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config.h 5.4 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_END,
  63. } rtPlatformType_t;
  64. typedef enum tagRtCubeFracMKNFp16 {
  65. RT_CUBE_MKN_FP16_2_16_16 = 0,
  66. RT_CUBE_MKN_FP16_4_16_16,
  67. RT_CUBE_MKN_FP16_16_16_16,
  68. RT_CUBE_MKN_FP16_Default,
  69. } rtCubeFracMKNFp16_t;
  70. typedef enum tagRtCubeFracMKNInt8 {
  71. RT_CUBE_MKN_INT8_2_32_16 = 0,
  72. RT_CUBE_MKN_INT8_4_32_4,
  73. RT_CUBE_MKN_INT8_4_32_16,
  74. RT_CUBE_MKN_INT8_16_32_16,
  75. RT_CUBE_MKN_INT8_Default,
  76. } rtCubeFracMKNInt8_t;
  77. typedef enum tagRtVecFracVmulMKNFp16 {
  78. RT_VEC_VMUL_MKN_FP16_1_16_16 = 0,
  79. RT_VEC_VMUL_MKN_FP16_Default,
  80. } rtVecFracVmulMKNFp16_t;
  81. typedef enum tagRtVecFracVmulMKNInt8 {
  82. RT_VEC_VMUL_MKN_INT8_1_32_16 = 0,
  83. RT_VEC_VMUL_MKN_INT8_Default,
  84. } rtVecFracVmulMKNInt8_t;
  85. typedef struct tagRtAiCoreSpec {
  86. uint32_t cubeFreq;
  87. uint32_t cubeMSize;
  88. uint32_t cubeKSize;
  89. uint32_t cubeNSize;
  90. rtCubeFracMKNFp16_t cubeFracMKNFp16;
  91. rtCubeFracMKNInt8_t cubeFracMKNInt8;
  92. rtVecFracVmulMKNFp16_t vecFracVmulMKNFp16;
  93. rtVecFracVmulMKNInt8_t vecFracVmulMKNInt8;
  94. } rtAiCoreSpec_t;
  95. typedef struct tagRtAiCoreRatesPara {
  96. uint32_t ddrRate;
  97. uint32_t l2Rate;
  98. uint32_t l2ReadRate;
  99. uint32_t l2WriteRate;
  100. uint32_t l1ToL0ARate;
  101. uint32_t l1ToL0BRate;
  102. uint32_t l0CToUBRate;
  103. uint32_t ubToL2;
  104. uint32_t ubToDDR;
  105. uint32_t ubToL1;
  106. } rtAiCoreMemoryRates_t;
  107. typedef struct tagRtMemoryConfig {
  108. uint32_t flowtableSize;
  109. uint32_t compilerSize;
  110. } rtMemoryConfig_t;
  111. typedef struct tagRtPlatformConfig {
  112. uint32_t platformConfig;
  113. } rtPlatformConfig_t;
  114. /**
  115. * @ingroup
  116. * @brief get AI core count
  117. * @param [in] aiCoreCnt
  118. * @return aiCoreCnt
  119. */
  120. RTS_API rtError_t rtGetAiCoreCount(uint32_t *aiCoreCnt);
  121. /**
  122. * @ingroup
  123. * @brief get AI cpu count
  124. * @param [in] aiCpuCnt
  125. * @return aiCpuCnt
  126. */
  127. RTS_API rtError_t rtGetAiCpuCount(uint32_t *aiCpuCnt);
  128. /**
  129. * @ingroup
  130. * @brief get AI core frequency
  131. * @param [in] aiCoreSpec
  132. * @return aiCoreSpec
  133. */
  134. RTS_API rtError_t rtGetAiCoreSpec(rtAiCoreSpec_t *aiCoreSpec);
  135. /**
  136. * @ingroup
  137. * @brief AI get core band Info
  138. * @param [in] aiCoreMemoryRates
  139. * @return aiCoreMemoryRates
  140. */
  141. RTS_API rtError_t rtGetAiCoreMemoryRates(rtAiCoreMemoryRates_t *aiCoreMemoryRates);
  142. /**
  143. * @ingroup
  144. * @brief AI get core buffer Info,FlowTable Size,Compiler Size
  145. * @param [in] memoryConfig
  146. * @return memoryConfig
  147. */
  148. RTS_API rtError_t rtGetMemoryConfig(rtMemoryConfig_t *memoryConfig);
  149. /**
  150. * @ingroup
  151. * @brief get l2 buffer Info,virtual baseaddr,Size
  152. * @param [in] stream
  153. * @return RT_ERROR_NONE for ok, errno for failed
  154. */
  155. RTS_API rtError_t rtMemGetL2Info(rtStream_t stream, void **ptr, uint32_t *size);
  156. /**
  157. * @ingroup
  158. * @brief get runtime version. The version is returned as (1000 major + 10 minor). For example, RUNTIME 9.2 would be
  159. * represented by 9020.
  160. * @param [out] runtimeVersion
  161. * @return RT_ERROR_NONE for ok
  162. * @return RT_ERROR_INVALID_VALUE for error input
  163. */
  164. RTS_API rtError_t rtGetRuntimeVersion(uint32_t *runtimeVersion);
  165. /**
  166. * @ingroup
  167. * @brief get device feature ability by device id, such as task schedule ability.
  168. * @param [in] deviceId
  169. * @param [in] moduleType
  170. * @param [in] featureType
  171. * @param [out] value
  172. * @return RT_ERROR_NONE for ok
  173. * @return RT_ERROR_INVALID_VALUE for error input
  174. */
  175. RTS_API rtError_t rtGetDeviceCapability(int32_t deviceId, int32_t moduleType, int32_t featureType, int32_t *value);
  176. #if defined(__cplusplus) && !defined(COMPILE_OMG_PACKAGE)
  177. }
  178. #endif
  179. #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