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config.h 6.0 kB

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  1. /**
  2. * Copyright 2020 Huawei Technologies Co., Ltd
  3. * Licensed under the Apache License, Version 2.0 (the "License");
  4. * you may not use this file except in compliance with the License.
  5. * You may obtain a copy of the License at
  6. * http://www.apache.org/licenses/LICENSE-2.0
  7. * Unless required by applicable law or agreed to in writing, software
  8. * distributed under the License is distributed on an "AS IS" BASIS,
  9. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  10. * See the License for the specific language governing permissions and
  11. * limitations under the License.
  12. */
  13. #ifndef __CCE_RUNTIME_CONFIG_H__
  14. #define __CCE_RUNTIME_CONFIG_H__
  15. #include "base.h"
  16. #if defined(__cplusplus) && !defined(COMPILE_OMG_PACKAGE)
  17. extern "C" {
  18. #endif
  19. #define PLAT_COMBINE(arch, chip, ver) ((arch << 16) | (chip << 8) | (ver))
  20. #define PLAT_GET_ARCH(type) ((type >> 16) & 0xffff)
  21. #define PLAT_GET_CHIP(type) ((type >> 8) & 0xff)
  22. #define PLAT_GET_VER(type) (type & 0xff)
  23. typedef enum tagRtArchType {
  24. ARCH_BEGIN = 0,
  25. ARCH_V100 = ARCH_BEGIN,
  26. ARCH_V200,
  27. ARCH_END,
  28. } rtArchType_t;
  29. typedef enum tagRtChipType {
  30. CHIP_BEGIN = 0,
  31. CHIP_MINI = CHIP_BEGIN,
  32. CHIP_CLOUD,
  33. CHIP_MDC,
  34. CHIP_LHISI,
  35. CHIP_DC,
  36. CHIP_CLOUD_V2,
  37. CHIP_END,
  38. } rtChipType_t;
  39. typedef enum tagRtAicpuScheType {
  40. SCHEDULE_SOFTWARE = 0, /* Software Schedule */
  41. SCHEDULE_SOFTWARE_OPT,
  42. SCHEDULE_HARDWARE, /* HWTS Schedule */
  43. } rtAicpuScheType;
  44. typedef enum tagRtVersion {
  45. VER_BEGIN = 0,
  46. VER_NA = VER_BEGIN,
  47. VER_ES,
  48. VER_CS,
  49. VER_SD3403,
  50. VER_END,
  51. } rtVersion_t;
  52. /* match rtChipType_t */
  53. typedef enum tagRtPlatformType {
  54. PLATFORM_BEGIN = 0,
  55. PLATFORM_MINI_V1 = PLATFORM_BEGIN,
  56. PLATFORM_CLOUD_V1,
  57. PLATFORM_MINI_V2,
  58. PLATFORM_LHISI_ES,
  59. PLATFORM_LHISI_CS,
  60. PLATFORM_DC,
  61. PLATFORM_CLOUD_V2,
  62. PLATFORM_LHISI_SD3403,
  63. PLATFORM_END,
  64. } rtPlatformType_t;
  65. typedef enum tagRtCubeFracMKNFp16 {
  66. RT_CUBE_MKN_FP16_2_16_16 = 0,
  67. RT_CUBE_MKN_FP16_4_16_16,
  68. RT_CUBE_MKN_FP16_16_16_16,
  69. RT_CUBE_MKN_FP16_Default,
  70. } rtCubeFracMKNFp16_t;
  71. typedef enum tagRtCubeFracMKNInt8 {
  72. RT_CUBE_MKN_INT8_2_32_16 = 0,
  73. RT_CUBE_MKN_INT8_4_32_4,
  74. RT_CUBE_MKN_INT8_4_32_16,
  75. RT_CUBE_MKN_INT8_16_32_16,
  76. RT_CUBE_MKN_INT8_Default,
  77. } rtCubeFracMKNInt8_t;
  78. typedef enum tagRtVecFracVmulMKNFp16 {
  79. RT_VEC_VMUL_MKN_FP16_1_16_16 = 0,
  80. RT_VEC_VMUL_MKN_FP16_Default,
  81. } rtVecFracVmulMKNFp16_t;
  82. typedef enum tagRtVecFracVmulMKNInt8 {
  83. RT_VEC_VMUL_MKN_INT8_1_32_16 = 0,
  84. RT_VEC_VMUL_MKN_INT8_Default,
  85. } rtVecFracVmulMKNInt8_t;
  86. typedef struct tagRtAiCoreSpec {
  87. uint32_t cubeFreq;
  88. uint32_t cubeMSize;
  89. uint32_t cubeKSize;
  90. uint32_t cubeNSize;
  91. rtCubeFracMKNFp16_t cubeFracMKNFp16;
  92. rtCubeFracMKNInt8_t cubeFracMKNInt8;
  93. rtVecFracVmulMKNFp16_t vecFracVmulMKNFp16;
  94. rtVecFracVmulMKNInt8_t vecFracVmulMKNInt8;
  95. } rtAiCoreSpec_t;
  96. typedef struct tagRtAiCoreRatesPara {
  97. uint32_t ddrRate;
  98. uint32_t l2Rate;
  99. uint32_t l2ReadRate;
  100. uint32_t l2WriteRate;
  101. uint32_t l1ToL0ARate;
  102. uint32_t l1ToL0BRate;
  103. uint32_t l0CToUBRate;
  104. uint32_t ubToL2;
  105. uint32_t ubToDDR;
  106. uint32_t ubToL1;
  107. } rtAiCoreMemoryRates_t;
  108. typedef struct tagRtMemoryConfig {
  109. uint32_t flowtableSize;
  110. uint32_t compilerSize;
  111. } rtMemoryConfig_t;
  112. typedef struct tagRtPlatformConfig {
  113. uint32_t platformConfig;
  114. } rtPlatformConfig_t;
  115. typedef enum tagRTTaskTimeoutType {
  116. RT_TIMEOUT_TYPE_OP_WAIT = 0,
  117. RT_TIMEOUT_TYPE_OP_EXECUTE,
  118. } rtTaskTimeoutType_t;
  119. /**
  120. * @ingroup
  121. * @brief get AI core count
  122. * @param [in] aiCoreCnt
  123. * @return aiCoreCnt
  124. */
  125. RTS_API rtError_t rtGetAiCoreCount(uint32_t *aiCoreCnt);
  126. /**
  127. * @ingroup
  128. * @brief get AI cpu count
  129. * @param [in] aiCpuCnt
  130. * @return aiCpuCnt
  131. */
  132. RTS_API rtError_t rtGetAiCpuCount(uint32_t *aiCpuCnt);
  133. /**
  134. * @ingroup
  135. * @brief get AI core frequency
  136. * @param [in] aiCoreSpec
  137. * @return aiCoreSpec
  138. */
  139. RTS_API rtError_t rtGetAiCoreSpec(rtAiCoreSpec_t *aiCoreSpec);
  140. /**
  141. * @ingroup
  142. * @brief AI get core band Info
  143. * @param [in] aiCoreMemoryRates
  144. * @return aiCoreMemoryRates
  145. */
  146. RTS_API rtError_t rtGetAiCoreMemoryRates(rtAiCoreMemoryRates_t *aiCoreMemoryRates);
  147. /**
  148. * @ingroup
  149. * @brief AI get core buffer Info,FlowTable Size,Compiler Size
  150. * @param [in] memoryConfig
  151. * @return memoryConfig
  152. */
  153. RTS_API rtError_t rtGetMemoryConfig(rtMemoryConfig_t *memoryConfig);
  154. /**
  155. * @ingroup
  156. * @brief get l2 buffer Info,virtual baseaddr,Size
  157. * @param [in] stream
  158. * @return RT_ERROR_NONE for ok, errno for failed
  159. */
  160. RTS_API rtError_t rtMemGetL2Info(rtStream_t stream, void **ptr, uint32_t *size);
  161. /**
  162. * @ingroup
  163. * @brief get runtime version. The version is returned as (1000 major + 10 minor). For example, RUNTIME 9.2 would be
  164. * represented by 9020.
  165. * @param [out] runtimeVersion
  166. * @return RT_ERROR_NONE for ok
  167. * @return RT_ERROR_INVALID_VALUE for error input
  168. */
  169. RTS_API rtError_t rtGetRuntimeVersion(uint32_t *runtimeVersion);
  170. /**
  171. * @ingroup
  172. * @brief get device feature ability by device id, such as task schedule ability.
  173. * @param [in] deviceId
  174. * @param [in] moduleType
  175. * @param [in] featureType
  176. * @param [out] value
  177. * @return RT_ERROR_NONE for ok
  178. * @return RT_ERROR_INVALID_VALUE for error input
  179. */
  180. RTS_API rtError_t rtGetDeviceCapability(int32_t deviceId, int32_t moduleType, int32_t featureType, int32_t *value);
  181. /**
  182. * @ingroup
  183. * @brief set event wait task timeout time.
  184. * @param [in] timeout
  185. * @return RT_ERROR_NONE for ok
  186. * @return RT_ERROR_INVALID_VALUE for error input
  187. */
  188. RTS_API rtError_t rtSetOpWaitTimeOut(uint32_t timeout);
  189. /**
  190. * @ingroup
  191. * @brief set op execute task timeout time.
  192. * @param [in] timeout
  193. * @return RT_ERROR_NONE for ok
  194. * @return RT_ERROR_INVALID_VALUE for error input
  195. */
  196. RTS_API rtError_t rtSetOpExecuteTimeOut(uint32_t timeout);
  197. #if defined(__cplusplus) && !defined(COMPILE_OMG_PACKAGE)
  198. }
  199. #endif
  200. #endif // __CCE_RUNTIME_STREAM_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