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taskdown_common.h 3.0 kB

4 years ago
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  1. /**
  2. * Copyright (c) Huawei Technologies Co., Ltd. 2021. All rights reserved.
  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 INC_FRAMEWORK_COMMON_TASKDOWN_COMMON_H_
  17. #define INC_FRAMEWORK_COMMON_TASKDOWN_COMMON_H_
  18. #include "runtime/rt.h"
  19. namespace ge {
  20. const int32_t CC_FUSION_OP_MAX = 32;
  21. enum class ccStatus_t {
  22. CC_STATUS_SUCCESS = 0, /**< succ */
  23. CC_STATUS_NOT_INITIALIZED = 1, /**< not init */
  24. CC_STATUS_ALLOC_FAILED = 2, /**< alloc mem failed */
  25. CC_STATUS_BAD_PARAM = 3, /**< para check failed */
  26. CC_STATUS_INTERNAL_ERROR = 4, /**< internal error */
  27. CC_STATUS_KERNEL_ERROR = 5, /**< kernel error */
  28. CC_STATUS_RUNTIME_ERROR = 6, /**< runtime error */
  29. CC_STATUS_NOT_SUPPORTED = 7, /**< unsupport error */
  30. CC_STATUS_INVALID_VALUE = 7, /**< invalid value error for blas*/
  31. CC_STATUS_RESERVED = 8, /**< just for check */
  32. };
  33. enum class ccKernelType {
  34. CCE_AI_CORE = 0, /* cce aicore */
  35. CCE_AI_CPU = 1, /* cce aicpu */
  36. TE = 2, /* te operator*/
  37. CUSTOMIZED = 3, /* customized operator */
  38. TE_AI_CORE = 4, /* te aicore operator*/
  39. TE_AI_CPU = 5, /* te aicpu operator */
  40. AI_CPU = 6, /* aicpu */
  41. CUST_AI_CPU = 7, /* custom aicpu*/
  42. HOST_CPU = 8, /* host cpu */
  43. INVALID = 10000 /* unknown kernel type */
  44. };
  45. using ccOpContext = struct tagOpContext {
  46. ccKernelType kernelType;
  47. uint32_t opId;
  48. uint32_t kernelFuncId;
  49. uint32_t opIndex;
  50. uint32_t opCount;
  51. uint32_t opIndex2[CC_FUSION_OP_MAX];
  52. bool isFlowtable;
  53. uint16_t *argsOffset;
  54. uint32_t argsCount;
  55. uint64_t genDataBaseAddr;
  56. uint64_t genDataBaseSize;
  57. uint64_t genWeightBaseAddr;
  58. uint64_t genWeightBaseSize;
  59. uint64_t genVariableBaseAddr;
  60. uint64_t genVariableBaseSize;
  61. uint64_t l2ctrlSize;
  62. };
  63. enum class tagOpTensorFormat { OP_TENSOR_FORMAT_NC1HWC0 = 0, OP_TENSOR_FORMAT_ND, OP_TENSOR_FORMAT_RESERVED };
  64. enum class tagOpDataType {
  65. OP_DATA_FLOAT = 0, /**< float type */
  66. OP_DATA_HALF, /**< fp16 type */
  67. OP_DATA_INT8, /**< int8 type */
  68. OP_DATA_INT32, /**< int32 type */
  69. OP_DATA_UINT8, /**< uint8 type */
  70. OP_DATA_HALF_UINT16_PROPOSAL, /**< mixed type for proposal */
  71. OP_DATA_RESERVED
  72. };
  73. // AICPU Tensor
  74. using ccAICPUTensor = struct tagOpTensor {
  75. // real dim info
  76. tagOpTensorFormat format;
  77. tagOpDataType data_type;
  78. int32_t dim_cnt;
  79. int32_t mm;
  80. int32_t dim[8];
  81. };
  82. } // namespace ge
  83. #endif // INC_FRAMEWORK_COMMON_TASKDOWN_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