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acl_op_compiler.h 4.0 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 INC_EXTERNAL_ACL_ACL_OP_COMPILER_H_
  17. #define INC_EXTERNAL_ACL_ACL_OP_COMPILER_H_
  18. #include "acl_base.h"
  19. #include "acl_op.h"
  20. #ifdef __cplusplus
  21. extern "C" {
  22. #endif
  23. typedef enum aclCompileType { ACL_COMPILE_SYS, ACL_COMPILE_UNREGISTERED } aclopCompileType;
  24. typedef enum {
  25. ACL_PRECISION_MODE,
  26. ACL_AICORE_NUM,
  27. ACL_AUTO_TUNE_MODE,
  28. ACL_OP_SELECT_IMPL_MODE,
  29. ACL_OPTYPELIST_FOR_IMPLMODE,
  30. ACL_OP_DEBUG_LEVEL,
  31. ACL_DEBUG_DIR,
  32. ACL_OP_COMPILER_CACHE_MODE,
  33. ACL_OP_COMPILER_CACHE_DIR
  34. } aclCompileOpt;
  35. /**
  36. * @ingroup AscendCL
  37. * @brief compile op
  38. *
  39. * @param opType [IN] op type
  40. * @param numInputs [IN] number of inputs
  41. * @param inputDesc [IN] pointer to array of input tensor descriptions
  42. * @param numOutputs [IN] number of outputs
  43. * @param outputDesc [IN] pointer to array of output tensor descriptions
  44. * @param attr [IN] pointer to instance of aclopAttr.
  45. * may pass nullptr if the op has no attribute
  46. * @param engineType [IN] engine type
  47. * @param compileFlag [IN] compile flag
  48. * @param opPath [IN] path of op
  49. *
  50. * @retval ACL_SUCCESS The function is successfully executed.
  51. * @retval OtherValues Failure
  52. */
  53. ACL_FUNC_VISIBILITY aclError aclopCompile(const char *opType, int numInputs, const aclTensorDesc *const inputDesc[],
  54. int numOutputs, const aclTensorDesc *const outputDesc[],
  55. const aclopAttr *attr, aclopEngineType engineType,
  56. aclopCompileType compileFlag, const char *opPath);
  57. /**
  58. * @ingroup AscendCL
  59. * @brief compile and execute op
  60. *
  61. * @param opType [IN] op type
  62. * @param numInputs [IN] number of inputs
  63. * @param inputDesc [IN] pointer to array of input tensor descriptions
  64. * @param inputs [IN] pointer to array of input buffers
  65. * @param numOutputs [IN] number of outputs
  66. * @param outputDesc [IN] pointer to array of output tensor descriptions
  67. * @param outputs [IN] pointer to array of outputs buffers
  68. * @param attr [IN] pointer to instance of aclopAttr.
  69. * may pass nullptr if the op has no attribute
  70. * @param engineType [IN] engine type
  71. * @param compileFlag [IN] compile flag
  72. * @param opPath [IN] path of op
  73. * @param stream [IN] stream handle
  74. *
  75. * @retval ACL_SUCCESS The function is successfully executed.
  76. * @retval OtherValues Failure
  77. */
  78. ACL_FUNC_VISIBILITY aclError aclopCompileAndExecute(
  79. const char *opType, int numInputs, const aclTensorDesc *const inputDesc[], const aclDataBuffer *const inputs[],
  80. int numOutputs, const aclTensorDesc *const outputDesc[], aclDataBuffer *const outputs[], const aclopAttr *attr,
  81. aclopEngineType engineType, aclopCompileType compileFlag, const char *opPath, aclrtStream stream);
  82. /**
  83. * @ingroup AscendCL
  84. * @brief set compile option
  85. *
  86. * @param aclCompileOpt [IN] compile option
  87. * @param value [IN] pointer for the option value
  88. *
  89. * @retval ACL_SUCCESS The function is successfully executed.
  90. * @retval OtherValues Failure
  91. */
  92. ACL_FUNC_VISIBILITY aclError aclSetCompileopt(aclCompileOpt opt, const char *value);
  93. #ifdef __cplusplus
  94. }
  95. #endif
  96. #endif // INC_EXTERNAL_ACL_ACL_OP_COMPILER_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