[Phi] move truncated_gaussian_random, delete useless codes

Author: windstamp

paddle/fluid/operators/truncated_gaussian_random_op.cc

@@ -23,28 +23,6 @@ limitations under the License. */
 namespace paddle {
 namespace operators {
 
-template <typename T>
-class CPUTruncatedGaussianRandomKernel : public framework::OpKernel<T> {
- public:
- void Compute(const framework::ExecutionContext& context) const override {
- float mean = context.Attr<float>("mean");
- float std = context.Attr<float>("std");
- auto* tensor = context.Output<framework::Tensor>("Out");
- T* data = tensor->mutable_data<T>(context.GetPlace());
-
- std::uniform_real_distribution<T> dist(std::numeric_limits<float>::min(),
- 1.0);
- TruncatedNormal<T> truncated_normal(mean, std);
- int64_t size = tensor->numel();
-
- unsigned int seed = static_cast<unsigned int>(context.Attr<int>("seed"));
- auto engine = framework::GetCPURandomEngine(seed);
- for (int64_t i = 0; i < size; ++i) {
- data[i] = truncated_normal(dist(*engine));
- }
- }
-};
-
 class TruncatedGaussianRandomOp : public framework::OperatorWithKernel {
  public:
  using framework::OperatorWithKernel::OperatorWithKernel;

paddle/fluid/operators/truncated_gaussian_random_op.cu

@@ -33,10 +33,6 @@ void TruncatedGaussianRandomKernel(const Context& dev_ctx,
  int seed,
  DataType dtype,
  DenseTensor* out) {
- // float mean = context.Attr<float>("mean");
- // float std = context.Attr<float>("std");
- // auto* tensor = context.Output<framework::Tensor>("Out");
-
  auto tensor = out;
 
  T* data = dev_ctx.template Alloc<T>(tensor);
@@ -46,7 +42,6 @@ void TruncatedGaussianRandomKernel(const Context& dev_ctx,
  TruncatedNormal<T> truncated_normal(mean, std);
  int64_t size = tensor->numel();
 
- // unsigned int seed = static_cast<unsigned int>(context.Attr<int>("seed"));
  auto engine = paddle::framework::GetCPURandomEngine(seed);
  for (int64_t i = 0; i < size; ++i) {
  data[i] = truncated_normal(dist(*engine));

paddle/phi/kernels/cpu/truncated_gaussian_random_kernel.cc

@@ -93,21 +93,17 @@ void TruncatedGaussianRandomKernel(const Context& dev_ctx,
  int seed,
  DataType dtype,
  DenseTensor* out) {
- // auto* tensor = context.Output<framework::Tensor>("Out");
-
  auto tensor = out;
 
  T* data = dev_ctx.template Alloc<T>(tensor);
 
- // unsigned int seed = static_cast<unsigned int>(context.Attr<int>("seed"));
  bool seed_flag = false;
  if (seed == 0) {
  std::random_device rd;
  seed = rd();
  seed_flag = true;
  }
- // T mean = static_cast<T>(context.Attr<float>("mean"));
- // T std = static_cast<T>(context.Attr<float>("std"));
+
  thrust::counting_iterator<int64_t> index_sequence_begin(0);
  int64_t size = tensor->numel();