code_sync_0617_inc

inc/external/acl/acl.h

@@ -26,9 +26,9 @@ extern "C" {
 #endif
 
 // Current version is 1.0.0
-#define ACL_MAJOR_VERSION    1
-#define ACL_MINOR_VERSION    0
-#define ACL_PATCH_VERSION    0
+#define ACL_MAJOR_VERSION 1
+#define ACL_MINOR_VERSION 0
+#define ACL_PATCH_VERSION 0
 
 /**
  * @ingroup AscendCL
@@ -79,4 +79,4 @@ ACL_FUNC_VISIBILITY const char *aclGetRecentErrMsg();
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_ACL_H_
+#endif  // INC_EXTERNAL_ACL_ACL_H_

inc/external/acl/acl_base.h

@@ -136,50 +136,49 @@ static const int ACL_ERROR_PROFILING_FAILURE = 500005;
 #define ACL_UNKNOWN_RANK 0xFFFFFFFFFFFFFFFE
 
 typedef enum {
-    ACL_DT_UNDEFINED = -1,
-    ACL_FLOAT = 0,
-    ACL_FLOAT16 = 1,
-    ACL_INT8 = 2,
-    ACL_INT32 = 3,
-    ACL_UINT8 = 4,
-    ACL_INT16 = 6,
-    ACL_UINT16 = 7,
-    ACL_UINT32 = 8,
-    ACL_INT64 = 9,
-    ACL_UINT64 = 10,
-    ACL_DOUBLE = 11,
-    ACL_BOOL = 12,
-    ACL_STRING = 13,
+  ACL_DT_UNDEFINED = -1,
+  ACL_FLOAT = 0,
+  ACL_FLOAT16 = 1,
+  ACL_INT8 = 2,
+  ACL_INT32 = 3,
+  ACL_UINT8 = 4,
+  ACL_INT16 = 6,
+  ACL_UINT16 = 7,
+  ACL_UINT32 = 8,
+  ACL_INT64 = 9,
+  ACL_UINT64 = 10,
+  ACL_DOUBLE = 11,
+  ACL_BOOL = 12,
+  ACL_STRING = 13,
 } aclDataType;
 
 typedef enum {
-    ACL_FORMAT_UNDEFINED = -1,
-    ACL_FORMAT_NCHW = 0,
-    ACL_FORMAT_NHWC = 1,
-    ACL_FORMAT_ND = 2,
-    ACL_FORMAT_NC1HWC0 = 3,
-    ACL_FORMAT_FRACTAL_Z = 4,
-    ACL_FORMAT_NC1HWC0_C04 = 12,
-    ACL_FORMAT_NDHWC = 27,
-    ACL_FORMAT_FRACTAL_NZ = 29,
-    ACL_FORMAT_NCDHW = 30,
-    ACL_FORMAT_NDC1HWC0 = 32,
-    ACL_FRACTAL_Z_3D = 33
+  ACL_FORMAT_UNDEFINED = -1,
+  ACL_FORMAT_NCHW = 0,
+  ACL_FORMAT_NHWC = 1,
+  ACL_FORMAT_ND = 2,
+  ACL_FORMAT_NC1HWC0 = 3,
+  ACL_FORMAT_FRACTAL_Z = 4,
+  ACL_FORMAT_NC1HWC0_C04 = 12,
+  ACL_FORMAT_NDHWC = 27,
+  ACL_FORMAT_FRACTAL_NZ = 29,
+  ACL_FORMAT_NCDHW = 30,
+  ACL_FORMAT_NDC1HWC0 = 32,
+  ACL_FRACTAL_Z_3D = 33
 } aclFormat;
 
 typedef enum {
-    ACL_DEBUG = 0,
-    ACL_INFO = 1,
-    ACL_WARNING = 2,
-    ACL_ERROR = 3,
+  ACL_DEBUG = 0,
+  ACL_INFO = 1,
+  ACL_WARNING = 2,
+  ACL_ERROR = 3,
 } aclLogLevel;
 
 typedef enum {
-    ACL_MEMTYPE_DEVICE = 0,
-    ACL_MEMTYPE_HOST = 1,
+  ACL_MEMTYPE_DEVICE = 0,
+  ACL_MEMTYPE_HOST = 1,
 } aclMemType;
 
-
 /**
  * @ingroup AscendCL
  * @brief Converts data of type aclFloat16 to data of type float
@@ -312,9 +311,7 @@ ACL_FUNC_VISIBILITY size_t aclDataTypeSize(aclDataType dataType);
  * @retval aclTensorDesc pointer.
  * @retval nullptr if param is invalid or run out of memory
  */
-ACL_FUNC_VISIBILITY aclTensorDesc *aclCreateTensorDesc(aclDataType dataType,
-                                                       int numDims,
-                                                       const int64_t *dims,
+ACL_FUNC_VISIBILITY aclTensorDesc *aclCreateTensorDesc(aclDataType dataType, int numDims, const int64_t *dims,
                                                        aclFormat format);
 
 /**
@@ -336,8 +333,7 @@ ACL_FUNC_VISIBILITY void aclDestroyTensorDesc(const aclTensorDesc *desc);
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclSetTensorShapeRange(aclTensorDesc* desc,
-                                                    size_t dimsCount,
+ACL_FUNC_VISIBILITY aclError aclSetTensorShapeRange(aclTensorDesc *desc, size_t dimsCount,
                                                     int64_t dimsRange[][ACL_TENSOR_SHAPE_RANGE_NUM]);
 
 /**
@@ -434,9 +430,7 @@ ACL_FUNC_VISIBILITY aclError aclGetTensorDescDimV2(const aclTensorDesc *desc, si
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclGetTensorDescDimRange(const aclTensorDesc *desc,
-                                                      size_t index,
-                                                      size_t dimRangeNum,
+ACL_FUNC_VISIBILITY aclError aclGetTensorDescDimRange(const aclTensorDesc *desc, size_t index, size_t dimRangeNum,
                                                       int64_t *dimRange);
 
 /**
@@ -473,7 +467,7 @@ ACL_FUNC_VISIBILITY const char *aclGetTensorDescName(aclTensorDesc *desc);
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclTransTensorDescFormat(const aclTensorDesc *srcDesc, aclFormat dstFormat,
-    aclTensorDesc **dstDesc);
+                                                      aclTensorDesc **dstDesc);
 
 /**
  * @ingroup AscendCL
@@ -561,7 +555,7 @@ ACL_FUNC_VISIBILITY aclError aclSetTensorOriginShape(aclTensorDesc *desc, int nu
  *
  * @retval null for failed.
  * @retval OtherValues success.
-*/
+ */
 ACL_FUNC_VISIBILITY aclTensorDesc *aclGetTensorDescByIndex(aclTensorDesc *desc, size_t index);
 
 /**
@@ -572,7 +566,7 @@ ACL_FUNC_VISIBILITY aclTensorDesc *aclGetTensorDescByIndex(aclTensorDesc *desc,
  *
  * @retval null for failed
  * @retval OtherValues success
-*/
+ */
 ACL_FUNC_VISIBILITY void *aclGetTensorDescAddress(const aclTensorDesc *desc);
 
 /**
@@ -624,7 +618,7 @@ ACL_FUNC_VISIBILITY aclError aclSetTensorPlaceMent(aclTensorDesc *desc, aclMemTy
  * @param ... [IN]         the value of current log
  */
 ACL_FUNC_VISIBILITY void aclAppLog(aclLogLevel logLevel, const char *func, const char *file, uint32_t line,
-    const char *fmt, ...);
+                                   const char *fmt, ...);
 
 /**
  * @ingroup AscendCL
@@ -632,14 +626,13 @@ ACL_FUNC_VISIBILITY void aclAppLog(aclLogLevel logLevel, const char *func, const
  *
  * @retval null for failed
  * @retval OtherValues success
-*/
+ */
 ACL_FUNC_VISIBILITY const char *aclrtGetSocName();
 
-#define ACL_APP_LOG(level, fmt, ...) \
-    aclAppLog(level, __FUNCTION__, __FILE__, __LINE__, fmt, ##__VA_ARGS__)
+#define ACL_APP_LOG(level, fmt, ...) aclAppLog(level, __FUNCTION__, __FILE__, __LINE__, fmt, ##__VA_ARGS__)
 
 #ifdef __cplusplus
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_ACL_BASE_H_
+#endif  // INC_EXTERNAL_ACL_ACL_BASE_H_

inc/external/acl/acl_mdl.h

@@ -27,19 +27,19 @@
 extern "C" {
 #endif
 
-#define ACL_MAX_DIM_CNT          128
-#define ACL_MAX_TENSOR_NAME_LEN  128
-#define ACL_MAX_BATCH_NUM        128
-#define ACL_MAX_HW_NUM           128
-#define ACL_MAX_SHAPE_COUNT      128
-#define ACL_INVALID_NODE_INDEX   0xFFFFFFFF
-
-#define ACL_MDL_LOAD_FROM_FILE            1
-#define ACL_MDL_LOAD_FROM_FILE_WITH_MEM   2
-#define ACL_MDL_LOAD_FROM_MEM             3
-#define ACL_MDL_LOAD_FROM_MEM_WITH_MEM    4
-#define ACL_MDL_LOAD_FROM_FILE_WITH_Q     5
-#define ACL_MDL_LOAD_FROM_MEM_WITH_Q      6
+#define ACL_MAX_DIM_CNT 128
+#define ACL_MAX_TENSOR_NAME_LEN 128
+#define ACL_MAX_BATCH_NUM 128
+#define ACL_MAX_HW_NUM 128
+#define ACL_MAX_SHAPE_COUNT 128
+#define ACL_INVALID_NODE_INDEX 0xFFFFFFFF
+
+#define ACL_MDL_LOAD_FROM_FILE 1
+#define ACL_MDL_LOAD_FROM_FILE_WITH_MEM 2
+#define ACL_MDL_LOAD_FROM_MEM 3
+#define ACL_MDL_LOAD_FROM_MEM_WITH_MEM 4
+#define ACL_MDL_LOAD_FROM_FILE_WITH_Q 5
+#define ACL_MDL_LOAD_FROM_MEM_WITH_Q 6
 
 #define ACL_DYNAMIC_TENSOR_NAME "ascend_mbatch_shape_data"
 #define ACL_DYNAMIC_AIPP_NAME "ascend_dynamic_aipp_data"
@@ -52,123 +52,123 @@ typedef struct aclAippExtendInfo aclAippExtendInfo;
 typedef struct aclmdlConfigHandle aclmdlConfigHandle;
 
 typedef enum {
-    ACL_YUV420SP_U8 = 1,
-    ACL_XRGB8888_U8,
-    ACL_RGB888_U8,
-    ACL_YUV400_U8,
-    ACL_NC1HWC0DI_FP16,
-    ACL_NC1HWC0DI_S8,
-    ACL_ARGB8888_U8,
-    ACL_YUYV_U8,
-    ACL_YUV422SP_U8,
-    ACL_AYUV444_U8,
-    ACL_RAW10,
-    ACL_RAW12,
-    ACL_RAW16,
-    ACL_RAW24,
-    ACL_AIPP_RESERVED = 0xffff,
+  ACL_YUV420SP_U8 = 1,
+  ACL_XRGB8888_U8,
+  ACL_RGB888_U8,
+  ACL_YUV400_U8,
+  ACL_NC1HWC0DI_FP16,
+  ACL_NC1HWC0DI_S8,
+  ACL_ARGB8888_U8,
+  ACL_YUYV_U8,
+  ACL_YUV422SP_U8,
+  ACL_AYUV444_U8,
+  ACL_RAW10,
+  ACL_RAW12,
+  ACL_RAW16,
+  ACL_RAW24,
+  ACL_AIPP_RESERVED = 0xffff,
 } aclAippInputFormat;
 
 typedef enum {
-    ACL_MDL_PRIORITY_INT32 = 0,
-    ACL_MDL_LOAD_TYPE_SIZET,
-    ACL_MDL_PATH_PTR, /**< pointer to model load path with deep copy */
-    ACL_MDL_MEM_ADDR_PTR, /**< pointer to model memory with shallow copy */
-    ACL_MDL_MEM_SIZET,
-    ACL_MDL_WEIGHT_ADDR_PTR, /**< pointer to weight memory of model with shallow copy */
-    ACL_MDL_WEIGHT_SIZET,
-    ACL_MDL_WORKSPACE_ADDR_PTR, /**< pointer to worksapce memory of model with shallow copy */
-    ACL_MDL_WORKSPACE_SIZET,
-    ACL_MDL_INPUTQ_NUM_SIZET,
-    ACL_MDL_INPUTQ_ADDR_PTR, /**< pointer to inputQ with shallow copy */
-    ACL_MDL_OUTPUTQ_NUM_SIZET,
-    ACL_MDL_OUTPUTQ_ADDR_PTR /**< pointer to outputQ with shallow copy */
+  ACL_MDL_PRIORITY_INT32 = 0,
+  ACL_MDL_LOAD_TYPE_SIZET,
+  ACL_MDL_PATH_PTR,     /**< pointer to model load path with deep copy */
+  ACL_MDL_MEM_ADDR_PTR, /**< pointer to model memory with shallow copy */
+  ACL_MDL_MEM_SIZET,
+  ACL_MDL_WEIGHT_ADDR_PTR, /**< pointer to weight memory of model with shallow copy */
+  ACL_MDL_WEIGHT_SIZET,
+  ACL_MDL_WORKSPACE_ADDR_PTR, /**< pointer to worksapce memory of model with shallow copy */
+  ACL_MDL_WORKSPACE_SIZET,
+  ACL_MDL_INPUTQ_NUM_SIZET,
+  ACL_MDL_INPUTQ_ADDR_PTR, /**< pointer to inputQ with shallow copy */
+  ACL_MDL_OUTPUTQ_NUM_SIZET,
+  ACL_MDL_OUTPUTQ_ADDR_PTR /**< pointer to outputQ with shallow copy */
 } aclmdlConfigAttr;
 
 typedef enum {
-    ACL_DATA_WITHOUT_AIPP = 0,
-    ACL_DATA_WITH_STATIC_AIPP,
-    ACL_DATA_WITH_DYNAMIC_AIPP,
-    ACL_DYNAMIC_AIPP_NODE
+  ACL_DATA_WITHOUT_AIPP = 0,
+  ACL_DATA_WITH_STATIC_AIPP,
+  ACL_DATA_WITH_DYNAMIC_AIPP,
+  ACL_DYNAMIC_AIPP_NODE
 } aclmdlInputAippType;
 
 typedef struct aclmdlIODims {
-    char name[ACL_MAX_TENSOR_NAME_LEN]; /**< tensor name */
-    size_t dimCount;  /**< dim array count */
-    int64_t dims[ACL_MAX_DIM_CNT]; /**< dim data array */
+  char name[ACL_MAX_TENSOR_NAME_LEN]; /**< tensor name */
+  size_t dimCount;                    /**< dim array count */
+  int64_t dims[ACL_MAX_DIM_CNT];      /**< dim data array */
 } aclmdlIODims;
 
 typedef struct aclAippDims {
-    aclmdlIODims srcDims; /**< input dims before model transform */
-    size_t srcSize; /**< input size before model transform */
-    aclmdlIODims aippOutdims; /**< aipp output dims */
-    size_t aippOutSize; /**< aipp output size */
+  aclmdlIODims srcDims;     /**< input dims before model transform */
+  size_t srcSize;           /**< input size before model transform */
+  aclmdlIODims aippOutdims; /**< aipp output dims */
+  size_t aippOutSize;       /**< aipp output size */
 } aclAippDims;
 
 typedef struct aclmdlBatch {
-    size_t batchCount; /**< batch array count */
-    uint64_t batch[ACL_MAX_BATCH_NUM]; /**< batch data array */
+  size_t batchCount;                 /**< batch array count */
+  uint64_t batch[ACL_MAX_BATCH_NUM]; /**< batch data array */
 } aclmdlBatch;
 
 typedef struct aclmdlHW {
-    size_t hwCount; /**< height&width array count */
-    uint64_t hw[ACL_MAX_HW_NUM][2]; /**< height&width data array */
+  size_t hwCount;                 /**< height&width array count */
+  uint64_t hw[ACL_MAX_HW_NUM][2]; /**< height&width data array */
 } aclmdlHW;
 
 typedef struct aclAippInfo {
-    aclAippInputFormat inputFormat;
-    int32_t srcImageSizeW;
-    int32_t srcImageSizeH;
-    int8_t cropSwitch;
-    int32_t loadStartPosW;
-    int32_t loadStartPosH;
-    int32_t cropSizeW;
-    int32_t cropSizeH;
-    int8_t resizeSwitch;
-    int32_t resizeOutputW;
-    int32_t resizeOutputH;
-    int8_t paddingSwitch;
-    int32_t leftPaddingSize;
-    int32_t rightPaddingSize;
-    int32_t topPaddingSize;
-    int32_t bottomPaddingSize;
-    int8_t cscSwitch;
-    int8_t rbuvSwapSwitch;
-    int8_t axSwapSwitch;
-    int8_t singleLineMode;
-    int32_t matrixR0C0;
-    int32_t matrixR0C1;
-    int32_t matrixR0C2;
-    int32_t matrixR1C0;
-    int32_t matrixR1C1;
-    int32_t matrixR1C2;
-    int32_t matrixR2C0;
-    int32_t matrixR2C1;
-    int32_t matrixR2C2;
-    int32_t outputBias0;
-    int32_t outputBias1;
-    int32_t outputBias2;
-    int32_t inputBias0;
-    int32_t inputBias1;
-    int32_t inputBias2;
-    int32_t meanChn0;
-    int32_t meanChn1;
-    int32_t meanChn2;
-    int32_t meanChn3;
-    float minChn0;
-    float minChn1;
-    float minChn2;
-    float minChn3;
-    float varReciChn0;
-    float varReciChn1;
-    float varReciChn2;
-    float varReciChn3;
-    aclFormat srcFormat;
-    aclDataType srcDatatype;
-    size_t srcDimNum;
-    size_t shapeCount;
-    aclAippDims outDims[ACL_MAX_SHAPE_COUNT];
-    aclAippExtendInfo *aippExtend; /**< reserved parameters, current version needs to be null */
+  aclAippInputFormat inputFormat;
+  int32_t srcImageSizeW;
+  int32_t srcImageSizeH;
+  int8_t cropSwitch;
+  int32_t loadStartPosW;
+  int32_t loadStartPosH;
+  int32_t cropSizeW;
+  int32_t cropSizeH;
+  int8_t resizeSwitch;
+  int32_t resizeOutputW;
+  int32_t resizeOutputH;
+  int8_t paddingSwitch;
+  int32_t leftPaddingSize;
+  int32_t rightPaddingSize;
+  int32_t topPaddingSize;
+  int32_t bottomPaddingSize;
+  int8_t cscSwitch;
+  int8_t rbuvSwapSwitch;
+  int8_t axSwapSwitch;
+  int8_t singleLineMode;
+  int32_t matrixR0C0;
+  int32_t matrixR0C1;
+  int32_t matrixR0C2;
+  int32_t matrixR1C0;
+  int32_t matrixR1C1;
+  int32_t matrixR1C2;
+  int32_t matrixR2C0;
+  int32_t matrixR2C1;
+  int32_t matrixR2C2;
+  int32_t outputBias0;
+  int32_t outputBias1;
+  int32_t outputBias2;
+  int32_t inputBias0;
+  int32_t inputBias1;
+  int32_t inputBias2;
+  int32_t meanChn0;
+  int32_t meanChn1;
+  int32_t meanChn2;
+  int32_t meanChn3;
+  float minChn0;
+  float minChn1;
+  float minChn2;
+  float minChn3;
+  float varReciChn0;
+  float varReciChn1;
+  float varReciChn2;
+  float varReciChn3;
+  aclFormat srcFormat;
+  aclDataType srcDatatype;
+  size_t srcDimNum;
+  size_t shapeCount;
+  aclAippDims outDims[ACL_MAX_SHAPE_COUNT];
+  aclAippExtendInfo *aippExtend; /**< reserved parameters, current version needs to be null */
 } aclAippInfo;
 
 /**
@@ -292,8 +292,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlAddDatasetBuffer(aclmdlDataset *dataset, aclD
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclmdlSetDatasetTensorDesc(aclmdlDataset *dataset,
-                                                        aclTensorDesc *tensorDesc,
+ACL_FUNC_VISIBILITY aclError aclmdlSetDatasetTensorDesc(aclmdlDataset *dataset, aclTensorDesc *tensorDesc,
                                                         size_t index);
 
 /**
@@ -355,8 +354,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlLoadFromFile(const char *modelPath, uint32_t
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclmdlLoadFromMem(const void *model,  size_t modelSize,
-                                               uint32_t *modelId);
+ACL_FUNC_VISIBILITY aclError aclmdlLoadFromMem(const void *model, size_t modelSize, uint32_t *modelId);
 
 /**
  * @ingroup AscendCL
@@ -378,9 +376,8 @@ ACL_FUNC_VISIBILITY aclError aclmdlLoadFromMem(const void *model,  size_t modelS
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclmdlLoadFromFileWithMem(const char *modelPath,
-                                                       uint32_t *modelId, void *workPtr, size_t workSize,
-                                                       void *weightPtr, size_t weightSize);
+ACL_FUNC_VISIBILITY aclError aclmdlLoadFromFileWithMem(const char *modelPath, uint32_t *modelId, void *workPtr,
+                                                       size_t workSize, void *weightPtr, size_t weightSize);
 
 /**
  * @ingroup AscendCL
@@ -403,9 +400,9 @@ ACL_FUNC_VISIBILITY aclError aclmdlLoadFromFileWithMem(const char *modelPath,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclmdlLoadFromMemWithMem(const void *model, size_t modelSize,
-                                                      uint32_t *modelId, void *workPtr, size_t workSize,
-                                                      void *weightPtr, size_t weightSize);
+ACL_FUNC_VISIBILITY aclError aclmdlLoadFromMemWithMem(const void *model, size_t modelSize, uint32_t *modelId,
+                                                      void *workPtr, size_t workSize, void *weightPtr,
+                                                      size_t weightSize);
 
 /**
  * @ingroup AscendCL
@@ -440,8 +437,8 @@ ACL_FUNC_VISIBILITY aclError aclmdlLoadFromFileWithQ(const char *modelPath, uint
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclmdlLoadFromMemWithQ(const void *model, size_t modelSize, uint32_t *modelId,
-                                                    const uint32_t *inputQ, size_t inputQNum,
-                                                    const uint32_t *outputQ, size_t outputQNum);
+                                                    const uint32_t *inputQ, size_t inputQNum, const uint32_t *outputQ,
+                                                    size_t outputQNum);
 
 /**
  * @ingroup AscendCL
@@ -471,8 +468,8 @@ ACL_FUNC_VISIBILITY aclError aclmdlExecute(uint32_t modelId, const aclmdlDataset
  * @see aclmdlLoadFromFile | aclmdlLoadFromMem | aclmdlLoadFromFileWithMem |
  * aclmdlLoadFromMemWithMem
  */
-ACL_FUNC_VISIBILITY aclError aclmdlExecuteAsync(uint32_t modelId, const aclmdlDataset *input,
-                                                aclmdlDataset *output, aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclmdlExecuteAsync(uint32_t modelId, const aclmdlDataset *input, aclmdlDataset *output,
+                                                aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -647,7 +644,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlGetCurOutputDims(const aclmdlDesc *modelDesc,
  * @param modelDesc [IN]   model description
  * @param opName [IN]      op name
  * @param attr [IN]        attr name
- * 
+ *
  * @retval the attr value
  */
 ACL_FUNC_VISIBILITY const char *aclmdlGetOpAttr(aclmdlDesc *modelDesc, const char *opName, const char *attr);
@@ -859,11 +856,11 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPInputFormat(aclmdlAIPP *aippParmsSet,
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPCscParams(aclmdlAIPP *aippParmsSet, int8_t csc_switch,
-                                                    int16_t cscMatrixR0C0, int16_t cscMatrixR0C1, int16_t cscMatrixR0C2,
-                                                    int16_t cscMatrixR1C0, int16_t cscMatrixR1C1, int16_t cscMatrixR1C2,
-                                                    int16_t cscMatrixR2C0, int16_t cscMatrixR2C1, int16_t cscMatrixR2C2,
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPCscParams(aclmdlAIPP *aippParmsSet, int8_t csc_switch, int16_t cscMatrixR0C0,
+                                                    int16_t cscMatrixR0C1, int16_t cscMatrixR0C2, int16_t cscMatrixR1C0,
+                                                    int16_t cscMatrixR1C1, int16_t cscMatrixR1C2, int16_t cscMatrixR2C0,
+                                                    int16_t cscMatrixR2C1, int16_t cscMatrixR2C2,
                                                     uint8_t cscOutputBiasR0, uint8_t cscOutputBiasR1,
                                                     uint8_t cscOutputBiasR2, uint8_t cscInputBiasR0,
                                                     uint8_t cscInputBiasR1, uint8_t cscInputBiasR2);
@@ -879,7 +876,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPCscParams(aclmdlAIPP *aippParmsSet, in
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPRbuvSwapSwitch(aclmdlAIPP *aippParmsSet, int8_t rbuvSwapSwitch);
 
 /**
@@ -893,7 +890,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPRbuvSwapSwitch(aclmdlAIPP *aippParmsSe
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPAxSwapSwitch(aclmdlAIPP *aippParmsSet, int8_t axSwapSwitch);
 
 /**
@@ -908,7 +905,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPAxSwapSwitch(aclmdlAIPP *aippParmsSet,
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPSrcImageSize(aclmdlAIPP *aippParmsSet, int32_t srcImageSizeW,
                                                        int32_t srcImageSizeH);
 
@@ -928,14 +925,10 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPSrcImageSize(aclmdlAIPP *aippParmsSet,
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPScfParams(aclmdlAIPP *aippParmsSet,
-                                                    int8_t scfSwitch,
-                                                    int32_t scfInputSizeW,
-                                                    int32_t scfInputSizeH,
-                                                    int32_t scfOutputSizeW,
-                                                    int32_t scfOutputSizeH,
-                                                    uint64_t batchIndex);
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPScfParams(aclmdlAIPP *aippParmsSet, int8_t scfSwitch, int32_t scfInputSizeW,
+                                                    int32_t scfInputSizeH, int32_t scfOutputSizeW,
+                                                    int32_t scfOutputSizeH, uint64_t batchIndex);
 
 /**
  * @ingroup AscendCL
@@ -953,13 +946,9 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPScfParams(aclmdlAIPP *aippParmsSet,
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPCropParams(aclmdlAIPP *aippParmsSet,
-                                                     int8_t cropSwitch,
-                                                     int32_t cropStartPosW,
-                                                     int32_t cropStartPosH,
-                                                     int32_t cropSizeW,
-                                                     int32_t cropSizeH,
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPCropParams(aclmdlAIPP *aippParmsSet, int8_t cropSwitch, int32_t cropStartPosW,
+                                                     int32_t cropStartPosH, int32_t cropSizeW, int32_t cropSizeH,
                                                      uint64_t batchIndex);
 
 /**
@@ -978,7 +967,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPCropParams(aclmdlAIPP *aippParmsSet,
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPPaddingParams(aclmdlAIPP *aippParmsSet, int8_t paddingSwitch,
                                                         int32_t paddingSizeTop, int32_t paddingSizeBottom,
                                                         int32_t paddingSizeLeft, int32_t paddingSizeRight,
@@ -999,13 +988,10 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPPaddingParams(aclmdlAIPP *aippParmsSet
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPDtcPixelMean(aclmdlAIPP *aippParmsSet,
-                                                       int16_t dtcPixelMeanChn0,
-                                                       int16_t dtcPixelMeanChn1,
-                                                       int16_t dtcPixelMeanChn2,
-                                                       int16_t dtcPixelMeanChn3,
-                                                       uint64_t batchIndex);
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPDtcPixelMean(aclmdlAIPP *aippParmsSet, int16_t dtcPixelMeanChn0,
+                                                       int16_t dtcPixelMeanChn1, int16_t dtcPixelMeanChn2,
+                                                       int16_t dtcPixelMeanChn3, uint64_t batchIndex);
 
 /**
  * @ingroup AscendCL
@@ -1022,13 +1008,10 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPDtcPixelMean(aclmdlAIPP *aippParmsSet,
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPDtcPixelMin(aclmdlAIPP *aippParmsSet,
-                                                      float dtcPixelMinChn0,
-                                                      float dtcPixelMinChn1,
-                                                      float dtcPixelMinChn2,
-                                                      float dtcPixelMinChn3,
-                                                      uint64_t batchIndex);
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPDtcPixelMin(aclmdlAIPP *aippParmsSet, float dtcPixelMinChn0,
+                                                      float dtcPixelMinChn1, float dtcPixelMinChn2,
+                                                      float dtcPixelMinChn3, uint64_t batchIndex);
 
 /**
  * @ingroup AscendCL
@@ -1045,13 +1028,10 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPDtcPixelMin(aclmdlAIPP *aippParmsSet,
  * @retval OtherValues Failure
  *
  * @see aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPPixelVarReci(aclmdlAIPP *aippParmsSet,
-                                                       float dtcPixelVarReciChn0,
-                                                       float dtcPixelVarReciChn1,
-                                                       float dtcPixelVarReciChn2,
-                                                       float dtcPixelVarReciChn3,
-                                                       uint64_t batchIndex);
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPPixelVarReci(aclmdlAIPP *aippParmsSet, float dtcPixelVarReciChn0,
+                                                       float dtcPixelVarReciChn1, float dtcPixelVarReciChn2,
+                                                       float dtcPixelVarReciChn3, uint64_t batchIndex);
 
 /**
  * @ingroup AscendCL
@@ -1067,10 +1047,8 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPPixelVarReci(aclmdlAIPP *aippParmsSet,
  *
  * @see aclmdlLoadFromFile | aclmdlLoadFromMem | aclmdlLoadFromFileWithMem |
  * aclmdlLoadFromMemWithMem | aclmdlGetInputIndexByName | aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlSetInputAIPP(uint32_t modelId,
-                                                aclmdlDataset *dataset,
-                                                size_t index,
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlSetInputAIPP(uint32_t modelId, aclmdlDataset *dataset, size_t index,
                                                 const aclmdlAIPP *aippParmsSet);
 
 /**
@@ -1087,10 +1065,8 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetInputAIPP(uint32_t modelId,
  *
  * @see aclmdlLoadFromFile | aclmdlLoadFromMem | aclmdlLoadFromFileWithMem |
  * aclmdlLoadFromMemWithMem | aclmdlGetInputIndexByName | aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPByInputIndex(uint32_t modelId,
-                                                       aclmdlDataset *dataset,
-                                                       size_t index,
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPByInputIndex(uint32_t modelId, aclmdlDataset *dataset, size_t index,
                                                        const aclmdlAIPP *aippParmsSet);
 
 /**
@@ -1108,10 +1084,8 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetAIPPByInputIndex(uint32_t modelId,
  *
  * @see aclmdlLoadFromFile | aclmdlLoadFromMem | aclmdlLoadFromFileWithMem |
  * aclmdlLoadFromMemWithMem | aclmdlGetInputIndexByName | aclmdlCreateAIPP
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlGetAippType(uint32_t modelId,
-                                               size_t index,
-                                               aclmdlInputAippType *type,
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlGetAippType(uint32_t modelId, size_t index, aclmdlInputAippType *type,
                                                size_t *dynamicAttachedDataIndex);
 
 /**
@@ -1128,7 +1102,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlGetAippType(uint32_t modelId,
  *
  * @see aclmdlLoadFromFile | aclmdlLoadFromMem | aclmdlLoadFromFileWithMem |
  * aclmdlLoadFromMemWithMem | aclmdlGetInputIndexByName
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlGetFirstAippInfo(uint32_t modelId, size_t index, aclAippInfo *aippinfo);
 
 /**
@@ -1147,10 +1121,11 @@ ACL_FUNC_VISIBILITY aclError aclmdlGetFirstAippInfo(uint32_t modelId, size_t ind
  *
  * @retval ACL_SUCCESS The function is successfully executed
  * @retval OtherValues Failure
-*/
-ACL_FUNC_VISIBILITY aclError aclmdlCreateAndGetOpDesc(uint32_t deviceId, uint32_t streamId,
-    uint32_t taskId, char *opName, size_t opNameLen, aclTensorDesc **inputDesc, size_t *numInputs,
-    aclTensorDesc **outputDesc, size_t *numOutputs);
+ */
+ACL_FUNC_VISIBILITY aclError aclmdlCreateAndGetOpDesc(uint32_t deviceId, uint32_t streamId, uint32_t taskId,
+                                                      char *opName, size_t opNameLen, aclTensorDesc **inputDesc,
+                                                      size_t *numInputs, aclTensorDesc **outputDesc,
+                                                      size_t *numOutputs);
 
 /**
  * @ingroup AscendCL
@@ -1158,7 +1133,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlCreateAndGetOpDesc(uint32_t deviceId, uint32_
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlInitDump();
 
 /**
@@ -1169,7 +1144,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlInitDump();
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlSetDump(const char *dumpCfgPath);
 
 /**
@@ -1178,7 +1153,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlSetDump(const char *dumpCfgPath);
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlFinalizeDump();
 
 /**
@@ -1190,7 +1165,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlFinalizeDump();
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
-*/
+ */
 ACL_FUNC_VISIBILITY aclError aclmdlLoadWithConfig(const aclmdlConfigHandle *handle, uint32_t *modelId);
 
 /**
@@ -1200,7 +1175,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlLoadWithConfig(const aclmdlConfigHandle *hand
  * @retval the aclmdlConfigHandle pointer
  *
  * @see aclmdlDestroyConfigHandle
-*/
+ */
 ACL_FUNC_VISIBILITY aclmdlConfigHandle *aclmdlCreateConfigHandle();
 
 /**
@@ -1229,7 +1204,7 @@ ACL_FUNC_VISIBILITY aclError aclmdlDestroyConfigHandle(aclmdlConfigHandle *handl
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclmdlSetConfigOpt(aclmdlConfigHandle *handle, aclmdlConfigAttr attr,
-    const void *attrValue, size_t valueSize);
+                                                const void *attrValue, size_t valueSize);
 
 /**
  * @ingroup AscendCL
@@ -1247,4 +1222,4 @@ ACL_FUNC_VISIBILITY const char *aclmdlGetTensorRealName(const aclmdlDesc *modelD
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_ACL_MODEL_H_
+#endif  // INC_EXTERNAL_ACL_ACL_MODEL_H_

inc/external/acl/acl_op.h

@@ -33,9 +33,9 @@ typedef void (*aclDataDeallocator)(void *data, size_t length);
 static const int ACL_COMPILE_FLAG_BIN_SELECTOR = 1;
 
 typedef enum aclEngineType {
-    ACL_ENGINE_SYS,
-    ACL_ENGINE_AICORE,
-    ACL_ENGINE_VECTOR,
+  ACL_ENGINE_SYS,
+  ACL_ENGINE_AICORE,
+  ACL_ENGINE_VECTOR,
 } aclopEngineType;
 
 /**
@@ -148,7 +148,7 @@ ACL_FUNC_VISIBILITY aclError aclopSetAttrString(aclopAttr *attr, const char *att
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclopSetAttrListBool(aclopAttr *attr, const char *attrName, int numValues,
-    const uint8_t *values);
+                                                  const uint8_t *values);
 
 /**
  * @ingroup AscendCL
@@ -163,7 +163,7 @@ ACL_FUNC_VISIBILITY aclError aclopSetAttrListBool(aclopAttr *attr, const char *a
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclopSetAttrListInt(aclopAttr *attr, const char *attrName, int numValues,
-    const int64_t *values);
+                                                 const int64_t *values);
 
 /**
  * @ingroup AscendCL
@@ -178,7 +178,7 @@ ACL_FUNC_VISIBILITY aclError aclopSetAttrListInt(aclopAttr *attr, const char *at
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclopSetAttrListFloat(aclopAttr *attr, const char *attrName, int numValues,
-    const float *values);
+                                                   const float *values);
 
 /**
  * @ingroup AscendCL
@@ -193,7 +193,7 @@ ACL_FUNC_VISIBILITY aclError aclopSetAttrListFloat(aclopAttr *attr, const char *
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclopSetAttrListString(aclopAttr *attr, const char *attrName, int numValues,
-    const char **values);
+                                                    const char **values);
 
 /**
  * @ingroup AscendCL
@@ -208,11 +208,8 @@ ACL_FUNC_VISIBILITY aclError aclopSetAttrListString(aclopAttr *attr, const char
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopSetAttrListListInt(aclopAttr *attr,
-                                                     const char *attrName,
-                                                     int numLists,
-                                                     const int *numValues,
-                                                     const int64_t *const values[]);
+ACL_FUNC_VISIBILITY aclError aclopSetAttrListListInt(aclopAttr *attr, const char *attrName, int numLists,
+                                                     const int *numValues, const int64_t *const values[]);
 
 /**
  * @ingroup AscendCL
@@ -242,15 +239,10 @@ ACL_FUNC_VISIBILITY aclError aclopSetAttrListListInt(aclopAttr *attr,
  * @retval OtherValues Failure
  */
 ACL_DEPRECATED_MESSAGE("aclopExecute is deprecated, use aclopExecuteV2 instead")
-ACL_FUNC_VISIBILITY aclError aclopExecute(const char *opType,
-                                          int numInputs,
-                                          const aclTensorDesc *const inputDesc[],
-                                          const aclDataBuffer *const inputs[],
-                                          int numOutputs,
-                                          const aclTensorDesc *const outputDesc[],
-                                          aclDataBuffer *const outputs[],
-                                          const aclopAttr *attr,
-                                          aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclopExecute(const char *opType, int numInputs, const aclTensorDesc *const inputDesc[],
+                                          const aclDataBuffer *const inputs[], int numOutputs,
+                                          const aclTensorDesc *const outputDesc[], aclDataBuffer *const outputs[],
+                                          const aclopAttr *attr, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -280,15 +272,9 @@ ACL_FUNC_VISIBILITY aclError aclopExecute(const char *opType,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopExecuteV2(const char *opType,
-                                            int numInputs,
-                                            aclTensorDesc *inputDesc[],
-                                            aclDataBuffer *inputs[],
-                                            int numOutputs,
-                                            aclTensorDesc *outputDesc[],
-                                            aclDataBuffer *outputs[],
-                                            aclopAttr *attr,
-                                            aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclopExecuteV2(const char *opType, int numInputs, aclTensorDesc *inputDesc[],
+                                            aclDataBuffer *inputs[], int numOutputs, aclTensorDesc *outputDesc[],
+                                            aclDataBuffer *outputs[], aclopAttr *attr, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -306,12 +292,9 @@ ACL_FUNC_VISIBILITY aclError aclopExecuteV2(const char *opType,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopCreateHandle(const char *opType,
-                                               int numInputs,
-                                               const aclTensorDesc *const inputDesc[],
-                                               int numOutputs,
-                                               const aclTensorDesc *const outputDesc[],
-                                               const aclopAttr *opAttr,
+ACL_FUNC_VISIBILITY aclError aclopCreateHandle(const char *opType, int numInputs,
+                                               const aclTensorDesc *const inputDesc[], int numOutputs,
+                                               const aclTensorDesc *const outputDesc[], const aclopAttr *opAttr,
                                                aclopHandle **handle);
 
 /**
@@ -343,12 +326,9 @@ ACL_FUNC_VISIBILITY void aclopDestroyHandle(aclopHandle *handle);
  *
  * @see aclopCreateHandle | aclCreateDataBuffer
  */
-ACL_FUNC_VISIBILITY aclError aclopExecWithHandle(aclopHandle *handle,
-                                                 int numInputs,
-                                                 const aclDataBuffer *const inputs[],
-                                                 int numOutputs,
-                                                 aclDataBuffer *const outputs[],
-                                                 aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclopExecWithHandle(aclopHandle *handle, int numInputs,
+                                                 const aclDataBuffer *const inputs[], int numOutputs,
+                                                 aclDataBuffer *const outputs[], aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -364,11 +344,8 @@ ACL_FUNC_VISIBILITY aclError aclopExecWithHandle(aclopHandle *handle,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopCast(const aclTensorDesc *srcDesc,
-                                       const aclDataBuffer *srcBuffer,
-                                       const aclTensorDesc *dstDesc,
-                                       aclDataBuffer *dstBuffer,
-                                       uint8_t truncate,
+ACL_FUNC_VISIBILITY aclError aclopCast(const aclTensorDesc *srcDesc, const aclDataBuffer *srcBuffer,
+                                       const aclTensorDesc *dstDesc, aclDataBuffer *dstBuffer, uint8_t truncate,
                                        aclrtStream stream);
 
 /**
@@ -383,12 +360,9 @@ ACL_FUNC_VISIBILITY aclError aclopCast(const aclTensorDesc *srcDesc,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopCreateHandleForCast(aclTensorDesc *srcDesc,
-                                                      aclTensorDesc *dstDesc,
-                                                      uint8_t truncate,
+ACL_FUNC_VISIBILITY aclError aclopCreateHandleForCast(aclTensorDesc *srcDesc, aclTensorDesc *dstDesc, uint8_t truncate,
                                                       aclopHandle **handle);
 
-
 /**
  * @ingroup AscendCL
  * @brief create kernel
@@ -407,15 +381,10 @@ ACL_FUNC_VISIBILITY aclError aclopCreateHandleForCast(aclTensorDesc *srcDesc,
  *
  * @see aclopCompile
  */
-ACL_FUNC_VISIBILITY aclError aclopCreateKernel(const char *opType,
-                                               const char *kernelId,
-                                               const char *kernelName,
-                                               void *binData,
-                                               int binSize,
-                                               aclopEngineType enginetype,
+ACL_FUNC_VISIBILITY aclError aclopCreateKernel(const char *opType, const char *kernelId, const char *kernelName,
+                                               void *binData, int binSize, aclopEngineType enginetype,
                                                aclDataDeallocator deallocator);
 
-
 /**
  * @ingroup AscendCL
  * @brief create kernel
@@ -430,11 +399,8 @@ ACL_FUNC_VISIBILITY aclError aclopCreateKernel(const char *opType,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-typedef aclError (*aclopCompileFunc)(int numInputs,
-                                     const aclTensorDesc *const inputDesc[],
-                                     int numOutputs,
-                                     const aclTensorDesc *const outputDesc[],
-                                     const aclopAttr *opAttr,
+typedef aclError (*aclopCompileFunc)(int numInputs, const aclTensorDesc *const inputDesc[], int numOutputs,
+                                     const aclTensorDesc *const outputDesc[], const aclopAttr *opAttr,
                                      aclopKernelDesc *aclopKernelDesc);
 
 /**
@@ -475,11 +441,8 @@ ACL_FUNC_VISIBILITY aclError aclopUnregisterCompileFunc(const char *opType);
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopSetKernelArgs(aclopKernelDesc *kernelDesc,
-                                                const char *kernelId,
-                                                uint32_t blockDim,
-                                                const void *args,
-                                                uint32_t argSize);
+ACL_FUNC_VISIBILITY aclError aclopSetKernelArgs(aclopKernelDesc *kernelDesc, const char *kernelId, uint32_t blockDim,
+                                                const void *args, uint32_t argSize);
 
 /**
  * @ingroup AscendCL
@@ -510,12 +473,9 @@ ACL_FUNC_VISIBILITY aclError aclopSetKernelWorkspaceSizes(aclopKernelDesc *kerne
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopUpdateParams(const char *opType,
-                                               int numInputs,
-                                               const aclTensorDesc *const inputDesc[],
-                                               int numOutputs,
-                                               const aclTensorDesc *const outputDesc[],
-                                               const aclopAttr *attr);
+ACL_FUNC_VISIBILITY aclError aclopUpdateParams(const char *opType, int numInputs,
+                                               const aclTensorDesc *const inputDesc[], int numOutputs,
+                                               const aclTensorDesc *const outputDesc[], const aclopAttr *attr);
 
 /**
  * @ingroup AscendCL
@@ -533,17 +493,12 @@ ACL_FUNC_VISIBILITY aclError aclopUpdateParams(const char *opType,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopInferShape(const char *opType,
-                                             int numInputs,
-                                             aclTensorDesc *inputDesc[],
-                                             aclDataBuffer *inputs[],
-                                             int numOutputs,
-                                             aclTensorDesc *outputDesc[],
+ACL_FUNC_VISIBILITY aclError aclopInferShape(const char *opType, int numInputs, aclTensorDesc *inputDesc[],
+                                             aclDataBuffer *inputs[], int numOutputs, aclTensorDesc *outputDesc[],
                                              aclopAttr *attr);
 
-
 #ifdef __cplusplus
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_ACL_OP_H_
+#endif  // INC_EXTERNAL_ACL_ACL_OP_H_

inc/external/acl/acl_op_compiler.h

@@ -24,28 +24,22 @@
 extern "C" {
 #endif
 
-typedef enum aclCompileType {
-    ACL_COMPILE_SYS,
-    ACL_COMPILE_UNREGISTERED
-} aclopCompileType;
+typedef enum aclCompileType { ACL_COMPILE_SYS, ACL_COMPILE_UNREGISTERED } aclopCompileType;
 
 typedef enum {
-    ACL_PRECISION_MODE,
-    ACL_AICORE_NUM,
-    ACL_AUTO_TUNE_MODE,
-    ACL_OP_SELECT_IMPL_MODE,
-    ACL_OPTYPELIST_FOR_IMPLMODE,
-    ACL_OP_DEBUG_LEVEL,
-    ACL_DEBUG_DIR,
-    ACL_OP_COMPILER_CACHE_MODE,
-    ACL_OP_COMPILER_CACHE_DIR,
-    ACL_OP_PERFORMANCE_MODE
+  ACL_PRECISION_MODE,
+  ACL_AICORE_NUM,
+  ACL_AUTO_TUNE_MODE,
+  ACL_OP_SELECT_IMPL_MODE,
+  ACL_OPTYPELIST_FOR_IMPLMODE,
+  ACL_OP_DEBUG_LEVEL,
+  ACL_DEBUG_DIR,
+  ACL_OP_COMPILER_CACHE_MODE,
+  ACL_OP_COMPILER_CACHE_DIR,
+  ACL_OP_PERFORMANCE_MODE
 } aclCompileOpt;
 
-typedef enum aclCompileFlag {
-    ACL_OP_COMPILE_DEFAULT,
-    ACL_OP_COMPILE_FUZZ
-} aclOpCompileFlag;
+typedef enum aclCompileFlag { ACL_OP_COMPILE_DEFAULT, ACL_OP_COMPILE_FUZZ } aclOpCompileFlag;
 
 /**
  * @ingroup AscendCL
@@ -65,15 +59,10 @@ typedef enum aclCompileFlag {
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopCompile(const char *opType,
-                                          int numInputs,
-                                          const aclTensorDesc *const inputDesc[],
-                                          int numOutputs,
-                                          const aclTensorDesc *const outputDesc[],
-                                          const aclopAttr *attr,
-                                          aclopEngineType engineType,
-                                          aclopCompileType compileFlag,
-                                          const char *opPath);
+ACL_FUNC_VISIBILITY aclError aclopCompile(const char *opType, int numInputs, const aclTensorDesc *const inputDesc[],
+                                          int numOutputs, const aclTensorDesc *const outputDesc[],
+                                          const aclopAttr *attr, aclopEngineType engineType,
+                                          aclopCompileType compileFlag, const char *opPath);
 
 /**
  * @ingroup AscendCL
@@ -96,11 +85,10 @@ ACL_FUNC_VISIBILITY aclError aclopCompile(const char *opType,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclopCompileAndExecute(const char *opType,
-    int numInputs, const aclTensorDesc *const inputDesc[], const aclDataBuffer *const inputs[],
-    int numOutputs, const aclTensorDesc *const outputDesc[], aclDataBuffer *const outputs[],
-    const aclopAttr *attr, aclopEngineType engineType, aclopCompileType compileFlag,
-    const char *opPath, aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclopCompileAndExecute(
+  const char *opType, int numInputs, const aclTensorDesc *const inputDesc[], const aclDataBuffer *const inputs[],
+  int numOutputs, const aclTensorDesc *const outputDesc[], aclDataBuffer *const outputs[], const aclopAttr *attr,
+  aclopEngineType engineType, aclopCompileType compileFlag, const char *opPath, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -130,4 +118,4 @@ ACL_FUNC_VISIBILITY aclError aclopSetCompileFlag(aclOpCompileFlag flag);
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_ACL_OP_COMPILER_H_
+#endif  // INC_EXTERNAL_ACL_ACL_OP_COMPILER_H_

inc/external/acl/acl_prof.h

@@ -23,24 +23,24 @@
 extern "C" {
 #endif
 
-#define ACL_PROF_ACL_API                0x0001
-#define ACL_PROF_TASK_TIME              0x0002
-#define ACL_PROF_AICORE_METRICS         0x0004
-#define ACL_PROF_AICPU                  0x0008
+#define ACL_PROF_ACL_API 0x0001
+#define ACL_PROF_TASK_TIME 0x0002
+#define ACL_PROF_AICORE_METRICS 0x0004
+#define ACL_PROF_AICPU 0x0008
 
 /**
  * @deprecated please use aclprofGetOpTypeLen and aclprofGetOpTNameLen instead
  */
-#define ACL_PROF_MAX_OP_NAME_LEN        257
-#define ACL_PROF_MAX_OP_TYPE_LEN        65
+#define ACL_PROF_MAX_OP_NAME_LEN 257
+#define ACL_PROF_MAX_OP_TYPE_LEN 65
 
 typedef enum {
-    ACL_AICORE_ARITHMETIC_UTILIZATION = 0,
-    ACL_AICORE_PIPE_UTILIZATION = 1,
-    ACL_AICORE_MEMORY_BANDWIDTH = 2,
-    ACL_AICORE_L0B_AND_WIDTH = 3,
-    ACL_AICORE_RESOURCE_CONFLICT_RATIO = 4,
-    ACL_AICORE_NONE = 0xFF
+  ACL_AICORE_ARITHMETIC_UTILIZATION = 0,
+  ACL_AICORE_PIPE_UTILIZATION = 1,
+  ACL_AICORE_MEMORY_BANDWIDTH = 2,
+  ACL_AICORE_L0B_AND_WIDTH = 3,
+  ACL_AICORE_RESOURCE_CONFLICT_RATIO = 4,
+  ACL_AICORE_NONE = 0xFF
 } aclprofAicoreMetrics;
 
 typedef struct aclprofConfig aclprofConfig;
@@ -101,7 +101,8 @@ ACL_FUNC_VISIBILITY aclError aclprofStart(const aclprofConfig *profilerConfig);
  * @see aclprofDestroyConfig
  */
 ACL_FUNC_VISIBILITY aclprofConfig *aclprofCreateConfig(uint32_t *deviceIdList, uint32_t deviceNums,
-    aclprofAicoreMetrics aicoreMetrics, aclprofAicoreEvents *aicoreEvents, uint64_t dataTypeConfig);
+                                                       aclprofAicoreMetrics aicoreMetrics,
+                                                       aclprofAicoreEvents *aicoreEvents, uint64_t dataTypeConfig);
 
 /**
  * @ingroup AscendCL
@@ -141,8 +142,7 @@ ACL_FUNC_VISIBILITY aclError aclprofStop(const aclprofConfig *profilerConfig);
  *
  * @see aclprofModelUnSubscribe
  */
-ACL_FUNC_VISIBILITY aclError aclprofModelSubscribe(uint32_t modelId,
-    const aclprofSubscribeConfig *profSubscribeConfig);
+ACL_FUNC_VISIBILITY aclError aclprofModelSubscribe(uint32_t modelId, const aclprofSubscribeConfig *profSubscribeConfig);
 
 /**
  * @ingroup AscendCL
@@ -170,7 +170,7 @@ ACL_FUNC_VISIBILITY aclError aclprofModelUnSubscribe(uint32_t modelId);
  * @see aclprofDestroySubscribeConfig
  */
 ACL_FUNC_VISIBILITY aclprofSubscribeConfig *aclprofCreateSubscribeConfig(int8_t timeInfoSwitch,
-    aclprofAicoreMetrics aicoreMetrics, void *fd);
+                                                                         aclprofAicoreMetrics aicoreMetrics, void *fd);
 
 /**
  * @ingroup AscendCL
@@ -222,7 +222,7 @@ ACL_FUNC_VISIBILITY aclError aclprofGetOpNum(const void *opInfo, size_t opInfoLe
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclprofGetOpTypeLen(const void *opInfo, size_t opInfoLen, uint32_t index,
-    size_t *opTypeLen);
+                                                 size_t *opTypeLen);
 
 /**
  * @ingroup AscendCL
@@ -237,8 +237,8 @@ ACL_FUNC_VISIBILITY aclError aclprofGetOpTypeLen(const void *opInfo, size_t opIn
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclprofGetOpType(const void *opInfo, size_t opInfoLen, uint32_t index,
-    char *opType, size_t opTypeLen);
+ACL_FUNC_VISIBILITY aclError aclprofGetOpType(const void *opInfo, size_t opInfoLen, uint32_t index, char *opType,
+                                              size_t opTypeLen);
 
 /**
  * @ingroup AscendCL
@@ -253,7 +253,7 @@ ACL_FUNC_VISIBILITY aclError aclprofGetOpType(const void *opInfo, size_t opInfoL
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError aclprofGetOpNameLen(const void *opInfo, size_t opInfoLen, uint32_t index,
-    size_t *opNameLen);
+                                                 size_t *opNameLen);
 
 /**
  * @ingroup AscendCL
@@ -268,8 +268,8 @@ ACL_FUNC_VISIBILITY aclError aclprofGetOpNameLen(const void *opInfo, size_t opIn
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclprofGetOpName(const void *opInfo, size_t opInfoLen, uint32_t index,
-    char *opName, size_t opNameLen);
+ACL_FUNC_VISIBILITY aclError aclprofGetOpName(const void *opInfo, size_t opInfoLen, uint32_t index, char *opName,
+                                              size_t opNameLen);
 
 /**
  * @ingroup AscendCL
@@ -326,4 +326,4 @@ ACL_FUNC_VISIBILITY size_t aclprofGetModelId(const void *opInfo, size_t opInfoLe
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_PROF_H_
+#endif  // INC_EXTERNAL_ACL_PROF_H_

inc/external/acl/acl_rt.h

@@ -28,63 +28,63 @@ extern "C" {
 #define ACL_EVENT_TIME_LINE 0x00000008u
 
 typedef enum aclrtRunMode {
-    ACL_DEVICE,
-    ACL_HOST,
+  ACL_DEVICE,
+  ACL_HOST,
 } aclrtRunMode;
 
 typedef enum aclrtTsId {
-    ACL_TS_ID_AICORE   = 0,
-    ACL_TS_ID_AIVECTOR = 1,
-    ACL_TS_ID_RESERVED = 2,
+  ACL_TS_ID_AICORE = 0,
+  ACL_TS_ID_AIVECTOR = 1,
+  ACL_TS_ID_RESERVED = 2,
 } aclrtTsId;
 
 typedef enum aclrtEventStatus {
-    ACL_EVENT_STATUS_COMPLETE  = 0,
-    ACL_EVENT_STATUS_NOT_READY = 1,
-    ACL_EVENT_STATUS_RESERVED  = 2,
+  ACL_EVENT_STATUS_COMPLETE = 0,
+  ACL_EVENT_STATUS_NOT_READY = 1,
+  ACL_EVENT_STATUS_RESERVED = 2,
 } aclrtEventStatus;
 
 typedef enum aclrtCallbackBlockType {
-    ACL_CALLBACK_NO_BLOCK,
-    ACL_CALLBACK_BLOCK,
+  ACL_CALLBACK_NO_BLOCK,
+  ACL_CALLBACK_BLOCK,
 } aclrtCallbackBlockType;
 
 typedef enum aclrtMemcpyKind {
-    ACL_MEMCPY_HOST_TO_HOST,
-    ACL_MEMCPY_HOST_TO_DEVICE,
-    ACL_MEMCPY_DEVICE_TO_HOST,
-    ACL_MEMCPY_DEVICE_TO_DEVICE,
+  ACL_MEMCPY_HOST_TO_HOST,
+  ACL_MEMCPY_HOST_TO_DEVICE,
+  ACL_MEMCPY_DEVICE_TO_HOST,
+  ACL_MEMCPY_DEVICE_TO_DEVICE,
 } aclrtMemcpyKind;
 
 typedef enum aclrtMemMallocPolicy {
-    ACL_MEM_MALLOC_HUGE_FIRST,
-    ACL_MEM_MALLOC_HUGE_ONLY,
-    ACL_MEM_MALLOC_NORMAL_ONLY,
-    ACL_MEM_MALLOC_HUGE_FIRST_P2P,
-    ACL_MEM_MALLOC_HUGE_ONLY_P2P,
-    ACL_MEM_MALLOC_NORMAL_ONLY_P2P,
+  ACL_MEM_MALLOC_HUGE_FIRST,
+  ACL_MEM_MALLOC_HUGE_ONLY,
+  ACL_MEM_MALLOC_NORMAL_ONLY,
+  ACL_MEM_MALLOC_HUGE_FIRST_P2P,
+  ACL_MEM_MALLOC_HUGE_ONLY_P2P,
+  ACL_MEM_MALLOC_NORMAL_ONLY_P2P,
 } aclrtMemMallocPolicy;
 
 typedef enum aclrtMemAttr {
-    ACL_DDR_MEM,
-    ACL_HBM_MEM,
-    ACL_DDR_MEM_HUGE,
-    ACL_DDR_MEM_NORMAL,
-    ACL_HBM_MEM_HUGE,
-    ACL_HBM_MEM_NORMAL,
-    ACL_DDR_MEM_P2P_HUGE,
-    ACL_DDR_MEM_P2P_NORMAL,
-    ACL_HBM_MEM_P2P_HUGE,
-    ACL_HBM_MEM_P2P_NORMAL,
+  ACL_DDR_MEM,
+  ACL_HBM_MEM,
+  ACL_DDR_MEM_HUGE,
+  ACL_DDR_MEM_NORMAL,
+  ACL_HBM_MEM_HUGE,
+  ACL_HBM_MEM_NORMAL,
+  ACL_DDR_MEM_P2P_HUGE,
+  ACL_DDR_MEM_P2P_NORMAL,
+  ACL_HBM_MEM_P2P_HUGE,
+  ACL_HBM_MEM_P2P_NORMAL,
 } aclrtMemAttr;
 
 typedef enum aclrtGroupAttr {
-    ACL_GROUP_AICORE_INT,
-    ACL_GROUP_AIV_INT,
-    ACL_GROUP_AIC_INT,
-    ACL_GROUP_SDMANUM_INT,
-    ACL_GROUP_ASQNUM_INT,
-    ACL_GROUP_GROUPID_INT
+  ACL_GROUP_AICORE_INT,
+  ACL_GROUP_AIV_INT,
+  ACL_GROUP_AIC_INT,
+  ACL_GROUP_SDMANUM_INT,
+  ACL_GROUP_ASQNUM_INT,
+  ACL_GROUP_GROUPID_INT
 } aclrtGroupAttr;
 
 typedef struct tagRtGroupInfo aclrtGroupInfo;
@@ -487,7 +487,7 @@ ACL_FUNC_VISIBILITY aclError aclrtRecordEvent(aclrtEvent event, aclrtStream stre
  */
 ACL_FUNC_VISIBILITY aclError aclrtResetEvent(aclrtEvent event, aclrtStream stream);
 
- /**
+/**
  * @ingroup AscendCL
  * @brief Queries an event's status
  *
@@ -549,9 +549,7 @@ ACL_FUNC_VISIBILITY aclError aclrtEventElapsedTime(float *ms, aclrtEvent start,
  *
  * @see aclrtFree | acldvppMalloc | aclrtMallocCached
  */
-ACL_FUNC_VISIBILITY aclError aclrtMalloc(void **devPtr,
-                                         size_t size,
-                                         aclrtMemMallocPolicy policy);
+ACL_FUNC_VISIBILITY aclError aclrtMalloc(void **devPtr, size_t size, aclrtMemMallocPolicy policy);
 
 /**
  * @ingroup AscendCL
@@ -574,9 +572,7 @@ ACL_FUNC_VISIBILITY aclError aclrtMalloc(void **devPtr,
  *
  * @see aclrtFree | aclrtMalloc
  */
-ACL_FUNC_VISIBILITY aclError aclrtMallocCached(void **devPtr,
-                                               size_t size,
-                                               aclrtMemMallocPolicy policy);
+ACL_FUNC_VISIBILITY aclError aclrtMallocCached(void **devPtr, size_t size, aclrtMemMallocPolicy policy);
 
 /**
  * @ingroup AscendCL
@@ -667,10 +663,7 @@ ACL_FUNC_VISIBILITY aclError aclrtFreeHost(void *hostPtr);
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclrtMemcpy(void *dst,
-                                         size_t destMax,
-                                         const void *src,
-                                         size_t count,
+ACL_FUNC_VISIBILITY aclError aclrtMemcpy(void *dst, size_t destMax, const void *src, size_t count,
                                          aclrtMemcpyKind kind);
 
 /**
@@ -717,38 +710,31 @@ ACL_FUNC_VISIBILITY aclError aclrtMemset(void *devPtr, size_t maxCount, int32_t
  *
  * @see aclrtSynchronizeStream
  */
-ACL_FUNC_VISIBILITY aclError aclrtMemcpyAsync(void *dst,
-                                              size_t destMax,
-                                              const void *src,
-                                              size_t count,
-                                              aclrtMemcpyKind kind,
-                                              aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclrtMemcpyAsync(void *dst, size_t destMax, const void *src, size_t count,
+                                              aclrtMemcpyKind kind, aclrtStream stream);
 
 /**
-* @ingroup AscendCL
-* @brief Asynchronous initialize memory
-* and set contents of memory to specified value async
-*
-* @par Function
+ * @ingroup AscendCL
+ * @brief Asynchronous initialize memory
+ * and set contents of memory to specified value async
+ *
+ * @par Function
  *  The memory to be initialized is on the Host or device side,
  *  and the system determines whether
  *  it is host or device according to the address
  *
-* @param devPtr [IN]      destination address pointer
-* @param maxCount [IN]    Max length of destination address memory
-* @param value [IN]       set value
-* @param count [IN]       the number of byte to set
-* @param stream [IN]      asynchronized task stream
-*
-* @retval ACL_SUCCESS The function is successfully executed.
-* @retval OtherValues Failure
-*
-* @see aclrtSynchronizeStream
-*/
-ACL_FUNC_VISIBILITY aclError aclrtMemsetAsync(void *devPtr,
-                                              size_t maxCount,
-                                              int32_t value,
-                                              size_t count,
+ * @param devPtr [IN]      destination address pointer
+ * @param maxCount [IN]    Max length of destination address memory
+ * @param value [IN]       set value
+ * @param count [IN]       the number of byte to set
+ * @param stream [IN]      asynchronized task stream
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclrtSynchronizeStream
+ */
+ACL_FUNC_VISIBILITY aclError aclrtMemsetAsync(void *devPtr, size_t maxCount, int32_t value, size_t count,
                                               aclrtStream stream);
 
 /**
@@ -894,11 +880,8 @@ ACL_FUNC_VISIBILITY aclError aclrtGetAllGroupInfo(aclrtGroupInfo *groupInfo);
  *
  * @see aclrtGetGroupCount | aclrtGetAllGroupInfo
  */
-ACL_FUNC_VISIBILITY aclError aclrtGetGroupInfoDetail(const aclrtGroupInfo *groupInfo,
-                                                     int32_t groupIndex,
-                                                     aclrtGroupAttr attr,
-                                                     void *attrValue,
-                                                     size_t valueLen,
+ACL_FUNC_VISIBILITY aclError aclrtGetGroupInfoDetail(const aclrtGroupInfo *groupInfo, int32_t groupIndex,
+                                                     aclrtGroupAttr attr, void *attrValue, size_t valueLen,
                                                      size_t *paramRetSize);
 
 /**
@@ -972,5 +955,4 @@ ACL_FUNC_VISIBILITY aclError aclrtSetOpWaitTimeout(uint32_t timeout);
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_ACL_RT_H_
-
+#endif  // INC_EXTERNAL_ACL_ACL_RT_H_

inc/external/acl/acl_tdt.h

@@ -24,10 +24,10 @@ extern "C" {
 #endif
 
 enum acltdtTensorType {
-    ACL_TENSOR_DATA_UNDEFINED = -1,
-    ACL_TENSOR_DATA_TENSOR,
-    ACL_TENSOR_DATA_END_OF_SEQUENCE,
-    ACL_TENSOR_DATA_ABNORMAL
+  ACL_TENSOR_DATA_UNDEFINED = -1,
+  ACL_TENSOR_DATA_TENSOR,
+  ACL_TENSOR_DATA_END_OF_SEQUENCE,
+  ACL_TENSOR_DATA_ABNORMAL
 };
 
 typedef struct acltdtDataItem acltdtDataItem;
@@ -64,7 +64,7 @@ ACL_FUNC_VISIBILITY aclDataType acltdtGetDataTypeFromItem(const acltdtDataItem *
  *
  * @retval null for failed
  * @retval OtherValues success
-*/
+ */
 ACL_FUNC_VISIBILITY void *acltdtGetDataAddrFromItem(const acltdtDataItem *dataItem);
 
 /**
@@ -75,7 +75,7 @@ ACL_FUNC_VISIBILITY void *acltdtGetDataAddrFromItem(const acltdtDataItem *dataIt
  *
  * @retval 0 for failed
  * @retval OtherValues success
-*/
+ */
 ACL_FUNC_VISIBILITY size_t acltdtGetDataSizeFromItem(const acltdtDataItem *dataItem);
 
 /**
@@ -86,7 +86,7 @@ ACL_FUNC_VISIBILITY size_t acltdtGetDataSizeFromItem(const acltdtDataItem *dataI
  *
  * @retval 0 for failed
  * @retval OtherValues success
-*/
+ */
 ACL_FUNC_VISIBILITY size_t acltdtGetDimNumFromItem(const acltdtDataItem *dataItem);
 
 /**
@@ -118,12 +118,8 @@ ACL_FUNC_VISIBILITY aclError acltdtGetDimsFromItem(const acltdtDataItem *dataIte
  *
  * @see acltdtDestroyDataItem
  */
-ACL_FUNC_VISIBILITY acltdtDataItem *acltdtCreateDataItem(acltdtTensorType tdtType,
-                                                         const int64_t *dims,
-                                                         size_t dimNum,
-                                                         aclDataType dataType,
-                                                         void *data,
-                                                         size_t size);
+ACL_FUNC_VISIBILITY acltdtDataItem *acltdtCreateDataItem(acltdtTensorType tdtType, const int64_t *dims, size_t dimNum,
+                                                         aclDataType dataType, void *data, size_t size);
 
 /**
  * @ingroup AscendCL
@@ -254,8 +250,7 @@ ACL_FUNC_VISIBILITY aclError acltdtDestroyChannel(acltdtChannelHandle *handle);
  *
  * @see acltdtReceiveTensor
  */
-ACL_FUNC_VISIBILITY aclError acltdtSendTensor(const acltdtChannelHandle *handle,
-                                              const acltdtDataset *dataset,
+ACL_FUNC_VISIBILITY aclError acltdtSendTensor(const acltdtChannelHandle *handle, const acltdtDataset *dataset,
                                               int32_t timeout);
 
 /**
@@ -271,13 +266,11 @@ ACL_FUNC_VISIBILITY aclError acltdtSendTensor(const acltdtChannelHandle *handle,
  *
  * @see acltdtSendTensor
  */
-ACL_FUNC_VISIBILITY aclError acltdtReceiveTensor(const acltdtChannelHandle *handle,
-                                                 acltdtDataset *dataset,
+ACL_FUNC_VISIBILITY aclError acltdtReceiveTensor(const acltdtChannelHandle *handle, acltdtDataset *dataset,
                                                  int32_t timeout);
 
 #ifdef __cplusplus
 }
 #endif
 
-#endif //INC_EXTERNAL_ACL_ACL_TDT_H_
-
+#endif  // INC_EXTERNAL_ACL_ACL_TDT_H_

inc/external/acl/error_codes/rt_error_codes.h

@@ -23,84 +23,87 @@
 extern "C" {
 #endif
 
-static const int32_t ACL_RT_SUCCESS                          = 0; // success
+static const int32_t ACL_RT_SUCCESS = 0;  // success
 
-static const int32_t ACL_ERROR_RT_PARAM_INVALID              = 107000; // param invalid
-static const int32_t ACL_ERROR_RT_INVALID_DEVICEID           = 107001; // invalid device id
-static const int32_t ACL_ERROR_RT_CONTEXT_NULL               = 107002; // current context null
-static const int32_t ACL_ERROR_RT_STREAM_CONTEXT             = 107003; // stream not in current context
-static const int32_t ACL_ERROR_RT_MODEL_CONTEXT              = 107004; // model not in current context
-static const int32_t ACL_ERROR_RT_STREAM_MODEL               = 107005; // stream not in model
-static const int32_t ACL_ERROR_RT_EVENT_TIMESTAMP_INVALID    = 107006; // event timestamp invalid
-static const int32_t ACL_ERROR_RT_EVENT_TIMESTAMP_REVERSAL   = 107007; // event timestamp reversal
-static const int32_t ACL_ERROR_RT_ADDR_UNALIGNED             = 107008; // memory address unaligned
-static const int32_t ACL_ERROR_RT_FILE_OPEN                  = 107009; // open file failed
-static const int32_t ACL_ERROR_RT_FILE_WRITE                 = 107010; // write file failed
-static const int32_t ACL_ERROR_RT_STREAM_SUBSCRIBE           = 107011; // error subscribe stream
-static const int32_t ACL_ERROR_RT_THREAD_SUBSCRIBE           = 107012; // error subscribe thread
-static const int32_t ACL_ERROR_RT_GROUP_NOT_SET              = 107013; // group not set
-static const int32_t ACL_ERROR_RT_GROUP_NOT_CREATE           = 107014; // group not create
-static const int32_t ACL_ERROR_RT_STREAM_NO_CB_REG           = 107015; // callback not register to stream
-static const int32_t ACL_ERROR_RT_INVALID_MEMORY_TYPE        = 107016; // invalid memory type
-static const int32_t ACL_ERROR_RT_INVALID_HANDLE             = 107017; // invalid handle
-static const int32_t ACL_ERROR_RT_INVALID_MALLOC_TYPE        = 107018; // invalid malloc type
+static const int32_t ACL_ERROR_RT_PARAM_INVALID = 107000;             // param invalid
+static const int32_t ACL_ERROR_RT_INVALID_DEVICEID = 107001;          // invalid device id
+static const int32_t ACL_ERROR_RT_CONTEXT_NULL = 107002;              // current context null
+static const int32_t ACL_ERROR_RT_STREAM_CONTEXT = 107003;            // stream not in current context
+static const int32_t ACL_ERROR_RT_MODEL_CONTEXT = 107004;             // model not in current context
+static const int32_t ACL_ERROR_RT_STREAM_MODEL = 107005;              // stream not in model
+static const int32_t ACL_ERROR_RT_EVENT_TIMESTAMP_INVALID = 107006;   // event timestamp invalid
+static const int32_t ACL_ERROR_RT_EVENT_TIMESTAMP_REVERSAL = 107007;  // event timestamp reversal
+static const int32_t ACL_ERROR_RT_ADDR_UNALIGNED = 107008;            // memory address unaligned
+static const int32_t ACL_ERROR_RT_FILE_OPEN = 107009;                 // open file failed
+static const int32_t ACL_ERROR_RT_FILE_WRITE = 107010;                // write file failed
+static const int32_t ACL_ERROR_RT_STREAM_SUBSCRIBE = 107011;          // error subscribe stream
+static const int32_t ACL_ERROR_RT_THREAD_SUBSCRIBE = 107012;          // error subscribe thread
+static const int32_t ACL_ERROR_RT_GROUP_NOT_SET = 107013;             // group not set
+static const int32_t ACL_ERROR_RT_GROUP_NOT_CREATE = 107014;          // group not create
+static const int32_t ACL_ERROR_RT_STREAM_NO_CB_REG = 107015;          // callback not register to stream
+static const int32_t ACL_ERROR_RT_INVALID_MEMORY_TYPE = 107016;       // invalid memory type
+static const int32_t ACL_ERROR_RT_INVALID_HANDLE = 107017;            // invalid handle
+static const int32_t ACL_ERROR_RT_INVALID_MALLOC_TYPE = 107018;       // invalid malloc type
+static const int32_t ACL_ERROR_RT_WAIT_TIMEOUT = 107019;              // wait timeout
 
-static const int32_t ACL_ERROR_RT_FEATURE_NOT_SUPPORT        = 207000; // feature not support
-static const int32_t ACL_ERROR_RT_MEMORY_ALLOCATION          = 207001; // memory allocation error
-static const int32_t ACL_ERROR_RT_MEMORY_FREE                = 207002; // memory free error
-static const int32_t ACL_ERROR_RT_AICORE_OVER_FLOW           = 207003; // aicore over flow
-static const int32_t ACL_ERROR_RT_NO_DEVICE                  = 207004; // no device
-static const int32_t ACL_ERROR_RT_RESOURCE_ALLOC_FAIL        = 207005; // resource alloc fail
-static const int32_t ACL_ERROR_RT_NO_PERMISSION              = 207006; // no permission
-static const int32_t ACL_ERROR_RT_NO_EVENT_RESOURCE          = 207007; // no event resource
-static const int32_t ACL_ERROR_RT_NO_STREAM_RESOURCE         = 207008; // no stream resource
-static const int32_t ACL_ERROR_RT_NO_NOTIFY_RESOURCE         = 207009; // no notify resource
-static const int32_t ACL_ERROR_RT_NO_MODEL_RESOURCE          = 207010; // no model resource
+static const int32_t ACL_ERROR_RT_FEATURE_NOT_SUPPORT = 207000;  // feature not support
+static const int32_t ACL_ERROR_RT_MEMORY_ALLOCATION = 207001;    // memory allocation error
+static const int32_t ACL_ERROR_RT_MEMORY_FREE = 207002;          // memory free error
+static const int32_t ACL_ERROR_RT_AICORE_OVER_FLOW = 207003;     // aicore over flow
+static const int32_t ACL_ERROR_RT_NO_DEVICE = 207004;            // no device
+static const int32_t ACL_ERROR_RT_RESOURCE_ALLOC_FAIL = 207005;  // resource alloc fail
+static const int32_t ACL_ERROR_RT_NO_PERMISSION = 207006;        // no permission
+static const int32_t ACL_ERROR_RT_NO_EVENT_RESOURCE = 207007;    // no event resource
+static const int32_t ACL_ERROR_RT_NO_STREAM_RESOURCE = 207008;   // no stream resource
+static const int32_t ACL_ERROR_RT_NO_NOTIFY_RESOURCE = 207009;   // no notify resource
+static const int32_t ACL_ERROR_RT_NO_MODEL_RESOURCE = 207010;    // no model resource
+static const int32_t ACL_ERROR_RT_NO_CDQ_RESOURCE = 207011;      // no cdq resource
 
-static const int32_t ACL_ERROR_RT_INTERNAL_ERROR             = 507000; // runtime internal error
-static const int32_t ACL_ERROR_RT_TS_ERROR                   = 507001; // ts internel error
-static const int32_t ACL_ERROR_RT_STREAM_TASK_FULL           = 507002; // task full in stream
-static const int32_t ACL_ERROR_RT_STREAM_TASK_EMPTY          = 507003; // task empty in stream
-static const int32_t ACL_ERROR_RT_STREAM_NOT_COMPLETE        = 507004; // stream not complete
-static const int32_t ACL_ERROR_RT_END_OF_SEQUENCE            = 507005; // end of sequence
-static const int32_t ACL_ERROR_RT_EVENT_NOT_COMPLETE         = 507006; // event not complete
-static const int32_t ACL_ERROR_RT_CONTEXT_RELEASE_ERROR      = 507007; // context release error
-static const int32_t ACL_ERROR_RT_SOC_VERSION                = 507008; // soc version error
-static const int32_t ACL_ERROR_RT_TASK_TYPE_NOT_SUPPORT      = 507009; // task type not support
-static const int32_t ACL_ERROR_RT_LOST_HEARTBEAT             = 507010; // ts lost heartbeat
-static const int32_t ACL_ERROR_RT_MODEL_EXECUTE              = 507011; // model execute failed
-static const int32_t ACL_ERROR_RT_REPORT_TIMEOUT             = 507012; // report timeout
-static const int32_t ACL_ERROR_RT_SYS_DMA                    = 507013; // sys dma error
-static const int32_t ACL_ERROR_RT_AICORE_TIMEOUT             = 507014; // aicore timeout
-static const int32_t ACL_ERROR_RT_AICORE_EXCEPTION           = 507015; // aicore exception
-static const int32_t ACL_ERROR_RT_AICORE_TRAP_EXCEPTION      = 507016; // aicore trap exception
-static const int32_t ACL_ERROR_RT_AICPU_TIMEOUT              = 507017; // aicpu timeout
-static const int32_t ACL_ERROR_RT_AICPU_EXCEPTION            = 507018; // aicpu exception
-static const int32_t ACL_ERROR_RT_AICPU_DATADUMP_RSP_ERR     = 507019; // aicpu datadump response error
-static const int32_t ACL_ERROR_RT_AICPU_MODEL_RSP_ERR        = 507020; // aicpu model operate response error
-static const int32_t ACL_ERROR_RT_PROFILING_ERROR            = 507021; // profiling error
-static const int32_t ACL_ERROR_RT_IPC_ERROR                  = 507022; // ipc error
-static const int32_t ACL_ERROR_RT_MODEL_ABORT_NORMAL         = 507023; // model abort normal
-static const int32_t ACL_ERROR_RT_KERNEL_UNREGISTERING       = 507024; // kernel unregistering
-static const int32_t ACL_ERROR_RT_RINGBUFFER_NOT_INIT        = 507025; // ringbuffer not init
-static const int32_t ACL_ERROR_RT_RINGBUFFER_NO_DATA         = 507026; // ringbuffer no data
-static const int32_t ACL_ERROR_RT_KERNEL_LOOKUP              = 507027; // kernel lookup error
-static const int32_t ACL_ERROR_RT_KERNEL_DUPLICATE           = 507028; // kernel register duplicate
-static const int32_t ACL_ERROR_RT_DEBUG_REGISTER_FAIL        = 507029; // debug register failed
-static const int32_t ACL_ERROR_RT_DEBUG_UNREGISTER_FAIL      = 507030; // debug unregister failed
-static const int32_t ACL_ERROR_RT_LABEL_CONTEXT              = 507031; // label not in current context
-static const int32_t ACL_ERROR_RT_PROGRAM_USE_OUT            = 507032; // program register num use out
-static const int32_t ACL_ERROR_RT_DEV_SETUP_ERROR            = 507033; // device setup error
-static const int32_t ACL_ERROR_RT_VECTOR_CORE_TIMEOUT        = 507034; // vector core timeout
-static const int32_t ACL_ERROR_RT_VECTOR_CORE_EXCEPTION      = 507035; // vector core exception
-static const int32_t ACL_ERROR_RT_VECTOR_CORE_TRAP_EXCEPTION = 507036; // vector core trap exception
+static const int32_t ACL_ERROR_RT_INTERNAL_ERROR = 507000;              // runtime internal error
+static const int32_t ACL_ERROR_RT_TS_ERROR = 507001;                    // ts internel error
+static const int32_t ACL_ERROR_RT_STREAM_TASK_FULL = 507002;            // task full in stream
+static const int32_t ACL_ERROR_RT_STREAM_TASK_EMPTY = 507003;           // task empty in stream
+static const int32_t ACL_ERROR_RT_STREAM_NOT_COMPLETE = 507004;         // stream not complete
+static const int32_t ACL_ERROR_RT_END_OF_SEQUENCE = 507005;             // end of sequence
+static const int32_t ACL_ERROR_RT_EVENT_NOT_COMPLETE = 507006;          // event not complete
+static const int32_t ACL_ERROR_RT_CONTEXT_RELEASE_ERROR = 507007;       // context release error
+static const int32_t ACL_ERROR_RT_SOC_VERSION = 507008;                 // soc version error
+static const int32_t ACL_ERROR_RT_TASK_TYPE_NOT_SUPPORT = 507009;       // task type not support
+static const int32_t ACL_ERROR_RT_LOST_HEARTBEAT = 507010;              // ts lost heartbeat
+static const int32_t ACL_ERROR_RT_MODEL_EXECUTE = 507011;               // model execute failed
+static const int32_t ACL_ERROR_RT_REPORT_TIMEOUT = 507012;              // report timeout
+static const int32_t ACL_ERROR_RT_SYS_DMA = 507013;                     // sys dma error
+static const int32_t ACL_ERROR_RT_AICORE_TIMEOUT = 507014;              // aicore timeout
+static const int32_t ACL_ERROR_RT_AICORE_EXCEPTION = 507015;            // aicore exception
+static const int32_t ACL_ERROR_RT_AICORE_TRAP_EXCEPTION = 507016;       // aicore trap exception
+static const int32_t ACL_ERROR_RT_AICPU_TIMEOUT = 507017;               // aicpu timeout
+static const int32_t ACL_ERROR_RT_AICPU_EXCEPTION = 507018;             // aicpu exception
+static const int32_t ACL_ERROR_RT_AICPU_DATADUMP_RSP_ERR = 507019;      // aicpu datadump response error
+static const int32_t ACL_ERROR_RT_AICPU_MODEL_RSP_ERR = 507020;         // aicpu model operate response error
+static const int32_t ACL_ERROR_RT_PROFILING_ERROR = 507021;             // profiling error
+static const int32_t ACL_ERROR_RT_IPC_ERROR = 507022;                   // ipc error
+static const int32_t ACL_ERROR_RT_MODEL_ABORT_NORMAL = 507023;          // model abort normal
+static const int32_t ACL_ERROR_RT_KERNEL_UNREGISTERING = 507024;        // kernel unregistering
+static const int32_t ACL_ERROR_RT_RINGBUFFER_NOT_INIT = 507025;         // ringbuffer not init
+static const int32_t ACL_ERROR_RT_RINGBUFFER_NO_DATA = 507026;          // ringbuffer no data
+static const int32_t ACL_ERROR_RT_KERNEL_LOOKUP = 507027;               // kernel lookup error
+static const int32_t ACL_ERROR_RT_KERNEL_DUPLICATE = 507028;            // kernel register duplicate
+static const int32_t ACL_ERROR_RT_DEBUG_REGISTER_FAIL = 507029;         // debug register failed
+static const int32_t ACL_ERROR_RT_DEBUG_UNREGISTER_FAIL = 507030;       // debug unregister failed
+static const int32_t ACL_ERROR_RT_LABEL_CONTEXT = 507031;               // label not in current context
+static const int32_t ACL_ERROR_RT_PROGRAM_USE_OUT = 507032;             // program register num use out
+static const int32_t ACL_ERROR_RT_DEV_SETUP_ERROR = 507033;             // device setup error
+static const int32_t ACL_ERROR_RT_VECTOR_CORE_TIMEOUT = 507034;         // vector core timeout
+static const int32_t ACL_ERROR_RT_VECTOR_CORE_EXCEPTION = 507035;       // vector core exception
+static const int32_t ACL_ERROR_RT_VECTOR_CORE_TRAP_EXCEPTION = 507036;  // vector core trap exception
+static const int32_t ACL_ERROR_RT_CDQ_BATCH_ABNORMAL = 507037;          // cdq alloc batch abnormal
 
-static const int32_t ACL_ERROR_RT_DRV_INTERNAL_ERROR         = 507899; // drv internal error
-static const int32_t ACL_ERROR_RT_AICPU_INTERNAL_ERROR       = 507900; // aicpu internal error
-static const int32_t ACL_ERROR_RT_SOCKET_CLOSE               = 507901; // hdc disconnect
+static const int32_t ACL_ERROR_RT_DRV_INTERNAL_ERROR = 507899;    // drv internal error
+static const int32_t ACL_ERROR_RT_AICPU_INTERNAL_ERROR = 507900;  // aicpu internal error
+static const int32_t ACL_ERROR_RT_SOCKET_CLOSE = 507901;          // hdc disconnect
 
 #ifdef __cplusplus
 }
 #endif
 
-#endif // __INC_EXTERNEL_RT_ERROR_CODES_H__
+#endif  // __INC_EXTERNEL_RT_ERROR_CODES_H__

inc/external/acl/ops/acl_cblas.h

@@ -23,17 +23,9 @@
 extern "C" {
 #endif
 
-typedef enum aclTransType {
-    ACL_TRANS_N,
-    ACL_TRANS_T,
-    ACL_TRANS_NZ,
-    ACL_TRANS_NZ_T
-} aclTransType;
+typedef enum aclTransType { ACL_TRANS_N, ACL_TRANS_T, ACL_TRANS_NZ, ACL_TRANS_NZ_T } aclTransType;
 
-typedef enum aclComputeType {
-    ACL_COMPUTE_HIGH_PRECISION,
-    ACL_COMPUTE_LOW_PRECISION
-} aclComputeType;
+typedef enum aclComputeType { ACL_COMPUTE_HIGH_PRECISION, ACL_COMPUTE_LOW_PRECISION } aclComputeType;
 
 /**
  * @ingroup AscendCL
@@ -61,12 +53,11 @@ typedef enum aclComputeType {
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
-*/
-ACL_FUNC_VISIBILITY aclError aclblasGemvEx(aclTransType transA, int m, int n,
-    const void *alpha, const void *a, int lda, aclDataType dataTypeA,
-    const void *x, int incx, aclDataType dataTypeX,
-    const void *beta, void *y, int incy, aclDataType dataTypeY,
-    aclComputeType type, aclrtStream stream);
+ */
+ACL_FUNC_VISIBILITY aclError aclblasGemvEx(aclTransType transA, int m, int n, const void *alpha, const void *a, int lda,
+                                           aclDataType dataTypeA, const void *x, int incx, aclDataType dataTypeX,
+                                           const void *beta, void *y, int incy, aclDataType dataTypeY,
+                                           aclComputeType type, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -83,15 +74,10 @@ ACL_FUNC_VISIBILITY aclError aclblasGemvEx(aclTransType transA, int m, int n,
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
-*/
-ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForGemvEx(aclTransType transA,
-                                                          int m,
-                                                          int n,
-                                                          aclDataType dataTypeA,
-                                                          aclDataType dataTypeX,
-                                                          aclDataType dataTypeY,
-                                                          aclComputeType type,
-                                                          aclopHandle **handle);
+ */
+ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForGemvEx(aclTransType transA, int m, int n, aclDataType dataTypeA,
+                                                          aclDataType dataTypeX, aclDataType dataTypeY,
+                                                          aclComputeType type, aclopHandle **handle);
 
 /**
  * @ingroup AscendCL
@@ -115,18 +101,9 @@ ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForGemvEx(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasHgemv(aclTransType transA,
-                                          int m,
-                                          int n,
-                                          const aclFloat16 *alpha,
-                                          const aclFloat16 *a,
-                                          int lda,
-                                          const aclFloat16 *x,
-                                          int incx,
-                                          const aclFloat16 *beta,
-                                          aclFloat16 *y,
-                                          int incy,
-                                          aclComputeType type,
+ACL_FUNC_VISIBILITY aclError aclblasHgemv(aclTransType transA, int m, int n, const aclFloat16 *alpha,
+                                          const aclFloat16 *a, int lda, const aclFloat16 *x, int incx,
+                                          const aclFloat16 *beta, aclFloat16 *y, int incy, aclComputeType type,
                                           aclrtStream stream);
 
 /**
@@ -142,10 +119,7 @@ ACL_FUNC_VISIBILITY aclError aclblasHgemv(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForHgemv(aclTransType transA,
-                                                         int m,
-                                                         int n,
-                                                         aclComputeType type,
+ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForHgemv(aclTransType transA, int m, int n, aclComputeType type,
                                                          aclopHandle **handle);
 
 /**
@@ -171,19 +145,9 @@ ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForHgemv(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasS8gemv(aclTransType transA,
-                                           int m,
-                                           int n,
-                                           const int32_t *alpha,
-                                           const int8_t *a,
-                                           int lda,
-                                           const int8_t *x,
-                                           int incx,
-                                           const int32_t *beta,
-                                           int32_t *y,
-                                           int incy,
-                                           aclComputeType type,
-                                           aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclblasS8gemv(aclTransType transA, int m, int n, const int32_t *alpha, const int8_t *a,
+                                           int lda, const int8_t *x, int incx, const int32_t *beta, int32_t *y,
+                                           int incy, aclComputeType type, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -198,10 +162,7 @@ ACL_FUNC_VISIBILITY aclError aclblasS8gemv(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForS8gemv(aclTransType transA,
-                                                          int m,
-                                                          int n,
-                                                          aclComputeType type,
+ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForS8gemv(aclTransType transA, int m, int n, aclComputeType type,
                                                           aclopHandle **handle);
 
 /**
@@ -233,26 +194,11 @@ ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForS8gemv(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasGemmEx(aclTransType transA,
-                                           aclTransType transB,
-                                           aclTransType transC,
-                                           int m,
-                                           int n,
-                                           int k,
-                                           const void *alpha,
-                                           const void *matrixA,
-                                           int lda,
-                                           aclDataType dataTypeA,
-                                           const void *matrixB,
-                                           int ldb,
-                                           aclDataType dataTypeB,
-                                           const void *beta,
-                                           void *matrixC,
-                                           int ldc,
-                                           aclDataType dataTypeC,
-                                           aclComputeType type,
-                                           aclrtStream stream);
-
+ACL_FUNC_VISIBILITY aclError aclblasGemmEx(aclTransType transA, aclTransType transB, aclTransType transC, int m, int n,
+                                           int k, const void *alpha, const void *matrixA, int lda,
+                                           aclDataType dataTypeA, const void *matrixB, int ldb, aclDataType dataTypeB,
+                                           const void *beta, void *matrixC, int ldc, aclDataType dataTypeC,
+                                           aclComputeType type, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -274,18 +220,10 @@ ACL_FUNC_VISIBILITY aclError aclblasGemmEx(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForGemmEx(aclTransType transA,
-                                                          aclTransType transB,
-                                                          aclTransType transC,
-                                                          int m,
-                                                          int n,
-                                                          int k,
-                                                          aclDataType dataTypeA,
-                                                          aclDataType dataTypeB,
-                                                          aclDataType dataTypeC,
-                                                          aclComputeType type,
-                                                          aclopHandle **handle);
-
+ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForGemmEx(aclTransType transA, aclTransType transB, aclTransType transC,
+                                                          int m, int n, int k, aclDataType dataTypeA,
+                                                          aclDataType dataTypeB, aclDataType dataTypeC,
+                                                          aclComputeType type, aclopHandle **handle);
 
 /**
  * @ingroup AscendCL
@@ -313,22 +251,10 @@ ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForGemmEx(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasHgemm(aclTransType transA,
-                                          aclTransType transB,
-                                          aclTransType transC,
-                                          int m,
-                                          int n,
-                                          int k,
-                                          const aclFloat16 *alpha,
-                                          const aclFloat16 *matrixA,
-                                          int lda,
-                                          const aclFloat16 *matrixB,
-                                          int ldb,
-                                          const aclFloat16 *beta,
-                                          aclFloat16 *matrixC,
-                                          int ldc,
-                                          aclComputeType type,
-                                          aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclblasHgemm(aclTransType transA, aclTransType transB, aclTransType transC, int m, int n,
+                                          int k, const aclFloat16 *alpha, const aclFloat16 *matrixA, int lda,
+                                          const aclFloat16 *matrixB, int ldb, const aclFloat16 *beta,
+                                          aclFloat16 *matrixC, int ldc, aclComputeType type, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -346,13 +272,8 @@ ACL_FUNC_VISIBILITY aclError aclblasHgemm(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForHgemm(aclTransType transA,
-                                                         aclTransType transB,
-                                                         aclTransType transC,
-                                                         int m,
-                                                         int n,
-                                                         int k,
-                                                         aclComputeType type,
+ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForHgemm(aclTransType transA, aclTransType transB, aclTransType transC,
+                                                         int m, int n, int k, aclComputeType type,
                                                          aclopHandle **handle);
 
 /**
@@ -381,23 +302,10 @@ ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForHgemm(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasS8gemm(aclTransType transA,
-                                           aclTransType transB,
-                                           aclTransType transC,
-                                           int m,
-                                           int n,
-                                           int k,
-                                           const int32_t *alpha,
-                                           const int8_t *matrixA,
-                                           int lda,
-                                           const int8_t *matrixB,
-                                           int ldb,
-                                           const int32_t *beta,
-                                           int32_t *matrixC,
-                                           int ldc,
-                                           aclComputeType type,
-                                           aclrtStream stream);
-
+ACL_FUNC_VISIBILITY aclError aclblasS8gemm(aclTransType transA, aclTransType transB, aclTransType transC, int m, int n,
+                                           int k, const int32_t *alpha, const int8_t *matrixA, int lda,
+                                           const int8_t *matrixB, int ldb, const int32_t *beta, int32_t *matrixC,
+                                           int ldc, aclComputeType type, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -415,17 +323,12 @@ ACL_FUNC_VISIBILITY aclError aclblasS8gemm(aclTransType transA,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForS8gemm(aclTransType transA,
-                                                          aclTransType transB,
-                                                          aclTransType transC,
-                                                          int m,
-                                                          int n,
-                                                          int k,
-                                                          aclComputeType type,
+ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForS8gemm(aclTransType transA, aclTransType transB, aclTransType transC,
+                                                          int m, int n, int k, aclComputeType type,
                                                           aclopHandle **handle);
 
 #ifdef __cplusplus
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_OPS_ACL_CBLAS_H_
+#endif  // INC_EXTERNAL_ACL_OPS_ACL_CBLAS_H_

inc/external/acl/ops/acl_dvpp.h

@@ -53,123 +53,109 @@ typedef void (*aclvencCallback)(acldvppPicDesc *input, acldvppStreamDesc *output
 
 // Supported Pixel Format
 enum acldvppPixelFormat {
-    PIXEL_FORMAT_YUV_400 = 0, // 0
-    PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1, // 1
-    PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2, // 2
-    PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3, // 3
-    PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4, // 4
-    PIXEL_FORMAT_YUV_SEMIPLANAR_444 = 5, // 5
-    PIXEL_FORMAT_YVU_SEMIPLANAR_444 = 6, // 6
-    PIXEL_FORMAT_YUYV_PACKED_422 = 7, // 7
-    PIXEL_FORMAT_UYVY_PACKED_422 = 8, // 8
-    PIXEL_FORMAT_YVYU_PACKED_422 = 9, // 9
-    PIXEL_FORMAT_VYUY_PACKED_422 = 10, // 10
-    PIXEL_FORMAT_YUV_PACKED_444 = 11, // 11
-    PIXEL_FORMAT_RGB_888 = 12, // 12
-    PIXEL_FORMAT_BGR_888 = 13, // 13
-    PIXEL_FORMAT_ARGB_8888 = 14, // 14
-    PIXEL_FORMAT_ABGR_8888 = 15, // 15
-    PIXEL_FORMAT_RGBA_8888 = 16, // 16
-    PIXEL_FORMAT_BGRA_8888 = 17, // 17
-    PIXEL_FORMAT_YUV_SEMI_PLANNER_420_10BIT = 18, // 18
-    PIXEL_FORMAT_YVU_SEMI_PLANNER_420_10BIT = 19, // 19
-    PIXEL_FORMAT_YVU_PLANAR_420 = 20, // 20
-    PIXEL_FORMAT_YVU_PLANAR_422,
-    PIXEL_FORMAT_YVU_PLANAR_444,
-    PIXEL_FORMAT_RGB_444 = 23,
-    PIXEL_FORMAT_BGR_444,
-    PIXEL_FORMAT_ARGB_4444,
-    PIXEL_FORMAT_ABGR_4444,
-    PIXEL_FORMAT_RGBA_4444,
-    PIXEL_FORMAT_BGRA_4444,
-    PIXEL_FORMAT_RGB_555,
-    PIXEL_FORMAT_BGR_555,
-    PIXEL_FORMAT_RGB_565,
-    PIXEL_FORMAT_BGR_565,
-    PIXEL_FORMAT_ARGB_1555,
-    PIXEL_FORMAT_ABGR_1555,
-    PIXEL_FORMAT_RGBA_1555,
-    PIXEL_FORMAT_BGRA_1555,
-    PIXEL_FORMAT_ARGB_8565,
-    PIXEL_FORMAT_ABGR_8565,
-    PIXEL_FORMAT_RGBA_8565,
-    PIXEL_FORMAT_BGRA_8565,
-    PIXEL_FORMAT_RGB_BAYER_8BPP = 50,
-    PIXEL_FORMAT_RGB_BAYER_10BPP,
-    PIXEL_FORMAT_RGB_BAYER_12BPP,
-    PIXEL_FORMAT_RGB_BAYER_14BPP,
-    PIXEL_FORMAT_RGB_BAYER_16BPP,
-    PIXEL_FORMAT_BGR_888_PLANAR = 70,
-    PIXEL_FORMAT_HSV_888_PACKAGE,
-    PIXEL_FORMAT_HSV_888_PLANAR,
-    PIXEL_FORMAT_LAB_888_PACKAGE,
-    PIXEL_FORMAT_LAB_888_PLANAR,
-    PIXEL_FORMAT_S8C1,
-    PIXEL_FORMAT_S8C2_PACKAGE,
-    PIXEL_FORMAT_S8C2_PLANAR,
-    PIXEL_FORMAT_S16C1,
-    PIXEL_FORMAT_U8C1,
-    PIXEL_FORMAT_U16C1,
-    PIXEL_FORMAT_S32C1,
-    PIXEL_FORMAT_U32C1,
-    PIXEL_FORMAT_U64C1,
-    PIXEL_FORMAT_S64C1,
-    PIXEL_FORMAT_YUV_SEMIPLANAR_440 = 1000,
-    PIXEL_FORMAT_YVU_SEMIPLANAR_440,
-    PIXEL_FORMAT_FLOAT32,
-    PIXEL_FORMAT_BUTT,
-    PIXEL_FORMAT_UNKNOWN = 10000
+  PIXEL_FORMAT_YUV_400 = 0,                      // 0
+  PIXEL_FORMAT_YUV_SEMIPLANAR_420 = 1,           // 1
+  PIXEL_FORMAT_YVU_SEMIPLANAR_420 = 2,           // 2
+  PIXEL_FORMAT_YUV_SEMIPLANAR_422 = 3,           // 3
+  PIXEL_FORMAT_YVU_SEMIPLANAR_422 = 4,           // 4
+  PIXEL_FORMAT_YUV_SEMIPLANAR_444 = 5,           // 5
+  PIXEL_FORMAT_YVU_SEMIPLANAR_444 = 6,           // 6
+  PIXEL_FORMAT_YUYV_PACKED_422 = 7,              // 7
+  PIXEL_FORMAT_UYVY_PACKED_422 = 8,              // 8
+  PIXEL_FORMAT_YVYU_PACKED_422 = 9,              // 9
+  PIXEL_FORMAT_VYUY_PACKED_422 = 10,             // 10
+  PIXEL_FORMAT_YUV_PACKED_444 = 11,              // 11
+  PIXEL_FORMAT_RGB_888 = 12,                     // 12
+  PIXEL_FORMAT_BGR_888 = 13,                     // 13
+  PIXEL_FORMAT_ARGB_8888 = 14,                   // 14
+  PIXEL_FORMAT_ABGR_8888 = 15,                   // 15
+  PIXEL_FORMAT_RGBA_8888 = 16,                   // 16
+  PIXEL_FORMAT_BGRA_8888 = 17,                   // 17
+  PIXEL_FORMAT_YUV_SEMI_PLANNER_420_10BIT = 18,  // 18
+  PIXEL_FORMAT_YVU_SEMI_PLANNER_420_10BIT = 19,  // 19
+  PIXEL_FORMAT_YVU_PLANAR_420 = 20,              // 20
+  PIXEL_FORMAT_YVU_PLANAR_422,
+  PIXEL_FORMAT_YVU_PLANAR_444,
+  PIXEL_FORMAT_RGB_444 = 23,
+  PIXEL_FORMAT_BGR_444,
+  PIXEL_FORMAT_ARGB_4444,
+  PIXEL_FORMAT_ABGR_4444,
+  PIXEL_FORMAT_RGBA_4444,
+  PIXEL_FORMAT_BGRA_4444,
+  PIXEL_FORMAT_RGB_555,
+  PIXEL_FORMAT_BGR_555,
+  PIXEL_FORMAT_RGB_565,
+  PIXEL_FORMAT_BGR_565,
+  PIXEL_FORMAT_ARGB_1555,
+  PIXEL_FORMAT_ABGR_1555,
+  PIXEL_FORMAT_RGBA_1555,
+  PIXEL_FORMAT_BGRA_1555,
+  PIXEL_FORMAT_ARGB_8565,
+  PIXEL_FORMAT_ABGR_8565,
+  PIXEL_FORMAT_RGBA_8565,
+  PIXEL_FORMAT_BGRA_8565,
+  PIXEL_FORMAT_RGB_BAYER_8BPP = 50,
+  PIXEL_FORMAT_RGB_BAYER_10BPP,
+  PIXEL_FORMAT_RGB_BAYER_12BPP,
+  PIXEL_FORMAT_RGB_BAYER_14BPP,
+  PIXEL_FORMAT_RGB_BAYER_16BPP,
+  PIXEL_FORMAT_BGR_888_PLANAR = 70,
+  PIXEL_FORMAT_HSV_888_PACKAGE,
+  PIXEL_FORMAT_HSV_888_PLANAR,
+  PIXEL_FORMAT_LAB_888_PACKAGE,
+  PIXEL_FORMAT_LAB_888_PLANAR,
+  PIXEL_FORMAT_S8C1,
+  PIXEL_FORMAT_S8C2_PACKAGE,
+  PIXEL_FORMAT_S8C2_PLANAR,
+  PIXEL_FORMAT_S16C1,
+  PIXEL_FORMAT_U8C1,
+  PIXEL_FORMAT_U16C1,
+  PIXEL_FORMAT_S32C1,
+  PIXEL_FORMAT_U32C1,
+  PIXEL_FORMAT_U64C1,
+  PIXEL_FORMAT_S64C1,
+  PIXEL_FORMAT_YUV_SEMIPLANAR_440 = 1000,
+  PIXEL_FORMAT_YVU_SEMIPLANAR_440,
+  PIXEL_FORMAT_FLOAT32,
+  PIXEL_FORMAT_BUTT,
+  PIXEL_FORMAT_UNKNOWN = 10000
 };
 
 // Stream Format
-enum acldvppStreamFormat {
-    H265_MAIN_LEVEL = 0,
-    H264_BASELINE_LEVEL,
-    H264_MAIN_LEVEL,
-    H264_HIGH_LEVEL
-};
+enum acldvppStreamFormat { H265_MAIN_LEVEL = 0, H264_BASELINE_LEVEL, H264_MAIN_LEVEL, H264_HIGH_LEVEL };
 
 // Supported Channel Mode
-enum acldvppChannelMode {
-    DVPP_CHNMODE_VPC = 1,
-    DVPP_CHNMODE_JPEGD = 2,
-    DVPP_CHNMODE_JPEGE = 4
-};
+enum acldvppChannelMode { DVPP_CHNMODE_VPC = 1, DVPP_CHNMODE_JPEGD = 2, DVPP_CHNMODE_JPEGE = 4 };
 
 // Supported Border Type
-enum acldvppBorderType {
-    BORDER_CONSTANT = 0,
-    BORDER_REPLICATE,
-    BORDER_REFLECT,
-    BORDER_REFLECT_101
-};
+enum acldvppBorderType { BORDER_CONSTANT = 0, BORDER_REPLICATE, BORDER_REFLECT, BORDER_REFLECT_101 };
 
 // Venc parameter type
 enum aclvencChannelDescParamType {
-    ACL_VENC_THREAD_ID_UINT64 = 0,
-    ACL_VENC_CALLBACK_PTR,
-    ACL_VENC_PIXEL_FORMAT_UINT32,
-    ACL_VENC_ENCODE_TYPE_UINT32,
-    ACL_VENC_PIC_WIDTH_UINT32,
-    ACL_VENC_PIC_HEIGHT_UINT32,
-    ACL_VENC_KEY_FRAME_INTERVAL_UINT32,
-    ACL_VENC_BUF_ADDR_PTR,
-    ACL_VENC_BUF_SIZE_UINT32,
-    ACL_VENC_RC_MODE_UINT32,
-    ACL_VENC_SRC_RATE_UINT32,
-    ACL_VENC_MAX_BITRATE_UINT32,
-    ACL_VENC_MAX_IP_PROP_UINT32
+  ACL_VENC_THREAD_ID_UINT64 = 0,
+  ACL_VENC_CALLBACK_PTR,
+  ACL_VENC_PIXEL_FORMAT_UINT32,
+  ACL_VENC_ENCODE_TYPE_UINT32,
+  ACL_VENC_PIC_WIDTH_UINT32,
+  ACL_VENC_PIC_HEIGHT_UINT32,
+  ACL_VENC_KEY_FRAME_INTERVAL_UINT32,
+  ACL_VENC_BUF_ADDR_PTR,
+  ACL_VENC_BUF_SIZE_UINT32,
+  ACL_VENC_RC_MODE_UINT32,
+  ACL_VENC_SRC_RATE_UINT32,
+  ACL_VENC_MAX_BITRATE_UINT32,
+  ACL_VENC_MAX_IP_PROP_UINT32
 };
 
 // Jpeg picture format
 enum acldvppJpegFormat {
-    ACL_JPEG_CSS_444 = 0,
-    ACL_JPEG_CSS_422,
-    ACL_JPEG_CSS_420,
-    ACL_JPEG_CSS_GRAY,
-    ACL_JPEG_CSS_440,
-    ACL_JPEG_CSS_411,
-    ACL_JPEG_CSS_UNKNOWN = 1000
+  ACL_JPEG_CSS_444 = 0,
+  ACL_JPEG_CSS_422,
+  ACL_JPEG_CSS_420,
+  ACL_JPEG_CSS_GRAY,
+  ACL_JPEG_CSS_440,
+  ACL_JPEG_CSS_411,
+  ACL_JPEG_CSS_UNKNOWN = 1000
 };
 
 /**
@@ -523,9 +509,7 @@ ACL_FUNC_VISIBILITY uint32_t acldvppGetPicDescRetCode(const acldvppPicDesc *picD
  * @retval null for failed.
  * @retval other success
  */
-ACL_FUNC_VISIBILITY acldvppRoiConfig *acldvppCreateRoiConfig(uint32_t left,
-                                                             uint32_t right,
-                                                             uint32_t top,
+ACL_FUNC_VISIBILITY acldvppRoiConfig *acldvppCreateRoiConfig(uint32_t left, uint32_t right, uint32_t top,
                                                              uint32_t bottom);
 
 /**
@@ -604,10 +588,7 @@ ACL_FUNC_VISIBILITY aclError acldvppSetRoiConfigBottom(acldvppRoiConfig *config,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppSetRoiConfig(acldvppRoiConfig *config,
-                                                 uint32_t left,
-                                                 uint32_t right,
-                                                 uint32_t top,
+ACL_FUNC_VISIBILITY aclError acldvppSetRoiConfig(acldvppRoiConfig *config, uint32_t left, uint32_t right, uint32_t top,
                                                  uint32_t bottom);
 
 /**
@@ -1096,7 +1077,8 @@ ACL_FUNC_VISIBILITY aclError aclvencSetChannelDescMaxBitRate(aclvencChannelDesc
  * @retval ACL_SUCCESS for success, other for failure
  */
 ACL_FUNC_VISIBILITY aclError aclvencSetChannelDescParam(aclvencChannelDesc *channelDesc,
-    aclvencChannelDescParamType paramType, size_t length, const void *param);
+                                                        aclvencChannelDescParamType paramType, size_t length,
+                                                        const void *param);
 
 /**
  * @ingroup AscendCL
@@ -1245,7 +1227,8 @@ ACL_FUNC_VISIBILITY uint32_t aclvencGetChannelDescMaxBitRate(const aclvencChanne
  * @retval ACL_SUCCESS for success, other for failure
  */
 ACL_FUNC_VISIBILITY aclError aclvencGetChannelDescParam(const aclvencChannelDesc *channelDesc,
-    aclvencChannelDescParamType paramType, size_t length, size_t *paramRetSize, void *param);
+                                                        aclvencChannelDescParamType paramType, size_t length,
+                                                        size_t *paramRetSize, void *param);
 
 /**
  * @ingroup AscendCL
@@ -1545,10 +1528,7 @@ ACL_FUNC_VISIBILITY aclError aclvdecDestroyFrameConfig(aclvdecFrameConfig *vdecF
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppJpegGetImageInfo(const void *data,
-                                                     uint32_t size,
-                                                     uint32_t *width,
-                                                     uint32_t *height,
+ACL_FUNC_VISIBILITY aclError acldvppJpegGetImageInfo(const void *data, uint32_t size, uint32_t *width, uint32_t *height,
                                                      int32_t *components);
 
 /**
@@ -1565,11 +1545,8 @@ ACL_FUNC_VISIBILITY aclError acldvppJpegGetImageInfo(const void *data,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppJpegGetImageInfoV2(const void *data,
-                                                       uint32_t size,
-                                                       uint32_t *width,
-                                                       uint32_t *height,
-                                                       int32_t *components,
+ACL_FUNC_VISIBILITY aclError acldvppJpegGetImageInfoV2(const void *data, uint32_t size, uint32_t *width,
+                                                       uint32_t *height, int32_t *components,
                                                        acldvppJpegFormat *format);
 
 /**
@@ -1584,8 +1561,7 @@ ACL_FUNC_VISIBILITY aclError acldvppJpegGetImageInfoV2(const void *data,
  * @retval OtherValues Failure
  */
 ACL_FUNC_VISIBILITY aclError acldvppJpegPredictEncSize(const acldvppPicDesc *inputDesc,
-                                                       const acldvppJpegeConfig *config,
-                                                       uint32_t *size);
+                                                       const acldvppJpegeConfig *config, uint32_t *size);
 
 /**
  * @ingroup AscendCL
@@ -1599,10 +1575,8 @@ ACL_FUNC_VISIBILITY aclError acldvppJpegPredictEncSize(const acldvppPicDesc *inp
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppJpegPredictDecSize(const void *data,
-                                                       uint32_t dataSize,
-                                                       acldvppPixelFormat outputPixelFormat,
-                                                       uint32_t *decSize);
+ACL_FUNC_VISIBILITY aclError acldvppJpegPredictDecSize(const void *data, uint32_t dataSize,
+                                                       acldvppPixelFormat outputPixelFormat, uint32_t *decSize);
 
 /**
  * @ingroup AscendCL
@@ -1617,11 +1591,8 @@ ACL_FUNC_VISIBILITY aclError acldvppJpegPredictDecSize(const void *data,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppPngGetImageInfo(const void *data,
-                                                    uint32_t dataSize,
-                                                    uint32_t *width,
-                                                    uint32_t *height,
-                                                    int32_t *components);
+ACL_FUNC_VISIBILITY aclError acldvppPngGetImageInfo(const void *data, uint32_t dataSize, uint32_t *width,
+                                                    uint32_t *height, int32_t *components);
 
 /**
  * @ingroup AscendCL
@@ -1635,10 +1606,8 @@ ACL_FUNC_VISIBILITY aclError acldvppPngGetImageInfo(const void *data,
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppPngPredictDecSize(const void *data,
-                                                      uint32_t dataSize,
-                                                      acldvppPixelFormat outputPixelFormat,
-                                                      uint32_t *decSize);
+ACL_FUNC_VISIBILITY aclError acldvppPngPredictDecSize(const void *data, uint32_t dataSize,
+                                                      acldvppPixelFormat outputPixelFormat, uint32_t *decSize);
 
 /**
  * @ingroup AscendCL
@@ -1702,10 +1671,8 @@ ACL_FUNC_VISIBILITY aclError acldvppDestroyChannel(acldvppChannelDesc *channelDe
  * @see acldvppCreateChannel | acldvppCreatePicDesc
  * | acldvppCreateResizeConfig
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcResizeAsync(acldvppChannelDesc *channelDesc,
-                                                   acldvppPicDesc *inputDesc,
-                                                   acldvppPicDesc *outputDesc,
-                                                   acldvppResizeConfig *resizeConfig,
+ACL_FUNC_VISIBILITY aclError acldvppVpcResizeAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *inputDesc,
+                                                   acldvppPicDesc *outputDesc, acldvppResizeConfig *resizeConfig,
                                                    aclrtStream stream);
 
 /**
@@ -1741,10 +1708,8 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcResizeAsync(acldvppChannelDesc *channelDe
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcCropAsync(acldvppChannelDesc *channelDesc,
-                                                 acldvppPicDesc *inputDesc,
-                                                 acldvppPicDesc *outputDesc,
-                                                 acldvppRoiConfig *cropArea,
+ACL_FUNC_VISIBILITY aclError acldvppVpcCropAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *inputDesc,
+                                                 acldvppPicDesc *outputDesc, acldvppRoiConfig *cropArea,
                                                  aclrtStream stream);
 
 /**
@@ -1781,13 +1746,9 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcCropAsync(acldvppChannelDesc *channelDesc
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcCropResizeAsync(acldvppChannelDesc *channelDesc,
-                                                       acldvppPicDesc *inputDesc,
-                                                       acldvppPicDesc *outputDesc,
-                                                       acldvppRoiConfig *cropArea,
-                                                       acldvppResizeConfig *resizeConfig,
-                                                       aclrtStream stream);
-
+ACL_FUNC_VISIBILITY aclError acldvppVpcCropResizeAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *inputDesc,
+                                                       acldvppPicDesc *outputDesc, acldvppRoiConfig *cropArea,
+                                                       acldvppResizeConfig *resizeConfig, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -1811,12 +1772,9 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcCropResizeAsync(acldvppChannelDesc *chann
  * @see acldvppCreateChannel | acldvppCreateBatchPicDesc | acldvppCreateRoiConfig
  */
 ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropAsync(acldvppChannelDesc *channelDesc,
-                                                      acldvppBatchPicDesc *srcBatchPicDescs,
-                                                      uint32_t *roiNums,
-                                                      uint32_t size,
-                                                      acldvppBatchPicDesc *dstBatchPicDescs,
-                                                      acldvppRoiConfig *cropAreas[],
-                                                      aclrtStream stream);
+                                                      acldvppBatchPicDesc *srcBatchPicDescs, uint32_t *roiNums,
+                                                      uint32_t size, acldvppBatchPicDesc *dstBatchPicDescs,
+                                                      acldvppRoiConfig *cropAreas[], aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -1841,13 +1799,10 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropAsync(acldvppChannelDesc *channe
  * @see acldvppCreateChannel | acldvppCreateBatchPicDesc | acldvppCreateRoiConfig | acldvppCreateDvppConfig
  */
 ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropResizeAsync(acldvppChannelDesc *channelDesc,
-                                                            acldvppBatchPicDesc *srcBatchPicDescs,
-                                                            uint32_t *roiNums,
-                                                            uint32_t size,
-                                                            acldvppBatchPicDesc *dstBatchPicDescs,
+                                                            acldvppBatchPicDesc *srcBatchPicDescs, uint32_t *roiNums,
+                                                            uint32_t size, acldvppBatchPicDesc *dstBatchPicDescs,
                                                             acldvppRoiConfig *cropAreas[],
-                                                            acldvppResizeConfig *resizeConfig,
-                                                            aclrtStream stream);
+                                                            acldvppResizeConfig *resizeConfig, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -1870,12 +1825,9 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropResizeAsync(acldvppChannelDesc *
  *
  * @see acldvppCreateChannel | acldvppCreatePicDesc | acldvppCreateRoiConfig
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcCropAndPasteAsync(acldvppChannelDesc *channelDesc,
-                                                         acldvppPicDesc *inputDesc,
-                                                         acldvppPicDesc *outputDesc,
-                                                         acldvppRoiConfig *cropArea,
-                                                         acldvppRoiConfig *pasteArea,
-                                                         aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError acldvppVpcCropAndPasteAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *inputDesc,
+                                                         acldvppPicDesc *outputDesc, acldvppRoiConfig *cropArea,
+                                                         acldvppRoiConfig *pasteArea, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -1899,13 +1851,10 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcCropAndPasteAsync(acldvppChannelDesc *cha
  *
  * @see acldvppCreateChannel | acldvppCreatePicDesc | acldvppCreateRoiConfig | acldvppCreateResizeConfig
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcCropResizePasteAsync(acldvppChannelDesc *channelDesc,
-                                                            acldvppPicDesc *inputDesc,
-                                                            acldvppPicDesc *outputDesc,
-                                                            acldvppRoiConfig *cropArea,
+ACL_FUNC_VISIBILITY aclError acldvppVpcCropResizePasteAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *inputDesc,
+                                                            acldvppPicDesc *outputDesc, acldvppRoiConfig *cropArea,
                                                             acldvppRoiConfig *pasteArea,
-                                                            acldvppResizeConfig *resizeConfig,
-                                                            aclrtStream stream);
+                                                            acldvppResizeConfig *resizeConfig, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -1930,14 +1879,11 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcCropResizePasteAsync(acldvppChannelDesc *
  *
  * @see acldvppCreateChannel | acldvppCreateBatchPicDesc | acldvppCreateRoiConfig
  */
- ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropAndPasteAsync(acldvppChannelDesc *channelDesc,
-                                                               acldvppBatchPicDesc *srcBatchPicDescs,
-                                                               uint32_t *roiNums,
-                                                               uint32_t size,
-                                                               acldvppBatchPicDesc *dstBatchPicDescs,
-                                                               acldvppRoiConfig *cropAreas[],
-                                                               acldvppRoiConfig *pasteAreas[],
-                                                               aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropAndPasteAsync(acldvppChannelDesc *channelDesc,
+                                                              acldvppBatchPicDesc *srcBatchPicDescs, uint32_t *roiNums,
+                                                              uint32_t size, acldvppBatchPicDesc *dstBatchPicDescs,
+                                                              acldvppRoiConfig *cropAreas[],
+                                                              acldvppRoiConfig *pasteAreas[], aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -1963,16 +1909,10 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcCropResizePasteAsync(acldvppChannelDesc *
  *
  * @see acldvppCreateChannel | acldvppCreateBatchPicDesc | acldvppCreateRoiConfig | acldvppCreateResizeConfig
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropResizePasteAsync(acldvppChannelDesc *channelDesc,
-                                                                 acldvppBatchPicDesc *srcBatchPicDescs,
-                                                                 uint32_t *roiNums,
-                                                                 uint32_t size,
-                                                                 acldvppBatchPicDesc *dstBatchPicDescs,
-                                                                 acldvppRoiConfig *cropAreas[],
-                                                                 acldvppRoiConfig *pasteAreas[],
-                                                                 acldvppResizeConfig *resizeConfig,
-                                                                 aclrtStream stream);
-
+ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropResizePasteAsync(
+  acldvppChannelDesc *channelDesc, acldvppBatchPicDesc *srcBatchPicDescs, uint32_t *roiNums, uint32_t size,
+  acldvppBatchPicDesc *dstBatchPicDescs, acldvppRoiConfig *cropAreas[], acldvppRoiConfig *pasteAreas[],
+  acldvppResizeConfig *resizeConfig, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -2000,11 +1940,8 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropResizePasteAsync(acldvppChannelD
  *
  * @see acldvppCreateChannel | acldvppCreatePicDesc
  */
-ACL_FUNC_VISIBILITY aclError acldvppJpegDecodeAsync(acldvppChannelDesc *channelDesc,
-                                                    const void *data,
-                                                    uint32_t size,
-                                                    acldvppPicDesc *outputDesc,
-                                                    aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError acldvppJpegDecodeAsync(acldvppChannelDesc *channelDesc, const void *data, uint32_t size,
+                                                    acldvppPicDesc *outputDesc, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -2022,11 +1959,8 @@ ACL_FUNC_VISIBILITY aclError acldvppJpegDecodeAsync(acldvppChannelDesc *channelD
  *
  * @see acldvppCreateChannel | acldvppCreateJpegeConfig
  */
-ACL_FUNC_VISIBILITY aclError acldvppJpegEncodeAsync(acldvppChannelDesc *channelDesc,
-                                                    acldvppPicDesc *inputDesc,
-                                                    const void *data,
-                                                    uint32_t *size,
-                                                    acldvppJpegeConfig *config,
+ACL_FUNC_VISIBILITY aclError acldvppJpegEncodeAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *inputDesc,
+                                                    const void *data, uint32_t *size, acldvppJpegeConfig *config,
                                                     aclrtStream stream);
 
 /**
@@ -2044,11 +1978,8 @@ ACL_FUNC_VISIBILITY aclError acldvppJpegEncodeAsync(acldvppChannelDesc *channelD
  *
  * @see acldvppCreateChannel | acldvppCreatePicDesc
  */
-ACL_FUNC_VISIBILITY aclError acldvppPngDecodeAsync(acldvppChannelDesc *channelDesc,
-                                                   const void *data,
-                                                   uint32_t size,
-                                                   acldvppPicDesc *outputDesc,
-                                                   aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError acldvppPngDecodeAsync(acldvppChannelDesc *channelDesc, const void *data, uint32_t size,
+                                                   acldvppPicDesc *outputDesc, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -2103,11 +2034,8 @@ ACL_FUNC_VISIBILITY aclError aclvdecDestroyChannel(aclvdecChannelDesc *channelDe
  *
  * @see aclvdecCreateChannel | acldvppCreateStreamDesc | acldvppCreatePicDesc
  */
-ACL_FUNC_VISIBILITY aclError aclvdecSendFrame(aclvdecChannelDesc *channelDesc,
-                                              acldvppStreamDesc *input,
-                                              acldvppPicDesc *output,
-                                              aclvdecFrameConfig *config,
-                                              void *userData);
+ACL_FUNC_VISIBILITY aclError aclvdecSendFrame(aclvdecChannelDesc *channelDesc, acldvppStreamDesc *input,
+                                              acldvppPicDesc *output, aclvdecFrameConfig *config, void *userData);
 
 /**
  * @ingroup AscendCL
@@ -2126,10 +2054,8 @@ ACL_FUNC_VISIBILITY aclError aclvdecSendFrame(aclvdecChannelDesc *channelDesc,
  *
  * @see aclvdecCreateChannel | acldvppCreateStreamDesc | acldvppCreatePicDesc | aclvdecSendFrame
  */
-ACL_FUNC_VISIBILITY aclError aclvdecSendSkippedFrame(aclvdecChannelDesc *channelDesc,
-                                                     acldvppStreamDesc *input,
-                                                     aclvdecFrameConfig *config,
-                                                     void *userData);
+ACL_FUNC_VISIBILITY aclError aclvdecSendSkippedFrame(aclvdecChannelDesc *channelDesc, acldvppStreamDesc *input,
+                                                     aclvdecFrameConfig *config, void *userData);
 
 /**
  * @ingroup AscendCL
@@ -2150,10 +2076,8 @@ ACL_FUNC_VISIBILITY aclError aclvdecSendSkippedFrame(aclvdecChannelDesc *channel
  *
  * @see acldvppCreateChannel | acldvppCreatePicDesc
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcConvertColorAsync(acldvppChannelDesc *channelDesc,
-                                                         acldvppPicDesc *inputDesc,
-                                                         acldvppPicDesc *outputDesc,
-                                                         aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError acldvppVpcConvertColorAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *inputDesc,
+                                                         acldvppPicDesc *outputDesc, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -2175,11 +2099,8 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcConvertColorAsync(acldvppChannelDesc *cha
  *
  * @see acldvppCreateChannel | acldvppCreatePicDesc
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcPyrDownAsync(acldvppChannelDesc *channelDesc,
-                                                    acldvppPicDesc *inputDesc,
-                                                    acldvppPicDesc *outputDesc,
-                                                    void *reserve,
-                                                    aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError acldvppVpcPyrDownAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *inputDesc,
+                                                    acldvppPicDesc *outputDesc, void *reserve, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -2191,8 +2112,7 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcPyrDownAsync(acldvppChannelDesc *channelD
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppSetChannelDescMode(acldvppChannelDesc *channelDesc,
-                                                       uint32_t mode);
+ACL_FUNC_VISIBILITY aclError acldvppSetChannelDescMode(acldvppChannelDesc *channelDesc, uint32_t mode);
 
 /**
  * @ingroup AscendCL
@@ -2227,8 +2147,7 @@ ACL_FUNC_VISIBILITY uint32_t acldvppGetResizeConfigInterpolation(const acldvppRe
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError aclvdecSetChannelDescOutMode(aclvdecChannelDesc *channelDesc,
-                                                          uint32_t outMode);
+ACL_FUNC_VISIBILITY aclError aclvdecSetChannelDescOutMode(aclvdecChannelDesc *channelDesc, uint32_t outMode);
 
 /**
  * @ingroup AscendCL
@@ -2325,9 +2244,7 @@ ACL_FUNC_VISIBILITY uint32_t acldvppGetLutMapDims(const acldvppLutMap *lutMap);
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppGetLutMapData(const acldvppLutMap *lutMap,
-                                                  uint32_t dim,
-                                                  uint8_t **data,
+ACL_FUNC_VISIBILITY aclError acldvppGetLutMapData(const acldvppLutMap *lutMap, uint32_t dim, uint8_t **data,
                                                   uint32_t *len);
 /**
  * @ingroup AscendCL
@@ -2345,10 +2262,8 @@ ACL_FUNC_VISIBILITY aclError acldvppGetLutMapData(const acldvppLutMap *lutMap,
  * @see acldvppCreateChannel|acldvppCreatePicDesc|acldvppCreateLutMap
  */
 ACL_FUNC_VISIBILITY aclError acldvppVpcEqualizeHistAsync(const acldvppChannelDesc *channelDesc,
-                                                         const acldvppPicDesc *inputDesc,
-                                                         acldvppPicDesc *outputDesc,
-                                                         const acldvppLutMap *lutMap,
-                                                         aclrtStream stream);
+                                                         const acldvppPicDesc *inputDesc, acldvppPicDesc *outputDesc,
+                                                         const acldvppLutMap *lutMap, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -2369,8 +2284,7 @@ ACL_FUNC_VISIBILITY acldvppBorderConfig *acldvppCreateBorderConfig();
  *
  * @retval ACL_SUCCESS for success, other for failure
  */
-ACL_FUNC_VISIBILITY aclError acldvppSetBorderConfigValue(acldvppBorderConfig *borderConfig,
-                                                         uint32_t index,
+ACL_FUNC_VISIBILITY aclError acldvppSetBorderConfigValue(acldvppBorderConfig *borderConfig, uint32_t index,
                                                          double value);
 
 /**
@@ -2515,10 +2429,8 @@ ACL_FUNC_VISIBILITY aclError acldvppDestroyBorderConfig(acldvppBorderConfig *bor
  * @see acldvppCreateChannel|acldvppCreatePicDesc|acldvppCreateBorderConfig
  */
 ACL_FUNC_VISIBILITY aclError acldvppVpcMakeBorderAsync(const acldvppChannelDesc *channelDesc,
-                                                       const acldvppPicDesc *inputDesc,
-                                                       acldvppPicDesc *outputDesc,
-                                                       const acldvppBorderConfig *borderConfig,
-                                                       aclrtStream stream);
+                                                       const acldvppPicDesc *inputDesc, acldvppPicDesc *outputDesc,
+                                                       const acldvppBorderConfig *borderConfig, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -2535,11 +2447,8 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcMakeBorderAsync(const acldvppChannelDesc
  *
  * @see acldvppCreateChannel | acldvppCreatePicDesc | acldvppCreateHist
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcCalcHistAsync(acldvppChannelDesc *channelDesc,
-                                                     acldvppPicDesc *srcPicDesc,
-                                                     acldvppHist *hist,
-                                                     void *reserve,
-                                                     aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError acldvppVpcCalcHistAsync(acldvppChannelDesc *channelDesc, acldvppPicDesc *srcPicDesc,
+                                                     acldvppHist *hist, void *reserve, aclrtStream stream);
 
 /**
  * @ingroup AscendCL
@@ -2548,7 +2457,7 @@ ACL_FUNC_VISIBILITY aclError acldvppVpcCalcHistAsync(acldvppChannelDesc *channel
  * @retval null for failed.
  * @retval OtherValues success.
  */
-ACL_FUNC_VISIBILITY acldvppHist* acldvppCreateHist();
+ACL_FUNC_VISIBILITY acldvppHist *acldvppCreateHist();
 
 /**
  * @ingroup AscendCL
@@ -2605,7 +2514,7 @@ ACL_FUNC_VISIBILITY aclError acldvppGetHistData(acldvppHist *hist, uint32_t dim,
  *
  * @see acldvppCreateHist | acldvppVpcCalcHistAsync
  */
-ACL_FUNC_VISIBILITY uint32_t acldvppGetHistRetCode(acldvppHist* hist);
+ACL_FUNC_VISIBILITY uint32_t acldvppGetHistRetCode(acldvppHist *hist);
 
 /**
  * @ingroup AscendCL
@@ -2624,7 +2533,6 @@ ACL_FUNC_VISIBILITY uint32_t acldvppGetHistRetCode(acldvppHist* hist);
  */
 ACL_FUNC_VISIBILITY aclError acldvppClearHist(acldvppHist *hist);
 
-
 /**
  * @ingroup AscendCL
  * @brief dvpp vpc batch crop, resize config and make border.
@@ -2648,18 +2556,13 @@ ACL_FUNC_VISIBILITY aclError acldvppClearHist(acldvppHist *hist);
  *
  * @see acldvppCreateChannel | acldvppCreateBatchPicDesc | acldvppCreateRoiConfig | acldvppCreateResizeConfig
  */
-ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropResizeMakeBorderAsync(acldvppChannelDesc *channelDesc,
-                                                                      acldvppBatchPicDesc *srcBatchPicDescs,
-                                                                      uint32_t *roiNums,
-                                                                      uint32_t size,
-                                                                      acldvppBatchPicDesc *dstBatchPicDescs,
-                                                                      acldvppRoiConfig *cropAreas[],
-                                                                      acldvppBorderConfig *borderCfgs[],
-                                                                      acldvppResizeConfig *resizeConfig,
-                                                                      aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError acldvppVpcBatchCropResizeMakeBorderAsync(
+  acldvppChannelDesc *channelDesc, acldvppBatchPicDesc *srcBatchPicDescs, uint32_t *roiNums, uint32_t size,
+  acldvppBatchPicDesc *dstBatchPicDescs, acldvppRoiConfig *cropAreas[], acldvppBorderConfig *borderCfgs[],
+  acldvppResizeConfig *resizeConfig, aclrtStream stream);
 
 #ifdef __cplusplus
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_OPS_ACL_DVPP_H_
+#endif  // INC_EXTERNAL_ACL_OPS_ACL_DVPP_H_

inc/external/acl/ops/acl_fv.h

@@ -32,8 +32,8 @@ typedef struct aclfvSearchResult aclfvSearchResult;
 
 // search operation type
 enum aclfvSearchType {
-    SEARCH_1_N, // 1:N operation type
-    SEARCH_N_M  // N:M operation type
+  SEARCH_1_N,  // 1:N operation type
+  SEARCH_N_M   // N:M operation type
 };
 
 /**
@@ -104,7 +104,8 @@ ACL_FUNC_VISIBILITY aclError aclfvSetNMTopNum(aclfvInitPara *initPara, uint32_t
  * @retval OtherValues success.
  */
 ACL_FUNC_VISIBILITY aclfvFeatureInfo *aclfvCreateFeatureInfo(uint32_t id0, uint32_t id1, uint32_t offset,
-    uint32_t featureLen, uint32_t featureCount, uint8_t *featureData, uint32_t featureDataLen);
+                                                             uint32_t featureLen, uint32_t featureCount,
+                                                             uint8_t *featureData, uint32_t featureDataLen);
 
 /**
  * @ingroup AscendCL
@@ -233,8 +234,9 @@ ACL_FUNC_VISIBILITY aclError aclfvDestroySearchInput(aclfvSearchInput *searchInp
  * @retval null for failed. OtherValues success
  */
 ACL_FUNC_VISIBILITY aclfvSearchResult *aclfvCreateSearchResult(uint32_t queryCnt, uint32_t *resultNum,
-    uint32_t resultNumDataLen, uint32_t *id0, uint32_t *id1, uint32_t *resultOffset, float *resultDistance,
-    uint32_t dataLen);
+                                                               uint32_t resultNumDataLen, uint32_t *id0, uint32_t *id1,
+                                                               uint32_t *resultOffset, float *resultDistance,
+                                                               uint32_t dataLen);
 
 /**
  * @ingroup AscendCL
@@ -285,12 +287,11 @@ ACL_FUNC_VISIBILITY aclError aclfvRelease();
  *
  * @param type [IN]          repo add type
  * @param featureInfo [IN]   add feature information
- * @param stream [IN]        stream of task execute
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure.
  */
-ACL_FUNC_VISIBILITY aclError aclfvRepoAdd(aclfvSearchType type, aclfvFeatureInfo *featureInfo, aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclfvRepoAdd(aclfvSearchType type, aclfvFeatureInfo *featureInfo);
 
 /**
  * @ingroup AscendCL
@@ -298,36 +299,33 @@ ACL_FUNC_VISIBILITY aclError aclfvRepoAdd(aclfvSearchType type, aclfvFeatureInfo
  *
  * @param type [IN]       repo delete type
  * @param repoRange [IN]  repo range information
- * @param stream [IN]     stream of task execute
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure.
  */
-ACL_FUNC_VISIBILITY aclError aclfvRepoDel(aclfvSearchType type, aclfvRepoRange *repoRange, aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclfvRepoDel(aclfvSearchType type, aclfvRepoRange *repoRange);
 
 /**
  * @ingroup AscendCL
  * @brief fv accurate del.
  *
  * @param featureInfo [IN]   accurate delete feature information
- * @param stream [IN]        stream of task execute
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure.
  */
-ACL_FUNC_VISIBILITY aclError aclfvDel(aclfvFeatureInfo *featureInfo, aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclfvDel(aclfvFeatureInfo *featureInfo);
 
 /**
  * @ingroup AscendCL
  * @brief fv accurate modify.
  *
  * @param featureInfo [IN]  accurate modify feature information
- * @param stream [IN]  stream of task execute
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure.
  */
-ACL_FUNC_VISIBILITY aclError aclfvModify(aclfvFeatureInfo *featureInfo, aclrtStream stream);
+ACL_FUNC_VISIBILITY aclError aclfvModify(aclfvFeatureInfo *featureInfo);
 
 /**
  * @ingroup AscendCL
@@ -336,16 +334,15 @@ ACL_FUNC_VISIBILITY aclError aclfvModify(aclfvFeatureInfo *featureInfo, aclrtStr
  * @param type [IN]  search type
  * @param searchInput [IN]    search input
  * @param searchRst [OUT]     search result
- * @param stream [IN]  stream of task execute
  *
  * @retval ACL_SUCCESS The function is successfully executed.
  * @retval OtherValues Failure.
  */
 ACL_FUNC_VISIBILITY aclError aclfvSearch(aclfvSearchType type, aclfvSearchInput *searchInput,
-                                         aclfvSearchResult *searchRst, aclrtStream stream);
+                                         aclfvSearchResult *searchRst);
 
 #ifdef __cplusplus
 }
 #endif
 
-#endif // INC_EXTERNAL_ACL_OPS_ACL_RETR_H_
+#endif  // INC_EXTERNAL_ACL_OPS_ACL_RETR_H_

inc/external/hccl/hccl.h

@@ -27,7 +27,7 @@
 
 #ifdef __cplusplus
 extern "C" {
-#endif // __cplusplus
+#endif  // __cplusplus
 
 /**
  * @brief Initialize HCCL.
@@ -66,14 +66,15 @@ extern HcclResult HcclCommInitRootInfo(uint32_t nRanks, const HcclRootInfo *root
  * @param sendBuf A pointer identifying the input data address of the operator.
  * @param recvBuf A pointer identifying the output data address of the operator.
  * @param count An integer(u64) identifying the number of the output data.
- * @param dataType The data type of the operator, must be one of the following types: int8, int16, int32, float16, float32.
+ * @param dataType The data type of the operator, must be one of the following types: int8, int16, int32, float16,
+ * float32.
  * @param op The reduction type of the operator, must be one of the following types: sum, min, max, prod.
  * @param comm A pointer identifying the communication resource based on.
  * @param stream A pointer identifying the stream information.
- * @return HcclResult 
+ * @return HcclResult
  */
-extern HcclResult HcclAllReduce(void *sendBuf, void *recvBuf, uint64_t count, HcclDataType dataType, 
-HcclReduceOp op, HcclComm comm, aclrtStream stream);
+extern HcclResult HcclAllReduce(void *sendBuf, void *recvBuf, uint64_t count, HcclDataType dataType, HcclReduceOp op,
+                                HcclComm comm, aclrtStream stream);
 
 /**
  * @brief Broadcast operator.
@@ -84,10 +85,10 @@ HcclReduceOp op, HcclComm comm, aclrtStream stream);
  * @param root An integer(u32) identifying the the root rank in the operator.
  * @param comm A pointer identifying the communication resource based on
  * @param stream A pointer identifying the stream information.
- * @return HcclResult 
+ * @return HcclResult
  */
-extern HcclResult HcclBroadcast(void *buf, uint64_t count, HcclDataType dataType, uint32_t root, HcclComm comm, 
-aclrtStream stream);
+extern HcclResult HcclBroadcast(void *buf, uint64_t count, HcclDataType dataType, uint32_t root, HcclComm comm,
+                                aclrtStream stream);
 
 /**
  * @brief ReduceScatter operator.
@@ -99,10 +100,10 @@ aclrtStream stream);
  * @param op The reduction type of the operator, must be one of the following types: sum, min, max, prod.
  * @param comm A pointer identifying the communication resource based on.
  * @param stream A pointer identifying the stream information.
- * @return HcclResult 
+ * @return HcclResult
  */
-extern HcclResult HcclReduceScatter(void *sendBuf, void *recvBuf, uint64_t recvCount, HcclDataType dataType, 
-HcclReduceOp op, HcclComm comm, aclrtStream stream);
+extern HcclResult HcclReduceScatter(void *sendBuf, void *recvBuf, uint64_t recvCount, HcclDataType dataType,
+                                    HcclReduceOp op, HcclComm comm, aclrtStream stream);
 
 /**
  * @brief AllGather operator.
@@ -113,16 +114,16 @@ HcclReduceOp op, HcclComm comm, aclrtStream stream);
  * @param dataType The data type of the operator, must be one of the following types: int8, int32, float16, float32.
  * @param comm A pointer identifying the communication resource based on.
  * @param stream A pointer identifying the stream information.
- * @return HcclResult 
+ * @return HcclResult
  */
-extern HcclResult HcclAllGather(void *sendBuf, void *recvBuf, uint64_t sendCount, HcclDataType dataType, 
-HcclComm comm, aclrtStream stream);
+extern HcclResult HcclAllGather(void *sendBuf, void *recvBuf, uint64_t sendCount, HcclDataType dataType, HcclComm comm,
+                                aclrtStream stream);
 /**
  * @brief Get the rank size of this comm.
  *
  * @param comm A pointer identifying the communication resource based on.
  * @param rankSize  A pointer identifying the rank size.
- * @return HcclResult 
+ * @return HcclResult
  */
 extern HcclResult HcclGetRankSize(HcclComm comm, uint32_t *rankSize);
 
@@ -131,7 +132,7 @@ extern HcclResult HcclGetRankSize(HcclComm comm, uint32_t *rankSize);
  *
  * @param comm A pointer identifying the communication resource based on.
  * @param rankSize  A pointer identifying the rank id.
- * @return HcclResult 
+ * @return HcclResult
  */
 extern HcclResult HcclGetRankId(HcclComm comm, uint32_t *rank);
 /**
@@ -139,7 +140,7 @@ extern HcclResult HcclGetRankId(HcclComm comm, uint32_t *rank);
  *
  * @param comm A pointer identifying the communication resource based on.
  * @param stream A pointer identifying the stream information.
- * @return HcclResult 
+ * @return HcclResult
  */
 extern HcclResult HcclBarrier(HcclComm comm, aclrtStream stream);
 
@@ -154,5 +155,5 @@ extern HcclResult HcclCommDestroy(HcclComm comm);
 
 #ifdef __cplusplus
 }
-#endif // __cplusplus
-#endif // HCCL_H_
+#endif  // __cplusplus
+#endif  // HCCL_H_

inc/external/hccl/hccl_types.h

@@ -16,10 +16,10 @@
 
 /**
  * @file hccl_types.h
- * @brief HCCL data type definition 
- * 
+ * @brief HCCL data type definition
+ *
  */
- 
+
 #ifndef HCCL_TYPES_H_
 #define HCCL_TYPES_H_
 
@@ -27,33 +27,33 @@
 
 #ifdef __cplusplus
 extern "C" {
-#endif // __cplusplus
+#endif  // __cplusplus
 
 /**
  * @brief HCCL functions return value definition
  */
 typedef enum {
-    HCCL_SUCCESS = 0,               /**< success */
-    HCCL_E_PARA = 1,                /**< parameter error */
-    HCCL_E_PTR = 2,                 /**< empty pointer */
-    HCCL_E_MEMORY = 3,              /**< memory error */
-    HCCL_E_INTERNAL = 4,            /**< internal error */
-    HCCL_E_NOT_SUPPORT = 5,         /**< not support feature */
-    HCCL_E_NOT_FOUND = 6,           /**< not found specific resource */
-    HCCL_E_UNAVAIL = 7,             /**< resource unavailable */
-    HCCL_E_SYSCALL = 8,             /**< call system interface error */
-    HCCL_E_TIMEOUT = 9,             /**< timeout */
-    HCCL_E_OPEN_FILE_FAILURE = 10,  /**< open file fail */
-    HCCL_E_TCP_CONNECT = 11,        /**< tcp connect fail */
-    HCCL_E_ROCE_CONNECT = 12,       /**< roce connect fail */
-    HCCL_E_TCP_TRANSFER = 13,       /**< tcp transfer fail */
-    HCCL_E_ROCE_TRANSFER = 14,      /**< roce transfer fail */
-    HCCL_E_RUNTIME = 15,            /**< call runtime api fail */
-    HCCL_E_DRV = 16,                /**< call driver api fail */
-    HCCL_E_PROFILING = 17,          /**< call profiling api fail */
-    HCCL_E_CCE = 18,                /**< call cce api fail */
-    HCCL_E_NETWORK = 19,            /**< call network api fail */
-    HCCL_E_RESERVED                 /**< reserved */
+  HCCL_SUCCESS = 0,              /**< success */
+  HCCL_E_PARA = 1,               /**< parameter error */
+  HCCL_E_PTR = 2,                /**< empty pointer */
+  HCCL_E_MEMORY = 3,             /**< memory error */
+  HCCL_E_INTERNAL = 4,           /**< internal error */
+  HCCL_E_NOT_SUPPORT = 5,        /**< not support feature */
+  HCCL_E_NOT_FOUND = 6,          /**< not found specific resource */
+  HCCL_E_UNAVAIL = 7,            /**< resource unavailable */
+  HCCL_E_SYSCALL = 8,            /**< call system interface error */
+  HCCL_E_TIMEOUT = 9,            /**< timeout */
+  HCCL_E_OPEN_FILE_FAILURE = 10, /**< open file fail */
+  HCCL_E_TCP_CONNECT = 11,       /**< tcp connect fail */
+  HCCL_E_ROCE_CONNECT = 12,      /**< roce connect fail */
+  HCCL_E_TCP_TRANSFER = 13,      /**< tcp transfer fail */
+  HCCL_E_ROCE_TRANSFER = 14,     /**< roce transfer fail */
+  HCCL_E_RUNTIME = 15,           /**< call runtime api fail */
+  HCCL_E_DRV = 16,               /**< call driver api fail */
+  HCCL_E_PROFILING = 17,         /**< call profiling api fail */
+  HCCL_E_CCE = 18,               /**< call cce api fail */
+  HCCL_E_NETWORK = 19,           /**< call network api fail */
+  HCCL_E_RESERVED                /**< reserved */
 } HcclResult;
 
 /**
@@ -65,37 +65,37 @@ typedef void *HcclComm;
  * @brief HCCL Reduction opperation
  */
 typedef enum {
-    HCCL_REDUCE_SUM = 0,    /**< sum */
-    HCCL_REDUCE_PROD = 1,   /**< prod */
-    HCCL_REDUCE_MAX = 2,    /**< max */
-    HCCL_REDUCE_MIN = 3,    /**< min */
-    HCCL_REDUCE_RESERVED    /**< reserved */
+  HCCL_REDUCE_SUM = 0,  /**< sum */
+  HCCL_REDUCE_PROD = 1, /**< prod */
+  HCCL_REDUCE_MAX = 2,  /**< max */
+  HCCL_REDUCE_MIN = 3,  /**< min */
+  HCCL_REDUCE_RESERVED  /**< reserved */
 } HcclReduceOp;
 
 /**
  * @brief HCCL data type
  */
 typedef enum {
-    HCCL_DATA_TYPE_INT8 = 0,    /**< int8 */
-    HCCL_DATA_TYPE_INT16 = 1,   /**< int16 */
-    HCCL_DATA_TYPE_INT32 = 2,   /**< int32 */
-    HCCL_DATA_TYPE_FP16 = 3,    /**< fp16 */
-    HCCL_DATA_TYPE_FP32 = 4,    /**< fp32 */
-    HCCL_DATA_TYPE_INT64 = 5,    /**< int64 */
-    HCCL_DATA_TYPE_UINT64 = 6,    /**< uint64 */
-    HCCL_DATA_TYPE_RESERVED     /**< reserved */
+  HCCL_DATA_TYPE_INT8 = 0,   /**< int8 */
+  HCCL_DATA_TYPE_INT16 = 1,  /**< int16 */
+  HCCL_DATA_TYPE_INT32 = 2,  /**< int32 */
+  HCCL_DATA_TYPE_FP16 = 3,   /**< fp16 */
+  HCCL_DATA_TYPE_FP32 = 4,   /**< fp32 */
+  HCCL_DATA_TYPE_INT64 = 5,  /**< int64 */
+  HCCL_DATA_TYPE_UINT64 = 6, /**< uint64 */
+  HCCL_DATA_TYPE_RESERVED    /**< reserved */
 } HcclDataType;
 
-const uint32_t HCCL_ROOT_INFO_BYTES =  4108; // 4108: root info length
+const uint32_t HCCL_ROOT_INFO_BYTES = 4108;  // 4108: root info length
 
 /**
  * @brief HCCL root info
  */
 typedef struct HcclRootInfoDef {
-    char internal[HCCL_ROOT_INFO_BYTES];
+  char internal[HCCL_ROOT_INFO_BYTES];
 } HcclRootInfo;
 
 #ifdef __cplusplus
 }
-#endif // __cplusplus
-#endif // HCCL_TYPES_H_
+#endif  // __cplusplus
+#endif  // HCCL_TYPES_H_

inc/external/runtime/rt_error_codes.h

@@ -23,84 +23,87 @@
 extern "C" {
 #endif
 
-static const int32_t ACL_RT_SUCCESS                          = 0; // success
+static const int32_t ACL_RT_SUCCESS = 0;  // success
 
-static const int32_t ACL_ERROR_RT_PARAM_INVALID              = 107000; // param invalid
-static const int32_t ACL_ERROR_RT_INVALID_DEVICEID           = 107001; // invalid device id
-static const int32_t ACL_ERROR_RT_CONTEXT_NULL               = 107002; // current context null
-static const int32_t ACL_ERROR_RT_STREAM_CONTEXT             = 107003; // stream not in current context
-static const int32_t ACL_ERROR_RT_MODEL_CONTEXT              = 107004; // model not in current context
-static const int32_t ACL_ERROR_RT_STREAM_MODEL               = 107005; // stream not in model
-static const int32_t ACL_ERROR_RT_EVENT_TIMESTAMP_INVALID    = 107006; // event timestamp invalid
-static const int32_t ACL_ERROR_RT_EVENT_TIMESTAMP_REVERSAL   = 107007; // event timestamp reversal
-static const int32_t ACL_ERROR_RT_ADDR_UNALIGNED             = 107008; // memory address unaligned
-static const int32_t ACL_ERROR_RT_FILE_OPEN                  = 107009; // open file failed
-static const int32_t ACL_ERROR_RT_FILE_WRITE                 = 107010; // write file failed
-static const int32_t ACL_ERROR_RT_STREAM_SUBSCRIBE           = 107011; // error subscribe stream
-static const int32_t ACL_ERROR_RT_THREAD_SUBSCRIBE           = 107012; // error subscribe thread
-static const int32_t ACL_ERROR_RT_GROUP_NOT_SET              = 107013; // group not set
-static const int32_t ACL_ERROR_RT_GROUP_NOT_CREATE           = 107014; // group not create
-static const int32_t ACL_ERROR_RT_STREAM_NO_CB_REG           = 107015; // callback not register to stream
-static const int32_t ACL_ERROR_RT_INVALID_MEMORY_TYPE        = 107016; // invalid memory type
-static const int32_t ACL_ERROR_RT_INVALID_HANDLE             = 107017; // invalid handle
-static const int32_t ACL_ERROR_RT_INVALID_MALLOC_TYPE        = 107018; // invalid malloc type
+static const int32_t ACL_ERROR_RT_PARAM_INVALID = 107000;             // param invalid
+static const int32_t ACL_ERROR_RT_INVALID_DEVICEID = 107001;          // invalid device id
+static const int32_t ACL_ERROR_RT_CONTEXT_NULL = 107002;              // current context null
+static const int32_t ACL_ERROR_RT_STREAM_CONTEXT = 107003;            // stream not in current context
+static const int32_t ACL_ERROR_RT_MODEL_CONTEXT = 107004;             // model not in current context
+static const int32_t ACL_ERROR_RT_STREAM_MODEL = 107005;              // stream not in model
+static const int32_t ACL_ERROR_RT_EVENT_TIMESTAMP_INVALID = 107006;   // event timestamp invalid
+static const int32_t ACL_ERROR_RT_EVENT_TIMESTAMP_REVERSAL = 107007;  // event timestamp reversal
+static const int32_t ACL_ERROR_RT_ADDR_UNALIGNED = 107008;            // memory address unaligned
+static const int32_t ACL_ERROR_RT_FILE_OPEN = 107009;                 // open file failed
+static const int32_t ACL_ERROR_RT_FILE_WRITE = 107010;                // write file failed
+static const int32_t ACL_ERROR_RT_STREAM_SUBSCRIBE = 107011;          // error subscribe stream
+static const int32_t ACL_ERROR_RT_THREAD_SUBSCRIBE = 107012;          // error subscribe thread
+static const int32_t ACL_ERROR_RT_GROUP_NOT_SET = 107013;             // group not set
+static const int32_t ACL_ERROR_RT_GROUP_NOT_CREATE = 107014;          // group not create
+static const int32_t ACL_ERROR_RT_STREAM_NO_CB_REG = 107015;          // callback not register to stream
+static const int32_t ACL_ERROR_RT_INVALID_MEMORY_TYPE = 107016;       // invalid memory type
+static const int32_t ACL_ERROR_RT_INVALID_HANDLE = 107017;            // invalid handle
+static const int32_t ACL_ERROR_RT_INVALID_MALLOC_TYPE = 107018;       // invalid malloc type
+static const int32_t ACL_ERROR_RT_WAIT_TIMEOUT = 107019;              // wait timeout
 
-static const int32_t ACL_ERROR_RT_FEATURE_NOT_SUPPORT        = 207000; // feature not support
-static const int32_t ACL_ERROR_RT_MEMORY_ALLOCATION          = 207001; // memory allocation error
-static const int32_t ACL_ERROR_RT_MEMORY_FREE                = 207002; // memory free error
-static const int32_t ACL_ERROR_RT_AICORE_OVER_FLOW           = 207003; // aicore over flow
-static const int32_t ACL_ERROR_RT_NO_DEVICE                  = 207004; // no device
-static const int32_t ACL_ERROR_RT_RESOURCE_ALLOC_FAIL        = 207005; // resource alloc fail
-static const int32_t ACL_ERROR_RT_NO_PERMISSION              = 207006; // no permission
-static const int32_t ACL_ERROR_RT_NO_EVENT_RESOURCE          = 207007; // no event resource
-static const int32_t ACL_ERROR_RT_NO_STREAM_RESOURCE         = 207008; // no stream resource
-static const int32_t ACL_ERROR_RT_NO_NOTIFY_RESOURCE         = 207009; // no notify resource
-static const int32_t ACL_ERROR_RT_NO_MODEL_RESOURCE          = 207010; // no model resource
+static const int32_t ACL_ERROR_RT_FEATURE_NOT_SUPPORT = 207000;  // feature not support
+static const int32_t ACL_ERROR_RT_MEMORY_ALLOCATION = 207001;    // memory allocation error
+static const int32_t ACL_ERROR_RT_MEMORY_FREE = 207002;          // memory free error
+static const int32_t ACL_ERROR_RT_AICORE_OVER_FLOW = 207003;     // aicore over flow
+static const int32_t ACL_ERROR_RT_NO_DEVICE = 207004;            // no device
+static const int32_t ACL_ERROR_RT_RESOURCE_ALLOC_FAIL = 207005;  // resource alloc fail
+static const int32_t ACL_ERROR_RT_NO_PERMISSION = 207006;        // no permission
+static const int32_t ACL_ERROR_RT_NO_EVENT_RESOURCE = 207007;    // no event resource
+static const int32_t ACL_ERROR_RT_NO_STREAM_RESOURCE = 207008;   // no stream resource
+static const int32_t ACL_ERROR_RT_NO_NOTIFY_RESOURCE = 207009;   // no notify resource
+static const int32_t ACL_ERROR_RT_NO_MODEL_RESOURCE = 207010;    // no model resource
+static const int32_t ACL_ERROR_RT_NO_CDQ_RESOURCE = 207011;      // no cdq resource
 
-static const int32_t ACL_ERROR_RT_INTERNAL_ERROR             = 507000; // runtime internal error
-static const int32_t ACL_ERROR_RT_TS_ERROR                   = 507001; // ts internel error
-static const int32_t ACL_ERROR_RT_STREAM_TASK_FULL           = 507002; // task full in stream
-static const int32_t ACL_ERROR_RT_STREAM_TASK_EMPTY          = 507003; // task empty in stream
-static const int32_t ACL_ERROR_RT_STREAM_NOT_COMPLETE        = 507004; // stream not complete
-static const int32_t ACL_ERROR_RT_END_OF_SEQUENCE            = 507005; // end of sequence
-static const int32_t ACL_ERROR_RT_EVENT_NOT_COMPLETE         = 507006; // event not complete
-static const int32_t ACL_ERROR_RT_CONTEXT_RELEASE_ERROR      = 507007; // context release error
-static const int32_t ACL_ERROR_RT_SOC_VERSION                = 507008; // soc version error
-static const int32_t ACL_ERROR_RT_TASK_TYPE_NOT_SUPPORT      = 507009; // task type not support
-static const int32_t ACL_ERROR_RT_LOST_HEARTBEAT             = 507010; // ts lost heartbeat
-static const int32_t ACL_ERROR_RT_MODEL_EXECUTE              = 507011; // model execute failed
-static const int32_t ACL_ERROR_RT_REPORT_TIMEOUT             = 507012; // report timeout
-static const int32_t ACL_ERROR_RT_SYS_DMA                    = 507013; // sys dma error
-static const int32_t ACL_ERROR_RT_AICORE_TIMEOUT             = 507014; // aicore timeout
-static const int32_t ACL_ERROR_RT_AICORE_EXCEPTION           = 507015; // aicore exception
-static const int32_t ACL_ERROR_RT_AICORE_TRAP_EXCEPTION      = 507016; // aicore trap exception
-static const int32_t ACL_ERROR_RT_AICPU_TIMEOUT              = 507017; // aicpu timeout
-static const int32_t ACL_ERROR_RT_AICPU_EXCEPTION            = 507018; // aicpu exception
-static const int32_t ACL_ERROR_RT_AICPU_DATADUMP_RSP_ERR     = 507019; // aicpu datadump response error
-static const int32_t ACL_ERROR_RT_AICPU_MODEL_RSP_ERR        = 507020; // aicpu model operate response error
-static const int32_t ACL_ERROR_RT_PROFILING_ERROR            = 507021; // profiling error
-static const int32_t ACL_ERROR_RT_IPC_ERROR                  = 507022; // ipc error
-static const int32_t ACL_ERROR_RT_MODEL_ABORT_NORMAL         = 507023; // model abort normal
-static const int32_t ACL_ERROR_RT_KERNEL_UNREGISTERING       = 507024; // kernel unregistering
-static const int32_t ACL_ERROR_RT_RINGBUFFER_NOT_INIT        = 507025; // ringbuffer not init
-static const int32_t ACL_ERROR_RT_RINGBUFFER_NO_DATA         = 507026; // ringbuffer no data
-static const int32_t ACL_ERROR_RT_KERNEL_LOOKUP              = 507027; // kernel lookup error
-static const int32_t ACL_ERROR_RT_KERNEL_DUPLICATE           = 507028; // kernel register duplicate
-static const int32_t ACL_ERROR_RT_DEBUG_REGISTER_FAIL        = 507029; // debug register failed
-static const int32_t ACL_ERROR_RT_DEBUG_UNREGISTER_FAIL      = 507030; // debug unregister failed
-static const int32_t ACL_ERROR_RT_LABEL_CONTEXT              = 507031; // label not in current context
-static const int32_t ACL_ERROR_RT_PROGRAM_USE_OUT            = 507032; // program register num use out
-static const int32_t ACL_ERROR_RT_DEV_SETUP_ERROR            = 507033; // device setup error
-static const int32_t ACL_ERROR_RT_VECTOR_CORE_TIMEOUT        = 507034; // vector core timeout
-static const int32_t ACL_ERROR_RT_VECTOR_CORE_EXCEPTION      = 507035; // vector core exception
-static const int32_t ACL_ERROR_RT_VECTOR_CORE_TRAP_EXCEPTION = 507036; // vector core trap exception
+static const int32_t ACL_ERROR_RT_INTERNAL_ERROR = 507000;              // runtime internal error
+static const int32_t ACL_ERROR_RT_TS_ERROR = 507001;                    // ts internel error
+static const int32_t ACL_ERROR_RT_STREAM_TASK_FULL = 507002;            // task full in stream
+static const int32_t ACL_ERROR_RT_STREAM_TASK_EMPTY = 507003;           // task empty in stream
+static const int32_t ACL_ERROR_RT_STREAM_NOT_COMPLETE = 507004;         // stream not complete
+static const int32_t ACL_ERROR_RT_END_OF_SEQUENCE = 507005;             // end of sequence
+static const int32_t ACL_ERROR_RT_EVENT_NOT_COMPLETE = 507006;          // event not complete
+static const int32_t ACL_ERROR_RT_CONTEXT_RELEASE_ERROR = 507007;       // context release error
+static const int32_t ACL_ERROR_RT_SOC_VERSION = 507008;                 // soc version error
+static const int32_t ACL_ERROR_RT_TASK_TYPE_NOT_SUPPORT = 507009;       // task type not support
+static const int32_t ACL_ERROR_RT_LOST_HEARTBEAT = 507010;              // ts lost heartbeat
+static const int32_t ACL_ERROR_RT_MODEL_EXECUTE = 507011;               // model execute failed
+static const int32_t ACL_ERROR_RT_REPORT_TIMEOUT = 507012;              // report timeout
+static const int32_t ACL_ERROR_RT_SYS_DMA = 507013;                     // sys dma error
+static const int32_t ACL_ERROR_RT_AICORE_TIMEOUT = 507014;              // aicore timeout
+static const int32_t ACL_ERROR_RT_AICORE_EXCEPTION = 507015;            // aicore exception
+static const int32_t ACL_ERROR_RT_AICORE_TRAP_EXCEPTION = 507016;       // aicore trap exception
+static const int32_t ACL_ERROR_RT_AICPU_TIMEOUT = 507017;               // aicpu timeout
+static const int32_t ACL_ERROR_RT_AICPU_EXCEPTION = 507018;             // aicpu exception
+static const int32_t ACL_ERROR_RT_AICPU_DATADUMP_RSP_ERR = 507019;      // aicpu datadump response error
+static const int32_t ACL_ERROR_RT_AICPU_MODEL_RSP_ERR = 507020;         // aicpu model operate response error
+static const int32_t ACL_ERROR_RT_PROFILING_ERROR = 507021;             // profiling error
+static const int32_t ACL_ERROR_RT_IPC_ERROR = 507022;                   // ipc error
+static const int32_t ACL_ERROR_RT_MODEL_ABORT_NORMAL = 507023;          // model abort normal
+static const int32_t ACL_ERROR_RT_KERNEL_UNREGISTERING = 507024;        // kernel unregistering
+static const int32_t ACL_ERROR_RT_RINGBUFFER_NOT_INIT = 507025;         // ringbuffer not init
+static const int32_t ACL_ERROR_RT_RINGBUFFER_NO_DATA = 507026;          // ringbuffer no data
+static const int32_t ACL_ERROR_RT_KERNEL_LOOKUP = 507027;               // kernel lookup error
+static const int32_t ACL_ERROR_RT_KERNEL_DUPLICATE = 507028;            // kernel register duplicate
+static const int32_t ACL_ERROR_RT_DEBUG_REGISTER_FAIL = 507029;         // debug register failed
+static const int32_t ACL_ERROR_RT_DEBUG_UNREGISTER_FAIL = 507030;       // debug unregister failed
+static const int32_t ACL_ERROR_RT_LABEL_CONTEXT = 507031;               // label not in current context
+static const int32_t ACL_ERROR_RT_PROGRAM_USE_OUT = 507032;             // program register num use out
+static const int32_t ACL_ERROR_RT_DEV_SETUP_ERROR = 507033;             // device setup error
+static const int32_t ACL_ERROR_RT_VECTOR_CORE_TIMEOUT = 507034;         // vector core timeout
+static const int32_t ACL_ERROR_RT_VECTOR_CORE_EXCEPTION = 507035;       // vector core exception
+static const int32_t ACL_ERROR_RT_VECTOR_CORE_TRAP_EXCEPTION = 507036;  // vector core trap exception
+static const int32_t ACL_ERROR_RT_CDQ_BATCH_ABNORMAL = 507037;          // cdq alloc batch abnormal
 
-static const int32_t ACL_ERROR_RT_DRV_INTERNAL_ERROR         = 507899; // drv internal error
-static const int32_t ACL_ERROR_RT_AICPU_INTERNAL_ERROR       = 507900; // aicpu internal error
-static const int32_t ACL_ERROR_RT_SOCKET_CLOSE               = 507901; // hdc disconnect
+static const int32_t ACL_ERROR_RT_DRV_INTERNAL_ERROR = 507899;    // drv internal error
+static const int32_t ACL_ERROR_RT_AICPU_INTERNAL_ERROR = 507900;  // aicpu internal error
+static const int32_t ACL_ERROR_RT_SOCKET_CLOSE = 507901;          // hdc disconnect
 
 #ifdef __cplusplus
 }
 #endif
 
-#endif // __INC_EXTERNEL_RT_ERROR_CODES_H__
+#endif  // __INC_EXTERNEL_RT_ERROR_CODES_H__

scripts/format_source_code.sh

@@ -0,0 +1,107 @@
+#!/bin/bash
+# Copyright 2019-2020 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+set -e
+
+CLANG_FORMAT=$(which clang-format) || (echo "Please install 'clang-format' tool first"; exit 1)
+
+version=$("${CLANG_FORMAT}" --version | sed -n "s/.*\ \([0-9]*\)\.[0-9]*\.[0-9]*.*/\1/p")
+if [[ "${version}" -lt "8" ]]; then
+  echo "clang-format's version must be at least 8.0.0"
+  exit 1
+fi
+
+CURRENT_PATH=$(pwd)
+SCRIPTS_PATH=$(dirname "$0")
+
+echo "CURRENT_PATH=${CURRENT_PATH}"
+echo "SCRIPTS_PATH=${SCRIPTS_PATH}"
+
+# print usage message
+function usage()
+{
+  echo "Format the specified source files to conform the code style."
+  echo "Usage:"
+  echo "bash $0 [-a] [-c] [-l] [-h]"
+  echo "e.g. $0 -c"
+  echo ""
+  echo "Options:"
+  echo "    -a format of all files"
+  echo "    -c format of the files changed compared to last commit, default case"
+  echo "    -l format of the files changed in last commit"
+  echo "    -h Print usage"
+}
+
+# check and set options
+function checkopts()
+{
+  # init variable
+  mode="changed"    # default format changed files
+
+  # Process the options
+  while getopts 'aclh' opt
+  do
+    case "${opt}" in
+      a)
+        mode="all"
+        ;;
+      c)
+        mode="changed"
+        ;;
+      l)
+        mode="lastcommit"
+        ;;
+      h)
+        usage
+        exit 0
+        ;;
+      *)
+        echo "Unknown option ${opt}!"
+        usage
+        exit 1
+    esac
+  done
+}
+
+# init variable
+# check options
+checkopts "$@"
+
+# switch to project root path, which contains clang-format config file '.clang-format'
+cd "${SCRIPTS_PATH}/.." || exit 1
+
+FMT_FILE_LIST='__format_files_list__'
+
+if [[ "X${mode}" == "Xall" ]]; then
+  find src -type f -name "*" | grep "\.h$\|\.cc$" > "${FMT_FILE_LIST}" || true
+  find inc -type f -name "*" | grep "\.h$\|\.cc$" >> "${FMT_FILE_LIST}" || true
+elif [[ "X${mode}" == "Xchanged" ]]; then
+  # --diff-filter=ACMRTUXB will ignore deleted files in commit
+  git diff --diff-filter=ACMRTUXB --name-only | grep "^inc\|^src" | grep "\.h$\|\.cc$" >> "${FMT_FILE_LIST}" || true
+else  # "X${mode}" == "Xlastcommit"
+  git diff --diff-filter=ACMRTUXB --name-only HEAD~ HEAD | grep "^inc\|^src" | grep "\.h$\|\.cc$" > "${FMT_FILE_LIST}" || true
+fi
+
+while read line; do
+  if [ -f "${line}" ]; then
+    ${CLANG_FORMAT} -i "${line}"
+  fi
+done < "${FMT_FILE_LIST}"
+
+rm "${FMT_FILE_LIST}"
+cd "${CURRENT_PATH}" || exit 1
+
+echo "Specified cpp source files have been format successfully."

third_party/fwkacllib/inc/cce/taskdown_common.hpp

@@ -27,15 +27,16 @@ namespace cce {
 #define CC_FUSION_OP_MAX 32
 
 typedef enum tagccKernelType {
-  CCE_AI_CORE = 0, /* cce aicore */
-  CCE_AI_CPU = 1,  /* cce aicpu */
-  TE = 2,          /* te operator*/
-  CUSTOMIZED = 3,  /* customized operator */
-  TE_AI_CORE = 4,  /* te aicore operator*/
-  TE_AI_CPU = 5,   /* te aicpu operator */
-  AI_CPU = 6,      /* aicpu */
-  CUST_AI_CPU = 7, /* custom aicpu*/
-  INVALID = 8,     /* unknown kernel type */
+  CCE_AI_CORE = 0,   /* cce aicore */
+  CCE_AI_CPU = 1,    /* cce aicpu */
+  TE = 2,            /* te operator*/
+  CUSTOMIZED = 3,    /* customized operator */
+  TE_AI_CORE = 4,    /* te aicore operator*/
+  TE_AI_CPU = 5,     /* te aicpu operator */
+  AI_CPU = 6,        /* aicpu */
+  CUST_AI_CPU = 7,   /* custom aicpu*/
+  HOST_CPU = 8,      /* host cpu */
+  INVALID = 10000    /* unknown kernel type */
 } ccKernelType;
 
 typedef struct tagOpContext {

third_party/fwkacllib/inc/hccl/base.h

@@ -124,27 +124,27 @@ struct HcomRemoteAccessAddrInfo {
 };
 
 struct HcomAllToAllVParams {
-  void *sendbuf;
-  void *sendcounts;
-  void *sdispls;
-  HcclDataType sendtype;
-  void *recvbuf;
-  void *recvcounts;
-  void *rdispls;
-  HcclDataType recvtype;
-  const char *group;
+    void *sendbuf;  // device mem
+    void *sendcounts;  // device mem;  Type: uint_64
+    void *sdispls;  // device mem;  Type: uint_64
+    HcclDataType sendtype;
+    void *recvbuf;  // device mem
+    void *recvcounts;  // device mem;  Type: uint_64 
+    void *rdispls;  // device mem;  Type: uint_64
+    HcclDataType recvtype;
+    const char *group;  // not used now
 };
 
 struct HcomGatherAllToAllVParams {
- void *addrInfo;
- void *addrInfoCountPerRank;
- void *recvbuf;
- void *recvcounts;
- void *rdispls;
- void *gatheredbuf;
- s32 addrLength;
- HcclDataType recvtype;
- const char *group;
+    void *addrInfo;  // device mem;  contains host VA[uint_64]:  [addr, length, addr, length, addr, length, ...]
+    void *addrInfoCountPerRank;  // device mem;  length: ranksize;  contains addrInfoCounts for every rank
+    void *recvbuf;  // device mem
+    void *recvcounts;  // device mem;  Type: uint_64
+    void *rdispls;  // device mem;  Type: uint_64
+    void *gatheredbuf;  // device mem
+    s32 addrLength;
+    HcclDataType recvtype;
+    const char *group;  // not used now
 };
 
 #ifdef __cplusplus

third_party/fwkacllib/inc/hccl/hcom.h

@@ -164,8 +164,22 @@ HcclResult HcomExecEnqueueRemoteAccess(const std::string& remoteAccessType,
                                        const std::vector<HcomRemoteAccessAddrInfo>& addrInfos,
                                        std::function<void(HcclResult status)> callback);
 
+/**
+ * @brief Put alltoallv communication operation into hcom executor.
+ *
+ * @param params information about alltoallv communication operation.
+ * @param callback callback after collective communication operation.
+ * @return HcclResult
+ */
 HcclResult HcomExecEnqueueAllToAllV(HcomAllToAllVParams params, std::function<void(HcclResult status)> callback);
 
+/**
+ * @brief Put agther alltoallv communication operation into hcom executor.
+ *
+ * @param params information about agther alltoallv communication operation.
+ * @param callback callback after collective communication operation.
+ * @return HcclResult
+ */
 HcclResult HcomExecEnqueueGatherAllToAllV(HcomGatherAllToAllVParams params,
                                           std::function<void(HcclResult status)> callback);
 

third_party/fwkacllib/inc/ops/array_ops.h

@@ -626,7 +626,7 @@ REG_OP(StopGradient)
 *x: A tensor. \n
 
 *@par Outputs:
-*y: A tensor. \n
+*y: A tensor with the same shape and contents as input. \n
 
 *@par Third-party framework compatibility
 *Compatible with the TensorFlow operator Identity.
@@ -666,7 +666,7 @@ REG_OP(IdentityN)
 *@li axis: The dimension index at which to expand. \n
 
 *@par Outputs:
-*y: A tensor. \n
+*y: A tensor with the same data as input, with an additional dimension inserted at the index specified by axis. \n
 
 *@par Third-party framework compatibility
 *Compatible with the TensorFlow operator ExpandDims.
@@ -713,7 +713,7 @@ REG_OP(Unsqueeze)
 *@par Outputs:
 *y: A tensor. \n
 
-*@par Attention:
+*@attention Constraints:
 *This operator cannot be directly called by the acllopExecute API. \n
 
 *@par Third-party framework compatibility

third_party/fwkacllib/inc/ops/bitwise_ops.h

@@ -26,6 +26,35 @@
 namespace ge {
 
 /**
+*@brief Element-wise computes the bitwise left-shift of x and y . \n
+
+*@par Inputs:
+*Input "x" is a k-dimensional tensor. Inputs "num_lower" and "num_upper"
+are 0D scalars.
+* @li x: A Tensor. Must be one of the following types: int8, int16, int32,
+int64, uint8, uint16, uint32, uint64.
+* @li y: A Tensor. Has the same type as "x".  \n
+
+*@par Outputs:
+* z: A Tensor. Has the same type as "x".  \n
+
+*@attention Constraints:
+*Unique runs on the Ascend AI CPU, which delivers poor performance.  \n
+
+*@par Third-party framework compatibility
+*Compatible with the TensorFlow operator LeftShift.
+*/
+
+REG_OP(LeftShift)
+    .INPUT(x, TensorType({DT_INT8, DT_INT16, DT_INT32, DT_INT64, \
+           DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64}))
+    .INPUT(y, TensorType({DT_INT8, DT_INT16, DT_INT32, DT_INT64, \
+           DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64}))
+    .OUTPUT(z, TensorType({DT_INT8, DT_INT16, DT_INT32, DT_INT64, \
+            DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64}))
+    .OP_END_FACTORY_REG(LeftShift)
+
+/**
 *@brief Element-wise computes the bitwise right-shift of x and y . \n
 
 *@par Inputs:

third_party/fwkacllib/inc/ops/control_flow_ops.h

@@ -96,7 +96,7 @@ REG_OP(RefMerge)
  *       Otherwise, the data is forwarded to "output_false" . \n
 
  *@par Inputs:
- *@li data: The tensor to be forwarded. \ n
+ *@li data: The tensor to be forwarded. \n
  *          Must be one of the following types: float16, float32, float64,
  *          int8, int16, int32, int64, uint8, uint16, uint32, uint64, bool.
  *@li pred: A boolean scalar. The output port that will receive data . \n

third_party/fwkacllib/inc/ops/data_flow_ops.h

@@ -2340,9 +2340,9 @@ REG_OP(CacheAllIndexToLocal)
 *@par Attributes:
 *output_types: types of all outputs
 *output_shapes: shapes of all outputs
-*_dynamic_graph_execute_mode: dynamic graph execution mode, 
+*_dynamic_graph_execute_mode: dynamic graph execution mode,
 value is one of lazy_recompile and dynamic_execute
-*_getnext_inputs_shape_range: shape ranges of outputs, 
+*_getnext_inputs_shape_range: shape ranges of outputs,
 it works where _dynamic_graph_execute_mode is dynamic_execute
 *@par Restrictions:
 *Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
@@ -2355,6 +2355,24 @@ REG_OP(DynamicGetNext)
   .ATTR(_dynamic_graph_execute_mode, String, "lazy_recompile")
   .ATTR(_getnext_inputs_shape_range, String, "")
   .OP_END_FACTORY_REG(DynamicGetNext)
+
+/**
+*@brief AdpGetNext
+*@par Outputs:
+*y: the data in iterator, all types are available
+*@par Attributes:
+*output_types: types of all outputs
+*output_shapes: shapes of all outputs
+*queue_name: cdqm queue name
+*@par Restrictions:
+*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
+*/
+REG_OP(AdpGetNext)
+  .DYNAMIC_OUTPUT(y, TensorType::ALL())
+  .ATTR(output_types, ListType, {})
+  .ATTR(output_shapes, ListListInt, {{}, {}})
+  .ATTR(queue_name, String, "")
+  .OP_END_FACTORY_REG(AdpGetNext)
 }   // namespace ge
 
 #endif  // OPS_BUILT_IN_OP_PROTO_INC_DATA_FLOW_OPS_H_

third_party/fwkacllib/inc/ops/elewise_calculation_ops.h

@@ -3250,7 +3250,7 @@ REG_OP(Fills)
 *value: A scale. Must be float. \n
 
 *@par Outputs:
-*@li y: A Tensor. Has the same type and shape as "x1". \n
+*y: A Tensor. Has the same type and shape as "x1". \n
 
 *@par Third-party framework compatibility:
 * Compatible with the Pytorch operator adds.

third_party/fwkacllib/inc/ops/hcom_ops.h

@@ -280,5 +280,77 @@ REG_OP(HcomRemoteScatterWrite)
     .OPTIONAL_INPUT(local_offset, TensorType({DT_UINT64}))
     .OP_END_FACTORY_REG(HcomRemoteScatterWrite)
 
+/**
+ * @brief All ranks send different amount of data to, and receive different
+  amount of data from, all ranks.
+ * @par Inputs:
+ * Five inputs, including:
+ * @li send_data: A tensor. the memory to send.
+ * @li send_counts: A list, where entry i specifies the number of elements in
+  send_data to send to rank i.
+ * @li send_displacements: A list, where entry i specifies the displacement
+  (offset from sendbuf) from which to send data to rank i.
+ * @li recv_counts: A list, where entry i specifies the number of 
+  elements to receive from rank i.
+ * @li recv_displacements: A list, , where entry i specifies the displacement
+  (offset from recv_data) to which data from rank i should be written.
+ * @par Outputs:
+ * recv_data: A Tensor  has same element type as send_data.
+ * @par Attributes:
+ * @li group: A string identifying the group name of ranks participating in
+  the op.
+* @attention all ranks participating in the op should be full-mesh networking
+  using the RDMA.
+ */
+REG_OP(HcomAllToAllV)
+    .INPUT(send_data, TensorType({DT_FLOAT, DT_INT32, DT_INT8, DT_INT16, DT_FLOAT16, DT_INT64, DT_UINT64}))
+    .INPUT(send_counts, TensorType({DT_INT64}))
+    .INPUT(send_displacements, TensorType({DT_INT64}))
+    .INPUT(recv_counts, TensorType({DT_INT64}))
+    .INPUT(recv_displacements, TensorType({DT_INT64}))
+    .OUTPUT(recv_data, TensorType({DT_FLOAT, DT_INT32, DT_INT8, DT_INT16, DT_FLOAT16, DT_INT64, DT_UINT64}))
+    .REQUIRED_ATTR(group, String)
+    .OP_END_FACTORY_REG(HcomAllToAllV)
+
+/**
+ * @brief All ranks send different amount of data to, and receive different
+  amount of data from, all ranks. And concat all data descripting by addrinfo
+  togather into output gathered.
+ * @par Inputs:
+ * Four inputs, including:
+ * @li addrinfo: A tensor, descripting the memory info(address, length) to send.
+ * @li addrinfo_count_per_rank: A list, where entry i specifies the number of
+  elements in send_data to send to rank i.
+ * @li recv_counts: A list, where entry i specifies the number of 
+  elements to receive from rank i.
+ * @li recv_displacements: A list, , where entry i specifies the displacement 
+  (offset from recv_data) to which data from rank i should be written.
+ * @par Outputs:
+ * Two outputs, including:
+ * @li recv_data: A Tensor  has same element type as dtype.
+ * @li gathered: A Tensor  has same element type as dtype.
+ * @par Attributes:
+ * @li group: A string identifying the group name of ranks participating in
+  the op.
+ * @li dtype: Datatype of send buffer elements.
+ * @li addr_length: descripting the element memory length in the addrinfo.
+  -2: all element memory length in the addrinfo is the same, but it is unknown.
+  -1: all element memory length is unknown.
+  >0: all element memory length in the addrinfo is the same. the attr value is the memory length.
+ * @attention all ranks participating in the op should be full-mesh networking
+  using the RDMA.
+ */
+REG_OP(HcomGatherAllToAllV)
+    .INPUT(addrinfo, TensorType({DT_UINT64}))
+    .INPUT(addrinfo_count_per_rank, TensorType({DT_INT64}))
+    .INPUT(recv_counts, TensorType({DT_INT64}))
+    .INPUT(recv_displacements, TensorType({DT_INT64}))
+    .OUTPUT(recv_data, TensorType({DT_FLOAT, DT_INT32, DT_INT8, DT_INT16, DT_FLOAT16, DT_INT64, DT_UINT64}))
+    .OUTPUT(gathered, TensorType({DT_FLOAT, DT_INT32, DT_INT8, DT_INT16, DT_FLOAT16, DT_INT64, DT_UINT64}))
+    .REQUIRED_ATTR(group, String)
+    .REQUIRED_ATTR(dtype, Type)
+    .REQUIRED_ATTR(addr_length, Int)
+    .OP_END_FACTORY_REG(HcomGatherAllToAllV)
+
 } // namespace ge
 #endif  // OPS_BUILT_IN_OP_PROTO_INC_HCOM_OPS_H_

third_party/fwkacllib/inc/ops/math_ops.h

@@ -1006,6 +1006,32 @@ REG_OP(SoftMarginLossGrad)
     .OP_END_FACTORY_REG(SoftMarginLossGrad)
 
 /**
+*@brief Calculate the cross product of two tensors. \n
+
+*@par Inputs:
+*One inputs, including:
+* @li x1: A tensor. Must be one of the following types:
+*     float16, float32, int32, int8, uint8, int16. \n
+* @li x2: A tensor. Must be one of the following types:
+*     float16, float32, int32, int8, uint8, int16. \n
+
+*@par Attributes:
+*@li dim: the dimination of compute.Defaults to -65530. \n
+
+*@par Outputs:
+*y: A Tensor with the same type and shape of x1's. \n
+
+*@par Third-party framework compatibility
+*Compatible with the Pytorch operator cross. \n
+*/
+REG_OP(Cross)
+    .INPUT(x1, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT32, DT_INT8, DT_UINT8, DT_INT16}))
+    .INPUT(x2, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT32, DT_INT8, DT_UINT8, DT_INT16}))
+    .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT32, DT_INT8, DT_UINT8, DT_INT16}))
+    .ATTR(dim, Int, -65530)
+    .OP_END_FACTORY_REG(Cross)
+
+/**
  *@brief Computes batched the p-norm distance between each pair of
  *the two collections of row vectors. \n
 

third_party/fwkacllib/inc/ops/nn_norm_ops.h

@@ -337,6 +337,41 @@ REG_OP(SoftmaxV2)
     .OP_END_FACTORY_REG(SoftmaxV2)
 
 /**
+*@brief Function softmax with dropoutDoMaskV3D
+
+*@par Inputs:
+*Two inputs, including:
+* @li x: A mutable Tensor. The type only support float16.
+* @li mask: A mutable Tensor. Must met all of the following rules:
+*     shape of mask should be 1D.
+*     dtype of mask should be uint8.
+*     value of shape should met the following algorithm:
+*     value = (size(x) + 128 - 1) // 128 * 128
+
+*@par Attributes:
+* @li keep_prob: A mutable Tensor. Must met all of the following rules:
+*     shape of "keep_prob" should be (1,) or [1,].
+*     Has the same type as "x" . \n
+* @li axes: A list of int. The dimension softmax would be performed on. Defaults
+*     to "[-1]" . \n
+
+*@par Outputs:
+*y1: A mutable Tensor. Has the same type as "x".
+*y2: A mutable Tensor. Has the same type as "x". \n
+
+*@par Restrictions:
+*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
+*/
+REG_OP(SoftmaxV2WithDropOutDoMaskV3D)
+    .INPUT(x, TensorType({DT_FLOAT16}))
+    .INPUT(mask, TensorType({DT_UINT8}))
+    .OUTPUT(y1, TensorType({DT_FLOAT16}))
+    .OUTPUT(y2, TensorType({DT_FLOAT16}))
+    .REQUIRED_ATTR(keep_prob, Float)
+    .ATTR(axes, ListInt, {-1})
+    .OP_END_FACTORY_REG(SoftmaxV2WithDropOutDoMaskV3D)
+
+/**
 *@brief Computes log softmax activations . \n
 
 *@par Inputs:
@@ -1150,22 +1185,23 @@ REG_OP(INInferV2D)
     .OP_END_FACTORY_REG(INInferV2D)
 
 /**
-* @brief perform instance normalization to x. \n
+* @brief InstanceNorm operator interface implementation.
 
 * @par Inputs:
 * Three inputs, including:
-* @li x: A Tensor. Must be one of the following types: float16, float32, format is NC1HWC0.
-* @li gamma: A Tensor. Must be one of the following types: float16, float32, format is ND.
-* @li beta: A Tensor. Must be one of the following types: float16, float32, format is ND.
+* @li x: A Tensor. Must be one of the following types: float16, float32.
+* @li gamma: A Tensor. Must be one of the following types: float16, float32.
+* @li beta: A Tensor. Must be one of the following types: float16, float32.
 
 * @par Attributes:
 * @li data_format: An attribute of type String \n
-* @li epsilon: An attribute of type Float, . \n
+* @li epsilon: An attribute of type Float. \n
 
 * @par Outputs:
-* @li y: A Tensor. Has the same type as "x", format is NC1HWC0. \n
-* @li mean: A Tensor. Has the same type as "x", format is NC1HWC0 and the shape is [N, C1, 1, 1, C0]. \n
-* @li variance: A Tensor. Has the same type as "x", format is NC1HWC0 and the shape is [N, C1, 1, 1, C0]. \n
+*Three outputs, including:
+* @li y: A Tensor. Has the same type as "x". \n
+* @li mean: A Tensor. Has the same type as "x". \n
+* @li variance: A Tensor. Has the same type as "x". \n
 
 * @par Third-party framework compatibility
 * Can be used by onnx InstanceNormalization
@@ -1177,11 +1213,94 @@ REG_OP(InstanceNorm)
     .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT}))
     .OUTPUT(mean, TensorType({DT_FLOAT16, DT_FLOAT}))
     .OUTPUT(variance, TensorType({DT_FLOAT16, DT_FLOAT}))
-    .REQUIRED_ATTR(data_format, String)
-    .REQUIRED_ATTR(epsilon, Float)
+    .ATTR(data_format, String, "NDHWC")
+    .ATTR(epsilon, Float, 1e-6)
     .OP_END_FACTORY_REG(InstanceNorm)
 
 /**
+*@brief InstanceNormGrad operator interface implementation.
+
+*@par Inputs:
+*Five inputs, including:
+* @li dy: A Tensor. Must be one of the following types: float16, float32.
+* @li x: A Tensor. Must be one of the following types: float16, float32.
+* @li variance: A Tensor. Must be one of the following types: float16, float32.
+* @li mean: A Tensor. Must be one of the following types: float16, float32.
+* @li gamma: A Tensor. Must be one of the following types: float16, float32 . \n
+
+*@par Outputs:
+*Three outputs, including:
+* @li pd_x: A Tensor. Must be one of the following types: float16, float32.
+* @li pd_gamma: A Tensor. Must be one of the following types: float16, float32.
+* @li pd_beta: A Tensor. Must be one of the following types: float16, float32.
+
+*@par Restrictions:
+*Warning: THIS FUNCTION IS EXPERIMENTAL.  Please do not use.
+*/
+REG_OP(InstanceNormGrad)
+    .INPUT(dy, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(variance, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(mean, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(gamma, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OUTPUT(pd_x, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OUTPUT(pd_gamma, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OUTPUT(pd_beta, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OP_END_FACTORY_REG(InstanceNormGrad)
+
+/**
+*@brief InstanceNormXBackprop operator interface implementation.
+
+*@par Inputs:
+*Five inputs, including:
+* @li dy: A Tensor. Must be one of the following types: float16, float32.
+* @li x: A Tensor. Must be one of the following types: float16, float32.
+* @li variance: A Tensor. Must be one of the following types: float16, float32.
+* @li mean: A Tensor. Must be one of the following types: float16, float32.
+* @li gamma: A Tensor. Must be one of the following types: float16, float32 . \n
+
+*@par Outputs:
+*Two outputs, including:
+* @li pd_x: A Tensor. Must be one of the following types: float16, float32.
+* @li res_for_gamma: A Tensor. Must be one of the following types: float32.
+
+*@par Restrictions:
+*Warning: THIS FUNCTION IS EXPERIMENTAL.  Please do not use.
+*/
+REG_OP(InstanceNormXBackprop)
+    .INPUT(dy, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(variance, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(mean, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(gamma, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OUTPUT(pd_x, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OUTPUT(res_for_gamma, TensorType({DT_FLOAT}))
+    .OP_END_FACTORY_REG(InstanceNormXBackprop)
+
+/**
+*@brief InstanceNormBetaGammaBackprop operator interface implementation.
+
+*@par Inputs:
+*Two inputs, including:
+* @li dy: A Tensor. Must be one of the following types: float16, float32.
+* @li res_for_gamma: A Tensor. Must be one of the following types: float32.\n
+
+*@par Outputs:
+*Two outputs, including:
+* @li pd_gamma: A Tensor. Must be one of the following types: float16, float32.
+* @li pd_beta: A Tensor. Must be one of the following types: float16, float32.
+
+*@par Restrictions:
+*Warning: THIS FUNCTION IS EXPERIMENTAL.  Please do not use.
+*/
+REG_OP(InstanceNormBetaGammaBackprop)
+    .INPUT(dy, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(res_for_gamma, TensorType({DT_FLOAT}))
+    .OUTPUT(pd_gamma, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OUTPUT(pd_beta, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OP_END_FACTORY_REG(InstanceNormBetaGammaBackprop)
+
+/**
 * @brief Computes Kl_div_loss_grad or Kl_div_loss_backward. \n
 
 * @par Inputs:
@@ -1571,6 +1690,27 @@ REG_OP(MultilabelMarginLoss)
     .ATTR(reduction, String, "mean")
     .OP_END_FACTORY_REG(MultilabelMarginLoss)
 
+/**
+*@brief Performs batch normalization . \n
+*@par Inputs:
+* Two inputs
+*@li input_x: A Tensor. Support float32. shape (n, c, d).
+*@li seq_len: A Tensor. Each batch normalize data num. Support Int32. Shape (n, ). \n
+*@par Attributes:
+*@li normalize_type: Str. Support "per_feature" or "all_features".
+*@li epsilon: An optional float32, specifying the small value added to
+variance to avoid dividing by zero. Defaults to "0.00001" . \n
+*@par Outputs:
+* One outputs
+*@li output_y: A Tensor for the normalized "x".Support float32. shape (n, c, d).\n
+*/
+REG_OP(NormalizeBatch)
+    .INPUT(input_x, TensorType({ DT_FLOAT }))
+    .INPUT(seq_len, TensorType({ DT_INT32 }))
+    .OUTPUT(output_y, TensorType({ DT_FLOAT }))
+    .REQUIRED_ATTR(normalize_type, String)
+    .ATTR(epsilon, Float, 0.00001)
+    .OP_END_FACTORY_REG(NormalizeBatch)
 }  // namespace ge
 
 #endif  // OPS_BUILT_IN_OP_PROTO_INC_NN_NORM_OPS_H_

third_party/fwkacllib/inc/ops/reduce_ops.h

@@ -990,7 +990,7 @@ REG_OP(INInferV2)
 *@brief Performs reduced instance normalization . \n
 
 *@par Inputs:
-*x: A Tensor of type float16 or float32, with format NC1HWC0 . \n
+*x: A Tensor of type float16 or float32. \n
 
 *@par Outputs:
 *@li sum: A Tensor of type float32 for SUM reduced "x".
@@ -1013,19 +1013,19 @@ REG_OP(INTrainingReduceV2)
 *@par Inputs:
 * Seven inputs, including: (NC1HWC0supported)
 *@li x: A Tensor of type float16 or float32.
-*@li sum: A T [N, C1, 1, 1, C0] ensor of type float32 for the output of operator INTrainingReduceV2.
-*@li square_sum: A  [N, C1, 1, 1, C0] Tensor of type float32 for the output of operator INTrainingReduceV2.
-*@li gamma: A  [N, C1, 1, 1, C0] Tensor of type float32, for the scaling gamma.
-*@li beta: A  [N, C1, 1, 1, C0] Tensor of type float32, for the scaling beta.
-*@li mean: A  [N, C1, 1, 1, C0] Tensor of type float32, for the updated mean.
-*@li variance: A  [N, C1, 1, 1, C0] Tensor of type float32, for the updated variance . \n
+*@li sum: A Tensor of type float32 for the output of operator INTrainingReduceV2.
+*@li square_sum: A Tensor of type float32 for the output of operator INTrainingReduceV2.
+*@li gamma: A Tensor of type float32, for the scaling gamma.
+*@li beta: A Tensor of type float32, for the scaling beta.
+*@li mean: A Tensor of type float32, for the updated mean.
+*@li variance: A Tensor of type float32, for the updated variance . \n
 
 *@par Attributes:
 *@li momentum: A required float32, specifying the momentum to update mean and var.
 *@li epsilon: A required float32, specifying the small value added to variance to avoid dividing by zero . \n
 
 *@par Outputs:
-* Three outputs, including: (NC1HWC0 supported)
+* Three outputs
 *@li y: A Tensor of type float16 or float32, for normalized "x".
 *@li batch_mean: A Tensor of type float32, for the updated mean.
 *@li batch_variance: A Tensor of type float32, for the updated variance . \n
@@ -1191,6 +1191,40 @@ REG_OP(ReduceStd)
     .ATTR(unbiased, Bool, true)
     .ATTR(keepdim, Bool, false)
     .OP_END_FACTORY_REG(ReduceStd)
+
+/**
+* @brief Calculates the standard deviation of Tensors.
+
+* @par Inputs:
+* include:
+* @li x: A Tensor. Must be one of the following types: float16, float32. \n
+* @li mean: A Tensor. It's the mean of X. Must be one of the following types: float16, float32. \n
+
+
+* @par Attributes:
+* Three Attributes, including:
+* @li dim: An optional listint, Defaults to "None". \n
+* @li unbiased: An optional bool. Defaults to "True".
+*     If "True", Use Bessel Correction.
+*     If "False", Do not use Bessel Correction. \n
+* @li keepdim: An optional bool. Defaults to "False".
+*     If "True", Keep the original tensor dimension.
+*     If "False", Do not keep the original tensor dimension. \n
+
+* @par Outputs:
+* @li y: A Tensor. It's the std of X. Has the same type as "x".
+
+* @par Third-party framework compatibility
+* Compatible with the Pytorch operator ReduceStdWithMean.
+*/
+REG_OP(ReduceStdWithMean)
+    .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .INPUT(mean, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16}))
+    .ATTR(dim, ListInt, {})
+    .ATTR(unbiased, Bool, true)
+    .ATTR(keepdim, Bool, false)
+    .OP_END_FACTORY_REG(ReduceStdWithMean)
 } //namespace ge
 
 #endif  // OPS_BUILT_IN_OP_PROTO_INC_REDUCE_OPS_H_

third_party/fwkacllib/inc/ops/selection_ops.h

@@ -2273,6 +2273,40 @@ REG_OP(AddRowRanges)
     .OUTPUT(x, TensorType({DT_FLOAT16,DT_FLOAT}))
     .OP_END_FACTORY_REG(AddRowRanges)
 
+/**
+*@brief masked fill tensor along with one axis by range.
+* boxes. It is a customized masked fill range operator . \n
+
+*@par Inputs:
+* Four inputs, including:
+*@li x: input tensor. A ND Tensor of float32/float16/int32/int8 with shapes
+* 1-D (D,), 2-D(N, D), 3-D(N, C, D)
+*@li start: masked fill start pos. A 3D Tensor of int32 with
+* shape (num, N). "num" indicates the number of loop masked fill, and the value N
+* indicates the batch of ND Tensor, if input x shape is 1-D, N = 1. \n
+*@li end: masked fill end pos. A 3D Tensor of int32 with
+* shape (num, N). "num" indicates the number of loop masked fill, and the value N
+* indicates the batch of ND Tensor. \n
+*@li value: masked fill value. A 2D Tensor of float32/float16/int32/int8 with
+* shape (num,). "num" indicates the number of loop masked fill
+
+*@par Attributes:
+*@li axis: axis with masked fill of int32. Defaults to -1.
+
+*@par Outputs:
+*y: A ND Tensor of float32/float16/int32/int8 with shapes 1-D (D,), 2-D(N, D), 3-D(N, C, D)
+
+* @par Restrictions:
+* Warning: input shape's length must not be bigger than 1024 * 1024 * 1024.
+*/
+REG_OP(MaskedFillRange)
+    .INPUT(x, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32}))
+    .INPUT(start, TensorType({DT_INT32}))
+    .INPUT(end, TensorType({DT_INT32}))
+    .INPUT(value, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32}))
+    .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32}))
+    .REQUIRED_ATTR(axis, Int)
+    .OP_END_FACTORY_REG(MaskedFillRange)
 } // namespace ge
 
 #endif  // OPS_BUILT_IN_OP_PROTO_INC_SELECTION_OPS_H_

third_party/fwkacllib/inc/ops/split_combination_ops.h

@@ -317,15 +317,15 @@ REG_OP(Concat)
 *     int64, uint8, uint16, uint32, uint64, float16, float32, bool . It's a dynamic input. \n
 
 *@par Attributes:
-*@li axis: A optional int, defaultvalue is 0.
+*@li axis: A optional int, default value is 0.
 *     Dimension along which to pack. The range is [-(R+1), R+1).
 *@li N: A required int. Number of tensors . \n
 
 *@par Outputs:
 *y: A Tensor. Has the same type as "x".
+
 *@par Third-party framework compatibility
-*Compatible with the TensorFlow operator Pack.
-It's a dynamic output.
+* Compatible with the TensorFlow operator Pack.
 */
 REG_OP(Pack)
     .DYNAMIC_INPUT(x, TensorType::BasicType())

third_party/fwkacllib/inc/ops/string_ops.h

@@ -896,6 +896,45 @@ REG_OP(DecodeBase64)
     .INPUT(x, TensorType({DT_STRING}))
     .OUTPUT(y, TensorType({DT_STRING}))
     .OP_END_FACTORY_REG(DecodeBase64)
+
+/**
+*@brief StringNormalization performs string operations for basic cleaning . \n
+
+*@par Inputs:
+*@li input: only accepts [C] or [1, C] UTF-8 strings tensor . \n
+
+*@par Outputs:
+*@li output: UTF-8 strings tensor after cleaning . \n
+
+*@par Attributes:
+*@li stopwords : list of strings (default is empty).
+*List of stop words. If not set, no word would be removed from input strings
+tensor.
+
+*@li is_case_sensitive : bool (default is false).
+*Boolean. Whether the identification of stop words in input strings tensor is
+case-sensitive. Default is false.
+
+*@li case_change_action : string (default is "NONE").
+*string enum that cases output to be lowercased/uppercases/unchanged. Valid
+values are "LOWER", "UPPER", "NONE". Default is "NONE".
+
+*@li local : string (default is "en_US").
+*Environment dependent string that denotes the locale according to which output
+strings needs to be upper/lowercased.Default en_US or platform specific equivalent
+as decided by the implementation . \n
+
+*@attention Constraints:
+*@li input can be either a 1-D or 2-D tensor, the shape of 2-D tensor must be [1, C].
+*/
+REG_OP(StringNormalizer)
+    .INPUT(input, TensorType({DT_STRING}))
+    .OUTPUT(output, TensorType({DT_STRING}))
+    .ATTR(stopwords, ListString, {})
+    .ATTR(is_case_sensitive, Bool, false)
+    .ATTR(case_change_action, String, "NONE")
+    .ATTR(local, String, "en_US")
+    .OP_END_FACTORY_REG(StringNormalizer)
 }  // namespace ge
 
 #endif  // OPS_BUILT_IN_OP_PROTO_INC_STRING_OPS_H_

third_party/fwkacllib/inc/ops/transformation_ops.h

@@ -130,21 +130,20 @@ REG_OP(Transpose)
     .OP_END_FACTORY_REG(Transpose)
 
 /**
-*@brief Doing format_transfer for various data format only
-support "NHWC/NCHW" to "NC1HWC0" and "NC1HWC0" to "NHWC/NCHW"
-"NCHW" to "FRACTAL_Zn" or "FRACTAL_Zn" to "NCHW".
-"HWCN" to "FRACTAL_Zn" or "FRACTAL_Zn" to "HWCN" . \n
+*@brief Do format transfer for various data format.
+* In general, the framework will insert it atomatically . \n
 
 *@par Inputs:
-*src: A Tensor dtype of all types . \n
+*src: A Tensor. For all branches can be types: float16, float32, int32, int8, bool.
+* For branches without padding also can be types: int16, int64, uint8, uint16, uint32, uint64 . \n
 
 *@par Attributes:
-*@li src_format: A string source data format, can be "NHWC", "NCHW", "FRACTAL_Zn" etc.
-*@li dst_format: A string target data format, can be "NC1HWC0", "NCHW", "FRACTAL_Zn" etc.
+*@li src_format: A string source data format, can be "NHWC", "NCHW", "FRACTAL_Z" etc.
+*@li dst_format: A string target data format, can be "NC1HWC0", "NCHW", "FRACTAL_Z" etc.
 *@li group: A optional int32, default value is 1. \n
 
 *@par Outputs:
-*dst: A Tensor dtype of all types.
+*dst: A Tensor. Has the same type as "src".
 */
 REG_OP(TransData)
     .INPUT(src, TensorType::BasicType())
@@ -174,21 +173,27 @@ REG_OP(Permute)
     .OP_END_FACTORY_REG(Permute)
 
 /**
-*@brief Flattens the inputs. Reserves axis 0 and flattens the input tensors
-* along axis 1 . \n
+*@brief Flattens the inputs tensor into a 2D matrix. If input tensor has shape (d_0, d_1,..., d_n),
+* then the output will have shape (d_0 X d_1 ... d_(axis-1), d_axis X d_(axis + 1)...X d_n)\n
 
 *@par Inputs:
-*One input:
-*x: A multi-dimensional Tensor. Must be one of the following types:
-* int8, uint8, int16, uint16, int32, uint32, int64,uint64, float16, float32 . \n
+* One input:
+* x: A multi-dimensional Tensor. Must be one of the following types:
+* int8, uint8, int16, uint16, int32, uint32, int64,uint64, float16, float32.
 
 *@par Outputs:
-*y: A 2D flattened Tensor (Reserves axis 0 and flattens the input tensors
-* along axis 1). Must be one of the following data types: int8, uint8, int16,
-* uint16, int32, uint32, int64,uint64, float16, float32 . \n
+* y: A 2D flattened Tensor with the contents of the input tensor, with input dimensions up to axis flattened 
+* to the outer dimension of the output and remaining input dimensions flattened into the inner dimension of the output.
+* Must be one of the following data types: int8, uint8, int16, uint16, int32, uint32, int64,uint64, float16, float32 .
+
+*@par Attributes:
+* axis: A optional int32, default value is 1. Indicate up to which input dimensions (exclusive) should be flattened 
+* to the outer dimension of the output. The value for axis must be in the range [-r, r], where r is the rank of 
+* the input tensor. Negative value means counting dimensions from the back. When axis = 0, the shape of 
+* the output tensor is (1, (d_0 X d_1 ... d_n), where the shape of the input tensor is (d_0, d_1, ... d_n).
 
 *@par Third-party framework compatibility
-* Compatible with TensorFlow operator Flatten.
+* Compatible with TensorFlow / ONNX operator Flatten.
 */
 REG_OP(Flatten)
     .INPUT(x, TensorType({DT_INT8, DT_INT16, DT_INT32, DT_INT64,
@@ -197,6 +202,7 @@ REG_OP(Flatten)
     .OUTPUT(y, TensorType({DT_INT8, DT_INT16, DT_INT32, DT_INT64,
                            DT_UINT8, DT_UINT16, DT_UINT32, DT_UINT64,
                            DT_FLOAT, DT_FLOAT16}))
+    .ATTR(axis, Int, 1)
     .OP_END_FACTORY_REG(Flatten)
 
 /**
@@ -824,6 +830,98 @@ REG_OP(AffineGrid)
     .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT}))
     .ATTR(align_corners, Bool, false)
     .OP_END_FACTORY_REG(AffineGrid)
+
+/**
+*@brief  Make memory of a view be contiguous. \n
+
+*@par Inputs:
+*Four inputs, including:
+*@li x: The input tensor.
+*@li size: The shape of output tensor. 
+*@li stride: The stride of output tensor.
+*@li storage_offset: The offset in the underlying storage of the output tensor. \n
+
+*@par Outputs:
+*y: A Tensor. Has the same type as "x" . \n
+
+*@par Third-party framework compatibility
+*Compatible with the pytorch operator as_strided.
+*/
+REG_OP(AsStrided)
+    .INPUT(x, TensorType::BasicType())
+    .INPUT(size, TensorType::IndexNumberType())
+    .INPUT(stride, TensorType::IndexNumberType())
+    .INPUT(storage_offset, TensorType::IndexNumberType())
+    .OUTPUT(y, TensorType::BasicType())
+    .OP_END_FACTORY_REG(AsStrided)
+
+/**
+*@brief This transform extracts n-grams from the input sequence and save them as a
+vector. \n
+
+*@par Inputs:
+*@li input: can be either a 1-D or 2-D tensor for n-gram extraction, It is ether string UTF-8 or int32/int64 . \n
+
+*@par Attributes:
+*@li max_gram_length : int (required)
+*Maximum n-gram length. If this value is 3, 3-grams will be used to generate the output .
+*@li max_skip_count : int (required)
+*Maximum number of items (integers/strings) to be skipped when constructing an n-gram from X.
+If max_skip_count=1, min_gram_length=2, max_gram_length=3, this operator may generate 2-grams
+with skip_count=0 and skip_count=1, and 3-grams with skip_count=0 and skip_count=1.
+*@li min_gram_length : int (required)
+*Minimum n-gram length. If this value is 2 and max_gram_length is 3, output may contain counts of
+2-grams and 3-grams.
+*@li mode : string (required)
+*The weighting criteria. It can be one of "TF" (term frequency), "IDF" (inverse document frequency),
+and "TFIDF" (the combination of TF and IDF).
+*@li ngram_counts : list of ints (required)
+*The starting indexes of 1-grams, 2-grams, and so on in pool. It is useful when determining the boundary
+between two consecutive collections of n-grams. For example, if ngram_counts is [0, 17, 36],
+the first index (zero-based) of 1-gram/2-gram/3-gram in pool are 0/17/36. This format is essentially identical
+to CSR (or CSC) sparse matrix format, and we choose to use this due to its popularity.
+*@li ngram_indexes : list of ints (required)
+*list of int64s (type: AttributeProto::INTS). This list is parallel to the specified 'pool_*' attribute. The i-th element
+in ngram_indexes indicate the coordinate of the i-th n-gram in the output tensor.
+*@li pool_int64s : list of ints
+*List of int64 n-grams learned from the training set. Either this or pool_strings attributes must be present but not both.
+It's an 1-D tensor starting with the collections of all 1-grams and ending with the collections of n-grams. The i-th element
+in pool stores the n-gram that should be mapped to coordinate ngram_indexes[i] in the output vector.
+*@li pool_strings : list of strings
+*List of strings n-grams learned from the training set. Either this or pool_int64s attributes must be present but not both.
+It's an 1-D tensor starting with the collections of all 1-grams and ending with the collections of n-grams. The i-th element
+in pool stores the n-gram that should be mapped to coordinate ngram_indexes[i] in the output vector.
+*@li weights : list of floats
+*list of floats. This attribute stores the weight of each n-gram in pool. The i-th element in weights is the weight of
+the i-th n-gram in pool. Its length equals to the size of ngram_indexes. By default, weights is an all-one tensor.This attribute
+is used when mode is "IDF" or "TFIDF" to scale the associated word counts. \n
+
+*@par Outputs:
+*@li output: tensor(float)
+*For 1-D input, output is the n-gram representation of that input. For 2-D input, the output is also a 2-D tensor
+whose i-th row is the n-gram representation of the i-th input row. More specifically, if input shape is [C], the corresponding
+output shape would be [max(ngram_indexes) + 1]. If input shape is [N, C], this operator produces a [N, max(ngram_indexes) + 1]-tensor. \n
+
+*@attention Constraints:
+*@li input can be either a 1-D or 2-D tensor, shape is [C] or [N, C].
+*@li max(ngram_indexes) + 1 == len(weights), len(y) == len(weights).
+*@li ngram_counts and pool(pool_int64s or pool_strings) must match.
+*@li either pool_strings or pool_int64s attributes must be present but not both.
+*/
+
+REG_OP(TfidVectorizer)
+    .INPUT(input, TensorType({DT_INT32, DT_INT64, DT_STRING}))
+    .OUTPUT(output, TensorType({DT_FLOAT}))
+    .REQUIRED_ATTR(max_gram_length, Int)
+    .REQUIRED_ATTR(max_skip_count, Int)
+    .REQUIRED_ATTR(min_gram_length, Int)
+    .REQUIRED_ATTR(mode, String)
+    .REQUIRED_ATTR(ngram_counts, ListInt)
+    .REQUIRED_ATTR(ngram_indexes, ListInt)
+    .ATTR(pool_int64s, ListInt, {})
+    .ATTR(pool_strings, ListString, {})
+    .ATTR(weights, ListFloat, {})
+    .OP_END_FACTORY_REG(TfidVectorizer)
 }  // namespace ge
 
 #endif  // OPS_BUILT_IN_OP_PROTO_INC_TRANSFORMATION_OPS_H_

third_party/fwkacllib/inc/runtime/rt_stars.h

@@ -23,6 +23,62 @@ extern "C" {
  */
 RTS_API rtError_t rtStarsTaskLaunch(const void *taskSqe, uint32_t sqeLen, rtStream_t stream);
 
+/**
+ * @ingroup rt_stars
+ * @brief create cdq instance.
+ * @param [in] batchNum     batch number
+ * @param [in] batchSize    batch size
+ * @param [in] queName      cdq name
+ * @return RT_ERROR_NONE for ok, ACL_ERROR_RT_NO_CDQ_RESOURCE for no cdq resources
+ */
+RTS_API rtError_t rtCdqCreate(uint32_t batchNum, uint32_t batchSize, const char *queName);
+
+/**
+ * @ingroup rt_stars
+ * @brief destroy cdq instance.
+ * @param [in] queName      cdq name
+ * @return RT_ERROR_NONE for ok, others failed
+ */
+RTS_API rtError_t rtCdqDestroy(const char *queName);
+
+/**
+ * @ingroup rt_stars
+ * @brief get free batch in the queue.
+ * @param [in] queName      cdq name
+ * @param [in] timeout      batch size
+ * @param [out] batchId     batch index
+ * @return RT_ERROR_NONE for ok, ACL_ERROR_RT_WAIT_TIMEOUT for timeout
+ */
+RTS_API rtError_t rtCdqAllocBatch(const char *queName, int32_t timeout, uint32_t *batchId);
+
+/**
+ * @ingroup rt_stars
+ * @brief launch a write_cdqm task on the stream.
+ * When the task is executed, the data information will be inserted into the cdqe index position of the queue.
+ * @param [in] queName      cdq name
+ * @param [in] cdqeIndex    cdqe index
+ * @param [in] data         cdqe infomation
+ * @param [in] dataSize     data size
+ * @param [in] stream       launch task on the stream
+ * @return RT_ERROR_NONE for ok, others failed
+ */
+RTS_API rtError_t rtCdqEnQueue(const char *queName, uint32_t cdqeIndex, void *data, uint32_t dataSize,
+    rtStream_t stream);
+
+/**
+ * @ingroup rt_stars
+ * @brief launch a write_cdqm task on the stream.
+ * When the task is executed, the data information will be inserted into the cdqe index position of the queue.
+ * @param [in] queName      cdq name
+ * @param [in] cdqeIndex    cdqe index
+ * @param [in] data         cdqe infomation
+ * @param [in] dataSize     data size
+ * @param [in] stream       launch task on the stream
+ * @return RT_ERROR_NONE for ok, others failed
+ */
+RTS_API rtError_t rtCdqEnQueuePtrMode(const char *queName, uint32_t cdqeIndex, const void *prtAddr,
+    rtStream_t stream);
+
 #if defined(__cplusplus) && !defined(COMPILE_OMG_PACKAGE)
 }
 #endif

third_party/fwkacllib/inc/toolchain/prof_callback.h

@@ -108,7 +108,18 @@ enum MsprofCtrlCallbackType {
     MSPROF_CTRL_INIT_ACL_ENV = 0,           // start profiling with acl env
     MSPROF_CTRL_INIT_ACL_JSON,              // start profiling with acl.json
     MSPROF_CTRL_INIT_GE_OPTIONS,            // start profiling with ge env and options
-    MSPROF_CTRL_FINALIZE                    // stop profiling
+    MSPROF_CTRL_FINALIZE,                   // stop profiling
+    MSPROF_CTRL_REPORT_FUN_P,               // for report callback
+    MSPROF_CTRL_PROF_SWITCH                 // for prof switch
+};
+
+#define MSPROF_MAX_DEV_NUM (64)
+
+struct MsprofCommandHandle {
+    uint64_t profSwitch;
+    uint32_t devNums; // length of device id list
+    uint32_t devIdList[MSPROF_MAX_DEV_NUM];
+    uint32_t modelId;
 };
 
 /**
@@ -129,6 +140,23 @@ typedef int32_t (*MsprofCtrlCallback)(uint32_t type, void *data, uint32_t len);
  */
 typedef void (*MsprofSetDeviceCallback)(uint32_t devId, bool isOpenDevice);
 
+/*
+ * @name  MsprofInit
+ * @brief Profiling module init
+ * @param [in] dataType: profiling type: ACL Env/ACL Json/GE Option
+ * @param [in] data: profiling switch data
+ * @param [in] dataLen: Length of data
+ * @return 0:SUCCESS, >0:FAILED
+ */
+int32_t MsprofInit(uint32_t dataType, void *data, uint32_t dataLen);
+
+/*
+ * @name AscendCL
+ * @brief Finishing Profiling
+ * @param NULL
+ * @return 0:SUCCESS, >0:FAILED
+ */
+int32_t MsprofFinalize();
 #ifdef __cplusplus
 }
 #endif