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未验证 提交 d84cdb7b 编写于 作者: T Tao Luo 提交者： GitHub
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Merge pull request #9911 from tonyyang-svail/unify_op_registry 

Unify REGISTER_OP and REGISTER_OPERATOR
上级 1fd12840 68d96385
显示空白变更内容
内联 并排
Showing with 379 addition and 274 deletion
paddle/fluid/framework/grad_op_desc_maker.h
浏览文件 @ d84cdb7b
......@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <algorithm>
#include <string>
#include <unordered_set>
#include <vector>
......@@ -69,8 +70,7 @@ class GradOpDescMakerBase {
" for input argument with a list of variables, "
" drop_empty_grad is not allowed because it makes"
" the correspondence bewteen a variable and its gradient"
" ambiguous. Use REGISTER_OP_EX to register the op"
" or call InputGrad(?,false) in GradOpDescMaker."
" ambiguous."
" Op type %s",
fwd_op_.Type());
......
paddle/fluid/framework/op_registry.h
浏览文件 @ d84cdb7b
......@@ -16,6 +16,8 @@ limitations under the License. */
#include <algorithm>
#include <atomic>
#include <string>
#include <tuple>
#include <type_traits>
#include <typeinfo>
#include <unordered_map>
......@@ -141,36 +143,6 @@ class OpKernelRegistrar : public Registrar {
return 0; \
}
/**
* Macro to register Operator. When the input is duplicable, you should
* use REGISTER_OP_EX with drop_empty_grad=false instead.
*/
#define REGISTER_OP(op_type, op_class, op_maker_class, grad_op_type, \
grad_op_class) \
REGISTER_OP_EX(op_type, op_class, op_maker_class, grad_op_type, \
grad_op_class, true)
// When an argument is duplicable, we need to use this version.
// Perhaps we can omit DropEmptyIG template parameter and
// only have one version of REGISTER_OP.
#define REGISTER_OP_EX(op_type, op_class, op_maker_class, grad_op_type, \
grad_op_class, drop_empty_grad) \
REGISTER_OPERATOR(grad_op_type, grad_op_class); \
class _GradOpDescMaker_##grad_op_type##_ \
: public ::paddle::framework::DefaultGradOpDescMaker<drop_empty_grad> { \
using ::paddle::framework::DefaultGradOpDescMaker< \
drop_empty_grad>::DefaultGradOpDescMaker; \
\
protected: \
virtual std::string GradOpType() const { return #grad_op_type; } \
}; \
REGISTER_OPERATOR(op_type, op_class, _GradOpDescMaker_##grad_op_type##_, \
op_maker_class);
#define REGISTER_OP_WITH_KERNEL(op_type, ...) \
REGISTER_OPERATOR(op_type, ::paddle::framework::OperatorWithKernel, \
##__VA_ARGS__)
#define REGISTER_OP_WITHOUT_GRADIENT(op_type, op_class, op_maker_class) \
REGISTER_OPERATOR(op_type, op_class, op_maker_class)
......
paddle/fluid/operators/CMakeLists.txt
浏览文件 @ d84cdb7b
......@@ -110,12 +110,12 @@ function(op_library TARGET)
# Note that it's enough to just adding one operator to pybind in a *_op.cc file.
# And for detail pybind information, please see generated paddle/pybind/pybind.h.
file(READ ${TARGET}.cc TARGET_CONTENT)
string(REGEX MATCH "REGISTER_OP\\(.*REGISTER_OP\\(" multi_register "${TARGET_CONTENT}")
string(REGEX MATCH "REGISTER_OP\\([a-z0-9_]*," one_register "${multi_register}")
string(REGEX MATCH "REGISTER_OPERATOR\\(.*REGISTER_OPERATOR\\(" multi_register "${TARGET_CONTENT}")
string(REGEX MATCH "REGISTER_OPERATOR\\([a-z0-9_]*," one_register "${multi_register}")
if (one_register STREQUAL "")
string(REPLACE "_op" "" TARGET "${TARGET}")
else ()
string(REPLACE "REGISTER_OP(" "" TARGET "${one_register}")
string(REPLACE "REGISTER_OPERATOR(" "" TARGET "${one_register}")
string(REPLACE "," "" TARGET "${TARGET}")
endif()
......
paddle/fluid/operators/activation_op.cc
浏览文件 @ d84cdb7b
......@@ -558,95 +558,126 @@ $$out = \frac{x}{1 + e^{- \beta x}}$$
namespace ops = paddle::operators;
REGISTER_OP(sigmoid, ops::ActivationOp, ops::SigmoidOpMaker, sigmoid_grad,
ops::ActivationOpGrad);
REGISTER_OPERATOR(sigmoid, ops::ActivationOp, ops::SigmoidOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(sigmoid_grad, ops::ActivationOpGrad)
REGISTER_OP(logsigmoid, ops::ActivationOp, ops::LogSigmoidOpMaker,
logsigmoid_grad, ops::ActivationOpGrad);
REGISTER_OPERATOR(logsigmoid, ops::ActivationOp, ops::LogSigmoidOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(logsigmoid_grad, ops::ActivationOpGrad)
REGISTER_OP(exp, ops::ActivationOp, ops::ExpOpMaker, exp_grad,
ops::ActivationOpGrad);
REGISTER_OPERATOR(exp, ops::ActivationOp, ops::ExpOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(exp_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(relu, ops::ActivationWithMKLDNNOp, ops::ReluOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(relu_grad, ops::ActivationWithMKLDNNOpGrad)
REGISTER_OPERATOR(tanh, ops::ActivationWithMKLDNNOp, ops::TanhOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(tanh_grad, ops::ActivationWithMKLDNNOpGrad)
REGISTER_OPERATOR(tanh_shrink, ops::ActivationOp, ops::TanhShrinkOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(tanh_shrink_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(softshrink, ops::ActivationOp, ops::SoftShrinkOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(softshrink_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(sqrt, ops::ActivationWithMKLDNNOp, ops::SqrtOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(sqrt_grad, ops::ActivationWithMKLDNNOpGrad)
REGISTER_OPERATOR(abs, ops::ActivationWithMKLDNNOp, ops::AbsOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(abs_grad, ops::ActivationWithMKLDNNOpGrad)
REGISTER_OPERATOR(ceil, ops::ActivationOp, ops::CeilOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(ceil_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(floor, ops::ActivationOp, ops::FloorOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(floor_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(cos, ops::ActivationOp, ops::CosOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(cos_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(sin, ops::ActivationOp, ops::SinOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(sin_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(round, ops::ActivationOp, ops::RoundOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(round_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(reciprocal, ops::ActivationOp, ops::ReciprocalOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(reciprocal_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(log, ops::ActivationOp, ops::LogOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(log_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(square, ops::ActivationOp, ops::SquareOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(square_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(softplus, ops::ActivationOp, ops::SoftplusOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(softplus_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(softsign, ops::ActivationOp, ops::SoftsignOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(softsign_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(brelu, ops::ActivationOp, ops::BReluOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(brelu_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(leaky_relu, ops::ActivationOp, ops::LeakyReluOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(leaky_relu_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(soft_relu, ops::ActivationOp, ops::SoftReluOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(soft_relu_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(elu, ops::ActivationOp, ops::ELUOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(elu_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(relu6, ops::ActivationOp, ops::Relu6OpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(relu6_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(pow, ops::ActivationOp, ops::PowOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(pow_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(stanh, ops::ActivationOp, ops::STanhOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(stanh_grad, ops::ActivationOpGrad)
REGISTER_OP(relu, ops::ActivationWithMKLDNNOp, ops::ReluOpMaker, relu_grad,
ops::ActivationWithMKLDNNOpGrad);
REGISTER_OPERATOR(hard_shrink, ops::ActivationOp, ops::HardShrinkOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(hard_shrink_grad, ops::ActivationOpGrad)
REGISTER_OP(tanh, ops::ActivationWithMKLDNNOp, ops::TanhOpMaker, tanh_grad,
ops::ActivationWithMKLDNNOpGrad);
REGISTER_OP(tanh_shrink, ops::ActivationOp, ops::TanhShrinkOpMaker,
tanh_shrink_grad, ops::ActivationOpGrad);
REGISTER_OP(softshrink, ops::ActivationOp, ops::SoftShrinkOpMaker,
softshrink_grad, ops::ActivationOpGrad);
REGISTER_OP(sqrt, ops::ActivationWithMKLDNNOp, ops::SqrtOpMaker, sqrt_grad,
ops::ActivationWithMKLDNNOpGrad);
REGISTER_OP(abs, ops::ActivationWithMKLDNNOp, ops::AbsOpMaker, abs_grad,
ops::ActivationWithMKLDNNOpGrad);
REGISTER_OP(ceil, ops::ActivationOp, ops::CeilOpMaker, ceil_grad,
ops::ActivationOpGrad);
REGISTER_OP(floor, ops::ActivationOp, ops::FloorOpMaker, floor_grad,
ops::ActivationOpGrad);
REGISTER_OP(cos, ops::ActivationOp, ops::CosOpMaker, cos_grad,
ops::ActivationOpGrad);
REGISTER_OP(sin, ops::ActivationOp, ops::SinOpMaker, sin_grad,
ops::ActivationOpGrad);
REGISTER_OP(round, ops::ActivationOp, ops::RoundOpMaker, round_grad,
ops::ActivationOpGrad);
REGISTER_OP(reciprocal, ops::ActivationOp, ops::ReciprocalOpMaker,
reciprocal_grad, ops::ActivationOpGrad);
REGISTER_OP(log, ops::ActivationOp, ops::LogOpMaker, log_grad,
ops::ActivationOpGrad);
REGISTER_OP(square, ops::ActivationOp, ops::SquareOpMaker, square_grad,
ops::ActivationOpGrad);
REGISTER_OP(softplus, ops::ActivationOp, ops::SoftplusOpMaker, softplus_grad,
ops::ActivationOpGrad);
REGISTER_OP(softsign, ops::ActivationOp, ops::SoftsignOpMaker, softsign_grad,
ops::ActivationOpGrad);
REGISTER_OP(brelu, ops::ActivationOp, ops::BReluOpMaker, brelu_grad,
ops::ActivationOpGrad);
REGISTER_OP(leaky_relu, ops::ActivationOp, ops::LeakyReluOpMaker,
leaky_relu_grad, ops::ActivationOpGrad);
REGISTER_OP(soft_relu, ops::ActivationOp, ops::SoftReluOpMaker, soft_relu_grad,
ops::ActivationOpGrad);
REGISTER_OP(elu, ops::ActivationOp, ops::ELUOpMaker, elu_grad,
ops::ActivationOpGrad);
REGISTER_OP(relu6, ops::ActivationOp, ops::Relu6OpMaker, relu6_grad,
ops::ActivationOpGrad);
REGISTER_OP(pow, ops::ActivationOp, ops::PowOpMaker, pow_grad,
ops::ActivationOpGrad);
REGISTER_OP(stanh, ops::ActivationOp, ops::STanhOpMaker, stanh_grad,
ops::ActivationOpGrad);
REGISTER_OP(hard_shrink, ops::ActivationOp, ops::HardShrinkOpMaker,
hard_shrink_grad, ops::ActivationOpGrad);
REGISTER_OP(thresholded_relu, ops::ActivationOp, ops::ThresholdedReluOpMaker,
thresholded_relu_grad, ops::ActivationOpGrad);
REGISTER_OP(hard_sigmoid, ops::ActivationOp, ops::HardSigmoidOpMaker,
hard_sigmoid_grad, ops::ActivationOpGrad);
REGISTER_OP(swish, ops::ActivationOp, ops::SwishOpMaker, swish_grad,
ops::ActivationOpGrad);
REGISTER_OPERATOR(thresholded_relu, ops::ActivationOp,
ops::ThresholdedReluOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(thresholded_relu_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(hard_sigmoid, ops::ActivationOp, ops::HardSigmoidOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(hard_sigmoid_grad, ops::ActivationOpGrad)
REGISTER_OPERATOR(swish, ops::ActivationOp, ops::SwishOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(swish_grad, ops::ActivationOpGrad)
#define REGISTER_ACTIVATION_CPU_KERNEL(act_type, functor, grad_functor) \
REGISTER_OP_CPU_KERNEL( \
......
paddle/fluid/operators/bilinear_tensor_product_op.cc
浏览文件 @ d84cdb7b
......@@ -153,9 +153,11 @@ class BilinearTensorProductOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(bilinear_tensor_product, ops::BilinearTensorProductOp,
ops::BilinearTensorProductOpMaker, bilinear_tensor_product_grad,
ops::BilinearTensorProductOpGrad);
REGISTER_OPERATOR(bilinear_tensor_product, ops::BilinearTensorProductOp,
ops::BilinearTensorProductOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(bilinear_tensor_product_grad,
ops::BilinearTensorProductOpGrad)
REGISTER_OP_CPU_KERNEL(
bilinear_tensor_product,
ops::BilinearTensorProductKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/clip_op.cc
浏览文件 @ d84cdb7b
......@@ -81,8 +81,9 @@ class ClipOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(clip, ops::ClipOp, ops::ClipOpMaker<float>, clip_grad,
ops::ClipOpGrad);
REGISTER_OPERATOR(clip, ops::ClipOp, ops::ClipOpMaker<float>,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(clip_grad, ops::ClipOpGrad)
REGISTER_OP_CPU_KERNEL(
clip, ops::ClipKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/concat_op.cc
浏览文件 @ d84cdb7b
......@@ -103,8 +103,10 @@ class ConcatOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP_EX(concat, ops::ConcatOp, ops::ConcatOpMaker, concat_grad,
ops::ConcatOpGrad, false)
REGISTER_OPERATOR(concat, ops::ConcatOp, ops::ConcatOpMaker,
paddle::framework::DefaultGradOpDescMaker<
false> /* set false to disable empty grad */)
REGISTER_OPERATOR(concat_grad, ops::ConcatOpGrad)
REGISTER_OP_CPU_KERNEL(
concat, ops::ConcatKernel<paddle::platform::CPUDeviceContext, float>)
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/conv_op.cc
浏览文件 @ d84cdb7b
......@@ -335,14 +335,17 @@ framework::OpKernelType ConvOpGrad::GetExpectedKernelType(
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(conv2d, ops::ConvOp, ops::Conv2DOpMaker, conv2d_grad,
ops::ConvOpGrad);
REGISTER_OPERATOR(conv2d, ops::ConvOp, ops::Conv2DOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(conv2d_grad, ops::ConvOpGrad)
// depthwise convolution op
REGISTER_OP(depthwise_conv2d, ops::ConvOp, ops::Conv2DOpMaker,
depthwise_conv2d_grad, ops::ConvOpGrad);
REGISTER_OP(conv3d, ops::ConvOp, ops::Conv3DOpMaker, conv3d_grad,
ops::ConvOpGrad);
REGISTER_OPERATOR(depthwise_conv2d, ops::ConvOp, ops::Conv2DOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(depthwise_conv2d_grad, ops::ConvOpGrad)
REGISTER_OPERATOR(conv3d, ops::ConvOp, ops::Conv3DOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(conv3d_grad, ops::ConvOpGrad)
// depthwise conv kernel
// TODO(xingzhaolong): neon kernel for mobile
......
paddle/fluid/operators/conv_shift_op.cc
浏览文件 @ d84cdb7b
......@@ -193,8 +193,9 @@ class ConvShiftGradKernel<platform::CPUPlace, T>
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(conv_shift, ops::ConvShiftOp, ops::ConvShiftOpMaker,
conv_shift_grad, ops::ConvShiftGradOp);
REGISTER_OPERATOR(conv_shift, ops::ConvShiftOp, ops::ConvShiftOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(conv_shift_grad, ops::ConvShiftGradOp)
REGISTER_OP_CPU_KERNEL(conv_shift,
ops::ConvShiftKernel<paddle::platform::CPUPlace, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/conv_transpose_op.cc
浏览文件 @ d84cdb7b
......@@ -298,8 +298,10 @@ framework::OpKernelType ConvTransposeOpGrad::GetExpectedKernelType(
namespace ops = paddle::operators;
REGISTER_OP(conv2d_transpose, ops::ConvTransposeOp, ops::Conv2DTransposeOpMaker,
conv2d_transpose_grad, ops::ConvTransposeOpGrad);
REGISTER_OPERATOR(conv2d_transpose, ops::ConvTransposeOp,
ops::Conv2DTransposeOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(conv2d_transpose_grad, ops::ConvTransposeOpGrad)
REGISTER_OP_CPU_KERNEL(
conv2d_transpose,
......@@ -311,8 +313,10 @@ REGISTER_OP_CPU_KERNEL(
ops::GemmConvTransposeGradKernel<paddle::platform::CPUDeviceContext,
double>);
REGISTER_OP(conv3d_transpose, ops::ConvTransposeOp, ops::Conv3DTransposeOpMaker,
conv3d_transpose_grad, ops::ConvTransposeOpGrad);
REGISTER_OPERATOR(conv3d_transpose, ops::ConvTransposeOp,
ops::Conv3DTransposeOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(conv3d_transpose_grad, ops::ConvTransposeOpGrad)
REGISTER_OP_CPU_KERNEL(
conv3d_transpose,
......
paddle/fluid/operators/cos_sim_op.cc
浏览文件 @ d84cdb7b
......@@ -153,8 +153,9 @@ class CosSimOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(cos_sim, ops::CosSimOp, ops::CosSimOpMaker, cos_sim_grad,
ops::CosSimOpGrad);
REGISTER_OPERATOR(cos_sim, ops::CosSimOp, ops::CosSimOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(cos_sim_grad, ops::CosSimOpGrad)
REGISTER_OP_CPU_KERNEL(
cos_sim, ops::CosSimKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/crop_op.cc
浏览文件 @ d84cdb7b
......@@ -153,7 +153,9 @@ class CropOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(crop, ops::CropOp, ops::CropOpMaker, crop_grad, ops::CropOpGrad);
REGISTER_OPERATOR(crop, ops::CropOp, ops::CropOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>);
REGISTER_OPERATOR(crop_grad, ops::CropOpGrad);
REGISTER_OP_CPU_KERNEL(crop, ops::CropKernel<float>);
REGISTER_OP_CPU_KERNEL(
crop_grad, ops::CropGradKernel<paddle::platform::CPUDeviceContext, float>);
paddle/fluid/operators/cross_entropy_op.cc
浏览文件 @ d84cdb7b
......@@ -164,8 +164,9 @@ or not. But the output only shares the LoD information with input X.
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(cross_entropy, ops::CrossEntropyOp, ops::CrossEntropyOpMaker,
cross_entropy_grad, ops::CrossEntropyGradientOp);
REGISTER_OPERATOR(cross_entropy, ops::CrossEntropyOp, ops::CrossEntropyOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(cross_entropy_grad, ops::CrossEntropyGradientOp)
REGISTER_OP_CPU_KERNEL(cross_entropy, ops::CrossEntropyOpKernel<float>,
ops::CrossEntropyOpKernel<double>);
REGISTER_OP_CPU_KERNEL(cross_entropy_grad,
......
paddle/fluid/operators/dropout_op.cc
浏览文件 @ d84cdb7b
......@@ -101,8 +101,9 @@ class DropoutOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(dropout, ops::DropoutOp, ops::DropoutOpMaker, dropout_grad,
ops::DropoutOpGrad);
REGISTER_OPERATOR(dropout, ops::DropoutOp, ops::DropoutOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(dropout_grad, ops::DropoutOpGrad)
REGISTER_OP_CPU_KERNEL(
dropout, ops::CPUDropoutKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/elementwise_div_op.cc
浏览文件 @ d84cdb7b
......@@ -30,8 +30,10 @@ class ElementwiseDivOpMaker : public ElementwiseOpMaker {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(elementwise_div, ops::ElementwiseOp, ops::ElementwiseDivOpMaker,
elementwise_div_grad, ops::ElementwiseOpGrad);
REGISTER_OPERATOR(elementwise_div, ops::ElementwiseOp,
ops::ElementwiseDivOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(elementwise_div_grad, ops::ElementwiseOpGrad)
REGISTER_OP_CPU_KERNEL(
elementwise_div,
ops::ElementwiseDivKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/elementwise_max_op.cc
浏览文件 @ d84cdb7b
......@@ -29,8 +29,10 @@ class ElementwiseMaxOpMaker : public ElementwiseOpMaker {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(elementwise_max, ops::ElementwiseOp, ops::ElementwiseMaxOpMaker,
elementwise_max_grad, ops::ElementwiseOpGrad);
REGISTER_OPERATOR(elementwise_max, ops::ElementwiseOp,
ops::ElementwiseMaxOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(elementwise_max_grad, ops::ElementwiseOpGrad)
REGISTER_OP_CPU_KERNEL(
elementwise_max,
ops::ElementwiseMaxKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/elementwise_min_op.cc
浏览文件 @ d84cdb7b
......@@ -29,8 +29,10 @@ class ElementwiseMinOpMaker : public ElementwiseOpMaker {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(elementwise_min, ops::ElementwiseOp, ops::ElementwiseMinOpMaker,
elementwise_min_grad, ops::ElementwiseOpGrad);
REGISTER_OPERATOR(elementwise_min, ops::ElementwiseOp,
ops::ElementwiseMinOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(elementwise_min_grad, ops::ElementwiseOpGrad)
REGISTER_OP_CPU_KERNEL(
elementwise_min,
ops::ElementwiseMinKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/elementwise_mul_op.cc
浏览文件 @ d84cdb7b
......@@ -31,8 +31,10 @@ class ElementwiseMulOpMaker : public ElementwiseOpMaker {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(elementwise_mul, ops::ElementwiseOp, ops::ElementwiseMulOpMaker,
elementwise_mul_grad, ops::ElementwiseOpGrad);
REGISTER_OPERATOR(elementwise_mul, ops::ElementwiseOp,
ops::ElementwiseMulOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(elementwise_mul_grad, ops::ElementwiseOpGrad)
REGISTER_OP_CPU_KERNEL(
elementwise_mul,
ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/elementwise_sub_op.cc
浏览文件 @ d84cdb7b
......@@ -29,8 +29,10 @@ class ElementwiseSubOpMaker : public ElementwiseOpMaker {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(elementwise_sub, ops::ElementwiseOp, ops::ElementwiseSubOpMaker,
elementwise_sub_grad, ops::ElementwiseOpGrad);
REGISTER_OPERATOR(elementwise_sub, ops::ElementwiseOp,
ops::ElementwiseSubOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(elementwise_sub_grad, ops::ElementwiseOpGrad)
REGISTER_OP_CPU_KERNEL(
elementwise_sub,
ops::ElementwiseSubKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/expand_op.cc
浏览文件 @ d84cdb7b
......@@ -14,6 +14,8 @@ limitations under the License. */
#include "paddle/fluid/operators/expand_op.h"
#include <vector>
namespace paddle {
namespace operators {
......@@ -128,8 +130,9 @@ class ExpandGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(expand, ops::ExpandOp, ops::ExpandOpMaker, expand_grad,
ops::ExpandGradOp);
REGISTER_OPERATOR(expand, ops::ExpandOp, ops::ExpandOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(expand_grad, ops::ExpandGradOp)
REGISTER_OP_CPU_KERNEL(
expand, ops::ExpandKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/fc_op.cc
浏览文件 @ d84cdb7b
......@@ -98,5 +98,6 @@ FCOpMaker::FCOpMaker(OpProto* proto, OpAttrChecker* op_checker)
} // namespace operators
} // namespace paddle
REGISTER_OP(fc, paddle::operators::FCOp, paddle::operators::FCOpMaker, fc_grad,
paddle::operators::FCOpGrad);
REGISTER_OPERATOR(fc, paddle::operators::FCOp, paddle::operators::FCOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(fc_grad, paddle::operators::FCOpGrad)
paddle/fluid/operators/gather_op.cc
浏览文件 @ d84cdb7b
......@@ -100,7 +100,8 @@ Out = [[3, 4],
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(gather, ops::GatherOp, ops::GatherOpMaker, gather_grad,
ops::GatherGradOp);
REGISTER_OPERATOR(gather, ops::GatherOp, ops::GatherOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(gather_grad, ops::GatherGradOp)
REGISTER_OP_CPU_KERNEL(gather, ops::GatherOpKernel<float>);
REGISTER_OP_CPU_KERNEL(gather_grad, ops::GatherGradientOpKernel<float>);
paddle/fluid/operators/gru_op.cc
浏览文件 @ d84cdb7b
......@@ -216,7 +216,9 @@ class GRUGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(gru, ops::GRUOp, ops::GRUOpMaker, gru_grad, ops::GRUGradOp);
REGISTER_OPERATOR(gru, ops::GRUOp, ops::GRUOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(gru_grad, ops::GRUGradOp)
REGISTER_OP_CPU_KERNEL(
gru, ops::GRUKernel<paddle::platform::CPUDeviceContext, float>,
ops::GRUKernel<paddle::platform::CPUDeviceContext, double>);
......
paddle/fluid/operators/gru_unit_op.cc
浏览文件 @ d84cdb7b
......@@ -198,8 +198,9 @@ class GRUUnitGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(gru_unit, ops::GRUUnitOp, ops::GRUUnitOpMaker, gru_unit_grad,
ops::GRUUnitGradOp);
REGISTER_OPERATOR(gru_unit, ops::GRUUnitOp, ops::GRUUnitOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(gru_unit_grad, ops::GRUUnitGradOp)
REGISTER_OP_CPU_KERNEL(
gru_unit, ops::GRUUnitKernel<paddle::platform::CPUDeviceContext, float>,
ops::GRUUnitKernel<paddle::platform::CPUDeviceContext, double>);
......
paddle/fluid/operators/hinge_loss_op.cc
浏览文件 @ d84cdb7b
......@@ -103,8 +103,9 @@ class HingeLossGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(hinge_loss, ops::HingeLossOp, ops::HingeLossOpMaker<float>,
hinge_loss_grad, ops::HingeLossGradOp);
REGISTER_OPERATOR(hinge_loss, ops::HingeLossOp, ops::HingeLossOpMaker<float>,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(hinge_loss_grad, ops::HingeLossGradOp)
REGISTER_OP_CPU_KERNEL(
hinge_loss,
ops::HingeLossKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/huber_loss_op.cc
浏览文件 @ d84cdb7b
......@@ -121,8 +121,9 @@ class HuberLossGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(huber_loss, ops::HuberLossOp, ops::HuberLossOpMaker<float>,
huber_loss_grad, ops::HuberLossGradOp);
REGISTER_OPERATOR(huber_loss, ops::HuberLossOp, ops::HuberLossOpMaker<float>,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(huber_loss_grad, ops::HuberLossGradOp)
REGISTER_OP_CPU_KERNEL(
huber_loss,
ops::HuberLossKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/im2sequence_op.cc
浏览文件 @ d84cdb7b
......@@ -148,8 +148,9 @@ class Im2SequenceGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(im2sequence, ops::Im2SequenceOp, ops::Im2SequenceOpMaker,
im2sequence_grad, ops::Im2SequenceGradOp);
REGISTER_OPERATOR(im2sequence, ops::Im2SequenceOp, ops::Im2SequenceOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(im2sequence_grad, ops::Im2SequenceGradOp)
REGISTER_OP_CPU_KERNEL(
im2sequence,
ops::Im2SequenceKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/l1_norm_op.cc
浏览文件 @ d84cdb7b
......@@ -67,8 +67,9 @@ $$Out = \sum{|X|}$$
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(l1_norm, ops::L1NormOp, ops::L1NormOpMaker, l1_norm_grad,
ops::L1NormGradOp);
REGISTER_OPERATOR(l1_norm, ops::L1NormOp, ops::L1NormOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(l1_norm_grad, ops::L1NormGradOp)
REGISTER_OP_CPU_KERNEL(
l1_norm, ops::L1NormKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/label_smooth_op.cc
浏览文件 @ d84cdb7b
......@@ -117,8 +117,9 @@ class LabelSmoothGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(label_smooth, ops::LabelSmoothOp, ops::LabelSmoothOpMaker,
label_smooth_grad, ops::LabelSmoothGradOp);
REGISTER_OPERATOR(label_smooth, ops::LabelSmoothOp, ops::LabelSmoothOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(label_smooth_grad, ops::LabelSmoothGradOp)
REGISTER_OP_CPU_KERNEL(
label_smooth,
ops::LabelSmoothKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/layer_norm_op.cc
浏览文件 @ d84cdb7b
......@@ -162,8 +162,9 @@ class LayerNormGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(layer_norm, ops::LayerNormOp, ops::LayerNormOpMaker,
layer_norm_grad, ops::LayerNormGradOp);
REGISTER_OPERATOR(layer_norm, ops::LayerNormOp, ops::LayerNormOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(layer_norm_grad, ops::LayerNormGradOp)
REGISTER_OP_CPU_KERNEL(
layer_norm, ops::LayerNormKernel<paddle::platform::CPUDeviceContext, float>,
ops::LayerNormKernel<paddle::platform::CPUDeviceContext, double>);
......
paddle/fluid/operators/linear_chain_crf_op.cc
浏览文件 @ d84cdb7b
......@@ -256,8 +256,10 @@ class LinearChainCRFGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(linear_chain_crf, ops::LinearChainCRFOp, ops::LinearChainCRFOpMaker,
linear_chain_crf_grad, ops::LinearChainCRFGradOp);
REGISTER_OPERATOR(linear_chain_crf, ops::LinearChainCRFOp,
ops::LinearChainCRFOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(linear_chain_crf_grad, ops::LinearChainCRFGradOp)
REGISTER_OP_CPU_KERNEL(
linear_chain_crf,
ops::LinearChainCRFOpKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/lod_reset_op.cc
浏览文件 @ d84cdb7b
......@@ -155,8 +155,9 @@ class LoDResetGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(lod_reset, ops::LoDResetOp, ops::LoDResetOpMaker, lod_reset_grad,
ops::LoDResetGradOp);
REGISTER_OPERATOR(lod_reset, ops::LoDResetOp, ops::LoDResetOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(lod_reset_grad, ops::LoDResetGradOp)
REGISTER_OP_CPU_KERNEL(
lod_reset, ops::LoDResetKernel<paddle::platform::CPUPlace, float>,
ops::LoDResetKernel<paddle::platform::CPUPlace, double>,
......
paddle/fluid/operators/log_loss_op.cc
浏览文件 @ d84cdb7b
......@@ -106,8 +106,9 @@ class LogLossGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(log_loss, ops::LogLossOp, ops::LogLossOpMaker<float>, log_loss_grad,
ops::LogLossGradOp);
REGISTER_OPERATOR(log_loss, ops::LogLossOp, ops::LogLossOpMaker<float>,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(log_loss_grad, ops::LogLossGradOp)
REGISTER_OP_CPU_KERNEL(
log_loss, ops::LogLossKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/lrn_op.cc
浏览文件 @ d84cdb7b
......@@ -276,7 +276,9 @@ class LRNOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(lrn, ops::LRNOp, ops::LRNOpMaker<float>, lrn_grad, ops::LRNOpGrad);
REGISTER_OPERATOR(lrn, ops::LRNOp, ops::LRNOpMaker<float>,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(lrn_grad, ops::LRNOpGrad)
REGISTER_OP_CPU_KERNEL(
lrn, ops::LRNKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/lstm_op.cc
浏览文件 @ d84cdb7b
......@@ -273,7 +273,9 @@ class LSTMGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(lstm, ops::LSTMOp, ops::LSTMOpMaker, lstm_grad, ops::LSTMGradOp);
REGISTER_OPERATOR(lstm, ops::LSTMOp, ops::LSTMOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(lstm_grad, ops::LSTMGradOp)
REGISTER_OP_CPU_KERNEL(
lstm, ops::LSTMKernel<paddle::platform::CPUDeviceContext, float>,
ops::LSTMKernel<paddle::platform::CPUDeviceContext, double>);
......
paddle/fluid/operators/lstm_unit_op.cc
浏览文件 @ d84cdb7b
......@@ -97,8 +97,9 @@ class LstmUnitGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(lstm_unit, ops::LstmUnitOp, ops::LstmUnitOpMaker, lstm_unit_grad,
ops::LstmUnitGradOp);
REGISTER_OPERATOR(lstm_unit, ops::LstmUnitOp, ops::LstmUnitOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(lstm_unit_grad, ops::LstmUnitGradOp)
REGISTER_OP_CPU_KERNEL(lstm_unit,
ops::LstmUnitKernel<paddle::platform::CPUPlace, float>,
ops::LstmUnitKernel<paddle::platform::CPUPlace, double>);
......
paddle/fluid/operators/lstmp_op.cc
浏览文件 @ d84cdb7b
......@@ -322,8 +322,9 @@ class LSTMPGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(lstmp, ops::LSTMPOp, ops::LSTMPOpMaker, lstmp_grad,
ops::LSTMPGradOp);
REGISTER_OPERATOR(lstmp, ops::LSTMPOp, ops::LSTMPOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(lstmp_grad, ops::LSTMPGradOp)
REGISTER_OP_CPU_KERNEL(
lstmp, ops::LSTMPKernel<paddle::platform::CPUDeviceContext, float>,
ops::LSTMPKernel<paddle::platform::CPUDeviceContext, double>);
......
paddle/fluid/operators/margin_rank_loss_op.cc
浏览文件 @ d84cdb7b
......@@ -111,9 +111,10 @@ class MarginRankLossGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(margin_rank_loss, ops::MarginRankLossOp,
ops::MarginRankLossOpMaker<float>, margin_rank_loss_grad,
ops::MarginRankLossGradOp);
REGISTER_OPERATOR(margin_rank_loss, ops::MarginRankLossOp,
ops::MarginRankLossOpMaker<float>,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(margin_rank_loss_grad, ops::MarginRankLossGradOp)
REGISTER_OP_CPU_KERNEL(
margin_rank_loss,
ops::MarginRankLossKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/matmul_op.cc
浏览文件 @ d84cdb7b
......@@ -237,8 +237,9 @@ class MatMulOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(matmul, ops::MatMulOp, ops::MatMulOpMaker, matmul_grad,
ops::MatMulOpGrad);
REGISTER_OPERATOR(matmul, ops::MatMulOp, ops::MatMulOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(matmul_grad, ops::MatMulOpGrad)
REGISTER_OP_CPU_KERNEL(
matmul, ops::MatMulKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/maxout_op.cc
浏览文件 @ d84cdb7b
......@@ -101,8 +101,9 @@ class MaxOutOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(maxout, ops::MaxOutOp, ops::MaxOutOpMaker, maxout_grad,
ops::MaxOutOpGrad);
REGISTER_OPERATOR(maxout, ops::MaxOutOp, ops::MaxOutOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(maxout_grad, ops::MaxOutOpGrad)
REGISTER_OP_CPU_KERNEL(
maxout, ops::MaxOutKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/modified_huber_loss_op.cc
浏览文件 @ d84cdb7b
......@@ -108,9 +108,10 @@ class ModifiedHuberLossGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(modified_huber_loss, ops::ModifiedHuberLossOp,
ops::ModifiedHuberLossOpMaker, modified_huber_loss_grad,
ops::ModifiedHuberLossGradOp);
REGISTER_OPERATOR(modified_huber_loss, ops::ModifiedHuberLossOp,
ops::ModifiedHuberLossOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(modified_huber_loss_grad, ops::ModifiedHuberLossGradOp)
REGISTER_OP_CPU_KERNEL(
modified_huber_loss,
......
paddle/fluid/operators/mul_op.cc
浏览文件 @ d84cdb7b
......@@ -160,7 +160,9 @@ class MulGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(mul, ops::MulOp, ops::MulOpMaker, mul_grad, ops::MulGradOp);
REGISTER_OPERATOR(mul, ops::MulOp, ops::MulOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(mul_grad, ops::MulGradOp)
REGISTER_OP_CPU_KERNEL(
mul, ops::MulKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/nce_op.cc
浏览文件 @ d84cdb7b
......@@ -14,6 +14,8 @@ limitations under the License. */
#include "paddle/fluid/operators/nce_op.h"
#include <vector>
namespace paddle {
namespace operators {
......@@ -179,7 +181,9 @@ class NCEOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(nce, ops::NCEOp, ops::NCEOpMaker, nce_grad, ops::NCEOpGrad);
REGISTER_OPERATOR(nce, ops::NCEOp, ops::NCEOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(nce_grad, ops::NCEOpGrad)
REGISTER_OP_CPU_KERNEL(nce, ops::NCEKernel<paddle::platform::CPUPlace, float>,
ops::NCEKernel<paddle::platform::CPUPlace, double>);
REGISTER_OP_CPU_KERNEL(nce_grad,
......
paddle/fluid/operators/norm_op.cc
浏览文件 @ d84cdb7b
......@@ -85,8 +85,9 @@ class NormOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(norm, ops::NormOp, ops::NormOpMaker<float>, norm_grad,
ops::NormOpGrad);
REGISTER_OPERATOR(norm, ops::NormOp, ops::NormOpMaker<float>,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(norm_grad, ops::NormOpGrad)
REGISTER_OP_CPU_KERNEL(
norm, ops::NormKernel<paddle::platform::CPUDeviceContext, float>,
ops::NormKernel<paddle::platform::CPUDeviceContext, double, float>);
......
paddle/fluid/operators/pool_op.cc
浏览文件 @ d84cdb7b
......@@ -333,8 +333,9 @@ Example:
namespace ops = paddle::operators;
REGISTER_OP(pool2d, ops::PoolOp, ops::Pool2dOpMaker, pool2d_grad,
ops::PoolOpGrad);
REGISTER_OPERATOR(pool2d, ops::PoolOp, ops::Pool2dOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(pool2d_grad, ops::PoolOpGrad)
REGISTER_OP_CPU_KERNEL(
pool2d, ops::PoolKernel<paddle::platform::CPUDeviceContext, float>,
......@@ -343,8 +344,9 @@ REGISTER_OP_CPU_KERNEL(
pool2d_grad, ops::PoolGradKernel<paddle::platform::CPUDeviceContext, float>,
ops::PoolGradKernel<paddle::platform::CPUDeviceContext, double>)
REGISTER_OP(pool3d, ops::PoolOp, ops::Pool3dOpMaker, pool3d_grad,
ops::PoolOpGrad);
REGISTER_OPERATOR(pool3d, ops::PoolOp, ops::Pool3dOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(pool3d_grad, ops::PoolOpGrad)
REGISTER_OP_CPU_KERNEL(
pool3d, ops::PoolKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/pool_with_index_op.cc
浏览文件 @ d84cdb7b
......@@ -258,9 +258,10 @@ Example:
namespace ops = paddle::operators;
REGISTER_OP(max_pool2d_with_index, ops::MaxPoolWithIndexOp,
ops::MaxPool2dWithIndexOpMaker, max_pool2d_with_index_grad,
ops::MaxPoolWithIndexOpGrad);
REGISTER_OPERATOR(max_pool2d_with_index, ops::MaxPoolWithIndexOp,
ops::MaxPool2dWithIndexOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(max_pool2d_with_index_grad, ops::MaxPoolWithIndexOpGrad)
REGISTER_OP_CPU_KERNEL(
max_pool2d_with_index,
......@@ -274,9 +275,10 @@ REGISTER_OP_CPU_KERNEL(
ops::MaxPoolWithIndexGradKernel<paddle::platform::CPUDeviceContext, double,
int>)
REGISTER_OP(max_pool3d_with_index, ops::MaxPoolWithIndexOp,
ops::MaxPool3dWithIndexOpMaker, max_pool3d_with_index_grad,
ops::MaxPoolWithIndexOpGrad);
REGISTER_OPERATOR(max_pool3d_with_index, ops::MaxPoolWithIndexOp,
ops::MaxPool3dWithIndexOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(max_pool3d_with_index_grad, ops::MaxPoolWithIndexOpGrad)
REGISTER_OP_CPU_KERNEL(
max_pool3d_with_index,
......
paddle/fluid/operators/prelu_op.cc
浏览文件 @ d84cdb7b
......@@ -83,8 +83,9 @@ class PReluGradOp : public framework::OperatorWithKernel {
namespace ops = paddle::operators;
REGISTER_OP(prelu, ops::PReluOp, ops::PReluOpMaker, prelu_grad,
ops::PReluGradOp);
REGISTER_OPERATOR(prelu, ops::PReluOp, ops::PReluOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(prelu_grad, ops::PReluGradOp)
REGISTER_OP_CPU_KERNEL(
prelu, ops::PReluKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/rank_loss_op.cc
浏览文件 @ d84cdb7b
......@@ -121,8 +121,9 @@ class RankLossGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(rank_loss, ops::RankLossOp, ops::RankLossOpMaker, rank_loss_grad,
ops::RankLossGradOp);
REGISTER_OPERATOR(rank_loss, ops::RankLossOp, ops::RankLossOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(rank_loss_grad, ops::RankLossGradOp)
REGISTER_OP_CPU_KERNEL(
rank_loss, ops::RankLossKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/reduce_op.cc
浏览文件 @ d84cdb7b
......@@ -14,6 +14,9 @@ limitations under the License. */
#include "paddle/fluid/operators/reduce_op.h"
#include <string>
#include <vector>
namespace paddle {
namespace operators {
......@@ -122,18 +125,18 @@ If reduce_all is true, just reduce along all dimensions and output a scalar.
protected:
std::string comment_;
void Replace(std::string &src, std::string from, std::string to) {
void Replace(std::string *src, std::string from, std::string to) {
std::size_t len_from = std::strlen(from.c_str());
std::size_t len_to = std::strlen(to.c_str());
for (std::size_t pos = src.find(from); pos != std::string::npos;
pos = src.find(from, pos + len_to)) {
src.replace(pos, len_from, to);
for (std::size_t pos = src->find(from); pos != std::string::npos;
pos = src->find(from, pos + len_to)) {
src->replace(pos, len_from, to);
}
}
void SetComment(std::string name, std::string op) {
Replace(comment_, "{ReduceOp}", name);
Replace(comment_, "{reduce}", op);
Replace(&comment_, "{ReduceOp}", name);
Replace(&comment_, "{reduce}", op);
}
};
......@@ -187,20 +190,25 @@ class ReduceProdOpMaker : public ReduceOpMaker {
namespace ops = paddle::operators;
REGISTER_OP(reduce_sum, ops::ReduceOp, ops::ReduceSumOpMaker, reduce_sum_grad,
ops::ReduceGradOp);
REGISTER_OPERATOR(reduce_sum, ops::ReduceOp, ops::ReduceSumOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(reduce_sum_grad, ops::ReduceGradOp)
REGISTER_OP(reduce_mean, ops::ReduceOp, ops::ReduceMeanOpMaker,
reduce_mean_grad, ops::ReduceGradOp);
REGISTER_OPERATOR(reduce_mean, ops::ReduceOp, ops::ReduceMeanOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(reduce_mean_grad, ops::ReduceGradOp)
REGISTER_OP(reduce_max, ops::ReduceOp, ops::ReduceMaxOpMaker, reduce_max_grad,
ops::ReduceGradOp);
REGISTER_OPERATOR(reduce_max, ops::ReduceOp, ops::ReduceMaxOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(reduce_max_grad, ops::ReduceGradOp)
REGISTER_OP(reduce_min, ops::ReduceOp, ops::ReduceMinOpMaker, reduce_min_grad,
ops::ReduceGradOp);
REGISTER_OPERATOR(reduce_min, ops::ReduceOp, ops::ReduceMinOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(reduce_min_grad, ops::ReduceGradOp)
REGISTER_OP(reduce_prod, ops::ReduceOp, ops::ReduceProdOpMaker,
reduce_prod_grad, ops::ReduceGradOp);
REGISTER_OPERATOR(reduce_prod, ops::ReduceOp, ops::ReduceProdOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(reduce_prod_grad, ops::ReduceGradOp)
#define REGISTER_REDUCE_CPU_KERNEL(reduce_type, functor, grad_functor) \
REGISTER_OP_CPU_KERNEL(reduce_type, \
......
paddle/fluid/operators/reshape_op.cc
浏览文件 @ d84cdb7b
......@@ -113,8 +113,9 @@ class ReshapeGradOp : public framework::OperatorWithKernel {
namespace ops = paddle::operators;
using CPU = paddle::platform::CPUDeviceContext;
REGISTER_OP(reshape, ops::ReshapeOp, ops::ReshapeOpMaker, reshape_grad,
ops::ReshapeGradOp);
REGISTER_OPERATOR(reshape, ops::ReshapeOp, ops::ReshapeOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(reshape_grad, ops::ReshapeGradOp)
REGISTER_OP_CPU_KERNEL(reshape, ops::ReshapeKernel<CPU, float>,
ops::ReshapeKernel<CPU, double>,
ops::ReshapeKernel<CPU, int>,
......
paddle/fluid/operators/roi_pool_op.cc
浏览文件 @ d84cdb7b
......@@ -153,8 +153,9 @@ https://stackoverflow.com/questions/43430056/what-is-roi-layer-in-fast-rcnn
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(roi_pool, ops::ROIPoolOp, ops::ROIPoolOpMaker, roi_pool_grad,
ops::ROIPoolGradOp);
REGISTER_OPERATOR(roi_pool, ops::ROIPoolOp, ops::ROIPoolOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(roi_pool_grad, ops::ROIPoolGradOp)
REGISTER_OP_CPU_KERNEL(
roi_pool,
ops::CPUROIPoolOpKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/row_conv_op.cc
浏览文件 @ d84cdb7b
......@@ -250,8 +250,9 @@ class RowConvGradKernel<platform::CPUDeviceContext, T>
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(row_conv, ops::RowConvOp, ops::RowConvOpMaker, row_conv_grad,
ops::RowConvGradOp);
REGISTER_OPERATOR(row_conv, ops::RowConvOp, ops::RowConvOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(row_conv_grad, ops::RowConvGradOp)
REGISTER_OP_CPU_KERNEL(
row_conv, ops::RowConvKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/scatter_op.cc
浏览文件 @ d84cdb7b
......@@ -102,7 +102,8 @@ $$
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(scatter, ops::ScatterOp, ops::ScatterOpMaker, scatter_grad,
ops::ScatterGradOp);
REGISTER_OPERATOR(scatter, ops::ScatterOp, ops::ScatterOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(scatter_grad, ops::ScatterGradOp)
REGISTER_OP_CPU_KERNEL(scatter, ops::ScatterOpKernel<float>);
REGISTER_OP_CPU_KERNEL(scatter_grad, ops::ScatterGradientOpKernel<float>);
paddle/fluid/operators/sequence_concat_op.cc
浏览文件 @ d84cdb7b
......@@ -124,9 +124,11 @@ class SequenceConcatGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP_EX(sequence_concat, ops::SequenceConcatOp,
ops::SequenceConcatOpMaker, sequence_concat_grad,
ops::SequenceConcatGradOp, false);
REGISTER_OPERATOR(sequence_concat, ops::SequenceConcatOp,
ops::SequenceConcatOpMaker,
paddle::framework::DefaultGradOpDescMaker<
false> /* set false to disable empty grad */)
REGISTER_OPERATOR(sequence_concat_grad, ops::SequenceConcatGradOp);
REGISTER_OP_CPU_KERNEL(
sequence_concat,
ops::SequenceConcatOpKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/sequence_conv_op.cc
浏览文件 @ d84cdb7b
......@@ -14,6 +14,8 @@ limitations under the License. */
#include "paddle/fluid/operators/sequence_conv_op.h"
#include <algorithm>
namespace paddle {
namespace operators {
......@@ -174,8 +176,9 @@ context_length, context_stride and context_start.
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(sequence_conv, ops::SequenceConvOp, ops::SequenceConvOpMaker,
sequence_conv_grad, ops::SequenceConvGradOp);
REGISTER_OPERATOR(sequence_conv, ops::SequenceConvOp, ops::SequenceConvOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(sequence_conv_grad, ops::SequenceConvGradOp)
REGISTER_OP_CPU_KERNEL(
sequence_conv,
......
paddle/fluid/operators/sequence_expand_op.cc
浏览文件 @ d84cdb7b
......@@ -200,8 +200,10 @@ class SequenceExpandOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(sequence_expand, ops::SequenceExpandOp, ops::SequenceExpandOpMaker,
sequence_expand_grad, ops::SequenceExpandOpGrad);
REGISTER_OPERATOR(sequence_expand, ops::SequenceExpandOp,
ops::SequenceExpandOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(sequence_expand_grad, ops::SequenceExpandOpGrad)
REGISTER_OP_CPU_KERNEL(
sequence_expand,
ops::SequenceExpandKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/sequence_slice_op.cc
浏览文件 @ d84cdb7b
......@@ -120,8 +120,10 @@ NOTE: The first dimension size of input, the size of offset and Length, should b
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(sequence_slice, ops::SequenceSliceOp, ops::SequenceSliceOpMaker,
sequence_slice_grad, ops::SequenceSliceGradOp);
REGISTER_OPERATOR(sequence_slice, ops::SequenceSliceOp,
ops::SequenceSliceOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(sequence_slice_grad, ops::SequenceSliceGradOp)
REGISTER_OP_CPU_KERNEL(
sequence_slice,
ops::SequenceSliceOpKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/sequence_softmax_op.cc
浏览文件 @ d84cdb7b
......@@ -155,9 +155,10 @@ class SequenceSoftmaxGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(sequence_softmax, ops::SequenceSoftmaxOp,
ops::SequenceSoftmaxOpMaker, sequence_softmax_grad,
ops::SequenceSoftmaxGradOp);
REGISTER_OPERATOR(sequence_softmax, ops::SequenceSoftmaxOp,
ops::SequenceSoftmaxOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(sequence_softmax_grad, ops::SequenceSoftmaxGradOp)
REGISTER_OP_CPU_KERNEL(
sequence_softmax,
ops::SequenceSoftmaxKernel<paddle::platform::CPUDeviceContext, float>,
......
paddle/fluid/operators/sigmoid_cross_entropy_with_logits_op.cc
浏览文件 @ d84cdb7b
......@@ -135,11 +135,12 @@ However the output only shares the LoD with input `X`.
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(sigmoid_cross_entropy_with_logits,
REGISTER_OPERATOR(sigmoid_cross_entropy_with_logits,
ops::SigmoidCrossEntropyWithLogitsOp,
ops::SigmoidCrossEntropyWithLogitsOpMaker,
sigmoid_cross_entropy_with_logits_grad,
ops::SigmoidCrossEntropyWithLogitsGradOp);
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(sigmoid_cross_entropy_with_logits_grad,
ops::SigmoidCrossEntropyWithLogitsGradOp)
REGISTER_OP_CPU_KERNEL(sigmoid_cross_entropy_with_logits,
ops::SigmoidCrossEntropyWithLogitsKernel<
paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/smooth_l1_loss_op.cc
浏览文件 @ d84cdb7b
......@@ -132,8 +132,9 @@ class SmoothL1LossGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(smooth_l1_loss, ops::SmoothL1LossOp, ops::SmoothL1LossOpMaker,
smooth_l1_loss_grad, ops::SmoothL1LossGradOp);
REGISTER_OPERATOR(smooth_l1_loss, ops::SmoothL1LossOp, ops::SmoothL1LossOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(smooth_l1_loss_grad, ops::SmoothL1LossGradOp)
REGISTER_OP_CPU_KERNEL(
smooth_l1_loss,
ops::SmoothL1LossKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/softmax_op.cc
浏览文件 @ d84cdb7b
......@@ -160,8 +160,9 @@ class SoftmaxOpGrad : public framework::OperatorWithKernel {
namespace ops = paddle::operators;
REGISTER_OP(softmax, ops::SoftmaxOp, ops::SoftmaxOpMaker, softmax_grad,
ops::SoftmaxOpGrad);
REGISTER_OPERATOR(softmax, ops::SoftmaxOp, ops::SoftmaxOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(softmax_grad, ops::SoftmaxOpGrad)
REGISTER_OP_CPU_KERNEL(
softmax, ops::SoftmaxKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/spp_op.cc
浏览文件 @ d84cdb7b
......@@ -92,7 +92,9 @@ class SppOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(spp, ops::SppOp, ops::SppOpMaker, spp_grad, ops::SppOpGrad);
REGISTER_OPERATOR(spp, ops::SppOp, ops::SppOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(spp_grad, ops::SppOpGrad)
REGISTER_OP_CPU_KERNEL(
spp, ops::SppKernel<paddle::platform::CPUDeviceContext, float>,
ops::SppKernel<paddle::platform::CPUDeviceContext, double>);
......
paddle/fluid/operators/squared_l2_distance_op.cc
浏览文件 @ d84cdb7b
......@@ -109,9 +109,10 @@ class SquaredL2DistanceGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(squared_l2_distance, ops::SquaredL2DistanceOp,
ops::SquaredL2DistanceOpMaker, squared_l2_distance_grad,
ops::SquaredL2DistanceGradOp);
REGISTER_OPERATOR(squared_l2_distance, ops::SquaredL2DistanceOp,
ops::SquaredL2DistanceOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(squared_l2_distance_grad, ops::SquaredL2DistanceGradOp)
REGISTER_OP_CPU_KERNEL(
squared_l2_distance,
ops::SquaredL2DistanceKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/squared_l2_norm_op.cc
浏览文件 @ d84cdb7b
......@@ -67,8 +67,10 @@ $$Out = \sum_{i} X_{i}^2$$
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(squared_l2_norm, ops::SquaredL2NormOp, ops::SquaredL2NormOpMaker,
squared_l2_norm_grad, ops::SquaredL2NormGradOp);
REGISTER_OPERATOR(squared_l2_norm, ops::SquaredL2NormOp,
ops::SquaredL2NormOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(squared_l2_norm_grad, ops::SquaredL2NormGradOp)
REGISTER_OP_CPU_KERNEL(
squared_l2_norm,
ops::SquaredL2NormKernel<paddle::platform::CPUDeviceContext, float>);
......
paddle/fluid/operators/transpose_op.cc
浏览文件 @ d84cdb7b
......@@ -118,8 +118,9 @@ class TransposeOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(transpose, ops::TransposeOp, ops::TransposeOpMaker, transpose_grad,
ops::TransposeOpGrad);
REGISTER_OPERATOR(transpose, ops::TransposeOp, ops::TransposeOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(transpose_grad, ops::TransposeOpGrad)
REGISTER_OP_CPU_KERNEL(
transpose, ops::TransposeKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
paddle/fluid/operators/unpool_op.cc
浏览文件 @ d84cdb7b
......@@ -132,8 +132,9 @@ class UnpoolOpGrad : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(unpool, ops::UnpoolOp, ops::Unpool2dOpMaker, unpool_grad,
ops::UnpoolOpGrad);
REGISTER_OPERATOR(unpool, ops::UnpoolOp, ops::Unpool2dOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(unpool_grad, ops::UnpoolOpGrad)
REGISTER_OP_CPU_KERNEL(
unpool, ops::UnpoolKernel<paddle::platform::CPUDeviceContext, float>,
ops::UnpoolKernel<paddle::platform::CPUDeviceContext, double>);
......
paddle/fluid/operators/warpctc_op.cc
浏览文件 @ d84cdb7b
......@@ -132,8 +132,9 @@ class WarpCTCGradOp : public framework::OperatorWithKernel {
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP(warpctc, ops::WarpCTCOp, ops::WarpCTCOpMaker, warpctc_grad,
ops::WarpCTCGradOp);
REGISTER_OPERATOR(warpctc, ops::WarpCTCOp, ops::WarpCTCOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>)
REGISTER_OPERATOR(warpctc_grad, ops::WarpCTCGradOp)
REGISTER_OP_CPU_KERNEL(
warpctc, ops::WarpCTCKernel<paddle::platform::CPUDeviceContext, float>);
REGISTER_OP_CPU_KERNEL(
......
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