Open SpaceView opened 2 years ago
@SpaceView can you provide more info about your environment? (MKL version, CUDA version, build script, hardware information etc.)
MKL version: 2022.0.3, installation path: C:\Program Files (x86)\Intel\oneAPI\mkl\2022.0.3\include\oneapi
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community>nvidia-smi
Mon Jul 4 12:21:24 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 512.15 Driver Version: 512.15 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... WDDM | 00000000:01:00.0 Off | N/A |
| N/A 46C P0 15W / N/A | 0MiB / 4096MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
ASUS laptop, TUF Gaming
CPU: 11th Gen Intel(R) Core(TM) i5-11400H @ 2.70GHz 2.69 GHz
GPU: rtx3050
for build script, I'm not sure which one you are referring to, since I'm using cmake-gui directly to generate the CMakeCache.txt, as below,
# This is the CMakeCache file.
# For build in directory: e:/vMxnet/mxnet200beta0rc1/dev
# It was generated by CMake: D:/Programs/CMake/bin/cmake.exe
# You can edit this file to change values found and used by cmake.
# If you do not want to change any of the values, simply exit the editor.
# If you do want to change a value, simply edit, save, and exit the editor.
# The syntax for the file is as follows:
# KEY:TYPE=VALUE
# KEY is the name of a variable in the cache.
# TYPE is a hint to GUIs for the type of VALUE, DO NOT EDIT TYPE!.
# VALUE is the current value for the KEY.
########################
# EXTERNAL cache entries
########################
//Selected BLAS library
BLAS:STRING=Open
//Path to a library.
BLAS_mkl_rt_LIBRARY:FILEPATH=C:/Program Files (x86)/Intel/oneAPI/mkl/2022.0.3/lib/intel64/mkl_rt.lib
//Build cpp examples
BUILD_CPP_EXAMPLES:BOOL=ON
//Build cython modules.
BUILD_CYTHON_MODULES:BOOL=OFF
//Path to extension to build
BUILD_EXTENSION_PATH:BOOL=OFF
//Build the testing tree.
BUILD_TESTING:BOOL=ON
//Header providing backtrace(3) facility
Backtrace_HEADER:STRING=backtrace.h
//Path to a file.
Backtrace_INCLUDE_DIR:PATH=Backtrace_INCLUDE_DIR-NOTFOUND
//Path to a library.
Backtrace_LIBRARY:FILEPATH=Backtrace_LIBRARY-NOTFOUND
//Path to a program.
CMAKE_AR:FILEPATH=C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.29.30133/bin/Hostx64/x64/lib.exe
//ASM_MASM compiler
CMAKE_ASM_MASM_COMPILER:FILEPATH=C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.29.30133/bin/Hostx64/x64/ml64.exe
//Flags used by the ASM_MASM compiler during all build types.
CMAKE_ASM_MASM_FLAGS:STRING=
//Flags used by the ASM_MASM compiler during DEBUG builds.
CMAKE_ASM_MASM_FLAGS_DEBUG:STRING=
//Flags used by the ASM_MASM compiler during MINSIZEREL builds.
CMAKE_ASM_MASM_FLAGS_MINSIZEREL:STRING=
//Flags used by the ASM_MASM compiler during RELEASE builds.
CMAKE_ASM_MASM_FLAGS_RELEASE:STRING=
//Flags used by the ASM_MASM compiler during RELWITHDEBINFO builds.
CMAKE_ASM_MASM_FLAGS_RELWITHDEBINFO:STRING=
//Semicolon separated list of supported configuration types, only
// supports Debug, Release, MinSizeRel, and RelWithDebInfo, anything
// else will be ignored.
CMAKE_CONFIGURATION_TYPES:STRING=Debug;Release;MinSizeRel;RelWithDebInfo
//CUDA compiler
CMAKE_CUDA_COMPILER:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/bin/nvcc.exe
//Flags used by the CUDA compiler during all build types.
CMAKE_CUDA_FLAGS:STRING=-D_WINDOWS -Xcompiler="/W3 /GR /EHsc"
//Flags used by the CUDA compiler during DEBUG builds.
CMAKE_CUDA_FLAGS_DEBUG:STRING=-Xcompiler="-MDd -Zi -Ob0 -Od /RTC1"
//Flags used by the CUDA compiler during MINSIZEREL builds.
CMAKE_CUDA_FLAGS_MINSIZEREL:STRING=-Xcompiler="-MD -O1 -Ob1" -DNDEBUG
//Flags used by the CUDA compiler during RELEASE builds.
CMAKE_CUDA_FLAGS_RELEASE:STRING=-Xcompiler="-MD -O2 -Ob2" -DNDEBUG
//Flags used by the CUDA compiler during RELWITHDEBINFO builds.
CMAKE_CUDA_FLAGS_RELWITHDEBINFO:STRING=-Xcompiler="-MD -Zi -O2 -Ob1" -DNDEBUG
//Libraries linked by default with all CUDA applications.
CMAKE_CUDA_STANDARD_LIBRARIES:STRING=kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib
//Flags used by the CXX compiler during all build types.
CMAKE_CXX_FLAGS:STRING=/DWIN32 /D_WINDOWS /W3 /GR /EHsc
//Flags used by the CXX compiler during DEBUG builds.
CMAKE_CXX_FLAGS_DEBUG:STRING=/MDd /Zi /Ob0 /Od /RTC1
//Flags used by the CXX compiler during MINSIZEREL builds.
CMAKE_CXX_FLAGS_MINSIZEREL:STRING=/MD /O1 /Ob1 /DNDEBUG
//Flags used by the CXX compiler during RELEASE builds.
CMAKE_CXX_FLAGS_RELEASE:STRING=/MD /O2 /Ob2 /DNDEBUG
//Flags used by the CXX compiler during RELWITHDEBINFO builds.
CMAKE_CXX_FLAGS_RELWITHDEBINFO:STRING=/MD /Zi /O2 /Ob1 /DNDEBUG
//Libraries linked by default with all C++ applications.
CMAKE_CXX_STANDARD_LIBRARIES:STRING=kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib
//Flags used by the C compiler during all build types.
CMAKE_C_FLAGS:STRING=/DWIN32 /D_WINDOWS /W3
//Flags used by the C compiler during DEBUG builds.
CMAKE_C_FLAGS_DEBUG:STRING=/MDd /Zi /Ob0 /Od /RTC1
//Flags used by the C compiler during MINSIZEREL builds.
CMAKE_C_FLAGS_MINSIZEREL:STRING=/MD /O1 /Ob1 /DNDEBUG
//Flags used by the C compiler during RELEASE builds.
CMAKE_C_FLAGS_RELEASE:STRING=/MD /O2 /Ob2 /DNDEBUG
//Flags used by the C compiler during RELWITHDEBINFO builds.
CMAKE_C_FLAGS_RELWITHDEBINFO:STRING=/MD /Zi /O2 /Ob1 /DNDEBUG
//Libraries linked by default with all C applications.
CMAKE_C_STANDARD_LIBRARIES:STRING=kernel32.lib user32.lib gdi32.lib winspool.lib shell32.lib ole32.lib oleaut32.lib uuid.lib comdlg32.lib advapi32.lib
//Flags used by the linker during all build types.
CMAKE_EXE_LINKER_FLAGS:STRING=/machine:x64
//Flags used by the linker during DEBUG builds.
CMAKE_EXE_LINKER_FLAGS_DEBUG:STRING=/debug /INCREMENTAL
//Flags used by the linker during MINSIZEREL builds.
CMAKE_EXE_LINKER_FLAGS_MINSIZEREL:STRING=/INCREMENTAL:NO
//Flags used by the linker during RELEASE builds.
CMAKE_EXE_LINKER_FLAGS_RELEASE:STRING=/INCREMENTAL:NO
//Flags used by the linker during RELWITHDEBINFO builds.
CMAKE_EXE_LINKER_FLAGS_RELWITHDEBINFO:STRING=/debug /INCREMENTAL
//User executables (bin)
CMAKE_INSTALL_BINDIR:PATH=bin
//Read-only architecture-independent data (DATAROOTDIR)
CMAKE_INSTALL_DATADIR:PATH=
//Read-only architecture-independent data root (share)
CMAKE_INSTALL_DATAROOTDIR:PATH=share
//Documentation root (DATAROOTDIR/doc/PROJECT_NAME)
CMAKE_INSTALL_DOCDIR:PATH=
//C header files (include)
CMAKE_INSTALL_INCLUDEDIR:PATH=include
//Info documentation (DATAROOTDIR/info)
CMAKE_INSTALL_INFODIR:PATH=
//Object code libraries (lib)
CMAKE_INSTALL_LIBDIR:PATH=lib
//Program executables (libexec)
CMAKE_INSTALL_LIBEXECDIR:PATH=libexec
//Locale-dependent data (DATAROOTDIR/locale)
CMAKE_INSTALL_LOCALEDIR:PATH=
//Modifiable single-machine data (var)
CMAKE_INSTALL_LOCALSTATEDIR:PATH=var
//Man documentation (DATAROOTDIR/man)
CMAKE_INSTALL_MANDIR:PATH=
//C header files for non-gcc (/usr/include)
CMAKE_INSTALL_OLDINCLUDEDIR:PATH=/usr/include
//Install path prefix, prepended onto install directories.
CMAKE_INSTALL_PREFIX:PATH=C:/Program Files/mxnet
//Run-time variable data (LOCALSTATEDIR/run)
CMAKE_INSTALL_RUNSTATEDIR:PATH=
//System admin executables (sbin)
CMAKE_INSTALL_SBINDIR:PATH=sbin
//Modifiable architecture-independent data (com)
CMAKE_INSTALL_SHAREDSTATEDIR:PATH=com
//Read-only single-machine data (etc)
CMAKE_INSTALL_SYSCONFDIR:PATH=etc
//Path to a program.
CMAKE_LINKER:FILEPATH=C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.29.30133/bin/Hostx64/x64/link.exe
//Flags used by the linker during the creation of modules during
// all build types.
CMAKE_MODULE_LINKER_FLAGS:STRING=/machine:x64
//Flags used by the linker during the creation of modules during
// DEBUG builds.
CMAKE_MODULE_LINKER_FLAGS_DEBUG:STRING=/debug /INCREMENTAL
//Flags used by the linker during the creation of modules during
// MINSIZEREL builds.
CMAKE_MODULE_LINKER_FLAGS_MINSIZEREL:STRING=/INCREMENTAL:NO
//Flags used by the linker during the creation of modules during
// RELEASE builds.
CMAKE_MODULE_LINKER_FLAGS_RELEASE:STRING=/INCREMENTAL:NO
//Flags used by the linker during the creation of modules during
// RELWITHDEBINFO builds.
CMAKE_MODULE_LINKER_FLAGS_RELWITHDEBINFO:STRING=/debug /INCREMENTAL
//Path to a program.
CMAKE_MT:FILEPATH=CMAKE_MT-NOTFOUND
//Value Computed by CMake
CMAKE_PROJECT_DESCRIPTION:STATIC=
//Value Computed by CMake
CMAKE_PROJECT_HOMEPAGE_URL:STATIC=
//Value Computed by CMake
CMAKE_PROJECT_NAME:STATIC=mxnet
//Value Computed by CMake
CMAKE_PROJECT_VERSION:STATIC=
//Value Computed by CMake
CMAKE_PROJECT_VERSION_MAJOR:STATIC=
//Value Computed by CMake
CMAKE_PROJECT_VERSION_MINOR:STATIC=
//Value Computed by CMake
CMAKE_PROJECT_VERSION_PATCH:STATIC=
//Value Computed by CMake
CMAKE_PROJECT_VERSION_TWEAK:STATIC=
//RC compiler
CMAKE_RC_COMPILER:FILEPATH=rc
//Flags for Windows Resource Compiler during all build types.
CMAKE_RC_FLAGS:STRING=-DWIN32
//Flags for Windows Resource Compiler during DEBUG builds.
CMAKE_RC_FLAGS_DEBUG:STRING=-D_DEBUG
//Flags for Windows Resource Compiler during MINSIZEREL builds.
CMAKE_RC_FLAGS_MINSIZEREL:STRING=
//Flags for Windows Resource Compiler during RELEASE builds.
CMAKE_RC_FLAGS_RELEASE:STRING=
//Flags for Windows Resource Compiler during RELWITHDEBINFO builds.
CMAKE_RC_FLAGS_RELWITHDEBINFO:STRING=
//Flags used by the linker during the creation of shared libraries
// during all build types.
CMAKE_SHARED_LINKER_FLAGS:STRING=/machine:x64
//Flags used by the linker during the creation of shared libraries
// during DEBUG builds.
CMAKE_SHARED_LINKER_FLAGS_DEBUG:STRING=/debug /INCREMENTAL
//Flags used by the linker during the creation of shared libraries
// during MINSIZEREL builds.
CMAKE_SHARED_LINKER_FLAGS_MINSIZEREL:STRING=/INCREMENTAL:NO
//Flags used by the linker during the creation of shared libraries
// during RELEASE builds.
CMAKE_SHARED_LINKER_FLAGS_RELEASE:STRING=/INCREMENTAL:NO
//Flags used by the linker during the creation of shared libraries
// during RELWITHDEBINFO builds.
CMAKE_SHARED_LINKER_FLAGS_RELWITHDEBINFO:STRING=/debug /INCREMENTAL
//If set, runtime paths are not added when installing shared libraries,
// but are added when building.
CMAKE_SKIP_INSTALL_RPATH:BOOL=OFF
//If set, runtime paths are not added when using shared libraries.
CMAKE_SKIP_RPATH:BOOL=OFF
//Flags used by the linker during the creation of static libraries
// during all build types.
CMAKE_STATIC_LINKER_FLAGS:STRING=/machine:x64
//Flags used by the linker during the creation of static libraries
// during DEBUG builds.
CMAKE_STATIC_LINKER_FLAGS_DEBUG:STRING=
//Flags used by the linker during the creation of static libraries
// during MINSIZEREL builds.
CMAKE_STATIC_LINKER_FLAGS_MINSIZEREL:STRING=
//Flags used by the linker during the creation of static libraries
// during RELEASE builds.
CMAKE_STATIC_LINKER_FLAGS_RELEASE:STRING=
//Flags used by the linker during the creation of static libraries
// during RELWITHDEBINFO builds.
CMAKE_STATIC_LINKER_FLAGS_RELWITHDEBINFO:STRING=
//If this value is on, makefiles will be generated without the
// .SILENT directive, and all commands will be echoed to the console
// during the make. This is useful for debugging only. With Visual
// Studio IDE projects all commands are done without /nologo.
CMAKE_VERBOSE_MAKEFILE:BOOL=OFF
//Colorize output during compilation
COLORIZE_OUTPUT:BOOL=ON
//Path to the coverage program that CTest uses for performing coverage
// inspection
COVERAGE_COMMAND:FILEPATH=COVERAGE_COMMAND-NOTFOUND
//Extra command line flags to pass to the coverage tool
COVERAGE_EXTRA_FLAGS:STRING=-l
//How many times to retry timed-out CTest submissions.
CTEST_SUBMIT_RETRY_COUNT:STRING=3
//How long to wait between timed-out CTest submissions.
CTEST_SUBMIT_RETRY_DELAY:STRING=5
CUDAToolkit_BIN_DIR:PATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/bin
//Path to a file.
CUDAToolkit_INCLUDE_DIR:PATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/include
//Path to a program.
CUDAToolkit_NVCC_EXECUTABLE:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/bin/nvcc.exe
//Path to a library.
CUDA_CUDART:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cudart.lib
//Path to a library.
CUDA_OpenCL_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/OpenCL.lib
//Path to a library.
CUDA_cublas_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cublas.lib
//Path to a library.
CUDA_cublas_static_LIBRARY:FILEPATH=CUDA_cublas_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_cuda_driver_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cuda.lib
//Path to a library.
CUDA_cudart_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cudart.lib
//Path to a library.
CUDA_cudart_static_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cudart_static.lib
//Path to a library.
CUDA_cufft_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cufft.lib
//Path to a library.
CUDA_cufft_static_LIBRARY:FILEPATH=CUDA_cufft_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_cufftw_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cufftw.lib
//Path to a library.
CUDA_culibos_LIBRARY:FILEPATH=CUDA_culibos_LIBRARY-NOTFOUND
//Path to a library.
CUDA_cupti_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/libnvvp/../extras/CUPTI/lib64/cupti.lib
//Path to a library.
CUDA_cupti_static_LIBRARY:FILEPATH=CUDA_cupti_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_curand_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/curand.lib
//Path to a library.
CUDA_curand_static_LIBRARY:FILEPATH=CUDA_curand_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_cusolver_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cusolver.lib
//Path to a library.
CUDA_cusolver_static_LIBRARY:FILEPATH=CUDA_cusolver_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_cusparse_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cusparse.lib
//Path to a library.
CUDA_cusparse_static_LIBRARY:FILEPATH=CUDA_cusparse_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppc_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppc.lib
//Path to a library.
CUDA_nppc_static_LIBRARY:FILEPATH=CUDA_nppc_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppial_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppial.lib
//Path to a library.
CUDA_nppial_static_LIBRARY:FILEPATH=CUDA_nppial_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppicc_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppicc.lib
//Path to a library.
CUDA_nppicc_static_LIBRARY:FILEPATH=CUDA_nppicc_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppicom_LIBRARY:FILEPATH=CUDA_nppicom_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppicom_static_LIBRARY:FILEPATH=CUDA_nppicom_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppidei_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppidei.lib
//Path to a library.
CUDA_nppidei_static_LIBRARY:FILEPATH=CUDA_nppidei_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppif_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppif.lib
//Path to a library.
CUDA_nppif_static_LIBRARY:FILEPATH=CUDA_nppif_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppig_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppig.lib
//Path to a library.
CUDA_nppig_static_LIBRARY:FILEPATH=CUDA_nppig_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppim_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppim.lib
//Path to a library.
CUDA_nppim_static_LIBRARY:FILEPATH=CUDA_nppim_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppist_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppist.lib
//Path to a library.
CUDA_nppist_static_LIBRARY:FILEPATH=CUDA_nppist_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppisu_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppisu.lib
//Path to a library.
CUDA_nppisu_static_LIBRARY:FILEPATH=CUDA_nppisu_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nppitc_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nppitc.lib
//Path to a library.
CUDA_nppitc_static_LIBRARY:FILEPATH=CUDA_nppitc_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_npps_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/npps.lib
//Path to a library.
CUDA_npps_static_LIBRARY:FILEPATH=CUDA_npps_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nvToolsExt_LIBRARY:FILEPATH=C:/Program Files/NVIDIA Corporation/NvToolsExt/lib/x64/nvToolsExt64_1.lib
//Path to a library.
CUDA_nvgraph_LIBRARY:FILEPATH=CUDA_nvgraph_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nvgraph_static_LIBRARY:FILEPATH=CUDA_nvgraph_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nvjpeg_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nvjpeg.lib
//Path to a library.
CUDA_nvjpeg_static_LIBRARY:FILEPATH=CUDA_nvjpeg_static_LIBRARY-NOTFOUND
//Path to a library.
CUDA_nvml_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nvml.lib
//Path to a library.
CUDA_nvrtc_LIBRARY:FILEPATH=C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/nvrtc.lib
//Path to cuDNN include directory.
CUDNN_INCLUDE:PATH=C:/Program Files/NVIDIA/CUDNN/v8.2/include
//Path to cuDNN library.
CUDNN_LIBRARY:FILEPATH=C:/Program Files/NVIDIA/CUDNN/v8.2/lib/x64/cudnn.lib
//cuDNN root folder
CUDNN_ROOT:PATH=C:/Program Files/NVIDIA/CUDNN/v8.2
//Path to cuTensor include directory.
CUTENSOR_INCLUDE:PATH=CUTENSOR_INCLUDE-NOTFOUND
//Path to cuTensor library.
CUTENSOR_LIBRARY:FILEPATH=CUTENSOR_LIBRARY-NOTFOUND
//cuTensor root folder
CUTENSOR_ROOT:PATH=/usr/local/cuda
//Maximum time allowed before CTest will kill the test.
DART_TESTING_TIMEOUT:STRING=1500
//Semicolon separated list of sanitizer names. E.g 'address;leak'.
// Supported sanitizers are
//\n address, leak and thread.
DMLC_ENABLED_SANITIZERS:STRING=address;leak
//Build with dynamic CRT on Windows (/MD)
DMLC_FORCE_SHARED_CRT:BOOL=OFF
//Use santizer flags; to specify a custom path for sanitizers,
// set this variable a value that's not ON or OFF
DMLC_USE_SANITIZER:BOOL=OFF
//EXTRA OPERATORS PATH
EXTRA_OPERATORS:PATH=
//Path to a program.
GITCOMMAND:FILEPATH=C:/Programs/Git/cmd/git.exe
//Build google tests
GOOGLE_TEST:BOOL=OFF
//Path to a library.
GTEST_LIBRARY_DEBUG:FILEPATH=GTEST_LIBRARY_DEBUG-NOTFOUND
//Path to a library.
GTEST_MAIN_LIBRARY_DEBUG:FILEPATH=GTEST_MAIN_LIBRARY_DEBUG-NOTFOUND
//The directory containing a CMake configuration file for GTest.
GTest_DIR:PATH=GTest_DIR-NOTFOUND
//Install documentation
INSTALL_DOCUMENTATION:BOOL=OFF
//Install the example source files.
INSTALL_EXAMPLES:BOOL=OFF
//Folder contains user-installed intel libs
INTEL_HOME_ROOT:PATH=C:/cadence/Cadence/SPB_Data/intel
//Folder contains root-installed intel libs
INTEL_OPT_ROOT:PATH=/opt/intel
//Log exceptions but do not abort
LOG_FATAL_THROW:BOOL=ON
//Command to build the project
MAKECOMMAND:STRING=D:\Programs\CMake\bin\cmake.exe --build . --config "${CTEST_CONFIGURATION_TYPE}"
//Path to the memory checking command, used for memory error detection.
MEMORYCHECK_COMMAND:FILEPATH=MEMORYCHECK_COMMAND-NOTFOUND
//File that contains suppressions for the memory checker
MEMORYCHECK_SUPPRESSIONS_FILE:FILEPATH=
//Path to a file.
MKL_INCLUDE_DIR:PATH=C:/Program Files (x86)/Intel/oneAPI/mkl/2022.0.3/include
//Use multi-threading
MKL_MULTI_THREADED:BOOL=ON
//Use single dynamic library interface
MKL_USE_SINGLE_DYNAMIC_LIBRARY:BOOL=ON
//ON
MSHADOW_IN_CXX11:BOOL=OFF
//Build shared libraries instead of static libraries
MXNET_BUILD_SHARED_LIBS:BOOL=ON
//Target NVIDIA GPU achitecture.
//\nFormat: Auto | Common | All | LIST(ARCH_AND_PTX ...)
//\n- "Auto" detects local machine GPU compute arch at runtime.
//\n- "Common" and "All" cover common and entire subsets of architectures
//\n- ARCH_AND_PTX : NAME | NUM.NUM | NUM.NUM(NUM.NUM) | NUM.NUM+PTX
//\n- NAME: Fermi Kepler Maxwell Kepler+Tegra Kepler+Tesla Maxwell+Tegra
// Pascal Volta Turing
//\n- NUM: Any number. Only those pairs are currently accepted by
// NVCC though:
//\n 2.0 2.1 3.0 3.2 3.5 3.7 5.0 5.2 5.3 6.0 6.2 7.0 7.2 7.5
MXNET_CUDA_ARCH:STRING=Auto
//Build with dynamic CRT on Windows (/MD)
MXNET_FORCE_SHARED_CRT:BOOL=ON
//Path to a file.
OpenBLAS_INCLUDE_DIR:PATH=E:/vMxnet/openblasv0320/dev
//Path to a library.
OpenBLAS_LIB:FILEPATH=E:/vMxnet/openblasv0320/dev/lib/RELEASE/openblas.lib
//The directory containing a CMake configuration file for OpenCV.
OpenCV_DIR:PATH=D:/OpenCV455/dev
//CXX compiler flags for OpenMP parallelization
OpenMP_CXX_FLAGS:STRING=-openmp
//CXX compiler libraries for OpenMP parallelization
OpenMP_CXX_LIB_NAMES:STRING=
//C compiler flags for OpenMP parallelization
OpenMP_C_FLAGS:STRING=-openmp
//C compiler libraries for OpenMP parallelization
OpenMP_C_LIB_NAMES:STRING=
//Path to a program.
PYTHON_EXECUTABLE:FILEPATH=C:/Python310/python.exe
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FIND_PACKAGE_MESSAGE_DETAILS_CUDAToolkit:INTERNAL=[C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/include][C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/lib/x64/cudart.lib][C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.5/bin/nvcc.exe][v11.5.119()]
//Details about finding CUDNN
FIND_PACKAGE_MESSAGE_DETAILS_CUDNN:INTERNAL=[C:/Program Files/NVIDIA/CUDNN/v8.2/lib/x64/cudnn.lib][C:/Program Files/NVIDIA/CUDNN/v8.2/include][v()]
//Details about finding GTest
FIND_PACKAGE_MESSAGE_DETAILS_GTest:INTERNAL=[gtest][E:/vMxnet/mxnet200beta0rc1/3rdparty/googletest/googletest/include][gtest_main][v()]
//Details about finding OpenCV
FIND_PACKAGE_MESSAGE_DETAILS_OpenCV:INTERNAL=[D:/OpenCV455/dev][cfound components: core highgui imgproc imgcodecs ][v4.5.5()]
//Details about finding OpenMP
FIND_PACKAGE_MESSAGE_DETAILS_OpenMP:INTERNAL=[TRUE][TRUE][c ][v2.0()]
//Details about finding OpenMP_C
FIND_PACKAGE_MESSAGE_DETAILS_OpenMP_C:INTERNAL=[-openmp][v2.0()]
//Details about finding OpenMP_CXX
FIND_PACKAGE_MESSAGE_DETAILS_OpenMP_CXX:INTERNAL=[-openmp][v2.0()]
//Details about finding Python3
FIND_PACKAGE_MESSAGE_DETAILS_Python3:INTERNAL=[C:/Python310/python.exe][cfound components: Interpreter ][v3.10.4()]
//Details about finding PythonInterp
FIND_PACKAGE_MESSAGE_DETAILS_PythonInterp:INTERNAL=[C:/Python310/python.exe][v3.10.4()]
//Details about finding Threads
FIND_PACKAGE_MESSAGE_DETAILS_Threads:INTERNAL=[TRUE][v()]
//ADVANCED property for variable: GITCOMMAND
GITCOMMAND-ADVANCED:INTERNAL=1
//ADVANCED property for variable: GTEST_LIBRARY_DEBUG
GTEST_LIBRARY_DEBUG-ADVANCED:INTERNAL=1
//ADVANCED property for variable: GTEST_MAIN_LIBRARY_DEBUG
GTEST_MAIN_LIBRARY_DEBUG-ADVANCED:INTERNAL=1
//Have library rt
HAVE_CLOCK_GETTIME_IN_LIBRT:INTERNAL=
//ADVANCED property for variable: MAKECOMMAND
MAKECOMMAND-ADVANCED:INTERNAL=1
//ADVANCED property for variable: MEMORYCHECK_COMMAND
MEMORYCHECK_COMMAND-ADVANCED:INTERNAL=1
//ADVANCED property for variable: MEMORYCHECK_SUPPRESSIONS_FILE
MEMORYCHECK_SUPPRESSIONS_FILE-ADVANCED:INTERNAL=1
//ADVANCED property for variable: OpenBLAS_INCLUDE_DIR
OpenBLAS_INCLUDE_DIR-ADVANCED:INTERNAL=1
//ADVANCED property for variable: OpenBLAS_LIB
OpenBLAS_LIB-ADVANCED:INTERNAL=1
//Result of TRY_COMPILE
OpenMP_COMPILE_RESULT_CXX_openmp:INTERNAL=TRUE
//Result of TRY_COMPILE
OpenMP_COMPILE_RESULT_C_openmp:INTERNAL=TRUE
//ADVANCED property for variable: OpenMP_CXX_FLAGS
OpenMP_CXX_FLAGS-ADVANCED:INTERNAL=1
//ADVANCED property for variable: OpenMP_CXX_LIB_NAMES
OpenMP_CXX_LIB_NAMES-ADVANCED:INTERNAL=1
//CXX compiler's OpenMP specification date
OpenMP_CXX_SPEC_DATE:INTERNAL=200203
//ADVANCED property for variable: OpenMP_C_FLAGS
OpenMP_C_FLAGS-ADVANCED:INTERNAL=1
//ADVANCED property for variable: OpenMP_C_LIB_NAMES
OpenMP_C_LIB_NAMES-ADVANCED:INTERNAL=1
//C compiler's OpenMP specification date
OpenMP_C_SPEC_DATE:INTERNAL=200203
//Result of TRY_COMPILE
OpenMP_SPECTEST_CXX_:INTERNAL=TRUE
//Result of TRY_COMPILE
OpenMP_SPECTEST_C_:INTERNAL=TRUE
//ADVANCED property for variable: PYTHON_EXECUTABLE
PYTHON_EXECUTABLE-ADVANCED:INTERNAL=1
//ADVANCED property for variable: SITE
SITE-ADVANCED:INTERNAL=1
//Build with x86 F16C instruction support
USE_F16C:INTERNAL=ON
//Build with x86 SSE instruction support
USE_SSE:INTERNAL=OFF
//Have symbol backtrace
_Backtrace_SYM_FOUND:INTERNAL=
//CMAKE_INSTALL_PREFIX during last run
_GNUInstallDirs_LAST_CMAKE_INSTALL_PREFIX:INTERNAL=C:/Program Files/mxnet
//Path to a program.
_Python3_EXECUTABLE:INTERNAL=C:/Python310/python.exe
//Python3 Properties
_Python3_INTERPRETER_PROPERTIES:INTERNAL=Python;3;10;4;64;;cp310-win_amd64;C:\Python310\Lib;C:\Python310\Lib;C:\Python310\Lib\site-packages;C:\Python310\Lib\site-packages
_Python3_INTERPRETER_SIGNATURE:INTERNAL=7df3158d636d36d5081bf361c4bf02b0
//Result of TRY_COMPILE
compile_result:INTERNAL=TRUE
//ADVANCED property for variable: gtest_build_samples
gtest_build_samples-ADVANCED:INTERNAL=1
//ADVANCED property for variable: gtest_build_tests
gtest_build_tests-ADVANCED:INTERNAL=1
//ADVANCED property for variable: gtest_disable_pthreads
gtest_disable_pthreads-ADVANCED:INTERNAL=1
//ADVANCED property for variable: gtest_hide_internal_symbols
gtest_hide_internal_symbols-ADVANCED:INTERNAL=1
//Result of TRY_RUN
run_result:INTERNAL=0
@SpaceView which BLAS you want to use? MKL or OpenBLAS? because you're setting MKL flags, but in the CMakeCache there is
//Selected BLAS library
BLAS:STRING=Open
@bgawrych
I tried again and everything is the same if I use
BLAS:STRING=MKL
--------------> SAME ERROR:
2>np_matrix_rank.cu.obj : error LNK2019: 无法解析的外部符号 "__int64 __cdecl mxnet::op::linalg_gesdd_workspace_query<struct mshadow::gpu,double,__int64>(__int64,__int64,struct mshadow::Tensor<struct mshadow::gpu,2,double> const &,struct mshadow::Tensor<struct mshadow::gpu,1,double> const &,struct mshadow::Tensor<struct mshadow::gpu,2,double> const &,struct mshadow::Stream<struct mshadow::gpu> *)" (??$linalg_gesdd_workspace_query@Ugpu@mshadow@@N_J@op@mxnet@@YA_J_J0AEBU?$Tensor@Ugpu@mshadow@@$01N@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$00N@3@1PEAU?$Stream@Ugpu@mshadow@@@3@@Z),函数 "public: static unsigned __int64 __cdecl mxnet::op::WSQ<struct mshadow::gpu,double>::SVDWorkspaceSizeQuery(class mxnet::TBlob const &,class mxnet::TShape const &,class mxnet::TShape const &,class mxnet::TShape const &,struct mxnet::OpContext const &)" (?SVDWorkspaceSizeQuery@?$WSQ@Ugpu@mshadow@@N@op@mxnet@@SA_KAEBVTBlob@3@AEBVTShape@3@11AEBUOpContext@3@@Z) 中引用了该符号
2>np_pinv.cu.obj : error LNK2001: 无法解析的外部符号 "__int64 __cdecl mxnet::op::linalg_gesdd_workspace_query<struct mshadow::gpu,double,__int64>(__int64,__int64,struct mshadow::Tensor<struct mshadow::gpu,2,double> const &,struct mshadow::Tensor<struct mshadow::gpu,1,double> const &,struct mshadow::Tensor<struct mshadow::gpu,2,double> const &,struct mshadow::Stream<struct mshadow::gpu> *)" (??$linalg_gesdd_workspace_query@Ugpu@mshadow@@N_J@op@mxnet@@YA_J_J0AEBU?$Tensor@Ugpu@mshadow@@$01N@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$00N@3@1PEAU?$Stream@Ugpu@mshadow@@@3@@Z)
2>np_matrix_rank.cu.obj : error LNK2019: 无法解析的外部符号 "__int64 __cdecl mxnet::op::linalg_gesdd_workspace_query<struct mshadow::gpu,float,__int64>(__int64,__int64,struct mshadow::Tensor<struct mshadow::gpu,2,float> const &,struct mshadow::Tensor<struct mshadow::gpu,1,float> const &,struct mshadow::Tensor<struct mshadow::gpu,2,float> const &,struct mshadow::Stream<struct mshadow::gpu> *)" (??$linalg_gesdd_workspace_query@Ugpu@mshadow@@M_J@op@mxnet@@YA_J_J0AEBU?$Tensor@Ugpu@mshadow@@$01M@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$00M@3@1PEAU?$Stream@Ugpu@mshadow@@@3@@Z),函数 "public: static unsigned __int64 __cdecl mxnet::op::WSQ<struct mshadow::gpu,float>::SVDWorkspaceSizeQuery(class mxnet::TBlob const &,class mxnet::TShape const &,class mxnet::TShape const &,class mxnet::TShape const &,struct mxnet::OpContext const &)" (?SVDWorkspaceSizeQuery@?$WSQ@Ugpu@mshadow@@M@op@mxnet@@SA_KAEBVTBlob@3@AEBVTShape@3@11AEBUOpContext@3@@Z) 中引用了该符号
2>np_pinv.cu.obj : error LNK2001: 无法解析的外部符号 "__int64 __cdecl mxnet::op::linalg_gesdd_workspace_query<struct mshadow::gpu,float,__int64>(__int64,__int64,struct mshadow::Tensor<struct mshadow::gpu,2,float> const &,struct mshadow::Tensor<struct mshadow::gpu,1,float> const &,struct mshadow::Tensor<struct mshadow::gpu,2,float> const &,struct mshadow::Stream<struct mshadow::gpu> *)" (??$linalg_gesdd_workspace_query@Ugpu@mshadow@@M_J@op@mxnet@@YA_J_J0AEBU?$Tensor@Ugpu@mshadow@@$01M@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$00M@3@1PEAU?$Stream@Ugpu@mshadow@@@3@@Z)
2>la_op.cu.obj : error LNK2019: 无法解析的外部符号 "void __cdecl linalg_batch_det_backward_helper<struct mshadow::gpu,double,__int64>(struct mshadow::Tensor<struct mshadow::gpu,3,double> const &,struct mshadow::Tensor<struct mshadow::gpu,2,__int64> const &,struct mshadow::Tensor<struct mshadow::gpu,1,double> const &,struct mshadow::Tensor<struct mshadow::gpu,3,double> const &,double,struct mxnet::OpContext const &)" (??$linalg_batch_det_backward_helper@Ugpu@mshadow@@N_J@@YAXAEBU?$Tensor@Ugpu@mshadow@@$02N@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$01_J@1@AEBU?$Tensor@Ugpu@mshadow@@$00N@1@0NAEBUOpContext@mxnet@@@Z),函数 "public: static void __cdecl mxnet::op::det_backward::op<struct mshadow::gpu,double,__int64>(struct mshadow::Tensor<struct mshadow::gpu,1,double> const &,struct mshadow::Tensor<struct mshadow::gpu,1,double> const &,struct mshadow::Tensor<struct mshadow::gpu,3,double> const &,struct mshadow::Tensor<struct mshadow::gpu,2,__int64> const &,struct mshadow::Tensor<struct mshadow::gpu,3,double> const &,struct mxnet::OpContext const &,struct nnvm::NodeAttrs const &)" (??$op@Ugpu@mshadow@@N_J@det_backward@op@mxnet@@SAXAEBU?$Tensor@Ugpu@mshadow@@$00N@mshadow@@0AEBU?$Tensor@Ugpu@mshadow@@$02N@4@AEBU?$Tensor@Ugpu@mshadow@@$01_J@4@1AEBUOpContext@2@AEBUNodeAttrs@nnvm@@@Z) 中引用了该符号
2>la_op.cu.obj : error LNK2019: 无法解析的外部符号 "void __cdecl linalg_batch_det_backward_helper<struct mshadow::gpu,float,__int64>(struct mshadow::Tensor<struct mshadow::gpu,3,float> const &,struct mshadow::Tensor<struct mshadow::gpu,2,__int64> const &,struct mshadow::Tensor<struct mshadow::gpu,1,float> const &,struct mshadow::Tensor<struct mshadow::gpu,3,float> const &,float,struct mxnet::OpContext const &)" (??$linalg_batch_det_backward_helper@Ugpu@mshadow@@M_J@@YAXAEBU?$Tensor@Ugpu@mshadow@@$02M@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$01_J@1@AEBU?$Tensor@Ugpu@mshadow@@$00M@1@0MAEBUOpContext@mxnet@@@Z),函数 "public: static void __cdecl mxnet::op::det_backward::op<struct mshadow::gpu,float,__int64>(struct mshadow::Tensor<struct mshadow::gpu,1,float> const &,struct mshadow::Tensor<struct mshadow::gpu,1,float> const &,struct mshadow::Tensor<struct mshadow::gpu,3,float> const &,struct mshadow::Tensor<struct mshadow::gpu,2,__int64> const &,struct mshadow::Tensor<struct mshadow::gpu,3,float> const &,struct mxnet::OpContext const &,struct nnvm::NodeAttrs const &)" (??$op@Ugpu@mshadow@@M_J@det_backward@op@mxnet@@SAXAEBU?$Tensor@Ugpu@mshadow@@$00M@mshadow@@0AEBU?$Tensor@Ugpu@mshadow@@$02M@4@AEBU?$Tensor@Ugpu@mshadow@@$01_J@4@1AEBUOpContext@2@AEBUNodeAttrs@nnvm@@@Z) 中引用了该符号
2>la_op.cu.obj : error LNK2019: 无法解析的外部符号 "void __cdecl linalg_batch_getrf<struct mshadow::gpu,double,__int64>(struct mshadow::Tensor<struct mshadow::gpu,3,double> const &,struct mshadow::Tensor<struct mshadow::gpu,2,__int64> const &,bool,struct mshadow::Stream<struct mshadow::gpu> *)" (??$linalg_batch_getrf@Ugpu@mshadow@@N_J@@YAXAEBU?$Tensor@Ugpu@mshadow@@$02N@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$01_J@1@_NPEAU?$Stream@Ugpu@mshadow@@@1@@Z),函数 "public: static void __cdecl mxnet::op::det::op<struct mshadow::gpu,double,__int64>(struct mshadow::Tensor<struct mshadow::gpu,3,double> const &,struct mshadow::Tensor<struct mshadow::gpu,1,double> const &,struct mshadow::Tensor<struct mshadow::gpu,3,double> const &,struct mshadow::Tensor<struct mshadow::gpu,2,__int64> const &,struct mxnet::OpContext const &,struct nnvm::NodeAttrs const &)" (??$op@Ugpu@mshadow@@N_J@det@op@mxnet@@SAXAEBU?$Tensor@Ugpu@mshadow@@$02N@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$00N@4@0AEBU?$Tensor@Ugpu@mshadow@@$01_J@4@AEBUOpContext@2@AEBUNodeAttrs@nnvm@@@Z) 中引用了该符号
2>la_op.cu.obj : error LNK2019: 无法解析的外部符号 "void __cdecl linalg_batch_getrf<struct mshadow::gpu,float,__int64>(struct mshadow::Tensor<struct mshadow::gpu,3,float> const &,struct mshadow::Tensor<struct mshadow::gpu,2,__int64> const &,bool,struct mshadow::Stream<struct mshadow::gpu> *)" (??$linalg_batch_getrf@Ugpu@mshadow@@M_J@@YAXAEBU?$Tensor@Ugpu@mshadow@@$02M@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$01_J@1@_NPEAU?$Stream@Ugpu@mshadow@@@1@@Z),函数 "public: static void __cdecl mxnet::op::det::op<struct mshadow::gpu,float,__int64>(struct mshadow::Tensor<struct mshadow::gpu,3,float> const &,struct mshadow::Tensor<struct mshadow::gpu,1,float> const &,struct mshadow::Tensor<struct mshadow::gpu,3,float> const &,struct mshadow::Tensor<struct mshadow::gpu,2,__int64> const &,struct mxnet::OpContext const &,struct nnvm::NodeAttrs const &)" (??$op@Ugpu@mshadow@@M_J@det@op@mxnet@@SAXAEBU?$Tensor@Ugpu@mshadow@@$02M@mshadow@@AEBU?$Tensor@Ugpu@mshadow@@$00M@4@0AEBU?$Tensor@Ugpu@mshadow@@$01_J@4@AEBUOpContext@2@AEBUNodeAttrs@nnvm@@@Z) 中引用了该符号
2>crop.cc.obj : error LNK2019: 无法解析的外部符号 "void __cdecl mxnet::op::image::ResizeImplCUDA<class mshadow::bfloat::bf16_t,struct mshadow::Tensor<struct mshadow::gpu,3,class mshadow::bfloat::bf16_t>,float>(struct mshadow::Stream<struct mshadow::gpu> *,struct mshadow::Tensor<struct mshadow::gpu,3,class mshadow::bfloat::bf16_t>,struct mshadow::Tensor<struct mshadow::gpu,3,class mshadow::bfloat::bf16_t>)" (??$ResizeImplCUDA@Vbf16_t@bfloat@mshadow@@U?$Tensor@Ugpu@mshadow@@$02Vbf16_t@bfloat@2@@3@M@image@op@mxnet@@YAXPEAU?$Stream@Ugpu@mshadow@@@mshadow@@U?$Tensor@Ugpu@mshadow@@$02Vbf16_t@bfloat@2@@4@1@Z),函数 "void __cdecl mxnet::op::image::ResizeImplWrapper<struct mshadow::cpu>(struct mxnet::op::image::ResizeParam const &,struct mxnet::OpContext const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &)" (??$ResizeImplWrapper@Ucpu@mshadow@@@image@op@mxnet@@YAXAEBUResizeParam@012@AEBUOpContext@2@AEBV?$vector@VTBlob@mxnet@@V?$allocator@VTBlob@mxnet@@@std@@@std@@2@Z) 中引用了该符号
2>resize.cc.obj : error LNK2001: 无法解析的外部符号 "void __cdecl mxnet::op::image::ResizeImplCUDA<class mshadow::bfloat::bf16_t,struct mshadow::Tensor<struct mshadow::gpu,3,class mshadow::bfloat::bf16_t>,float>(struct mshadow::Stream<struct mshadow::gpu> *,struct mshadow::Tensor<struct mshadow::gpu,3,class mshadow::bfloat::bf16_t>,struct mshadow::Tensor<struct mshadow::gpu,3,class mshadow::bfloat::bf16_t>)" (??$ResizeImplCUDA@Vbf16_t@bfloat@mshadow@@U?$Tensor@Ugpu@mshadow@@$02Vbf16_t@bfloat@2@@3@M@image@op@mxnet@@YAXPEAU?$Stream@Ugpu@mshadow@@@mshadow@@U?$Tensor@Ugpu@mshadow@@$02Vbf16_t@bfloat@2@@4@1@Z)
2>crop.cc.obj : error LNK2019: 无法解析的外部符号 "void __cdecl mxnet::op::image::ResizeImplCUDA<class mshadow::bfloat::bf16_t,struct mshadow::Tensor<struct mshadow::gpu,4,class mshadow::bfloat::bf16_t>,float>(struct mshadow::Stream<struct mshadow::gpu> *,struct mshadow::Tensor<struct mshadow::gpu,4,class mshadow::bfloat::bf16_t>,struct mshadow::Tensor<struct mshadow::gpu,4,class mshadow::bfloat::bf16_t>)" (??$ResizeImplCUDA@Vbf16_t@bfloat@mshadow@@U?$Tensor@Ugpu@mshadow@@$03Vbf16_t@bfloat@2@@3@M@image@op@mxnet@@YAXPEAU?$Stream@Ugpu@mshadow@@@mshadow@@U?$Tensor@Ugpu@mshadow@@$03Vbf16_t@bfloat@2@@4@1@Z),函数 "void __cdecl mxnet::op::image::ResizeImplWrapper<struct mshadow::cpu>(struct mxnet::op::image::ResizeParam const &,struct mxnet::OpContext const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &)" (??$ResizeImplWrapper@Ucpu@mshadow@@@image@op@mxnet@@YAXAEBUResizeParam@012@AEBUOpContext@2@AEBV?$vector@VTBlob@mxnet@@V?$allocator@VTBlob@mxnet@@@std@@@std@@2@Z) 中引用了该符号
2>resize.cc.obj : error LNK2001: 无法解析的外部符号 "void __cdecl mxnet::op::image::ResizeImplCUDA<class mshadow::bfloat::bf16_t,struct mshadow::Tensor<struct mshadow::gpu,4,class mshadow::bfloat::bf16_t>,float>(struct mshadow::Stream<struct mshadow::gpu> *,struct mshadow::Tensor<struct mshadow::gpu,4,class mshadow::bfloat::bf16_t>,struct mshadow::Tensor<struct mshadow::gpu,4,class mshadow::bfloat::bf16_t>)" (??$ResizeImplCUDA@Vbf16_t@bfloat@mshadow@@U?$Tensor@Ugpu@mshadow@@$03Vbf16_t@bfloat@2@@3@M@image@op@mxnet@@YAXPEAU?$Stream@Ugpu@mshadow@@@mshadow@@U?$Tensor@Ugpu@mshadow@@$03Vbf16_t@bfloat@2@@4@1@Z)
2>image_random.cc.obj : error LNK2019: 无法解析的外部符号 "void __cdecl mxnet::op::image::ToTensorImplCUDA<class mshadow::bfloat::bf16_t,struct mshadow::Tensor<struct mshadow::gpu,3,class mshadow::bfloat::bf16_t>,struct mshadow::Tensor<struct mshadow::gpu,3,float> >(struct mshadow::Stream<struct mshadow::gpu> *,struct mshadow::Tensor<struct mshadow::gpu,3,class mshadow::bfloat::bf16_t>,struct mshadow::Tensor<struct mshadow::gpu,3,float>,int,float)" (??$ToTensorImplCUDA@Vbf16_t@bfloat@mshadow@@U?$Tensor@Ugpu@mshadow@@$02Vbf16_t@bfloat@2@@3@U?$Tensor@Ugpu@mshadow@@$02M@3@@image@op@mxnet@@YAXPEAU?$Stream@Ugpu@mshadow@@@mshadow@@U?$Tensor@Ugpu@mshadow@@$02Vbf16_t@bfloat@2@@4@U?$Tensor@Ugpu@mshadow@@$02M@4@HM@Z),函数 "void __cdecl mxnet::op::image::ToTensorOpForward<struct mshadow::cpu>(struct nnvm::NodeAttrs const &,struct mxnet::OpContext const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &,class std::vector<enum mxnet::OpReqType,class std::allocator<enum mxnet::OpReqType> > const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &)" (??$ToTensorOpForward@Ucpu@mshadow@@@image@op@mxnet@@YAXAEBUNodeAttrs@nnvm@@AEBUOpContext@2@AEBV?$vector@VTBlob@mxnet@@V?$allocator@VTBlob@mxnet@@@std@@@std@@AEBV?$vector@W4OpReqType@mxnet@@V?$allocator@W4OpReqType@mxnet@@@std@@@7@2@Z) 中引用了该符号
2>image_random.cc.obj : error LNK2019: 无法解析的外部符号 "void __cdecl mxnet::op::image::ToTensorImplCUDA<class mshadow::bfloat::bf16_t,struct mshadow::Tensor<struct mshadow::gpu,4,class mshadow::bfloat::bf16_t>,struct mshadow::Tensor<struct mshadow::gpu,4,float> >(struct mshadow::Stream<struct mshadow::gpu> *,struct mshadow::Tensor<struct mshadow::gpu,4,class mshadow::bfloat::bf16_t>,struct mshadow::Tensor<struct mshadow::gpu,4,float>,int,float)" (??$ToTensorImplCUDA@Vbf16_t@bfloat@mshadow@@U?$Tensor@Ugpu@mshadow@@$03Vbf16_t@bfloat@2@@3@U?$Tensor@Ugpu@mshadow@@$03M@3@@image@op@mxnet@@YAXPEAU?$Stream@Ugpu@mshadow@@@mshadow@@U?$Tensor@Ugpu@mshadow@@$03Vbf16_t@bfloat@2@@4@U?$Tensor@Ugpu@mshadow@@$03M@4@HM@Z),函数 "void __cdecl mxnet::op::image::ToTensorOpForward<struct mshadow::cpu>(struct nnvm::NodeAttrs const &,struct mxnet::OpContext const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &,class std::vector<enum mxnet::OpReqType,class std::allocator<enum mxnet::OpReqType> > const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &)" (??$ToTensorOpForward@Ucpu@mshadow@@@image@op@mxnet@@YAXAEBUNodeAttrs@nnvm@@AEBUOpContext@2@AEBV?$vector@VTBlob@mxnet@@V?$allocator@VTBlob@mxnet@@@std@@@std@@AEBV?$vector@W4OpReqType@mxnet@@V?$allocator@W4OpReqType@mxnet@@@std@@@7@2@Z) 中引用了该符号
2>image_random.cc.obj : error LNK2019: 无法解析的外部符号 "void __cdecl mxnet::op::image::NormalizeImplCUDA<class mshadow::bfloat::bf16_t>(struct mshadow::Stream<struct mshadow::gpu> *,class mshadow::bfloat::bf16_t const *,class mshadow::bfloat::bf16_t *,int,int,int,int,int,float,float,float,float,float,float)" (??$NormalizeImplCUDA@Vbf16_t@bfloat@mshadow@@@image@op@mxnet@@YAXPEAU?$Stream@Ugpu@mshadow@@@mshadow@@PEBVbf16_t@bfloat@4@PEAV564@HHHHHMMMMMM@Z),函数 "void __cdecl mxnet::op::image::NormalizeOpForward<struct mshadow::cpu>(struct nnvm::NodeAttrs const &,struct mxnet::OpContext const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &,class std::vector<enum mxnet::OpReqType,class std::allocator<enum mxnet::OpReqType> > const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &)" (??$NormalizeOpForward@Ucpu@mshadow@@@image@op@mxnet@@YAXAEBUNodeAttrs@nnvm@@AEBUOpContext@2@AEBV?$vector@VTBlob@mxnet@@V?$allocator@VTBlob@mxnet@@@std@@@std@@AEBV?$vector@W4OpReqType@mxnet@@V?$allocator@W4OpReqType@mxnet@@@std@@@7@2@Z) 中引用了该符号
2>image_random.cc.obj : error LNK2019: 无法解析的外部符号 "void __cdecl mxnet::op::image::NormalizeBackwardImplCUDA<class mshadow::bfloat::bf16_t>(struct mshadow::Stream<struct mshadow::gpu> *,class mshadow::bfloat::bf16_t const *,class mshadow::bfloat::bf16_t *,int,int,int,int,int,float,float,float)" (??$NormalizeBackwardImplCUDA@Vbf16_t@bfloat@mshadow@@@image@op@mxnet@@YAXPEAU?$Stream@Ugpu@mshadow@@@mshadow@@PEBVbf16_t@bfloat@4@PEAV564@HHHHHMMM@Z),函数 "void __cdecl mxnet::op::image::NormalizeOpBackward<struct mshadow::cpu>(struct nnvm::NodeAttrs const &,struct mxnet::OpContext const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &,class std::vector<enum mxnet::OpReqType,class std::allocator<enum mxnet::OpReqType> > const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &)" (??$NormalizeOpBackward@Ucpu@mshadow@@@image@op@mxnet@@YAXAEBUNodeAttrs@nnvm@@AEBUOpContext@2@AEBV?$vector@VTBlob@mxnet@@V?$allocator@VTBlob@mxnet@@@std@@@std@@AEBV?$vector@W4OpReqType@mxnet@@V?$allocator@W4OpReqType@mxnet@@@std@@@7@2@Z) 中引用了该符号
2>np_multinomial_op.cc.obj : error LNK2019: 无法解析的外部符号 "void __cdecl mxnet::op::CheckPvalGPU<class mshadow::bfloat::bf16_t>(struct mxnet::OpContext const &,class mshadow::bfloat::bf16_t *,int)" (??$CheckPvalGPU@Vbf16_t@bfloat@mshadow@@@op@mxnet@@YAXAEBUOpContext@1@PEAVbf16_t@bfloat@mshadow@@H@Z),函数 "void __cdecl mxnet::op::NumpyMultinomialForward<struct mshadow::cpu>(struct nnvm::NodeAttrs const &,struct mxnet::OpContext const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &,class std::vector<enum mxnet::OpReqType,class std::allocator<enum mxnet::OpReqType> > const &,class std::vector<class mxnet::TBlob,class std::allocator<class mxnet::TBlob> > const &)" (??$NumpyMultinomialForward@Ucpu@mshadow@@@op@mxnet@@YAXAEBUNodeAttrs@nnvm@@AEBUOpContext@1@AEBV?$vector@VTBlob@mxnet@@V?$allocator@VTBlob@mxnet@@@std@@@std@@AEBV?$vector@W4OpReqType@mxnet@@V?$allocator@W4OpReqType@mxnet@@@std@@@6@2@Z) 中引用了该符号
E:\vMxnet\mxnet200beta0rc1\dev\Debug\mxnet_86.dll : fatal error LNK1120: 13 个无法解析的外部命令
Hi. Maybe u try using python ./ci/build_windows.py -f WIN_GPU
to compile mxnet(v1.9.x) with VS2019.
Description
Compile mxnetv2.0.0.beta0.rc1+ VS2019 + MKL
Error Message
link problem as below,
To Reproduce
Compile project with VS2019 + MKL MKL_USE_SINGLE_DYNAMIC_LIBRARY MKL_MULTI_THREAD USE_MKL_LAYERNORM
Environment
WINDOWS 10, VS20199, MXNETv2.0.0.beta0.rc1
anybody can help?