You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

plog.h 1.5 kB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859
  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 _PLOG_H_
  17. #define _PLOG_H_
  18. #ifdef __cplusplus
  19. extern "C" {
  20. #endif // __cplusplus
  21. #ifndef LINUX
  22. #define LINUX 0
  23. #endif // LINUX
  24. #ifndef WIN
  25. #define WIN 1
  26. #endif
  27. #ifndef OS_TYPE
  28. #define OS_TYPE 0
  29. #endif // OS_TYPE
  30. #if (OS_TYPE == LINUX)
  31. #define DLL_EXPORT __attribute__((visibility("default")))
  32. #else
  33. #define DLL_EXPORT _declspec(dllexport)
  34. #endif
  35. /**
  36. * @ingroup plog
  37. * @brief DlogReportInitialize: init log in service process before all device setting.
  38. * @return: 0: SUCCEED, others: FAILED
  39. */
  40. DLL_EXPORT int DlogReportInitialize(void);
  41. /**
  42. * @ingroup plog
  43. * @brief DlogReportFinalize: release log resource in service process after all device reset.
  44. * @return: 0: SUCCEED, others: FAILED
  45. */
  46. DLL_EXPORT int DlogReportFinalize(void);
  47. #ifdef __cplusplus
  48. }
  49. #endif // __cplusplus
  50. #endif // D_PLOG_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