diff --git a/paddle/operators/CMakeLists.txt b/paddle/operators/CMakeLists.txt index 5085e1b92555eebd1c5a7af9bf9af99bc6c90333..c62c852b13dd2ea2c3d90053c0a6cd9be2687309 100644 --- a/paddle/operators/CMakeLists.txt +++ b/paddle/operators/CMakeLists.txt @@ -44,18 +44,24 @@ endfunction() op_library(add_op SRCS add_op.cc add_op.cu) cc_test(add_op_test SRCS add_op_test.cc DEPS add_op) +op_library(mean_op SRCS mean_op.cc mean_op.cu) +cc_test(mean_op_test SRCS mean_op_test.cc DEPS mean_op) + op_library(mul_op SRCS mul_op.cc mul_op.cu) op_library(rowwise_add_op SRCS rowwise_add_op.cu rowwise_add_op.cc) -op_library(sigmoid_op SRCS sigmoid_op.cu sigmoid_op.cc) + +op_library(sigmoid_op SRCS sigmoid_op.cc sigmoid_op.cu) op_library(softmax_op SRCS softmax_op.cc softmax_op.cu) op_library(cross_entropy_op SRCS cross_entropy_op.cc cross_entropy_op.cu) - -op_library(fc_op SRCS fc_op.cc DEPS mul_op rowwise_add_op sigmoid_op - softmax_op net) - op_library(sgd_op SRCS sgd_op.cc sgd_op.cu) -op_library(recurrent_network_op SRCS recurrent_network_op.cc DEPS op_desc -tensor op_registry operator net) -cc_test(recurrent_network_op_test SRCS recurrent_network_op_test.cc DEPS -recurrent_network_op gtest mul_op add_op) +op_library(fc_op + SRCS fc_op.cc + DEPS mul_op rowwise_add_op sigmoid_op softmax_op net) + +op_library(recurrent_network_op + SRCS recurrent_network_op.cc + DEPS op_desc tensor net) +cc_test(recurrent_network_op_test + SRCS recurrent_network_op_test.cc + DEPS recurrent_network_op mul_op add_op) diff --git a/paddle/operators/mean_op.cc b/paddle/operators/mean_op.cc new file mode 100644 index 0000000000000000000000000000000000000000..fc486a743554a11078a646d6af9c3ede642cae70 --- /dev/null +++ b/paddle/operators/mean_op.cc @@ -0,0 +1,46 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +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. */ + +#include "paddle/operators/mean_op.h" + +namespace paddle { +namespace operators { + +class MeanOp : public OperatorWithKernel { +protected: + void InferShape(const std::vector &inputs, + const std::vector &outputs) const override { + PADDLE_ENFORCE(inputs.size() == 1, "Input size of AddOp must be one"); + PADDLE_ENFORCE(outputs.size() == 1, "Output size of AddOp must be one"); + PADDLE_ENFORCE(inputs[0] != nullptr && outputs[0] != nullptr, + "Input/Output of MeanOp must be initialized."); + outputs[0]->Resize(framework::make_ddim({1})); + } +}; + +class MeanOpMaker : public OpProtoAndCheckerMaker { +public: + MeanOpMaker(OpProto *proto, OpAttrChecker *op_checker) + : OpProtoAndCheckerMaker(proto, op_checker) { + AddInput("X", "The input of mean op"); + AddOutput("Out", "The output of mean op"); + AddComment("Mean Operator"); + } +}; + +} // namespace operators +} // namespace paddle + +REGISTER_OP(mean, ops::MeanOp, ops::MeanOpMaker); +REGISTER_OP_CPU_KERNEL(mean, ops::MeanKernel); diff --git a/paddle/operators/mean_op.cu b/paddle/operators/mean_op.cu new file mode 100644 index 0000000000000000000000000000000000000000..4dbb566b1d769558c33584ff09e97bd3b7e229a8 --- /dev/null +++ b/paddle/operators/mean_op.cu @@ -0,0 +1,4 @@ +#include "paddle/framework/op_registry.h" +#include "paddle/operators/mean_op.h" + +REGISTER_OP_GPU_KERNEL(mean, ops::AddKernel); diff --git a/paddle/operators/mean_op.h b/paddle/operators/mean_op.h new file mode 100644 index 0000000000000000000000000000000000000000..21fa57964382062d66a7b7c736b0513af316f36a --- /dev/null +++ b/paddle/operators/mean_op.h @@ -0,0 +1,36 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +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. */ + +#pragma once +#include "paddle/operators/type_alias.h" + +namespace paddle { +namespace operators { + +template +class MeanKernel : public OpKernel { +public: + void Compute(const KernelContext& context) const override { + auto input = context.Input(0)->Get(); + auto output = context.Output(0)->GetMutable(); + + output->mutable_data(context.GetPlace()); + EigenVector::Flatten(*output).device( + *(context.GetEigenDevice())) = + EigenVector::Flatten(input).mean(); + } +}; + +} // namespace operators +} // namespace paddle diff --git a/paddle/operators/mean_op_test.cc b/paddle/operators/mean_op_test.cc new file mode 100644 index 0000000000000000000000000000000000000000..375dcd50e130355c60f82b9d39d1b94fb2c911b0 --- /dev/null +++ b/paddle/operators/mean_op_test.cc @@ -0,0 +1,25 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +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. */ + +#include + +#include + +USE_OP(mean); + +TEST(MeanOp, GetOpProto) { + auto& protos = paddle::framework::OpRegistry::protos(); + auto it = protos.find("mean"); + ASSERT_NE(it, protos.end()); +}