build(cuda): support cu111 build

GitOrigin-RevId: b3067ba4d5

CMakeLists.txt

@@ -39,6 +39,9 @@ option(MGE_DISABLE_FLOAT16 "Disable MegEngine float16 support." OFF)
 option(MGE_WITH_CUDA "Enable MegEngine CUDA support." ON)
 option(MGE_CUDA_USE_STATIC "Enable MegEngine CUDA static linking." ON)
 option(MGE_WITH_TRT "Build MegEngine with TensorRT." ON)
+option(MGE_WITH_CUDA_STUB "Build MegEngine with CUDA stub." ON)
+option(MGE_WITH_NVRTC_STUB "Build MegEngine with NVRTC stub." OFF)
+option(MGE_WITH_CUDNN_SHARED "Build MegEngine with CUDNN shared." OFF)
 option(MGE_USE_SYSTEM_LIB "Build MegEngine with system libraries." OFF)
 option(MGB_WITH_FLATBUFFERS "Build MegBrain with FlatBuffers serialization support." ON)
 option(MGE_WITH_CAMBRICON "Build MegEngine with Cambricon support" OFF)
@@ -55,6 +58,14 @@ option(MGE_BUILD_SDK "Build load_and_run" ON)
 option(MGE_INFERENCE_ONLY "Build inference only library." OFF)
 option(MGE_WITH_MKLDNN "Enable Intel MKL_DNN support," ON)
 option(MGE_WITH_ROCM "Enable ROCM support" OFF)
+option(MGE_WITH_LARGE_ARCHIVE "Enable big archive link support" OFF)
+
+
+if(MGE_WITH_NVRTC_STUB OR MGE_WITH_CUDA_STUB)
+    set(MGE_WITH_ANY_CUDA_STUB ON)
+else()
+    set(MGE_WITH_ANY_CUDA_STUB OFF)
+endif()
 
 if(NOT ${MGE_BIN_REDUCE} STREQUAL "")
     message(STATUS "build with BIN REDUCE")
@@ -205,14 +216,24 @@ else()
     endif()
 endif()
 
+if(MGE_WITH_CUDA)
+include(cmake/cudnn.cmake)
+    if(MGE_CUDA_USE_STATIC AND ("${CUDNN_VERSION}" VERSION_GREATER "8.0.0" OR "${CUDNN_VERSION}" VERSION_EQUAL "8.0.0") AND (NOT MGE_WITH_CUDNN_SHARED))
+        message(WARNING "Static link CUDNN8 will auto enable MGE_WITH_LARGE_ARCHIVE=ON")
+        set(MGE_WITH_LARGE_ARCHIVE ON)
+    endif()
+endif()
 CHECK_CXX_COMPILER_FLAG(-fuse-ld=gold CXX_SUPPORT_GOLD)
-if(CXX_SUPPORT_GOLD AND NOT ANDROID AND NOT APPLE AND NOT MSVC AND NOT WIN32)
+if(MGE_WITH_LARGE_ARCHIVE)
+    message(STATUS "Set -mcmodel=large and disable -fuse-ld=gold")
+    set(MGE_COMMON_LINKER_FLAGS "-mcmodel=large")
+elseif(CXX_SUPPORT_GOLD AND NOT ANDROID AND NOT APPLE AND NOT MSVC AND NOT WIN32 AND NOT MGE_WITH_LARGE_ARCHIVE)
     message(STATUS "Using GNU gold linker.")
-    set(MGE_COMMON_LINKER_FLAGS "-fuse-ld=gold")
-    set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} ${MGE_COMMON_LINKER_FLAGS}")
-    set(CMAKE_MODULE_LINKER_FLAGS "${CMAKE_MODULE_LINKER_FLAGS} ${MGE_COMMON_LINKER_FLAGS}")
-    set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} ${MGE_COMMON_LINKER_FLAGS}")
+    set(MGE_COMMON_LINKER_FLAGS "-fuse-ld=gold")    
 endif()
+set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} ${MGE_COMMON_LINKER_FLAGS}")
+set(CMAKE_MODULE_LINKER_FLAGS "${CMAKE_MODULE_LINKER_FLAGS} ${MGE_COMMON_LINKER_FLAGS}")
+set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} ${MGE_COMMON_LINKER_FLAGS}")
 
 if(NOT MGE_WITH_JIT)
     if(MGE_WITH_HALIDE)
@@ -353,11 +374,28 @@ if(MGE_WITH_CUDA)
     if(NOT MGE_ENABLE_EXCEPTIONS)
         set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -Xcompiler -fno-exceptions")
     endif()
-
     if(NOT MGE_CUDA_GENCODE)
         if(${MGE_ARCH} STREQUAL "x86_64" OR ${MGE_ARCH} STREQUAL "i386")
             set(MEGDNN_THREADS_512 0)
-            if(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER "10.0.0" OR ${CMAKE_CUDA_COMPILER_VERSION} VERSION_EQUAL "10.0.0")
+            if(MGE_WITH_CUDA AND MGE_CUDA_USE_STATIC AND ("${CUDNN_VERSION}" VERSION_GREATER "8.0.0" OR "${CUDNN_VERSION}" VERSION_EQUAL "8.0.0") AND (NOT MGE_WITH_CUDNN_SHARED))
+                message(WARNING "Static link CUDNN8 with many sm is unworkable, we only enable sm61 sm70 sm75 by default, and enable MGE_WITH_LARGE_ARCHIVE=ON")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_61,code=sm_61")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_70,code=sm_70")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_75,code=sm_75")
+            elseif(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER "11.1.0" OR ${CMAKE_CUDA_COMPILER_VERSION} VERSION_EQUAL "11.1.0")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_61,code=sm_61")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_70,code=sm_70")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_75,code=sm_75")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_80,code=sm_80")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_86,code=sm_86")                
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_86,code=compute_86")
+            elseif(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER "11.0.0" OR ${CMAKE_CUDA_COMPILER_VERSION} VERSION_EQUAL "11.0.0")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_61,code=sm_61")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_70,code=sm_70")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_75,code=sm_75")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_80,code=sm_80")
+                set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_80,code=compute_80")
+            elseif(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER "10.0.0" OR ${CMAKE_CUDA_COMPILER_VERSION} VERSION_EQUAL "10.0.0")
                 set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_52,code=sm_52")
                 set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_60,code=sm_60")
                 set(MGE_CUDA_GENCODE "${MGE_CUDA_GENCODE} -gencode arch=compute_61,code=sm_61")
@@ -385,7 +423,6 @@ if(MGE_WITH_CUDA)
     endif()
 
     set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} ${MGE_CUDA_GENCODE}")
-    include(cmake/cudnn.cmake)
     if(MGE_WITH_TRT)
         include(cmake/tensorrt.cmake)
     endif()
@@ -394,12 +431,30 @@ if(MGE_WITH_CUDA)
             if(MSVC OR WIN32)
                 list(APPEND MGE_CUDA_LIBS ${TRT_LIBRARY} ${CUDNN_LIBRARY})
                 message(STATUS "windows TRT_LIBRARY: ${TRT_LIBRARY}")
+            else()                
+                if(TensorRT_VERSION_MAJOR GREATER_EQUAL 7)
+                    list(APPEND MGE_CUDA_LIBS -Wl,--whole-archive libnvinfer myelin_compiler_static myelin_executor_static myelin_pattern_runtime_static myelin_pattern_library_static -Wl,--no-whole-archive)
+                else()
+                    list(APPEND MGE_CUDA_LIBS -Wl,--whole-archive libnvinfer -Wl,--no-whole-archive)
+                endif()                
+            endif()
+        endif()
+        
+        if("${CUDNN_VERSION}" STREQUAL "7.5.0")
+            if(MSVC OR WIN32)
                 message(STATUS "windows CUDNN_LIBRARY: ${CUDNN_LIBRARY}")
+                list(APPEND MGE_CUDA_LIBS ${CUDNN_LIBRARY})
             else()
-                list(APPEND MGE_CUDA_LIBS -Wl,--whole-archive libnvinfer libcudnn -Wl,--no-whole-archive)
+                message(STATUS "cudnn 7.5.0 has bug in cudnnConvolutionBiasActivationForward, need --whole-archive to workaround, ref https://docs.nvidia.com/deeplearning/cudnn/release-notes/rel_7xx.html")
+                list(APPEND MGE_CUDA_LIBS -Wl,--whole-archive libcudnn -Wl,--no-whole-archive)
             endif()
         else()
-            list(APPEND MGE_CUDA_LIBS -Wl,--whole-archive libcudnn -Wl,--no-whole-archive)
+            if(MSVC OR WIN32)
+                message(STATUS "windows CUDNN_LIBRARY: ${CUDNN_LIBRARY}")
+                list(APPEND MGE_CUDA_LIBS ${CUDNN_LIBRARY})
+            else()
+                list(APPEND MGE_CUDA_LIBS libcudnn)
+            endif()
         endif()
         if(MSVC OR WIN32)
             list(APPEND MGE_CUDA_LIBS cusolver.lib cublas.lib curand.lib cudart_static.lib cusparse.lib)
@@ -447,15 +502,37 @@ if(MGE_WITH_CUDA)
         if(${CMAKE_CUDA_COMPILER_VERSION} VERSION_GREATER "10.1.0" OR ${CMAKE_CUDA_COMPILER_VERSION} VERSION_EQUAL "10.1.0")
             list(APPEND MGE_CUDA_LIBS cublasLt cusolver cublas curand)
         endif()
+        list(APPEND MGE_CUDA_LIBS cudart)
+    endif()
+
+    if(NOT MGE_WITH_CUDA_STUB)
+        if(MSVC OR WIN32)
+            list(APPEND MGE_CUDA_LIBS cuda.lib)
+        else()
+            list(APPEND MGE_CUDA_LIBS cuda)
+        endif()
+    endif()
+
+    if(NOT MGE_WITH_NVRTC_STUB)
+        if(MSVC OR WIN32)
+            list(APPEND MGE_CUDA_LIBS nvrtc.lib)
+        else()
+            list(APPEND MGE_CUDA_LIBS nvrtc)
+        endif()
+    endif()
+
+    if(MGE_WITH_ANY_CUDA_STUB)
+        add_subdirectory(dnn/cuda-stub)
+        list(APPEND MGE_CUDA_LIBS cuda-stub)
     endif()
 
-    add_subdirectory(dnn/cuda-stub)
     if(MSVC OR WIN32)
-        list(APPEND MGE_CUDA_LIBS nvrtc.lib cuda-stub)
+        list(APPEND MGE_CUDA_LIBS nvrtc.lib)
     else()
-        list(APPEND MGE_CUDA_LIBS nvrtc cuda-stub nvToolsExt)
+        list(APPEND MGE_CUDA_LIBS nvToolsExt)
     endif()
-    set(MGE_CUDA_LIBS "${MGE_CUDA_LIBS}")
+    
+    set(MGE_CUDA_LIBS "${MGE_CUDA_LIBS} -lrt")
 endif()
 
 if(MGE_WITH_CAMBRICON)
@@ -800,6 +877,9 @@ if(TARGET _imperative_rt)
         COMMAND ${CMAKE_COMMAND} -E create_symlink
           ${CMAKE_CURRENT_BINARY_DIR}/imperative/python/${PACKAGE_NAME}/core/$<TARGET_FILE_NAME:${MODULE_NAME}>
           ${CMAKE_CURRENT_SOURCE_DIR}/imperative/python/${PACKAGE_NAME}/core/$<TARGET_FILE_NAME:${MODULE_NAME}>
+        COMMAND ${CMAKE_COMMAND} -E create_symlink
+          ${CMAKE_CURRENT_BINARY_DIR}/imperative/python/${PACKAGE_NAME}/version.py
+          ${CMAKE_CURRENT_SOURCE_DIR}/imperative/python/${PACKAGE_NAME}/version.py
         DEPENDS _imperative_rt
         VERBATIM
     )
@@ -863,3 +943,9 @@ if(MGE_WITH_JIT_MLIR)
     add_subdirectory(tools/mlir/mgb-opt)
     add_subdirectory(tools/mlir/mgb-file-check)
 endif()
+
+if(MGE_WITH_CUDA AND MGE_CUDA_USE_STATIC AND("${CUDNN_VERSION}" VERSION_GREATER "8.0.0" OR "${CUDNN_VERSION}" VERSION_EQUAL "8.0.0") AND (NOT MGE_WITH_CUDNN_SHARED))
+    message(WARNING "Static link CUDNN8 with many sm is unworkable, please use -DMGE_WITH_CUDNN_SHARED=ON or -DMGE_WITH_LARGE_ARCHIVE=ON -DMGE_CUDA_GENCODE=\"-gencode arch=compute_70,code=sm_70 arch=compute_75,code=sm_75\" ")
+    message(WARNING "Static link CUDNN8 with many sm is unworkable, please use -DMGE_WITH_CUDNN_SHARED=ON or -DMGE_WITH_LARGE_ARCHIVE=ON -DMGE_CUDA_GENCODE=\"-gencode arch=compute_70,code=sm_70 arch=compute_75,code=sm_75\" ")
+    message(WARNING "Static link CUDNN8 with many sm is unworkable, please use -DMGE_WITH_CUDNN_SHARED=ON or -DMGE_WITH_LARGE_ARCHIVE=ON -DMGE_CUDA_GENCODE=\"-gencode arch=compute_70,code=sm_70 arch=compute_75,code=sm_75\" ")
+endif()

cmake/cudnn.cmake

@@ -11,7 +11,7 @@ if("${CUDNN_ROOT_DIR}" STREQUAL "" AND NOT "$ENV{CUDNN_ROOT_DIR}"  STREQUAL "")
     set(CUDNN_ROOT_DIR $ENV{CUDNN_ROOT_DIR})
 endif()
 
-if(MGE_CUDA_USE_STATIC)
+if(MGE_CUDA_USE_STATIC AND NOT MGE_WITH_CUDNN_SHARED)
     find_library(CUDNN_LIBRARY 
         NAMES libcudnn_static.a cudnn.lib
         PATHS $ENV{LD_LIBRARY_PATH} ${CUDNN_ROOT_DIR} ${PC_CUDNN_LIBRARY_DIRS} ${CMAKE_INSTALL_PREFIX}
@@ -42,7 +42,12 @@ if(CUDNN_INCLUDE_DIR STREQUAL "CUDNN_INCLUDE_DIR-NOTFOUND")
     message(FATAL_ERROR "Can not find CuDNN Library")
 endif()
 
-file(READ ${CUDNN_INCLUDE_DIR}/cudnn.h CUDNN_VERSION_FILE_CONTENTS)
+if(EXISTS ${CUDNN_INCLUDE_DIR}/cudnn_version.h)
+    file(READ ${CUDNN_INCLUDE_DIR}/cudnn_version.h CUDNN_VERSION_FILE_CONTENTS)
+else()
+    file(READ ${CUDNN_INCLUDE_DIR}/cudnn.h CUDNN_VERSION_FILE_CONTENTS)
+endif()
+
 string(REGEX MATCH "define CUDNN_MAJOR * +([0-9]+)"
     CUDNN_MAJOR_VERSION "${CUDNN_VERSION_FILE_CONTENTS}")
 string(REGEX REPLACE "define CUDNN_MAJOR * +([0-9]+)" "\\1"
@@ -55,7 +60,9 @@ string(REGEX MATCH "define CUDNN_PATCHLEVEL * +([0-9]+)"
     CUDNN_PATCH_VERSION "${CUDNN_VERSION_FILE_CONTENTS}")
 string(REGEX REPLACE "define CUDNN_PATCHLEVEL * +([0-9]+)" "\\1"
     CUDNN_PATCH_VERSION "${CUDNN_PATCH_VERSION}")  
-set(CUDNN_VERSION ${CUDNN_MAJOR_VERSION}.${CUDNN_MINOR_VERSION})
+set(CUDNN_VERSION ${CUDNN_MAJOR_VERSION}.${CUDNN_MINOR_VERSION}.${CUDNN_PATCH_VERSION})
+
+
 
 if(MGE_CUDA_USE_STATIC)
     add_library(libcudnn STATIC IMPORTED)

dnn/cuda-stub/CMakeLists.txt

@@ -1,11 +1,21 @@
-file (GLOB_RECURSE SOURCES src/*.cpp)
+file (GLOB_RECURSE CUDA_STUB src/libcuda.cpp)
+file (GLOB_RECURSE NVRTC_STUB src/libnvrtc.cpp)
+
+if(MGE_WITH_CUDA_STUB)
+    list(APPEND STUB_SRC ${CUDA_STUB})
+endif()
+
+if(MGE_WITH_NVRTC_STUB)
+    list(APPEND STUB_SRC ${NVRTC_STUB})
+endif()
 
 if(MSVC OR WIN32)
-    add_library (cuda-stub STATIC ${SOURCES})
+    add_library (cuda-stub STATIC ${STUB_SRC})
 else()
-    add_library (cuda-stub SHARED ${SOURCES})
+    add_library (cuda-stub SHARED ${STUB_SRC})
 endif()
-set_target_properties(cuda-stub PROPERTIES OUTPUT_NAME cuda)
+
+set_target_properties(cuda-stub PROPERTIES OUTPUT_NAME cuda_stub)
 target_compile_definitions(cuda-stub PRIVATE __CUDA_API_VERSION_INTERNAL)
 if (MSVC OR WIN32)
     target_link_libraries(cuda-stub PRIVATE -Wl,--no-undefined)

dnn/cuda-stub/src/dlopen_helper.h

@@ -0,0 +1,109 @@
+#if defined(_WIN32)
+#include <windows.h>
+#define RTLD_LAZY 0
+
+static void* dlopen(const char* file, int) {
+    return static_cast<void*>(LoadLibraryA(file));
+}
+
+static void* dlerror() {
+    const char* errmsg = "dlerror not aviable in windows";
+    return const_cast<char*>(errmsg);
+}
+
+static void* dlsym(void* handle, const char* name) {
+    FARPROC symbol = GetProcAddress((HMODULE)handle, name);
+    return reinterpret_cast<void*>(symbol);
+}
+
+#else
+#include <dlfcn.h>
+#include <unistd.h>
+#endif
+
+#include <sstream>
+#include <string>
+#include <vector>
+static std::vector<std::string> split_string(const std::string& s, char delim) {
+    std::vector<std::string> elems;
+    std::stringstream ss(s);
+    std::string item;
+    while (std::getline(ss, item, delim)) {
+        elems.push_back(item);
+    }
+    return elems;
+}
+
+static std::vector<std::string> get_env_dir(const char* env_name) {
+    const char* env_p = std::getenv(env_name);
+    std::vector<std::string> env_dir;
+    if (env_p) {
+        env_dir = split_string(env_p, ':');
+    }
+    return env_dir;
+}
+
+static void* try_open_handle(std::vector<std::string> dir_vec,
+                             std::string default_so_name) {
+    void* handle = nullptr;
+    for (auto& tk_path : dir_vec) {
+        handle = dlopen((tk_path + "/" + default_so_name).c_str(), RTLD_LAZY);
+        if (handle) {
+            break;
+        }
+    }
+    return handle;
+}
+
+static void* try_open_handle(const char** so_vec, int nr_so) {
+    void* handle = nullptr;
+    for (int i = 0; i < nr_so; ++i) {
+        handle = dlopen(so_vec[i], RTLD_LAZY);
+        if (handle) {
+            break;
+        }
+    }
+    return handle;
+}
+
+static void* get_library_handle() {
+    std::vector<std::string> cuda_tk_dir = get_env_dir("CUDA_TK_PATH");
+    std::vector<std::string> ld_dir = get_env_dir("LD_LIBRARY_PATH");
+    void* handle = nullptr;
+    if (!handle) {
+        handle = try_open_handle(ld_dir, default_so_name);
+    }
+    if (!handle) {
+        handle = try_open_handle(cuda_tk_dir, default_so_name);
+    }
+    if (!handle) {
+        handle = try_open_handle(default_so_paths,
+                                 sizeof(default_so_paths) / sizeof(char*));
+    }
+    if (!handle) {
+        handle = try_open_handle(extra_so_paths,
+                                 sizeof(extra_so_paths) / sizeof(char*));
+    }
+    if (!handle) {
+        LOGE("Failed to load %s API library", g_default_api_name);
+        return nullptr;
+    }
+    return handle;
+}
+
+static void log_failed_load(int func_idx) {
+    LOGE("failed to load %s func: %s", g_default_api_name,
+         g_func_name[func_idx]);
+}
+
+static void* resolve_library_func(void* handle, const char* func) {
+    if (!handle) {
+        LOGE("%s handle should not be nullptr!", g_default_api_name);
+        return nullptr;
+    }
+    auto ret = dlsym(handle, func);
+    if (!ret) {
+        LOGE("failed to load %s func: %s", g_default_api_name, func);
+    }
+    return ret;
+}

dnn/cuda-stub/src/libcuda.cpp

@@ -3,36 +3,14 @@
 #include <cstdio>
 #define LOGE(fmt, v...) fprintf(stderr, "err: " fmt "\n", ##v)
 
+
 extern "C" {
-#include <cuda.h>
+#include "cuda.h"
 }
-#include <cudaProfiler.h>
+#include "cudaProfiler.h"
 
 #pragma GCC diagnostic ignored "-Wdeprecated-declarations"
 
-#if defined(_WIN32)
-#include <windows.h>
-#define RTLD_LAZY 0
-
-static void* dlopen(const char* file, int) {
-    return static_cast<void*>(LoadLibraryA(file));
-}
-
-static void* dlerror() {
-    const char* errmsg = "dlerror not aviable in windows";
-    return const_cast<char*>(errmsg);
-}
-
-static void* dlsym(void* handle, const char* name) {
-    FARPROC symbol = GetProcAddress((HMODULE)handle, name);
-    return reinterpret_cast<void*>(symbol);
-}
-
-#else
-#include <dlfcn.h>
-#include <unistd.h>
-#endif
-
 static void log_failed_load(int func_idx);
 namespace {
 template <typename T>
@@ -42,68 +20,63 @@ CUresult on_init_failed(int func_idx) {
     log_failed_load(func_idx);
     return CUDA_ERROR_UNKNOWN;
 }
-}
+
+}  // namespace
 
 #define _WRAPLIB_API_CALL CUDAAPI
 #define _WRAPLIB_CALLBACK CUDA_CB
-#include "./libcuda-wrap.h"
+
+#if CUDA_VERSION == 10010
+#include "./libcuda-wrap_10.1.h"
+#elif CUDA_VERSION == 10020
+#include "./libcuda-wrap_10.2.h"
+#elif CUDA_VERSION == 11010
+#include "./libcuda-wrap_11.1.h"
+#elif CUDA_VERSION == 11020
+#include "./libcuda-wrap_11.2.h"
+#else
+#error "cuda stub not support this cuda version, you can close cuda stub to passby"
+#endif
+
+
 #undef _WRAPLIB_CALLBACK
 #undef _WRAPLIB_API_CALL
 
+static const char* default_so_name =
+#if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
+        "nvcuda.dll";
+#elif defined(__APPLE__) || defined(__MACOSX)
+        "libcuda.dylib";
+#else
+        "libcuda.so.1";
+#endif
+
 // Harvested from cuda_drvapi_dynlink.c
 static const char* default_so_paths[] = {
 #if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
-    "nvcuda.dll",
-#elif defined(__unix__) || defined (__QNX__) || defined(__APPLE__) || defined(__MACOSX)
+        "nvcuda.dll",
+#elif defined(__unix__) || defined(__QNX__) || defined(__APPLE__) || \
+        defined(__MACOSX)
 #if defined(__APPLE__) || defined(__MACOSX)
-    "/usr/local/cuda/lib/libcuda.dylib",
+        "/usr/local/cuda/lib/libcuda.dylib",
 #elif defined(__ANDROID__)
-#if defined (__aarch64__)
-    "/system/vendor/lib64/libcuda.so",
+#if defined(__aarch64__)
+        "/system/vendor/lib64/libcuda.so",
 #elif defined(__arm__)
-    "/system/vendor/lib/libcuda.so",
+        "/system/vendor/lib/libcuda.so",
 #endif
 #else
-    "libcuda.so.1",
-    
-    // In case some users does not have correct search path configured in
-    // /etc/ld.so.conf
-    "/usr/lib/x86_64-linux-gnu/libcuda.so",
-    "/usr/local/nvidia/lib64/libcuda.so",
+        "libcuda.so.1",
 #endif
 #else
 #error "Unknown platform"
 #endif
 };
 
-static void* get_library_handle() {
-    void* handle = nullptr;
-    for (size_t i = 0; i < (sizeof(default_so_paths) / sizeof(char*)); i++) {
-        handle = dlopen(default_so_paths[i], RTLD_LAZY);
-        if (handle) {
-            break;
-        }
-    }
-
-    if (!handle) {
-        LOGE("Failed to load CUDA Driver API library");
-        return nullptr;
-    }
-    return handle;
-}
-
-static void log_failed_load(int func_idx) {
-    LOGE("failed to load cuda func: %s", g_func_name[func_idx]);
-}
+static const char* extra_so_paths[] = {
+        "/usr/lib/x86_64-linux-gnu/libcuda.so",
+        "/usr/local/nvidia/lib64/libcuda.so",
+};
 
-static void* resolve_library_func(void* handle, const char* func) {
-    if (!handle) {
-        LOGE("handle should not be nullptr!");
-        return nullptr;
-    }
-    auto ret = dlsym(handle, func);
-    if (!ret) {
-        LOGE("failed to load cuda func: %s", func);
-    }
-    return ret;
-}
+static const char* g_default_api_name = "cuda";
+#include "./dlopen_helper.h"

dnn/cuda-stub/src/libnvrtc-wrap.h

@@ -0,0 +1,367 @@
+// generated by wraplib.py
+// --- begin functions to be implemented
+#ifndef _WRAPLIB_API_CALL
+#define _WRAPLIB_API_CALL
+#endif
+#ifndef _WRAPLIB_CALLBACK
+#define _WRAPLIB_CALLBACK
+#endif
+#ifndef ON_ENTRY
+#define ON_ENTRY(x)
+#endif
+static void* get_library_handle();
+static void* resolve_library_func(void*, const char*);
+namespace {
+template <typename T>
+T on_init_failed(int func_idx);
+}
+// --- end functions to be implemented
+#include <cstddef>
+#include <mutex>
+extern "C" {
+const char _WRAPLIB_API_CALL* nvrtcGetErrorString(nvrtcResult arg0);
+nvrtcResult _WRAPLIB_API_CALL nvrtcVersion(int* arg0, int* arg1);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetNumSupportedArchs(int* arg0);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetSupportedArchs(int* arg0);
+nvrtcResult _WRAPLIB_API_CALL nvrtcCreateProgram(nvrtcProgram* arg0,
+                                                 const char* arg1,
+                                                 const char* arg2, int arg3,
+                                                 const char* const* arg4,
+                                                 const char* const* arg5);
+nvrtcResult _WRAPLIB_API_CALL nvrtcDestroyProgram(nvrtcProgram* arg0);
+nvrtcResult _WRAPLIB_API_CALL nvrtcCompileProgram(nvrtcProgram arg0, int arg1,
+                                                  const char* const* arg2);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetPTXSize(nvrtcProgram arg0, size_t* arg1);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetPTX(nvrtcProgram arg0, char* arg1);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetCUBINSize(nvrtcProgram arg0,
+                                                size_t* arg1);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetCUBIN(nvrtcProgram arg0, char* arg1);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetProgramLogSize(nvrtcProgram arg0,
+                                                     size_t* arg1);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetProgramLog(nvrtcProgram arg0, char* arg1);
+nvrtcResult _WRAPLIB_API_CALL nvrtcAddNameExpression(nvrtcProgram arg0,
+                                                     const char* const arg1);
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetLoweredName(nvrtcProgram arg0,
+                                                  const char* const arg1,
+                                                  const char** arg2);
+}
+static void load_library();
+static const char _WRAPLIB_API_CALL* nvrtcGetErrorString_init(
+        nvrtcResult arg0) {
+    load_library();
+    return nvrtcGetErrorString(arg0);
+}
+static const char _WRAPLIB_API_CALL* nvrtcGetErrorString_error(nvrtcResult) {
+    return on_init_failed<const char*>(0);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcVersion_init(int* arg0, int* arg1) {
+    load_library();
+    return nvrtcVersion(arg0, arg1);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcVersion_error(int*, int*) {
+    return on_init_failed<nvrtcResult>(1);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetNumSupportedArchs_init(int* arg0) {
+    load_library();
+    return nvrtcGetNumSupportedArchs(arg0);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetNumSupportedArchs_error(int*) {
+    return on_init_failed<nvrtcResult>(2);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetSupportedArchs_init(int* arg0) {
+    load_library();
+    return nvrtcGetSupportedArchs(arg0);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetSupportedArchs_error(int*) {
+    return on_init_failed<nvrtcResult>(3);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcCreateProgram_init(
+        nvrtcProgram* arg0, const char* arg1, const char* arg2, int arg3,
+        const char* const* arg4, const char* const* arg5) {
+    load_library();
+    return nvrtcCreateProgram(arg0, arg1, arg2, arg3, arg4, arg5);
+}
+static nvrtcResult _WRAPLIB_API_CALL
+nvrtcCreateProgram_error(nvrtcProgram*, const char*, const char*, int,
+                         const char* const*, const char* const*) {
+    return on_init_failed<nvrtcResult>(4);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL
+nvrtcDestroyProgram_init(nvrtcProgram* arg0) {
+    load_library();
+    return nvrtcDestroyProgram(arg0);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcDestroyProgram_error(nvrtcProgram*) {
+    return on_init_failed<nvrtcResult>(5);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL
+nvrtcCompileProgram_init(nvrtcProgram arg0, int arg1, const char* const* arg2) {
+    load_library();
+    return nvrtcCompileProgram(arg0, arg1, arg2);
+}
+static nvrtcResult _WRAPLIB_API_CALL
+nvrtcCompileProgram_error(nvrtcProgram, int, const char* const*) {
+    return on_init_failed<nvrtcResult>(6);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetPTXSize_init(nvrtcProgram arg0,
+                                                          size_t* arg1) {
+    load_library();
+    return nvrtcGetPTXSize(arg0, arg1);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetPTXSize_error(nvrtcProgram,
+                                                           size_t*) {
+    return on_init_failed<nvrtcResult>(7);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetPTX_init(nvrtcProgram arg0,
+                                                      char* arg1) {
+    load_library();
+    return nvrtcGetPTX(arg0, arg1);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetPTX_error(nvrtcProgram, char*) {
+    return on_init_failed<nvrtcResult>(8);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetCUBINSize_init(nvrtcProgram arg0,
+                                                            size_t* arg1) {
+    load_library();
+    return nvrtcGetCUBINSize(arg0, arg1);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetCUBINSize_error(nvrtcProgram,
+                                                             size_t*) {
+    return on_init_failed<nvrtcResult>(9);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetCUBIN_init(nvrtcProgram arg0,
+                                                        char* arg1) {
+    load_library();
+    return nvrtcGetCUBIN(arg0, arg1);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetCUBIN_error(nvrtcProgram, char*) {
+    return on_init_failed<nvrtcResult>(10);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL
+nvrtcGetProgramLogSize_init(nvrtcProgram arg0, size_t* arg1) {
+    load_library();
+    return nvrtcGetProgramLogSize(arg0, arg1);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetProgramLogSize_error(nvrtcProgram,
+                                                                  size_t*) {
+    return on_init_failed<nvrtcResult>(11);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetProgramLog_init(nvrtcProgram arg0,
+                                                             char* arg1) {
+    load_library();
+    return nvrtcGetProgramLog(arg0, arg1);
+}
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetProgramLog_error(nvrtcProgram,
+                                                              char*) {
+    return on_init_failed<nvrtcResult>(12);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL
+nvrtcAddNameExpression_init(nvrtcProgram arg0, const char* const arg1) {
+    load_library();
+    return nvrtcAddNameExpression(arg0, arg1);
+}
+static nvrtcResult _WRAPLIB_API_CALL
+nvrtcAddNameExpression_error(nvrtcProgram, const char* const) {
+    return on_init_failed<nvrtcResult>(13);
+}
+
+static nvrtcResult _WRAPLIB_API_CALL nvrtcGetLoweredName_init(
+        nvrtcProgram arg0, const char* const arg1, const char** arg2) {
+    load_library();
+    return nvrtcGetLoweredName(arg0, arg1, arg2);
+}
+static nvrtcResult _WRAPLIB_API_CALL
+nvrtcGetLoweredName_error(nvrtcProgram, const char* const, const char**) {
+    return on_init_failed<nvrtcResult>(14);
+}
+static constexpr size_t NR_FUNC = 15;
+static void* g_func_table[NR_FUNC] = {(void*)(&nvrtcGetErrorString_init),
+                                      (void*)(&nvrtcVersion_init),
+                                      (void*)(&nvrtcGetNumSupportedArchs_init),
+                                      (void*)(&nvrtcGetSupportedArchs_init),
+                                      (void*)(&nvrtcCreateProgram_init),
+                                      (void*)(&nvrtcDestroyProgram_init),
+                                      (void*)(&nvrtcCompileProgram_init),
+                                      (void*)(&nvrtcGetPTXSize_init),
+                                      (void*)(&nvrtcGetPTX_init),
+                                      (void*)(&nvrtcGetCUBINSize_init),
+                                      (void*)(&nvrtcGetCUBIN_init),
+                                      (void*)(&nvrtcGetProgramLogSize_init),
+                                      (void*)(&nvrtcGetProgramLog_init),
+                                      (void*)(&nvrtcAddNameExpression_init),
+                                      (void*)(&nvrtcGetLoweredName_init)};
+static void* g_func_table_error[NR_FUNC] = {
+        (void*)(&nvrtcGetErrorString_error),
+        (void*)(&nvrtcVersion_error),
+        (void*)(&nvrtcGetNumSupportedArchs_error),
+        (void*)(&nvrtcGetSupportedArchs_error),
+        (void*)(&nvrtcCreateProgram_error),
+        (void*)(&nvrtcDestroyProgram_error),
+        (void*)(&nvrtcCompileProgram_error),
+        (void*)(&nvrtcGetPTXSize_error),
+        (void*)(&nvrtcGetPTX_error),
+        (void*)(&nvrtcGetCUBINSize_error),
+        (void*)(&nvrtcGetCUBIN_error),
+        (void*)(&nvrtcGetProgramLogSize_error),
+        (void*)(&nvrtcGetProgramLog_error),
+        (void*)(&nvrtcAddNameExpression_error),
+        (void*)(&nvrtcGetLoweredName_error)};
+static const char* const g_func_name[NR_FUNC] = {"nvrtcGetErrorString",
+                                                 "nvrtcVersion",
+                                                 "nvrtcGetNumSupportedArchs",
+                                                 "nvrtcGetSupportedArchs",
+                                                 "nvrtcCreateProgram",
+                                                 "nvrtcDestroyProgram",
+                                                 "nvrtcCompileProgram",
+                                                 "nvrtcGetPTXSize",
+                                                 "nvrtcGetPTX",
+                                                 "nvrtcGetCUBINSize",
+                                                 "nvrtcGetCUBIN",
+                                                 "nvrtcGetProgramLogSize",
+                                                 "nvrtcGetProgramLog",
+                                                 "nvrtcAddNameExpression",
+                                                 "nvrtcGetLoweredName"};
+
+static void load_library() {
+    static bool done = false;
+    static std::mutex mtx;
+    std::lock_guard<std::mutex> lg{mtx};
+
+    if (done)
+        return;
+
+    void* handle = get_library_handle();
+    for (size_t i = 0; i < NR_FUNC; ++i) {
+        void* func;
+        if (!handle) {
+            func = nullptr;
+        } else {
+            func = resolve_library_func(handle, g_func_name[i]);
+        }
+        if (!func) {
+            func = g_func_table_error[i];
+        }
+        __atomic_store_n(g_func_table + i, func, __ATOMIC_RELAXED);
+    }
+    done = true;
+}
+
+const char _WRAPLIB_API_CALL* nvrtcGetErrorString(nvrtcResult arg0) {
+    typedef const char*(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcResult);
+    ON_ENTRY(nvrtcGetErrorString);
+    f_ptr_t f = (f_ptr_t)(g_func_table[0]);
+    return f(arg0);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcVersion(int* arg0, int* arg1) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(int*, int*);
+    ON_ENTRY(nvrtcVersion);
+    f_ptr_t f = (f_ptr_t)(g_func_table[1]);
+    return f(arg0, arg1);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetNumSupportedArchs(int* arg0) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(int*);
+    ON_ENTRY(nvrtcGetNumSupportedArchs);
+    f_ptr_t f = (f_ptr_t)(g_func_table[2]);
+    return f(arg0);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetSupportedArchs(int* arg0) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(int*);
+    ON_ENTRY(nvrtcGetSupportedArchs);
+    f_ptr_t f = (f_ptr_t)(g_func_table[3]);
+    return f(arg0);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcCreateProgram(nvrtcProgram* arg0,
+                                                 const char* arg1,
+                                                 const char* arg2, int arg3,
+                                                 const char* const* arg4,
+                                                 const char* const* arg5) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(
+            nvrtcProgram*, const char*, const char*, int, const char* const*,
+            const char* const*);
+    ON_ENTRY(nvrtcCreateProgram);
+    f_ptr_t f = (f_ptr_t)(g_func_table[4]);
+    return f(arg0, arg1, arg2, arg3, arg4, arg5);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcDestroyProgram(nvrtcProgram* arg0) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram*);
+    ON_ENTRY(nvrtcDestroyProgram);
+    f_ptr_t f = (f_ptr_t)(g_func_table[5]);
+    return f(arg0);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcCompileProgram(nvrtcProgram arg0, int arg1,
+                                                  const char* const* arg2) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram, int,
+                                                     const char* const*);
+    ON_ENTRY(nvrtcCompileProgram);
+    f_ptr_t f = (f_ptr_t)(g_func_table[6]);
+    return f(arg0, arg1, arg2);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetPTXSize(nvrtcProgram arg0, size_t* arg1) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram, size_t*);
+    ON_ENTRY(nvrtcGetPTXSize);
+    f_ptr_t f = (f_ptr_t)(g_func_table[7]);
+    return f(arg0, arg1);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetPTX(nvrtcProgram arg0, char* arg1) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram, char*);
+    ON_ENTRY(nvrtcGetPTX);
+    f_ptr_t f = (f_ptr_t)(g_func_table[8]);
+    return f(arg0, arg1);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetCUBINSize(nvrtcProgram arg0,
+                                                size_t* arg1) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram, size_t*);
+    ON_ENTRY(nvrtcGetCUBINSize);
+    f_ptr_t f = (f_ptr_t)(g_func_table[9]);
+    return f(arg0, arg1);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetCUBIN(nvrtcProgram arg0, char* arg1) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram, char*);
+    ON_ENTRY(nvrtcGetCUBIN);
+    f_ptr_t f = (f_ptr_t)(g_func_table[10]);
+    return f(arg0, arg1);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetProgramLogSize(nvrtcProgram arg0,
+                                                     size_t* arg1) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram, size_t*);
+    ON_ENTRY(nvrtcGetProgramLogSize);
+    f_ptr_t f = (f_ptr_t)(g_func_table[11]);
+    return f(arg0, arg1);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetProgramLog(nvrtcProgram arg0,
+                                                 char* arg1) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram, char*);
+    ON_ENTRY(nvrtcGetProgramLog);
+    f_ptr_t f = (f_ptr_t)(g_func_table[12]);
+    return f(arg0, arg1);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcAddNameExpression(nvrtcProgram arg0,
+                                                     const char* const arg1) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(nvrtcProgram,
+                                                     const char* const);
+    ON_ENTRY(nvrtcAddNameExpression);
+    f_ptr_t f = (f_ptr_t)(g_func_table[13]);
+    return f(arg0, arg1);
+}
+nvrtcResult _WRAPLIB_API_CALL nvrtcGetLoweredName(nvrtcProgram arg0,
+                                                  const char* const arg1,
+                                                  const char** arg2) {
+    typedef nvrtcResult(_WRAPLIB_API_CALL * f_ptr_t)(
+            nvrtcProgram, const char* const, const char**);
+    ON_ENTRY(nvrtcGetLoweredName);
+    f_ptr_t f = (f_ptr_t)(g_func_table[14]);
+    return f(arg0, arg1, arg2);
+}

dnn/cuda-stub/src/libnvrtc.cpp

@@ -0,0 +1,75 @@
+/**
+ * \file dnn/cuda-stub/src/libnvrtc.cpp
+ * MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
+ *
+ * Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ * implied.
+ */
+
+#pragma GCC visibility push(default)
+
+#include <cstdio>
+#define LOGE(fmt, v...) fprintf(stderr, "err: " fmt "\n", ##v)
+#include "./nvrtc_type.h"
+#pragma GCC diagnostic ignored "-Wdeprecated-declarations"
+
+static void log_failed_load(int func_idx);
+namespace {
+template <typename T>
+T on_init_failed(int func_idx);
+template <>
+nvrtcResult on_init_failed(int func_idx) {
+    log_failed_load(func_idx);
+    return NVRTC_ERROR_INTERNAL_ERROR;
+}
+template <>
+const char* on_init_failed(int func_idx) {
+    log_failed_load(func_idx);
+    return "load lib failed";
+}
+}  // namespace
+
+#include "./libnvrtc-wrap.h"
+static const char* default_so_name =
+#if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
+        "nvrtc.dll";
+#elif defined(__APPLE__) || defined(__MACOSX)
+        "libnvrtc.dylib";
+#else
+        "libnvrtc.so";
+#endif
+
+static const char* default_so_paths[] = {
+#if defined(WIN32) || defined(_WIN32) || defined(WIN64) || defined(_WIN64)
+        "nvrtc.dll",
+#elif defined(__unix__) || defined(__QNX__) || defined(__APPLE__) || \
+        defined(__MACOSX)
+#if defined(__APPLE__) || defined(__MACOSX)
+        "/usr/local/cuda/lib/libnvrtc.dylib",
+#elif defined(__ANDROID__)
+#if defined(__aarch64__)
+        "/system/vendor/lib64/libnvrtc.so",
+#elif defined(__arm__)
+        "/system/vendor/lib/libnvrtc.so",
+#endif
+#else
+        "libnvrtc.so",
+
+        // In case some users does not have correct search path configured in
+        // /etc/ld.so.conf
+        "/usr/lib/x86_64-linux-gnu/libnvrtc.so",
+        "/usr/local/nvidia/lib64/libnvrtc.so",
+        "/usr/local/cuda/lib64/libnvrtc.so",
+#endif
+#else
+#error "Unknown platform"
+#endif
+};
+static const char* extra_so_paths[] = {};
+
+static const char* g_default_api_name = "nvrtc";
+#include "./dlopen_helper.h"

dnn/cuda-stub/src/nvrtc_type.h

@@ -0,0 +1,27 @@
+#pragma once
+#ifdef __cplusplus
+extern "C" {
+#endif /* __cplusplus */
+
+#include <stdlib.h>
+
+typedef enum {
+  NVRTC_SUCCESS = 0,
+  NVRTC_ERROR_OUT_OF_MEMORY = 1,
+  NVRTC_ERROR_PROGRAM_CREATION_FAILURE = 2,
+  NVRTC_ERROR_INVALID_INPUT = 3,
+  NVRTC_ERROR_INVALID_PROGRAM = 4,
+  NVRTC_ERROR_INVALID_OPTION = 5,
+  NVRTC_ERROR_COMPILATION = 6,
+  NVRTC_ERROR_BUILTIN_OPERATION_FAILURE = 7,
+  NVRTC_ERROR_NO_NAME_EXPRESSIONS_AFTER_COMPILATION = 8,
+  NVRTC_ERROR_NO_LOWERED_NAMES_BEFORE_COMPILATION = 9,
+  NVRTC_ERROR_NAME_EXPRESSION_NOT_VALID = 10,
+  NVRTC_ERROR_INTERNAL_ERROR = 11
+} nvrtcResult;
+
+typedef struct _nvrtcProgram *nvrtcProgram;
+
+#ifdef __cplusplus
+}
+#endif /* __cplusplus */

dnn/src/cuda/batched_matrix_mul/cublas_lt.cpp

@@ -26,6 +26,7 @@ static inline CUBLASLTMatmulDesc::SizeArgs from_local_size_args(
     return {handle,        transA,        transB,
             args.layout_a, args.layout_b, args.layout_c};
 }
+
 bool BatchedMatrixMulForwardImpl::AlgoCublasLt::is_available(
         const SizeArgs& args) const {
     auto cublasLt_args = from_local_size_args(args);
@@ -35,6 +36,7 @@ bool BatchedMatrixMulForwardImpl::AlgoCublasLt::is_available(
                                      .is_available(cublasLt_args, INT_MAX);
     return res;
 }
+
 size_t BatchedMatrixMulForwardImpl::AlgoCublasLt::get_workspace_in_bytes(
         const SizeArgs& args) const {
     auto cublasLt_args = from_local_size_args(args);
@@ -43,6 +45,7 @@ size_t BatchedMatrixMulForwardImpl::AlgoCublasLt::get_workspace_in_bytes(
     desc.get_algorithm_heuristic(cublasLt_args, INT_MAX, algo);
     return desc.get_workspace_bundle(cublasLt_args, algo).total_size_in_bytes();
 }
+
 void BatchedMatrixMulForwardImpl::AlgoCublasLt::exec(
         const ExecArgs& args) const {
     auto cublasLt_args = from_local_size_args(args);
@@ -89,6 +92,7 @@ void BatchedMatrixMulForwardImpl::AlgoCublasLt::exec(
                                     desc.layout_c, &algo, ws_bundle.get(0),
                                     ws_bundle.get_size(0), stream));
     };
+    
     auto batched_igemm = [&]() {
         auto zero = handle->zero_device();
         auto one = handle->one_device();
@@ -133,6 +137,18 @@ void BatchedMatrixMulForwardImpl::AlgoCublasLt::exec(
     };
 
     ws_bundle.set(args.workspace.raw_ptr);
+#if CUDA_VERSION >= 11000
+    if (desc.dt_compute == CUBLAS_COMPUTE_32I) {
+        batched_igemm();
+    } else if (desc.dt_compute == CUBLAS_COMPUTE_16F) {
+        batched_hgemm();
+    } else if (desc.dt_compute == CUBLAS_COMPUTE_32F) {
+        batched_sgemm();
+    } else {
+        megdnn_throw(
+                megdnn_mangle("compute_type must be int32/float16/float32"));
+    }
+#else
     if (desc.dt_compute == CUDA_R_32I) {
         batched_igemm();
     } else if (desc.dt_compute == CUDA_R_16F) {
@@ -143,5 +159,6 @@ void BatchedMatrixMulForwardImpl::AlgoCublasLt::exec(
         megdnn_throw(
                 megdnn_mangle("compute_type must be int32/float16/float32"));
     }
+#endif
 }
 #endif

dnn/src/cuda/conv_bias/algo.cpp

@@ -156,6 +156,9 @@ std::string ConvBiasForwardImpl::AlgoBase::SizeArgs::to_string() const {
         case param::ConvBias::NonlineMode::IDENTITY:
             nonlinear_mode_str = "IDENTITY";
             break;
+        case param::ConvBias::NonlineMode::H_SWISH:
+            nonlinear_mode_str = "H_SWISH";
+            break;
         default:
             megdnn_throw("invalid conv bias nonlinear mode");
     }

dnn/src/cuda/cudnn_wrapper.cpp

@@ -165,6 +165,23 @@ void TensorDesc::set(const TensorLayout& layout,
     }
 }
 
+std::string TensorDesc::to_string() {
+    cudnnDataType_t data_type;
+    int n;
+    int c;
+    int h;
+    int w;
+    int n_stride;
+    int c_stride;
+    int h_stride;
+    int w_stride;
+    cudnn_check(cudnnGetTensor4dDescriptor(desc, &data_type, &n, &c, &h, &w,
+                                           &n_stride, &c_stride, &h_stride,
+                                           &w_stride));
+    return ssprintf("<dtype_%d, %d,%d,%d,%d(%d,%d,%d,%d)>", data_type, n, c, h,
+                    w, n_stride, c_stride, h_stride, w_stride);
+}
+
 template <typename Param>
 FilterDesc<Param>::FilterDesc() {
     cudnn_check(cudnnCreateFilterDescriptor(&desc));
@@ -175,6 +192,20 @@ FilterDesc<Param>::~FilterDesc() {
     cudnn_check(cudnnDestroyFilterDescriptor(desc));
 }
 
+template <typename Param>
+std::string FilterDesc<Param>::to_string() {
+    cudnnDataType_t data_type;
+    cudnnTensorFormat_t format;
+    int k;
+    int c;
+    int h;
+    int w;
+    cudnn_check(cudnnGetFilter4dDescriptor(desc, &data_type, &format, &k, &c,
+                                           &h, &w));
+    return ssprintf("<dtype_%d, format_%d, %d,%d,%d,%d>", data_type,format, k, c, h,
+                    w);
+}
+
 template <typename Param>
 void FilterDesc<Param>::set(
         const typename ConvolutionBase<Param>::CanonizedFilterMeta&

dnn/src/cuda/cudnn_wrapper.h

@@ -30,6 +30,7 @@ class TensorDesc {
         //! default layout is nchw
         void set(const TensorLayout& layout, const param::Convolution::Format =
                 param::Convolution::Format::NCHW);
+        std::string to_string();
         ~TensorDesc();
         cudnnTensorDescriptor_t desc;
 };
@@ -39,6 +40,7 @@ class FilterDesc {
     public:
         FilterDesc();
         void set(const typename ConvolutionBase<Param>::CanonizedFilterMeta &meta);
+        std::string to_string();
         ~FilterDesc();
         cudnnFilterDescriptor_t desc;
 };

dnn/src/cuda/matrix_mul/cublas.cpp

@@ -25,6 +25,10 @@ using namespace cuda;
 #define SE_CUDA_DATA_HALF CUBLAS_DATA_HALF
 #endif
 
+#if CUDA_VERSION < 11000
+#define CUBLAS_COMPUTE_32I CUDA_R_32I
+#endif
+
 bool MatrixMulForwardImpl::AlgoCuBlas::is_available(
         const SizeArgs& args) const {
     if (args.opr->param().format != param::MatrixMul::Format::DEFAULT)
@@ -117,7 +121,7 @@ void MatrixMulForwardImpl::AlgoCuBlas::exec(const ExecArgs& args) const {
                 args.tensor_b.layout.stride[0], args.tensor_a.raw_ptr,
                 CUDA_R_8I, args.tensor_a.layout.stride[0], zero,
                 args.tensor_c.raw_ptr, CUDA_R_32I,
-                args.tensor_c.layout.stride[0], CUDA_R_32I, CUBLAS_GEMM_DFALT));
+                args.tensor_c.layout.stride[0], CUBLAS_COMPUTE_32I, CUBLAS_GEMM_DFALT));
     };
 
     // Note that cublas takes column-major matrices as inputs,

dnn/src/cuda/matrix_mul/cublasLt_wrapper.cpp

@@ -6,10 +6,11 @@
  *
  * Unless required by applicable law or agreed to in writing,
  * software distributed under the License is distributed on an
- * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or
+ * implied.
  */
-#include "src/cuda/matrix_mul/cublasLt_wrapper.h"
 #include "src/common/utils.h"
+#include "src/cuda/matrix_mul/cublasLt_wrapper.h"
 #include "src/cuda/utils.h"
 #if CUDA_VERSION >= 10010
 
@@ -33,6 +34,7 @@ static cudaDataType_t to_cuda_dtype(DType tp) {
     }
 }
 
+#if CUDA_VERSION >= 11000
 static cublasComputeType_t to_cublas_compute_type(DType tp) {
     switch (tp.enumv()) {
         case DTypeEnum::Float16:
@@ -43,10 +45,11 @@ static cublasComputeType_t to_cublas_compute_type(DType tp) {
         case DTypeEnum::QuantizedS32:
             return CUBLAS_COMPUTE_32I;
         default:
-            megdnn_throw(megdnn_mangle(
-                    "dtype must be float16/float32/int32/Qs32"));
+            megdnn_throw(
+                    megdnn_mangle("dtype must be float16/float32/int32/Qs32"));
     }
 }
+#endif
 
 static const char* cuda_type_to_str(cudaDataType_t tp) {
     switch (tp) {
@@ -106,9 +109,15 @@ void CUBLASLTMatmulDesc::set(const SizeArgs& args, bool batched) {
     dt_b = to_cuda_dtype(args.layout_b.dtype);
     dt_a = to_cuda_dtype(args.layout_a.dtype);
     dt_c = to_cuda_dtype(args.layout_c.dtype);
-    dt_compute = to_cublas_compute_type(args.layout_c.dtype);
+
     megdnn_assert(dt_a == dt_b, "matrix A and B should have same precision");
+#if CUDA_VERSION >= 11000
+    dt_compute = to_cublas_compute_type(args.layout_c.dtype);
     cublas_check(cublasLtMatmulDescCreate(&matmul_desc, dt_compute, dt_c));
+#else
+    dt_compute = dt_c;
+    cublas_check(cublasLtMatmulDescCreate(&matmul_desc, dt_compute));
+#endif
     cublas_check(cublasLtMatmulDescSetAttribute(
             matmul_desc, CUBLASLT_MATMUL_DESC_POINTER_MODE, &pm, sizeof(pm)));
 
@@ -262,8 +271,7 @@ WorkspaceBundle CUBLASLTMatmulDesc::get_workspace_bundle(
             dt_c == CUDA_R_32I ? layout_trans_b : layout_b,
             dt_c == CUDA_R_32I ? layout_trans_a : layout_a,
             dt_c == CUDA_R_32I ? layout_trans_c : layout_c,
-            dt_c == CUDA_R_32I ? layout_trans_c : layout_c, &algo,
-            &result);
+            dt_c == CUDA_R_32I ? layout_trans_c : layout_c, &algo, &result);
     // return empty WorkspaceBundle if cublasLtMatmulAlgoCheck() failed
     if (status != CUBLAS_STATUS_SUCCESS)
         return {nullptr, {}};

dnn/src/cuda/matrix_mul/cublasLt_wrapper.h

@@ -48,7 +48,11 @@ struct CUBLASLTMatmulDesc {
     bool is_batched;
     cublasLtMatmulDesc_t matmul_desc;
     cudaDataType_t dt_a, dt_b, dt_c;
+#if CUDA_VERSION >= 11000
     cublasComputeType_t dt_compute;
+#else
+    cudaDataType_t dt_compute;
+#endif
     cublasLtMatrixLayout_t layout_a, layout_b, layout_c;
     cublasLtMatrixLayout_t layout_trans_a, layout_trans_b, layout_trans_c;
     size_t workspace_a, workspace_b, workspace_c;

dnn/src/cuda/matrix_mul/cublas_lt.cpp

@@ -128,7 +128,23 @@ void MatrixMulForwardImpl::AlgoCuBlasLt::exec(const ExecArgs& args) const {
             stream));
         cublas_check(cublasLtMatrixTransformDescDestroy(transform_desc));
     };
-    switch(desc.dt_compute) {
+#if CUDA_VERSION >= 11000
+    switch (desc.dt_compute) {
+        case CUBLAS_COMPUTE_16F:
+            hgemm();
+            break;
+        case CUBLAS_COMPUTE_32F:
+            sgemm();
+            break;
+        case CUBLAS_COMPUTE_32I:
+            igemm();
+            break;
+        default:
+            megdnn_throw(megdnn_mangle(
+                    "compute type must be float16/float32/int32"));
+    }
+#else
+    switch (desc.dt_compute) {
         case CUDA_R_16F:
             hgemm();
             break;
@@ -139,8 +155,10 @@ void MatrixMulForwardImpl::AlgoCuBlasLt::exec(const ExecArgs& args) const {
             igemm();
             break;
         default:
-            megdnn_throw(megdnn_mangle("compute type must be float16/float32/int32"));
+            megdnn_throw(megdnn_mangle(
+                    "compute type must be float16/float32/int32"));
     }
+#endif
 }
 #endif
 // vim: syntax=cpp.doxygen

dnn/test/cuda/batch_conv_bias.cpp

@@ -309,6 +309,9 @@ void benchmark_target_algo(Handle* handle, const std::vector<BenchArgs>& args,
                         arg.f / (1e12);
             TensorShape src{arg.n, arg.ci, arg.hi, arg.wi},
                     filter{arg.co, arg.ci, arg.f, arg.f};
+            if (!algo){
+                algo = "no_name";
+            }
             printf("src=%s, filter=%s, time(algo=%s)=%.2f %.2fTops, "
                    "time(cudnn)=%.2f %.2fTops, time(batched_matmul)=%.2f "
                    "%.2fTops, "

imperative/.gitignore

@@ -1,2 +1,3 @@
 Makefile
 /test/imperative_test
+python/megengine/version.py

imperative/CMakeLists.txt

@@ -70,3 +70,8 @@ add_custom_command(
     COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/python/requires-style.txt ${CMAKE_CURRENT_BINARY_DIR}/python/requires-style.txt
     COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/python/requires-test.txt ${CMAKE_CURRENT_BINARY_DIR}/python/requires-test.txt
 )
+
+add_custom_command(
+    TARGET ${MODULE_NAME} POST_BUILD
+    COMMAND "${PYTHON_EXECUTABLE}" ${CMAKE_CURRENT_SOURCE_DIR}/python/gen_version.py --output ${CMAKE_CURRENT_BINARY_DIR}/python/megengine/version.py
+)

imperative/python/gen_version.py

@@ -0,0 +1,31 @@
+import argparse
+import os
+import subprocess
+
+def get_git_commit(src_dir):
+    try:
+        return subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=src_dir).decode('ascii').strip()
+    except Exception:
+        return 'unknown'
+
+def get_mge_version(version_txt_path):
+    v = {}
+    with open(version_txt_path) as fp:
+        exec(fp.read(), v)
+    return v
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="generate version.py to build path")
+    parser.add_argument("--output", type=str, required=True)
+    args = parser.parse_args()
+    python_dir = os.path.dirname(__file__)
+    version_txt_path = os.path.join(python_dir, 'version_template.py')
+    commit_id = get_git_commit(python_dir)
+    mge_ver_map = get_mge_version(version_txt_path)
+    mge_ver = mge_ver_map['__version__'] if '__version__' in mge_ver_map else 'unknown'
+    mge_intl = mge_ver_map['__internal__'] if '__internal__' in mge_ver_map else False
+    with open(args.output, 'w') as f:
+        f.write("__version__ = '{}'\n".format(mge_ver))
+        f.write("git_version = {}\n".format(repr(commit_id)))
+        if mge_intl:
+            f.write("__internal__ = True\n")

imperative/python/version_template.py

@@ -0,0 +1,10 @@
+# -*- coding: utf-8 -*-
+# MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
+#
+# Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT ARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+__version__ = "1.3.0.dev"
+

scripts/whl/BUILD_PYTHON_WHL_README.md

@@ -8,7 +8,7 @@
 
 ```bash
 1: please refer to: https://docs.docker.com/engine/security/rootless/ to enable rootless docker env
-2: cd ./scripts/whl/manylinux2010
+2: cd ./scripts/whl/manylinux2014
 3: ./build_image.sh
 
 ```
@@ -56,24 +56,25 @@
 ```
 
 # How to build
+Note: Guarantee the git repo is mounted in docker container, do not use `git submodule update --init` in to init megbrain repo
 ## Build for linux
-* MegBrain delivers `wheel` package with `manylinux2010` tag defined in [PEP-571](https://www.python.org/dev/peps/pep-0571/).
+* MegBrain delivers `wheel` package with `manylinux2014` tag defined in [PEP-571](https://www.python.org/dev/peps/pep-0571/).
 commands:
 ```bash
 export CUDA_ROOT_DIR=/path/to/cuda
 export CUDNN_ROOT_DIR=/path/to/cudnn
 export TENSORRT_ROOT_DIR=/path/to/tensorrt
-./scripts/whl/manylinux2010/build_wheel.sh
+./scripts/whl/manylinux2014/build_wheel_common.sh -sdk cu101
 ```
 
 * And you can find all of the outputs in `output` directory.If you just want to build for a specific Python verison, you can use `ALL_PYTHON` environment variable. eg:
 ```bash
-ALL_PYTHON="36m" ./scripts/whl/manylinux2010/build_wheel.sh
+ALL_PYTHON="36m" ./scripts/whl/manylinux2014/build_wheel_common.sh -sdk cu101
 ```
 
 * If you just want to build with cpu only version, you can set `BUILD_WHL_CPU_ONLY` environment 'ON'. eg:
 ```bash
-BUILD_WHL_CPU_ONLY="ON" ALL_PYTHON="36m" ./scripts/whl/manylinux2010/build_wheel.sh
+BUILD_WHL_CPU_ONLY="ON" ALL_PYTHON="36m" ./scripts/whl/manylinux2014/build_wheel_common.sh -sdk cu101
 ```
 
 ## Build for MacOS

scripts/whl/manylinux2014/Dockerfile

@@ -0,0 +1,15 @@
+FROM quay.io/pypa/manylinux2014_x86_64:2020-12-31-56195b3
+
+ENV UID=1024 \
+    PATH=${PATH}:/usr/local/cuda/bin \
+    LIBRARY_PATH=${LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:/opt/cudnn/lib64:/opt/tensorrt/lib \
+    LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:/opt/cudnn/lib64:/opt/tensorrt/lib \
+    CPATH=${CPATH}:/usr/local/cuda/include:/opt/cudnn/include:/opt/tensorrt/include
+
+ARG platform
+COPY setup_mirror.sh .
+RUN ./setup_mirror.sh "$platform"
+
+ADD init_image.sh /tmp
+RUN /tmp/init_image.sh && rm -f /tmp/init_image.sh
+

scripts/whl/manylinux2014/build_image.sh

@@ -0,0 +1,5 @@
+#!/bin/bash -e
+
+cd $(dirname $0)
+
+docker build -t env_manylinux2014:latest .

scripts/whl/manylinux2014/build_wheel_common.sh

@@ -0,0 +1,217 @@
+#!/bin/bash
+set -e
+CWD=$(dirname $0)
+BASEDIR=$(readlink -f ${CWD}/../../..)
+OUTPUTDIR=$(readlink -f ${CWD}/output)
+USERID=$(id -u)
+TMPFS_ARGS="--tmpfs /tmp:exec"
+local_path=$(dirname $(readlink -f $0))
+CUDNN_LIB_DIR="/opt/cudnn/lib64/"
+CUDA_LIB_DIR="/usr/local/cuda/lib64/"
+
+CUDA_SDK="unknown"
+function usage() {
+    echo "use '-sdk cu111' to specify cuda toolkit config, also support cu101, cu112"
+}
+
+while [ "$1" != "" ]; do
+    case $1 in
+        -sdk)
+           shift
+           CUDA_SDK=$1
+           shift
+           ;;
+        *)
+            usage
+            exit 1
+    esac
+done
+
+echo "Build with ${CUDA_SDK}"
+
+if [ $CUDA_SDK == "cu101" ];then
+    COPY_LIB_LIST="${CUDA_LIB_DIR}/libnvrtc.so.10.1"
+    EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=OFF" 
+    OUT_DIR="cu101"  
+    BUILD_GCC8="ON"  
+    REQUIR_CUDA_VERSION="10010" 
+    REQUIR_CUDNN_VERSION="7.6.3" 
+    REQUIR_TENSORRT_VERSION="6.0.1.5" 
+elif [ $CUDA_SDK == "cu111" ];then
+    COPY_LIB_LIST="\
+        ${CUDA_LIB_DIR}/libnvrtc.so.11.1:\
+        ${CUDA_LIB_DIR}/libcublasLt.so.11:\
+        ${CUDA_LIB_DIR}/libcublas.so.11:\
+        ${CUDNN_LIB_DIR}/libcudnn_adv_infer.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_adv_train.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_cnn_infer.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_cnn_train.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_ops_infer.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_ops_train.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn.so.8"
+    EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=ON\
+        -gencode arch=compute_61,code=sm_61 \
+        arch=compute_70,code=sm_70 \
+        arch=compute_75,code=sm_75 \
+        arch=compute_80,code=sm_80 \
+        arch=compute_86,code=sm_86 \
+        arch=compute_86,code=compute_86" 
+    OUT_DIR="cu111"  
+    REQUIR_CUDA_VERSION="11010" 
+    REQUIR_CUDNN_VERSION="8.0.5" 
+    REQUIR_TENSORRT_VERSION="7.2.2.3" 
+elif [ $CUDA_SDK == "cu112" ];then
+    COPY_LIB_LIST="\
+        ${CUDA_LIB_DIR}/libnvrtc.so.11.2:\
+        ${CUDA_LIB_DIR}/libcublasLt.so.11:\
+        ${CUDA_LIB_DIR}/libcublas.so.11:\
+        ${CUDNN_LIB_DIR}/libcudnn_adv_infer.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_adv_train.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_cnn_infer.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_cnn_train.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_ops_infer.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn_ops_train.so.8:\
+        ${CUDNN_LIB_DIR}/libcudnn.so.8"
+    EXTRA_CMAKE_FLAG=" -DMGE_WITH_CUDNN_SHARED=ON \
+        -gencode arch=compute_61,code=sm_61 \
+        arch=compute_70,code=sm_70 \
+        arch=compute_75,code=sm_75 \
+        arch=compute_80,code=sm_80 \
+        arch=compute_86,code=sm_86 \
+        arch=compute_86,code=compute_86"  
+    OUT_DIR="cu112"  
+    REQUIR_CUDA_VERSION="11020" 
+    REQUIR_CUDNN_VERSION="8.0.5" 
+    REQUIR_TENSORRT_VERSION="7.2.2.3" 
+else
+    echo "no support sdk ${CUDA_SDK}, please set by '-sdk cu111'"
+    exit -1
+fi
+
+BUILD_WHL_CPU_ONLY=${BUILD_WHL_CPU_ONLY}
+if [[ -z ${BUILD_WHL_CPU_ONLY} ]]
+then
+    BUILD_WHL_CPU_ONLY="OFF"
+fi
+
+echo ${BASEDIR}
+pushd ${BASEDIR}/third_party >/dev/null
+    ./prepare.sh
+popd >/dev/null
+
+cd ${CWD}
+mkdir -p ${OUTPUTDIR}
+
+if [ ${BUILD_WHL_CPU_ONLY} = "OFF" ]; then
+    if [[ -z ${CUDA_ROOT_DIR} ]]; then
+        echo "Environment variable CUDA_ROOT_DIR not set."
+        exit -1
+    fi
+    if [[ -z ${CUDNN_ROOT_DIR} ]]; then
+        echo "Environment variable CUDNN_ROOT_DIR not set."
+        exit -1
+    fi
+    if [[ -z ${TENSORRT_ROOT_DIR} ]]; then
+        echo "Environment variable TENSORRT_ROOT_DIR not set."
+        exit -1
+    fi
+
+    ## YOU SHOULD MODIFY CUDA VERSION AS BELOW WHEN UPGRADE
+    
+
+    CUDA_ROOT_DIR_=${CUDA_ROOT_DIR%*/}
+    CUDNN_ROOT_DIR_=${CUDNN_ROOT_DIR%*/}
+    TENSORRT_ROOT_DIR_=${TENSORRT_ROOT_DIR%*/}
+
+    CUDA_VERSION_PATH=${CUDA_ROOT_DIR_}/include/cuda.h
+    if [ "$REQUIR_CUDA_VERSION" -ge "11000" ];then
+        CUDNN_VERSION_PATH=${CUDNN_ROOT_DIR_}/include/cudnn_version.h
+    else
+        CUDNN_VERSION_PATH=${CUDNN_ROOT_DIR_}/include/cudnn.h
+    fi
+    TENSORRT_VERSION_PATH=${TENSORRT_ROOT_DIR_}/include/NvInferVersion.h
+
+    if [ ! -e $CUDA_VERSION_PATH ] ; then
+        echo file $CUDA_VERSION_PATH is not exist
+        echo please check the Environment must use CUDA-$REQUIR_CUDA_VERSION
+        exit -1
+    fi
+    if [ ! -e $CUDNN_VERSION_PATH ] ; then
+        echo file $CUDNN_VERSION_PATH is not exist
+        echo please check the Environment must use CUDNN-V$REQUIR_CUDNN_VERSION
+        exit -1
+    fi
+    if [ ! -e $TENSORRT_VERSION_PATH ] ; then
+        echo file $TENSORRT_VERSION_PATH is not exist
+        echo please check the Environment must use TensorRT-$REQUIR_TENSORRT_VERSION
+        exit -1
+    fi
+
+    CUDA_VERSION_CONTEXT=$(head -300 ${CUDA_VERSION_PATH})
+    CUDNN_VERSION_CONTEXT=$(head -62 ${CUDNN_VERSION_PATH})
+    TENSORRT_VERSION_CONTEXT=$(tail -12 ${TENSORRT_VERSION_PATH})
+
+    if [ "$REQUIR_CUDA_VERSION" -ge "11000" ];then
+        CUDA_API_VERSION=$(echo $CUDA_VERSION_CONTEXT | grep -Eo "define CUDA_VERSION * +([0-9]+)")
+    else
+        CUDA_API_VERSION=$(echo $CUDA_VERSION_CONTEXT | grep -Eo "define __CUDA_API_VERSION * +([0-9]+)")
+    fi
+    CUDA_VERSION=${CUDA_API_VERSION:0-5}
+    echo CUDA_VERSION:$CUDA_VERSION
+
+    CUDNN_VERSION_MAJOR=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_MAJOR * +([0-9]+)")
+    CUDNN_VERSION_MINOR=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_MINOR * +([0-9]+)")
+    CUDNN_VERSION_PATCH=$(echo $CUDNN_VERSION_CONTEXT | grep -Eo "define CUDNN_PATCHLEVEL * +([0-9]+)")
+    CUDNN_VERSION=${CUDNN_VERSION_MAJOR:0-1}.${CUDNN_VERSION_MINOR:0-1}.${CUDNN_VERSION_PATCH:0-1}
+    echo CUDNN_VERSION:$CUDNN_VERSION
+
+    TENSORRT_VERSION_MAJOR=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_MAJOR * +([0-9]+)")
+    TENSORRT_VERSION_MINOR=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_MINOR * +([0-9]+)")
+    TENSORRT_VERSION_PATCH=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_PATCH * +([0-9]+)")
+    TENSORRT_VERSION_BUILD=$(echo $TENSORRT_VERSION_CONTEXT | grep -Eo "NV_TENSORRT_BUILD * +([0-9]+)")
+    TENSORRT_VERSION=${TENSORRT_VERSION_MAJOR:0-1}.${TENSORRT_VERSION_MINOR:0-1}.${TENSORRT_VERSION_PATCH:0-1}.${TENSORRT_VERSION_BUILD:0-1}
+    echo TENSORRT_VERSION:$TENSORRT_VERSION
+
+    if [ $CUDA_VERSION != $REQUIR_CUDA_VERSION ] ; then
+        echo please check the Environment must use CUDA-10.1 NO.$REQUIR_CUDA_VERSION
+        exit -1
+    fi
+
+    if [ $CUDNN_VERSION != $REQUIR_CUDNN_VERSION ] ; then
+        echo please check the Environment must use CUDNN-V$REQUIR_CUDNN_VERSION
+        exit -1
+    fi
+
+    if [ $TENSORRT_VERSION != $REQUIR_TENSORRT_VERSION ] ; then
+        echo please check the Environment must use TENSORRT-$REQUIR_TENSORRT_VERSION
+        exit -1
+    fi
+fi
+
+if [[ -z ${BUILD_GCC8} ]];then
+    BUILD_GCC8=OFF
+fi
+
+if [ "$BUILD_GCC8" == "ON" ];then
+    run_cmd="scl enable devtoolset-8 /home/code/scripts/whl/manylinux2014/do_build_common.sh"
+else
+    run_cmd="/home/code/scripts/whl/manylinux2014/do_build_common.sh"
+fi
+
+docker run --rm -it $TMPFS_ARGS \
+    -e UID=${USERID} \
+    -e LOCAL_VERSION=${LOCAL_VERSION} \
+    -e BUILD_WHL_CPU_ONLY=${BUILD_WHL_CPU_ONLY} \
+    -e ALL_PYTHON="${ALL_PYTHON}" \
+    -e EXTRA_CMAKE_FLAG="$EXTRA_CMAKE_FLAG" \
+    -e COPY_LIB_LIST="$COPY_LIB_LIST"  \
+    -e OUT_DIR="$OUT_DIR"  \
+    -v ${CUDA_ROOT_DIR}:/usr/local/cuda \
+    -v ${CUDNN_ROOT_DIR}:/opt/cudnn \
+    -v ${TENSORRT_ROOT_DIR}:/opt/tensorrt \
+    -v ${BASEDIR}:/home/code \
+    -v ${OUTPUTDIR}:/home/output:rw \
+    env_manylinux2014:latest /bin/bash -c "$run_cmd"
+
+
+

scripts/whl/manylinux2014/do_build_common.sh

@@ -0,0 +1,136 @@
+#!/bin/bash -ex
+
+function handle_strip() {
+    echo "now handle strip $1"
+    objcopy --only-keep-debug $1 $1.dbg
+    strip -s $1
+    objcopy --add-gnu-debuglink=$1.dbg $1
+    rm $1.dbg
+}
+
+function full_copy_so(){
+    lib_path=$1
+    dst_dir=$2
+    append_rpath=$3
+    lib_name=$(basename $lib_path)
+    cp $lib_path $dst_dir/$lib_name
+    if [ "$append_rpath" != "" ];then
+        ori_rpath=$(patchelf --print-rpath $dst_dir/$lib_name)
+        if [ "$ori_rpath" != "" ];then
+            patchelf --set-rpath "$ori_rpath:$append_rpath" $dst_dir/$lib_name   
+        else
+            patchelf --set-rpath "$append_rpath" $dst_dir/$lib_name   
+        fi
+    fi
+}
+
+function patch_elf_depend_lib() {
+    echo "handle common depend lib"
+    LIBS_DIR=${BUILD_DIR}/staging/megengine/core/lib
+    mkdir -p ${LIBS_DIR}
+    cp /usr/lib64/libatomic.so.1 ${LIBS_DIR}
+
+    patchelf --remove-rpath ${BUILD_DIR}/staging/megengine/core/_imperative_rt.so
+    patchelf --force-rpath --set-rpath '$ORIGIN/lib' ${BUILD_DIR}/staging/megengine/core/_imperative_rt.so
+    cp ${BUILD_DIR}/src/libmegengine_export.so ${LIBS_DIR}
+    patchelf --remove-rpath ${LIBS_DIR}/libmegengine_export.so
+    patchelf --force-rpath --set-rpath '$ORIGIN/.' ${LIBS_DIR}/libmegengine_export.so
+
+    cp ${BUILD_DIR}/src/libmegengine_export.so ${LIBS_DIR}
+    patchelf --remove-rpath ${LIBS_DIR}/libmegengine_export.so
+    patchelf --force-rpath --set-rpath '$ORIGIN/.' ${LIBS_DIR}/libmegengine_export.so
+
+
+    if [ ${BUILD_WHL_CPU_ONLY} = "OFF" ]; then
+        echo "handle cuda lib"
+        cp ${BUILD_DIR}/dnn/cuda-stub/libcuda_stub.so ${LIBS_DIR}
+        cp /usr/local/cuda/lib64/libnvToolsExt.so.1 ${LIBS_DIR}
+        IFS=: read -a lib_name_array <<<"$COPY_LIB_LIST"
+        append_rpath='$ORIGIN/.'
+        for lib_name in ${lib_name_array[@]};do
+            full_copy_so $lib_name ${LIBS_DIR} $lib_append_rpath
+        done
+    fi
+}
+
+
+ALL_PYTHON=${ALL_PYTHON}
+if [[ -z ${ALL_PYTHON} ]]
+then
+    ALL_PYTHON="35m 36m 37m 38"
+fi
+
+BUILD_WHL_CPU_ONLY=${BUILD_WHL_CPU_ONLY}
+if [[ -z ${BUILD_WHL_CPU_ONLY} ]]
+then
+    BUILD_WHL_CPU_ONLY="OFF"
+fi
+
+SRC_DIR=$(readlink -f "`dirname $0`/../../../")
+BUILD_DIR=${SRC_DIR}/build_dir/host/MGE_WITH_CUDA_OFF/MGE_INFERENCE_ONLY_OFF/Release/build/
+if [ ${BUILD_WHL_CPU_ONLY} = "OFF" ]; then
+    BUILD_DIR=${SRC_DIR}/build_dir/host/MGE_WITH_CUDA_ON/MGE_INFERENCE_ONLY_OFF/Release/build/
+fi
+NEW_LIB_PATH=core/lib
+for ver in ${ALL_PYTHON}
+do
+    USE_AUDITWHEEL="ON"
+    python_ver=${ver:0:2}
+    MAJOR=${python_ver:0:1}
+    MINOR=${ver:1}
+    PYTHON_DIR=/opt/python/cp${python_ver}-cp${ver}/
+    export EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} ${EXTRA_CMAKE_FLAG}"
+    export EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DCMAKE_BUILD_TYPE=RelWithDebInfo"
+    export EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DCMAKE_PREFIX_PATH=${PYTHON_DIR}"
+    export EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DPYTHON_EXECUTABLE=${PYTHON_DIR}/bin/python3"
+    export EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DPYTHON_LIBRARY=${PYTHON_DIR}lib/"
+    export EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DPYTHON_INCLUDE_DIR=${PYTHON_DIR}include/python${MAJOR}.${MINOR}"
+    export EXTRA_CMAKE_ARGS="${EXTRA_CMAKE_ARGS} -DMGE_WITH_ATLAS=ON"
+
+    if [ ${BUILD_WHL_CPU_ONLY} = "OFF" ]; then
+        ${SRC_DIR}/scripts/cmake-build/host_build.sh -c -t -r
+    else
+        ${SRC_DIR}/scripts/cmake-build/host_build.sh -t -r
+    fi
+
+    cd ${BUILD_DIR}
+    rm -rf staging
+    mkdir -p staging
+    cp -a imperative/python/{megengine,setup.py,requires.txt,requires-style.txt,requires-test.txt} staging/
+
+
+
+    handle_strip ${BUILD_DIR}/src/libmegengine_export.so
+
+    cd ${BUILD_DIR}/staging/megengine/core
+    handle_strip _imperative_rt.so
+
+    mkdir -p lib/ucx
+
+
+
+    if [ ${USE_AUDITWHEEL} = "OFF" ]; then
+        patch_elf_depend_lib
+    fi
+
+    cd ${BUILD_DIR}/staging/
+    ${PYTHON_DIR}/bin/python setup.py bdist_wheel
+    cd /home/output
+    if [ ${USE_AUDITWHEEL} = "ON" ]; then
+        LD_LIBRARY_PATH=${BUILD_DIR}/dnn/cuda-stub:$LD_LIBRARY_PATH auditwheel repair -L ${NEW_LIB_PATH} ${BUILD_DIR}/staging/dist/Meg*.whl
+    else
+        mkdir -p ${SRC_DIR}/scripts/whl/manylinux2014/output/wheelhouse/${OUT_DIR}
+        cd ${BUILD_DIR}/staging/dist/
+        org_whl_name=`ls Meg*${ver}*.whl`
+        compat_whl_name=`echo ${org_whl_name} | sed 's/linux/manylinux2014/'`
+        echo "org whl name: ${org_whl_name}"
+        echo "comapt whl name: ${compat_whl_name}"
+        mv ${org_whl_name} ${SRC_DIR}/scripts/whl/manylinux2014/output/wheelhouse/${OUT_DIR}/${compat_whl_name}
+        cd /home/output
+    fi
+    chown -R ${UID}.${UID} .
+    # compat for root-less docker env to remove output at host side
+    chmod -R 777 .
+    echo "python $ver done"
+done
+

scripts/whl/manylinux2014/init_image.sh

@@ -0,0 +1,70 @@
+#!/bin/bash -e
+
+GET_PIP_URL='https://bootstrap.pypa.io/get-pip.py'
+SWIG_URL='https://downloads.sourceforge.net/project/swig/swig/swig-3.0.12/swig-3.0.12.tar.gz?use_mirror=autoselect'
+LLVM_URL='https://github.com/llvm-mirror/llvm/archive/release_60.tar.gz' 
+CLANG_URL='https://github.com/llvm-mirror/clang/archive/release_60.tar.gz'
+
+
+yum install -y pcre-devel devtoolset-9-libatomic-devel.x86_64
+yum install -y devtoolset-8 devtoolset-8-libatomic-devel.x86_64
+
+for ver in 35m 36m 37m 38 
+do
+    python_ver=${ver:0:2}
+    curl ${GET_PIP_URL} | /opt/python/cp${python_ver}-cp${ver}/bin/python - \
+	--no-cache-dir --only-binary :all:
+    /opt/python/cp${python_ver}-cp${ver}/bin/pip install \
+	--no-cache-dir --only-binary :all: numpy==1.18.1 setuptools==46.1.3
+done
+
+pushd /home >/dev/null
+    echo "Install swig"
+    curl -sSL ${SWIG_URL} | tar xz
+    pushd swig-3.0.12 >/dev/null
+        mkdir build
+       	pushd build >/dev/null
+	    ../configure
+	    make -j$(nproc)
+	    make install
+        popd >/dev/null
+    popd >/dev/null
+    rm -rf swig-3.0.12
+    
+    echo "Install llvm"
+    curl -sSL ${LLVM_URL} | tar xz
+    pushd llvm-release_60 >/dev/null
+        mkdir build
+       	pushd build >/dev/null
+            cmake .. -DCMAKE_PREFIX_PATH=/opt/python/cp36-cp36m/ \
+		-DCMAKE_BUILD_TYPE=Release
+	    make -j$(nproc)
+	    make install
+	popd >/dev/null
+    popd >/dev/null
+    rm -rf llvm-release_60
+
+    echo "Install clang"
+    curl -sSL ${CLANG_URL} | tar xz
+    pushd clang-release_60 >/dev/null
+        mkdir build
+       	pushd build >/dev/null
+            cmake .. -DCMAKE_PREFIX_PATH=/opt/python/cp36-cp36m/ \
+                -DCMAKE_BUILD_TYPE=Release
+	    make -j$(nproc)
+	    make install
+	popd >/dev/null
+    popd >/dev/null
+    rm -rf clang-release_60 
+popd >/dev/null
+
+pushd /tmp >/dev/null
+    curl -sSL https://github.com/NixOS/patchelf/archive/0.12.tar.gz | tar xz
+    pushd /tmp/patchelf-0.12 >/dev/null
+        sed -i '331s/32/64/' ./src/patchelf.cc
+        ./bootstrap.sh && ./configure && make install-strip
+    popd
+    rm -rf /tmp/patchelf-0.12
+popd
+
+yum clean all

scripts/whl/manylinux2014/setup_mirror.sh

@@ -0,0 +1,65 @@
+#!/bin/bash
+
+set -e
+
+function set_tuna_yum_mirror() {
+    cp /etc/yum.repos.d/CentOS-Base.repo /etc/yum.repos.d/CentOS-Base.repo.bak
+    local repo=/etc/yum.repos.d/CentOS-Base.repo
+    local plugin=/etc/yum/pluginconf.d/fastestmirror.conf
+    sed -i "s/mirrorlist=/#mirrorlist=/g" $repo
+    sed -i "s/#baseurl/baseurl/g" $repo
+    sed -i "s/mirror.centos.org/mirrors.tuna.tsinghua.edu.cn/g" $repo
+    sed -i "s/http/https/g" $repo
+    sed -i "s/enabled=1/enabled=0/g" $plugin
+    yum clean all
+    # Build on brainpp unable to pull epel reo metadata so disable this
+    # https://unix.stackexchange.com/questions/148144/unable-to-pull-epel-repository-metadata
+    yum --disablerepo="epel" update nss
+    yum makecache
+}
+
+function set_epel() {
+    mv /etc/yum.repos.d/epel.repo /etc/yum.repos.d/epel.repo.backup
+    mv /etc/yum.repos.d/epel-testing.repo /etc/yum.repos.d/epel-testing.repo.backup
+    curl -o /etc/yum.repos.d/epel.repo http://mirrors.aliyun.com/repo/epel-7.repo
+}
+
+function set_yum_mirror() {
+    mv /etc/yum.repos.d/CentOS-Base.repo /etc/yum.repos.d/CentOS-Base.repo.backup
+    curl -o /etc/yum.repos.d/CentOS-Base.repo https://mirrors.aliyun.com/repo/Centos-7.repo
+    yum makecache 
+}
+
+function set_pip_mirror() {
+cat > /etc/pip.conf <<EOF
+[global]
+timeout = 180
+index-url = https://mirrors.aliyun.com/pypi/simple
+extra-index-url = 
+    http://mirrors.i.brainpp.cn/pypi/simple/
+    http://pypi.i.brainpp.cn/brain/dev/+simple
+    https://pypi.tuna.tsinghua.edu.cn/simple
+trusted-host =
+    mirrors.i.brainpp.cn
+    pypi.i.brainpp.cn
+    pypi.tuna.tsinghua.edu.cn
+    mirrors.aliyun.com
+EOF
+}
+
+
+function main() {
+    local platform=$1
+    case $platform in
+        brainpp)
+            set_epel
+            set_yum_mirror
+            set_pip_mirror
+            ;;
+        *)
+            echo "No setup required"
+            ;;
+    esac
+}
+
+main "$@"

src/opr/impl/standalone/nms_opr.cpp

@@ -81,8 +81,9 @@ void NMSKeep::CUDAKern::exec(const NMSKeep* opr, const DeviceTensorND& inp,
     init(opr, inp.shape());
 
     auto inp_ptr = inp.ptr<float>();
-    auto dev_overlap_mask = reinterpret_cast<uint64_t*>(workspace.raw_ptr()),
-         dev_rm_mask = reinterpret_cast<uint64_t*>(
+    void* workspace_ptr = workspace.raw_ptr();
+    auto dev_overlap_mask = reinterpret_cast<uint64_t*>(workspace_ptr),
+         dev_rm_mask = (uint64_t*)(
                  workspace.raw_ptr() + m_workspace_overlap_mask_bytes_align);
     auto out_idx_ptr = reinterpret_cast<uint32_t*>(out_idx.ptr<int32_t>()),
          out_size_ptr = reinterpret_cast<uint32_t*>(out_size.ptr<int32_t>());

src/tensorrt/impl/opr_replace.cpp

@@ -27,6 +27,9 @@
 #include "megbrain/gopt/inference.h"
 #include "megbrain/gopt/misc.h"
 
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wdeprecated-declarations"
+
 using namespace mgb;
 using namespace gopt;
 using namespace cg;
@@ -1749,6 +1752,7 @@ void mgb::tensorrt::transform_dest_vars_inplace(
     optimizer.apply_inplace(dest_vars);
 }
 
+#pragma GCC diagnostic pop
 #endif
 
 // vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}

src/tensorrt/test/make_trt_net.cpp

@@ -20,7 +20,8 @@
 #include "megbrain/utils/debug.h"
 
 #if MGB_ENABLE_TENSOR_RT
-
+#pragma GCC diagnostic push
+#pragma GCC diagnostic ignored "-Wdeprecated-declarations"
 #include "megbrain/tensorrt/tensorrt_opr.h"
 #include "make_trt_net.h"
 
@@ -111,7 +112,8 @@ intl::SimpleQuantizedTensorRTNetwork::SimpleQuantizedTensorRTNetwork() {
     host_b = range_gen({1, 8, 1, 1});
 
     {
-        float* ptr = reinterpret_cast<float*>(host_w->raw_ptr());
+        void* w_ptr = host_w->raw_ptr();
+        float* ptr = reinterpret_cast<float*>(w_ptr);
         ptr[0] = -127*1.1f;
         ptr[1] = 127*1.1f;
     }
@@ -362,6 +364,7 @@ intl::ConcatConvTensorRTNetwork::create_trt_network(bool has_batch_dim) {
     return std::make_pair(builder, network);
 }
 
+#pragma GCC diagnostic pop
 #endif  // MGB_ENABLE_TENSOR_RT
 
 // vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}