1/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
2
3Licensed under the Apache License, Version 2.0 (the "License");
4you may not use this file except in compliance with the License.
5You may obtain a copy of the License at
6
7    http://www.apache.org/licenses/LICENSE-2.0
8
9Unless required by applicable law or agreed to in writing, software
10distributed under the License is distributed on an "AS IS" BASIS,
11WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12See the License for the specific language governing permissions and
13limitations 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
28namespace 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.
37class 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