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data_common.h 2.8 kB

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  1. /**
  2. * Copyright 2019-2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #ifndef HOST_INNER_INC_DATA_COMMON_H_
  17. #define HOST_INNER_INC_DATA_COMMON_H_
  18. namespace tdt {
  19. #ifndef TDT_DATA_TYPE
  20. #define TDT_DATA_TYPE
  21. /**
  22. * @ingroup Tdt data.
  23. *
  24. * Tdt data type.
  25. */
  26. enum TdtDataType {
  27. TDT_IMAGE_LABEL = 0, /**< Image label*/
  28. TDT_TFRECORD, /**< TF Record*/
  29. TDT_DATA_LABEL, /**< Data label*/
  30. TDT_END_OF_SEQUENCE, /**< End of Sequence*/
  31. TDT_TENSOR, /**< Tensor*/
  32. TDT_ABNORMAL, /**< ABNORMAL*/
  33. TDT_DATATYPE_MAX /**< Max*/
  34. };
  35. #endif
  36. /**
  37. * @ingroup Tdt data.
  38. *
  39. * Tdt push data between host and device.
  40. */
  41. struct TdtDataItem {
  42. TdtDataType dataType_; /**< Input data type*/
  43. uint64_t label_; /**< Input data label*/
  44. uint64_t dataLen_; /**< Input data type length*/
  45. uint64_t realDataLen_; /**< Real Input data type length*/
  46. std::string tensorShape_; /**< Tensor shape*/
  47. std::string tensorType_; /**< Tensor type*/
  48. uint32_t cnt_; /**< Data count*/
  49. uint32_t currentCnt_; /**< Data current count*/
  50. uint64_t index_; /**< Data inde*/
  51. std::string tensorName_; /**< Tensor name*/
  52. uint64_t md5ValueHead_; /**< Data md5*/
  53. uint64_t md5ValueTail_; /**< Data md5*/
  54. std::shared_ptr<void> dataPtr_; /**< Data pointer*/
  55. std::string headMD5_; /**< MD5 header, 8byte*/
  56. std::string tailMD5_; /**< MD5 tail, 8byte*/
  57. };
  58. /**
  59. * @ingroup Tdt data.
  60. *
  61. * Tdt push data for queuedataset ort mind-data.
  62. */
  63. struct DataItem {
  64. TdtDataType dataType_; /**< Input data type*/
  65. std::string tensorName_; /**< Tensor name*/
  66. std::string tensorShape_; /**< Tensor shape*/
  67. std::string tensorType_; /**< Tensor type*/
  68. uint64_t dataLen_; /**< Input data type length*/
  69. std::shared_ptr<void> dataPtr_; /**< Data pointer*/
  70. };
  71. /**
  72. * @ingroup Tsdclient.
  73. *
  74. * tsdclient func type;
  75. */
  76. enum TsdCmdType {
  77. TSDCLOSE = 0,
  78. TSDOPEN = 1
  79. };
  80. /**
  81. * @ingroup Tsdclient.
  82. *
  83. * tsdclient func input value object.
  84. */
  85. enum InputItem {
  86. OPEN_DEVICEID = 0,
  87. OPEN_RANKSIZE,
  88. CLOSE_DEVICEID
  89. };
  90. } // namespace tdt
  91. #endif // HOST_INNER_INC_DATA_COMMON_H_

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示