details

paddle/fluid/framework/data_type_transform.cu

@@ -1,106 +1 @@
-/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
-
-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/fluid/framework/data_type_transform.h"
-
-#include "paddle/fluid/framework/selected_rows.h"
-#include "paddle/fluid/platform/transform.h"
-
-namespace paddle {
-namespace framework {
-
-template <typename InType, typename OutType>
-struct CastDataTypeFunctor {
-  HOSTDEVICE inline OutType operator()(InType in) const {
-    return static_cast<OutType>(in);
-  }
-};
-
-template <typename InType>
-struct CastDataType {
-  CastDataType(const framework::Tensor& in, framework::Tensor* out,
-               const platform::DeviceContext* ctx)
-      : in_(in), out_(out), ctx_(ctx) {}
-  const framework::Tensor in_;
-  framework::Tensor* out_;
-  const platform::DeviceContext* ctx_;
-
-  template <typename OutType>
-  void apply() {
-    auto* in_begin = in_.data<InType>();
-    auto* in_end = in_begin + in_.numel();
-    auto* out_begin = out_->mutable_data<OutType>(in_.place());
-
-    if (platform::is_cpu_place(in_.place())) {
-      platform::Transform<platform::CPUDeviceContext> trans;
-      auto* context = static_cast<const platform::CPUDeviceContext*>(ctx_);
-      trans(*context, in_begin, in_end, out_begin,
-            CastDataTypeFunctor<InType, OutType>());
-#ifdef __NVCC__
-    } else if (platform::is_gpu_place(in_.place())) {
-      platform::Transform<platform::CUDADeviceContext> trans;
-      auto* context = static_cast<const platform::CUDADeviceContext*>(ctx_);
-      trans(*context, in_begin, in_end, out_begin,
-            CastDataTypeFunctor<InType, OutType>());
-      context->Wait();
-#endif
-    } else {
-      PADDLE_THROW("Unsupported place!");
-    }
-  }
-};
-
-void TransDataType(const OpKernelType& kernel_type_for_var,
-                   const OpKernelType& expected_kernel_type, const Tensor& in,
-                   Tensor* out) {
-  platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
-
-  out->Resize(in.dims());
-  auto src_type = kernel_type_for_var.data_type_;
-  auto dst_type = expected_kernel_type.data_type_;
-  auto ctx = pool.Get(in.place());
-
-  switch (src_type) {
-    case proto::VarType::FP16:
-      framework::VisitDataType(dst_type,
-                               CastDataType<platform::float16>(in, out, ctx));
-      break;
-    case proto::VarType::FP32:
-      framework::VisitDataType(dst_type, CastDataType<float>(in, out, ctx));
-      break;
-    case proto::VarType::FP64:
-      framework::VisitDataType(dst_type, CastDataType<double>(in, out, ctx));
-      break;
-    case proto::VarType::INT32:
-      framework::VisitDataType(dst_type, CastDataType<int>(in, out, ctx));
-      break;
-    case proto::VarType::INT64:
-      framework::VisitDataType(dst_type, CastDataType<int64_t>(in, out, ctx));
-      break;
-    case proto::VarType::BOOL:
-      framework::VisitDataType(dst_type, CastDataType<bool>(in, out, ctx));
-      break;
-    case proto::VarType::INT16:
-      framework::VisitDataType(dst_type, CastDataType<bool>(in, out, ctx));
-      break;
-    case proto::VarType::UINT8:
-      framework::VisitDataType(dst_type, CastDataType<bool>(in, out, ctx));
-      break;
-    default:
-      PADDLE_THROW("Not support type %d", src_type);
-  }
-}
-
-}  // namespace framework
-}  // namespace paddle
+data_type_transform.cc