1 /* Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_GENERIC_TRANSFER_MANAGER_H_ 17 #define TENSORFLOW_COMPILER_XLA_SERVICE_GENERIC_TRANSFER_MANAGER_H_ 18 19 #include <vector> 20 21 #include "tensorflow/compiler/xla/service/transfer_manager.h" 22 #include "tensorflow/compiler/xla/statusor.h" 23 #include "tensorflow/compiler/xla/xla_data.pb.h" 24 #include "tensorflow/core/platform/macros.h" 25 #include "tensorflow/core/platform/stream_executor_no_cuda.h" 26 #include "tensorflow/core/platform/types.h" 27 28 namespace xla { 29 30 // A generic implementation of the XLA TransferManager interface 31 // that is the base class for both CPU and GPU. For GPU, it transfers 32 // data between host and device (GPU). For CPU, since the "device" 33 // here is the host itself, there's not much for this transfer manager 34 // to do except memcpy the result. There is a CpuTransferManager that 35 // inherits from GenericTransferManager and handles CPU-specific 36 // infeed. 37 class GenericTransferManager : public TransferManager { 38 public: 39 GenericTransferManager(perftools::gputools::Platform::Id platform_id, 40 size_t pointer_size); 41 ~GenericTransferManager() override {} 42 43 perftools::gputools::Platform::Id PlatformId() const override; 44 45 StatusOr<std::unique_ptr<Literal>> TransferLiteralFromDevice( 46 perftools::gputools::StreamExecutor* executor, 47 const ShapedBuffer& device_buffer) override; 48 49 Status TransferLiteralToDevice(perftools::gputools::StreamExecutor* executor, 50 const Literal& literal, 51 const ShapedBuffer& device_buffer) override; 52 53 Status TransferLiteralToInfeed(perftools::gputools::StreamExecutor* executor, 54 const Literal& literal) override; 55 Status TransferLiteralFromOutfeed( 56 perftools::gputools::StreamExecutor* executor, const Shape& literal_shape, 57 Literal* literal) override; 58 59 Status ResetDevices( 60 tensorflow::gtl::ArraySlice<perftools::gputools::StreamExecutor*> 61 executors) override; 62 63 int64 GetByteSizeRequirement(const Shape& shape) const override; 64 65 protected: 66 Status TransferBufferToInfeed(perftools::gputools::StreamExecutor* executor, 67 int64 size, const void* source) override; 68 69 Status WriteSingleTupleIndexTable( 70 perftools::gputools::StreamExecutor* executor, 71 tensorflow::gtl::ArraySlice<perftools::gputools::DeviceMemoryBase> 72 elements, 73 const Shape& shape, 74 perftools::gputools::DeviceMemoryBase* region) override; 75 76 private: 77 // The platform this transfer manager targets. 78 const perftools::gputools::Platform::Id platform_id_; 79 80 // The size in bytes of pointers on this platform. 81 const size_t pointer_size_; 82 83 TF_DISALLOW_COPY_AND_ASSIGN(GenericTransferManager); 84 }; 85 86 } // namespace xla 87 88 #endif // TENSORFLOW_COMPILER_XLA_SERVICE_GENERIC_TRANSFER_MANAGER_H_ 89
