Add mean cpu/gpu op

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)

paddle/operators/mean_op.cc

+/* 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<const Tensor *> &inputs,
+                  const std::vector<Tensor *> &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<ops::CPUPlace, float>);

paddle/operators/mean_op.cu

+#include "paddle/framework/op_registry.h"
+#include "paddle/operators/mean_op.h"
+
+REGISTER_OP_GPU_KERNEL(mean, ops::AddKernel<ops::GPUPlace, float>);

paddle/operators/mean_op.h

+/* 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 <typename Place, typename T>
+class MeanKernel : public OpKernel {
+public:
+  void Compute(const KernelContext& context) const override {
+    auto input = context.Input(0)->Get<Tensor>();
+    auto output = context.Output(0)->GetMutable<Tensor>();
+
+    output->mutable_data<T>(context.GetPlace());
+    EigenVector<T>::Flatten(*output).device(
+        *(context.GetEigenDevice<Place>())) =
+        EigenVector<T>::Flatten(input).mean();
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle

paddle/operators/mean_op_test.cc

+/* 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 <gtest/gtest.h>
+
+#include <paddle/framework/op_registry.h>
+
+USE_OP(mean);
+
+TEST(MeanOp, GetOpProto) {
+  auto& protos = paddle::framework::OpRegistry::protos();
+  auto it = protos.find("mean");
+  ASSERT_NE(it, protos.end());
+}