add random op

paddle/operators/CMakeLists.txt

@@ -48,6 +48,7 @@ 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(softmax_op SRCS softmax_op.cc softmax_op.cu)
+op_library(random_op SRCS random_op.cc random_op.cu)
 
 op_library(fc_op SRCS fc_op.cc DEPS mul_op rowwise_add_op sigmoid_op
         softmax_op net)

paddle/operators/random_op.cc

@@ -0,0 +1,46 @@
+#include "paddle/operators/random_op.h"
+#include "paddle/framework/op_registry.h"
+
+namespace paddle {
+namespace operators {
+class RandomOp : public framework::OperatorWithKernel {
+protected:
+  void InferShape(
+      const std::vector<const framework::Tensor*>& inputs,
+      const std::vector<framework::Tensor*>& outputs) const override {
+    PADDLE_ENFORCE(inputs.size() == 0, "Input size of RandomOp must be zero.");
+    PADDLE_ENFORCE(outputs.size() == 1, "Output size of RandomOp must be one.");
+    PADDLE_ENFORCE(inputs[0] != nullptr && outputs[0] != nullptr,
+                   "Inputs/Outputs of RandomOp must all be set.");
+    outputs[0]->set_dims(inputs[0]->dims());
+  }
+};
+
+class RandomOpMaker : public framework::OpProtoAndCheckerMaker {
+public:
+  RandomOpMaker(framework::OpProto* proto, framework::OpAttrChecker* op_checker)
+      : framework::OpProtoAndCheckerMaker(proto, op_checker) {
+    AddAttr<std::vector<int>>("Shape", "The shape of matrix to be randomized");
+    AddAttr<float>("seed", "random seed generator.").SetDefault(1337);
+    AddAttr<float>("mean", "mean value of random.").SetDefault(.0);
+    AddAttr<float>("std", "minimum value of random value")
+        .SetDefault(1.0)
+        .LargerThan(.0);
+    AddOutput("Out", "output matrix of random op");
+    AddComment(R"DOC(
+Random Operator fill a matrix in normal distribution.
+The eqution : Out = Random(Shape=(d0, d1, ...), Dtype, mean, std)
+)DOC");
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+REGISTER_OP(random_op,
+            paddle::operators::RandomOp,
+            paddle::operators::RandomOpMaker);
+
+typedef paddle::operators::RandomOpKernel<paddle::platform::CPUPlace, float>
+    RandomOpKernel_CPU_float;
+REGISTER_OP_CPU_KERNEL(random_op, RandomOpKernel_CPU_float);

paddle/operators/random_op.cu

@@ -0,0 +1,6 @@
+#include "paddle/operators/random_op.h"
+#include "paddle/framework/op_registry.h"
+
+typedef paddle::operators::RandomOpKernel<paddle::platform::GPUPlace, float>
+  RandomOpKernel_GPU_float;
+REGISTER_OP_GPU_KERNEL(random_op, RandomOpKernel_GPU_float);

paddle/operators/random_op.h

@@ -0,0 +1,29 @@
+#pragma once
+#include <random>
+#include "glog/logging.h"
+#include "paddle/framework/eigen.h"
+#include "paddle/framework/operator.h"
+
+namespace paddle {
+namespace operators {
+template <typename Place, typename T>
+class RandomOpKernel : public framework::OpKernel {
+public:
+  void Compute(const framework::KernelContext& context) const override {
+    auto* output = context.Output(0)->GetMutable<framework::Tensor>();
+    output->mutable_data<T>(context.GetPlace());
+
+    auto shape = context.op_.attrs_.at("Shape");
+    auto mean = context.op_.attrs_.at("mean");
+    auto std = context.op_.attrs_.at("std");
+    auto seed = context.op_.attrs_.at("seed");
+    // std::default_random_engine generator(seed);
+    // std::normal_distribution<double> distribution(mean, std);
+
+    framework::EigenMatrix<T>::From(*output).device(*(
+        context.GetEigenDevice<Place>())) = framework::EigenMatrix<T>::Random();
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle