sync code 0116

CMakeLists.txt

@@ -84,9 +84,9 @@ if (ENABLE_OPEN_SRC)
     elseif(ENABLE_GE_COV OR ENABLE_GE_UT)
 	add_subdirectory(tests)
     else()
-        find_module(slog libalog.so ${ASCEND_ATC_DIR})
-        find_module(static_mmpa libmmpa.a ${ASCEND_ATC_DIR})
-	find_module(error_manager liberror_manager.so ${ASCEND_ATC_DIR})
+        find_module(slog libslog.so ${ASCEND_ATC_DIR} ${ASCEND_DRIVER_COMMON_DIR})
+        find_module(static_mmpa libmmpa.a ${ASCEND_ATC_DIR} ${ASCEND_RUNTIME_DIR})
+        find_module(error_manager liberror_manager.so ${ASCEND_ATC_DIR} ${ASCEND_RUNTIME_DIR})
         if(PLATFORM STREQUAL "train")
             find_module(hccl libhccl.so ${ASCEND_RUNTIME_DIR})
             find_module(adump_server libadump_server.a ${ASCEND_RUNTIME_DIR})

cmake/external_libs/json.cmake

@@ -5,14 +5,10 @@ endif()
 include(ExternalProject)
 
 set(JSON_SRC_DIR ${CMAKE_BINARY_DIR}/opensrc/json/include)
-if (GE_PB_PKG)
-    set(REQ_URL "${GE_PB_PKG}/libs/ge_nlohmann_json/include.zip")
-    set(MD5 "0dc903888211db3a0f170304cd9f3a89")
-    set(JSON_INCLUDE_DIR ${JSON_SRC_DIR})
-#elseif (ENABLE_GITEE)
-#    set(REQ_URL "https://gitee.com/mirrors/JSON-for-Modern-CPP/repository/archive/v3.6.1.zip")
-#    set(MD5 "5bda78ce308e6cfcf614dcf1d5ff27a7")
-#set(JSON_INCLUDE_DIR "${JSON_SRC_DIR}/include")
+if (ENABLE_GITEE)
+    set(REQ_URL "https://gitee.com/mirrors/JSON-for-Modern-CPP/repository/archive/v3.6.1.zip")
+    set(MD5 "5bda78ce308e6cfcf614dcf1d5ff27a7")
+    set(JSON_INCLUDE_DIR "${JSON_SRC_DIR}/include")
 else()
     set(REQ_URL "https://github.com/nlohmann/json/releases/download/v3.6.1/include.zip")
     set(MD5 "0dc903888211db3a0f170304cd9f3a89")

inc/external/acl/acl_base.h

@@ -0,0 +1,570 @@
+/**
+ * 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.
+ */
+
+#ifndef INC_EXTERNAL_ACL_ACL_BASE_H_
+#define INC_EXTERNAL_ACL_ACL_BASE_H_
+
+#include <stdint.h>
+#include <stddef.h>
+#include "error_codes/rt_error_codes.h"
+#include "error_codes/ge_error_codes.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#if defined(_MSC_VER)
+#ifdef FUNC_VISIBILITY
+#define ACL_FUNC_VISIBILITY _declspec(dllexport)
+#else
+#define ACL_FUNC_VISIBILITY
+#endif
+#else
+#ifdef FUNC_VISIBILITY
+#define ACL_FUNC_VISIBILITY __attribute__((visibility("default")))
+#else
+#define ACL_FUNC_VISIBILITY
+#endif
+#endif
+
+#ifdef __GNUC__
+#define ACL_DEPRECATED __attribute__((deprecated))
+#define ACL_DEPRECATED_MESSAGE(message) __attribute__((deprecated(message)))
+#elif defined(_MSC_VER)
+#define ACL_DEPRECATED __declspec(deprecated)
+#define ACL_DEPRECATED_MESSAGE(message) __declspec(deprecated(message))
+#else
+#define ACL_DEPRECATED
+#define ACL_DEPRECATED_MESSAGE(message)
+#endif
+
+typedef void *aclrtStream;
+typedef void *aclrtEvent;
+typedef void *aclrtContext;
+typedef int aclError;
+typedef uint16_t aclFloat16;
+typedef struct aclDataBuffer aclDataBuffer;
+typedef struct aclTensorDesc aclTensorDesc;
+
+static const int ACL_ERROR_NONE = 0;
+static const int ACL_SUCCESS = 0;
+
+static const int ACL_ERROR_INVALID_PARAM = 100000;
+static const int ACL_ERROR_UNINITIALIZE = 100001;
+static const int ACL_ERROR_REPEAT_INITIALIZE = 100002;
+static const int ACL_ERROR_INVALID_FILE = 100003;
+static const int ACL_ERROR_WRITE_FILE = 100004;
+static const int ACL_ERROR_INVALID_FILE_SIZE = 100005;
+static const int ACL_ERROR_PARSE_FILE = 100006;
+static const int ACL_ERROR_FILE_MISSING_ATTR = 100007;
+static const int ACL_ERROR_FILE_ATTR_INVALID = 100008;
+static const int ACL_ERROR_INVALID_DUMP_CONFIG = 100009;
+static const int ACL_ERROR_INVALID_PROFILING_CONFIG = 100010;
+static const int ACL_ERROR_INVALID_MODEL_ID = 100011;
+static const int ACL_ERROR_DESERIALIZE_MODEL = 100012;
+static const int ACL_ERROR_PARSE_MODEL = 100013;
+static const int ACL_ERROR_READ_MODEL_FAILURE = 100014;
+static const int ACL_ERROR_MODEL_SIZE_INVALID = 100015;
+static const int ACL_ERROR_MODEL_MISSING_ATTR = 100016;
+static const int ACL_ERROR_MODEL_INPUT_NOT_MATCH = 100017;
+static const int ACL_ERROR_MODEL_OUTPUT_NOT_MATCH = 100018;
+static const int ACL_ERROR_MODEL_NOT_DYNAMIC = 100019;
+static const int ACL_ERROR_OP_TYPE_NOT_MATCH = 100020;
+static const int ACL_ERROR_OP_INPUT_NOT_MATCH = 100021;
+static const int ACL_ERROR_OP_OUTPUT_NOT_MATCH = 100022;
+static const int ACL_ERROR_OP_ATTR_NOT_MATCH = 100023;
+static const int ACL_ERROR_OP_NOT_FOUND = 100024;
+static const int ACL_ERROR_OP_LOAD_FAILED = 100025;
+static const int ACL_ERROR_UNSUPPORTED_DATA_TYPE = 100026;
+static const int ACL_ERROR_FORMAT_NOT_MATCH = 100027;
+static const int ACL_ERROR_BIN_SELECTOR_NOT_REGISTERED = 100028;
+static const int ACL_ERROR_KERNEL_NOT_FOUND = 100029;
+static const int ACL_ERROR_BIN_SELECTOR_ALREADY_REGISTERED = 100030;
+static const int ACL_ERROR_KERNEL_ALREADY_REGISTERED = 100031;
+static const int ACL_ERROR_INVALID_QUEUE_ID = 100032;
+static const int ACL_ERROR_REPEAT_SUBSCRIBE = 100033;
+static const int ACL_ERROR_STREAM_NOT_SUBSCRIBE = 100034;
+static const int ACL_ERROR_THREAD_NOT_SUBSCRIBE = 100035;
+static const int ACL_ERROR_WAIT_CALLBACK_TIMEOUT = 100036;
+static const int ACL_ERROR_REPEAT_FINALIZE = 100037;
+static const int ACL_ERROR_NOT_STATIC_AIPP = 100038;
+static const int ACL_ERROR_COMPILING_STUB_MODE = 100039;
+static const int ACL_ERROR_GROUP_NOT_SET = 100040;
+static const int ACL_ERROR_GROUP_NOT_CREATE = 100041;
+static const int ACL_ERROR_PROF_ALREADY_RUN = 100042;
+static const int ACL_ERROR_PROF_NOT_RUN = 100043;
+static const int ACL_ERROR_DUMP_ALREADY_RUN = 100044;
+static const int ACL_ERROR_DUMP_NOT_RUN = 100045;
+static const int ACL_ERROR_PROF_REPEAT_SUBSCRIBE = 148046;
+static const int ACL_ERROR_PROF_API_CONFLICT = 148047;
+static const int ACL_ERROR_INVALID_MAX_OPQUEUE_NUM_CONFIG = 148048;
+
+static const int ACL_ERROR_BAD_ALLOC = 200000;
+static const int ACL_ERROR_API_NOT_SUPPORT = 200001;
+static const int ACL_ERROR_INVALID_DEVICE = 200002;
+static const int ACL_ERROR_MEMORY_ADDRESS_UNALIGNED = 200003;
+static const int ACL_ERROR_RESOURCE_NOT_MATCH = 200004;
+static const int ACL_ERROR_INVALID_RESOURCE_HANDLE = 200005;
+static const int ACL_ERROR_FEATURE_UNSUPPORTED = 200006;
+static const int ACL_ERROR_PROF_MODULES_UNSUPPORTED = 200007;
+
+static const int ACL_ERROR_STORAGE_OVER_LIMIT = 300000;
+
+static const int ACL_ERROR_INTERNAL_ERROR = 500000;
+static const int ACL_ERROR_FAILURE = 500001;
+static const int ACL_ERROR_GE_FAILURE = 500002;
+static const int ACL_ERROR_RT_FAILURE = 500003;
+static const int ACL_ERROR_DRV_FAILURE = 500004;
+static const int ACL_ERROR_PROFILING_FAILURE = 500005;
+
+#define ACL_TENSOR_SHAPE_RANGE_NUM 2
+#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,
+} 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_FRACTAL_NZ = 29,
+} aclFormat;
+
+typedef enum {
+  ACL_DEBUG = 0,
+  ACL_INFO = 1,
+  ACL_WARNING = 2,
+  ACL_ERROR = 3,
+} aclLogLevel;
+
+/**
+ * @ingroup AscendCL
+ * @brief Converts data of type aclFloat16 to data of type float
+ *
+ * @param value [IN]   Data to be converted
+ *
+ * @retval Transformed data
+ */
+ACL_FUNC_VISIBILITY float aclFloat16ToFloat(aclFloat16 value);
+
+/**
+ * @ingroup AscendCL
+ * @brief Converts data of type float to data of type aclFloat16
+ *
+ * @param value [IN]   Data to be converted
+ *
+ * @retval Transformed data
+ */
+ACL_FUNC_VISIBILITY aclFloat16 aclFloatToFloat16(float value);
+
+/**
+ * @ingroup AscendCL
+ * @brief create data of aclDataBuffer
+ *
+ * @param data [IN]    pointer to data
+ * @li Need to be managed by the user,
+ *  call aclrtMalloc interface to apply for memory,
+ *  call aclrtFree interface to release memory
+ *
+ * @param size [IN]    size of data in bytes
+ *
+ * @retval pointer to created instance. nullptr if run out of memory
+ *
+ * @see aclrtMalloc | aclrtFree
+ */
+ACL_FUNC_VISIBILITY aclDataBuffer *aclCreateDataBuffer(void *data, size_t size);
+
+/**
+ * @ingroup AscendCL
+ * @brief destroy data of aclDataBuffer
+ *
+ * @par Function
+ *  Only the aclDataBuffer type data is destroyed here.
+ *  The memory of the data passed in when the aclDataDataBuffer interface
+ *  is called to create aclDataBuffer type data must be released by the user
+ *
+ * @param  dataBuffer [IN]   pointer to the aclDataBuffer
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclCreateDataBuffer
+ */
+ACL_FUNC_VISIBILITY aclError aclDestroyDataBuffer(const aclDataBuffer *dataBuffer);
+
+/**
+ * @ingroup AscendCL
+ * @brief get data address from aclDataBuffer
+ *
+ * @param dataBuffer [IN]    pointer to the data of aclDataBuffer
+ *
+ * @retval data address
+ */
+ACL_FUNC_VISIBILITY void *aclGetDataBufferAddr(const aclDataBuffer *dataBuffer);
+
+/**
+ * @ingroup AscendCL
+ * @brief get data size of aclDataBuffer
+ *
+ * @param  dataBuffer [IN]    pointer to the data of aclDataBuffer
+ *
+ * @retval data size
+ */
+ACL_DEPRECATED_MESSAGE("aclGetDataBufferSize is deprecated, use aclGetDataBufferSizeV2 instead")
+ACL_FUNC_VISIBILITY uint32_t aclGetDataBufferSize(const aclDataBuffer *dataBuffer);
+
+/**
+ * @ingroup AscendCL
+ * @brief get data size of aclDataBuffer to replace aclGetDataBufferSize
+ *
+ * @param  dataBuffer [IN]    pointer to the data of aclDataBuffer
+ *
+ * @retval data size
+ */
+ACL_FUNC_VISIBILITY size_t aclGetDataBufferSizeV2(const aclDataBuffer *dataBuffer);
+
+/**
+ * @ingroup AscendCL
+ * @brief get size of aclDataType
+ *
+ * @param  dataType [IN]    aclDataType data the size to get
+ *
+ * @retval size of the aclDataType
+ */
+ACL_FUNC_VISIBILITY size_t aclDataTypeSize(aclDataType dataType);
+
+// interfaces of tensor desc
+/**
+ * @ingroup AscendCL
+ * @brief create data aclTensorDesc
+ *
+ * @param  dataType [IN]    Data types described by tensor
+ * @param  numDims [IN]     the number of dimensions of the shape
+ * @param  dims [IN]        the size of the specified dimension
+ * @param  format [IN]      tensor format
+ *
+ * @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,
+                                                       aclFormat format);
+
+/**
+ * @ingroup AscendCL
+ * @brief destroy data aclTensorDesc
+ *
+ * @param desc [IN]     pointer to the data of aclTensorDesc to destroy
+ */
+ACL_FUNC_VISIBILITY void aclDestroyTensorDesc(const aclTensorDesc *desc);
+
+/**
+ * @ingroup AscendCL
+ * @brief set tensor shape range for aclTensorDesc
+ *
+ * @param  desc [OUT]     pointer to the data of aclTensorDesc
+ * @param  dimsCount [IN]     the number of dimensions of the shape
+ * @param  dimsRange [IN]     the range of dimensions of the shape
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclSetTensorShapeRange(aclTensorDesc *desc, size_t dimsCount,
+                                                    int64_t dimsRange[][ACL_TENSOR_SHAPE_RANGE_NUM]);
+
+/**
+ * @ingroup AscendCL
+ * @brief get data type specified by the tensor description
+ *
+ * @param desc [IN]        pointer to the instance of aclTensorDesc
+ *
+ * @retval data type specified by the tensor description.
+ * @retval ACL_DT_UNDEFINED if description is null
+ */
+ACL_FUNC_VISIBILITY aclDataType aclGetTensorDescType(const aclTensorDesc *desc);
+
+/**
+ * @ingroup AscendCL
+ * @brief get data format specified by the tensor description
+ *
+ * @param  desc [IN]        pointer to the instance of aclTensorDesc
+ *
+ * @retval data format specified by the tensor description.
+ * @retval ACL_FORMAT_UNDEFINED if description is null
+ */
+ACL_FUNC_VISIBILITY aclFormat aclGetTensorDescFormat(const aclTensorDesc *desc);
+
+/**
+ * @ingroup AscendCL
+ * @brief get tensor size specified by the tensor description
+ *
+ * @param  desc [IN]        pointer to the instance of aclTensorDesc
+ *
+ * @retval data size specified by the tensor description.
+ * @retval 0 if description is null
+ */
+ACL_FUNC_VISIBILITY size_t aclGetTensorDescSize(const aclTensorDesc *desc);
+
+/**
+ * @ingroup AscendCL
+ * @brief get element count specified by the tensor description
+ *
+ * @param  desc [IN]        pointer to the instance of aclTensorDesc
+ *
+ * @retval element count specified by the tensor description.
+ * @retval 0 if description is null
+ */
+ACL_FUNC_VISIBILITY size_t aclGetTensorDescElementCount(const aclTensorDesc *desc);
+
+/**
+ * @ingroup AscendCL
+ * @brief get number of dims specified by the tensor description
+ *
+ * @param  desc [IN]        pointer to the instance of aclTensorDesc
+ *
+ * @retval number of dims specified by the tensor description.
+ * @retval 0 if description is null
+ * @retval ACL_UNKNOWN_RANK if the tensor dim is -2
+ */
+ACL_FUNC_VISIBILITY size_t aclGetTensorDescNumDims(const aclTensorDesc *desc);
+
+/**
+ * @ingroup AscendCL
+ * @brief Get the size of the specified dim in the tensor description
+ *
+ * @param  desc [IN]        pointer to the instance of aclTensorDesc
+ * @param  index [IN]       index of dims, start from 0.
+ *
+ * @retval dim specified by the tensor description and index.
+ * @retval -1 if description or index is invalid
+ */
+ACL_DEPRECATED_MESSAGE("aclGetTensorDescDim is deprecated, use aclGetTensorDescDimV2 instead")
+ACL_FUNC_VISIBILITY int64_t aclGetTensorDescDim(const aclTensorDesc *desc, size_t index);
+
+/**
+ * @ingroup AscendCL
+ * @brief Get the size of the specified dim in the tensor description
+ *
+ * @param  desc [IN]        pointer to the instance of aclTensorDesc
+ * @param  index [IN]       index of dims, start from 0.
+ * @param  dimSize [OUT]    size of the specified dim.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclGetTensorDescDimV2(const aclTensorDesc *desc, size_t index, int64_t *dimSize);
+
+/**
+ * @ingroup AscendCL
+ * @brief Get the range of the specified dim in the tensor description
+ *
+ * @param  desc [IN]        pointer to the instance of aclTensorDesc
+ * @param  index [IN]       index of dims, start from 0.
+ * @param  dimRangeNum [IN]     number of dimRange.
+ * @param  dimRange [OUT]       range of the specified dim.
+ *
+ * @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,
+                                                      int64_t *dimRange);
+
+/**
+ * @ingroup AscendCL
+ * @brief set tensor description name
+ *
+ * @param desc [OUT]       pointer to the instance of aclTensorDesc
+ * @param name [IN]        tensor description name
+ */
+ACL_FUNC_VISIBILITY void aclSetTensorDescName(aclTensorDesc *desc, const char *name);
+
+/**
+ * @ingroup AscendCL
+ * @brief get tensor description name
+ *
+ * @param  desc [IN]        pointer to the instance of aclTensorDesc
+ *
+ * @retval tensor description name.
+ * @retval empty string if description is null
+ */
+ACL_FUNC_VISIBILITY const char *aclGetTensorDescName(aclTensorDesc *desc);
+
+/**
+ * @ingroup AscendCL
+ * @brief Convert the format in the source aclTensorDesc according to
+ * the specified dstFormat to generate a new target aclTensorDesc.
+ * The format in the source aclTensorDesc remains unchanged.
+ *
+ * @param  srcDesc [IN]     pointer to the source tensor desc
+ * @param  dstFormat [IN]   destination format
+ * @param  dstDesc [OUT]    pointer to the pointer to the destination tensor desc
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclTransTensorDescFormat(const aclTensorDesc *srcDesc, aclFormat dstFormat,
+                                                      aclTensorDesc **dstDesc);
+
+/**
+ * @ingroup AscendCL
+ * @brief Set the storage format specified by the tensor description
+ *
+ * @param  desc [OUT]     pointer to the instance of aclTensorDesc
+ * @param  format [IN]    the storage format
+ *
+ * @retval ACL_SUCCESS    The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_DEPRECATED_MESSAGE("aclSetTensorStorageFormat is deprecated, use aclSetTensorFormat instead")
+ACL_FUNC_VISIBILITY aclError aclSetTensorStorageFormat(aclTensorDesc *desc, aclFormat format);
+
+/**
+ * @ingroup AscendCL
+ * @brief Set the storage shape specified by the tensor description
+ *
+ * @param  desc [OUT]      pointer to the instance of aclTensorDesc
+ * @param  numDims [IN]    the number of dimensions of the shape
+ * @param  dims [IN]       the size of the specified dimension
+ *
+ * @retval ACL_SUCCESS     The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_DEPRECATED_MESSAGE("aclSetTensorStorageShape is deprecated, use aclSetTensorShape instead")
+ACL_FUNC_VISIBILITY aclError aclSetTensorStorageShape(aclTensorDesc *desc, int numDims, const int64_t *dims);
+
+/**
+ * @ingroup AscendCL
+ * @brief Set the format specified by the tensor description
+ *
+ * @param  desc [OUT]     pointer to the instance of aclTensorDesc
+ * @param  format [IN]    the storage format
+ *
+ * @retval ACL_SUCCESS    The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclSetTensorFormat(aclTensorDesc *desc, aclFormat format);
+
+/**
+ * @ingroup AscendCL
+ * @brief Set the shape specified by the tensor description
+ *
+ * @param  desc [OUT]      pointer to the instance of aclTensorDesc
+ * @param  numDims [IN]    the number of dimensions of the shape
+ * @param  dims [IN]       the size of the specified dimension
+ *
+ * @retval ACL_SUCCESS     The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclSetTensorShape(aclTensorDesc *desc, int numDims, const int64_t *dims);
+
+/**
+ * @ingroup AscendCL
+ * @brief Set the original format specified by the tensor description
+ *
+ * @param  desc [OUT]     pointer to the instance of aclTensorDesc
+ * @param  format [IN]    the storage format
+ *
+ * @retval ACL_SUCCESS    The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclSetTensorOriginFormat(aclTensorDesc *desc, aclFormat format);
+
+/**
+ * @ingroup AscendCL
+ * @brief Set the original shape specified by the tensor description
+ *
+ * @param  desc [OUT]      pointer to the instance of aclTensorDesc
+ * @param  numDims [IN]    the number of dimensions of the shape
+ * @param  dims [IN]       the size of the specified dimension
+ *
+ * @retval ACL_SUCCESS     The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclSetTensorOriginShape(aclTensorDesc *desc, int numDims, const int64_t *dims);
+
+/**
+ * @ingroup AscendCL
+ * @brief get op description info
+ *
+ * @param desc [IN]     pointer to tensor description
+ * @param index [IN]    index of tensor
+ *
+ * @retval null for failed.
+ * @retval OtherValues success.
+ */
+ACL_FUNC_VISIBILITY aclTensorDesc *aclGetTensorDescByIndex(aclTensorDesc *desc, size_t index);
+
+/**
+ * @ingroup AscendCL
+ * @brief get address of tensor
+ *
+ * @param desc [IN]    pointer to tensor description
+ *
+ * @retval null for failed
+ * @retval OtherValues success
+ */
+ACL_FUNC_VISIBILITY void *aclGetTensorDescAddress(const aclTensorDesc *desc);
+
+/**
+ * @ingroup AscendCL
+ * @brief Set the dynamic input name specified by the tensor description
+ *
+ * @param  desc [OUT]      pointer to the instance of aclTensorDesc
+ * @param  dynamicInputName [IN]       pointer to the dynamic input name
+ *
+ * @retval ACL_SUCCESS     The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclSetTensorDynamicInput(aclTensorDesc *desc, const char *dynamicInputName);
+
+/**
+ * @ingroup AscendCL
+ * @brief an interface for users to output  APP logs
+ *
+ * @param logLevel [IN]    the level of current log
+ * @param func [IN]        the function where the log is located
+ * @param file [IN]        the file where the log is located
+ * @param line [IN]        Number of source lines where the log is located
+ * @param fmt [IN]         the format of current log
+ * @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, ...);
+
+#define ACL_APP_LOG(level, fmt, ...) aclAppLog(level, __FUNCTION__, __FILE__, __LINE__, fmt, ##__VA_ARGS__)
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif  // INC_EXTERNAL_ACL_ACL_BASE_H_

inc/external/acl/acl_op.h

@@ -0,0 +1,504 @@
+/**
+ * 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.
+ */
+
+#ifndef INC_EXTERNAL_ACL_ACL_OP_H_
+#define INC_EXTERNAL_ACL_ACL_OP_H_
+
+#include "acl_base.h"
+#include "acl_rt.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+typedef struct aclopHandle aclopHandle;
+typedef struct aclopAttr aclopAttr;
+typedef struct aclopKernelDesc aclopKernelDesc;
+
+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,
+} aclopEngineType;
+
+/**
+ * @ingroup AscendCL
+ * @brief Set base directory that contains single op models
+ *
+ * @par Restriction
+ * The aclopSetModelDir interface can be called only once in a process.
+ * @param  modelDir [IN]   path of the directory
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetModelDir(const char *modelDir);
+
+/**
+ * @ingroup AscendCL
+ * @brief load single op models from memory
+ *
+ * @par Restriction
+ * The aclopLoad interface can be called more than one times in a process.
+ * @param model [IN]        address of single op models
+ * @param modelSize [IN]    size of single op models
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopLoad(const void *model, size_t modelSize);
+
+/**
+ * @ingroup AscendCL
+ * @brief create data of type aclopAttr
+ *
+ * @retval pointer to created instance.
+ * @retval nullptr if run out of memory
+ */
+ACL_FUNC_VISIBILITY aclopAttr *aclopCreateAttr();
+
+/**
+ * @ingroup AscendCL
+ * @brief destroy data of typ aclopAttr
+ *
+ * @param attr [IN]   pointer to the instance of aclopAttr
+ */
+ACL_FUNC_VISIBILITY void aclopDestroyAttr(const aclopAttr *attr);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is bool
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param attrValue [IN]   attribute value
+ *                         false if attrValue is 0, true otherwise.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetAttrBool(aclopAttr *attr, const char *attrName, uint8_t attrValue);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is int64_t
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param attrValue [IN]   attribute value
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetAttrInt(aclopAttr *attr, const char *attrName, int64_t attrValue);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is float
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param attrValue [IN]   attribute value
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetAttrFloat(aclopAttr *attr, const char *attrName, float attrValue);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is string
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param attrValue [IN]   attribute value
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetAttrString(aclopAttr *attr, const char *attrName, const char *attrValue);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is list of bools
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param numValues [IN]   number of values. false if attrValue is 0, true otherwise.
+ * @param values [IN]      pointer to values
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetAttrListBool(aclopAttr *attr, const char *attrName, int numValues,
+                                                  const uint8_t *values);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is list of ints
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param numValues [IN]   number of values
+ * @param values [IN]      pointer to values
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetAttrListInt(aclopAttr *attr, const char *attrName, int numValues,
+                                                 const int64_t *values);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is list of floats
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param numValues [IN]   number of values
+ * @param values [IN]      pointer to values
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetAttrListFloat(aclopAttr *attr, const char *attrName, int numValues,
+                                                   const float *values);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is list of strings
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param numValues [IN]   number of values
+ * @param values [IN]      pointer to values
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetAttrListString(aclopAttr *attr, const char *attrName, int numValues,
+                                                    const char **values);
+
+/**
+ * @ingroup AscendCL
+ * @brief set an attribute. the type of the attribute is list of list of ints
+ *
+ * @param attr [OUT]       pointer to the instance of aclopAttr
+ * @param attrName [IN]    attribute name
+ * @param numLists [IN]    number of lists
+ * @param numValues [IN]   pointer to number of values of each list
+ * @param values [IN]      pointer to values
+ *
+ * @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[]);
+
+/**
+ * @ingroup AscendCL
+ * @brief Load and execute the specified operator asynchronously
+ *
+ * @par Restriction
+ * @li The input and output organization of each operator is different,
+ * and the application needs to organize the operator strictly
+ * according to the operator input and output parameters when calling.
+ * @li When the user calls aclopExecute,
+ * the ACL finds the corresponding task according to the optype,
+ * the description of the input tesnsor,
+ * the description of the output tesnsor, and attr, and issues the execution.
+ *
+ * @param opType [IN]      type of op
+ * @param numInputs [IN]   number of inputs
+ * @param inputDesc [IN]   pointer to array of input tensor descriptions
+ * @param inputs [IN]      pointer to array of input buffers
+ * @param numOutputs [IN]  number of outputs
+ * @param outputDesc [IN]  pointer to array of output tensor descriptions
+ * @param outputs [OUT]    pointer to array of output buffers
+ * @param attr [IN]        pointer to instance of aclopAttr.
+ *                         may pass nullptr if the op has no attribute
+ * @param stream [IN]      stream
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief Load and execute the specified operator
+ *        The difference with aclopExecute is that aclopExecuteV2 will refresh outputDesc
+ *
+ * @par Restriction
+ * @li The input and output organization of each operator is different,
+ * and the application needs to organize the operator strictly
+ * according to the operator input and output parameters when calling.
+ * @li When the user calls aclopExecuteV2,
+ * the ACL finds the corresponding task according to the optype,
+ * the description of the input tesnsor,
+ * the description of the output tesnsor, and attr, and issues the execution.
+ *
+ * @param opType [IN]      type of op
+ * @param numInputs [IN]   number of inputs
+ * @param inputDesc [IN]   pointer to array of input tensor descriptions
+ * @param inputs [IN]      pointer to array of input buffers
+ * @param numOutputs [IN]  number of outputs
+ * @param outputDesc [IN|OUT]  pointer to array of output tensor descriptions
+ * @param outputs [OUT]    pointer to array of output buffers
+ * @param attr [IN]        pointer to instance of aclopAttr.
+ *                         may pass nullptr if the op has no attribute
+ * @param stream [IN]      stream
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief create a instance of aclopHandle.
+ *
+ * @param opType [IN]      type of op
+ * @param numInputs [IN]   number of inputs
+ * @param inputDesc [IN]   pointer to array of input tensor descriptions
+ * @param numOutputs [IN]  number of outputs
+ * @param outputDesc [IN]  pointer to array of output tensor descriptions
+ * @param opAttr [IN]      pointer to instance of aclopAttr.
+ *                         may pass nullptr if the op has no attribute
+ * @param handle [OUT]     pointer to the pointer to the handle
+ *
+ * @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,
+                                               aclopHandle **handle);
+
+/**
+ * @ingroup AscendCL
+ * @brief destroy aclopHandle instance
+ *
+ * @param handle [IN]   pointer to the instance of aclopHandle
+ */
+ACL_FUNC_VISIBILITY void aclopDestroyHandle(aclopHandle *handle);
+
+/**
+ * @ingroup AscendCL
+ * @brief execute an op with the handle.
+ *        can save op model matching cost compared with aclopExecute
+ *
+ * @param handle [IN]      pointer to the instance of aclopHandle.
+ *                         The aclopCreateHandle interface has been called
+ *                         in advance to create aclopHandle type data.
+ * @param numInputs [IN]   number of inputs
+ * @param inputs [IN]      pointer to array of input buffers.
+ *                         The aclCreateDataBuffer interface has been called
+ *                         in advance to create aclDataBuffer type data.
+ * @param numOutputs [IN]  number of outputs
+ * @param outputs [OUT]    pointer to array of output buffers
+ * @param stream [IN]      stream
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclopCreateHandle | aclCreateDataBuffer
+ */
+ACL_FUNC_VISIBILITY aclError aclopExecWithHandle(aclopHandle *handle, int numInputs,
+                                                 const aclDataBuffer *const inputs[], int numOutputs,
+                                                 aclDataBuffer *const outputs[], aclrtStream stream);
+
+/**
+ * @ingroup AscendCL
+ * @brief cast data type
+ *
+ * @param srcDesc [IN]     source tensor desc
+ * @param srcBuffer [IN]   source tensor buffer
+ * @param dstDesc [IN]     destination tensor desc
+ * @param dstBuffer [OUT]  destination tensor buffer
+ * @param truncate [IN]    do not truncate if value is 0, truncate otherwise
+ * @param stream [IN]      stream
+ *
+ * @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,
+                                       aclrtStream stream);
+
+/**
+ * @ingroup AscendCL
+ * @brief create a handle for casting datatype
+ *
+ * @param srcDesc [IN]    source tensor desc
+ * @param dstDesc [IN]    destination tensor desc
+ * @param truncate [IN]   do not truncate if value is 0, truncate otherwise
+ * @param handle [OUT]    pointer to the pointer to the handle
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopCreateHandleForCast(aclTensorDesc *srcDesc, aclTensorDesc *dstDesc, uint8_t truncate,
+                                                      aclopHandle **handle);
+
+/**
+ * @ingroup AscendCL
+ * @brief create kernel
+ *
+ * @param opType [IN]           op type
+ * @param kernelId [IN]         kernel id
+ * @param kernelName [IN]       kernel name
+ * @param binData [IN]          kernel bin data
+ * @param binSize [IN]          kernel bin size
+ * @param enginetype [IN]       enigne type
+ * @param deallocator [IN]      callback function for deallocating bin data,
+ *                              null if bin data to be deallocated by caller
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclopCompile
+ */
+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
+ *
+ * @param numInputs [IN]            number of inputs
+ * @param inputDesc [IN]            pointer to array of input tensor descriptions
+ * @param numOutputs [IN]           number of outputs
+ * @param outputDesc [IN]           pointer to array of output tensor descriptions
+ * @param opAttr [IN]               pointer to instance of aclopAttr
+ * @param aclopKernelDesc [IN]      pointer to instance of aclopKernelDesc
+ *
+ * @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,
+                                     aclopKernelDesc *aclopKernelDesc);
+
+/**
+ * @ingroup AscendCL
+ * @brief register compile function
+ *
+ * @param opType [IN]         op type
+ * @param func [IN]           compile function
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclopUnregisterCompileFunc
+ */
+ACL_FUNC_VISIBILITY aclError aclopRegisterCompileFunc(const char *opType, aclopCompileFunc func);
+
+/**
+ * @ingroup AscendCL
+ * @brief unregister compile function
+ *
+ * @param opType [IN]         op type
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopUnregisterCompileFunc(const char *opType);
+
+/**
+ * @ingroup AscendCL
+ * @brief set kernel args
+ *
+ * @param kernelDesc [IN]               pointer to instance of aclopKernelDesc
+ * @param kernelId [IN]                 kernel id
+ * @param blockDim [IN]                 block dim
+ * @param args [IN]                     args
+ * @param argSize [IN]                  size in bytes of args
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief set workspace sizes
+ *
+ * @param kernelDesc [IN]               pointer to instance of aclopKernelDesc
+ * @param numWorkspaces [IN]            number of workspaces
+ * @param workspaceSizes [IN]           pointer to array of sizes of workspaces
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclopSetKernelWorkspaceSizes(aclopKernelDesc *kernelDesc, int numWorkspaces,
+                                                          size_t *workspaceSizes);
+
+/**
+ * @ingroup AscendCL
+ * @brief compile op with dynamic shape
+ *
+ * @param opType [IN]       op type
+ * @param numInputs [IN]    number of inputs
+ * @param inputDesc [IN]    pointer to array of input tensor descriptions
+ * @param numOutputs [IN]   number of outputs
+ * @param outputDesc [IN]   pointer to array of output tensor descriptions
+ * @param attr [IN]         pointer to instance of aclopAttr.
+ *                          may pass nullptr if the op has no attribute
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief inferShape the specified operator synchronously
+ *
+ * @param opType [IN]       type of op
+ * @param numInputs [IN]    number of inputs
+ * @param inputDesc [IN]    pointer to array of input tensor descriptions
+ * @param inputs [IN]       pointer to array of input buffers
+ * @param numOutputs [IN]   number of outputs
+ * @param outputDesc [OUT]  pointer to array of output tensor descriptions
+ * @param attr [IN]         pointer to instance of aclopAttr.
+ *                          may pass nullptr if the op has no attribute
+ *
+ * @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[],
+                                             aclopAttr *attr);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif  // INC_EXTERNAL_ACL_ACL_OP_H_

inc/external/acl/acl_op_compiler.h

@@ -0,0 +1,106 @@
+/**
+ * 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.
+ */
+
+#ifndef INC_EXTERNAL_ACL_ACL_OP_COMPILER_H_
+#define INC_EXTERNAL_ACL_ACL_OP_COMPILER_H_
+
+#include "acl_base.h"
+#include "acl_op.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+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
+} aclCompileOpt;
+
+/**
+ * @ingroup AscendCL
+ * @brief compile op
+ *
+ * @param opType [IN]           op type
+ * @param numInputs [IN]        number of inputs
+ * @param inputDesc [IN]        pointer to array of input tensor descriptions
+ * @param numOutputs [IN]       number of outputs
+ * @param outputDesc [IN]       pointer to array of output tensor descriptions
+ * @param attr [IN]           pointer to instance of aclopAttr.
+ *                              may pass nullptr if the op has no attribute
+ * @param engineType [IN]       engine type
+ * @param compileFlag [IN]      compile flag
+ * @param opPath [IN]           path of op
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief compile and execute op
+ *
+ * @param opType [IN]           op type
+ * @param numInputs [IN]        number of inputs
+ * @param inputDesc [IN]        pointer to array of input tensor descriptions
+ * @param inputs [IN]           pointer to array of input buffers
+ * @param numOutputs [IN]       number of outputs
+ * @param outputDesc [IN]       pointer to array of output tensor descriptions
+ * @param outputs [IN]          pointer to array of outputs buffers
+ * @param attr [IN]             pointer to instance of aclopAttr.
+ *                              may pass nullptr if the op has no attribute
+ * @param engineType [IN]       engine type
+ * @param compileFlag [IN]      compile flag
+ * @param opPath [IN]           path of op
+ * @param stream [IN]           stream handle
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief set compile option
+ *
+ * @param aclCompileOpt [IN]      compile option
+ * @param value [IN]              pointer for the option value
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclSetCompileopt(aclCompileOpt opt, const char *value);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif  // INC_EXTERNAL_ACL_ACL_OP_COMPILER_H_

inc/external/acl/error_codes/ge_error_codes.h

@@ -0,0 +1,55 @@
+/**
+ * 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.
+ */
+
+#ifndef INC_EXTERNAL_GE_GE_ERROR_CODES_H_
+#define INC_EXTERNAL_GE_GE_ERROR_CODES_H_
+
+#include <stddef.h>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+static const uint32_t ACL_ERROR_GE_PARAM_INVALID = 145000;
+static const uint32_t ACL_ERROR_GE_EXEC_NOT_INIT = 145001;
+static const uint32_t ACL_ERROR_GE_EXEC_MODEL_PATH_INVALID = 145002;
+static const uint32_t ACL_ERROR_GE_EXEC_MODEL_ID_INVALID = 145003;
+static const uint32_t ACL_ERROR_GE_EXEC_MODEL_DATA_SIZE_INVALID = 145006;
+static const uint32_t ACL_ERROR_GE_EXEC_MODEL_ADDR_INVALID = 145007;
+static const uint32_t ACL_ERROR_GE_EXEC_MODEL_QUEUE_ID_INVALID = 145008;
+static const uint32_t ACL_ERROR_GE_EXEC_LOAD_MODEL_REPEATED = 145009;
+static const uint32_t ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID = 145011;
+static const uint32_t ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID = 145012;
+static const uint32_t ACL_ERROR_GE_DYNAMIC_BATCH_SIZE_INVALID = 145013;
+static const uint32_t ACL_ERROR_GE_AIPP_BATCH_EMPTY = 145014;
+static const uint32_t ACL_ERROR_GE_AIPP_NOT_EXIST = 145015;
+static const uint32_t ACL_ERROR_GE_AIPP_MODE_INVALID = 145016;
+static const uint32_t ACL_ERROR_GE_OP_TASK_TYPE_INVALID = 145017;
+static const uint32_t ACL_ERROR_GE_OP_KERNEL_TYPE_INVALID = 145018;
+static const uint32_t ACL_ERROR_GE_MEMORY_ALLOCATION = 245000;
+static const uint32_t ACL_ERROR_GE_INTERNAL_ERROR = 545000;
+static const uint32_t ACL_ERROR_GE_LOAD_MODEL = 545001;
+static const uint32_t ACL_ERROR_GE_EXEC_LOAD_MODEL_PARTITION_FAILED = 545002;
+static const uint32_t ACL_ERROR_GE_EXEC_LOAD_WEIGHT_PARTITION_FAILED = 545003;
+static const uint32_t ACL_ERROR_GE_EXEC_LOAD_TASK_PARTITION_FAILED = 545004;
+static const uint32_t ACL_ERROR_GE_EXEC_LOAD_KERNEL_PARTITION_FAILED = 545005;
+static const uint32_t ACL_ERROR_GE_EXEC_RELEASE_MODEL_DATA = 545006;
+static const uint32_t ACL_ERROR_GE_COMMAND_HANDLE = 545007;
+static const uint32_t ACL_ERROR_GE_GET_TENSOR_INFO = 545008;
+static const uint32_t ACL_ERROR_GE_UNLOAD_MODEL = 545009;
+#ifdef __cplusplus
+}  // namespace ge
+#endif
+#endif  // INC_EXTERNAL_GE_GE_ERROR_CODES_H_

inc/external/acl/error_codes/rt_error_codes.h

@@ -0,0 +1,91 @@
+/**
+ * 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.
+ */
+
+#ifndef __INC_EXTERNEL_RT_ERROR_CODES_H__
+#define __INC_EXTERNEL_RT_ERROR_CODES_H__
+
+#include <stddef.h>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+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_FEATURE_NOT_SUPPROT = 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_INTERNEL_ERROR = 507000;          // runtime internel 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_DRV_INTERNEL_ERROR = 507899;  // drv internel error
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif  // __INC_EXTERNEL_RT_ERROR_CODES_H__

inc/external/acl/ops/acl_cblas.h

@@ -0,0 +1,334 @@
+/**
+ * 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.
+ */
+
+#ifndef INC_EXTERNAL_ACL_OPS_ACL_CBLAS_H_
+#define INC_EXTERNAL_ACL_OPS_ACL_CBLAS_H_
+
+#include "acl/acl.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+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;
+
+/**
+ * @ingroup AscendCL
+ * @brief perform the matrix-vector multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param m [IN]           number of rows of matrix A
+ * @param n [IN]           number of columns of matrix A
+ * @param alpha [IN]       pointer to scalar used for multiplication.
+ *                         of same type as dataTypeC
+ * @param a [IN]           pointer to matrix A
+ * @param lda [IN]         leading dimension used to store the matrix A
+ * @param dataTypeA [IN]   datatype of matrix A
+ * @param x [IN]           pointer to vector x
+ * @param incx [IN]        stride between consecutive elements of vector x
+ * @param dataTypeX [IN]   datatype of vector x
+ * @param beta [IN]        pointer to scalar used for multiplication.
+ *                         of same type as dataTypeC If beta == 0,
+ *                         then y does not have to be a valid input
+ * @param y [IN|OUT]       pointer to vector y
+ * @param incy [IN]        stride between consecutive elements of vector y
+ * @param dataTypeY [IN]   datatype of vector y
+ * @param type [IN]        computation type
+ * @param stream [IN]      stream
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief create a handle for performing the matrix-vector multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param m [IN]           number of rows of matrix A
+ * @param n [IN]           number of columns of matrix A
+ * @param dataTypeA [IN]   datatype of matrix A
+ * @param dataTypeX [IN]   datatype of vector x
+ * @param dataTypeY [IN]   datatype of vector y
+ * @param type [IN]        computation type
+ * @param handle [OUT]     pointer to the pointer to the handle
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief perform the matrix-vector multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param m [IN]           number of rows of matrix A
+ * @param n [IN]           number of columns of matrix A
+ * @param alpha [IN]       pointer to scalar used for multiplication
+ * @param a [IN]           pointer to matrix A
+ * @param lda [IN]         leading dimension used to store the matrix A
+ * @param x [IN]           pointer to vector x
+ * @param incx [IN]        stride between consecutive elements of vector x
+ * @param beta [IN]        pointer to scalar used for multiplication.
+ *                         If beta value == 0,
+ *                         then y does not have to be a valid input
+ * @param y [IN|OUT]       pointer to vector y
+ * @param incy [IN]        stride between consecutive elements of vector y
+ * @param type [IN]        computation type
+ * @param stream [IN]      stream
+ * @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,
+                                          aclrtStream stream);
+
+/**
+ * @ingroup AscendCL
+ * @brief create a handle for performing the matrix-vector multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param m [IN]           number of rows of matrix A
+ * @param n [IN]           number of columns of matrix A
+ * @param type [IN]        computation type
+ * @param handle [OUT]     pointer to the pointer to the handle
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForHgemv(aclTransType transA, int m, int n, aclComputeType type,
+                                                         aclopHandle **handle);
+
+/**
+ * @ingroup AscendCL
+ * @brief perform the matrix-vector multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param m [IN]           number of rows of matrix A
+ * @param n [IN]           number of columns of matrix A
+ * @param alpha [IN]       pointer to scalar used for multiplication
+ * @param a [IN]           pointer to matrix A
+ * @param lda [IN]         leading dimension used to store the matrix A
+ * @param x [IN]           pointer to vector x
+ * @param incx [IN]        stride between consecutive elements of vector x
+ * @param beta [IN]        pointer to scalar used for multiplication.
+ *                         If beta value == 0,
+ *                         then y does not have to be a valid input
+ * @param y [IN|OUT]       pointer to vector y
+ * @param incy [IN]        stride between consecutive elements of vector y
+ * @param type [IN]        computation type
+ * @param stream [IN]      stream
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief create a handle for performing the matrix-vector multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param m [IN]           number of rows of matrix A
+ * @param n [IN]           number of columns of matrix A
+ * @param handle [OUT]     pointer to the pointer to the handle
+ * @param type [IN]        computation type
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclblasCreateHandleForS8gemv(aclTransType transA, int m, int n, aclComputeType type,
+                                                          aclopHandle **handle);
+
+/**
+ * @ingroup AscendCL
+ * @brief perform the matrix-matrix multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param transB [IN]      transpose type of matrix B
+ * @param transC [IN]      transpose type of matrix C
+ * @param m [IN]           number of rows of matrix A and matrix C
+ * @param n [IN]           number of columns of matrix B and matrix C
+ * @param k [IN]           number of columns of matrix A and rows of matrix B
+ * @param alpha [IN]       pointer to scalar used for multiplication. of same type as dataTypeC
+ * @param matrixA [IN]     pointer to matrix A
+ * @param lda [IN]         leading dimension array used to store  matrix A
+ * @param dataTypeA [IN]   datatype of matrix A
+ * @param matrixB [IN]     pointer to matrix B
+ * @param ldb [IN]         leading dimension array used to store  matrix B
+ * @param dataTypeB [IN]   datatype of matrix B
+ * @param beta [IN]        pointer to scalar used for multiplication.
+ *                         of same type as dataTypeC If beta == 0,
+ *                         then matrixC does not have to be a valid input
+ * @param matrixC [IN|OUT] pointer to matrix C
+ * @param ldc [IN]         leading dimension array used to store  matrix C
+ * @param dataTypeC [IN]   datatype of matrix C
+ * @param type [IN]        computation type
+ * @param stream [IN]      stream
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief create a handle for performing the matrix-matrix multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param transB [IN]      transpose type of matrix B
+ * @param transC [IN]      transpose type of matrix C
+ * @param m [IN]           number of rows of matrix A and matrix C
+ * @param n [IN]           number of columns of matrix B and matrix C
+ * @param k [IN]           number of columns of matrix A and rows of matrix B
+ * @param dataTypeA [IN]   datatype of matrix A
+ * @param dataTypeB [IN]   datatype of matrix B
+ * @param dataTypeC [IN]   datatype of matrix C
+ * @param type [IN]        computation type
+ * @param handle [OUT]     pointer to the pointer to the handle
+ * @param type [IN]        computation type
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief perform the matrix-matrix multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param transB [IN]      transpose type of matrix B
+ * @param transC [IN]      transpose type of matrix C
+ * @param m [IN]           number of rows of matrix A and matrix C
+ * @param n [IN]           number of columns of matrix B and matrix C
+ * @param k [IN]           number of columns of matrix A and rows of matrix B
+ * @param alpha [IN]       pointer to scalar used for multiplication
+ * @param matrixA [IN]     pointer to matrix A
+ * @param lda [IN]         leading dimension used to store the matrix A
+ * @param matrixB [IN]     pointer to matrix B
+ * @param ldb [IN]         leading dimension used to store the matrix B
+ * @param beta [IN]        pointer to scalar used for multiplication.
+ *                         If beta value == 0,
+ *                         then matrixC does not have to be a valid input
+ * @param matrixC [IN|OUT] pointer to matrix C
+ * @param ldc [IN]         leading dimension used to store the matrix C
+ * @param type [IN]        computation type
+ * @param stream [IN]      stream
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief create a handle for performing the matrix-matrix multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param transB [IN]      transpose type of matrix B
+ * @param transC [IN]      transpose type of matrix C
+ * @param m [IN]           number of rows of matrix A and matrix C
+ * @param n [IN]           number of columns of matrix B and matrix C
+ * @param k [IN]           number of columns of matrix A and rows of matrix B
+ * @param type [IN]        computation type
+ * @param handle [OUT]     pointer to the pointer to the handle
+ *
+ * @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,
+                                                         aclopHandle **handle);
+
+/**
+ * @ingroup AscendCL
+ * @brief perform the matrix-matrix multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param transB [IN]      transpose type of matrix B
+ * @param transC [IN]      transpose type of matrix C
+ * @param m [IN]           number of rows of matrix A and matrix C
+ * @param n [IN]           number of columns of matrix B and matrix C
+ * @param k [IN]           number of columns of matrix A and rows of matrix B
+ * @param alpha [IN]       pointer to scalar used for multiplication
+ * @param matrixA [IN]     pointer to matrix A
+ * @param lda [IN]         leading dimension used to store the matrix A
+ * @param matrixB [IN]     pointer to matrix B
+ * @param ldb [IN]         leading dimension used to store the matrix B
+ * @param beta [IN]        pointer to scalar used for multiplication.
+ *                         If beta value == 0,
+ *                         then matrixC does not have to be a valid input
+ * @param matrixC [IN|OUT] pointer to matrix C
+ * @param ldc [IN]         leading dimension used to store the matrix C
+ * @param type [IN]        computation type
+ * @param stream [IN]      stream
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief create a handle for performing the matrix-matrix multiplication
+ *
+ * @param transA [IN]      transpose type of matrix A
+ * @param transB [IN]      transpose type of matrix B
+ * @param transC [IN]      transpose type of matrix C
+ * @param m [IN]           number of rows of matrix A and matrix C
+ * @param n [IN]           number of columns of matrix B and matrix C
+ * @param k [IN]           number of columns of matrix A and rows of matrix B
+ * @param type [IN]        computation type
+ * @param handle [OUT]     pointer to the pointer to the handle
+ *
+ * @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,
+                                                          aclopHandle **handle);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif  // INC_EXTERNAL_ACL_OPS_ACL_CBLAS_H_

inc/external/acl/ops/acl_fv.h

@@ -0,0 +1,353 @@
+/**
+ * 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.
+ */
+
+#ifndef INC_EXTERNAL_ACL_OPS_ACL_RETR_H_
+#define INC_EXTERNAL_ACL_OPS_ACL_RETR_H_
+
+#include "acl/acl.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+typedef struct aclfvInitPara aclfvInitPara;
+typedef struct aclfvFeatureInfo aclfvFeatureInfo;
+typedef struct aclfvRepoRange aclfvRepoRange;
+typedef struct aclfvQueryTable aclfvQueryTable;
+typedef struct aclfvSearchInput aclfvSearchInput;
+typedef struct aclfvSearchResult aclfvSearchResult;
+
+// search operation type
+enum aclfvSearchType {
+  SEARCH_1_N,  // 1:N operation type
+  SEARCH_N_M   // N:M operation type
+};
+
+/**
+ * @ingroup AscendCL
+ * @brief Create fv init param.
+ *
+ * @param fsNum [IN]  The feature num
+ *
+ * @retval null for failed.
+ * @retval OtherValues success.
+ */
+ACL_FUNC_VISIBILITY aclfvInitPara *aclfvCreateInitPara(uint64_t fsNum);
+
+/**
+ * @ingroup AscendCL
+ * @brief Destroy fv init param.
+ *
+ * @par Function
+ * Can only destroy fv init param information created
+ * through aclfvCreateInitPara interface.
+ *
+ * @param initPara [IN]   fv init param.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclfvCreateInitPara
+ */
+ACL_FUNC_VISIBILITY aclError aclfvDestroyInitPara(aclfvInitPara *initPara);
+
+/**
+ * @ingroup AscendCL
+ * @brief set value for maxTopNumFor1N which in fv init param.
+ *
+ * @param initPara [IN|OUT]     fv init param.
+ * @param maxTopNumFor1N [IN]   maxTopNumFor1N value for init param.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclfvSet1NTopNum(aclfvInitPara *initPara, uint32_t maxTopNumFor1N);
+
+/**
+ * @ingroup AscendCL
+ * @brief set value for maxTopNumForNM which in fv init param.
+ *
+ * @param initPara [IN|OUT]        fv init param.
+ * @param maxTopNumForNM [IN]   maxTopNumForNM value for init param.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ */
+ACL_FUNC_VISIBILITY aclError aclfvSetNMTopNum(aclfvInitPara *initPara, uint32_t maxTopNumForNM);
+
+/**
+ * @ingroup AscendCL
+ * @brief Create fv feature info.
+ *
+ * @param id0 [IN]     The first level library id0
+ * @param id1 [IN]     Secondary library id1
+ * @param offset [IN]  The offset of the first feature in the library
+ * @param featureLen [IN]       Single feature length
+ * @param featureCount [IN]     Single feature count
+ * @param featureData [IN]      Feature value list
+ * @param featureDataLen [IN]   Feature value list length
+ *
+ * @retval null for failed.
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief Destroy fv feature info.
+ *
+ * @par Function
+ * Can only destroy fv feature info information created
+ * through aclfvCreateFeatureInfo interface.
+ *
+ * @param featureInfo [IN]     fv feature info.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclfvCreateFeatureInfo
+ */
+ACL_FUNC_VISIBILITY aclError aclfvDestroyFeatureInfo(aclfvFeatureInfo *featureInfo);
+
+/**
+ * @ingroup AscendCL
+ * @brief Create fv repo range.
+ *
+ * @param id0Min [IN]  id0 start value
+ * @param id0Min [IN]  id0 max
+ * @param id1Min [IN]  id0 start value
+ * @param id1Max [IN]  id1 max
+ *
+ * @retval null for failed. OtherValues success
+ */
+ACL_FUNC_VISIBILITY aclfvRepoRange *aclfvCreateRepoRange(uint32_t id0Min, uint32_t id0Max, uint32_t id1Min,
+                                                         uint32_t id1Max);
+
+/**
+ * @ingroup AscendCL
+ * @brief Destroy fv repo range.
+ *
+ * @par Function
+ * Can only destroy fv repo range information created
+ * through aclfvCreateRepoRange interface.
+ *
+ * @param repoRange [IN]     fv repo range.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclfvCreateRepoRange
+ */
+ACL_FUNC_VISIBILITY aclError aclfvDestroyRepoRange(aclfvRepoRange *repoRange);
+
+/**
+ * @ingroup AscendCL
+ * @brief Create query table.
+ *
+ * @param queryCnt [IN]   Number of tables, the maximum number is 6
+ * @param tableLen [IN]   Single table length, table length is 32KB
+ * @param tableData [IN]  Feature value list
+ * @param tableDataLen [IN]   The length of memory requested by the featureData pointer
+ *
+ * @retval null for failed. OtherValues success
+ */
+ACL_FUNC_VISIBILITY aclfvQueryTable *aclfvCreateQueryTable(uint32_t queryCnt, uint32_t tableLen, uint8_t *tableData,
+                                                           uint32_t tableDataLen);
+
+/**
+ * @ingroup AscendCL
+ * @brief Destroy query table.
+ *
+ * @par Function
+ * Can only destroy query table information created
+ * through aclfvCreateQueryTable interface.
+ *
+ * @param queryTable [IN]     query table.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclfvCreateQueryTable
+ */
+ACL_FUNC_VISIBILITY aclError aclfvDestroyQueryTable(aclfvQueryTable *queryTable);
+
+/**
+ * @ingroup AscendCL
+ * @brief Create search input.
+ *
+ * @param queryTable [IN]  query table
+ * @param repoRange [IN]   query repo range
+ * @param topk [IN]  query topk
+ *
+ * @retval null for failed. OtherValues success
+ */
+ACL_FUNC_VISIBILITY aclfvSearchInput *aclfvCreateSearchInput(aclfvQueryTable *queryTable, aclfvRepoRange *repoRange,
+                                                             uint32_t topk);
+
+/**
+ * @ingroup AscendCL
+ * @brief Destroy search input.
+ *
+ * @par Function
+ * Can only destroy search input information created
+ * through aclfvCreateSearchInput interface.
+ *
+ * @param searchInput [IN]     search input.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclfvCreateSearchInput
+ */
+ACL_FUNC_VISIBILITY aclError aclfvDestroySearchInput(aclfvSearchInput *searchInput);
+
+/**
+ * @ingroup AscendCL
+ * @brief Create search result.
+ *
+ * @param queryCnt [IN]   Retrieve the number of features
+ * @param resultNum [IN]  The number of search results for each feature, the number is queryCnt
+ * @param resultNumDataLen [IN]  resultNum memory length
+ * @param id0 [IN]  Level 1 library id0
+ * @param id1 [IN]  Secondary library id1
+ * @param resultOffset [IN]   The offset of the bottom library corresponding
+ * to each feature retrieval result, total length topK * queryCnt
+ * @param resultDistance [IN]  Distance, total length topK * queryCnt
+ * @param dataLen [IN]  The memory size requested by
+ * id0\id1\reslutOffset\resultDistance
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief Destroy search result.
+ *
+ * @par Function
+ * Can only destroy search result information created
+ * through aclfvCreateSearchResult interface.
+ *
+ * @param searchResult [IN]     search result.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure
+ *
+ * @see aclfvCreateSearchResult
+ */
+ACL_FUNC_VISIBILITY aclError aclfvDestroySearchResult(aclfvSearchResult *searchResult);
+
+/**
+ * @ingroup AscendCL
+ * @brief fv IP initialize.
+ *
+ * @param initPara [IN]     fv init param.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure.
+ */
+ACL_FUNC_VISIBILITY aclError aclfvInit(aclfvInitPara *initPara);
+
+/**
+ * @ingroup AscendCL
+ * @brief release fv resources.
+ *
+ * @par Function
+ * Can only release fv resources created
+ * through aclfvInit interface.
+ *
+ * @retval ACL_SUCCESS The function is successfully executed.
+ * @retval OtherValues Failure.
+ *
+ * @see aclfvInit
+ */
+ACL_FUNC_VISIBILITY aclError aclfvRelease();
+
+/**
+ * @ingroup AscendCL
+ * @brief fv repo add.
+ *
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief fv repo del.
+ *
+ * @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);
+
+/**
+ * @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);
+
+/**
+ * @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);
+
+/**
+ * @ingroup AscendCL
+ * @brief fv search.
+ *
+ * @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);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif  // INC_EXTERNAL_ACL_OPS_ACL_RETR_H_

inc/external/runtime/rt_error_codes.h

@@ -0,0 +1,91 @@
+/**
+ * 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.
+ */
+
+#ifndef __INC_EXTERNEL_RT_ERROR_CODES_H__
+#define __INC_EXTERNEL_RT_ERROR_CODES_H__
+
+#include <stddef.h>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+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_FEATURE_NOT_SUPPROT = 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_INTERNEL_ERROR = 507000;          // runtime internel 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_DRV_INTERNEL_ERROR = 507899;  // drv internel error
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif  // __INC_EXTERNEL_RT_ERROR_CODES_H__

third_party/fwkacllib/inc/hccl/hccl_types.h

@@ -1,101 +0,0 @@
-/**
- * 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.
- */
-
-/**
- * @file hccl_types.h
- * @brief HCCL data type definition 
- * 
- */
- 
-#ifndef HCCL_TYPES_H_
-#define HCCL_TYPES_H_
-
-#include <stdint.h>
-
-#ifdef __cplusplus
-extern "C" {
-#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 */
-} HcclResult;
-
-/**
- * @brief handle to HCCL communicator
- */
-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 */
-} 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 */
-} HcclDataType;
-
-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];
-} HcclRootInfo;
-
-#ifdef __cplusplus
-}
-#endif // __cplusplus
-#endif // HCCL_TYPES_H_

third_party/fwkacllib/inc/hccl/hcom.h

@@ -110,34 +110,6 @@ HcclResult HcomDestroyGroup(const char *group);
 /**
  * @brief Set the gradient split strategy with in the group, according to gradient index.
  *
- * @param group A string identifying the group name.
- * @param segmentNum An integer(u32) identifying the segments number of gradients.
- * @param IdxList A list identifying the index of end gradient in each segment.
- * @return HcclResult
- */
-extern HcclResult HcomSetGradFusionByIndex(const char *group, u32 segmentNum, const u32 *IdxList);
-
-/**
- * @brief Set the gradient split strategy with in the group, according to gradient data size.
- *
- * @param group A string identifying the group name.
- * @param segmentNum An integer(u32) identifying the segments number of gradients.
- * @param sizeList A list identifying the percent of each segment.
- * @return HcclResult
- */
-extern HcclResult HcomSetGradFusionBySize(const char *group, u32 segmentNum, const float *sizeList);
-
-/**
- * @brief Initialize hcom executor.
- *
- * @param void
- * @return HcclResult
- */
-HcclResult HcomExecInitialize();
-
-/**
- * @brief Finalize hcom executor.
- *
  * @param void
  * @return HcclResult
  */

third_party/fwkacllib/inc/mmpa/sub_inc/mmpa_typedef_win.h

@@ -1,4 +1,4 @@
-/**
+/**
  * Copyright 2019-2020 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");

third_party/fwkacllib/inc/mmpa/sub_inc/mmpa_win.h

@@ -1,4 +1,4 @@
-/**
+/**
  * Copyright 2019-2020 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");

third_party/fwkacllib/inc/runtime/base.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_BASE_H__
 #define __CCE_RUNTIME_BASE_H__

third_party/fwkacllib/inc/runtime/config.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_CONFIG_H__
 #define __CCE_RUNTIME_CONFIG_H__

third_party/fwkacllib/inc/runtime/context.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_CONTEXT_H__
 #define __CCE_RUNTIME_CONTEXT_H__

third_party/fwkacllib/inc/runtime/dev.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_DEVICE_H__
 #define __CCE_RUNTIME_DEVICE_H__

third_party/fwkacllib/inc/runtime/dvfsprofile.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_DVFSPROFILE_H__
 #define __CCE_RUNTIME_DVFSPROFILE_H__

third_party/fwkacllib/inc/runtime/event.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_EVENT_H__
 #define __CCE_RUNTIME_EVENT_H__

third_party/fwkacllib/inc/runtime/kernel.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_KERNEL_H__
 #define __CCE_RUNTIME_KERNEL_H__

third_party/fwkacllib/inc/runtime/mem.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_MEM_H__
 #define __CCE_RUNTIME_MEM_H__

third_party/fwkacllib/inc/runtime/rt.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_RT_H__
 #define __CCE_RUNTIME_RT_H__

third_party/fwkacllib/inc/runtime/rt_model.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_MODEL_H__
 #define __CCE_RUNTIME_MODEL_H__

third_party/fwkacllib/inc/runtime/stream.h

@@ -1,18 +1,18 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
-
+ * 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.
-*/
+ */
 
 #ifndef __CCE_RUNTIME_STREAM_H__
 #define __CCE_RUNTIME_STREAM_H__

third_party/fwkacllib/inc/tdt/index_transform.h

@@ -1,10 +1,18 @@
 /**
-* @file index_transform.h
-*
-* Copyright (C) Huawei Technologies Co., Ltd. 2018-2019. All Rights Reserved.
-*
-* This program is used to get logical device id by phy device id.
-*/
+ * 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.
+ */
 
 #ifndef INC_TDT_INDEX_TRANSFORM_H
 #define INC_TDT_INDEX_TRANSFORM_H

third_party/fwkacllib/inc/tdt/status.h

@@ -1,4 +1,4 @@
-/**
+/**
  * Copyright 2019-2020 Huawei Technologies Co., Ltd
  *
  * Licensed under the Apache License, Version 2.0 (the "License");

third_party/fwkacllib/inc/toolchain/adx_datadump_server.h

@@ -1,12 +1,18 @@
 /**
-* @file adx_datadump_server.h
-*
-* Copyright (c) Huawei Technologies Co., Ltd. 2020-2020. All rights reserved.
-*
-* This program is distributed in the hope that it will be useful,
-* but WITHOUT ANY WARRANTY; without even the implied warranty of
-* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
-*/
+ * 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.
+ */
 
 #ifndef ADX_DATADUMP_SERVER_H
 #define ADX_DATADUMP_SERVER_H

third_party/fwkacllib/inc/toolchain/prof_acl_api.h

@@ -14,11 +14,20 @@
  * limitations under the License.
  */
 
-#ifndef MSPROF_ENGINE_PROF_ACL_API_H_
-#define MSPROF_ENGINE_PROF_ACL_API_H_
+#ifndef MSPROFILER_API_PROF_ACL_API_H_
+#define MSPROFILER_API_PROF_ACL_API_H_
 
 #define MSVP_MAX_DEV_NUM 64
+#ifndef OS_TYPE
+#define OS_TYPE 0
+#endif // OS_TYPE
+
+
+#if (OS_TYPE != LINUX)
+#define MSVP_PROF_API __declspec(dllexport)
+#else
 #define MSVP_PROF_API __attribute__((visibility("default")))
+#endif
 
 // DataTypeConfig
 #define PROF_ACL_API                0x0001
@@ -78,6 +87,9 @@ enum ProfErrorCode {
     PROF_ERROR_UNSUPPORTED,         // unsupported data type or ai core metrics
     PROF_ERROR_REPEAT_START,        // profiilng has already been started
     PROF_ERROR_NOT_STARTED,         // profiling has not been started
+    PROF_ERROR_REPEAT_SUBSCRIBE,    // same model id has already been subscribed
+    PROF_ERROR_MODEL_ID_INVALID,    // model id does not exist or has not been subscribed
+    PROF_ERROR_API_CONFLICT,        // prof ctrl api mode conflicts with subscribe mode
 };
 
 /**
@@ -107,7 +119,8 @@ enum ProfAicoreMetrics {
     PROF_AICORE_MEMORY = 3,
     PROF_AICORE_INTERNAL_MEMORY = 4,
     PROF_AICORE_STALL = 5,
-    PROF_AICORE_EVENT = 255
+    PROF_AICORE_METRICS_COUNT,
+    PROF_AICORE_NONE = 0xff,
 };
 
 /**
@@ -130,12 +143,54 @@ struct ProfConfig {
 MSVP_PROF_API int32_t ProfStartProfiling(const ProfConfig *profStartCfg);
 
 /**
- * @name  ProfStopConfig
- * @brief struct of ProfStop
+ * @name  ProfStopProfiling
+ * @brief stop profiling
+ * @param profStopCfg [IN] config to stop profiling
+ * @return ProfErrorCode
  */
-struct ProfStopConfig {
-    uint64_t padding;
-};
+MSVP_PROF_API int32_t ProfStopProfiling(const ProfConfig *profStopCfg);
+
+/**
+ * @name  ProfFinalize
+ * @brief finalize profiling task
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfFinalize();
+
+/**
+ * @name  ProfGetDataTypeConfig
+ * @brief get dataTypeConfig started with of one device
+ * @param deviceId          [IN] deviceId to get dataTypeConfig
+ * @param dataTypeConfig    [OUT] result get
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfGetDataTypeConfig(uint32_t deviceId, uint64_t &dataTypeConfig);
+
+namespace Msprofiler {
+namespace Api {
+/**
+ * @brief transfer profiling config in acl.json to sample config
+ * @param aclCfg       [IN]  profiling json string from acl.json as {"switch":"on", "result_path":"/home",...}
+ * @param sampleCfg    [OUT] json string for GE as {"startCfg":[{"deviceID":"all","jobID":"1234",...}]}
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfAclCfgToSampleCfg(const std::string &aclCfg, std::string &sampleCfg);
+
+/**
+ * @name  ProfInit
+ * @brief init profiling
+ * @param profInitCfg [IN] config of init profiling of json format
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfInit(const std::string &profInitCfg);
+
+/**
+ * @name  ProfStartProfiling
+ * @brief start profiling
+ * @param profStartCfg [IN] config to start profiling
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfStartProfiling(const ProfConfig *profStartCfg);
 
 /**
  * @name  ProfStopProfiling
@@ -161,4 +216,181 @@ MSVP_PROF_API int32_t ProfFinalize();
  */
 MSVP_PROF_API int32_t ProfGetDataTypeConfig(uint32_t deviceId, uint64_t &dataTypeConfig);
 
-#endif  // MSPROF_ENGINE_PROF_ACL_API_H_
+/**
+ * @name  WorkMode
+ * @brief profiling api work mode
+ */
+enum WorkMode {
+    WORK_MODE_OFF,          // profiling not at work
+    WORK_MODE_API_CTRL,     // profiling work on api ctrl mode, (ProfInit)
+    WORK_MODE_SUBSCRIBE,    // profiling work on subscribe mode
+};
+
+/**
+ * @name  ProfGetApiWorkMode
+ * @brief get profiling api work mode
+ * @return WorkMode
+ */
+MSVP_PROF_API WorkMode ProfGetApiWorkMode();
+
+/**
+ * @name  ProfSubscribeConfig
+ * @brief config of subscribe api
+ */
+struct ProfSubscribeConfig {
+    bool timeInfo;                      // subscribe op time
+    ProfAicoreMetrics aicoreMetrics;    // subscribe ai core metrics
+    void* fd;                           // pipe fd
+};
+
+/**
+ * @name  ProfGetDataTypeConfig
+ * @brief get DataTypeConfig of subscribe
+ * @param profSubscribeConfig [IN] config to subscribe data
+ * @return DataTypeConfig
+ */
+MSVP_PROF_API uint64_t ProfGetDataTypeConfig(const ProfSubscribeConfig *profSubscribeConfig);
+
+/**
+ * @name  ProfModelSubscribe
+ * @brief subscribe data of one model id
+ * @param modelId [IN] model id to subscribe data
+ * @param devId [IN] device id of model
+ * @param profSubscribeConfig [IN] config to subscribe data
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfModelSubscribe(uint32_t modelId, uint32_t devId,
+                                         const ProfSubscribeConfig *profSubscribeConfig);
+
+/**
+ * @name  ProfIsModelSubscribed
+ * @brief check if a model id is subscribed
+ * @param modeiId [IN] modei id to check
+ * @return true: subscribed, false: not
+ */
+MSVP_PROF_API bool ProfIsModelSubscribed(uint32_t modelId);
+
+/**
+ * @name  ProfModelUnSubscribe
+ * @brief unsubscribe a model id
+ * @param modeiId [IN] modei id to unsubscribe
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfModelUnSubscribe(uint32_t modelId);
+
+/**
+ * @name  ProfGetOpDescSize
+ * @brief get profiling data struct size
+ * @param opDescSize [OUT] bytes of profiling subscribe data struct
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfGetOpDescSize(uint32_t *opDescSize);
+
+/**
+ * @name  ProfGetOpNum
+ * @brief get how many op data there are in data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param opNum [OUT] number of op in data
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfGetOpNum(const void *data, uint32_t len, uint32_t *opNum);
+
+/**
+ * @name  ProfGetModelId
+ * @brief get model id of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param index [IN] index of part(op)
+ * @return model id
+ */
+MSVP_PROF_API uint32_t ProfGetModelId(const void *data, uint32_t len, uint32_t index);
+
+/**
+ * @name  ProfGetOpType
+ * @brief get op type of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param opType [OUT] op type buffer
+ * @param opTypeLen [IN] buffer size of param opType
+ * @param index [IN] index of part(op)
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfGetOpType(const void *data, uint32_t len, char *opType, uint32_t opTypeLen, uint32_t index);
+
+/**
+ * @name  ProfGetOpName
+ * @brief get op name of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param opType [OUT] op name buffer
+ * @param opTypeLen [IN] buffer size of param opName
+ * @param index [IN] index of part(op)
+ * @return ProfErrorCode
+ */
+MSVP_PROF_API int32_t ProfGetOpName(const void *data, uint32_t len, char *opName, uint32_t opNameLen, uint32_t index);
+
+/**
+ * @name  ProfGetOpStart
+ * @brief get op start timestamp of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param index [IN] index of part(op)
+ * @return op start timestamp (us)
+ */
+MSVP_PROF_API uint64_t ProfGetOpStart(const void *data, uint32_t len, uint32_t index);
+
+/**
+ * @name  ProfGetOpEnd
+ * @brief get op end timestamp of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param index [IN] index of part(op)
+ * @return op end timestamp (us)
+ */
+MSVP_PROF_API uint64_t ProfGetOpEnd(const void *data, uint32_t len, uint32_t index);
+
+/**
+ * @name  ProfGetOpDuration
+ * @brief get op duration of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param index [IN] index of part(op)
+ * @return op duration (us)
+ */
+MSVP_PROF_API uint64_t ProfGetOpDuration(const void *data, uint32_t len, uint32_t index);
+
+/**
+ * @name  ProfGetOpExecutionTime
+ * @brief get op execution time of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param index [IN] index of part(op)
+ * @return op execution time (us)
+ */
+MSVP_PROF_API uint64_t ProfGetOpExecutionTime(const void *data, uint32_t len, uint32_t index);
+
+/**
+ * @name  ProfGetOpCubeOps
+ * @brief get op cube fops of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param index [IN] index of part(op)
+ * @return op cube fops
+ */
+MSVP_PROF_API uint64_t ProfGetOpCubeOps(const void *data, uint32_t len, uint32_t index);
+
+/**
+ * @name  ProfGetOpVectorOps
+ * @brief get op vector fops of specific part of data
+ * @param data [IN] data read from pipe
+ * @param len [IN] data length
+ * @param index [IN] index of part(op)
+ * @return op vector fops
+ */
+MSVP_PROF_API uint64_t ProfGetOpVectorOps(const void *data, uint32_t len, uint32_t index);
+
+}   // namespace Api
+}   // namespace Msprofiler
+
+#endif  // MSPROFILER_API_PROF_ACL_API_H_

third_party/fwkacllib/inc/toolchain/prof_mgr_core.h

@@ -16,7 +16,16 @@
 
 #ifndef MSPROF_ENGINE_PROF_MGR_CORE_H_
 #define MSPROF_ENGINE_PROF_MGR_CORE_H_
+#ifndef OS_TYPE
+#define OS_TYPE 0
+#endif // OS_TYPE
+
+#if (OS_TYPE != LINUX)
+#define MSVP_PROF_API __declspec(dllexport)
+#else
 #define MSVP_PROF_API __attribute__((visibility("default")))
+#endif
+
 
 #include <string>
 #include <vector>

third_party/fwkacllib/inc/toolchain/prof_reporter.h

@@ -26,8 +26,6 @@
 #define MSVP_PROF_API __attribute__((visibility("default")))
 #endif
 
-#include "prof_callback.h"
-
 /**
  * @file prof_reporter.h
  * @defgroup reporter the reporter group

third_party/fwkacllib/inc/toolchain/slog.h

@@ -120,15 +120,15 @@ typedef struct tagKV {
 } KeyValue;
 
 typedef enum {
-  APPLICATION = 0,
-  SYSTEM
+    APPLICATION = 0,
+    SYSTEM
 } ProcessType;
 
 typedef struct {
-  ProcessType type;
-  unsigned int pid;
-  unsigned int deviceId;
-  char reserved[RESERVERD_LENGTH];
+    ProcessType type;
+    unsigned int pid;
+    unsigned int deviceId;
+    char reserved[RESERVERD_LENGTH];
 } LogAttr;
 
 /**

third_party/fwkacllib/inc/toolchain/tuning_tool/tune_api.h

@@ -1,13 +1,19 @@
 /**
- * @file tune_api.h
+ * Copyright 2019-2020 Huawei Technologies Co., Ltd
  *
- * Copyright (c) Huawei Technologies Co., Ltd. 2020-2020. All rights reserved.\n
+ * 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
  *
- * This program is distributed in the hope that it will be useful,
- * but WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.\n
- * 描述：mstune调优接口头文件
+ * 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.
  */
+
 /** @defgroup mstune mstune调优接口 */
 #ifndef TUNE_API_H
 #define TUNE_API_H