPUPlace, float,
ops::ReluFunctor<float>>);
REGISTER_OP_GPU_KERNEL(
relu_grad, ops::ActivationGradKernel<paddle::platform::GPUPlace, float,
ops::ReluGradFunctor<float>>);

REGISTER_OP_GPU_KERNEL(
tanh,
ops::ActivationKernel<paddle::platform::GPUPlace, float, ops::TanhFunctor>);
REGISTER_OP_GPU_KERNEL(
tanh_grad, ops::ActivationGradKernel<paddle::platform::GPUPlace, float,
ops::TanhGradFunctor<float>>);

REGISTER_OP_GPU_KERNEL(
sqrt,
ops::ActivationKernel<paddle::platform::GPUPlace, float, ops::SqrtFunctor>);
REGISTER_OP_GPU_KERNEL(
sqrt_grad, ops::ActivationGradKernel<paddle::platform::GPUPlace, float,
ops::SqrtGradFunctor<float>>);

REGISTER_OP_GPU_KERNEL(
abs,
ops::ActivationKernel<paddle::platform::GPUPlace, float, ops::AbsFunctor>);
REGISTER_OP_GPU_KERNEL(abs_grad,
ops::ActivationGradKernel<paddle::platform::GPUPlace,
float, ops::AbsGradFunctor>);

REGISTER_OP_GPU_KERNEL(reciprocal,
ops::ActivationKernel<paddle::platform::GPUPlace, float,
ops::ReciprocalFunctor<float>>);
REGISTER_OP_GPU_KERNEL(
reciprocal_grad,
ops::ActivationGradKernel<paddle::platform::GPUPlace, float,
ops::ReciprocalGradFunctor<float>>);

REGISTER_OP_GPU_KERNEL(
log,
ops::ActivationKernel<paddle::platform::GPUPlace, float, ops::LogFunctor>);
REGISTER_OP_GPU_KERNEL(
log_grad, ops::ActivationGradKernel<paddle::platform::GPUPlace, float,
ops::LogGradFunctor<float>>);

REGISTER_OP_GPU_KERNEL(square,
ops::ActivationKernel<paddle::platform::GPUPlace, float,
ops::SquareFunctor>);
REGISTER_OP_GPU_KERNEL(
square_grad, ops::ActivationGradKernel<paddle::platform::GPUPlace, float,
ops::SquareGradFunctor<float>>);

REGISTER_OP_GPU_KERNEL(brelu,
ops::BReluKernel<paddle::platform::GPUPlace, float>);
REGISTER_OP_GPU_KERNEL(brelu_grad,
ops::BReluGradKernel<paddle::platform::GPUPlace, float>);

REGISTER_OP_GPU_KERNEL(soft_relu,
ops::SoftReluKernel<paddle::platform::GPUPlace, float>);
REGISTER_OP_GPU_KERNEL(
soft_relu_grad, ops::SoftReluGradKernel<paddle::platform::GPUPlace, float>);

REGISTER_OP_GPU_KERNEL(pow, ops::PowKernel<paddle::platform::GPUPlace, float>);
REGISTER_OP_GPU_KERNEL(pow_grad,
ops::PowGradKernel<paddle::platform::GPUPlace, float>);

REGISTER_OP_GPU_KERNEL(stanh,
ops::STanhKernel<paddle::platform::GPUPlace, float>);
REGISTER_OP_GPU_KERNEL(stanh_grad,
ops::STanhGradKernel<paddle::platform::GPUPlace, float>);
#define REGISTER_ACTIVATION_GPU_KERNEL(act_type, functor, grad_functor) \
REGISTER_OP_GPU_KERNEL( \
act_type, \
paddle::operators::ActivationKernel<paddle::platform::GPUPlace, \
paddle::operators::functor<float>>); \
REGISTER_OP_GPU_KERNEL(act_type##_grad, \
paddle::operators::ActivationGradKernel< \
paddle::platform::GPUPlace, \
paddle::operators::grad_functor<float>>);

FOR_EACH_KERNEL_FUNCTOR(REGISTER_ACTIVATION_GPU_KERNEL);
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