update version

acl/CMakeLists.txt

@@ -1,9 +1,9 @@
-#if(NOT HAVE_ACL)
+# if(NOT HAVE_ACL)
-#  ocv_module_disable(acl)
+# ocv_module_disable(acl)
-#  return()
+# return()
-#endif()
+# endif()
 
-#set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}" "-DENABLE_DVPP_INTERFACE")
+# set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}" "-DENABLE_DVPP_INTERFACE")
 
 set(acl_lib "/usr/local/Ascend/ascend-toolkit/latest/acllib/lib64/stub/")
 set(acl_lib "/usr/local/Ascend/ascend-toolkit/latest/fwkacllib/lib64/stub/")

acl/include/opencv2/acl/acl.hpp

@@ -1,8 +1,9 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
+/* M///////////////////////////////////////////////////////////////////////////////////////
 //
 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 //
-//  By downloading, copying, installing or using the software you agree to this license.
+//  By downloading, copying, installing or using the software you agree to this
+license.
 //  If you do not agree to this license, do not download, install,
 //  copy or use the software.
 //
@@ -10,28 +11,35 @@
 //                           License Agreement
 //                For Open Source Computer Vision Library
 //
-// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science,
+all rights reserved.
 // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
 // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
 // Third party copyrights are property of their respective owners.
 //
-// Redistribution and use in source and binary forms, with or without modification,
+// Redistribution and use in source and binary forms, with or without
+modification,
 // are permitted provided that the following conditions are met:
 //
 //   * Redistribution's of source code must retain the above copyright notice,
 //     this list of conditions and the following disclaimer.
 //
-//   * Redistribution's in binary form must reproduce the above copyright notice,
+//   * Redistribution's in binary form must reproduce the above copyright
+notice,
 //     this list of conditions and the following disclaimer in the documentation
 //     and/or other materials provided with the distribution.
 //
-//   * The name of the copyright holders may not be used to endorse or promote products
+//   * The name of the copyright holders may not be used to endorse or promote
+products
 //     derived from this software without specific prior written permission.
 //
-// This software is provided by the copyright holders and contributors "as is" and
+// This software is provided by the copyright holders and contributors "as is"
+and
 // any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// warranties of merchantability and fitness for a particular purpose are
-// In no event shall the Intel Corporation or contributors be liable for any direct,
+disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any
+direct,
 // indirect, incidental, special, exemplary, or consequential damages
 // (including, but not limited to, procurement of substitute goods or services;
 // loss of use, data, or profits; or business interruption) however caused
@@ -39,19 +47,19 @@
 // or tort (including negligence or otherwise) arising in any way out of
 // the use of this software, even if advised of the possibility of such damage.
 //
-//M*/
+//M */
 
 #ifndef OPENCV_ACL_HPP
 #define OPENCV_ACL_HPP
 
-#include "acl_type.hpp"
 #include "acl_init.hpp"
 #include "acl_mat.hpp"
-#include "operator_desc.hpp"
+#include "acl_type.hpp"
+#include "gemm.hpp"
+#include "init_core.hpp"
+#include "mat_core.hpp"
 #include "mathfuncs.hpp"
 #include "matrices.hpp"
-#include "gemm.hpp"
+#include "operator_desc.hpp"
-#include "mat_core.hpp"
-#include "init_core.hpp"
 
 #endif

acl/include/opencv2/acl/acl_init.hpp

@@ -4,55 +4,52 @@
 #include <memory>
 #include <vector>
 
-#include "opencv2/core.hpp"
 #include "acl_type.hpp"
+#include "opencv2/core.hpp"
 
-using namespace std;
+namespace cv {
+namespace acl {
+CV_EXPORTS Mutex &getInitMutex();
+//////////////////////////////// aclEnv ////////////////////////////////
+class CV_EXPORTS aclEnv {
+ public:
+  aclEnv();
+  aclEnv(const char *config_path);
+  static aclEnv *get_acl_env(const char *config_path);
+  int get_device_count();
+  int *refcount;
+  ~aclEnv();
 
-namespace cv
+ private:
-{
+  uint32_t _device_count;
-    namespace acl
+};
-    {
-        CV_EXPORTS Mutex &getInitMutex();
-        //////////////////////////////// aclEnv ////////////////////////////////
-        class CV_EXPORTS aclEnv
-        {
-            public:
-                aclEnv();
-                aclEnv(const char* config_path);
-                static aclEnv* get_acl_env(const char* config_path);
-                int get_device_count();
-                int *refcount;
-                ~aclEnv();
-            private:
-                uint32_t _device_count;
-        };
 
-        //////////////////////////////// aclCxt ////////////////////////////////
+//////////////////////////////// aclCxt ////////////////////////////////
-        class CV_EXPORTS aclCxt
+class CV_EXPORTS aclCxt {
-        {
+ public:
-            public:
+  aclCxt();
-                aclCxt();
+  aclCxt(int device_id);
-                aclCxt(int device_id);
 
-                aclrtContext* get_context();
+  aclrtContext *get_context();
-                void set_current_context();
+  void set_current_context();
 
-                void create_stream(int count = 1);
+  void create_stream(int count = 1);
-                aclStream get_stream(const size_t index = 0);
+  aclStream get_stream(const size_t index = 0);
-                ~aclCxt();
+  ~aclCxt();
-            private:
-                int32_t _device_id;
-                aclrtContext* _context;
-                std::vector<aclStream> _acl_streams;
-        };
 
-        CV_EXPORTS void wait_stream(aclCxt* context, const int stream_id = 0);
+ private:
-        //////////////////////////////// device ////////////////////////////////
+  int32_t _device_id;
-        CV_EXPORTS aclCxt *set_device(const char* config_path, int device_id = 0, int stream_count = 1);
+  aclrtContext *_context;
-        CV_EXPORTS void release_device(aclCxt* context);
+  std::vector<aclStream> _acl_streams;
+};
 
-    } /* end of namespace acl */
+CV_EXPORTS void wait_stream(aclCxt *context, const int stream_id = 0);
+//////////////////////////////// device ////////////////////////////////
+CV_EXPORTS aclCxt *set_device(const char *config_path, int device_id = 0,
+                              int stream_count = 1);
+CV_EXPORTS void release_device(aclCxt *context);
+
+} /* end of namespace acl */
 
 } /* end of namespace cv */
 

acl/include/opencv2/acl/acl_mat.hpp

@@ -2,172 +2,185 @@
 #define OPENCV_ACL_MAT_HPP
 
 #include "acl/acl.h"
-#include "opencv2/core.hpp"
-#include "acl_type.hpp"
 #include "acl_init.hpp"
+#include "acl_type.hpp"
+#include "opencv2/core.hpp"
 
+namespace cv {
+namespace acl {
+//////////////////////////////// aclMat ////////////////////////////////
+class CV_EXPORTS aclMat {
+ public:
+  //! default constructor
+  aclMat();
+  //! constructs aclMatrix of the specified size and type (_type is CV_8UC1,
+  //! CV_16FC1 etc.)
+  aclMat(int rows, int cols, int type, aclCxt *acl_context,
+         ALIGNMENT config = MEMORY_UNALIGNED,
+         MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+  aclMat(Size size, int type, aclCxt *acl_context,
+         ALIGNMENT config = MEMORY_UNALIGNED,
+         MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+  //! copy constructor
+  aclMat(const aclMat &m);
+  //! constructor for aclMatrix headers pointing to user-allocated data
+  aclMat(int rows, int cols, int type, void *data, aclCxt *acl_context,
+         ALIGNMENT config = MEMORY_UNALIGNED, size_t step = Mat::AUTO_STEP);
+  aclMat(Size size, int type, void *data, aclCxt *acl_context,
+         ALIGNMENT config = MEMORY_UNALIGNED, size_t step = Mat::AUTO_STEP);
+  //! creates a matrix header for a part of the bigger matrix
+  aclMat(const aclMat &m, const Range &rowRange,
+         const Range &colRange = Range::all());
+  aclMat(const aclMat &m, const Rect &roi);
+  //! builds aclMat from Mat. Perfom blocking upload to device.
+  aclMat(const Mat &m, aclCxt *acl_context, ALIGNMENT config = MEMORY_UNALIGNED,
+         MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+  //! destructor - calls release()
+  ~aclMat();
 
-namespace cv
+  //! assignment operators shallow copy
-{
+  aclMat &operator=(const aclMat &m);
-    namespace acl
+  //! assignment operator. Perfom blocking upload to device.
-    {
+  aclMat &operator=(const Mat &m);
-        //////////////////////////////// aclMat ////////////////////////////////
-        class CV_EXPORTS aclMat
-        {
-            public:
-                //! default constructor
-                aclMat();
-                //! constructs aclMatrix of the specified size and type (_type is CV_8UC1,  CV_16FC1 etc.)
-                aclMat(int rows, int cols, int type, aclCxt *acl_context, ALIGNMENT config = MEMORY_UNALIGNED, MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
-                aclMat(Size size, int type, aclCxt *acl_context, ALIGNMENT config = MEMORY_UNALIGNED, MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
-                //! copy constructor
-                aclMat(const aclMat &m);
-                //! constructor for aclMatrix headers pointing to user-allocated data
-                aclMat(int rows, int cols, int type, void *data, aclCxt* acl_context, ALIGNMENT config = MEMORY_UNALIGNED, size_t step = Mat::AUTO_STEP);
-                aclMat(Size size, int type, void *data, aclCxt* acl_context, ALIGNMENT config = MEMORY_UNALIGNED, size_t step = Mat::AUTO_STEP);
-                //! creates a matrix header for a part of the bigger matrix
-                aclMat(const aclMat &m, const Range &rowRange, const Range &colRange = Range::all());
-                aclMat(const aclMat &m, const Rect &roi);
-                //! builds aclMat from Mat. Perfom blocking upload to device.
-                aclMat (const Mat &m, aclCxt* acl_context, ALIGNMENT config = MEMORY_UNALIGNED, MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
-                //! destructor - calls release()
-                ~aclMat();
 
-                //! assignment operators shallow copy
+  //! pefroms blocking upload data to aclMat.
-                aclMat &operator=(const aclMat &m);
+  void upload(const Mat &m, ALIGNMENT config = MEMORY_UNALIGNED);
-                //! assignment operator. Perfom blocking upload to device.
+  void upload(const Mat &m, aclStream stream,
-                aclMat &operator=(const Mat &m);
+              ALIGNMENT config = MEMORY_UNALIGNED);
+  //! downloads data from device to host memory. Blocking calls.
+  void download(Mat &m, ALIGNMENT config = MEMORY_UNALIGNED) const;
+  void download(Mat &m, aclStream stream,
+                ALIGNMENT config = MEMORY_UNALIGNED) const;
 
-                //! pefroms blocking upload data to aclMat.
+  operator Mat() const;
-                void upload(const Mat &m, ALIGNMENT config = MEMORY_UNALIGNED);
+  aclMat clone() const;
-                void upload(const Mat &m, aclStream stream, ALIGNMENT config = MEMORY_UNALIGNED);
+  void copyTo(aclMat &dest) const;
-                //! downloads data from device to host memory. Blocking calls.
-                void download(Mat &m, ALIGNMENT config = MEMORY_UNALIGNED) const;
-                void download(Mat &m, aclStream stream, ALIGNMENT config = MEMORY_UNALIGNED) const;
 
-                operator Mat() const;
+  //! returns a new aclMatrix header for the specified row
-                aclMat clone() const;
+  aclMat row(int y) const;
-                void copyTo(aclMat& dest) const;
+  //! returns a new aclMatrix header for the specified column
+  aclMat col(int x) const;
+  //! ... for the specified row span
+  aclMat rowRange(int startrow, int endrow) const;
+  aclMat rowRange(const Range &r) const;
+  //! ... for the specified column span
+  aclMat colRange(int startcol, int endcol) const;
+  aclMat colRange(const Range &r) const;
 
-                //! returns a new aclMatrix header for the specified row
+  //! locates aclMatrix header within a parent aclMatrix. See below
-                aclMat row(int y) const;
+  void locateROI(Size &wholeSize, Point &ofs) const;
-                //! returns a new aclMatrix header for the specified column
+  //! moves/resizes the current aclMatrix ROI inside the parent aclMatrix.
-                aclMat col(int x) const;
+  aclMat &adjustROI(int dtop, int dbottom, int dleft, int dright);
-                //! ... for the specified row span
-                aclMat rowRange(int startrow, int endrow) const;
-                aclMat rowRange(const Range &r) const;
-                //! ... for the specified column span
-                aclMat colRange(int startcol, int endcol) const;
-                aclMat colRange(const Range &r) const;
 
-                //! locates aclMatrix header within a parent aclMatrix. See below
+  //! allocates new aclMatrix data unless the aclMatrix already has specified
-                void locateROI(Size &wholeSize, Point &ofs) const;
+  //! size and type.
-                //! moves/resizes the current aclMatrix ROI inside the parent aclMatrix.
+  // previous data is unreferenced if needed.
-                aclMat &adjustROI(int dtop, int dbottom, int dleft, int dright);
+  void create(int rows, int cols, int type, ALIGNMENT config = MEMORY_UNALIGNED,
+              MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+  void create(Size size, int type, ALIGNMENT config = MEMORY_UNALIGNED,
+              MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
 
-                //! allocates new aclMatrix data unless the aclMatrix already has specified size and type.
+  //! allocates new aclMatrix with specified device memory type.
-                // previous data is unreferenced if needed.
+  void createEx(int rows, int cols, int type,
-                void create(int rows, int cols, int type, ALIGNMENT config = MEMORY_UNALIGNED, MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+                ALIGNMENT config = MEMORY_UNALIGNED,
-                void create(Size size, int type, ALIGNMENT config = MEMORY_UNALIGNED, MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+                MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+  void createEx(Size size, int type, ALIGNMENT config = MEMORY_UNALIGNED,
+                MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
 
-                //! allocates new aclMatrix with specified device memory type.
+  //! decreases reference counter;
-                void createEx(int rows, int cols, int type, ALIGNMENT config = MEMORY_UNALIGNED, MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+  // deallocate the data when reference counter reaches 0.
-                void createEx(Size size, int type, ALIGNMENT config = MEMORY_UNALIGNED, MemMallocPolicy policy = MALLOC_NORMAL_ONLY);
+  void release();
 
-                //! decreases reference counter;
+  //! swaps with other smart pointer
-                // deallocate the data when reference counter reaches 0.
+  void swap(aclMat &mat);
-                void release();
 
-                //! swaps with other smart pointer
+  //! extracts a rectangular sub-aclMatrix
-                void swap(aclMat &mat);
+  // (this is a generalized form of row, rowRange etc.)
+  aclMat operator()(Range rowRange, Range colRange) const;
+  aclMat operator()(const Rect &roi) const;
 
-                //! extracts a rectangular sub-aclMatrix
+  aclMat &operator+=(const aclMat &m);
-                // (this is a generalized form of row, rowRange etc.)
+  aclMat &operator-=(const aclMat &m);
-                aclMat operator()( Range rowRange, Range colRange ) const;
+  aclMat &operator/=(const aclMat &m);
-                aclMat operator()( const Rect &roi ) const;
+  aclMat &operator*=(const aclMat &m);
 
-                aclMat& operator+=( const aclMat& m );
+  //! returns true if the aclMatrix data is continuous
-                aclMat& operator-=( const aclMat& m );
+  // (i.e. when there are no gaps between successive rows).
-                aclMat& operator/=( const aclMat& m );
+  // similar to CV_IS_aclMat_CONT(cvaclMat->type)
-                aclMat& operator*=( const aclMat& m );
+  bool isContinuous() const;
 
+  //! returns element size in bytes,
+  // similar to CV_ELEM_SIZE(cvMat->type)
+  size_t elemSize() const;
+  //! returns the size of element channel in bytes.
+  size_t elemSize1() const;
 
-                //! returns true if the aclMatrix data is continuous
+  //! returns element type, similar to CV_MAT_TYPE(cvMat->type)
-                // (i.e. when there are no gaps between successive rows).
+  int type() const;
-                // similar to CV_IS_aclMat_CONT(cvaclMat->type)
+  //! returns element type, i.e. 8UC3 returns 8UC4 because in acl
-                bool isContinuous() const;
+  //! 3 channels element actually use 4 channel space
+  int acltype() const;
+  //! returns element type, similar to CV_MAT_DEPTH(cvMat->type)
+  int depth() const;
 
-                //! returns element size in bytes,
+  //! returns element type, similar to CV_MAT_CN(cvMat->type)
-                // similar to CV_ELEM_SIZE(cvMat->type)
+  int channels() const;
-                size_t elemSize() const;
+  //! returns element type, return 4 for 3 channels element,
-                //! returns the size of element channel in bytes.
+  //! becuase 3 channels element actually use 4 channel space
-                size_t elemSize1() const;
+  int aclchannels() const;
 
-                //! returns element type, similar to CV_MAT_TYPE(cvMat->type)
+  //! returns step/elemSize1()
-                int type() const;
+  size_t step1() const;
-                //! returns element type, i.e. 8UC3 returns 8UC4 because in acl
+  //! returns aclMatrix size:
-                //! 3 channels element actually use 4 channel space
+  // width == number of columns, height == number of rows
-                int acltype() const;
+  Size size() const;
-                //! returns element type, similar to CV_MAT_DEPTH(cvMat->type)
+  //! returns true if aclMatrix data is NULL
-                int depth() const;
+  bool empty() const;
 
-                //! returns element type, similar to CV_MAT_CN(cvMat->type)
+  friend void swap(aclMat &a, aclMat &b);
-                int channels() const;
+  friend void ensureSizeIsEnough(int rows, int cols, int type, aclMat &m,
-                //! returns element type, return 4 for 3 channels element,
+                                 ALIGNMENT config = MEMORY_UNALIGNED);
-                //!becuase 3 channels element actually use 4 channel space
+  friend void ensureSizeIsEnough(Size size, int type, aclMat &m,
-                int aclchannels() const;
+                                 ALIGNMENT config = MEMORY_UNALIGNED);
 
-                //! returns step/elemSize1()
+  /*! includes several bit-fields:
-                size_t step1() const;
+    - the magic signature
-                //! returns aclMatrix size:
+    - continuity flag
-                // width == number of columns, height == number of rows
+    - depth
-                Size size() const;
+    - number of channels
-                //! returns true if aclMatrix data is NULL
+    */
-                bool empty() const;
+  int flags;
+  //! the number of rows and columns
+  int rows, cols;
+  //! a distance between successive rows in bytes; includes the gap if any
+  size_t step;
+  //! pointer to the data(ACL memory object)
+  // uchar *data;
 
-                friend void swap(aclMat &a, aclMat &b);
+  //! OpenCL context associated with the aclMat object.
-                friend void ensureSizeIsEnough(int rows, int cols, int type, aclMat &m, ALIGNMENT config = MEMORY_UNALIGNED);
+  void *data;  // TODO
-                friend void ensureSizeIsEnough(Size size, int type, aclMat &m, ALIGNMENT config = MEMORY_UNALIGNED);
 
-                /*! includes several bit-fields:
+  //! pointer to the reference counter;
-                  - the magic signature
+  // when aclMatrix points to user-allocated data, the pointer is NULL
-                  - continuity flag
+  int *refcount;
-                  - depth
-                  - number of channels
-                  */
-                int flags;
-                //! the number of rows and columns
-                int rows, cols;
-                //! a distance between successive rows in bytes; includes the gap if any
-                size_t step;
-                //! pointer to the data(ACL memory object)
-                //uchar *data;
 
-                //! OpenCL context associated with the aclMat object.
+  //! helper fields used in locateROI and adjustROI
-                void *data; // TODO 
+  // datastart and dataend are not used in current version
+  uchar *datastart;
+  uchar *dataend;
 
-                //! pointer to the reference counter;
+  // add offset for handle ROI, calculated in byte
-                // when aclMatrix points to user-allocated data, the pointer is NULL
+  int offset;
-                int *refcount;
+  // add wholerows and wholecols for the whole matrix, datastart and dataend are
+  // no longer used
+  int wholerows;
+  int wholecols;
 
-                //! helper fields used in locateROI and adjustROI
+  aclCxt *acl_context;
-                //datastart and dataend are not used in current version
+  size_t totalSize;
-                uchar *datastart;
+};
-                uchar *dataend;
+} /* end of namespace acl */
-
-                //add offset for handle ROI, calculated in byte
-                int offset;
-                //add wholerows and wholecols for the whole matrix, datastart and dataend are no longer used
-                int wholerows;
-                int wholecols;
-
-                aclCxt *acl_context;
-                size_t totalSize;
-
-        };
-    } /* end of namespace acl */
 
 } /* end of namespace cv */
 
-
 #endif

acl/include/opencv2/acl/acl_type.hpp

@@ -1,8 +1,9 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
+/* M///////////////////////////////////////////////////////////////////////////////////////
 //
 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 //
-//  By downloading, copying, installing or using the software you agree to this license.
+//  By downloading, copying, installing or using the software you agree to this
+license.
 //  If you do not agree to this license, do not download, install,
 //  copy or use the software.
 //
@@ -10,28 +11,35 @@
 //                           License Agreement
 //                For Open Source Computer Vision Library
 //
-// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science,
+all rights reserved.
 // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
 // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
 // Third party copyrights are property of their respective owners.
 //
-// Redistribution and use in source and binary forms, with or without modification,
+// Redistribution and use in source and binary forms, with or without
+modification,
 // are permitted provided that the following conditions are met:
 //
 //   * Redistribution's of source code must retain the above copyright notice,
 //     this list of conditions and the following disclaimer.
 //
-//   * Redistribution's in binary form must reproduce the above copyright notice,
+//   * Redistribution's in binary form must reproduce the above copyright
+notice,
 //     this list of conditions and the following disclaimer in the documentation
 //     and/or other materials provided with the distribution.
 //
-//   * The name of the copyright holders may not be used to endorse or promote products
+//   * The name of the copyright holders may not be used to endorse or promote
+products
 //     derived from this software without specific prior written permission.
 //
-// This software is provided by the copyright holders and contributors "as is" and
+// This software is provided by the copyright holders and contributors "as is"
+and
 // any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// warranties of merchantability and fitness for a particular purpose are
-// In no event shall the Intel Corporation or contributors be liable for any direct,
+disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any
+direct,
 // indirect, incidental, special, exemplary, or consequential damages
 // (including, but not limited to, procurement of substitute goods or services;
 // loss of use, data, or profits; or business interruption) however caused
@@ -39,7 +47,7 @@
 // or tort (including negligence or otherwise) arising in any way out of
 // the use of this software, even if advised of the possibility of such damage.
 //
-//M*/
+//M */
 
 #ifndef OPENCV_ACL_TYPE_HPP
 #define OPENCV_ACL_TYPE_HPP
@@ -48,110 +56,102 @@
 #define AclVerifyCall(expr) __aclSafeCall(res, __FILE__, __LINE__, __func__)
 
 #include <iostream>
-#include "opencv2/core.hpp"
+
 #include "acl/acl.h"
+#include "opencv2/core.hpp"
 
-namespace cv
+namespace cv {
-{
+namespace acl {
-    namespace acl 
+/**
-    {
+ * An error is reported if the expression value is not 0
-        /**
+ */
-         * An error is reported if the expression value is not 0
+static inline void __aclSafeCall(int err, const char *file, const int line,
-         */
+                                 const char *func = "") {
-        static inline void __aclSafeCall(int err, const char* file, const int line, const char *func="")
+  if (0 != err) {
-        {
+    const char *function = func ? func : "unknown function";
-            if(0 !=  err)
+    std::cerr << "Acl Called Error: "
-            {
+              << "file " << file << ", func " << function << ", line " << line
-                const char* function = func ? func : "unknown function";
+              << " errorCode: " << err << std::endl;
-                std::cerr << "Acl Called Error: " << "file " << file  << ", func " << function << ", line " << line << " errorCode: " << err << std::endl;
+    std::cerr.flush();
-                std::cerr.flush();
+  }
-            }
+}
-        }
 
-        /* Memory alignment */
+/* Memory alignment */
-        enum ALIGNMENT { MEMORY_UNALIGNED = 0, MEMORY_ALIGN = 1};
+enum ALIGNMENT { MEMORY_UNALIGNED = 0, MEMORY_ALIGN = 1 };
 
-        enum { MAGIC_VAL  = 0x42FF0000, AUTO_STEP = 0, CONTINUOUS_FLAG = CV_MAT_CONT_FLAG, SUBMATRIX_FLAG = CV_SUBMAT_FLAG };
+enum {
-        enum { MAGIC_MASK = 0xFFFF0000, TYPE_MASK = 0x00000FFF, DEPTH_MASK = 7 };
+  MAGIC_VAL = 0x42FF0000,
+  AUTO_STEP = 0,
+  CONTINUOUS_FLAG = CV_MAT_CONT_FLAG,
+  SUBMATRIX_FLAG = CV_SUBMAT_FLAG
+};
+enum { MAGIC_MASK = 0xFFFF0000, TYPE_MASK = 0x00000FFF, DEPTH_MASK = 7 };
 
-        typedef aclrtStream aclStream;
+typedef aclrtStream aclStream;
 
-        typedef enum Opdims { TWO_DIMS = 1, FOUR_DIMS } Opdims;
+typedef enum Opdims { TWO_DIMS = 1, FOUR_DIMS } Opdims;
 
-        enum DeviceType
+enum DeviceType {
-        {
+  ACL_DEVICE_TYPE_DEFAULT = (1 << 0),
-            ACL_DEVICE_TYPE_DEFAULT = (1 << 0),
+  ACL_DEVICE_TYPE_200 = (1 << 1),
-            ACL_DEVICE_TYPE_200 = (1 << 1),
+  ACL_DEVICE_TYPE_ACCELERATOR = (1 << 3),
-            ACL_DEVICE_TYPE_ACCELERATOR = (1 << 3),
+};
-        };
 
-        enum AttrType
+enum AttrType { OP_BOOL = 1, OP_INT, OP_FLOAT, OP_STRING };
-        {
-            OP_BOOL = 1,
-            OP_INT,
-            OP_FLOAT,
-            OP_STRING
-        };
 
-        typedef enum MemMallocPolicy
+typedef enum MemMallocPolicy {
-        {
+  MALLOC_HUGE_FIRST = 1,
-            MALLOC_HUGE_FIRST = 1, 
+  MALLOC_HUGE_ONLY,
-            MALLOC_HUGE_ONLY,
+  MALLOC_NORMAL_ONLY,
-            MALLOC_NORMAL_ONLY, 
+  MALLOC_HUGE_FIRST_P2P,
-            MALLOC_HUGE_FIRST_P2P, 
+  MALLOC_HUGE_ONLY_P2P,
-            MALLOC_HUGE_ONLY_P2P,  
+  MALLOC_NORMAL_ONLY_P2P
-            MALLOC_NORMAL_ONLY_P2P
+} MemMallocPolicy;
-        } MemMallocPolicy;
 
+CV_EXPORTS aclDataType type_transition(int depth);
+CV_EXPORTS aclrtMemMallocPolicy type_transition(MemMallocPolicy type);
 
-        CV_EXPORTS aclDataType type_transition(int depth);
+inline aclDataType type_transition(int depth) {
-        CV_EXPORTS aclrtMemMallocPolicy type_transition(MemMallocPolicy type);
+  switch (depth) {
+    case CV_8U:
+      return ACL_UINT8;
+    case CV_8S:
+      return ACL_INT8;
+    case CV_16U:
+      return ACL_UINT16;
+    case CV_16S:
+      return ACL_INT16;
+    case CV_16F:
+      return ACL_FLOAT16;
+    case CV_32S:
+      return ACL_INT32;
+    case CV_32F:
+      return ACL_FLOAT;
+    case CV_64F:
+      return ACL_DOUBLE;
+  }
+  return ACL_DT_UNDEFINED;
+}
 
-        inline aclDataType type_transition(int depth)
+inline aclrtMemMallocPolicy type_transition(MemMallocPolicy type) {
-        {
+  switch (type) {
-            switch (depth)
+    case MALLOC_HUGE_FIRST:
-            {
+      return ACL_MEM_MALLOC_HUGE_FIRST;
-            case CV_8U:
+    case MALLOC_HUGE_ONLY:
-                return ACL_UINT8;
+      return ACL_MEM_MALLOC_HUGE_ONLY;
-            case CV_8S:
+    case MALLOC_NORMAL_ONLY:
-                return ACL_INT8;
+      return ACL_MEM_MALLOC_NORMAL_ONLY;
-            case CV_16U:
+    case MALLOC_HUGE_FIRST_P2P:
-                return ACL_UINT16;
+      return ACL_MEM_MALLOC_HUGE_FIRST_P2P;
-            case CV_16S:
+    case MALLOC_HUGE_ONLY_P2P:
-                return ACL_INT16;
+      return ACL_MEM_MALLOC_HUGE_ONLY_P2P;
-            case CV_16F:
+    case MALLOC_NORMAL_ONLY_P2P:
-                return ACL_FLOAT16;
+      return ACL_MEM_MALLOC_NORMAL_ONLY_P2P;
-            case CV_32S:
+  }
-                return ACL_INT32;
+  return ACL_MEM_MALLOC_HUGE_FIRST;
-            case CV_32F:
+}
-                return ACL_FLOAT;
-            case CV_64F:
-                return ACL_DOUBLE;
-            }
-            return ACL_DT_UNDEFINED;
-        }
 
-        inline aclrtMemMallocPolicy type_transition(MemMallocPolicy type)
+} /* end of namespace acl */
-        {
-            switch (type)
-            {
-            case MALLOC_HUGE_FIRST:
-                return ACL_MEM_MALLOC_HUGE_FIRST;
-            case MALLOC_HUGE_ONLY:
-                return ACL_MEM_MALLOC_HUGE_ONLY;
-            case MALLOC_NORMAL_ONLY:
-                return ACL_MEM_MALLOC_NORMAL_ONLY;
-            case MALLOC_HUGE_FIRST_P2P:
-                return ACL_MEM_MALLOC_HUGE_FIRST_P2P;
-            case MALLOC_HUGE_ONLY_P2P:
-                return ACL_MEM_MALLOC_HUGE_ONLY_P2P;
-            case MALLOC_NORMAL_ONLY_P2P:
-                return ACL_MEM_MALLOC_NORMAL_ONLY_P2P;
-            }
-            return ACL_MEM_MALLOC_HUGE_FIRST;
-        }
-
-    } /* end of namespace acl */
 
 } /* end of namespace cv */
 

acl/include/opencv2/acl/gemm.hpp

@@ -3,19 +3,20 @@
 
 #include "acl_mat.hpp"
 
-namespace cv
+namespace cv {
-{
+namespace acl {
-    namespace acl
+// matrix multiplication
-    {
+CV_EXPORTS void MatMul(const aclMat &src1, const aclMat &src2, aclMat &dest,
-        // matrix multiplication
+                       int stream_id = 0);
-        CV_EXPORTS void MatMul(const aclMat& src1, const aclMat& src2, aclMat& dest, int stream_id = 0);
+// convolution
-        // convolution
+CV_EXPORTS void Convolution(
-        CV_EXPORTS void Convolution(const aclMat& src, const aclMat& kernel, aclMat& dest, \
+    const aclMat &src, const aclMat &kernel, aclMat &dest,
-            const vector<int64_t>& stridesList = vector<int64_t> {1, 1, 1, 1}, const vector<int64_t>& padsList = vector<int64_t> {0, 0, 0, 0}, int stream_id = 0);
+    const std::vector<int64_t> &stridesList = std::vector<int64_t>{1, 1, 1, 1},
+    const std::vector<int64_t> &padsList = std::vector<int64_t>{0, 0, 0, 0},
+    int stream_id = 0);
 
-    } /* end of namespace acl */
+} /* end of namespace acl */
 
 } /* end of namespace cv */
 
-
 #endif

acl/include/opencv2/acl/init_core.hpp

@@ -3,115 +3,96 @@
 
 #include "acl_init.hpp"
 
-namespace cv
+namespace cv {
-{
+namespace acl {
-    namespace acl
+///////////////////////////aclEnv//////////////////////////////////
-    {
+/**
-        ///////////////////////////aclEnv//////////////////////////////////
+ * acl init
-        /**
+ */
-         * acl init
+inline aclEnv::aclEnv() {}
-         */
-        inline aclEnv::aclEnv() 
-        {}
 
-        inline aclEnv::aclEnv(const char* config_path)
+inline aclEnv::aclEnv(const char *config_path) {
-        {
+  uint32_t device_count;
-            uint32_t device_count;
 
-            AclSafeCall(aclInit(config_path));
+  AclSafeCall(aclInit(config_path));
 
-            AclSafeCall(aclrtGetDeviceCount(&device_count));  
+  AclSafeCall(aclrtGetDeviceCount(&device_count));
 
-            _device_count = device_count;
+  _device_count = device_count;
-            // Reference Counting
+  // Reference Counting
-            refcount = static_cast<int *>(fastMalloc(sizeof(*refcount)));
+  refcount = static_cast<int *>(fastMalloc(sizeof(*refcount)));
-            *refcount = 0;
+  *refcount = 0;
 
-            clog << "aclInit() is success" << endl;
+  std::clog << "aclInit() is success" << std::endl;
-        }
+}
 
-        inline int aclEnv::get_device_count()
+inline int aclEnv::get_device_count() { return _device_count; }
-        {
-            return _device_count;
-        }
 
-        inline aclEnv::~aclEnv()
+inline aclEnv::~aclEnv() {
-        {
+  AclSafeCall(aclFinalize());
-            AclSafeCall(aclFinalize());
+  std::clog << "aclFinalize() is success" << std::endl;
-            clog << "aclFinalize() is success" << endl;
+}
-        }
 
+/////////////////////////////////////////aclCxt////////////////////////////
+inline aclCxt::aclCxt(){};
 
-        /////////////////////////////////////////aclCxt////////////////////////////
+inline aclCxt::aclCxt(int device_id) : _device_id(device_id) {
-        inline aclCxt::aclCxt() {};
+  _context = static_cast<aclrtContext *>(fastMalloc(sizeof(*_context)));
+  AclSafeCall(aclrtCreateContext(_context, _device_id));
 
-        inline aclCxt::aclCxt(int device_id) : _device_id(device_id)
+  std::clog << "aclrtCreateContext() is success" << std::endl;
-        {
+}
-            _context = static_cast<aclrtContext *>(fastMalloc(sizeof(*_context)));
-            AclSafeCall(aclrtCreateContext(_context, _device_id));
 
-            clog << "aclrtCreateContext() is success" << endl;
+inline aclrtContext *aclCxt::get_context() { return _context; }
-        }
 
-        inline aclrtContext* aclCxt::get_context()
+/**
-        {
+ *  set current context
-            return _context;
+ */
-        }
+inline void aclCxt::set_current_context() {
+  AclSafeCall(aclrtSetCurrentContext(*_context));
+}
 
-        /** 
+inline void aclCxt::create_stream(int count) {
-         *  set current context 
+  CV_Assert(count > 0);
-         */
-        inline void aclCxt::set_current_context()
-        {
-            AclSafeCall(aclrtSetCurrentContext(*_context));
-        }
 
-        inline void aclCxt::create_stream(int count)
+  int i;
-        {
+  for (i = 0; i < count; i++) {
-            CV_Assert(count > 0);
+    aclStream stream;
+    AclSafeCall(aclrtCreateStream(&stream));
 
-            int i;
+    _acl_streams.push_back(stream);
-            for(i = 0; i <count; i++)
+  }
-            {
-                aclStream stream;
-                AclSafeCall(aclrtCreateStream(&stream));
 
-                _acl_streams.push_back(stream);
+  std::clog << "aclrtCreateStream() is success" << std::endl;
-            }
+}
 
-            clog << "aclrtCreateStream() is success" << endl;
+inline aclrtStream aclCxt::get_stream(const size_t index) {
-        }
+  CV_Assert(index < _acl_streams.size());
+  return _acl_streams[index];
+}
 
-        inline aclrtStream aclCxt::get_stream(const size_t index)
+/**
-        {
+ * destroy stream and context
-            CV_Assert(index < _acl_streams.size());
+ */
-            return _acl_streams[index];
+inline aclCxt::~aclCxt() {
-        }
+  size_t i = 0;
 
-        /**
+  AclSafeCall(aclrtSetCurrentContext(*_context));
-         * destroy stream and context
+  for (i = 0; i < _acl_streams.size(); i++) {
-         */
+    aclStream acl_stream = _acl_streams[i];
-        inline aclCxt::~aclCxt()
+    AclSafeCall(aclrtDestroyStream(acl_stream));
-        {
+  }
-            size_t i = 0;
 
-            AclSafeCall(aclrtSetCurrentContext(*_context));
+  std::clog << "aclrtDestroyStream() is success" << std::endl;
-            for (i = 0; i < _acl_streams.size(); i++)
-            {
-                aclStream acl_stream = _acl_streams[i];
-                AclSafeCall(aclrtDestroyStream(acl_stream));
-            }
 
-            clog << "aclrtDestroyStream() is success" << endl;
+  // empty vector
+  std::vector<aclrtStream>().swap(_acl_streams);
+  AclSafeCall(aclrtDestroyContext(*_context));
 
-            // empty vector
+  std::clog << "aclrtDestroyContext() is success" << std::endl;
-            std::vector<aclrtStream>().swap(_acl_streams);
+}
-            AclSafeCall(aclrtDestroyContext(*_context));
 
-            clog << "aclrtDestroyContext() is success" << endl;
+} /* end of namespace acl */
-        }
-
-    } /* end of namespace acl */
 
 } /* end of namespace cv */
 

acl/include/opencv2/acl/mat_core.hpp

@@ -3,384 +3,410 @@
 
 #include "acl_type.hpp"
 
-namespace cv
+namespace cv {
-{
+namespace acl {
-    namespace acl
+//////////////////////////////// aclMat ////////////////////////////////
-    {
+inline aclMat::aclMat()
-        ////////////////////////////////////////////////////////////////////////
+    : flags(0),
-        //////////////////////////////// aclMat ////////////////////////////////
+      rows(0),
-        ////////////////////////////////////////////////////////////////////////
+      cols(0),
+      step(0),
+      data(nullptr),
+      refcount(nullptr),
+      datastart(nullptr),
+      dataend(nullptr),
+      offset(0),
+      wholerows(0),
+      wholecols(0),
+      acl_context(0),
+      totalSize(0) {}
 
-        inline aclMat::aclMat()
+/**
-            : flags(0), rows(0), cols(0), step(0), data(nullptr), refcount(nullptr),
+ *   @param [in] _acl_context: Acl context
-              datastart(nullptr), dataend(nullptr), offset(0), wholerows(0), wholecols(0), acl_context(0), totalSize(0)
+ *   @param [in] config: Byte aligned or not, Default MEMORY_UNALIGNED
-        {
+ *   @param [in] policy: Acl Memory Application mode, Default
-        }
+ * ACL_MEM_MALLOC_NORMAL_ONLY
+ */
+inline aclMat::aclMat(int _rows, int _cols, int _type, aclCxt *_acl_context,
+                      ALIGNMENT config, MemMallocPolicy policy)
+    : flags(0),
+      rows(0),
+      cols(0),
+      step(0),
+      data(nullptr),
+      refcount(nullptr),
+      datastart(nullptr),
+      dataend(nullptr),
+      offset(0),
+      wholerows(0),
+      wholecols(0),
+      acl_context(_acl_context),
+      totalSize(0) {
+  if (_rows > 0 && _cols > 0) create(_rows, _cols, _type, config, policy);
+}
 
-        /**
+inline aclMat::aclMat(Size _size, int _type, aclCxt *_acl_context,
-         *   @param [in] _acl_context: Acl context
+                      ALIGNMENT config, MemMallocPolicy policy)
-         *   @param [in] config: Byte aligned or not, Default MEMORY_UNALIGNED
+    : flags(0),
-         *   @param [in] policy: Acl Memory Application mode, Default ACL_MEM_MALLOC_NORMAL_ONLY
+      rows(0),
-         */
+      cols(0),
-        inline aclMat::aclMat(int _rows, int _cols, int _type, aclCxt *_acl_context, ALIGNMENT config, MemMallocPolicy policy)
+      step(0),
-            : flags(0), rows(0), cols(0), step(0), data(nullptr), refcount(nullptr), datastart(nullptr),
+      data(nullptr),
-              dataend(nullptr), offset(0), wholerows(0), wholecols(0), acl_context(_acl_context), totalSize(0)
+      refcount(nullptr),
-        {
+      datastart(nullptr),
-            if (_rows > 0 && _cols > 0)
+      dataend(nullptr),
-                create(_rows, _cols, _type, config, policy);
+      offset(0),
-        }
+      wholerows(0),
+      wholecols(0),
+      acl_context(_acl_context),
+      totalSize(0) {
+  if (_size.height > 0 && _size.width > 0) create(_size, _type, config, policy);
+}
 
-        inline aclMat::aclMat(Size _size, int _type, aclCxt *_acl_context, ALIGNMENT config, MemMallocPolicy policy)
+inline aclMat::aclMat(const aclMat &m)
-            : flags(0), rows(0), cols(0), step(0), data(nullptr), refcount(nullptr), datastart(nullptr),
+    : flags(m.flags),
-              dataend(nullptr), offset(0), wholerows(0), wholecols(0), acl_context(_acl_context), totalSize(0)
+      rows(m.rows),
-        {
+      cols(m.cols),
-            if (_size.height > 0 && _size.width > 0)
+      step(m.step),
-                create(_size, _type, config, policy);
+      data(m.data),
-        }
+      refcount(m.refcount),
+      datastart(m.datastart),
+      dataend(m.dataend),
+      offset(m.offset),
+      wholerows(m.wholerows),
+      wholecols(m.wholecols),
+      acl_context(m.acl_context),
+      totalSize(m.totalSize) {
+  if (refcount) CV_XADD(refcount, 1);
+}
 
-        inline aclMat::aclMat(const aclMat &m)
+inline aclMat::aclMat(int _rows, int _cols, int _type, void *_data,
-            : flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount),
+                      aclCxt *_acl_context, ALIGNMENT config, size_t _step)
-              datastart(m.datastart), dataend(m.dataend), offset(m.offset), wholerows(m.wholerows), wholecols(m.wholecols),
+    : flags(0),
-              acl_context(m.acl_context), totalSize(m.totalSize)
+      rows(0),
-        {
+      cols(0),
-            if (refcount)
+      step(0),
-                CV_XADD(refcount, 1);
+      data(nullptr),
-        }
+      refcount(nullptr),
+      datastart(nullptr),
+      dataend(nullptr),
+      offset(0),
+      wholerows(0),
+      wholecols(0),
+      acl_context(_acl_context),
+      totalSize(0) {
+  cv::Mat m(_rows, _cols, _type, _data, _step);
+  if (m.rows > 0 && m.cols > 0) create(m.rows, m.cols, m.type(), config);
+  upload(m, config);
+}
 
-        inline aclMat::aclMat(int _rows, int _cols, int _type, void *_data, aclCxt *_acl_context, ALIGNMENT config, size_t _step)
+inline aclMat::aclMat(Size _size, int _type, void *_data, aclCxt *_acl_context,
-            : flags(0), rows(0), cols(0), step(0), data(nullptr), refcount(nullptr), datastart(nullptr),
+                      ALIGNMENT config, size_t _step)
-              dataend(nullptr), offset(0), wholerows(0), wholecols(0), acl_context(_acl_context), totalSize(0)
+    : flags(0),
-        {
+      rows(0),
-            cv::Mat m(_rows, _cols, _type, _data, _step);
+      cols(0),
-            if (m.rows > 0 && m.cols > 0)
+      step(0),
-                create(m.rows, m.cols, m.type(), config);
+      data(nullptr),
-            upload(m, config);
+      refcount(nullptr),
-        }
+      datastart(nullptr),
+      dataend(nullptr),
+      offset(0),
+      wholerows(0),
+      wholecols(0),
+      acl_context(_acl_context),
+      totalSize(0) {
+  cv::Mat m(_size, _type, _data, _step);
+  if (m.rows > 0 && m.cols > 0) create(m.rows, m.cols, m.type(), config);
+  upload(m, config);
+}
 
-        inline aclMat::aclMat(Size _size, int _type, void *_data, aclCxt *_acl_context, ALIGNMENT config, size_t _step)
+/**
-            : flags(0), rows(0), cols(0), step(0), data(nullptr), refcount(nullptr), datastart(nullptr),
+ * @param [in] rRange: rows begin to end, Range(start, end)
-              dataend(nullptr), offset(0), wholerows(0), wholecols(0), acl_context(_acl_context), totalSize(0)
+ * @param [in] cRange: cols begin to end, Range(start, end)
-        {
+ */
-            cv::Mat m(_size, _type, _data, _step);
+inline aclMat::aclMat(const aclMat &m, const Range &rRange, const Range &cRange)
-            if (m.rows > 0 && m.cols > 0)
+    : flags(m.flags),
-                create(m.rows, m.cols, m.type(), config);
+      step(m.step),
-            upload(m, config);
+      refcount(m.refcount),
-        }
+      datastart(m.datastart),
+      dataend(m.dataend),
+      offset(m.offset),
+      wholerows(m.wholerows),
+      wholecols(m.wholecols),
+      acl_context(m.acl_context),
+      totalSize(m.totalSize) {
+  if (rRange == Range::all())
+    rows = m.rows;
+  else {
+    CV_Assert(0 <= rRange.start && rRange.start <= rRange.end &&
+              rRange.end <= m.rows);
+    rows = rRange.size();
+    offset += step * rRange.start;
+  }
 
-        /**
+  if (cRange == Range::all())
-         * @param [in] rRange: rows begin to end, Range(start, end)
+    cols = m.cols;
-         * @param [in] cRange: cols begin to end, Range(start, end) 
+  else {
-         */
+    CV_Assert(0 <= cRange.start && cRange.start <= cRange.end &&
-        inline aclMat::aclMat(const aclMat &m, const Range &rRange, const Range &cRange)
+              cRange.end <= m.cols);
-            : flags(m.flags), step(m.step), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend),
+    cols = cRange.size();
-              offset(m.offset), wholerows(m.wholerows), wholecols(m.wholecols), acl_context(m.acl_context), totalSize(m.totalSize)
+    offset += cRange.start * elemSize();
-        {
+    flags &= cols < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
-            if (rRange == Range::all())
+  }
-                rows = m.rows;
-            else
-            {
-                CV_Assert(0 <= rRange.start && rRange.start <= rRange.end && rRange.end <= m.rows);
-                rows = rRange.size();
-                offset += step * rRange.start;
-            }
 
-            if (cRange == Range::all())
+  if (rows == 1) flags |= Mat::CONTINUOUS_FLAG;
-                cols = m.cols;
-            else
-            {
-                CV_Assert(0 <= cRange.start && cRange.start <= cRange.end && cRange.end <= m.cols);
-                cols = cRange.size();
-                offset += cRange.start * elemSize();
-                flags &= cols < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
-            }
 
-            if (rows == 1)
+  if (refcount) CV_XADD(refcount, 1);
-                flags |= Mat::CONTINUOUS_FLAG;
+  if (rows <= 0 || cols <= 0) rows = cols = 0;
 
-            if (refcount)
+  data = static_cast<void *>((static_cast<uchar *>(m.data) + offset));
-                CV_XADD(refcount, 1);
+}
-            if (rows <= 0 || cols <= 0)
-                rows = cols = 0;
 
-            data = static_cast<void *>((static_cast<uchar *>(m.data) + offset));
+/**
-        }
+ *  @param [in] roi: Matrix position, Rect(x, y, width, height)
+ *
+ */
+inline aclMat::aclMat(const aclMat &m, const Rect &roi)
+    : flags(m.flags),
+      rows(roi.height),
+      cols(roi.width),
+      step(m.step),
+      refcount(m.refcount),
+      datastart(m.datastart),
+      dataend(m.dataend),
+      offset(m.offset),
+      wholerows(m.wholerows),
+      wholecols(m.wholecols),
+      acl_context(m.acl_context),
+      totalSize(m.totalSize) {
+  flags &= roi.width < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
+  offset += roi.y * step + roi.x * elemSize();
+  CV_Assert(0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.wholecols &&
+            0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.wholerows);
+  if (refcount) CV_XADD(refcount, 1);
+  if (rows <= 0 || cols <= 0) rows = cols = 0;
 
-        /**
+  data = static_cast<void *>((static_cast<uchar *>(m.data) + offset));
-         *  @param [in] roi: Matrix position, Rect(x, y, width, height)
+}
-         *
-         */
-        inline aclMat::aclMat(const aclMat &m, const Rect &roi)
-            : flags(m.flags), rows(roi.height), cols(roi.width), step(m.step), refcount(m.refcount), datastart(m.datastart),
-              dataend(m.dataend), offset(m.offset), wholerows(m.wholerows), wholecols(m.wholecols), acl_context(m.acl_context),
-              totalSize(m.totalSize)
-        {
-            flags &= roi.width < m.cols ? ~Mat::CONTINUOUS_FLAG : -1;
-            offset += roi.y * step + roi.x * elemSize();
-            CV_Assert(0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.wholecols &&
-                      0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.wholerows);
-            if (refcount)
-                CV_XADD(refcount, 1);
-            if (rows <= 0 || cols <= 0)
-                rows = cols = 0;
 
-            data = static_cast<void *>((static_cast<uchar *>(m.data) + offset));
+inline aclMat::aclMat(const Mat &m, aclCxt *_acl_context, ALIGNMENT config,
-        }
+                      MemMallocPolicy policy)
+    : flags(0),
+      rows(m.rows),
+      cols(m.cols),
+      step(0),
+      data(nullptr),
+      refcount(nullptr),
+      datastart(nullptr),
+      dataend(nullptr),
+      offset(0),
+      wholerows(0),
+      wholecols(0),
+      acl_context(_acl_context),
+      totalSize(0) {
+  if (m.rows > 0 && m.cols > 0)
+    create(m.rows, m.cols, m.type(), config, policy);
+  upload(m, config);
+}
 
-        inline aclMat::aclMat(const Mat &m, aclCxt *_acl_context, ALIGNMENT config, MemMallocPolicy policy)
+inline aclMat::~aclMat() {
-            : flags(0), rows(m.rows), cols(m.cols), step(0), data(nullptr), refcount(nullptr), datastart(nullptr),
+  if (refcount) release();
-              dataend(nullptr), offset(0), wholerows(0), wholecols(0), acl_context(_acl_context), totalSize(0)
+}
-        {
-            if (m.rows > 0 && m.cols > 0)
-                create(m.rows, m.cols, m.type(), config, policy);
-            upload(m, config);
-        }
 
-        inline aclMat::~aclMat()
+inline aclMat &aclMat::operator=(const aclMat &m) {
-        {
+  if (this != &m) {
-            if (refcount)
+    if (refcount) release();
-                release();
+    flags = m.flags;
-        }
+    rows = m.rows;
+    cols = m.cols;
+    step = m.step;
+    datastart = m.datastart;
+    dataend = m.dataend;
+    offset = m.offset;
+    wholerows = m.wholerows;
+    wholecols = m.wholecols;
+    refcount = m.refcount;
+    acl_context = m.acl_context;
+    totalSize = m.totalSize;
+    data = m.data;
+    if (m.refcount) CV_XADD(m.refcount, 1);
+  }
+  return *this;
+}
 
-        inline aclMat &aclMat::operator=(const aclMat &m)
+inline aclMat &aclMat::operator=(const Mat &m) {
-        {
+  upload(m);
-            if (this != &m)
+  return *this;
-            {
+}
 
-                if (refcount)
+inline aclMat::operator Mat() const {
-                    release();
+  Mat m(rows, cols, type());
-                flags = m.flags;
+  download(m);
-                rows = m.rows;
+  return m;
-                cols = m.cols;
+}
-                step = m.step;
-                datastart = m.datastart;
-                dataend = m.dataend;
-                offset = m.offset;
-                wholerows = m.wholerows;
-                wholecols = m.wholecols;
-                refcount = m.refcount;
-                acl_context = m.acl_context;
-                totalSize = m.totalSize;
-                data = m.data;
-                if (m.refcount)
-                    CV_XADD(m.refcount, 1);
-            }
-            return *this;
-        }
 
-        inline aclMat& aclMat::operator=(const Mat &m)
+inline aclMat aclMat::clone() const {
-        {
+  aclMat m;
-            upload(m);
+  copyTo(m);
-            return *this;
+  return m;
-        }
+}
 
-        inline aclMat::operator Mat() const
+inline void aclMat::copyTo(aclMat &dest) const {
-        {
+  if (this != &dest) {
-            Mat m(rows, cols, type());
+    dest.rows = rows;
-            download(m);
+    dest.cols = cols;
-            return m;
+    dest.step = step;
-        }
+    dest.wholerows = wholerows;
+    dest.wholecols = wholecols;
+    dest.refcount = refcount;
+    dest.acl_context = acl_context;
+    dest.totalSize = totalSize;
 
-        inline aclMat aclMat::clone() const
+    void *dev_ptr;
-        {
+    AclSafeCall(
-            aclMat m;
+        aclrtMalloc(&dev_ptr, totalSize, type_transition(MALLOC_NORMAL_ONLY)));
-            copyTo(m);
+    AclSafeCall(aclrtMemcpy(dev_ptr, totalSize, data, totalSize,
-            return m;
+                            ACL_MEMCPY_DEVICE_TO_DEVICE));
-        }
 
-        inline void aclMat::copyTo(aclMat& dest) const
+    dest.data = dev_ptr;
-        {
+    dest.datastart = static_cast<uchar *>(data);
-            if (this != &dest)
+    dest.dataend = static_cast<uchar *>(data) + totalSize;
-            {
+    dest.refcount = static_cast<int *>(fastMalloc(sizeof(*refcount)));
-                dest.rows = rows;
+    *refcount = 0;
-                dest.cols = cols;
+    CV_XADD(refcount, 1);
-                dest.step = step;
+    dest.flags |= Mat::CONTINUOUS_FLAG;
-                dest.wholerows = wholerows;
+  }
-                dest.wholecols = wholecols;
+}
-                dest.refcount = refcount;
-                dest.acl_context = acl_context;
-                dest.totalSize = totalSize;
 
-                void *dev_ptr;
+inline aclMat aclMat::row(int y) const {
-                AclSafeCall(aclrtMalloc(&dev_ptr, totalSize, type_transition(MALLOC_NORMAL_ONLY)));
+  return aclMat(*this, Range(y, y + 1), Range::all());
-                AclSafeCall(aclrtMemcpy(dev_ptr, totalSize, data, totalSize, ACL_MEMCPY_DEVICE_TO_DEVICE));
+}
 
-                dest.data = dev_ptr;
+inline aclMat aclMat::col(int x) const {
-                dest.datastart = static_cast<uchar *>(data);
+  return aclMat(*this, Range::all(), Range(x, x + 1));
-                dest.dataend = static_cast<uchar *>(data) + totalSize;
+}
-                dest.refcount = static_cast<int *>(fastMalloc(sizeof(*refcount)));
-                *refcount = 0;
-                CV_XADD(refcount, 1);
-                dest.flags |= Mat::CONTINUOUS_FLAG;
-            }
-        }
 
-        inline aclMat aclMat::row(int y) const
+inline aclMat aclMat::rowRange(int startrow, int endrow) const {
-        {
+  return aclMat(*this, Range(startrow, endrow), Range::all());
-            return aclMat(*this, Range(y, y + 1), Range::all());
+}
-        }
 
-        inline aclMat aclMat::col(int x) const
+inline aclMat aclMat::rowRange(const Range &r) const {
-        {
+  return aclMat(*this, r, Range::all());
-            return aclMat(*this, Range::all(), Range(x, x + 1));
+}
-        }
 
-        inline aclMat aclMat::rowRange(int startrow, int endrow) const
+inline aclMat aclMat::colRange(int startcol, int endcol) const {
-        {
+  return aclMat(*this, Range::all(), Range(startcol, endcol));
-            return aclMat(*this, Range(startrow, endrow), Range::all());
+}
-        }
 
-        inline aclMat aclMat::rowRange(const Range &r) const
+inline aclMat aclMat::colRange(const Range &r) const {
-        {
+  return aclMat(*this, Range::all(), r);
-            return aclMat(*this, r, Range::all());
+}
-        }
 
-        inline aclMat aclMat::colRange(int startcol, int endcol) const
+inline void aclMat::locateROI(Size &wholeSize, Point &ofs) const {
-        {
+  size_t esz = elemSize();
-            return aclMat(*this, Range::all(), Range(startcol, endcol));
+  CV_DbgAssert(step > 0);
-        }
+  if (offset == 0)
+    ofs.x = ofs.y = 0;
+  else {
+    ofs.y = (int)(offset / step);
+    ofs.x = (int)((offset - step * ofs.y) / esz);
+    CV_DbgAssert(data == (datastart + ofs.y * step + ofs.x * esz));
+  }
+  wholeSize.height = wholerows;
+  wholeSize.width = wholecols;
+}
 
-        inline aclMat aclMat::colRange(const Range &r) const
+inline aclMat &aclMat::adjustROI(int dtop, int dbottom, int dleft, int dright) {
-        {
+  Size wholeSize;
-            return aclMat(*this, Range::all(), r);
+  Point ofs;
-        }
+  size_t esz = elemSize();
+  locateROI(wholeSize, ofs);
+  int row1 = std::max(ofs.y - dtop, 0),
+      row2 = std::min(ofs.y + rows + dbottom, wholeSize.height);
+  int col1 = std::max(ofs.x - dleft, 0),
+      col2 = std::min(ofs.x + cols + dright, wholeSize.width);
+  offset += (row1 - ofs.y) * step + (col1 - ofs.x) * esz;
+  rows = row2 - row1;
+  cols = col2 - col1;
+  if (esz * cols == step || rows == 1)
+    flags |= Mat::CONTINUOUS_FLAG;
+  else
+    flags &= ~Mat::CONTINUOUS_FLAG;
 
-        inline void aclMat::locateROI( Size &wholeSize, Point &ofs ) const
+  data = static_cast<void *>((static_cast<uchar *>(datastart) + offset));
-        {
+  return *this;
-            size_t esz = elemSize();
+}
-            CV_DbgAssert(step > 0);
-            if(offset == 0)
-                ofs.x = ofs.y = 0;
-            else
-            {
-                ofs.y = (int)(offset / step);
-                ofs.x = (int)((offset - step * ofs.y) / esz);
-                CV_DbgAssert(data == (datastart + ofs.y * step + ofs.x * esz));
-            }
-            wholeSize.height = wholerows;
-            wholeSize.width = wholecols;
-        }
 
-        inline aclMat &aclMat::adjustROI( int dtop, int dbottom, int dleft, int dright )
+inline void aclMat::swap(aclMat &b) {
-        {
+  std::swap(flags, b.flags);
-            Size wholeSize;
+  std::swap(rows, b.rows);
-            Point ofs;
+  std::swap(cols, b.cols);
-            size_t esz = elemSize();
+  std::swap(step, b.step);
-            locateROI( wholeSize, ofs );
+  std::swap(data, b.data);
-            int row1 = std::max(ofs.y - dtop, 0), row2 = std::min(ofs.y + rows + dbottom, wholeSize.height);
+  std::swap(datastart, b.datastart);
-            int col1 = std::max(ofs.x - dleft, 0), col2 = std::min(ofs.x + cols + dright, wholeSize.width);
+  std::swap(dataend, b.dataend);
-            offset += (row1 - ofs.y) * step + (col1 - ofs.x) * esz;
+  std::swap(refcount, b.refcount);
-            rows = row2 - row1;
+  std::swap(offset, b.offset);
-            cols = col2 - col1;
+  std::swap(wholerows, b.wholerows);
-            if( esz * cols == step || rows == 1 )
+  std::swap(wholecols, b.wholecols);
-                flags |= Mat::CONTINUOUS_FLAG;
+  std::swap(acl_context, b.acl_context);
-            else
+  std::swap(totalSize, b.totalSize);
-                flags &= ~Mat::CONTINUOUS_FLAG;
+}
 
-            data = static_cast<void *>((static_cast<uchar *>(datastart) + offset));
+inline aclMat aclMat::operator()(Range rRange, Range cRange) const {
-            return *this;
+  return aclMat(*this, rRange, cRange);
-        }
+}
 
-        inline void aclMat::swap(aclMat &b)
+inline aclMat aclMat::operator()(const Rect &roi) const {
-        {
+  return aclMat(*this, roi);
-            std::swap( flags, b.flags );
+}
-            std::swap( rows, b.rows );
-            std::swap( cols, b.cols );
-            std::swap( step, b.step );
-            std::swap( data, b.data );
-            std::swap( datastart, b.datastart );
-            std::swap( dataend, b.dataend );
-            std::swap( refcount, b.refcount );
-            std::swap( offset, b.offset );
-            std::swap( wholerows, b.wholerows );
-            std::swap( wholecols, b.wholecols );
-            std::swap( acl_context, b.acl_context);
-            std::swap( totalSize, b.totalSize);
-        }
 
-        inline aclMat aclMat::operator()( Range rRange, Range cRange ) const
+inline bool aclMat::isContinuous() const {
-        {
+  return (flags & Mat::CONTINUOUS_FLAG) != 0;
-            return aclMat(*this, rRange, cRange);
+}
-        }
 
-        inline aclMat aclMat::operator()( const Rect &roi ) const
+inline size_t aclMat::elemSize() const {
-        {
+  return CV_ELEM_SIZE((CV_MAKE_TYPE(type(), channels())));
-            return aclMat(*this, roi);
+}
-        }
 
-        inline bool aclMat::isContinuous() const
+inline size_t aclMat::elemSize1() const { return CV_ELEM_SIZE1(flags); }
-        {
-            return (flags & Mat::CONTINUOUS_FLAG) != 0;
-        }
 
-        inline size_t aclMat::elemSize() const
+inline int aclMat::type() const { return CV_MAT_TYPE(flags); }
-        {
-            return CV_ELEM_SIZE((CV_MAKE_TYPE(type(), channels())));
-        }
 
-        inline size_t aclMat::elemSize1() const
+inline int aclMat::acltype() const {
-        {
+  return CV_MAKE_TYPE(depth(), aclchannels());
-            return CV_ELEM_SIZE1(flags);
+}
-        }
 
-        inline int aclMat::type() const
+inline int aclMat::depth() const { return CV_MAT_DEPTH(flags); }
-        {
-            return CV_MAT_TYPE(flags);
-        }
 
-        inline int aclMat::acltype() const
+inline int aclMat::channels() const { return CV_MAT_CN(flags); }
-        {
-            return CV_MAKE_TYPE(depth(), aclchannels());
-        }
 
-        inline int aclMat::depth() const
+inline int aclMat::aclchannels() const {
-        {
+  return (CV_MAT_CN(flags)) == 3 ? 4 : (CV_MAT_CN(flags));
-            return CV_MAT_DEPTH(flags);
+}
-        }
 
-        inline int aclMat::channels() const
+inline size_t aclMat::step1() const { return step / elemSize1(); }
-        {
-            return CV_MAT_CN(flags);
-        }
 
-        inline int aclMat::aclchannels() const
+inline Size aclMat::size() const { return Size(cols, rows); }
-        {
-            return (CV_MAT_CN(flags)) == 3 ? 4 : (CV_MAT_CN(flags));
-        }
 
-        inline size_t aclMat::step1() const
+inline bool aclMat::empty() const { return data == 0; }
-        {
-            return step / elemSize1();
-        }
 
-        inline Size aclMat::size() const
+inline void swap(aclMat &a, aclMat &b) { a.swap(b); }
-        {
-            return Size(cols, rows);
-        }
 
-        inline bool aclMat::empty() const
+inline void ensureSizeIsEnough(int rows, int cols, int type, aclMat &m,
-        {
+                               ALIGNMENT config) {
-            return data == 0;
+  if (m.type() == type && m.rows >= rows && m.cols >= cols)
-        }
+    m = m(Rect(0, 0, cols, rows));
+  else
+    m.create(rows, cols, type, config);
+}
 
-        inline void swap( aclMat &a, aclMat &b )
+inline void ensureSizeIsEnough(Size size, int type, ALIGNMENT config,
-        {
+                               aclMat &m) {
-            a.swap(b);
+  ensureSizeIsEnough(size.height, size.width, type, m, config);
-        }
+}
 
-        inline void ensureSizeIsEnough(int rows, int cols, int type, aclMat &m, ALIGNMENT config)
+} /* end of namespace acl */
-        {
-            if (m.type() == type && m.rows >= rows && m.cols >= cols)
-                m = m(Rect(0, 0, cols, rows));
-            else
-                m.create(rows, cols, type, config);
-        }
-
-        inline void ensureSizeIsEnough(Size size, int type, ALIGNMENT config, aclMat &m)
-        {
-            ensureSizeIsEnough(size.height, size.width, type, m, config);
-        }
-
-    } /* end of namespace acl */
 
 } /* end of namespace cv */
 

acl/include/opencv2/acl/mathfuncs.hpp

@@ -7,20 +7,23 @@
  *   mathfunctions;
  */
 
-namespace cv
+namespace cv {
-{
+namespace acl {
-    namespace acl
+CV_EXPORTS aclMat abs(const aclMat &src, int stream_id = 0);
-    {
+CV_EXPORTS void pow(const aclMat &src, double power, aclMat &dest,
-        CV_EXPORTS aclMat abs(const aclMat &src, int stream_id = 0);
+                    int stream_id = 0);
-        CV_EXPORTS void pow(const aclMat &src, double power, aclMat &dest, int stream_id = 0);
+CV_EXPORTS void sqrt(const aclMat &src, aclMat &dest, int stream_id = 0);
-        CV_EXPORTS void sqrt(const aclMat &src, aclMat &dest, int stream_id = 0);
+CV_EXPORTS void add(const aclMat &src, const aclMat &other_src, aclMat &dest,
-        CV_EXPORTS void add(const aclMat &src, const aclMat &other_src, aclMat &dest, int stream_id = 0);
+                    int stream_id = 0);
-        CV_EXPORTS void divide(const aclMat &src, const aclMat &other_src, aclMat &dest, int stream_id = 0);
+CV_EXPORTS void divide(const aclMat &src, const aclMat &other_src, aclMat &dest,
-        CV_EXPORTS void exp(const aclMat &src, aclMat &dest, int stream_id = 0);
+                       int stream_id = 0);
-        CV_EXPORTS void log(const aclMat &src, aclMat &dest, int stream_id = 0);
+CV_EXPORTS void exp(const aclMat &src, aclMat &dest, int stream_id = 0);
-        CV_EXPORTS void max(const aclMat &src, const aclMat &other_src, aclMat &dest, int stream_id = 0);
+CV_EXPORTS void log(const aclMat &src, aclMat &dest, int stream_id = 0);
-        CV_EXPORTS void min(const aclMat &src, const aclMat &other_src, aclMat &dest, int stream_id = 0);
+CV_EXPORTS void max(const aclMat &src, const aclMat &other_src, aclMat &dest,
-    } /* end of namespace acl */
+                    int stream_id = 0);
+CV_EXPORTS void min(const aclMat &src, const aclMat &other_src, aclMat &dest,
+                    int stream_id = 0);
+} /* end of namespace acl */
 
 } /* end of namespace cv */
 

acl/include/opencv2/acl/matrices.hpp

@@ -3,20 +3,17 @@
 
 #include "acl_mat.hpp"
 
-namespace cv
+namespace cv {
-{
+namespace acl {
-    namespace acl
+// Multiple channel merge
-    {
+CV_EXPORTS void merge(const std::vector<aclMat> &mv, aclMat &dst, int stream_id = 0);
-        // Matrix lookup table
+// Split into channels
-        //CV_EXPORTS void lookUpTable(const aclMat& src, const aclMat& lut, aclMat& dst);
+CV_EXPORTS void split(const aclMat &src, std::vector<aclMat> &mv, int stream_id = 0);
-        // Multiple channel merge
+// Matrix transpose
-        CV_EXPORTS void merge(const vector<aclMat>& mv, aclMat& dst, int stream_id = 0);
+CV_EXPORTS void transpose(const aclMat &src, aclMat &dest, int stream_id = 0);
-        // Split into channels 
+CV_EXPORTS void flip(const aclMat &src, aclMat &dest, int flipCode = 0,
-        CV_EXPORTS void split(const aclMat& src, vector<aclMat>& mv, int stream_id = 0);
+                     int stream_id = 0);
-        // Matrix transpose
+} /* end of namespace acl */
-        CV_EXPORTS void transpose(const aclMat& src, aclMat& dest, int stream_id = 0);
-        CV_EXPORTS void flip(const aclMat& src, aclMat& dest, int flipCode = 0, int stream_id = 0);
-    } /* end of namespace acl */
 
 } /* end of namespace cv */
 

acl/include/opencv2/acl/operator_desc.hpp

@@ -4,90 +4,96 @@
 #include <string>
 #include <vector>
 
-#include "acl_type.hpp"
+#include "acl/acl.h"
 #include "acl_init.hpp"
 #include "acl_mat.hpp"
-#include "acl/acl.h"
+#include "acl_type.hpp"
 
-namespace cv
+namespace cv {
-{
+namespace acl {
-    namespace acl
+class CV_EXPORTS OperatorDesc {
-    {
+ public:
-       class CV_EXPORTS OperatorDesc
+  /**
-       {
+   * Constructor
-       public:
+   * @param [in] opType: op type
-              /**
+   */
-              * Constructor
+  OperatorDesc(std::string opType);
-              * @param [in] opType: op type
-              */
-              OperatorDesc(std::string opType);
 
-              /**
+  /**
-              * Destructor
+   * Destructor
-              */
+   */
-              virtual ~OperatorDesc();
+  virtual ~OperatorDesc();
 
-              /**
+  /**
-               * Add an input tensor description
+   * Add an input tensor description
-               * @param [in] dataType: data type
+   * @param [in] dataType: data type
-               * @param [in] numDims: number of dims
+   * @param [in] numDims: number of dims
-               * @param [in] dims: dims
+   * @param [in] dims: dims
-               * @param [in] format: format
+   * @param [in] format: format
-               * @return OperatorDesc
+   * @return OperatorDesc
-               */
+   */
-              OperatorDesc &AddInputTensorDesc(aclDataType dataType, int numDims, const int64_t *dims, aclFormat format);
+  OperatorDesc &AddInputTensorDesc(aclDataType dataType, int numDims,
+                                   const int64_t *dims, aclFormat format);
 
-              /**
+  /**
-               * Add an output tensor description
+   * Add an output tensor description
-               * @param [in] dataType: data type
+   * @param [in] dataType: data type
-               * @param [in] numDims: number of dims
+   * @param [in] numDims: number of dims
-               * @param [in] dims: dims
+   * @param [in] dims: dims
-               * @param [in] format: format
+   * @param [in] format: format
-               * @return OperatorDesc
+   * @return OperatorDesc
-               */
+   */
-              OperatorDesc &AddOutputTensorDesc(aclDataType dataType, int numDims, const int64_t *dims, aclFormat format);
+  OperatorDesc &AddOutputTensorDesc(aclDataType dataType, int numDims,
+                                    const int64_t *dims, aclFormat format);
 
-              template <typename T>
+  template <typename T>
-              bool AddTensorAttr(const char *attrName, AttrType type, T vaule)
+  bool AddTensorAttr(const char *attrName, AttrType type, T vaule) {
-              {
+    if (opAttr == nullptr) return false;
-                  if (opAttr == nullptr)
+    switch (type) {
-                      return false;
+      case OP_BOOL:
-                  switch (type)
+        aclopSetAttrBool(opAttr, attrName, vaule);
-                  {
+        break;
-                  case OP_BOOL:
+      case OP_INT:
-                         aclopSetAttrBool(opAttr, attrName, vaule);
+        aclopSetAttrInt(opAttr, attrName, vaule);
-                         break;
+        break;
-                  case OP_INT:
+      case OP_FLOAT:
-                         aclopSetAttrInt(opAttr, attrName, vaule);
+        aclopSetAttrFloat(opAttr, attrName, vaule);
-                         break;
+        break;
-                  case OP_FLOAT:
+      default:
-                         aclopSetAttrFloat(opAttr, attrName, vaule);
+        break;
-                         break;
+    }
-                  default:
+    return true;
-                         break;
+  }
-                  }
+  std::string opType;
-                  return true;
+  std::vector<aclTensorDesc *> inputDesc;
-              }
+  std::vector<aclTensorDesc *> outputDesc;
-              std::string opType;
+  aclopAttr *opAttr;
-              std::vector<aclTensorDesc *> inputDesc;
+};
-              std::vector<aclTensorDesc *> outputDesc;
-              aclopAttr *opAttr;
-       };
 
+// Create operator description
+CV_EXPORTS OperatorDesc CreateOpDesc(const std::string opType,
+                                     const std::vector<aclMat> &input_Mat,
+                                     std::vector<aclMat> &output_Mat,
+                                     aclFormat format = ACL_FORMAT_NHWC,
+                                     Opdims config = FOUR_DIMS);
+// Compile and run the operator
+CV_EXPORTS void compileAndRunop(OperatorDesc &opDesc,
+                                std::vector<aclDataBuffer *> &inputBuffers_,
+                                std::vector<aclDataBuffer *> &outputBuffers_,
+                                aclCxt *acl_context, int stream_id);
+// Suitable for one input and one output
+CV_EXPORTS void OneInAndOneOut(const aclMat &input, aclMat &output,
+                               const std::string opType, int stream_id = 0);
+// Suitable for tow input and one output
+CV_EXPORTS void TwoInAndOneOut(const aclMat &inputMat,
+                               const aclMat &inputMatOther, aclMat &outputMat,
+                               const std::string opType, int stream_id = 0);
+// run the operator
+CV_EXPORTS void Runop(std::vector<aclMat> &input, std::vector<aclMat> &output,
+                      OperatorDesc &opDesc, int stream_id);
 
-       // Create operator description
+} /* end of namespace acl */
-       CV_EXPORTS OperatorDesc CreateOpDesc(const string opType, const vector<aclMat> &input_Mat, vector<aclMat> &output_Mat, aclFormat format = ACL_FORMAT_NHWC, Opdims config = FOUR_DIMS);
-       // Compile and run the operator
-       CV_EXPORTS void compileAndRunop(OperatorDesc &opDesc, vector<aclDataBuffer *> &inputBuffers_, vector<aclDataBuffer *> &outputBuffers_, aclCxt *acl_context, int stream_id);
-       // Suitable for one input and one output
-       CV_EXPORTS void OneInAndOneOut(const aclMat &input, aclMat &output, const string opType, int stream_id = 0);
-       // Suitable for tow input and one output
-       CV_EXPORTS void TwoInAndOneOut(const aclMat &inputMat, const aclMat &inputMatOther, aclMat &outputMat, const string opType, int stream_id = 0);
-       // run the operator
-       CV_EXPORTS void Runop(vector<aclMat> &input, vector<aclMat> &output, OperatorDesc &opDesc, int stream_id);
-
-    } /* end of namespace acl */
 
 } /* end of namespace cv */
 
-#endif // OPERATOR_DESC_HPP
+#endif  // OPERATOR_DESC_HPP

acl/src/acl_init.cpp

@@ -1,8 +1,9 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
+/* M///////////////////////////////////////////////////////////////////////////////////////
 //
 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 //
-//  By downloading, copying, installing or using the software you agree to this license.
+//  By downloading, copying, installing or using the software you agree to this
+license.
 //  If you do not agree to this license, do not download, install,
 //  copy or use the software.
 //
@@ -10,28 +11,35 @@
 //                           License Agreement
 //                For Open Source Computer Vision Library
 //
-// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
+// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science,
+all rights reserved.
 // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
 // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
 // Third party copyrights are property of their respective owners.
 //
-// Redistribution and use in source and binary forms, with or without modification,
+// Redistribution and use in source and binary forms, with or without
+modification,
 // are permitted provided that the following conditions are met:
 //
 //   * Redistribution's of source code must retain the above copyright notice,
 //     this list of conditions and the following disclaimer.
 //
-//   * Redistribution's in binary form must reproduce the above copyright notice,
+//   * Redistribution's in binary form must reproduce the above copyright
+notice,
 //     this list of conditions and the following disclaimer in the documentation
 //     and/or other materials provided with the distribution.
 //
-//   * The name of the copyright holders may not be used to endorse or promote products
+//   * The name of the copyright holders may not be used to endorse or promote
+products
 //     derived from this software without specific prior written permission.
 //
-// This software is provided by the copyright holders and contributors "as is" and
+// This software is provided by the copyright holders and contributors "as is"
+and
 // any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// warranties of merchantability and fitness for a particular purpose are
-// In no event shall the Intel Corporation or contributors be liable for any direct,
+disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any
+direct,
 // indirect, incidental, special, exemplary, or consequential damages
 // (including, but not limited to, procurement of substitute goods or services;
 // loss of use, data, or profits; or business interruption) however caused
@@ -39,85 +47,74 @@
 // or tort (including negligence or otherwise) arising in any way out of
 // the use of this software, even if advised of the possibility of such damage.
 //
-//M*/
+//M */
 #include "precomp.hpp"
 
+using namespace std;
+using namespace cv;
+using namespace cv::acl;
+namespace cv {
+namespace acl {
+///////////////////////////aclEnv//////////////////////////////////
+static Mutex *__initmutex = NULL;
+Mutex &getInitMutex() {
+  if (__initmutex == NULL) __initmutex = new Mutex();
+  return *__initmutex;
+}
 
+aclEnv *global_aclenv = nullptr;
+aclEnv *aclEnv::get_acl_env(const char *config_path) {
+  if (nullptr == global_aclenv) {
+    AutoLock lock(getInitMutex());
+    if (nullptr == global_aclenv) global_aclenv = new aclEnv(config_path);
+  }
+  return global_aclenv;
+}
 
-namespace cv
+void wait_stream(aclCxt *acl_context, const int stream_id) {
-{
+  aclrtSynchronizeStream(acl_context->get_stream(stream_id));
-    namespace acl
+}
-    {
-        ///////////////////////////aclEnv//////////////////////////////////
-        static Mutex *__initmutex = NULL;
-        Mutex &getInitMutex()
-        {
-            if (__initmutex == NULL)
-                __initmutex = new Mutex();
-            return *__initmutex;
-        }
 
-        aclEnv *global_aclenv = nullptr;
+/////////////////////////create acl context////////////////////////
-        aclEnv* aclEnv::get_acl_env(const char* config_path)
+/**
-        {
+ *  @brief: set device and stream
-            if (nullptr == global_aclenv)
+ *  @param [in] config_path: ajson path
-            {
+ *  @param [in] device_id: device id
-                AutoLock lock(getInitMutex());
+ *  @param [in] stream_count: stream count
-                if (nullptr == global_aclenv)
+ */
-                    global_aclenv = new aclEnv(config_path);
+aclCxt *set_device(const char *config_path, int device_id, int stream_count) {
-            }
+  aclEnv *acl_env = aclEnv::get_acl_env(config_path);
-            return global_aclenv;
+  if (global_aclenv->refcount) {
-        }
+    AutoLock lock(getInitMutex());
+    CV_XADD(global_aclenv->refcount, 1);
+  }
+  int device_count = acl_env->get_device_count();
+  CV_Assert(device_id < device_count);
 
-        void wait_stream(aclCxt * acl_context, const int stream_id)
+  aclCxt *acl_context = new aclCxt(device_id);
-        {
+  acl_context->set_current_context();
-            aclrtSynchronizeStream(acl_context->get_stream(stream_id));
+  acl_context->create_stream(stream_count);
-        }
 
-        /////////////////////////create acl context////////////////////////
+  clog << "set_device() is success" << endl;
-        /**
+  return acl_context;
-         *  @brief: set device and stream 
+}
-         *  @param [in] config_path: ajson path
-         *  @param [in] device_id: device id
-         *  @param [in] stream_count: stream count
-         */
-        aclCxt *set_device(const char* config_path, int device_id, int stream_count)
-        {
-            aclEnv *acl_env = aclEnv::get_acl_env(config_path);
-            if (global_aclenv->refcount) {
-                AutoLock lock(getInitMutex());
-                CV_XADD(global_aclenv->refcount, 1);
-            }
-            int device_count = acl_env->get_device_count();
-            CV_Assert(device_id < device_count);
 
-            aclCxt *acl_context = new aclCxt(device_id);
+void release_device(aclCxt *context) {
-            acl_context->set_current_context();
+  CV_Assert(context);
-            acl_context->create_stream(stream_count);
+  delete context;
+  context = nullptr;
+  if (global_aclenv->refcount) {
+    AutoLock lock(getInitMutex());
+    CV_XADD(global_aclenv->refcount, -1);
 
-            clog << "set_device() is success" << endl;
+    if (*(global_aclenv->refcount) == 0) {
-            return acl_context;
+      delete global_aclenv;
-        }
+      global_aclenv = nullptr;
+    }
+  }
+  clog << "release_device() is success" << endl;
+}
 
-        void release_device(aclCxt* context)
+} /* end of namespace acl */
-        {
-            CV_Assert(context);
-            delete context;
-            context = nullptr;
-            if (global_aclenv->refcount)
-            {
-                AutoLock lock(getInitMutex());
-                CV_XADD(global_aclenv->refcount, -1);
-                
-                if (*(global_aclenv->refcount) == 0)
-                {
-                    delete global_aclenv;
-                    global_aclenv = nullptr;
-                }
-            }
-            clog << "release_device() is success" << endl;
-        }
-
-    } /* end of namespace acl */
 
 } /* end of namespace cv */

acl/src/acl_mat.cpp

@@ -1,216 +1,213 @@
 #include "precomp.hpp"
 
-
 #define ALIGN 64
 
-namespace cv
+using namespace std;
-{
+using namespace cv;
-    namespace acl
+using namespace cv::acl;
-    {
+namespace cv {
-        /* Memory alignment */
+namespace acl {
-        static inline size_t alignSize(size_t sz, int n = ALIGN);
+/* Memory alignment */
+static inline size_t alignSize(size_t sz, int n = ALIGN);
 
-        void aclMat::upload(const Mat &m, ALIGNMENT config)
+void aclMat::upload(const Mat &m, ALIGNMENT config) {
-        {
+  CV_Assert((config == ALIGNMENT::MEMORY_ALIGN) ||
-            CV_Assert((config == ALIGNMENT::MEMORY_ALIGN) || (config == ALIGNMENT::MEMORY_UNALIGNED));
+            (config == ALIGNMENT::MEMORY_UNALIGNED));
-            if (config == ALIGNMENT::MEMORY_UNALIGNED)
+  if (config == ALIGNMENT::MEMORY_UNALIGNED) {
-            {
+    CV_Assert(m.data && (this->step == m.step) && (this->rows == m.rows) &&
-                CV_Assert(m.data && (this->step == m.step) && (this->rows == m.rows) && (this->cols == m.cols) && (this->type() == m.type()));
+              (this->cols == m.cols) && (this->type() == m.type()));
-                aclrtMemcpy((void *)this->data, (m.step * m.rows), (void *)m.data, (m.step * m.rows), ACL_MEMCPY_HOST_TO_DEVICE);
+    aclrtMemcpy((void *)this->data, (m.step * m.rows), (void *)m.data,
-            }
+                (m.step * m.rows), ACL_MEMCPY_HOST_TO_DEVICE);
-            else if (config == ALIGNMENT::MEMORY_ALIGN)
+  } else if (config == ALIGNMENT::MEMORY_ALIGN) {
-            {
+    CV_Assert(m.data && (this->rows == m.rows) && (this->cols == m.cols) &&
-                CV_Assert(m.data && (this->rows == m.rows) && (this->cols == m.cols) && (this->type() == m.type()));
+              (this->type() == m.type()));
-                aclrtMemcpy2d((void *)this->data, this->step, (void *)m.data, m.step, m.cols * m.elemSize(), m.rows, ACL_MEMCPY_HOST_TO_DEVICE);
+    aclrtMemcpy2d((void *)this->data, this->step, (void *)m.data, m.step,
-            }
+                  m.cols * m.elemSize(), m.rows, ACL_MEMCPY_HOST_TO_DEVICE);
-        }
+  }
+}
 
-        void aclMat::upload(const Mat &m, aclStream stream, ALIGNMENT config)
+void aclMat::upload(const Mat &m, aclStream stream, ALIGNMENT config) {
-        {
+  CV_Assert((config == ALIGNMENT::MEMORY_ALIGN) ||
-            CV_Assert((config == ALIGNMENT::MEMORY_ALIGN) || (config == ALIGNMENT::MEMORY_UNALIGNED));
+            (config == ALIGNMENT::MEMORY_UNALIGNED));
-            if (config == ALIGNMENT::MEMORY_UNALIGNED)
+  if (config == ALIGNMENT::MEMORY_UNALIGNED) {
-            {
+    CV_Assert(m.data && (this->step == m.step) && (this->rows == m.rows) &&
-                CV_Assert(m.data && (this->step == m.step) && (this->rows == m.rows) && (this->cols == m.cols) && (this->type() == m.type()));
+              (this->cols == m.cols) && (this->type() == m.type()));
-                aclrtMemcpyAsync((void *)this->data, this->totalSize, (void *)m.data, (m.step * m.rows), ACL_MEMCPY_HOST_TO_DEVICE, stream);
+    aclrtMemcpyAsync((void *)this->data, this->totalSize, (void *)m.data,
-            }
+                     (m.step * m.rows), ACL_MEMCPY_HOST_TO_DEVICE, stream);
-            else if (config == ALIGNMENT::MEMORY_ALIGN)
+  } else if (config == ALIGNMENT::MEMORY_ALIGN) {
-            {
+    CV_Assert(m.data && (this->rows == m.rows) && (this->cols == m.cols) &&
-                CV_Assert(m.data && (this->rows == m.rows) && (this->cols == m.cols) && (this->type() == m.type()));
+              (this->type() == m.type()));
-                aclrtMemcpy2dAsync((void *)this->data, this->step, (void *)m.data, m.step, m.cols * m.elemSize(), m.rows, ACL_MEMCPY_HOST_TO_DEVICE, stream);
+    aclrtMemcpy2dAsync((void *)this->data, this->step, (void *)m.data, m.step,
-            }
+                       m.cols * m.elemSize(), m.rows, ACL_MEMCPY_HOST_TO_DEVICE,
-	        AclSafeCall(aclrtSynchronizeStream(stream));
+                       stream);
-        }
+  }
+  AclSafeCall(aclrtSynchronizeStream(stream));
+}
 
+void aclMat::download(Mat &m, ALIGNMENT config) const {
+  CV_Assert((config == ALIGNMENT::MEMORY_ALIGN) ||
+            (config == ALIGNMENT::MEMORY_UNALIGNED));
+  if (config == ALIGNMENT::MEMORY_UNALIGNED) {
+    CV_Assert(m.data && (this->step == m.step) && (this->rows == m.rows) &&
+              (this->cols == m.cols) && (this->type() == m.type()));
+    aclrtMemcpy((void *)m.data, (m.step * m.rows), (void *)(this->data),
+                (m.step * m.rows), ACL_MEMCPY_DEVICE_TO_HOST);
+  } else if (config == ALIGNMENT::MEMORY_ALIGN) {
+    CV_Assert(m.data && (this->rows == m.rows) && (this->cols == m.cols) &&
+              (this->type() == m.type()));
+    aclrtMemcpy2d((void *)m.data, m.step, (void *)(this->data), this->step,
+                  this->cols * this->elemSize(), this->rows,
+                  ACL_MEMCPY_DEVICE_TO_HOST);
+  }
+  return;
+}
 
-        void aclMat::download(Mat &m, ALIGNMENT config) const
+void aclMat::download(Mat &m, aclStream stream, ALIGNMENT config) const {
-        {
+  CV_Assert((config == ALIGNMENT::MEMORY_ALIGN) ||
-            CV_Assert((config == ALIGNMENT::MEMORY_ALIGN) || (config == ALIGNMENT::MEMORY_UNALIGNED));
+            (config == ALIGNMENT::MEMORY_UNALIGNED));
-            if (config == ALIGNMENT::MEMORY_UNALIGNED)
+  if (config == ALIGNMENT::MEMORY_UNALIGNED) {
-            {
+    CV_Assert(m.data && (this->step == m.step) && (this->rows == m.rows) &&
-                CV_Assert(m.data && (this->step == m.step) && (this->rows == m.rows) && (this->cols == m.cols) && (this->type() == m.type()));
+              (this->cols == m.cols) && (this->type() == m.type()));
-                aclrtMemcpy((void *)m.data, (m.step * m.rows), (void *)(this->data), (m.step * m.rows), ACL_MEMCPY_DEVICE_TO_HOST);
+    aclrtMemcpyAsync((void *)m.data, (m.step * m.rows), (void *)(this->data),
-            }
+                     this->totalSize, ACL_MEMCPY_DEVICE_TO_HOST, stream);
-            else if (config == ALIGNMENT::MEMORY_ALIGN)
+  } else if (config == ALIGNMENT::MEMORY_ALIGN) {
-            {
+    CV_Assert(m.data && (this->rows == m.rows) && (this->cols == m.cols) &&
-                CV_Assert(m.data && (this->rows == m.rows) && (this->cols == m.cols) && (this->type() == m.type()));
+              (this->type() == m.type()));
-                aclrtMemcpy2d((void *)m.data, m.step, (void *)(this->data), this->step, this->cols * this->elemSize(), this->rows, ACL_MEMCPY_DEVICE_TO_HOST);
+    aclrtMemcpy2dAsync((void *)m.data, m.step, (void *)(this->data), this->step,
-            }
+                       this->cols * this->elemSize(), this->rows,
-            return;
+                       ACL_MEMCPY_DEVICE_TO_HOST, stream);
-        }
+  }
+  AclSafeCall(aclrtSynchronizeStream(stream));
+  return;
+}
 
-        void aclMat::download(Mat &m, aclStream stream, ALIGNMENT config) const
+void aclMat::create(int _rows, int _cols, int _type, ALIGNMENT config,
-        {
+                    MemMallocPolicy policy) {
-            CV_Assert((config == ALIGNMENT::MEMORY_ALIGN) || (config == ALIGNMENT::MEMORY_UNALIGNED));
+  createEx(_rows, _cols, _type, config, policy);
-            if (config == ALIGNMENT::MEMORY_UNALIGNED)
+}
-            {
-                CV_Assert(m.data && (this->step == m.step) && (this->rows == m.rows) && (this->cols == m.cols) && (this->type() == m.type()));
-                aclrtMemcpyAsync((void *)m.data, (m.step * m.rows), (void *)(this->data), this->totalSize, ACL_MEMCPY_DEVICE_TO_HOST, stream);
-            }
-            else if (config == ALIGNMENT::MEMORY_ALIGN)
-            {
-                CV_Assert(m.data && (this->rows == m.rows) && (this->cols == m.cols) && (this->type() == m.type()));
-                aclrtMemcpy2dAsync((void *)m.data, m.step, (void *)(this->data), this->step, this->cols * this->elemSize(), this->rows, ACL_MEMCPY_DEVICE_TO_HOST, stream);
-            }
-	        AclSafeCall(aclrtSynchronizeStream(stream));
-            return;
-        }
 
-        void aclMat::create(int _rows, int _cols, int _type, ALIGNMENT config, MemMallocPolicy policy)
+void aclMat::create(Size size, int type, ALIGNMENT config,
-        {
+                    MemMallocPolicy policy) {
-            createEx(_rows, _cols, _type, config, policy);
+  createEx(size, type, config, policy);
-        }
+}
 
-        void aclMat::create(Size size, int type, ALIGNMENT config, MemMallocPolicy policy)
+inline size_t alignSize(size_t sz, int n) { return (((sz) + n - 1) / n) * n; }
-        {
-            createEx(size, type, config, policy);
-        }
 
-        inline size_t alignSize(size_t sz, int n)
+/* core logic */
-        {
+void aclMat::createEx(int _rows, int _cols, int _type, ALIGNMENT config,
-            return (((sz) + n - 1) / n ) * n;
+                      MemMallocPolicy policy) {
-        }
+  /* TO ENSURE */
+  //_type &= CV_MAT_TYPE_MASK;
+  _type &= TYPE_MASK;
+  if (rows == _rows && cols == _cols && type() == _type && data) return;
 
-        /* core logic */
+  if (data) release();
-        void aclMat::createEx(int _rows, int _cols, int _type, ALIGNMENT config, MemMallocPolicy policy)
-        {
-            /* TO ENSURE */
-            //_type &= CV_MAT_TYPE_MASK;
-            _type &= TYPE_MASK;
-            if (rows == _rows && cols == _cols && type() == _type && data)
-                return;
 
-            if (data)
+  CV_DbgAssert(_rows >= 0 && _cols >= 0);
-                release();
 
-            CV_DbgAssert(_rows >= 0 && _cols >= 0);
+  if (_rows > 0 && _cols > 0) {
+    /* TO ENSURE */
+    // flags = (_type & CV_MAT_TYPE_MASK) | MAGIC_VAL;
+    flags = Mat::MAGIC_VAL + _type;
+    rows = _rows;
+    cols = _cols;
+    wholerows = _rows;
+    wholecols = _cols;
+    size_t esz = elemSize();
+    void *dev_ptr;
+    if (config == ALIGNMENT::MEMORY_ALIGN) {
+      if (channels() == 3)
+        step = alignSize(cols * esz, ALIGN * channels());
+      else
+        step = alignSize(cols * esz);
+    } else
+      step = cols * esz;
+    totalSize = step * rows;
 
-            if (_rows > 0 && _cols > 0)
+    AclSafeCall(aclrtMalloc(&dev_ptr, totalSize, type_transition(policy)));
-            {
-                /* TO ENSURE */
-                //flags = (_type & CV_MAT_TYPE_MASK) | MAGIC_VAL;
-                flags = Mat::MAGIC_VAL + _type;
-                rows = _rows;
-                cols = _cols;
-                wholerows = _rows;
-                wholecols = _cols;
-                size_t esz = elemSize();
-                void *dev_ptr;
-                if (config == ALIGNMENT::MEMORY_ALIGN)
-                {
-                    if (channels() == 3)
-                        step = alignSize(cols * esz, ALIGN * channels());
-                    else   
-                        step = alignSize(cols * esz);
-                }
-                else 
-                    step = cols * esz;
-                totalSize = step * rows;
 
-                AclSafeCall(aclrtMalloc(&dev_ptr, totalSize, type_transition(policy)));
+    data = dev_ptr;
+    datastart = static_cast<uchar *>(data);
+    dataend = static_cast<uchar *>(data) + totalSize;
+    refcount = static_cast<int *>(fastMalloc(sizeof(*refcount)));
+    *refcount = 0;
+    CV_XADD(refcount, 1);
+    flags |= Mat::CONTINUOUS_FLAG;
+  }
+}
 
-                data = dev_ptr;
+void aclMat::createEx(Size size, int type, ALIGNMENT config,
-                datastart = static_cast<uchar *>(data);
+                      MemMallocPolicy policy) {
-                dataend = static_cast<uchar *>(data) + totalSize;
+  createEx(size.height, size.width, type, config, policy);
-                refcount = static_cast<int *>(fastMalloc(sizeof(*refcount)));
+}
-                *refcount = 0;
-                CV_XADD(refcount, 1);
-                flags |= Mat::CONTINUOUS_FLAG;
-            }
-        }
 
-        void aclMat::createEx(Size size, int type, ALIGNMENT config, MemMallocPolicy policy)
+void aclMat::release() {
-        {
+  CV_XADD(refcount, -1);
-            createEx(size.height, size.width, type, config, policy);
+  if (data && (*refcount == 0)) {
-        }
+    aclrtFree(data);
+  }
+  data = nullptr;
+  datastart = nullptr;
+  dataend = nullptr;
+}
 
-        void aclMat::release()
+aclMat &aclMat::operator+=(const aclMat &m) {
-        {
+  CV_Assert(this->rows == m.rows && this->cols == m.cols &&
-            CV_XADD(refcount, -1);
+            this->type() == m.type());
-            if (data && (*refcount == 0))
+  TwoInAndOneOut(*this, m, *this, "Add");
-            {
+  return *this;
-                aclrtFree(data);
+}
-            }
-            data = nullptr;
-            datastart = nullptr;
-            dataend = nullptr;
-        }
 
-        aclMat &aclMat::operator+=(const aclMat &m)
+aclMat &aclMat::operator-=(const aclMat &m) {
-        {
+  CV_Assert(this->rows == m.rows && this->cols == m.cols &&
-            CV_Assert(this->rows == m.rows && this->cols == m.cols && this->type() == m.type());
+            this->type() == m.type());
-            TwoInAndOneOut(*this, m, *this, "Add"); 
+  TwoInAndOneOut(*this, m, *this, "Sub");
-            return *this;
+  return *this;
-        }
+}
 
-        aclMat &aclMat::operator-=(const aclMat &m)
+aclMat &aclMat::operator/=(const aclMat &m) {
-        {
+  CV_Assert(this->rows == m.rows && this->cols == m.cols &&
-            CV_Assert(this->rows == m.rows && this->cols == m.cols && this->type() == m.type());
+            this->type() == m.type());
-            TwoInAndOneOut(*this, m, *this, "Sub"); 
+  TwoInAndOneOut(*this, m, *this, "Div");
-            return *this;
+  return *this;
-        }
+}
 
-        aclMat &aclMat::operator/=(const aclMat &m)
+aclMat &aclMat::operator*=(const aclMat &m) {
-        {
+  CV_Assert(this->cols == m.rows && this->type() == m.type());
-            CV_Assert(this->rows == m.rows && this->cols == m.cols && this->type() == m.type());
+  vector<aclMat> input_Mat;
-            TwoInAndOneOut(*this, m, *this, "Div"); 
+  vector<aclMat> output_Mat;
-            return *this;
+  vector<aclDataBuffer *> inputBuffers_;
-        }
+  vector<aclDataBuffer *> outputBuffers_;
+  aclMat newMat{this->rows, m.cols, this->type(), this->acl_context};
 
-        aclMat &aclMat::operator*=(const aclMat &m)
+  input_Mat.emplace_back(*this);
-        {
+  input_Mat.emplace_back(m);
-            CV_Assert(this->cols == m.rows && this->type() == m.type());
+  output_Mat.emplace_back(newMat);
-            vector<aclMat> input_Mat;
-            vector<aclMat> output_Mat;
-            vector<aclDataBuffer *> inputBuffers_;
-            vector<aclDataBuffer *> outputBuffers_;
-            aclMat newMat{this->rows, m.cols, this->type(), this->acl_context};
 
-            input_Mat.emplace_back(*this);
+  OperatorDesc opDesc =
-            input_Mat.emplace_back(m);
+      CreateOpDesc("MatMul", input_Mat, output_Mat, ACL_FORMAT_NHWC, TWO_DIMS);
-            output_Mat.emplace_back(newMat);
+  opDesc.AddInputTensorDesc(ACL_DT_UNDEFINED, 0, nullptr, ACL_FORMAT_UNDEFINED);
+  opDesc.AddTensorAttr("transpose_x1", OP_BOOL, false);
+  opDesc.AddTensorAttr("transpose_x2", OP_BOOL, false);
 
-            OperatorDesc opDesc = CreateOpDesc("MatMul", input_Mat, output_Mat, ACL_FORMAT_NHWC, TWO_DIMS);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(this->data, this->totalSize));
-            opDesc.AddInputTensorDesc(ACL_DT_UNDEFINED, 0, nullptr, ACL_FORMAT_UNDEFINED);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(m.data, m.totalSize));
-            opDesc.AddTensorAttr("transpose_x1", OP_BOOL, false);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(nullptr, 0));
-            opDesc.AddTensorAttr("transpose_x2", OP_BOOL, false);
+  outputBuffers_.emplace_back(
+      aclCreateDataBuffer(newMat.data, newMat.totalSize));
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(this->data, this->totalSize));
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, this->acl_context, 0);
-            inputBuffers_.emplace_back(aclCreateDataBuffer(m.data, m.totalSize));
-            inputBuffers_.emplace_back(aclCreateDataBuffer(nullptr, 0));
-            outputBuffers_.emplace_back(aclCreateDataBuffer(newMat.data, newMat.totalSize));
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, this->acl_context, 0);
+  *this = newMat;
 
-            *this = newMat;
+  for (size_t i = 0; i < inputBuffers_.size(); i++)
+    AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+  for (size_t i = 0; i < outputBuffers_.size(); i++)
+    AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
 
-            for (size_t i = 0; i < inputBuffers_.size(); i++)
+  return *this;
-                AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+}
-            for (size_t i = 0; i < outputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
 
-            return *this;
+} /* end of namespace acl */
-        }
-
-    } /* end of namespace acl */
 
 } /* end of namespace cv */

acl/src/gemm.cpp

@@ -1,88 +1,103 @@
 #include "precomp.hpp"
 
-namespace cv
+using namespace std;
-{
+using namespace cv;
-    namespace acl
+using namespace cv::acl;
-    {
+namespace cv {
-        /**
+namespace acl {
-         * @brief: matrix multiplication  
+/**
-         * 
+ * @brief: matrix multiplication
-         */
+ *
-        void MatMul(const aclMat& src1, const aclMat& src2, aclMat& dest, int stream_id)
+ */
-        {
+void MatMul(const aclMat& src1, const aclMat& src2, aclMat& dest,
-            CV_Assert(src1.cols == src2.rows && src1.type() == src2.type());
+            int stream_id) {
-            vector<aclMat> input_Mat;
+  CV_Assert(src1.cols == src2.rows && src1.type() == src2.type());
-            vector<aclMat> output_Mat;
+  vector<aclMat> input_Mat;
-            vector<aclDataBuffer *> inputBuffers_;
+  vector<aclMat> output_Mat;
-            vector<aclDataBuffer *> outputBuffers_;
+  vector<aclDataBuffer*> inputBuffers_;
+  vector<aclDataBuffer*> outputBuffers_;
 
-            input_Mat.emplace_back(src1);
+  input_Mat.emplace_back(src1);
-            input_Mat.emplace_back(src2);
+  input_Mat.emplace_back(src2);
-            output_Mat.emplace_back(dest);
+  output_Mat.emplace_back(dest);
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src1.data, src1.totalSize));
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src1.data, src1.totalSize));
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src2.data, src2.totalSize));
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src2.data, src2.totalSize));
-            inputBuffers_.emplace_back(aclCreateDataBuffer(nullptr, 0));
+  inputBuffers_.emplace_back(aclCreateDataBuffer(nullptr, 0));
-            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
+  outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
 
-            OperatorDesc opDesc = CreateOpDesc("MatMul", input_Mat, output_Mat, ACL_FORMAT_NHWC, TWO_DIMS);
+  OperatorDesc opDesc =
-            opDesc.AddInputTensorDesc(ACL_DT_UNDEFINED, 0, nullptr, ACL_FORMAT_UNDEFINED);
+      CreateOpDesc("MatMul", input_Mat, output_Mat, ACL_FORMAT_NHWC, TWO_DIMS);
-            opDesc.AddTensorAttr("transpose_x1", OP_BOOL, false);
+  opDesc.AddInputTensorDesc(ACL_DT_UNDEFINED, 0, nullptr, ACL_FORMAT_UNDEFINED);
-            opDesc.AddTensorAttr("transpose_x2", OP_BOOL, false);
+  opDesc.AddTensorAttr("transpose_x1", OP_BOOL, false);
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context, stream_id);
+  opDesc.AddTensorAttr("transpose_x2", OP_BOOL, false);
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context,
+                  stream_id);
 
-            for (size_t i = 0; i < inputBuffers_.size(); i++)
+  for (size_t i = 0; i < inputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+    AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
-            for (size_t i = 0; i < outputBuffers_.size(); i++)
+  for (size_t i = 0; i < outputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
+    AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
-        }
+}
 
-        /**
+/**
-         * @brief convolution
+ * @brief convolution
-         * @param [in] src: characteristic matrix 
+ * @param [in] src: characteristic matrix
-         * @param [in] kernel: convolution kernel
+ * @param [in] kernel: convolution kernel
-         * @param [in] dest: destination matrix
+ * @param [in] dest: destination matrix
-         * @param [in] stridesList: strides, The N and C dimensions must be set to 1
+ * @param [in] stridesList: strides, The N and C dimensions must be set to 1
-         * @param [in] padSList: pads, vector<int64_t>(top, bottom, left, right)
+ * @param [in] padSList: pads, vector<int64_t>(top, bottom, left, right)
-         */
+ */
-        void Convolution(const aclMat& src, const aclMat& kernel, aclMat& dest, const vector<int64_t>& stridesList, const vector<int64_t>& padsList, int stream_id)
+void Convolution(const aclMat& src, const aclMat& kernel, aclMat& dest,
-        {
+                 const vector<int64_t>& stridesList,
-            vector<aclDataBuffer *> inputBuffers_;
+                 const vector<int64_t>& padsList, int stream_id) {
-            vector<aclDataBuffer *> outputBuffers_;
+  vector<aclDataBuffer*> inputBuffers_;
-            vector<int64_t> dilationsList{1, 1, 1, 1};
+  vector<aclDataBuffer*> outputBuffers_;
-            string opType = "Conv2D";
+  vector<int64_t> dilationsList{1, 1, 1, 1};
-            int dest_rows = (src.rows + padsList[0] + padsList[1] - (1 * (kernel.rows - 1) + 1)) / stridesList[2] + 1;
+  string opType = "Conv2D";
-            int dest_cols = (src.cols + padsList[2] + padsList[3] - (1 * (kernel.cols - 1) + 1)) / stridesList[3] + 1;
+  int dest_rows =
-            aclMat acl_dest{dest_rows, dest_cols, src.type(), src.acl_context};
+      (src.rows + padsList[0] + padsList[1] - (1 * (kernel.rows - 1) + 1)) /
+          stridesList[2] +
+      1;
+  int dest_cols =
+      (src.cols + padsList[2] + padsList[3] - (1 * (kernel.cols - 1) + 1)) /
+          stridesList[3] +
+      1;
+  aclMat acl_dest{dest_rows, dest_cols, src.type(), src.acl_context};
 
-            vector<int64_t> shape{1, 1, src.rows, src.cols};
+  vector<int64_t> shape{1, 1, src.rows, src.cols};
-            vector<int64_t> shape1{1, 1, kernel.rows, kernel.cols};
+  vector<int64_t> shape1{1, 1, kernel.rows, kernel.cols};
-            vector<int64_t> shape2{1, 1, acl_dest.rows, acl_dest.cols};
+  vector<int64_t> shape2{1, 1, acl_dest.rows, acl_dest.cols};
 
-            aclDataType dataType = type_transition(src.depth());
+  aclDataType dataType = type_transition(src.depth());
-            aclFormat format = ACL_FORMAT_NCHW;
+  aclFormat format = ACL_FORMAT_NCHW;
-            OperatorDesc opDesc(opType);
+  OperatorDesc opDesc(opType);
-            opDesc.AddInputTensorDesc(dataType, shape.size(), shape.data(), format);
+  opDesc.AddInputTensorDesc(dataType, shape.size(), shape.data(), format);
-            opDesc.AddInputTensorDesc(dataType, shape1.size(), shape1.data(), format);
+  opDesc.AddInputTensorDesc(dataType, shape1.size(), shape1.data(), format);
-            opDesc.AddOutputTensorDesc(dataType, shape2.size(), shape2.data(), format);
+  opDesc.AddOutputTensorDesc(dataType, shape2.size(), shape2.data(), format);
 
-            auto opAttr = opDesc.opAttr;
+  auto opAttr = opDesc.opAttr;
-            aclopSetAttrListInt(opAttr, "strides", stridesList.size(), stridesList.data());
+  aclopSetAttrListInt(opAttr, "strides", stridesList.size(),
-            aclopSetAttrListInt(opAttr, "pads", padsList.size(), padsList.data());
+                      stridesList.data());
-            aclopSetAttrListInt(opAttr, "dilations", dilationsList.size(), dilationsList.data());
+  aclopSetAttrListInt(opAttr, "pads", padsList.size(), padsList.data());
+  aclopSetAttrListInt(opAttr, "dilations", dilationsList.size(),
+                      dilationsList.data());
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
-            inputBuffers_.emplace_back(aclCreateDataBuffer(kernel.data, kernel.totalSize));
+  inputBuffers_.emplace_back(
-            outputBuffers_.emplace_back(aclCreateDataBuffer(acl_dest.data, acl_dest.totalSize));
+      aclCreateDataBuffer(kernel.data, kernel.totalSize));
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, src.acl_context, stream_id);
+  outputBuffers_.emplace_back(
-            acl_dest.data = aclGetDataBufferAddr(outputBuffers_[0]);
+      aclCreateDataBuffer(acl_dest.data, acl_dest.totalSize));
-            dest = acl_dest;
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, src.acl_context,
+                  stream_id);
+  acl_dest.data = aclGetDataBufferAddr(outputBuffers_[0]);
+  dest = acl_dest;
 
-            for (size_t i = 0; i < inputBuffers_.size(); i++)
+  for (size_t i = 0; i < inputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+    AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
-            for (size_t i = 0; i < outputBuffers_.size(); i++)
+  for (size_t i = 0; i < outputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
+    AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
-        }
+}
-    } /* end of namespace acl */
+} /* end of namespace acl */
 
 } /* end of namespace cv */

acl/src/mathfuncs.cpp

@@ -1,224 +1,224 @@
 #include "precomp.hpp"
 
-namespace cv
+using namespace std;
-{
+using namespace cv;
-    namespace acl
+using namespace cv::acl;
-    {
+namespace cv {
-        aclMat abs(const aclMat& a, int stream_id) 
+namespace acl {
-        {
+aclMat abs(const aclMat &a, int stream_id) {
-            aclMat dest(a.rows, a.cols, a.type(), a.acl_context);
+  aclMat dest(a.rows, a.cols, a.type(), a.acl_context);
-            OneInAndOneOut(a, dest, "Abs", stream_id);
+  OneInAndOneOut(a, dest, "Abs", stream_id);
-            return dest; 
+  return dest;
-        }
+}
 
-        static void *power_data(double power, aclDataType type, size_t powersize)
+static void *power_data(double power, aclDataType type, size_t powersize) {
-        {
+  void *dev_ptr;
-            void *dev_ptr;
 
-            switch(type)
+  switch (type) {
-            {
+    case ACL_UINT8: {
-            case ACL_UINT8:
+      aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
-            {
+      uchar power_8u = uchar(power);
-                aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
+      aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_8u), powersize,
-                uchar power_8u = uchar(power);
+                  ACL_MEMCPY_HOST_TO_DEVICE);
-                aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_8u), powersize, ACL_MEMCPY_HOST_TO_DEVICE);
+      return dev_ptr;
-                return dev_ptr;
+    }
-            }
+    case ACL_INT8: {
-            case ACL_INT8:
+      aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
-            {
+      char power_8s = char(power);
-                aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
+      aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_8s), powersize,
-                char power_8s = char(power);
+                  ACL_MEMCPY_HOST_TO_DEVICE);
-                aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_8s), powersize, ACL_MEMCPY_HOST_TO_DEVICE);
+      return dev_ptr;
-                return dev_ptr;
+    }
-            }
+    case ACL_FLOAT16: {
-            case ACL_FLOAT16:
+      aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
-            {
+      float16_t power_16f = float16_t(power);
-                aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
+      aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_16f),
-                float16_t power_16f = float16_t(power);
+                  powersize, ACL_MEMCPY_HOST_TO_DEVICE);
-                aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_16f), powersize, ACL_MEMCPY_HOST_TO_DEVICE);
+      return dev_ptr;
-                return dev_ptr;
+    }
-            }
+    case ACL_INT32: {
-            case ACL_INT32:
+      aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
-            {
+      int power_32s = int(power);
-                aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
+      aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_32s),
-                int power_32s = int(power);
+                  powersize, ACL_MEMCPY_HOST_TO_DEVICE);
-                aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_32s), powersize, ACL_MEMCPY_HOST_TO_DEVICE);
+      return dev_ptr;
-                return dev_ptr;
+    }
-            }
+    case ACL_FLOAT: {
-            case ACL_FLOAT:
+      aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
-            {
+      float power_32f = float(power);
-                aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
+      aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_32f),
-                float power_32f = float(power);
+                  powersize, ACL_MEMCPY_HOST_TO_DEVICE);
-                aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_32f), powersize, ACL_MEMCPY_HOST_TO_DEVICE);
+      return dev_ptr;
-                return dev_ptr;
+    }
-            }
+    case ACL_DOUBLE: {
-            case ACL_DOUBLE:
+      aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
-            {
+      double power_64f = double(power);
-                aclrtMalloc(&dev_ptr, powersize, ACL_MEM_MALLOC_NORMAL_ONLY);
+      aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_64f),
-                double power_64f = double(power);
+                  powersize, ACL_MEMCPY_HOST_TO_DEVICE);
-                aclrtMemcpy(dev_ptr, powersize, static_cast<void *>(&power_64f), powersize, ACL_MEMCPY_HOST_TO_DEVICE);
+      return dev_ptr;
-                return dev_ptr;
+    }
-            }
+    default:
-            default:
+      return nullptr;
-                return nullptr;
+  }
-            }
+}
 
-        }
+void pow(const aclMat &src, double power, aclMat &dest, int stream_id) {
+  vector<aclMat> input_Mat;
+  vector<aclMat> output_Mat;
+  vector<aclDataBuffer *> inputBuffers_;
+  vector<aclDataBuffer *> outputBuffers_;
 
-        void pow(const aclMat& src, double power, aclMat& dest, int stream_id)
+  aclDataType dataType = type_transition(src.depth());
-        {
-            vector<aclMat> input_Mat;
-            vector<aclMat> output_Mat;
-            vector<aclDataBuffer *> inputBuffers_;
-            vector<aclDataBuffer *> outputBuffers_;
 
-            aclDataType dataType = type_transition(src.depth());
+  input_Mat.emplace_back(src);
+  output_Mat.emplace_back(dest);
 
-            input_Mat.emplace_back(src);
+  OperatorDesc opDesc = CreateOpDesc("Pow", input_Mat, output_Mat);
-            output_Mat.emplace_back(dest);
+  vector<int64_t> shape2{1};
+  opDesc.AddInputTensorDesc(dataType, shape2.size(), shape2.data(),
+                            ACL_FORMAT_NHWC);
 
-            OperatorDesc opDesc = CreateOpDesc("Pow", input_Mat, output_Mat);
+  size_t size = aclGetTensorDescSize(opDesc.inputDesc[1]);
-            vector<int64_t> shape2{1};
+  void *power_dev = power_data(power, dataType, size);
-            opDesc.AddInputTensorDesc(dataType, shape2.size(), shape2.data(), ACL_FORMAT_NHWC);
 
-            size_t size = aclGetTensorDescSize(opDesc.inputDesc[1]);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
-            void *power_dev = power_data(power, dataType, size);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(power_dev, size));
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
+  outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
-            inputBuffers_.emplace_back(aclCreateDataBuffer(power_dev, size));
 
-            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context,
+                  stream_id);
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context, stream_id);
+  aclrtFree(power_dev);
+  for (size_t i = 0; i < inputBuffers_.size(); i++)
+    AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+  for (size_t i = 0; i < outputBuffers_.size(); i++)
+    AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
+}
 
-            aclrtFree(power_dev);
+void add(const aclMat &src, const aclMat &other_src, aclMat &dest,
-            for (size_t i = 0; i < inputBuffers_.size(); i++)
+         int stream_id) {
-                AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+  bool is_correct;
-            for (size_t i = 0; i < outputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
-        }
 
-        void add(const aclMat& src, const aclMat& other_src, aclMat& dest, int stream_id)
+  is_correct = (src.rows == other_src.rows);
-        {
+  is_correct &= (src.rows == dest.rows);
-            bool is_correct;
+  is_correct &= (src.cols == other_src.cols);
+  is_correct &= (src.cols == dest.cols);
+  is_correct &= (src.type() == other_src.type());
+  is_correct &= (src.type() == dest.type());
+  CV_Assert(is_correct);
 
-            is_correct = (src.rows == other_src.rows);
+  TwoInAndOneOut(src, other_src, dest, "Add", stream_id);
-            is_correct &= (src.rows == dest.rows);
+}
-            is_correct &= (src.cols == other_src.cols);
-            is_correct &= (src.cols == dest.cols);
-            is_correct &= (src.type() == other_src.type());
-            is_correct &= (src.type() == dest.type());
-            CV_Assert(is_correct);
 
-            TwoInAndOneOut(src, other_src, dest, "Add", stream_id); 
+void divide(const aclMat &src, const aclMat &other_src, aclMat &dest,
-        }
+            int stream_id) {
+  bool is_correct;
 
-        void divide(const aclMat& src, const aclMat& other_src, aclMat& dest, int stream_id)
+  is_correct = (src.rows == other_src.rows);
-        {
+  is_correct &= (src.rows == dest.rows);
-            bool is_correct;
+  is_correct &= (src.cols == other_src.cols);
+  is_correct &= (src.cols == dest.cols);
+  is_correct &= (src.type() == other_src.type());
+  is_correct &= (src.type() == dest.type());
+  CV_Assert(is_correct);
 
-            is_correct = (src.rows == other_src.rows);
+  TwoInAndOneOut(src, other_src, dest, "Div", stream_id);
-            is_correct &= (src.rows == dest.rows);
+}
-            is_correct &= (src.cols == other_src.cols);
-            is_correct &= (src.cols == dest.cols);
-            is_correct &= (src.type() == other_src.type());
-            is_correct &= (src.type() == dest.type());
-            CV_Assert(is_correct);
 
-            TwoInAndOneOut(src, other_src, dest, "Div", stream_id); 
+void exp(const aclMat &src, aclMat &dest, int stream_id) {
-        }
+  CV_Assert(src.rows == dest.rows && src.cols == dest.cols &&
+            src.type() == dest.type());
 
-        void exp(const aclMat& src, aclMat& dest, int stream_id)
+  vector<aclMat> input_Mat;
-        {
+  vector<aclMat> output_Mat;
-            CV_Assert(src.rows == dest.rows && src.cols == dest.cols && src.type() == dest.type());
 
-            vector<aclMat> input_Mat;
+  vector<aclDataBuffer *> inputBuffers_;
-            vector<aclMat> output_Mat;
+  vector<aclDataBuffer *> outputBuffers_;
 
-            vector<aclDataBuffer *> inputBuffers_;
+  input_Mat.emplace_back(src);
-            vector<aclDataBuffer *> outputBuffers_;
+  output_Mat.emplace_back(dest);
 
-            input_Mat.emplace_back(src);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
-            output_Mat.emplace_back(dest);
+  outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
+  OperatorDesc opDesc = CreateOpDesc("Exp", input_Mat, output_Mat);
-            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
+  opDesc.AddTensorAttr("base", OP_FLOAT, -1.0);
+  opDesc.AddTensorAttr("scale", OP_FLOAT, 1.0);
+  opDesc.AddTensorAttr("shift", OP_FLOAT, 0.0);
 
-            OperatorDesc opDesc = CreateOpDesc("Exp", input_Mat, output_Mat);
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context,
-            opDesc.AddTensorAttr("base", OP_FLOAT, -1.0);
+                  stream_id);
-            opDesc.AddTensorAttr("scale", OP_FLOAT, 1.0);
-            opDesc.AddTensorAttr("shift", OP_FLOAT, 0.0);
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context, stream_id);
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
+  AclSafeCall(aclDestroyDataBuffer(outputBuffers_[0]));
+}
 
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
+void log(const aclMat &src, aclMat &dest, int stream_id) {
-            AclSafeCall(aclDestroyDataBuffer(outputBuffers_[0]));
+  CV_Assert(src.rows == dest.rows && src.cols == dest.cols &&
-        }
+            src.type() == dest.type());
 
-        void log(const aclMat &src, aclMat &dest, int stream_id)
+  vector<aclMat> input_Mat;
-        {
+  vector<aclMat> output_Mat;
-            CV_Assert(src.rows == dest.rows && src.cols == dest.cols && src.type() == dest.type());
 
-            vector<aclMat> input_Mat;
+  vector<aclDataBuffer *> inputBuffers_;
-            vector<aclMat> output_Mat;
+  vector<aclDataBuffer *> outputBuffers_;
 
-            vector<aclDataBuffer *> inputBuffers_;
+  input_Mat.emplace_back(src);
-            vector<aclDataBuffer *> outputBuffers_;
+  output_Mat.emplace_back(dest);
 
-            input_Mat.emplace_back(src);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
-            output_Mat.emplace_back(dest);
+  outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
+  OperatorDesc opDesc = CreateOpDesc("Log", input_Mat, output_Mat);
-            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
+  opDesc.AddTensorAttr("base", OP_FLOAT, -1.0);
+  opDesc.AddTensorAttr("scale", OP_FLOAT, 1.0);
+  opDesc.AddTensorAttr("shift", OP_FLOAT, 0.0);
 
-            OperatorDesc opDesc = CreateOpDesc("Log", input_Mat, output_Mat);
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context,
-            opDesc.AddTensorAttr("base", OP_FLOAT, -1.0);
+                  stream_id);
-            opDesc.AddTensorAttr("scale", OP_FLOAT, 1.0);
-            opDesc.AddTensorAttr("shift", OP_FLOAT, 0.0);
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context, stream_id);
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
+  AclSafeCall(aclDestroyDataBuffer(outputBuffers_[0]));
+}
 
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
+void max(const aclMat &src, const aclMat &other_src, aclMat &dest,
-            AclSafeCall(aclDestroyDataBuffer(outputBuffers_[0]));
+         int stream_id) {
-        }
+  bool is_correct;
 
-        void max(const aclMat &src, const aclMat &other_src, aclMat &dest, int stream_id)
+  is_correct = (src.rows == other_src.rows);
-        {
+  is_correct &= (src.rows == dest.rows);
-            bool is_correct;
+  is_correct &= (src.cols == other_src.cols);
+  is_correct &= (src.cols == dest.cols);
+  is_correct &= (src.type() == other_src.type());
+  is_correct &= (src.type() == dest.type());
+  CV_Assert(is_correct);
 
-            is_correct = (src.rows == other_src.rows);
+  TwoInAndOneOut(src, other_src, dest, "Maximum", stream_id);
-            is_correct &= (src.rows == dest.rows);
+}
-            is_correct &= (src.cols == other_src.cols);
-            is_correct &= (src.cols == dest.cols);
-            is_correct &= (src.type() == other_src.type());
-            is_correct &= (src.type() == dest.type());
-            CV_Assert(is_correct);
 
-            TwoInAndOneOut(src, other_src, dest, "Maximum", stream_id); 
+void min(const aclMat &src, const aclMat &other_src, aclMat &dest,
-        }
+         int stream_id) {
+  bool is_correct;
 
-        void min(const aclMat &src, const aclMat &other_src, aclMat &dest, int stream_id)
+  is_correct = (src.rows == other_src.rows);
-        {
+  is_correct &= (src.rows == dest.rows);
-            bool is_correct;
+  is_correct &= (src.cols == other_src.cols);
+  is_correct &= (src.cols == dest.cols);
+  is_correct &= (src.type() == other_src.type());
+  is_correct &= (src.type() == dest.type());
+  CV_Assert(is_correct);
 
-            is_correct = (src.rows == other_src.rows);
+  TwoInAndOneOut(src, other_src, dest, "Minimum", stream_id);
-            is_correct &= (src.rows == dest.rows);
+}
-            is_correct &= (src.cols == other_src.cols);
-            is_correct &= (src.cols == dest.cols);
-            is_correct &= (src.type() == other_src.type());
-            is_correct &= (src.type() == dest.type());
-            CV_Assert(is_correct);
 
-            TwoInAndOneOut(src, other_src, dest, "Minimum", stream_id); 
+void sqrt(const aclMat &src, aclMat &dest, int stream_id) {
-        }
+  CV_Assert(src.rows == dest.rows && src.cols == dest.cols &&
+            src.type() == dest.type());
 
-        void sqrt(const aclMat &src, aclMat &dest, int stream_id)
+  OneInAndOneOut(src, dest, "Sqrt", stream_id);
-        {
+}
-            CV_Assert(src.rows == dest.rows && src.cols == dest.cols && src.type() == dest.type());
 
-            OneInAndOneOut(src, dest, "Sqrt", stream_id);
+} /* end of namespace acl */
-        }
-
-    } /* end of namespace acl */
 
 } /* end of namespace cv */

acl/src/matrices.cpp

@@ -1,60 +1,11 @@
 #include "precomp.hpp"
 
-namespace cv
+using namespace std;
-{
+using namespace cv;
-    namespace acl
+using namespace cv::acl;
-    {
+namespace cv {
-/*
+namespace acl {
-        //disable
+#if 0
-        void lookUpTable(const aclMat& src, const aclMat& lut, aclMat& dest)
-        {
-            bool is_correct;
-            is_correct = ((src.depth() == CV_8U) || (src.depth() == CV_8S));
-            is_correct &= ((lut.depth() == CV_8U) || (lut.depth() == CV_8S));
-            is_correct &= (lut.totalSize == 256);
-            CV_Assert(is_correct);
-
-            vector<aclMat> input_Mat;
-            vector<aclMat> output_Mat;
-            vector<aclDataBuffer *> inputBuffers_;
-            vector<aclDataBuffer *> outputBuffers_;
-
-            uchar keyValue[256];
-            for (int i = 0; i < 256; ++i)
-                keyValue[i] = i;
-            aclMat key(1, 256, src.type(), keyValue, src.acl_context);
-
-            input_Mat.emplace_back(src);
-            input_Mat.emplace_back(key);
-            input_Mat.emplace_back(lut);
-
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
-            inputBuffers_.emplace_back(aclCreateDataBuffer(key.data, key.totalSize));
-            inputBuffers_.emplace_back(aclCreateDataBuffer(lut.data, lut.totalSize));
-
-            aclDataType dataType = type_transition(input_Mat[0].depth());
-            aclFormat format = ACL_FORMAT_NHWC;
-
-            OperatorDesc opDesc("LookupTableImport");
-            vector<int64_t> shape1{src.rows, src.cols * src.channels()};
-            vector<int64_t> shape2{lut.rows, lut.cols * lut.channels()};
-            vector<int64_t> shape3{dest.rows, dest.cols * dest.channels()};
-            opDesc.AddInputTensorDesc(dataType, shape1.size(), shape1.data(), format);
-            opDesc.AddInputTensorDesc(dataType, shape2.size(), shape2.data(), format);
-            opDesc.AddInputTensorDesc(dataType, shape3.size(), shape3.data(), format);
-
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context);
-
-            dest.data = aclGetDataBufferAddr(inputBuffers_[0]);
-
-            for (size_t i = 0; i < inputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
-            for (size_t i = 0; i < outputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
-        }
-*/
-
-/*
         void merge(const vector<aclMat>& mv, aclMat& dest)
         {
             vector<aclDataBuffer *> inputBuffers_;
@@ -66,191 +17,190 @@ namespace cv
             for (size_t i = 0; i < mv.size(); ++i)
             {
                 int cols = mv[i].step/mv[i].elemSize();
-                vector<int64_t> inputShape{1, mv[i].rows, cols, mv[i].channels()};
+                vector<int64_t> inputShape{1, mv[i].rows, cols,
-                opDesc.AddInputTensorDesc(dataType, inputShape.size(), inputShape.data(), ACL_FORMAT_ND);
+   mv[i].channels()}; opDesc.AddInputTensorDesc(dataType, inputShape.size(),
+   inputShape.data(), ACL_FORMAT_ND);
             }
             int cols = dest.step/dest.elemSize();
             vector<int64_t> outputShape{1, dest.rows, cols, dest.channels()};
-            opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(), ACL_FORMAT_ND);
+            opDesc.AddOutputTensorDesc(dataType, outputShape.size(),
+   outputShape.data(), ACL_FORMAT_ND);
 
             for (size_t i = 0; i < opDesc.inputDesc.size(); ++i)
             {
-                inputBuffers_.emplace_back(aclCreateDataBuffer(mv[i].data, mv[i].totalSize));
+                inputBuffers_.emplace_back(aclCreateDataBuffer(mv[i].data,
+   mv[i].totalSize));
             }
-            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
+            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data,
+   dest.totalSize));
 
             aclopSetAttrInt(opDesc.opAttr, "N", mv.size());
             aclopSetAttrInt(opDesc.opAttr, "concat_dim", 3);
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context);
+            compileAndRunop(opDesc, inputBuffers_, outputBuffers_,
+   dest.acl_context);
 
             for (size_t i = 0; i < inputBuffers_.size(); i++)
                 AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
             for (size_t i = 0; i < outputBuffers_.size(); i++)
                 AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
         }
-*/
+#endif    
-        static int merge_type(int depth, int channels)
-        {
-            switch (depth)
-            {
-                case CV_8U:
-                    return CV_8UC(channels);
-                case CV_8S:
-                    return CV_8SC(channels);
-                case CV_32F:
-                    return CV_32FC(channels);
-                case CV_32S:
-                    return CV_32SC(channels);
-                case CV_64F:
-                    return CV_64FC(channels);
-            }
-            return -1;
-        }
 
-        void merge(const vector<aclMat>& mv, aclMat& dest, int stream_id)
+static int merge_type(int depth, int channels) {
-        {
+  switch (depth) {
-            vector<aclDataBuffer *> inputBuffers_;
+    case CV_8U:
-            vector<aclDataBuffer *> outputBuffers_;
+      return CV_8UC(channels);
+    case CV_8S:
+      return CV_8SC(channels);
+    case CV_32F:
+      return CV_32FC(channels);
+    case CV_32S:
+      return CV_32SC(channels);
+    case CV_64F:
+      return CV_64FC(channels);
+  }
+  return -1;
+}
 
-            OperatorDesc opDesc("Concat");
+void merge(const vector<aclMat> &mv, aclMat &dest, int stream_id) {
-            aclDataType dataType = type_transition(mv[0].depth());
+  vector<aclDataBuffer *> inputBuffers_;
+  vector<aclDataBuffer *> outputBuffers_;
 
-            vector<int64_t> inputShape{};
+  OperatorDesc opDesc("Concat");
-            opDesc.AddInputTensorDesc(ACL_INT32, inputShape.size(), inputShape.data(), ACL_FORMAT_ND);
+  aclDataType dataType = type_transition(mv[0].depth());
 
-            for (size_t i = 0; i < mv.size(); ++i)
+  vector<int64_t> inputShape{};
-            {
+  opDesc.AddInputTensorDesc(ACL_INT32, inputShape.size(), inputShape.data(),
-                int cols = mv[i].step/mv[i].elemSize();
+                            ACL_FORMAT_ND);
-                vector<int64_t> inputShape{1, mv[i].rows, cols, mv[i].channels()};
-                opDesc.AddInputTensorDesc(dataType, inputShape.size(), inputShape.data(), ACL_FORMAT_NHWC);
-            }
 
-            int cols = mv[0].step/mv[0].elemSize();
+  for (size_t i = 0; i < mv.size(); ++i) {
-            int channels = mv.size();
+    int cols = mv[i].step / mv[i].elemSize();
-            vector<int64_t> outputShape{1, mv[0].rows, cols, channels};
+    vector<int64_t> inputShape{1, mv[i].rows, cols, mv[i].channels()};
-            opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(), ACL_FORMAT_NHWC);
+    opDesc.AddInputTensorDesc(dataType, inputShape.size(), inputShape.data(),
+                              ACL_FORMAT_NHWC);
+  }
 
-            ino64_t N = mv.size();
+  int cols = mv[0].step / mv[0].elemSize();
-            aclopSetAttrInt(opDesc.opAttr, "N", N);
+  int channels = mv.size();
+  vector<int64_t> outputShape{1, mv[0].rows, cols, channels};
+  opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(),
+                             ACL_FORMAT_NHWC);
 
-            aclSetTensorDescName(opDesc.inputDesc[0], "concat_dim");
+  ino64_t N = mv.size();
+  aclopSetAttrInt(opDesc.opAttr, "N", N);
 
-            aclSetTensorDescName(opDesc.inputDesc[1], "x0");
+  aclSetTensorDescName(opDesc.inputDesc[0], "concat_dim");
-            aclSetTensorDescName(opDesc.inputDesc[2], "x1");
-            if (mv.size() == 3)
-                aclSetTensorDescName(opDesc.inputDesc[3], "x2");
-            else if(mv.size() == 4)
-                aclSetTensorDescName(opDesc.inputDesc[4], "x3");
-            aclSetTensorDescName(opDesc.outputDesc[0], "y");
 
-            void *dev;
+  aclSetTensorDescName(opDesc.inputDesc[1], "x0");
-            int64_t concat_dim = 3;
+  aclSetTensorDescName(opDesc.inputDesc[2], "x1");
-            size_t size = aclGetTensorDescSize(opDesc.inputDesc[0]);
+  if (mv.size() == 3)
-            aclrtMalloc(&dev, size, ACL_MEM_MALLOC_NORMAL_ONLY);
+    aclSetTensorDescName(opDesc.inputDesc[3], "x2");
-            aclrtMemcpy(dev, size, &concat_dim, size, ACL_MEMCPY_HOST_TO_DEVICE);
+  else if (mv.size() == 4)
-            inputBuffers_.emplace_back(aclCreateDataBuffer(dev, size));
+    aclSetTensorDescName(opDesc.inputDesc[4], "x3");
+  aclSetTensorDescName(opDesc.outputDesc[0], "y");
 
-            for (size_t i = 0; i < mv.size(); ++i)
+  void *dev;
-                inputBuffers_.emplace_back(aclCreateDataBuffer(mv[i].data, mv[i].totalSize));
+  int64_t concat_dim = 3;
+  size_t size = aclGetTensorDescSize(opDesc.inputDesc[0]);
+  aclrtMalloc(&dev, size, ACL_MEM_MALLOC_NORMAL_ONLY);
+  aclrtMemcpy(dev, size, &concat_dim, size, ACL_MEMCPY_HOST_TO_DEVICE);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(dev, size));
 
-            int type = merge_type(mv[0].depth(), channels);  
+  for (size_t i = 0; i < mv.size(); ++i)
-            aclMat temp(mv[0].rows, mv[0].cols, type, mv[0].acl_context);
+    inputBuffers_.emplace_back(
-            dest = temp;
+        aclCreateDataBuffer(mv[i].data, mv[i].totalSize));
-            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context, stream_id);
+  int type = merge_type(mv[0].depth(), channels);
+  aclMat temp(mv[0].rows, mv[0].cols, type, mv[0].acl_context);
+  dest = temp;
+  outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
 
-            for (size_t i = 0; i < inputBuffers_.size(); i++)
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context,
-                AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+                  stream_id);
-            for (size_t i = 0; i < outputBuffers_.size(); i++)
-                AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
-
-            aclrtFree(dev);
-        }
 
+  for (size_t i = 0; i < inputBuffers_.size(); i++)
+    AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+  for (size_t i = 0; i < outputBuffers_.size(); i++)
+    AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
 
+  aclrtFree(dev);
+}
 
 /**
  * @brief : Dynamic shape reasoning
  *
  */
 
+void transpose(const aclMat &src, aclMat &dest, int stream_id) {
+  vector<aclDataBuffer *> inputBuffers_;
+  vector<aclDataBuffer *> outputBuffers_;
+  vector<aclDataBuffer *> inputBuffers_host;
 
-        void transpose(const aclMat& src, aclMat& dest, int stream_id)
+  OperatorDesc opDesc("Transpose");
-        {
+  aclDataType dataType = type_transition(src.depth());
-            vector<aclDataBuffer *> inputBuffers_;
-            vector<aclDataBuffer *> outputBuffers_;
-            vector<aclDataBuffer *> inputBuffers_host;
 
-            OperatorDesc opDesc("Transpose");
+  vector<int64_t> inputShape1{1, src.rows, src.cols, src.channels()};
-            aclDataType dataType = type_transition(src.depth());
+  opDesc.AddInputTensorDesc(dataType, inputShape1.size(), inputShape1.data(),
+                            ACL_FORMAT_ND);
 
-            vector<int64_t> inputShape1{1, src.rows, src.cols, src.channels()};
+  vector<int64_t> inputShape2{4};
-            opDesc.AddInputTensorDesc(dataType, inputShape1.size(), inputShape1.data(), ACL_FORMAT_ND);
+  opDesc.AddInputTensorDesc(ACL_INT32, inputShape2.size(), inputShape2.data(),
+                            ACL_FORMAT_ND);
 
-            vector<int64_t> inputShape2{4};
+  vector<int64_t> outputShape{-1, -1, -1, -1};
-            opDesc.AddInputTensorDesc(ACL_INT32, inputShape2.size(), inputShape2.data(), ACL_FORMAT_ND);
+  opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(),
+                             ACL_FORMAT_ND);
 
-            vector<int64_t> outputShape{-1, -1, -1, -1};
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
-            opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(), ACL_FORMAT_ND);
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
+  void *dev;
+  void *perm;
 
-            void *dev;
+  size_t size = aclGetTensorDescSize(opDesc.inputDesc[1]);
-            void *perm;
+  aclrtMalloc(&dev, size, ACL_MEM_MALLOC_NORMAL_ONLY);
+  aclrtMallocHost(&perm, aclGetTensorDescSize(opDesc.inputDesc.data()[1]));
+  ((int *)perm)[0] = 0;
+  ((int *)perm)[1] = 2;
+  ((int *)perm)[2] = 1;
+  ((int *)perm)[3] = 3;
+  aclrtMemcpy(dev, size, perm, size, ACL_MEMCPY_HOST_TO_DEVICE);
+  inputBuffers_.emplace_back(aclCreateDataBuffer(dev, size));
 
-            size_t size = aclGetTensorDescSize(opDesc.inputDesc[1]);
+  AclSafeCall(aclopCompile(opDesc.opType.c_str(), opDesc.inputDesc.size(),
-            aclrtMalloc(&dev, size, ACL_MEM_MALLOC_NORMAL_ONLY);
+                           opDesc.inputDesc.data(), opDesc.outputDesc.size(),
-            aclrtMallocHost(&perm, aclGetTensorDescSize(opDesc.inputDesc.data()[1]));
+                           opDesc.outputDesc.data(), opDesc.opAttr,
-            ((int *)perm)[0] = 0;
+                           ACL_ENGINE_SYS, ACL_COMPILE_SYS, nullptr));
-            ((int *)perm)[1] = 2;
-            ((int *)perm)[2] = 1;
-            ((int *)perm)[3] = 3;
-            aclrtMemcpy(dev, size, perm, size, ACL_MEMCPY_HOST_TO_DEVICE);
-            inputBuffers_.emplace_back(aclCreateDataBuffer(dev, size));
 
-            AclSafeCall(aclopCompile(opDesc.opType.c_str(),
+  void *host_data;
-                            opDesc.inputDesc.size(),
+  size_t host_size = src.totalSize;
-                            opDesc.inputDesc.data(),
+  aclrtMallocHost(&host_data, host_size);
-                            opDesc.outputDesc.size(),
+  aclrtMemcpy(host_data, host_size, src.data, host_size,
-                            opDesc.outputDesc.data(),
+              ACL_MEMCPY_DEVICE_TO_HOST);
-                            opDesc.opAttr,
+  inputBuffers_host.emplace_back(aclCreateDataBuffer(host_data, host_size));
-                            ACL_ENGINE_SYS,
+  inputBuffers_host.emplace_back(aclCreateDataBuffer(perm, size));
-                            ACL_COMPILE_SYS,
-                            nullptr));
 
-            void *host_data;
+  AclSafeCall(aclopInferShape("Transpose", opDesc.inputDesc.size(),
-            size_t host_size = src.totalSize;
+                              opDesc.inputDesc.data(), inputBuffers_host.data(),
-            aclrtMallocHost(&host_data, host_size);
+                              opDesc.outputDesc.size(),
-            aclrtMemcpy(host_data, host_size, src.data, host_size, ACL_MEMCPY_DEVICE_TO_HOST);
+                              opDesc.outputDesc.data(), opDesc.opAttr));
-            inputBuffers_host.emplace_back(aclCreateDataBuffer(host_data, host_size));
+  outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
-            inputBuffers_host.emplace_back(aclCreateDataBuffer(perm, size));
 
-            AclSafeCall(aclopInferShape("Transpose", opDesc.inputDesc.size(), opDesc.inputDesc.data(), \
+  AclSafeCall(aclopExecuteV2(opDesc.opType.c_str(), inputBuffers_.size(),
-                    inputBuffers_host.data(), opDesc.outputDesc.size(), opDesc.outputDesc.data(), opDesc.opAttr));
+                             opDesc.inputDesc.data(), inputBuffers_.data(),
-            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
+                             outputBuffers_.size(), opDesc.outputDesc.data(),
-                
+                             outputBuffers_.data(), opDesc.opAttr,
-            AclSafeCall(aclopExecuteV2(opDesc.opType.c_str(),
+                             dest.acl_context->get_stream(stream_id)));
-                            inputBuffers_.size(),
-                            opDesc.inputDesc.data(),
-                            inputBuffers_.data(),
-                            outputBuffers_.size(),
-                            opDesc.outputDesc.data(),
-                            outputBuffers_.data(),
-                            opDesc.opAttr,
-                            dest.acl_context->get_stream(stream_id)));
-            
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_[1]));
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_host[0]));
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_host[1]));
-            AclSafeCall(aclDestroyDataBuffer(outputBuffers_[0]));
-            AclSafeCall(aclrtFree(dev));
-            AclSafeCall(aclrtFreeHost(perm));
-            AclSafeCall(aclrtFreeHost(host_data));
-        }
 
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_[1]));
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_host[0]));
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_host[1]));
+  AclSafeCall(aclDestroyDataBuffer(outputBuffers_[0]));
+  AclSafeCall(aclrtFree(dev));
+  AclSafeCall(aclrtFreeHost(perm));
+  AclSafeCall(aclrtFreeHost(host_data));
+}
 
 /* transposeD */
 #if 0
@@ -281,65 +231,63 @@ namespace cv
         }
 #endif
 
-        static int split_type(int depth)
+static int split_type(int depth) {
-        {
+  switch (depth) {
-            switch (depth)
+    case CV_8U:
-            {
+      return CV_8UC1;
-                case CV_8U:
+    case CV_8S:
-                    return CV_8UC1;
+      return CV_8SC1;
-                case CV_8S:
+    case CV_32F:
-                    return CV_8SC1;
+      return CV_32FC1;
-                case CV_32F:
+    case CV_32S:
-                    return CV_32FC1;
+      return CV_32SC1;
-                case CV_32S:
+    case CV_64F:
-                    return CV_32SC1;
+      return CV_64FC1;
-                case CV_64F:
+  }
-                    return CV_64FC1;
+  return -1;
-            }
+}
-            return -1;
-        }
 
-        void split(const aclMat& src, vector<aclMat>& mv, int stream_id)
+void split(const aclMat &src, vector<aclMat> &mv, int stream_id) {
-        {
+  vector<aclDataBuffer *> inputBuffers_;
-            vector<aclDataBuffer *> inputBuffers_;
+  vector<aclDataBuffer *> outputBuffers_;
-            vector<aclDataBuffer *> outputBuffers_;
+  int split_dim = 3;
-            int split_dim = 3;
+  int num_split = src.channels();
-            int num_split = src.channels();
 
-            OperatorDesc opDesc("SplitD");
+  OperatorDesc opDesc("SplitD");
-            aclDataType dataType = type_transition(src.depth());
+  aclDataType dataType = type_transition(src.depth());
 
-            int cols = src.step/src.elemSize();
+  int cols = src.step / src.elemSize();
-            vector<int64_t> inputShape1{1, src.rows, cols, src.channels()};
+  vector<int64_t> inputShape1{1, src.rows, cols, src.channels()};
-            opDesc.AddInputTensorDesc(dataType, inputShape1.size(), inputShape1.data(), ACL_FORMAT_ND);
+  opDesc.AddInputTensorDesc(dataType, inputShape1.size(), inputShape1.data(),
+                            ACL_FORMAT_ND);
 
-            for (int i = 0; i < num_split; ++i)
+  for (int i = 0; i < num_split; ++i) {
-            {
+    vector<int64_t> outputShape{1, src.rows, cols, 1};
-                vector<int64_t> outputShape{1, src.rows, cols, 1};
+    opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(),
-                opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(), ACL_FORMAT_ND);
+                               ACL_FORMAT_ND);
-            }
+  }
 
-            auto opAttr = opDesc.opAttr;
+  auto opAttr = opDesc.opAttr;
-            aclopSetAttrInt(opAttr, "split_dim", split_dim);
+  aclopSetAttrInt(opAttr, "split_dim", split_dim);
-            aclopSetAttrInt(opAttr, "num_split", num_split);
+  aclopSetAttrInt(opAttr, "num_split", num_split);
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
 
-            int type = split_type(src.depth());
+  int type = split_type(src.depth());
-            for (int i = 0; i < num_split; ++i)
+  for (int i = 0; i < num_split; ++i) {
-            {
+    aclMat tmp(src.rows, src.cols, type, src.acl_context);
-                aclMat tmp(src.rows, src.cols, type, src.acl_context);
+    mv[i] = tmp;
-                mv[i] = tmp;
+    outputBuffers_.emplace_back(
-                outputBuffers_.emplace_back(aclCreateDataBuffer(mv[i].data, mv[i].totalSize));
+        aclCreateDataBuffer(mv[i].data, mv[i].totalSize));
-            }
+  }
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, src.acl_context, stream_id);
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, src.acl_context,
-
+                  stream_id);
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
-            for (int i = 0; i < num_split; ++i)
-                AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
-        }
 
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
+  for (int i = 0; i < num_split; ++i)
+    AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
+}
 
 #if 0
         //disable
@@ -429,56 +377,57 @@ namespace cv
         }
 #endif
 
-        static void flip_(const aclMat& src, aclMat& dest, int axis, int stream_id)
+static void flip_(const aclMat &src, aclMat &dest, int axis, int stream_id) {
-        {
+  vector<aclDataBuffer *> inputBuffers_;
-            vector<aclDataBuffer *> inputBuffers_;
+  vector<aclDataBuffer *> outputBuffers_;
-            vector<aclDataBuffer *> outputBuffers_;
 
-            OperatorDesc opDesc("ReverseV2");
+  OperatorDesc opDesc("ReverseV2");
-            aclDataType dataType = type_transition(src.depth());
+  aclDataType dataType = type_transition(src.depth());
 
-            vector<int64_t> inputShape1{1, src.rows, src.cols, src.channels()};
+  vector<int64_t> inputShape1{1, src.rows, src.cols, src.channels()};
-            opDesc.AddInputTensorDesc(dataType, inputShape1.size(), inputShape1.data(), ACL_FORMAT_ND);
+  opDesc.AddInputTensorDesc(dataType, inputShape1.size(), inputShape1.data(),
+                            ACL_FORMAT_ND);
 
-            vector<int64_t> inputShape2{1};
+  vector<int64_t> inputShape2{1};
-            opDesc.AddInputTensorDesc(ACL_INT32, inputShape2.size(), inputShape2.data(), ACL_FORMAT_ND);
+  opDesc.AddInputTensorDesc(ACL_INT32, inputShape2.size(), inputShape2.data(),
+                            ACL_FORMAT_ND);
 
-            vector<int64_t> outputShape{1, dest.rows, dest.cols, dest.channels()};
+  vector<int64_t> outputShape{1, dest.rows, dest.cols, dest.channels()};
-            opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(), ACL_FORMAT_ND);
+  opDesc.AddOutputTensorDesc(dataType, outputShape.size(), outputShape.data(),
+                             ACL_FORMAT_ND);
 
-            inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
+  inputBuffers_.emplace_back(aclCreateDataBuffer(src.data, src.totalSize));
 
-            void *dev;
+  void *dev;
-            size_t size = aclGetTensorDescSize(opDesc.inputDesc[1]);
+  size_t size = aclGetTensorDescSize(opDesc.inputDesc[1]);
-            aclrtMalloc(&dev, size, ACL_MEM_MALLOC_NORMAL_ONLY);
+  aclrtMalloc(&dev, size, ACL_MEM_MALLOC_NORMAL_ONLY);
-            aclrtMemcpy(dev, size, &axis, size, ACL_MEMCPY_HOST_TO_DEVICE);
+  aclrtMemcpy(dev, size, &axis, size, ACL_MEMCPY_HOST_TO_DEVICE);
-            inputBuffers_.emplace_back(aclCreateDataBuffer(dev, size));
+  inputBuffers_.emplace_back(aclCreateDataBuffer(dev, size));
 
-            outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
+  outputBuffers_.emplace_back(aclCreateDataBuffer(dest.data, dest.totalSize));
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context, stream_id);
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, dest.acl_context,
+                  stream_id);
 
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_[0]));
-            AclSafeCall(aclDestroyDataBuffer(inputBuffers_[1]));
+  AclSafeCall(aclDestroyDataBuffer(inputBuffers_[1]));
-            AclSafeCall(aclDestroyDataBuffer(outputBuffers_[0]));
+  AclSafeCall(aclDestroyDataBuffer(outputBuffers_[0]));
-            AclSafeCall(aclrtFree(dev));
+  AclSafeCall(aclrtFree(dev));
-        }
+}
 
-        void flip(const aclMat& src, aclMat& dest, int filpCode, int stream_id)
+void flip(const aclMat &src, aclMat &dest, int filpCode, int stream_id) {
-        {
+  if (filpCode == 0) {
-            if (filpCode == 0) {
+    flip_(src, dest, 1, stream_id);
-                flip_(src, dest, 1, stream_id);
+  } else if (filpCode > 0) {
-            }
+    flip_(src, dest, 2, stream_id);
-            else if (filpCode > 0) {
+  } else {
-                flip_(src, dest, 2, stream_id);
+    flip_(src, dest, 2, stream_id);
-            }
+    aclMat tmp(dest.rows, dest.cols, dest.type(), dest.acl_context);
-            else {
+    aclrtMemcpy(tmp.data, dest.totalSize, dest.data, dest.totalSize,
-                flip_(src, dest, 2, stream_id);
+                ACL_MEMCPY_DEVICE_TO_DEVICE);
-                aclMat tmp(dest.rows, dest.cols, dest.type(), dest.acl_context);
+    flip_(tmp, dest, 1, stream_id);
-                aclrtMemcpy(tmp.data, dest.totalSize, dest.data, dest.totalSize, ACL_MEMCPY_DEVICE_TO_DEVICE);
+  }
-                flip_(tmp, dest, 1, stream_id);
+}
-            }
+} /* end of namespace acl */
-        }
-    } /* end of namespace acl */
 
 } /* end of namespace cv */

acl/src/operator_desc.cpp

@@ -1,181 +1,166 @@
 
 /**
-* @file operator_desc.cpp
+ * @file operator_desc.cpp
-*
+ *
-* Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
+ * Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
-*
+ *
-* This program is distributed in the hope that it will be useful,
+ * This program is distributed in the hope that it will be useful,
-* but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
-* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
-*/
+ */
 
 #include "precomp.hpp"
 
 using namespace std;
+using namespace cv;
+using namespace cv::acl;
+namespace cv {
+namespace acl {
+OperatorDesc::OperatorDesc(std::string opType) : opType(std::move(opType)) {
+  opAttr = aclopCreateAttr();
+}
 
-namespace cv
+OperatorDesc::~OperatorDesc() {
-{
+  for (auto* desc : inputDesc) {
-    namespace acl
+    aclDestroyTensorDesc(desc);
-    {
+  }
-        OperatorDesc::OperatorDesc(std::string opType) : opType(std::move(opType))
-        {
-            opAttr = aclopCreateAttr();
-        }
 
-        OperatorDesc::~OperatorDesc()
+  for (auto* desc : outputDesc) {
-        {
+    aclDestroyTensorDesc(desc);
-            for (auto *desc : inputDesc)
+  }
-            {
-                aclDestroyTensorDesc(desc);
-            }
 
-            for (auto *desc : outputDesc)
+  aclopDestroyAttr(opAttr);
-            {
+}
-                aclDestroyTensorDesc(desc);
-            }
 
-            aclopDestroyAttr(opAttr);
+OperatorDesc& OperatorDesc::AddInputTensorDesc(aclDataType dataType,
-        }
+                                               int numDims, const int64_t* dims,
+                                               aclFormat format) {
+  aclTensorDesc* desc = aclCreateTensorDesc(dataType, numDims, dims, format);
+  CV_Assert(desc);
+  inputDesc.emplace_back(desc);
+  return *this;
+}
 
-        OperatorDesc &OperatorDesc::AddInputTensorDesc(aclDataType dataType,
+OperatorDesc& OperatorDesc::AddOutputTensorDesc(aclDataType dataType,
-                                                       int numDims,
+                                                int numDims,
-                                                       const int64_t *dims,
+                                                const int64_t* dims,
-                                                       aclFormat format)
+                                                aclFormat format) {
-        {
+  aclTensorDesc* desc = aclCreateTensorDesc(dataType, numDims, dims, format);
-            aclTensorDesc *desc = aclCreateTensorDesc(dataType, numDims, dims, format);
+  CV_Assert(desc);
-            CV_Assert(desc);
+  outputDesc.emplace_back(desc);
-            inputDesc.emplace_back(desc);
+  return *this;
-            return *this;
+}
-        }
 
-        OperatorDesc &OperatorDesc::AddOutputTensorDesc(aclDataType dataType,
+/**
-                                                        int numDims,
+ * @brief create operator describe
-                                                        const int64_t *dims,
+ *
-                                                        aclFormat format)
+ */
-        {
+OperatorDesc CreateOpDesc(const string opType, const vector<aclMat>& input_Mat,
-            aclTensorDesc *desc = aclCreateTensorDesc(dataType, numDims, dims, format);
+                          vector<aclMat>& output_Mat, aclFormat format,
-            CV_Assert(desc);
+                          Opdims config) {
-            outputDesc.emplace_back(desc);
+  CV_Assert(config == TWO_DIMS || config == FOUR_DIMS);
-            return *this;
-        }
 
-         /**
+  size_t i;
-         * @brief create operator describe
+  aclDataType dataType = type_transition(input_Mat[0].depth());
-         *  
-         */
-        OperatorDesc CreateOpDesc(const string opType, const vector<aclMat>& input_Mat, vector<aclMat>& output_Mat, aclFormat format, Opdims config)
-        {
-            CV_Assert(config == TWO_DIMS || config == FOUR_DIMS);
 
-            size_t i;
+  OperatorDesc opDesc(opType);
-            aclDataType dataType = type_transition(input_Mat[0].depth());
+  for (i = 0; i < input_Mat.size(); ++i) {
+    if (config == TWO_DIMS) {
+      int cols = input_Mat[i].step / input_Mat[i].elemSize();
+      vector<int64_t> shape{input_Mat[i].rows, cols};
+      opDesc.AddInputTensorDesc(dataType, shape.size(), shape.data(), format);
+    } else if (config == FOUR_DIMS) {
+      int cols = input_Mat[i].step / input_Mat[i].elemSize();
+      vector<int64_t> shape{1, input_Mat[i].rows, cols,
+                            input_Mat[i].channels()};
+      opDesc.AddInputTensorDesc(dataType, shape.size(), shape.data(), format);
+    }
+  }
 
-            OperatorDesc opDesc(opType);
+  for (i = 0; i < output_Mat.size(); ++i) {
-            for (i = 0; i < input_Mat.size(); ++i) {
+    if (config == TWO_DIMS) {
-                if (config == TWO_DIMS)
+      int cols = output_Mat[i].step / output_Mat[i].elemSize();
-                {
+      vector<int64_t> shape{output_Mat[i].rows, cols};
-                    int cols = input_Mat[i].step / input_Mat[i].elemSize();
+      opDesc.AddOutputTensorDesc(dataType, shape.size(), shape.data(), format);
-                    vector<int64_t> shape{input_Mat[i].rows, cols};
+    } else if (config == FOUR_DIMS) {
-                    opDesc.AddInputTensorDesc(dataType, shape.size(), shape.data(), format);
+      int cols = output_Mat[i].step / output_Mat[i].elemSize();
-                }
+      vector<int64_t> shape{1, output_Mat[i].rows, cols,
-                else if(config == FOUR_DIMS)
+                            output_Mat[i].channels()};
-                {
+      opDesc.AddOutputTensorDesc(dataType, shape.size(), shape.data(), format);
-                    int cols = input_Mat[i].step / input_Mat[i].elemSize();
+    }
-                    vector<int64_t> shape{1, input_Mat[i].rows, cols, input_Mat[i].channels()};
+  }
-                    opDesc.AddInputTensorDesc(dataType, shape.size(), shape.data(), format);
-                }
-            }
 
-            for (i = 0; i < output_Mat.size(); ++i) {
+  return opDesc;
-                if (config == TWO_DIMS)
+}
-                {
-                    int cols = output_Mat[i].step / output_Mat[i].elemSize();
-                    vector<int64_t> shape{output_Mat[i].rows, cols};
-                    opDesc.AddOutputTensorDesc(dataType, shape.size(), shape.data(), format);
-                }
-                else if(config == FOUR_DIMS)
-                {
-                    int cols = output_Mat[i].step / output_Mat[i].elemSize();
-                    vector<int64_t> shape{1, output_Mat[i].rows, cols, output_Mat[i].channels()};
-                    opDesc.AddOutputTensorDesc(dataType, shape.size(), shape.data(), format);
-                }
-            }
 
-            return opDesc;
+/**
-        }
+ * @brief compile and run operator
+ *
+ */
+void compileAndRunop(OperatorDesc& opDesc,
+                     vector<aclDataBuffer*>& inputBuffers_,
+                     vector<aclDataBuffer*>& outputBuffers_,
+                     aclCxt* acl_context, int stream_id) {
+  AclSafeCall(aclopCompile(opDesc.opType.c_str(), opDesc.inputDesc.size(),
+                           opDesc.inputDesc.data(), opDesc.outputDesc.size(),
+                           opDesc.outputDesc.data(), opDesc.opAttr,
+                           ACL_ENGINE_SYS, ACL_COMPILE_SYS, nullptr));
 
-        /**
+  AclSafeCall(aclopExecuteV2(opDesc.opType.c_str(), inputBuffers_.size(),
-         * @brief compile and run operator
+                             opDesc.inputDesc.data(), inputBuffers_.data(),
-         * 
+                             outputBuffers_.size(), opDesc.outputDesc.data(),
-         */
+                             outputBuffers_.data(), opDesc.opAttr,
-        void compileAndRunop(OperatorDesc& opDesc, vector<aclDataBuffer *>& inputBuffers_, vector<aclDataBuffer *>& outputBuffers_, aclCxt *acl_context, int stream_id)
+                             acl_context->get_stream(stream_id)));
-        {
+}
-                AclSafeCall(aclopCompile(opDesc.opType.c_str(),
-                            opDesc.inputDesc.size(),
-                            opDesc.inputDesc.data(),
-                            opDesc.outputDesc.size(),
-                            opDesc.outputDesc.data(),
-                            opDesc.opAttr,
-                            ACL_ENGINE_SYS,
-                            ACL_COMPILE_SYS,
-                            nullptr));
 
-                AclSafeCall(aclopExecuteV2(opDesc.opType.c_str(),
+void Runop(vector<aclMat>& input, vector<aclMat>& output, OperatorDesc& opDesc,
-                            inputBuffers_.size(),
+           int stream_id) {
-                            opDesc.inputDesc.data(),
+  size_t i;
-                            inputBuffers_.data(),
-                            outputBuffers_.size(),
-                            opDesc.outputDesc.data(),
-                            outputBuffers_.data(),
-                            opDesc.opAttr,
-                            acl_context->get_stream(stream_id)));
-        }
 
-        void Runop(vector<aclMat>& input, vector<aclMat>& output, OperatorDesc& opDesc, int stream_id) 
+  vector<aclDataBuffer*> inputBuffers_;
-        {
+  vector<aclDataBuffer*> outputBuffers_;
-            size_t i;
 
-            vector<aclDataBuffer *> inputBuffers_;
+  for (i = 0; i < input.size(); ++i)
-            vector<aclDataBuffer *> outputBuffers_;
+    inputBuffers_.emplace_back(
+        aclCreateDataBuffer(input[i].data, input[i].totalSize));
+  for (i = 0; i < output.size(); ++i)
+    outputBuffers_.emplace_back(
+        aclCreateDataBuffer(output[i].data, output[i].totalSize));
 
-            for (i = 0; i < input.size(); ++i)
+  compileAndRunop(opDesc, inputBuffers_, outputBuffers_, output[0].acl_context,
-                inputBuffers_.emplace_back(aclCreateDataBuffer(input[i].data, input[i].totalSize));
+                  stream_id);
-            for (i = 0; i < output.size(); ++i)
-                outputBuffers_.emplace_back(aclCreateDataBuffer(output[i].data, output[i].totalSize));
 
-            compileAndRunop(opDesc, inputBuffers_, outputBuffers_, output[0].acl_context, stream_id);
+  for (i = 0; i < input.size(); ++i)
+    AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+  for (i = 0; i < output.size(); ++i)
+    AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
+}
 
-            for (i = 0; i < input.size(); ++i)
+void OneInAndOneOut(const aclMat& inputMat, aclMat& outputMat,
-                AclSafeCall(aclDestroyDataBuffer(inputBuffers_[i]));
+                    const string opType, int stream_id) {
-            for (i = 0; i < output.size(); ++i)
+  vector<aclMat> input_Mat;
-                AclSafeCall(aclDestroyDataBuffer(outputBuffers_[i]));
+  vector<aclMat> output_Mat;
-        }
 
-        void OneInAndOneOut(const aclMat& inputMat, aclMat& outputMat, const string opType, int stream_id)
+  input_Mat.emplace_back(inputMat);
-        {
+  output_Mat.emplace_back(outputMat);
-            vector<aclMat> input_Mat;
-            vector<aclMat> output_Mat;
 
-            input_Mat.emplace_back(inputMat);
+  OperatorDesc opDesc = CreateOpDesc(opType, input_Mat, output_Mat);
-            output_Mat.emplace_back(outputMat);
+  Runop(input_Mat, output_Mat, opDesc, stream_id);
+}
 
-            OperatorDesc opDesc = CreateOpDesc(opType, input_Mat, output_Mat);
+void TwoInAndOneOut(const aclMat& inputMat, const aclMat& inputMatOther,
-            Runop(input_Mat, output_Mat, opDesc, stream_id);
+                    aclMat& outputMat, const string opType, int stream_id) {
-        }
+  vector<aclMat> input_Mat;
+  vector<aclMat> output_Mat;
 
-        void TwoInAndOneOut(const aclMat& inputMat, const aclMat& inputMatOther, aclMat& outputMat, const string opType, int stream_id) 
+  input_Mat.emplace_back(inputMat);
-        {
+  input_Mat.emplace_back(inputMatOther);
-            vector<aclMat> input_Mat;
+  output_Mat.emplace_back(outputMat);
-            vector<aclMat> output_Mat;
 
-            input_Mat.emplace_back(inputMat);
+  OperatorDesc opDesc = CreateOpDesc(opType, input_Mat, output_Mat);
-            input_Mat.emplace_back(inputMatOther);
+  Runop(input_Mat, output_Mat, opDesc, stream_id);
-            output_Mat.emplace_back(outputMat);
+}
 
-            OperatorDesc opDesc = CreateOpDesc(opType, input_Mat, output_Mat);
+} /* end of namespace acl */
-            Runop(input_Mat, output_Mat, opDesc, stream_id);
-        }
-
-    } /* end of namespace acl */
 
 } /* end of namespace cv */

acl/src/precomp.hpp

@@ -1,8 +1,9 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
+/* M///////////////////////////////////////////////////////////////////////////////////////
 //
 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 //
-//  By downloading, copying, installing or using the software you agree to this license.
+//  By downloading, copying, installing or using the software you agree to this
+license.
 //  If you do not agree to this license, do not download, install,
 //  copy or use the software.
 //
@@ -14,23 +15,29 @@
 // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
 // Third party copyrights are property of their respective owners.
 //
-// Redistribution and use in source and binary forms, with or without modification,
+// Redistribution and use in source and binary forms, with or without
+modification,
 // are permitted provided that the following conditions are met:
 //
 //   * Redistribution's of source code must retain the above copyright notice,
 //     this list of conditions and the following disclaimer.
 //
-//   * Redistribution's in binary form must reproduce the above copyright notice,
+//   * Redistribution's in binary form must reproduce the above copyright
+notice,
 //     this list of conditions and the following disclaimer in the documentation
 //     and/or other materials provided with the distribution.
 //
-//   * The name of the copyright holders may not be used to endorse or promote products
+//   * The name of the copyright holders may not be used to endorse or promote
+products
 //     derived from this software without specific prior written permission.
 //
-// This software is provided by the copyright holders and contributors "as is" and
+// This software is provided by the copyright holders and contributors "as is"
+and
 // any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// warranties of merchantability and fitness for a particular purpose are
-// In no event shall the Intel Corporation or contributors be liable for any direct,
+disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any
+direct,
 // indirect, incidental, special, exemplary, or consequential damages
 // (including, but not limited to, procurement of substitute goods or services;
 // loss of use, data, or profits; or business interruption) however caused
@@ -38,12 +45,11 @@
 // or tort (including negligence or otherwise) arising in any way out of
 // the use of this software, even if advised of the possibility of such damage.
 //
-//M*/
+//M */
 
 #ifndef OPENCV_ACL_PRECOMP_HPP__
 #define OPENCV_ACL_PRECOMP_HPP__
 
-
 #include <assert.h>
 #include <ctype.h>
 #include <float.h>
@@ -52,19 +58,16 @@
 #include <stdio.h>
 #include <stdlib.h>
 #include <string.h>
+
 #include <memory>
 #include <vector>
 
-
-#include "opencv2/core.hpp"
-#include "opencv2/acl/acl.hpp"
-#include "opencv2/core/utility.hpp"
-#include "opencv2/acl/operator_desc.hpp"
 #include "acl/acl.h"
 #include "acl/acl_op_compiler.h"
+#include "opencv2/acl/acl.hpp"
+#include "opencv2/acl/operator_desc.hpp"
+#include "opencv2/core.hpp"
+#include "opencv2/core/utility.hpp"
 
-using namespace std;
-using namespace cv;
-using namespace cv::acl;
 
 #endif

acl/test/acl.cpp

@@ -1,299 +1,277 @@
+#include "test_common.hpp"
 #include "test_correctness.hpp"
 #include "test_perf.hpp"
-#include "test_common.hpp"
 
+using namespace cv;
+using namespace cv::acl;
+using namespace cvtest;
+using namespace testing;
+using namespace std;
 
-namespace opencv_test 
+namespace opencv_test {
-{
+namespace {
-    namespace
+aclCxt *acl_context_0 = set_device("../../modules/acl/test/acl.json", 2, 3);
-    {
+////////////////////////////////////////////////////Correctness_test////////////////////////////////////////////////////////
-        aclCxt *acl_context_0 = set_device("../../modules/acl/test/acl.json", 2, 3);
+/* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7
-        ////////////////////////////////////////////////////Correctness_test//////////////////////////////////////////////////////// 
+ * test function:
-        /* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7 
+ * config: MEMORY_ALIGN
-         * test function:
+ * aclMat(int rows, int cols, int type, aclCxt *acl_context, ALIGNMENT config =
-         * config: MEMORY_ALIGN
+ * MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
-         * aclMat(int rows, int cols, int type, aclCxt *acl_context, ALIGNMENT config = MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
+ * aclMat(Size size, int type, aclCxt *acl_context, ALIGNMENT config =
-         * aclMat(Size size, int type, aclCxt *acl_context, ALIGNMENT config = MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
+ * MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
-         * aclMat(const aclMat &m);
+ * aclMat(const aclMat &m);
-         * 
+ *
-         */
+ */
-        TEST(ACLMAT_CONSTRUCTOR, MEMORY_ALIGN)
+TEST(ACLMAT_CONSTRUCTOR, MEMORY_ALIGN) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_constructor_ALIGN(acl_context_0);
-            test.Test_constructor_ALIGN(acl_context_0);
+}
-        }
 
-        /* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7 
+/* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7
-         * test function:
+ * test function:
-         * config: MEMORY_UNALIGNED
+ * config: MEMORY_UNALIGNED
-         * aclMat(int rows, int cols, int type, aclCxt *acl_context, ALIGNMENT config = MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
+ * aclMat(int rows, int cols, int type, aclCxt *acl_context, ALIGNMENT config =
-         * aclMat(Size size, int type, aclCxt *acl_context, ALIGNMENT config = MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
+ * MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
-         * 
+ * aclMat(Size size, int type, aclCxt *acl_context, ALIGNMENT config =
-         */
+ * MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
-        TEST(ACLMAT_CONSTRUCTOR, MEMORY_UNALIGNED)
+ *
-        {
+ */
-            AclMat_Test test;
+TEST(ACLMAT_CONSTRUCTOR, MEMORY_UNALIGNED) {
-            test.Test_constructor_UNALIGNED(acl_context_0);
+  AclMat_Test test;
-        }
+  test.Test_constructor_UNALIGNED(acl_context_0);
+}
 
-        /* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7 
+/* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7
-         * test function:
+ * test function:
-         * aclMat(const aclMat &m);
+ * aclMat(const aclMat &m);
-         */
+ */
-        TEST(ACLMAT_CONSTRUCTOR, COPY_CONSTRUCTOR)
+TEST(ACLMAT_CONSTRUCTOR, COPY_CONSTRUCTOR) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_constructor(acl_context_0);
-            test.Test_constructor(acl_context_0);
+}
-        }
 
-        /* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7 
+/* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7
-         * test function:
+ * test function:
-         * aclMat(int rows, int cols, int type, void *data, aclCxt* acl_context, ALIGNMENT config = MEMORY_UNALIGNED, size_t step = Mat::AUTO_STEP);
+ * aclMat(int rows, int cols, int type, void *data, aclCxt* acl_context,
-         * aclMat(Size size, int type, void *data, aclCxt* acl_context, ALIGNMENT config = MEMORY_UNALIGNED, size_t step = Mat::AUTO_STEP);
+ * ALIGNMENT config = MEMORY_UNALIGNED, size_t step = Mat::AUTO_STEP);
-         */
+ * aclMat(Size size, int type, void *data, aclCxt* acl_context, ALIGNMENT config
-        TEST(ACLMAT_CONSTRUCTOR, DATA)
+ * = MEMORY_UNALIGNED, size_t step = Mat::AUTO_STEP);
-        {
+ */
-            AclMat_Test test;
+TEST(ACLMAT_CONSTRUCTOR, DATA) {
-            test.Test_constructor_DATA(acl_context_0);
+  AclMat_Test test;
-        }
+  test.Test_constructor_DATA(acl_context_0);
+}
 
-        /* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7 
+/* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7
-         * test function:
+ * test function:
-         * aclMat(const aclMat &m, const Range &rowRange, const Range &colRange = Range::all());
+ * aclMat(const aclMat &m, const Range &rowRange, const Range &colRange =
-         * 
+ * Range::all());
-         */
+ *
-        TEST(ACLMAT_CONSTRUCTOR, RANGE)
+ */
-        {
+TEST(ACLMAT_CONSTRUCTOR, RANGE) {
-            AclMat_Test test;
+  AclMat_Test test;
-            test.Test_constructor_RANGE(acl_context_0);
+  test.Test_constructor_RANGE(acl_context_0);
-        }
+}
 
-        /*
+/*
-         * test function:
+ * test function:
-         * aclMat(const aclMat &m, const Rect &roi);
+ * aclMat(const aclMat &m, const Rect &roi);
-         * 
+ *
-         */
+ */
-        TEST(ACLMAT_CONSTRUCTOR, ROI)
+TEST(ACLMAT_CONSTRUCTOR, ROI) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_constructor_ROI(acl_context_0);
-            test.Test_constructor_ROI(acl_context_0);
+}
-        }
 
-        /*
+/*
-         * test function: 
+ * test function:
-         * aclMat (const Mat &m, aclCxt* acl_context, ALIGNMENT config = MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
+ * aclMat (const Mat &m, aclCxt* acl_context, ALIGNMENT config =
-         */
+ * MEMORY_UNALIGNED, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST);
-        TEST(ACLMAT_CONSTRUCTOR, MAT)
+ */
-        {
+TEST(ACLMAT_CONSTRUCTOR, MAT) {
-            AclMat_Test test;
+  AclMat_Test test;
-            test.Test_constructor_MAT(acl_context_0);
+  test.Test_constructor_MAT(acl_context_0);
-        }
+}
 
-        /* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7 
+/* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7
-         * test function:
+ * test function:
-         * CV_EXPORTS void upload(const Mat &m, ALIGNMENT config = MEMORY_UNALIGNED);
+ * CV_EXPORTS void upload(const Mat &m, ALIGNMENT config = MEMORY_UNALIGNED);
-         * CV_EXPORTS void upload(const Mat &m, aclStream stream, ALIGNMENT config = MEMORY_UNALIGNED);
+ * CV_EXPORTS void upload(const Mat &m, aclStream stream, ALIGNMENT config =
-         * 
+ * MEMORY_UNALIGNED);
-         */
+ *
-        TEST(ACLMAT_FUNCTION, DATA_TRANSFER)
+ */
-        {
+TEST(ACLMAT_FUNCTION, DATA_TRANSFER) {
-            AclMat_Test test;
+  AclMat_Test test;
-            test.Test_DATA_TRANSFER(acl_context_0);
+  test.Test_DATA_TRANSFER(acl_context_0);
-        }
+}
 
-        /* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7 
+/* range: rows: 1 ~ 64, cols: 1 ~ 64, type: 0 ~ 7
-         * test function:
+ * test function:
-         * CV_EXPORTS void download(Mat &m, ALIGNMENT config = MEMORY_UNALIGNED) const;
+ * CV_EXPORTS void download(Mat &m, ALIGNMENT config = MEMORY_UNALIGNED) const;
-         * CV_EXPORTS void download(Mat &m, aclStream stream, ALIGNMENT config = MEMORY_UNALIGNED) const;
+ * CV_EXPORTS void download(Mat &m, aclStream stream, ALIGNMENT config =
-         * 
+ * MEMORY_UNALIGNED) const;
-         */
+ *
-        TEST(ACLMAT_FUNCTION, DATA_TRANSFERASYNC)
+ */
-        {
+TEST(ACLMAT_FUNCTION, DATA_TRANSFERASYNC) {
-            AclMat_Test test;
+  AclMat_Test test;
-            test.Test_DATA_TRANSFERASYNC(acl_context_0);
+  test.Test_DATA_TRANSFERASYNC(acl_context_0);
-        }
+}
 
-        /*
+/*
-         * test function:
+ * test function:
-         * void locateROI(Size &wholeSize, Point &ofs) const;
+ * void locateROI(Size &wholeSize, Point &ofs) const;
-         */
+ */
-        TEST(ACLMAT_FUNCTION, LOCATEROI)
+TEST(ACLMAT_FUNCTION, LOCATEROI) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_locateROI(acl_context_0);
-            test.Test_locateROI(acl_context_0);
+}
-        }
 
-        /*
+/*
-         * test function:
+ * test function:
-         * void swap(aclMat &mat);
+ * void swap(aclMat &mat);
-         * 
+ *
-         */
+ */
-        TEST(ACLMAT_FUNCTION, SWAP)
+TEST(ACLMAT_FUNCTION, SWAP) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_swap(acl_context_0);
-            test.Test_swap(acl_context_0);
+}
-        }
 
-        /*
+/*
-         * test function:
+ * test function:
-         * operator+=()
+ * operator+=()
-         * 
+ *
-        */
+ */
-        TEST(ACLMAT_FUNCTION, OPERATOR_ADD)
+TEST(ACLMAT_FUNCTION, OPERATOR_ADD) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_operator_add(acl_context_0);
-            test.Test_operator_add(acl_context_0);
+}
-        }
 
-        /*
+/*
-         * test function:
+ * test function:
-         * operator-=()
+ * operator-=()
-         * 
+ *
-        */
+ */
-        TEST(ACLMAT_FUNCTION, OPERATOR_SUB)
+TEST(ACLMAT_FUNCTION, OPERATOR_SUB) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_operator_sub(acl_context_0);
-            test.Test_operator_sub(acl_context_0);
+}
-        }
 
-        /*
+/*
-         * test function:
+ * test function:
-         * operator*=()
+ * operator*=()
-         * 
+ *
-        */
+ */
-        TEST(ACLMAT_FUNCTION, OPERATOR_MUL)
+TEST(ACLMAT_FUNCTION, OPERATOR_MUL) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_operator_mul(acl_context_0);
-            test.Test_operator_mul(acl_context_0);
+}
-        }
 
-        /*
+/*
-         * test function:
+ * test function:
-         * operator/=()
+ * operator/=()
-         * 
+ *
-        */
+ */
-        TEST(ACLMAT_FUNCTION, OPERATOR_DIV)
+TEST(ACLMAT_FUNCTION, OPERATOR_DIV) {
-        {
+  AclMat_Test test;
-            AclMat_Test test;
+  test.Test_operator_div(acl_context_0);
-            test.Test_operator_div(acl_context_0);
+}
-        }
 
 ////////////////////////////////////////////////////Perf_test////////////////////////////////////////////////////////
 
-        TEST(Operator, add)
+TEST(Operator, add) {
-        {
+  PERF_TEST test;
-            PERF_TEST test;
+  test.Test_operator_add_perf(acl_context_0);
-            test.Test_operator_add_perf(acl_context_0);
-        }
-
-        TEST(Operator, sub)
-        {
-            PERF_TEST test;
-            test.Test_operator_sub_perf(acl_context_0);
-        }
-
-        TEST(Operator, div)
-        {
-            PERF_TEST test;
-            test.Test_operator_div_perf(acl_context_0);
-        }
-
-        TEST(Operator, mul)
-        {
-            PERF_TEST test;
-            test.Test_operator_mul_perf(acl_context_0);
-        }
-
-        TEST(Mathfunction, abs)
-        {
-            PERF_TEST test;
-            test.Test_Abs(acl_context_0);
-        }
-
-        TEST(Mathfunction, pow)
-        {
-            PERF_TEST test;
-            test.Test_Pow(acl_context_0);
-        }
-
-        TEST(Mathfunction, sqrt)
-        {
-            PERF_TEST test;
-            test.Test_Sqrt(acl_context_0);
-        }
-
-        TEST(Mathfunction, add)
-        {
-            PERF_TEST test;
-            test.Test_Add(acl_context_0);
-        }
-
-        TEST(Mathfunction, divide)
-        {
-            PERF_TEST test;
-            test.Test_Divide(acl_context_0);
-        }
-
-        TEST(Mathfunction, exp)
-        {
-            PERF_TEST test;
-            test.Test_Exp(acl_context_0);
-        }
-
-        TEST(Mathfunction, log)
-        {
-            PERF_TEST test;
-            test.Test_Log(acl_context_0);
-        }
-
-        TEST(Mathfunction, max)
-        {
-            PERF_TEST test;
-            test.Test_Max(acl_context_0);
-        }
-
-        TEST(Mathfunction, min)
-        {
-            PERF_TEST test;
-            test.Test_Min(acl_context_0);
-        }
-
-        TEST(Gemm, MatMul)
-        {
-            PERF_TEST test;
-            test.Test_MatMul(acl_context_0);
-        }
-
-        TEST(Gemm, Convolution)
-        {
-            PERF_TEST test;
-            test.Test_Convolution(acl_context_0);
-        }
-
-        TEST(Matrices, merge)
-        {
-            PERF_TEST test;
-            test.Test_Merge(acl_context_0);
-        }
-
-        TEST(Matrices, split)
-        {
-            PERF_TEST test;
-            test.Test_Split(acl_context_0);
-        }
-
-
-        TEST(Matrices, transpose)
-        {
-            PERF_TEST test;
-            test.Test_Transpose(acl_context_0);
-        }
-
-        TEST(Matrices, flip)
-        {
-            PERF_TEST test;
-            test.Test_Flip(acl_context_0); 
-            release_device(acl_context_0);
-        }
-    }               
 }
+
+TEST(Operator, sub) {
+  PERF_TEST test;
+  test.Test_operator_sub_perf(acl_context_0);
+}
+
+TEST(Operator, div) {
+  PERF_TEST test;
+  test.Test_operator_div_perf(acl_context_0);
+}
+
+TEST(Operator, mul) {
+  PERF_TEST test;
+  test.Test_operator_mul_perf(acl_context_0);
+}
+
+TEST(Mathfunction, abs) {
+  PERF_TEST test;
+  test.Test_Abs(acl_context_0);
+}
+
+TEST(Mathfunction, pow) {
+  PERF_TEST test;
+  test.Test_Pow(acl_context_0);
+}
+
+TEST(Mathfunction, sqrt) {
+  PERF_TEST test;
+  test.Test_Sqrt(acl_context_0);
+}
+
+TEST(Mathfunction, add) {
+  PERF_TEST test;
+  test.Test_Add(acl_context_0);
+}
+
+TEST(Mathfunction, divide) {
+  PERF_TEST test;
+  test.Test_Divide(acl_context_0);
+}
+
+TEST(Mathfunction, exp) {
+  PERF_TEST test;
+  test.Test_Exp(acl_context_0);
+}
+
+TEST(Mathfunction, log) {
+  PERF_TEST test;
+  test.Test_Log(acl_context_0);
+}
+
+TEST(Mathfunction, max) {
+  PERF_TEST test;
+  test.Test_Max(acl_context_0);
+}
+
+TEST(Mathfunction, min) {
+  PERF_TEST test;
+  test.Test_Min(acl_context_0);
+}
+
+TEST(Gemm, MatMul) {
+  PERF_TEST test;
+  test.Test_MatMul(acl_context_0);
+}
+
+TEST(Gemm, Convolution) {
+  PERF_TEST test;
+  test.Test_Convolution(acl_context_0);
+}
+
+TEST(Matrices, merge) {
+  PERF_TEST test;
+  test.Test_Merge(acl_context_0);
+}
+
+TEST(Matrices, split) {
+  PERF_TEST test;
+  test.Test_Split(acl_context_0);
+}
+
+TEST(Matrices, transpose) {
+  PERF_TEST test;
+  test.Test_Transpose(acl_context_0);
+}
+
+TEST(Matrices, flip) {
+  PERF_TEST test;
+  test.Test_Flip(acl_context_0);
+  release_device(acl_context_0);
+}
+}  // namespace
+}  // namespace opencv_test

acl/test/acl.json

@@ -1,2 +1 @@
-{
+{}
-}

acl/test/test_acl.cpp

@@ -1,216 +1,202 @@
 #include "test_common.hpp"
 #include "test_perf.hpp"
 
+using namespace cv;
+using namespace cv::acl;
+using namespace cvtest;
+using namespace testing;
+using namespace std;
 
-void PERF_TEST::Test_operator_add_perf(aclCxt *acl_context)
+void PERF_TEST::Test_operator_add_perf(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
 
-    vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1, CV_64FC1};
+  vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1, CV_64FC1};
-    for (size_t i = 0; i < type.size(); ++i)
+  for (size_t i = 0; i < type.size(); ++i) {
-    {
+    test.PrintLog("Perf test : Function: operator+=()", type[i]);
-        test.PrintLog("Perf test : Function: operator+=()", type[i]);
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      n = cycle_index;
-        {
+      Mat mat_src(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 1);
+      test.SetDataRange(mat_src, 1);
-            test.SetDataRange(mat_dest, 1);
+      test.SetDataRange(mat_dest, 1);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) mat_dest += mat_src;
-                mat_dest += mat_src;
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            aclmat_dest += aclmat_src;
+      aclmat_dest += aclmat_src;
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) aclmat_dest += aclmat_src;
-                aclmat_dest += aclmat_src;
+      wait_stream(acl_context);
-            wait_stream(acl_context);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
+      ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
+  }
 }
 
-void PERF_TEST::Test_operator_sub_perf(aclCxt *acl_context)
+void PERF_TEST::Test_operator_sub_perf(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
 
-    vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1,CV_64FC1};
+  vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1, CV_64FC1};
-    //vector<int> type{CV_64FC1};
+  // vector<int> type{CV_64FC1};
-    for (size_t i = 0; i < type.size(); ++i)
+  for (size_t i = 0; i < type.size(); ++i) {
-    {
+    test.PrintLog("Perf test : Function: operator-=()", type[i]);
-        test.PrintLog("Perf test : Function: operator-=()", type[i]);
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      n = cycle_index;
-        {
+      Mat mat_src(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 4);
+      test.SetDataRange(mat_src, 4);
-            test.SetDataRange(mat_dest, 32);
+      test.SetDataRange(mat_dest, 32);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) mat_dest -= mat_src;
-                mat_dest -= mat_src;
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            aclmat_dest -= aclmat_src;
+      aclmat_dest -= aclmat_src;
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) aclmat_dest -= aclmat_src;
-                aclmat_dest -= aclmat_src;
+      wait_stream(acl_context);
-            wait_stream(acl_context);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            //bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      // bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            //ASSERT_TRUE(ret);
+      // ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
-    
+  }
 }
 
-void PERF_TEST::Test_operator_div_perf(aclCxt *acl_context)
+void PERF_TEST::Test_operator_div_perf(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
 
-    //vector<int> type{CV_32FC1};
+  // vector<int> type{CV_32FC1};
-    vector<int> type{CV_8UC1,CV_32FC1, CV_32SC1, CV_64FC1};
+  vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1, CV_64FC1};
-    for (size_t i = 0; i < type.size(); ++i)
+  for (size_t i = 0; i < type.size(); ++i) {
-    {
+    test.PrintLog("Perf test : Function: operator/=()", type[i]);
-        test.PrintLog("Perf test : Function: operator/=()", type[i]);
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      n = cycle_index;
-        {
+      Mat mat_src(val, val, type[i], Scalar(1, 2, 4));
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i], Scalar(2, 4, 8));
-            Mat mat_src(val, val, type[i], Scalar(1, 2, 4));
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_dest(val, val, type[i], Scalar(2, 4, 8));
-            Mat mat_dest1(val, val, type[i]);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) mat_dest /= mat_src;
-                mat_dest /= mat_src;
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            aclmat_dest /= aclmat_src;
+      aclmat_dest /= aclmat_src;
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) aclmat_dest /= aclmat_src;
-                aclmat_dest /= aclmat_src;
+      wait_stream(acl_context);
-            wait_stream(acl_context);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            //bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      // bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            //ASSERT_TRUE(ret);
+      // ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
-    
+  }
 }
 
-void PERF_TEST::Test_operator_mul_perf(aclCxt *acl_context)
+void PERF_TEST::Test_operator_mul_perf(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 4096;
-    int valmax = 4096;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
+  vector<int> type{CV_32FC1};
-    vector<int> type{CV_32FC1};
 
-    for (size_t i = 0; i < type.size(); ++i)
+  for (size_t i = 0; i < type.size(); ++i) {
-    {
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      n = cycle_index;
-        {
+      Mat mat_src(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 1);
+      test.SetDataRange(mat_src, 1);
-            test.SetDataRange(mat_dest, 1);
+      test.SetDataRange(mat_dest, 1);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) mat_dest *= mat_src;
-                mat_dest *= mat_src;
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            aclmat_dest *= aclmat_src;
+      aclmat_dest *= aclmat_src;
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) aclmat_dest *= aclmat_src;
-                aclmat_dest *= aclmat_src;
+      wait_stream(acl_context);
-            wait_stream(acl_context);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
+      ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
+  }
 }
-

acl/test/test_common.cpp

@@ -1,306 +1,319 @@
 #include "test_common.hpp"
 
-Common_Test::Common_Test() {
+using namespace cv;
-    srand((unsigned)time(NULL));
+using namespace cv::acl;
+using namespace cvtest;
+using namespace testing;
+using namespace std;
+
+Common_Test::Common_Test() { srand((unsigned)time(NULL)); }
+
+Common_Test::~Common_Test() {}
+
+bool Common_Test::Test_Diff(const aclMat &aclmat, const Mat &mat,
+                            ALIGNMENT config) {
+  bool is_correct;
+
+  if (config == ALIGNMENT::MEMORY_UNALIGNED) {
+    is_correct = (aclmat.rows == mat.rows);
+    is_correct &= (aclmat.cols == mat.cols);
+    is_correct &= (aclmat.channels() == mat.channels());
+    is_correct &= (aclmat.type() == mat.type());
+    is_correct &= (aclmat.step == mat.step);
+    is_correct &= (aclmat.elemSize() == mat.elemSize());
+    is_correct &= (aclmat.totalSize == mat.total() * mat.elemSize());
+    is_correct &=
+        ((aclmat.dataend - aclmat.datastart) == (mat.dataend - mat.datastart));
+
+    Mat mat_dest(mat.rows, mat.cols, mat.type());
+    aclmat.download(mat_dest);
+    is_correct &= Test_Diff(mat, mat_dest);
+  } else {
+    is_correct = (aclmat.rows == mat.rows);
+    is_correct &= (aclmat.cols == mat.cols);
+    is_correct &= (aclmat.channels() == mat.channels());
+    is_correct &= (aclmat.type() == mat.type());
+    is_correct &= (aclmat.elemSize() == mat.elemSize());
+
+    Mat mat_dest(mat.rows, mat.cols, mat.type());
+    aclmat.download(mat_dest, MEMORY_ALIGN);
+    is_correct &= Test_Diff(mat, mat_dest);
+  }
+
+  return is_correct;
 }
 
-Common_Test::~Common_Test() {
+bool Common_Test::Test_Diff(const aclMat &aclmat, const aclMat &aclmat_other) {
+  bool is_correct;
 
+  is_correct = (aclmat.flags == aclmat_other.flags);
+  is_correct &= (aclmat.rows == aclmat_other.rows);
+  is_correct &= (aclmat.cols == aclmat_other.cols);
+  is_correct &= (aclmat.type() == aclmat_other.type());
+  is_correct &= (aclmat.step == aclmat_other.step);
+  is_correct &= (aclmat.data == aclmat_other.data);
+  is_correct &= (aclmat.refcount == aclmat_other.refcount);
+  is_correct &= (aclmat.datastart == aclmat_other.datastart);
+  is_correct &= (aclmat.dataend == aclmat_other.dataend);
+  is_correct &= (aclmat.offset == aclmat_other.offset);
+  is_correct &= (aclmat.wholerows == aclmat_other.wholerows);
+  is_correct &= (aclmat.wholecols == aclmat_other.wholecols);
+  is_correct &= (aclmat.acl_context == aclmat_other.acl_context);
+  is_correct &= (aclmat.totalSize == aclmat_other.totalSize);
+
+  return is_correct;
 }
 
-bool Common_Test::Test_Diff(const aclMat& aclmat, const Mat& mat, ALIGNMENT config) {
+bool Common_Test::Test_Diff(const Mat &mat, const Mat &mat_other) {
-    bool is_correct;
+  bool is_correct;
 
-    if (config == ALIGNMENT::MEMORY_UNALIGNED)
+  is_correct = (mat.rows == mat_other.rows);
-    {
+  is_correct &= (mat.cols == mat_other.cols);
-        is_correct = (aclmat.rows == mat.rows);
+  is_correct &= (mat.type() == mat_other.type());
-        is_correct &= (aclmat.cols == mat.cols);
+  is_correct &= (mat.channels() == mat.channels());
-        is_correct &= (aclmat.channels() == mat.channels());
+  is_correct &= (mat.step == mat_other.step);
-        is_correct &= (aclmat.type() == mat.type());
+  is_correct &= (mat.elemSize() == mat_other.elemSize());
-        is_correct &= (aclmat.step == mat.step);
+  is_correct &= (mat.total() == mat_other.total());
-        is_correct &= (aclmat.elemSize() == mat.elemSize());
-        is_correct &= (aclmat.totalSize == mat.total() * mat.elemSize());
-        is_correct &= ((aclmat.dataend - aclmat.datastart) == (mat.dataend - mat.datastart));
 
-        Mat mat_dest(mat.rows, mat.cols, mat.type());
+  switch (mat.depth()) {
-        aclmat.download(mat_dest);
-        is_correct &= Test_Diff(mat, mat_dest);
-    }
-    else
-    {
-        is_correct = (aclmat.rows == mat.rows);
-        is_correct &= (aclmat.cols == mat.cols);
-        is_correct &= (aclmat.channels() == mat.channels());
-        is_correct &= (aclmat.type() == mat.type());
-        is_correct &= (aclmat.elemSize() == mat.elemSize());
-
-        Mat mat_dest(mat.rows, mat.cols, mat.type());
-        aclmat.download(mat_dest, MEMORY_ALIGN);
-        is_correct &= Test_Diff(mat, mat_dest);
-    }
-    
-    return is_correct;
-}
-    
-bool Common_Test::Test_Diff(const aclMat& aclmat, const aclMat& aclmat_other) {
-    bool is_correct;
-
-    is_correct = (aclmat.flags == aclmat_other.flags);
-    is_correct &= (aclmat.rows == aclmat_other.rows);
-    is_correct &= (aclmat.cols == aclmat_other.cols);
-    is_correct &= (aclmat.type() == aclmat_other.type());
-    is_correct &= (aclmat.step == aclmat_other.step);
-    is_correct &= (aclmat.data == aclmat_other.data);
-    is_correct &= (aclmat.refcount == aclmat_other.refcount);
-    is_correct &= (aclmat.datastart == aclmat_other.datastart);
-    is_correct &= (aclmat.dataend == aclmat_other.dataend);
-    is_correct &= (aclmat.offset == aclmat_other.offset);
-    is_correct &= (aclmat.wholerows == aclmat_other.wholerows);
-    is_correct &= (aclmat.wholecols == aclmat_other.wholecols);
-    is_correct &= (aclmat.acl_context == aclmat_other.acl_context);
-    is_correct &= (aclmat.totalSize == aclmat_other.totalSize);
-
-    return is_correct;
-}
-
-bool Common_Test::Test_Diff(const Mat &mat, const Mat &mat_other)
-{
-    bool is_correct;
-    
-    is_correct = (mat.rows == mat_other.rows);
-    is_correct &= (mat.cols == mat_other.cols);
-    is_correct &= (mat.type() == mat_other.type());
-    is_correct &= (mat.channels() == mat.channels());
-    is_correct &= (mat.step == mat_other.step);
-    is_correct &= (mat.elemSize() == mat_other.elemSize());
-    is_correct &= (mat.total() == mat_other.total());
-
-    switch (mat.depth()) 
-    {
     case CV_8U:
-        for (int i = 0; (is_correct == true) && (i < mat.rows * mat.cols * mat.channels()); i += mat.channels())
+      for (int i = 0;
-        {
+           (is_correct == true) && (i < mat.rows * mat.cols * mat.channels());
-            for (int j = 0; j < mat.channels(); ++j)
+           i += mat.channels()) {
-                is_correct &= ((mat.data)[i+j] == (mat_other.data)[i+j]);
+        for (int j = 0; j < mat.channels(); ++j)
-        }
+          is_correct &= ((mat.data)[i + j] == (mat_other.data)[i + j]);
-    return is_correct;
+      }
+      return is_correct;
     case CV_16U:
-        for (int i = 0; (is_correct == true) && (i < mat.rows * mat.cols * mat.channels()); i += mat.channels())
+      for (int i = 0;
-        {
+           (is_correct == true) && (i < mat.rows * mat.cols * mat.channels());
-            for (int j = 0; j < mat.channels(); ++j)
+           i += mat.channels()) {
-                is_correct &= (((unsigned short *)mat.data)[i+j] == ((unsigned short *)mat_other.data)[i+j]);
+        for (int j = 0; j < mat.channels(); ++j)
-        }
+          is_correct &= (((unsigned short *)mat.data)[i + j] ==
-    return is_correct;
+                         ((unsigned short *)mat_other.data)[i + j]);
+      }
+      return is_correct;
     case CV_32S:
-        for (int i = 0; (is_correct == true) && (i < mat.rows * mat.cols * mat.channels()); i += mat.channels())
+      for (int i = 0;
-        {
+           (is_correct == true) && (i < mat.rows * mat.cols * mat.channels());
-            for (int j = 0; j < mat.channels(); ++j)
+           i += mat.channels()) {
-                is_correct &= (((int *)(mat.data))[i+j] == (((int *)mat_other.data))[i+j]);
+        for (int j = 0; j < mat.channels(); ++j)
-        }
+          is_correct &=
-    return is_correct;
+              (((int *)(mat.data))[i + j] == (((int *)mat_other.data))[i + j]);
+      }
+      return is_correct;
     case CV_32F:
-        for (int i = 0; (is_correct == true) && (i < mat.rows * mat.cols * mat.channels()); i += mat.channels())
+      for (int i = 0;
-        {
+           (is_correct == true) && (i < mat.rows * mat.cols * mat.channels());
-            for (int j = 0; j < mat.channels(); ++j)
+           i += mat.channels()) {
-                is_correct &= ((((float *)(mat.data))[i+j] - (((float *)mat_other.data))[i+j] >= -0.00001) || \
+        for (int j = 0; j < mat.channels(); ++j)
-                                (((float *)(mat.data))[i+j] - (((float *)mat_other.data))[i+j] <= 0.00001));
+          is_correct &= ((((float *)(mat.data))[i + j] -
-        }
+                              (((float *)mat_other.data))[i + j] >=
-    return is_correct;
+                          -0.00001) ||
+                         (((float *)(mat.data))[i + j] -
+                              (((float *)mat_other.data))[i + j] <=
+                          0.00001));
+      }
+      return is_correct;
     case CV_64F:
-        for (int i = 0; (is_correct == true) && (i < mat.rows * mat.cols * mat.channels()); i += mat.channels())
+      for (int i = 0;
-        {
+           (is_correct == true) && (i < mat.rows * mat.cols * mat.channels());
-            for (int j = 0; j < mat.channels(); ++j)
+           i += mat.channels()) {
-                is_correct &= ((((double *)(mat.data))[i+j] - (((double *)mat_other.data))[i+j] >= -0.00001) || \
+        for (int j = 0; j < mat.channels(); ++j)
-                                (((double *)(mat.data))[i+j] - (((double *)mat_other.data))[i+j] <= 0.00001));
+          is_correct &= ((((double *)(mat.data))[i + j] -
-        }
+                              (((double *)mat_other.data))[i + j] >=
-    return is_correct;
+                          -0.00001) ||
-    }
+                         (((double *)(mat.data))[i + j] -
-    return is_correct;
+                              (((double *)mat_other.data))[i + j] <=
+                          0.00001));
+      }
+      return is_correct;
+  }
+  return is_correct;
 }
 
-void Common_Test::MatShow(cv::Mat &m, string str)
+void Common_Test::MatShow(cv::Mat &m, string str) {
-{
+  cout << str.c_str() << endl;
-    cout << str.c_str() << endl;
+  cout << m;
-    cout << m;
+  cout << endl << endl << endl;
-    cout << endl
-         << endl
-         << endl;
 }
 
-void Common_Test::StatShow(cv::Mat &mat_src, aclMat &aclmat_dst)
+void Common_Test::StatShow(cv::Mat &mat_src, aclMat &aclmat_dst) {
-{
+  cout << "//////////////////////////////// MatStat "
-    cout << "//////////////////////////////// MatStat ////////////////////////////////" << endl;
+          "////////////////////////////////"
-    cout << "type: " << mat_src.type() << endl;
+       << endl;
-    cout << "elemSize: " << mat_src.elemSize() << endl;
+  cout << "type: " << mat_src.type() << endl;
-    cout << "channels: " << mat_src.channels() << endl;
+  cout << "elemSize: " << mat_src.elemSize() << endl;
-    cout << "step: " << mat_src.step << endl;
+  cout << "channels: " << mat_src.channels() << endl;
-    cout << "totalSize: " << mat_src.rows * mat_src.cols * mat_src.elemSize() << endl;
+  cout << "step: " << mat_src.step << endl;
-    cout << "totalSize: " << mat_src.total() * mat_src.elemSize() << endl;
+  cout << "totalSize: " << mat_src.rows * mat_src.cols * mat_src.elemSize()
-    cout << "dataend - datastart: " << mat_src.dataend - mat_src.datastart << endl;
+       << endl;
+  cout << "totalSize: " << mat_src.total() * mat_src.elemSize() << endl;
+  cout << "dataend - datastart: " << mat_src.dataend - mat_src.datastart
+       << endl;
 
-    cout << "//////////////////////////////// aclMatStat ////////////////////////////////" << endl;
+  cout << "//////////////////////////////// aclMatStat "
-    cout << "type: " << aclmat_dst.type() << endl;
+          "////////////////////////////////"
-    cout << "elemSize: " << aclmat_dst.elemSize() << endl;
+       << endl;
-    cout << "channels: " << aclmat_dst.channels() << endl;
+  cout << "type: " << aclmat_dst.type() << endl;
-    cout << "step: " << aclmat_dst.step << endl;
+  cout << "elemSize: " << aclmat_dst.elemSize() << endl;
-    cout << "totalSize: " << aclmat_dst.rows * aclmat_dst.step << endl;
+  cout << "channels: " << aclmat_dst.channels() << endl;
-    cout << "totalSize: " << aclmat_dst.totalSize << endl;
+  cout << "step: " << aclmat_dst.step << endl;
-    cout << "dataend - datastart: " << aclmat_dst.dataend - aclmat_dst.datastart << endl;
+  cout << "totalSize: " << aclmat_dst.rows * aclmat_dst.step << endl;
-    cout << "wholerows: " << aclmat_dst.wholerows << endl;
+  cout << "totalSize: " << aclmat_dst.totalSize << endl;
-    cout << "wholecols: " << aclmat_dst.wholecols << endl;
+  cout << "dataend - datastart: " << aclmat_dst.dataend - aclmat_dst.datastart
-    cout << "offset : " << aclmat_dst.offset << endl;
+       << endl;
+  cout << "wholerows: " << aclmat_dst.wholerows << endl;
+  cout << "wholecols: " << aclmat_dst.wholecols << endl;
+  cout << "offset : " << aclmat_dst.offset << endl;
 }
 
-void Common_Test::PrintLog(const string& funcname, int type)
+void Common_Test::PrintLog(const string &funcname, int type) {
-{
+  switch (type) {
-    switch (type)
-    {
     case CV_8UC1:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_8UC1" << endl;
+           << "Type: CV_8UC1" << endl;
-        break;
+      break;
     case CV_8UC2:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_8UC2" << endl;
+           << "Type: CV_8UC2" << endl;
-        break;
+      break;
     case CV_8UC3:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_8UC3" << endl;
+           << "Type: CV_8UC3" << endl;
-        break;
+      break;
     case CV_8UC4:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_8UC4" << endl;
+           << "Type: CV_8UC4" << endl;
-        break;
+      break;
     case CV_8SC1:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_8SC1" << endl;
+           << "Type: CV_8SC1" << endl;
-        break;
+      break;
     case CV_8SC2:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_8SC2" << endl;
+           << "Type: CV_8SC2" << endl;
-        break;
+      break;
     case CV_8SC3:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_8SC3" << endl;
+           << "Type: CV_8SC3" << endl;
-        break;
+      break;
     case CV_8SC4:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_8SC4" << endl;
+           << "Type: CV_8SC4" << endl;
-        break;
+      break;
     case CV_16FC1:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_16FC1" << endl;
+           << "Type: CV_16FC1" << endl;
-        break;
+      break;
     case CV_16FC2:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_16FC2" << endl;
+           << "Type: CV_16FC2" << endl;
-        break;
+      break;
     case CV_16FC3:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_16FC3" << endl;
+           << "Type: CV_16FC3" << endl;
-        break;
+      break;
     case CV_16FC4:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_16FC4" << endl;
+           << "Type: CV_16FC4" << endl;
-        break;
+      break;
     case CV_32FC1:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_32FC1" << endl;
+           << "Type: CV_32FC1" << endl;
-        break;
+      break;
     case CV_32FC2:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_32FC2" << endl;
+           << "Type: CV_32FC2" << endl;
-        break;
+      break;
     case CV_32FC3:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_32FC3" << endl;
+           << "Type: CV_32FC3" << endl;
-        break;
+      break;
     case CV_32FC4:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_32FC4" << endl;
+           << "Type: CV_32FC4" << endl;
-        break;
+      break;
     case CV_32SC1:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_32SC1" << endl;
+           << "Type: CV_32SC1" << endl;
-        break;
+      break;
     case CV_32SC2:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_32SC2" << endl;
+           << "Type: CV_32SC2" << endl;
-        break;
+      break;
     case CV_32SC3:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_32SC3" << endl;
+           << "Type: CV_32SC3" << endl;
-        break;
+      break;
     case CV_32SC4:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_32SC4" << endl;
+           << "Type: CV_32SC4" << endl;
-        break;
+      break;
     case CV_64FC1:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_64FC1" << endl;
+           << "Type: CV_64FC1" << endl;
-        break;
+      break;
     case CV_64FC2:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_64FC2" << endl;
+           << "Type: CV_64FC2" << endl;
-        break;
+      break;
     case CV_64FC3:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_64FC3" << endl;
+           << "Type: CV_64FC3" << endl;
-        break;
+      break;
     case CV_64FC4:
-        cout << funcname << "\t"
+      cout << funcname << "\t"
-             << "Type: CV_64FC4" << endl;
+           << "Type: CV_64FC4" << endl;
-        break;
+      break;
     default:
-        break;
+      break;
-    }
+  }
 }
 
 /* srand((unsigned)time(NULL)) in constructor */
 size_t Common_Test::RandDom_(int config) {
-    return static_cast<size_t>(rand() % config);
+  return static_cast<size_t>(rand() % config);
 }
 
-bool Common_Test::SetDataRange(Mat &src, int dataRange)
+bool Common_Test::SetDataRange(Mat &src, int dataRange) {
-{
+  switch (src.depth()) {
-    switch (src.depth()) 
-    {
     case CV_8U:
-        for (int i = 0; i < src.rows * src.cols * src.channels(); i += src.channels())
+      for (int i = 0; i < src.rows * src.cols * src.channels();
-        {
+           i += src.channels()) {
-            for (int j = 0; j < src.channels(); ++j)
+        for (int j = 0; j < src.channels(); ++j)
-                (src.data)[i+j] = RandDom_(dataRange) + 1;
+          (src.data)[i + j] = RandDom_(dataRange) + 1;
-        }
+      }
-        return true;
+      return true;
     case CV_16U:
-        for (int i = 0; i < src.rows * src.cols * src.channels(); i += src.channels())
+      for (int i = 0; i < src.rows * src.cols * src.channels();
-        {
+           i += src.channels()) {
-            for (int j = 0; j < src.channels(); ++j)
+        for (int j = 0; j < src.channels(); ++j)
-                ((unsigned short *)src.data)[i+j] = RandDom_(dataRange) + 1;
+          ((unsigned short *)src.data)[i + j] = RandDom_(dataRange) + 1;
-        }
+      }
-        return true;
+      return true;
     case CV_32S:
-        for (int i = 0; i < src.rows * src.cols * src.channels(); i += src.channels())
+      for (int i = 0; i < src.rows * src.cols * src.channels();
-        {
+           i += src.channels()) {
-            for (int j = 0; j < src.channels(); ++j)
+        for (int j = 0; j < src.channels(); ++j)
-                ((int *)src.data)[i+j] = RandDom_(dataRange) + 1;
+          ((int *)src.data)[i + j] = RandDom_(dataRange) + 1;
-        }
+      }
-        return true;
+      return true;
     case CV_32F:
-        for (int i = 0; i < src.rows * src.cols * src.channels(); i += src.channels())
+      for (int i = 0; i < src.rows * src.cols * src.channels();
-        {
+           i += src.channels()) {
-            for (int j = 0; j < src.channels(); ++j)
+        for (int j = 0; j < src.channels(); ++j)
-                ((float *)src.data)[i+j] = RandDom_(dataRange) / 1.0 + 1;
+          ((float *)src.data)[i + j] = RandDom_(dataRange) / 1.0 + 1;
-        }
+      }
-        return true;
+      return true;
     case CV_64F:
-        for (int i = 0; i < src.rows * src.cols * src.channels(); i += src.channels())
+      for (int i = 0; i < src.rows * src.cols * src.channels();
-        {
+           i += src.channels()) {
-            for (int j = 0; j < src.channels(); ++j)
+        for (int j = 0; j < src.channels(); ++j)
-                ((double *)src.data)[i+j] = RandDom_(dataRange) / 1.0 + 1;
+          ((double *)src.data)[i + j] = RandDom_(dataRange) / 1.0 + 1;
-        }
+      }
-        return true;
+      return true;
     default:
-        return false;
+      return false;
-    }
+  }
 }

acl/test/test_common.hpp

@@ -3,25 +3,24 @@
 
 #include "test_precomp.hpp"
 
-typedef enum TestDatatype {
+typedef enum TestDatatype { INT = 1, FLOAT } TestDatatype;
-    INT = 1,
-    FLOAT
-} TestDatatype;
 
 class CV_EXPORTS Common_Test {
-    public:
+ public:
-        Common_Test();
+  Common_Test();
-        ~Common_Test();
+  ~Common_Test();
-        CV_EXPORTS bool Test_Diff(const aclMat& aclmat, const Mat& mat, ALIGNMENT config = ALIGNMENT::MEMORY_UNALIGNED);
+  CV_EXPORTS bool Test_Diff(
-        CV_EXPORTS bool Test_Diff(const aclMat& aclmat, const aclMat& aclmat_other);
+      const cv::acl::aclMat& aclmat, const cv::Mat& mat,
-        CV_EXPORTS bool Test_Diff(const Mat& mat, const Mat& mat_other);
+      cv::acl::ALIGNMENT config = cv::acl::ALIGNMENT::MEMORY_UNALIGNED);
-        CV_EXPORTS void MatShow(Mat &m, string str);
+  CV_EXPORTS bool Test_Diff(const cv::acl::aclMat& aclmat,
-        CV_EXPORTS void StatShow(Mat &mat_src, aclMat &aclmat_dst);
+                            const cv::acl::aclMat& aclmat_other);
-        CV_EXPORTS void PrintLog(const string& funcname, int type);
+  CV_EXPORTS bool Test_Diff(const cv::Mat& mat, const cv::Mat& mat_other);
+  CV_EXPORTS void MatShow(cv::Mat& m, std::string str);
+  CV_EXPORTS void StatShow(cv::Mat& mat_src, cv::acl::aclMat& aclmat_dst);
+  CV_EXPORTS void PrintLog(const std::string& funcname, int type);
 
-        CV_EXPORTS size_t RandDom_(int config = 0xff);
+  CV_EXPORTS size_t RandDom_(int config = 0xff);
-        CV_EXPORTS bool SetDataRange(Mat &src, int dataRange = 0xff);
+  CV_EXPORTS bool SetDataRange(cv::Mat& src, int dataRange = 0xff);
 };
 
-
 #endif

acl/test/test_correctness.hpp

@@ -2,39 +2,50 @@
 #define __OPENCV_CORRECTNESS_HPP__
 
 #include "test_precomp.hpp"
+
+using namespace cv;
+using namespace cv::acl;
+using namespace cvtest;
+using namespace testing;
+using namespace std;
+
 class CV_EXPORTS AclMat_Test {
-    public:
+ public:
-        AclMat_Test();
+  AclMat_Test();
-        ~AclMat_Test();
+  ~AclMat_Test();
-        /* test set_device() */
+  /* test set_device() */
-        CV_EXPORTS void Test_set_device();
+  CV_EXPORTS void Test_set_device();
-        /* test aclMat(int rows, int cols, int type, aclCxt *acl_context, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST) */
+  /* test aclMat(int rows, int cols, int type, aclCxt *acl_context,
-        CV_EXPORTS void Test_constructor_UNALIGNED(aclCxt *acl_context);
+   * aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST) */
-        CV_EXPORTS void Test_constructor_ALIGN(aclCxt *acl_context);
+  CV_EXPORTS void Test_constructor_UNALIGNED(aclCxt *acl_context);
+  CV_EXPORTS void Test_constructor_ALIGN(aclCxt *acl_context);
 
-        /* test aclMat(const aclMat &m) */
+  /* test aclMat(const aclMat &m) */
-        CV_EXPORTS void Test_constructor(aclCxt *acl_context);
+  CV_EXPORTS void Test_constructor(aclCxt *acl_context);
-        /* test aclMat(int rows, int cols, int type, void *data, aclCxt* acl_context, size_t step = Mat::AUTO_STEP) */
+  /* test aclMat(int rows, int cols, int type, void *data, aclCxt* acl_context,
-        CV_EXPORTS void Test_constructor_DATA(aclCxt *acl_context);
+   * size_t step = Mat::AUTO_STEP) */
-        /* test aclMat(const aclMat &m, const Range &rowRange, const Range &colRange = Range::all()) */
+  CV_EXPORTS void Test_constructor_DATA(aclCxt *acl_context);
-        CV_EXPORTS void Test_constructor_RANGE(aclCxt *acl_context);
+  /* test aclMat(const aclMat &m, const Range &rowRange, const Range &colRange =
-        /* test aclMat(const aclMat &m, const Rect &roi) */
+   * Range::all()) */
-        CV_EXPORTS void Test_constructor_ROI(aclCxt *acl_context);
+  CV_EXPORTS void Test_constructor_RANGE(aclCxt *acl_context);
-        /* test aclMat (const Mat &m, aclCxt* acl_context, aclrtMemMallocPolicy policy = ACL_MEM_MALLOC_HUGE_FIRST) */
+  /* test aclMat(const aclMat &m, const Rect &roi) */
-        CV_EXPORTS void Test_constructor_MAT(aclCxt *acl_context);
+  CV_EXPORTS void Test_constructor_ROI(aclCxt *acl_context);
-        /* test upload download*/
+  /* test aclMat (const Mat &m, aclCxt* acl_context, aclrtMemMallocPolicy policy
-        CV_EXPORTS void Test_DATA_TRANSFER(aclCxt *acl_context);
+   * = ACL_MEM_MALLOC_HUGE_FIRST) */
-        /* test upload_2d download_2d */
+  CV_EXPORTS void Test_constructor_MAT(aclCxt *acl_context);
-        CV_EXPORTS void Test_DATA_TRANSFERASYNC(aclCxt *acl_context);
+  /* test upload download*/
-        /* test locateROI adjustROI */
+  CV_EXPORTS void Test_DATA_TRANSFER(aclCxt *acl_context);
-        CV_EXPORTS void Test_locateROI(aclCxt *acl_context);
+  /* test upload_2d download_2d */
-        /* test swap */
+  CV_EXPORTS void Test_DATA_TRANSFERASYNC(aclCxt *acl_context);
-        CV_EXPORTS void Test_swap(aclCxt *acl_context);
+  /* test locateROI adjustROI */
+  CV_EXPORTS void Test_locateROI(aclCxt *acl_context);
+  /* test swap */
+  CV_EXPORTS void Test_swap(aclCxt *acl_context);
 
-        CV_EXPORTS void Test_operator_add(aclCxt *acl_context);
+  CV_EXPORTS void Test_operator_add(aclCxt *acl_context);
-        CV_EXPORTS void Test_operator_sub(aclCxt *acl_context);
+  CV_EXPORTS void Test_operator_sub(aclCxt *acl_context);
-        CV_EXPORTS void Test_operator_mul(aclCxt *acl_context);
+  CV_EXPORTS void Test_operator_mul(aclCxt *acl_context);
-        CV_EXPORTS void Test_operator_div(aclCxt *acl_context);
+  CV_EXPORTS void Test_operator_div(aclCxt *acl_context);
 };
 
 void thread_handler(void);

acl/test/test_gemm.cpp

@@ -1,113 +1,111 @@
 #include "test_common.hpp"
 #include "test_perf.hpp"
 
-void PERF_TEST::Test_MatMul(aclCxt *acl_context)
+using namespace cv;
-{
+using namespace cv::acl;
-    int val, n;
+using namespace cvtest;
-    int valmax = 4096;
+using namespace testing;
-    int cycle_index = 10;//100;
+using namespace std;
-    double begin, end, time, acltime;
-    Common_Test test;
-    vector<int> type{CV_32FC1};
 
-    for (size_t i = 0; i < type.size(); ++i)
+void PERF_TEST::Test_MatMul(aclCxt *acl_context) {
-    {
+  int val, n;
-        for (val = 8; val <= valmax; val *= 2)
+  int valmax = 4096;
-        {
+  int cycle_index = 10;  // 100;
-            Mat mat_src(val, val, type[i]);
+  double begin, end, time, acltime;
-            Mat mat_src1(val, val, type[i]);
+  Common_Test test;
-            Mat mat_dest(val, val, type[i]);
+  vector<int> type{CV_32FC1};
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 32);
+  for (size_t i = 0; i < type.size(); ++i) {
-            test.SetDataRange(mat_src1, 32);
+    for (val = 8; val <= valmax; val *= 2) {
-            test.SetDataRange(mat_dest, 32);
+      Mat mat_src(val, val, type[i]);
+      Mat mat_src1(val, val, type[i]);
+      Mat mat_dest(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      test.SetDataRange(mat_src, 32);
-            aclMat aclmat_src1(val, val, type[i], mat_src1.data, acl_context);
+      test.SetDataRange(mat_src1, 32);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      test.SetDataRange(mat_dest, 32);
 
-            n = cycle_index;
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            begin = static_cast<double>(getTickCount());
+      aclMat aclmat_src1(val, val, type[i], mat_src1.data, acl_context);
-            while (n--)
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
-                mat_dest = mat_src * mat_src1;
-            end = static_cast<double>(getTickCount());
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = cycle_index;
-            MatMul(aclmat_src1, aclmat_src, aclmat_dest, 0);
+      begin = static_cast<double>(getTickCount());
-            wait_stream(acl_context, 0);
+      while (n--) mat_dest = mat_src * mat_src1;
-            begin = static_cast<double>(getTickCount());
+      end = static_cast<double>(getTickCount());
-            while (n--)
+      time = (end - begin) / getTickFrequency() / cycle_index;
-                MatMul(aclmat_src1, aclmat_src, aclmat_dest, 1);
-            wait_stream(acl_context, 1);
-            end = static_cast<double>(getTickCount());
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      n = (cycle_index - 1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      MatMul(aclmat_src1, aclmat_src, aclmat_dest, 0);
-            ASSERT_TRUE(ret);
+      wait_stream(acl_context, 0);
-            if (val < 128)
+      begin = static_cast<double>(getTickCount());
-                cout << "Shape: " << val << " x " << val << "\t\t";
+      while (n--) MatMul(aclmat_src1, aclmat_src, aclmat_dest, 1);
-            else
+      wait_stream(acl_context, 1);
-                cout << "Shape: " << val << " x " << val << "\t";
+      end = static_cast<double>(getTickCount());
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-        }
+
+      aclmat_dest.download(mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      ASSERT_TRUE(ret);
+      if (val < 128)
+        cout << "Shape: " << val << " x " << val << "\t\t";
+      else
+        cout << "Shape: " << val << " x " << val << "\t";
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
+           << "\tRate: " << time / acltime << endl;
     }
-
+  }
 }
 
-void PERF_TEST::Test_Convolution(aclCxt *acl_context)
+void PERF_TEST::Test_Convolution(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 4096;
-    int valmax = 4096;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
+  vector<int> type{CV_32FC1};
-    vector<int> type{CV_32FC1};
 
-    for (size_t i = 0; i < type.size(); ++i)
+  for (size_t i = 0; i < type.size(); ++i) {
-    {
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      Mat mat_src(val, val, type[i], Scalar{1, 2});
-        {
+      Mat mat_kernel(3, 3, type[i], Scalar(1, 4));
-            Mat mat_src(val, val, type[i], Scalar{1, 2});
+      Mat mat_dest(val, val, type[i], Scalar{6});
-            Mat mat_kernel(3, 3, type[i], Scalar(1, 4));
-            Mat mat_dest(val, val, type[i], Scalar{6});
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_kernel(3, 3, type[i], mat_kernel.data, acl_context);
+      aclMat aclmat_kernel(3, 3, type[i], mat_kernel.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            n = cycle_index;
+      n = cycle_index;
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) filter2D(mat_src, mat_dest, -1, mat_kernel);
-                filter2D(mat_src, mat_dest, -1, mat_kernel);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            vector<int64_t> strides{1, 1, 1, 1};
+      vector<int64_t> strides{1, 1, 1, 1};
-            vector<int64_t> pads{1, 1, 1, 1};
+      vector<int64_t> pads{1, 1, 1, 1};
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            Convolution(aclmat_src, aclmat_kernel, aclmat_dest, strides, pads, 0);
+      Convolution(aclmat_src, aclmat_kernel, aclmat_dest, strides, pads, 0);
-            wait_stream(acl_context, 0);
+      wait_stream(acl_context, 0);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--)
-                Convolution(aclmat_src, aclmat_kernel, aclmat_dest, strides, pads, 1);
+        Convolution(aclmat_src, aclmat_kernel, aclmat_dest, strides, pads, 1);
-            wait_stream(acl_context, 1);
+      wait_stream(acl_context, 1);
-            end = static_cast<double>(getTickCount());
+      end = static_cast<double>(getTickCount());
-            Mat mat_dest1(aclmat_dest.rows, aclmat_dest.cols, type[i]);
+      Mat mat_dest1(aclmat_dest.rows, aclmat_dest.cols, type[i]);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            /*
+      /*
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
+      ASSERT_TRUE(ret);
-            */
+      */
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
+  }
 }

acl/test/test_main.cpp

@@ -1,10 +1,10 @@
 // This file is part of OpenCV project.
-// It is subject to the license terms in the LICENSE file found in the top-level directory
+// It is subject to the license terms in the LICENSE file found in the top-level
-// of this distribution and at http://opencv.org/license.html.
+// directory of this distribution and at http://opencv.org/license.html.
 #include "test_precomp.hpp"
 
 #if defined(HAVE_HPX)
-    #include <hpx/hpx_main.hpp>
+#include <hpx/hpx_main.hpp>
 #endif
 
 CV_TEST_MAIN("cv")

acl/test/test_mathfuncs.cpp

@@ -1,481 +1,446 @@
 #include "test_common.hpp"
 #include "test_perf.hpp"
 
-void PERF_TEST::Test_Abs(aclCxt *acl_context)
+using namespace cv;
-{
+using namespace cv::acl;
-    int val, n;
+using namespace cvtest;
-    int valmax = 8192;
+using namespace testing;
-    int cycle_index = 10;
+using namespace std;
-    double begin, end, time, acltime;
-    Common_Test test;
 
-    //vector<int> type{CV_32FC1};
+void PERF_TEST::Test_Abs(aclCxt *acl_context) {
-    vector<int> type{CV_32FC1,CV_32SC1};
+  int val, n;
-    for (size_t i = 0; i < type.size(); ++i)
+  int valmax = 8192;
-    {
+  int cycle_index = 10;
-        test.PrintLog("Perf test : Function: Abs()", type[i]);
+  double begin, end, time, acltime;
-        for (val = 8; val <= valmax; val *= 2)
+  Common_Test test;
-        {
-            n = cycle_index;
-            Mat mat_src(val, val, type[i], Scalar{-2});
-            Mat mat_dest(val, val, type[i], Scalar{-4});
-            Mat mat_dest1(val, val, type[i], Scalar{-6});
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+  // vector<int> type{CV_32FC1};
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+  vector<int> type{CV_32FC1, CV_32SC1};
+  for (size_t i = 0; i < type.size(); ++i) {
+    test.PrintLog("Perf test : Function: Abs()", type[i]);
+    for (val = 8; val <= valmax; val *= 2) {
+      n = cycle_index;
+      Mat mat_src(val, val, type[i], Scalar{-2});
+      Mat mat_dest(val, val, type[i], Scalar{-4});
+      Mat mat_dest1(val, val, type[i], Scalar{-6});
 
-            begin = static_cast<double>(getTickCount());
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            while (n--)
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
-                mat_dest = abs(mat_src);
-            end = static_cast<double>(getTickCount());
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      begin = static_cast<double>(getTickCount());
-            aclmat_dest = abs(aclmat_src, 0);
+      while (n--) mat_dest = abs(mat_src);
-            wait_stream(acl_context, 0);
+      end = static_cast<double>(getTickCount());
-            begin = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            while (n--)
-                aclmat_dest = abs(aclmat_src, 1);
-            wait_stream(acl_context, 1);
-            end = static_cast<double>(getTickCount());
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      n = (cycle_index - 1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      aclmat_dest = abs(aclmat_src, 0);
-            ASSERT_TRUE(ret);
+      wait_stream(acl_context, 0);
-            if (val < 128)
+      begin = static_cast<double>(getTickCount());
-                cout << "Shape: " << val << " x " << val << "\t\t";
+      while (n--) aclmat_dest = abs(aclmat_src, 1);
-            else
+      wait_stream(acl_context, 1);
-                cout << "Shape: " << val << " x " << val << "\t";
+      end = static_cast<double>(getTickCount());
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-        }
+
+      aclmat_dest.download(mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      ASSERT_TRUE(ret);
+      if (val < 128)
+        cout << "Shape: " << val << " x " << val << "\t\t";
+      else
+        cout << "Shape: " << val << " x " << val << "\t";
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
+           << "\tRate: " << time / acltime << endl;
     }
+  }
 }
 
-void PERF_TEST::Test_Pow(aclCxt *acl_context)
+void PERF_TEST::Test_Pow(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
 
-    //vector<int> type{CV_32FC1};
+  // vector<int> type{CV_32FC1};
-    vector<int> type{CV_8UC1, CV_32FC1,CV_32SC1};
+  vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1};
-    for (size_t i = 0; i < type.size(); ++i)
+  for (size_t i = 0; i < type.size(); ++i) {
-    {
+    test.PrintLog("Perf test : Function: Pow()", type[i]);
-        test.PrintLog("Perf test : Function: Pow()", type[i]);
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      n = cycle_index;
-        {
+      int power = test.RandDom_(6);
-            n = cycle_index;
+      Mat mat_src(val, val, type[i]);
-            int power = test.RandDom_(6);
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 32); 
+      test.SetDataRange(mat_src, 32);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) pow(mat_src, power, mat_dest);
-                pow(mat_src, power, mat_dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            pow(aclmat_src, power, aclmat_dest, 0);
+      pow(aclmat_src, power, aclmat_dest, 0);
-            wait_stream(acl_context, 0);
+      wait_stream(acl_context, 0);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) pow(aclmat_src, power, aclmat_dest, 1);
-                pow(aclmat_src, power, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
+  }
 }
 
-void PERF_TEST::Test_Sqrt(aclCxt *acl_context)
+void PERF_TEST::Test_Sqrt(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
+  // vector<int> type{CV_32FC1};
-    //vector<int> type{CV_32FC1};
+  vector<int> type{CV_32FC1, CV_64FC1};
-    vector<int> type{CV_32FC1,CV_64FC1};
+  for (size_t i = 0; i < type.size(); ++i) {
-    for (size_t i = 0; i < type.size(); ++i)
+    for (val = 8; val <= valmax; val *= 2) {
-    {
+      n = cycle_index;
-        for (val = 8; val <= valmax; val *= 2)
+      Mat mat_src(val, val, type[i]);
-        {
+      Mat mat_dest(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_src(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 32);
+      test.SetDataRange(mat_src, 32);
-            test.SetDataRange(mat_dest, 32);
+      test.SetDataRange(mat_dest, 32);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) sqrt(mat_src, mat_dest);
-                sqrt(mat_src, mat_dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            sqrt(aclmat_src, aclmat_dest);
+      sqrt(aclmat_src, aclmat_dest);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) sqrt(aclmat_src, aclmat_dest, 1);
-                sqrt(aclmat_src, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
-
+  }
 }
 
-void PERF_TEST::Test_Add(aclCxt *acl_context)
+void PERF_TEST::Test_Add(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
+  // vector<int> type{CV_32FC1};
-    //vector<int> type{CV_32FC1};
+  vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1, CV_64FC1};
-    vector<int> type{CV_8UC1,CV_32FC1, CV_32SC1, CV_64FC1};
+  for (size_t i = 0; i < type.size(); ++i) {
-    for (size_t i = 0; i < type.size(); ++i)
+    for (val = 8; val <= valmax; val *= 2) {
-    {
+      n = cycle_index;
-        for (val = 8; val <= valmax; val *= 2)
+      Mat mat_src1(val, val, type[i]);
-        {
+      Mat mat_src2(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src1(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_src2(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src1, 32);
+      test.SetDataRange(mat_src1, 32);
-            test.SetDataRange(mat_src2, 32);
+      test.SetDataRange(mat_src2, 32);
-            test.SetDataRange(mat_dest, 32);
+      test.SetDataRange(mat_dest, 32);
 
-            aclMat aclmat_src1(val, val, type[i], mat_src1.data, acl_context);
+      aclMat aclmat_src1(val, val, type[i], mat_src1.data, acl_context);
-            aclMat aclmat_src2(val, val, type[i], mat_src2.data, acl_context);
+      aclMat aclmat_src2(val, val, type[i], mat_src2.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) add(mat_src1, mat_src2, mat_dest);
-                add(mat_src1, mat_src2, mat_dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            add(aclmat_src1, aclmat_src2, aclmat_dest);
+      add(aclmat_src1, aclmat_src2, aclmat_dest);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) add(aclmat_src1, aclmat_src2, aclmat_dest, 1);
-                add(aclmat_src1, aclmat_src2, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
+      ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
-
+  }
 }
 
-void PERF_TEST::Test_Divide(aclCxt *acl_context)
+void PERF_TEST::Test_Divide(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
+  // vector<int> type{CV_32FC1};
-    //vector<int> type{CV_32FC1};
+  vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1};
-    vector<int> type{CV_8UC1,CV_32FC1, CV_32SC1};
+  for (size_t i = 0; i < type.size(); ++i) {
-    for (size_t i = 0; i < type.size(); ++i)
+    for (val = 8; val <= valmax; val *= 2) {
-    {
+      n = cycle_index;
-        for (val = 8; val <= valmax; val *= 2)
+      Mat mat_src1(val, val, type[i]);
-        {
+      Mat mat_src2(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src1(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_src2(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src1, 32);
+      test.SetDataRange(mat_src1, 32);
-            test.SetDataRange(mat_src2, 4);
+      test.SetDataRange(mat_src2, 4);
-            test.SetDataRange(mat_dest, 32);
+      test.SetDataRange(mat_dest, 32);
 
-            aclMat aclmat_src1(val, val, type[i], mat_src1.data, acl_context);
+      aclMat aclmat_src1(val, val, type[i], mat_src1.data, acl_context);
-            aclMat aclmat_src2(val, val, type[i], mat_src2.data, acl_context);
+      aclMat aclmat_src2(val, val, type[i], mat_src2.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) divide(mat_src1, mat_src2, mat_dest);
-                divide(mat_src1, mat_src2, mat_dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            divide(aclmat_src1, aclmat_src2, aclmat_dest);
+      divide(aclmat_src1, aclmat_src2, aclmat_dest);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) divide(aclmat_src1, aclmat_src2, aclmat_dest, 1);
-                divide(aclmat_src1, aclmat_src2, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            // bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      // bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            // ASSERT_TRUE(ret);
+      // ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
+  }
 }
 
-void PERF_TEST::Test_Exp(aclCxt *acl_context)
+void PERF_TEST::Test_Exp(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
 
-    //vector<int> type{CV_32FC1};
+  // vector<int> type{CV_32FC1};
-    vector<int> type{CV_32FC1,CV_64FC1};
+  vector<int> type{CV_32FC1, CV_64FC1};
-    for (size_t i = 0; i < type.size(); ++i)
+  for (size_t i = 0; i < type.size(); ++i) {
-    {
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      n = cycle_index;
-        {
+      Mat mat_src(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 32);
+      test.SetDataRange(mat_src, 32);
-            test.SetDataRange(mat_dest, 2);
+      test.SetDataRange(mat_dest, 2);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) exp(mat_src, mat_dest);
-                exp(mat_src, mat_dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            exp(aclmat_src, aclmat_dest);
+      exp(aclmat_src, aclmat_dest);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) exp(aclmat_src, aclmat_dest, 1);
-                exp(aclmat_src, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
-
+  }
 }
 
-void PERF_TEST::Test_Log(aclCxt *acl_context)
+void PERF_TEST::Test_Log(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
+  // vector<int> type{CV_32FC1};
-    //vector<int> type{CV_32FC1};
+  vector<int> type{CV_32FC1, CV_64FC1};
-    vector<int> type{CV_32FC1,CV_64FC1};
+  for (size_t i = 0; i < type.size(); ++i) {
-    for (size_t i = 0; i < type.size(); ++i)
+    for (val = 8; val <= valmax; val *= 2) {
-    {
+      n = cycle_index;
-        for (val = 8; val <= valmax; val *= 2)
+      Mat mat_src(val, val, type[i]);
-        {
+      Mat mat_dest(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_src(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 32);
+      test.SetDataRange(mat_src, 32);
-            test.SetDataRange(mat_dest, 32);
+      test.SetDataRange(mat_dest, 32);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) log(mat_src, mat_dest);
-                log(mat_src, mat_dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            log(aclmat_src, aclmat_dest, 1);
+      log(aclmat_src, aclmat_dest, 1);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) log(aclmat_src, aclmat_dest, 1);
-                log(aclmat_src, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
-
+  }
 }
 
-void PERF_TEST::Test_Max(aclCxt *acl_context)
+void PERF_TEST::Test_Max(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
+  // vector<int> type{CV_32FC2};
-   // vector<int> type{CV_32FC2};
+  vector<int> type{CV_32FC2, CV_32SC2, CV_64FC2};
-    vector<int> type{CV_32FC2,CV_32SC2, CV_64FC2};
+  for (size_t i = 0; i < type.size(); ++i) {
-    for (size_t i = 0; i < type.size(); ++i)
+    for (val = 8; val <= valmax; val *= 2) {
-    {
+      n = cycle_index;
-        for (val = 8; val <= valmax; val *= 2)
+      Mat mat_src1(val, val, type[i]);
-        {
+      Mat mat_src2(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src1(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_src2(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src1, 32);
+      test.SetDataRange(mat_src1, 32);
-            test.SetDataRange(mat_src2, 32);
+      test.SetDataRange(mat_src2, 32);
-            test.SetDataRange(mat_dest, 32);
+      test.SetDataRange(mat_dest, 32);
 
-            aclMat aclmat_src1(val, val, type[i], mat_src2.data, acl_context);
+      aclMat aclmat_src1(val, val, type[i], mat_src2.data, acl_context);
-            aclMat aclmat_src2(val, val, type[i], mat_src1.data, acl_context);
+      aclMat aclmat_src2(val, val, type[i], mat_src1.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) cv::max(mat_src1, mat_src2, mat_dest);
-                cv::max(mat_src1, mat_src2, mat_dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            cv::acl::max(aclmat_src1, aclmat_src2, aclmat_dest);
+      cv::acl::max(aclmat_src1, aclmat_src2, aclmat_dest);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) cv::acl::max(aclmat_src1, aclmat_src2, aclmat_dest, 1);
-                cv::acl::max(aclmat_src1, aclmat_src2, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
+      ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
+  }
 }
 
-void PERF_TEST::Test_Min(aclCxt *acl_context)
+void PERF_TEST::Test_Min(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
+  // vector<int> type{CV_32FC3};
-    //vector<int> type{CV_32FC3};
+  vector<int> type{CV_32FC3, CV_32SC3, CV_64FC3};
-    vector<int> type{CV_32FC3,CV_32SC3, CV_64FC3};
+  for (size_t i = 0; i < type.size(); ++i) {
-    for (size_t i = 0; i < type.size(); ++i)
+    for (val = 8; val <= valmax; val *= 2) {
-    {
+      n = cycle_index;
-        for (val = 8; val <= valmax; val *= 2)
+      Mat mat_src1(val, val, type[i]);
-        {
+      Mat mat_src2(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src1(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_src2(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src1, 32);
+      test.SetDataRange(mat_src1, 32);
-            test.SetDataRange(mat_src2, 32);
+      test.SetDataRange(mat_src2, 32);
-            test.SetDataRange(mat_dest, 32);
+      test.SetDataRange(mat_dest, 32);
 
-            aclMat aclmat_src1(val, val, type[i], mat_src2.data, acl_context);
+      aclMat aclmat_src1(val, val, type[i], mat_src2.data, acl_context);
-            aclMat aclmat_src2(val, val, type[i], mat_src1.data, acl_context);
+      aclMat aclmat_src2(val, val, type[i], mat_src1.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) cv::min(mat_src1, mat_src2, mat_dest);
-                cv::min(mat_src1, mat_src2, mat_dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            cv::acl::min(aclmat_src1, aclmat_src2, aclmat_dest);
+      cv::acl::min(aclmat_src1, aclmat_src2, aclmat_dest);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) cv::acl::min(aclmat_src1, aclmat_src2, aclmat_dest, 1);
-                cv::acl::min(aclmat_src1, aclmat_src2, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
+      ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
-
+  }
 }

acl/test/test_matrices.cpp

@@ -1,278 +1,239 @@
 #include "test_common.hpp"
 #include "test_perf.hpp"
 
-/*
+using namespace cv;
-//disable
+using namespace cv::acl;
-void PERF_TEST::Test_Lookuptable(aclCxt *acl_context_0)
+using namespace cvtest;
-{
+using namespace testing;
-    int type = CV_8UC1;
+using namespace std;
-    Common_Test test;
-    Mat mat_src(1, 256, type);
-    Mat mat_dest(1, 256, type);
-    Mat lookuptable(1, 256, type);
 
-    test.SetDataRange(mat_src, 32);
+void PERF_TEST::Test_Merge(aclCxt *acl_context) {
-    test.SetDataRange(lookuptable, 32);
+  int val, n;
+  int valmax = 8192;
+  int cycle_index = 10;
+  double begin, end, time, acltime;
+  Common_Test test;
 
-    aclMat aclmat_src(1, 256, type, mat_src.data, acl_context_0);
+  vector<int> srcType{CV_8UC1, CV_32FC1, CV_32SC1};
-    aclMat aclmat_dest(1, 256, type, mat_dest.data, acl_context_0);
-    aclMat lut(1, 256, type, lookuptable.data, acl_context_0);
-    // LUT(mat_src, lookuptable, mat_dest);
-    lookUpTable(aclmat_src, lut, aclmat_dest);
-    cout << mat_src << endl;
-    cout << lookuptable << endl;
-    cout << mat_dest << endl;
-}
-*/
 
+  // vector<int> destType{CV_32FC3};
+  vector<int> destType{CV_8UC3, CV_32FC3, CV_32SC3};
+  for (size_t i = 0; i < srcType.size(); ++i) {
+    test.PrintLog("Perf test : Function: merge()", srcType[i]);
+    for (val = 8; val <= valmax; val *= 2) {
+      n = cycle_index;
+      Mat mat_src1(val, val, srcType[i], Scalar(1));
+      Mat mat_src2(val, val, srcType[i], Scalar(2));
+      Mat mat_src3(val, val, srcType[i], Scalar(3));
+      Mat mat_dest(val, val, destType[i]);
+      Mat mat_dest1(val, val, destType[i]);
 
-void PERF_TEST::Test_Merge(aclCxt *acl_context)
+      test.SetDataRange(mat_src1, 32);
-{
+      test.SetDataRange(mat_src2, 32);
-    int val, n;
+      test.SetDataRange(mat_src3, 32);
-    int valmax = 8192;
-    int cycle_index = 10;
-    double begin, end, time, acltime;
-    Common_Test test;
 
+      aclMat aclmat_src1(val, val, srcType[i], mat_src1.data, acl_context);
+      aclMat aclmat_src2(val, val, srcType[i], mat_src2.data, acl_context);
+      aclMat aclmat_src3(val, val, srcType[i], mat_src3.data, acl_context);
+      aclMat aclmat_dest(val, val, destType[i], mat_dest.data, acl_context);
 
-    vector<int> srcType{CV_8UC1,CV_32FC1, CV_32SC1};
+      vector<Mat> src;
+      src.emplace_back(mat_src1);
+      src.emplace_back(mat_src2);
+      src.emplace_back(mat_src3);
 
-    //vector<int> destType{CV_32FC3};
+      vector<aclMat> acl_src;
-    vector<int> destType{CV_8UC3,CV_32FC3, CV_32SC3};
+      acl_src.emplace_back(aclmat_src1);
-    for (size_t i = 0; i < srcType.size(); ++i)
+      acl_src.emplace_back(aclmat_src2);
-    {
+      acl_src.emplace_back(aclmat_src3);
-        test.PrintLog("Perf test : Function: merge()", srcType[i]);
-        for (val = 8; val <= valmax; val *= 2)
-        {
-            n = cycle_index;
-            Mat mat_src1(val, val, srcType[i], Scalar(1));
-            Mat mat_src2(val, val, srcType[i], Scalar(2));
-            Mat mat_src3(val, val, srcType[i], Scalar(3));
-            Mat mat_dest(val, val, destType[i]);
-            Mat mat_dest1(val, val, destType[i]);
 
-            test.SetDataRange(mat_src1, 32);
+      begin = static_cast<double>(getTickCount());
-            test.SetDataRange(mat_src2, 32);
+      while (n--) merge(src, mat_dest);
-            test.SetDataRange(mat_src3, 32);
+      end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
 
-            aclMat aclmat_src1(val, val, srcType[i], mat_src1.data, acl_context);
+      n = (cycle_index - 1);
-            aclMat aclmat_src2(val, val, srcType[i], mat_src2.data, acl_context);
+      merge(acl_src, aclmat_dest);
-            aclMat aclmat_src3(val, val, srcType[i], mat_src3.data, acl_context);
+      wait_stream(acl_context);
-            aclMat aclmat_dest(val, val, destType[i], mat_dest.data, acl_context);
+      begin = static_cast<double>(getTickCount());
-
+      while (n--) merge(acl_src, aclmat_dest, 1);
-            vector<Mat> src;
+      wait_stream(acl_context, 1);
-            src.emplace_back(mat_src1);
+      end = static_cast<double>(getTickCount());
-            src.emplace_back(mat_src2);
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            src.emplace_back(mat_src3);
+      aclmat_dest.download(mat_dest1);
-
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            vector<aclMat> acl_src;
+      ASSERT_TRUE(ret);
-            acl_src.emplace_back(aclmat_src1);
+      if (val < 128)
-            acl_src.emplace_back(aclmat_src2);
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            acl_src.emplace_back(aclmat_src3);
+      else
-
+        cout << "Shape: " << val << " x " << val << "\t";
-            begin = static_cast<double>(getTickCount());
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-            while (n--)
+           << "\tRate: " << time / acltime << endl;
-                merge(src, mat_dest);
-            end = static_cast<double>(getTickCount());
-            time = (end - begin) / getTickFrequency() / cycle_index;
-
-            n = (cycle_index - 1);
-            merge(acl_src, aclmat_dest);
-            wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
-            while (n--)
-                merge(acl_src, aclmat_dest, 1);
-            wait_stream(acl_context, 1);
-            end = static_cast<double>(getTickCount());
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            aclmat_dest.download(mat_dest1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
-            if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
-            else
-                cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
-        }
     }
+  }
 }
 
+void PERF_TEST::Test_Transpose(aclCxt *acl_context) {
+  int val, n;
+  int valmax = 8192;
+  int cycle_index = 10;
+  double begin, end, time, acltime;
+  Common_Test test;
 
-void PERF_TEST::Test_Transpose(aclCxt *acl_context)
+  // vector<int> type{CV_32FC1};
-{
+  vector<int> type{CV_32FC1, CV_32SC1};
-    int val, n;
+  for (size_t i = 0; i < type.size(); ++i) {
-    int valmax = 8192;
+    test.PrintLog("Perf test : Function: transpose()", type[i]);
-    int cycle_index = 10;
+    for (val = 8; val <= valmax; val *= 2) {
-    double begin, end, time, acltime;
+      n = cycle_index;
-    Common_Test test;
+      Mat mat_src(val, val, type[i]);
+      Mat mat_dest(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
 
-    //vector<int> type{CV_32FC1};
+      test.SetDataRange(mat_src, 32);
-    vector<int> type{CV_32FC1,CV_32SC1};
-    for (size_t i = 0; i < type.size(); ++i)
-    {
-        test.PrintLog("Perf test : Function: transpose()", type[i]);
-        for (val = 8; val <= valmax; val *= 2)
-        {
-            n = cycle_index;
-            Mat mat_src(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 32);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      begin = static_cast<double>(getTickCount());
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      while (n--) transpose(mat_src, mat_dest);
+      end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
 
-            begin = static_cast<double>(getTickCount());
+      n = (cycle_index - 1);
-            while (n--)
+      transpose(aclmat_src, aclmat_dest);
-                transpose(mat_src, mat_dest);
+      wait_stream(acl_context);
-            end = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            time = (end - begin) / getTickFrequency() / cycle_index;
+      while (n--) transpose(aclmat_src, aclmat_dest, 1);
+      wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            n = (cycle_index - 1);
+      aclmat_dest.download(mat_dest1);
-            transpose(aclmat_src, aclmat_dest);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            wait_stream(acl_context);
+      ASSERT_TRUE(ret);
-            begin = static_cast<double>(getTickCount());
+      if (val < 128)
-            while (n--)
+        cout << "Shape: " << val << " x " << val << "\t\t";
-                transpose(aclmat_src, aclmat_dest, 1);
+      else
-            wait_stream(acl_context, 1);
+        cout << "Shape: " << val << " x " << val << "\t";
-            end = static_cast<double>(getTickCount());
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
+           << "\tRate: " << time / acltime << endl;
-
-            aclmat_dest.download(mat_dest1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
-            if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
-            else
-                cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
-        }
     }
+  }
 }
 
-void PERF_TEST::Test_Split(aclCxt *acl_context)
+void PERF_TEST::Test_Split(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 10;
-    int cycle_index = 10;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
 
-    //vector<int> srcType{CV_32FC3};
+  // vector<int> srcType{CV_32FC3};
-    vector<int> srcType{CV_8UC3,CV_32FC3, CV_32SC3};
+  vector<int> srcType{CV_8UC3, CV_32FC3, CV_32SC3};
-    vector<int> destType{CV_8UC1,CV_32FC1, CV_32SC1};
+  vector<int> destType{CV_8UC1, CV_32FC1, CV_32SC1};
-    for (size_t i = 0; i < srcType.size(); ++i)
+  for (size_t i = 0; i < srcType.size(); ++i) {
-    {
+    test.PrintLog("Perf test : Function: split()", srcType[i]);
-        test.PrintLog("Perf test : Function: split()", srcType[i]);
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      n = cycle_index;
-        {
+      Mat mat_src(val, val, srcType[i]);
-            n = cycle_index;
+      Mat mat_dest1(val, val, destType[i]);
-            Mat mat_src(val, val, srcType[i]);
+      Mat mat_dest2(val, val, destType[i]);
-            Mat mat_dest1(val, val, destType[i]);
+      Mat mat_dest3(val, val, destType[i]);
-            Mat mat_dest2(val, val, destType[i]);
-            Mat mat_dest3(val, val, destType[i]);
 
-            test.SetDataRange(mat_src, 32);
+      test.SetDataRange(mat_src, 32);
 
-            aclMat aclmat_src(val, val, srcType[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, srcType[i], mat_src.data, acl_context);
-            aclMat aclmat_dest1;
+      aclMat aclmat_dest1;
-            aclMat aclmat_dest2;
+      aclMat aclmat_dest2;
-            aclMat aclmat_dest3;
+      aclMat aclmat_dest3;
 
-            vector<Mat> dest;
+      vector<Mat> dest;
-            dest.emplace_back(mat_dest1);
+      dest.emplace_back(mat_dest1);
-            dest.emplace_back(mat_dest2);
+      dest.emplace_back(mat_dest2);
-            dest.emplace_back(mat_dest3);
+      dest.emplace_back(mat_dest3);
 
-            vector<aclMat> acl_dest;
+      vector<aclMat> acl_dest;
-            acl_dest.emplace_back(aclmat_dest1);
+      acl_dest.emplace_back(aclmat_dest1);
-            acl_dest.emplace_back(aclmat_dest2);
+      acl_dest.emplace_back(aclmat_dest2);
-            acl_dest.emplace_back(aclmat_dest3);
+      acl_dest.emplace_back(aclmat_dest3);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) split(mat_src, dest);
-                split(mat_src, dest);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            split(aclmat_src, acl_dest);
+      split(aclmat_src, acl_dest);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) split(aclmat_src, acl_dest, 1);
-                split(aclmat_src, acl_dest, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            (acl_dest.data())[0].download(mat_dest1);
+      (acl_dest.data())[0].download(mat_dest1);
-            (acl_dest.data())[1].download(mat_dest2);
+      (acl_dest.data())[1].download(mat_dest2);
-            (acl_dest.data())[2].download(mat_dest3);
+      (acl_dest.data())[2].download(mat_dest3);
 
-            bool ret = test.Test_Diff((dest.data())[0], mat_dest1);
+      bool ret = test.Test_Diff((dest.data())[0], mat_dest1);
-            ret &= test.Test_Diff((dest.data())[1], mat_dest2);
+      ret &= test.Test_Diff((dest.data())[1], mat_dest2);
-            ret &= test.Test_Diff((dest.data())[2], mat_dest3);
+      ret &= test.Test_Diff((dest.data())[2], mat_dest3);
-            ASSERT_TRUE(ret);
+      ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-
+           << "\tRate: " << time / acltime << endl;
-        }
     }
-
+  }
 }
 
-void PERF_TEST::Test_Flip(aclCxt *acl_context)
+void PERF_TEST::Test_Flip(aclCxt *acl_context) {
-{
+  int val, n;
-    int val, n;
+  int valmax = 8192;
-    int valmax = 8192;
+  int cycle_index = 100;
-    int cycle_index = 100;
+  double begin, end, time, acltime;
-    double begin, end, time, acltime;
+  Common_Test test;
-    Common_Test test;
 
-    vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1, CV_64FC1};
+  vector<int> type{CV_8UC1, CV_32FC1, CV_32SC1, CV_64FC1};
-    for (size_t i = 0; i < type.size(); ++i)
+  for (size_t i = 0; i < type.size(); ++i) {
-    {
+    test.PrintLog("Perf test : Function: flip()", type[i]);
-        test.PrintLog("Perf test : Function: flip()", type[i]);
+    for (val = 8; val <= valmax; val *= 2) {
-        for (val = 8; val <= valmax; val *= 2)
+      n = cycle_index;
-        {
+      Mat mat_src(val, val, type[i]);
-            n = cycle_index;
+      Mat mat_dest(val, val, type[i]);
-            Mat mat_src(val, val, type[i]);
+      Mat mat_dest1(val, val, type[i]);
-            Mat mat_dest(val, val, type[i]);
-            Mat mat_dest1(val, val, type[i]);
 
-            test.SetDataRange(mat_src, 32);
+      test.SetDataRange(mat_src, 32);
 
-            aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
+      aclMat aclmat_src(val, val, type[i], mat_src.data, acl_context);
-            aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
+      aclMat aclmat_dest(val, val, type[i], mat_dest.data, acl_context);
 
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) flip(mat_src, mat_dest, 0);
-                flip(mat_src, mat_dest, 0);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      time = (end - begin) / getTickFrequency() / cycle_index;
-            time = (end - begin) / getTickFrequency() / cycle_index;
 
-            n = (cycle_index - 1);
+      n = (cycle_index - 1);
-            flip(aclmat_src, aclmat_dest, 0);
+      flip(aclmat_src, aclmat_dest, 0);
-            wait_stream(acl_context);
+      wait_stream(acl_context);
-            begin = static_cast<double>(getTickCount());
+      begin = static_cast<double>(getTickCount());
-            while (n--)
+      while (n--) flip(aclmat_src, aclmat_dest, 0, 1);
-                flip(aclmat_src, aclmat_dest, 0, 1);
+      wait_stream(acl_context, 1);
-            wait_stream(acl_context, 1);
+      end = static_cast<double>(getTickCount());
-            end = static_cast<double>(getTickCount());
+      acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
-            acltime = (end - begin) / getTickFrequency() / (cycle_index - 1);
 
-            aclmat_dest.download(mat_dest1);
+      aclmat_dest.download(mat_dest1);
-            bool ret = test.Test_Diff(mat_dest, mat_dest1);
+      bool ret = test.Test_Diff(mat_dest, mat_dest1);
-            ASSERT_TRUE(ret);
+      ASSERT_TRUE(ret);
-            if (val < 128)
+      if (val < 128)
-                cout << "Shape: " << val << " x " << val << "\t\t";
+        cout << "Shape: " << val << " x " << val << "\t\t";
-            else
+      else
-                cout << "Shape: " << val << " x " << val << "\t";
+        cout << "Shape: " << val << " x " << val << "\t";
-            cout << "CpuTimes: " << time << "\tAclTimes: " << acltime << "\tRate: " << time / acltime << endl;
+      cout << "CpuTimes: " << time << "\tAclTimes: " << acltime
-        }
+           << "\tRate: " << time / acltime << endl;
     }
+  }
 }

acl/test/test_perf.hpp

@@ -3,31 +3,30 @@
 
 #include "test_precomp.hpp"
 
-class PERF_TEST
+class PERF_TEST {
-{
+ public:
-public:
+  CV_EXPORTS void Test_operator_add_perf(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_operator_add_perf(aclCxt *acl_context);
+  CV_EXPORTS void Test_operator_sub_perf(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_operator_sub_perf(aclCxt *acl_context);
+  CV_EXPORTS void Test_operator_div_perf(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_operator_div_perf(aclCxt *acl_context);
+  CV_EXPORTS void Test_operator_mul_perf(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_operator_mul_perf(aclCxt *acl_context);
+  CV_EXPORTS void Test_Abs(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Abs(aclCxt *acl_context);
+  CV_EXPORTS void Test_Pow(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Pow(aclCxt *acl_context);
+  CV_EXPORTS void Test_Sqrt(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Sqrt(aclCxt *acl_context);
+  CV_EXPORTS void Test_Add(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Add(aclCxt *acl_context);
+  CV_EXPORTS void Test_Divide(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Divide(aclCxt *acl_context);
+  CV_EXPORTS void Test_Exp(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Exp(aclCxt *acl_context);
+  CV_EXPORTS void Test_Log(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Log(aclCxt *acl_context);
+  CV_EXPORTS void Test_Max(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Max(aclCxt *acl_context);
+  CV_EXPORTS void Test_Min(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Min(aclCxt *acl_context);
 
-    CV_EXPORTS void Test_MatMul(aclCxt *acl_context);
+  CV_EXPORTS void Test_MatMul(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Convolution(aclCxt *acl_context);
+  CV_EXPORTS void Test_Convolution(cv::acl::aclCxt *acl_context);
 
-    CV_EXPORTS void Test_Lookuptable(aclCxt *acl_context);
+  CV_EXPORTS void Test_Lookuptable(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Merge(aclCxt *acl_context);
+  CV_EXPORTS void Test_Merge(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Split(aclCxt *acl_context);
+  CV_EXPORTS void Test_Split(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Transpose(aclCxt *acl_context);
+  CV_EXPORTS void Test_Transpose(cv::acl::aclCxt *acl_context);
-    CV_EXPORTS void Test_Flip(aclCxt *acl_context);
+  CV_EXPORTS void Test_Flip(cv::acl::aclCxt *acl_context);
 };
 
 #endif

acl/test/test_precomp.hpp

@@ -1,27 +1,21 @@
 // This file is part of OpenCV project.
-// It is subject to the license terms in the LICENSE file found in the top-level directory
+// It is subject to the license terms in the LICENSE file found in the top-level
-// of this distribution and at http://opencv.org/license.html.
+// directory of this distribution and at http://opencv.org/license.html.
 #ifndef __OPENCV_TEST_PRECOMP_HPP__
 #define __OPENCV_TEST_PRECOMP_HPP__
+#include <iomanip>
 #include <iostream>
 #include <mutex>
 #include <thread>
-#include <iomanip>
 
-#include "opencv2/core.hpp"
-#include "opencv2/ts.hpp"
-#include "opencv2/imgproc.hpp"
-#include "opencv2/highgui.hpp"
-#include "opencv2/videoio.hpp"
-#include "sys/time.h"
-#include "opencv2/acl/acl.hpp"
 #include "acl/acl.h"
 #include "acl/acl_op_compiler.h"
-
+#include "opencv2/acl/acl.hpp"
-using namespace cv;
+#include "opencv2/core.hpp"
-using namespace cv::acl;
+#include "opencv2/highgui.hpp"
-using namespace cvtest;
+#include "opencv2/imgproc.hpp"
-using namespace testing;
+#include "opencv2/ts.hpp"
-using namespace std;
+#include "opencv2/videoio.hpp"
+#include "sys/time.h"
 
 #endif