[BUG] Visual studio fails to compile unit tests/examples

[akfite]

Describe the bug
CMake generates a solution that fails to compile 11 of 20 projects on VS2022.

From #147 :

The problem is not that nvcc is being passed an incorrect flag, but rather that fvisibility is not valid on VS. We use the option -forward-unknown-to-host-compiler, so any unknown parameter (of which this is one), nvcc will automatically forward to VS.

To Reproduce
Steps to reproduce the behavior:

cmake -DMATX_BUILD_TESTS=ON -DMATX_BUILD_BENCHMARKS=ON -DMATX_BUILD_EXAMPLES=ON -DMATX_BUILD_DOCS=OFF -DCMAKE_CUDA_ARCHITECTURES=52 -DCMAKE_BUILD_TYPE=Debug ..

Expected behavior
Expect to successfully compile all unit tests & examples.

Code snippers
output log attached.

System details (please complete the following information):

• Windows 10 Pro
• CMake 3.22.1
• VS2022 (MSVC 19.30.30706.0)
• CUDA 11.6
• pybind11 2.6.2

[cliffburdick]

@akfite I've made a quick attempt at this and fixed a few things along the way, but it's still showing lots of compiler errors. I'll keep looking at it, but it could take a while.

[cliffburdick]

@akfite, I think the number of errors are so numerous that it's going to take a significant amount of time to get this compiling on VS. MSVC has a lot of problems with SFINAE and some C++17 features, which we rely on heavily. I will leave this open, but until we have the time or more use cases, it's likely going to be lower priority than other features.

If anyone more familiar with the MSVC bugs would like to take a shot at it, we're open to PRs as well.

[akfite]

@cliffburdick All good. If you can figure it out someday that would be awesome, but I think I can at least use your code as reference in the meantime. I wish I could fix it myself but I'm way out of my depth here.

Thank you for looking into it!

[sahuang]

Is WSL supported?

[cliffburdick]

hi @sahuang, I was able to compile and run on wsl 2 with cuda installed.

[yuanskinner]

hi @sahuang, I was able to compile and run on wsl 2 with cuda installed.
hi @cliffburdick ,when i compile on wls2,a lot of error 255 like below:
Environment：
Windows 11
Cmake 3.27.3
CUDA 12.2.1
pybind11 v2.6.2
cmake -DMATX_BUILD_TESTS=ON -DMATX_BUILD_BENCHMARKS=ON -DMATX_BUILD_EXAMPLES=ON -DMATX_BUILD_DOCS=OFF .. -DCMAKE_CUDA_ARCHITECTURES="80;86"
-- Using GPU architectures 80;86
-- Need libcuda++. Finding...
-- CPM: adding package libcudacxx@2.1.0 (2.1.0)
-- Enabling pybind11 support
-- CPM: adding package pybind11@2.6.2 (v2.6.2)
CMake Deprecation Warning at build/_deps/pybind11-src/CMakeLists.txt:8 (cmake_minimum_required):
Compatibility with CMake < 3.5 will be removed from a future version of
CMake.

Update the VERSION argument value or use a ... suffix to tell
CMake that the project does not need compatibility with older versions.

-- pybind11 v2.6.2
CMake Warning (dev) at build/_deps/pybind11-src/tools/FindPythonLibsNew.cmake:98 (find_package):
Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
are removed. Run "cmake --help-policy CMP0148" for policy details. Use
the cmake_policy command to set the policy and suppress this warning.

Call Stack (most recent call first):
build/_deps/pybind11-src/tools/pybind11Tools.cmake:45 (find_package)
build/_deps/pybind11-src/tools/pybind11Common.cmake:201 (include)
build/_deps/pybind11-src/CMakeLists.txt:188 (include)
This warning is for project developers. Use -Wno-dev to suppress it.

-- checking python import module numpy
-- checking python import module cupy
Traceback (most recent call last):
File "", line 1, in
ModuleNotFoundError: No module named 'cupy'
-- The optional python package cupy package is not installed. Some unit tests and functionality may not work
-- CPM: adding package nvbench@1 (1a13a2e)
-- CPM: nvbench: adding package fmt@7.1.3 (7.1.3)
-- Version: 7.1.3
-- Build type: Debug
-- CXX_STANDARD: 17
-- Required features: cxx_variadic_templates
-- CPM: nvbench: adding package nlohmann_json@3.9.1 (3.9.1)
CMake Warning (dev) at /home/ysj/cmake-3.27.3-linux-x86_64/share/cmake-3.27/Modules/FetchContent.cmake:1316 (message):
The DOWNLOAD_EXTRACT_TIMESTAMP option was not given and policy CMP0135 is
not set. The policy's OLD behavior will be used. When using a URL
download, the timestamps of extracted files should preferably be that of
the time of extraction, otherwise code that depends on the extracted
contents might not be rebuilt if the URL changes. The OLD behavior
preserves the timestamps from the archive instead, but this is usually not
what you want. Update your project to the NEW behavior or specify the
DOWNLOAD_EXTRACT_TIMESTAMP option with a value of true to avoid this
robustness issue.
Call Stack (most recent call first):
public/cpm-cmake/cmake/CPM.cmake:698 (FetchContent_Declare)
public/cpm-cmake/cmake/CPM.cmake:587 (cpm_declare_fetch)
public/cpm-cmake/cmake/CPM.cmake:258 (CPMAddPackage)
cmake/rapids-cmake/rapids-cmake/cpm/find.cmake:152 (CPMFindPackage)
build/_deps/nvbench-src/cmake/NVBenchDependencies.cmake:20 (rapids_cpm_find)
build/_deps/nvbench-src/CMakeLists.txt:46 (include)
This warning is for project developers. Use -Wno-dev to suppress it.

-- NVBench CUDA architectures: 80;86
-- CPM: adding package GTest@1.11.0 (release-1.11.0)
CMake Deprecation Warning at build/_deps/gtest-src/CMakeLists.txt:4 (cmake_minimum_required):
Compatibility with CMake < 3.5 will be removed from a future version of
CMake.

Update the VERSION argument value or use a ... suffix to tell
CMake that the project does not need compatibility with older versions.

CMake Deprecation Warning at build/_deps/gtest-src/googlemock/CMakeLists.txt:45 (cmake_minimum_required):
Compatibility with CMake < 3.5 will be removed from a future version of
CMake.

Update the VERSION argument value or use a ... suffix to tell
CMake that the project does not need compatibility with older versions.

CMake Deprecation Warning at build/_deps/gtest-src/googletest/CMakeLists.txt:56 (cmake_minimum_required):
Compatibility with CMake < 3.5 will be removed from a future version of
CMake.

Update the VERSION argument value or use a ... suffix to tell
CMake that the project does not need compatibility with older versions.

-- Configuring done (8.8s)
CMake Warning at build/_deps/nvbench-src/exec/CMakeLists.txt:1 (add_executable):
Cannot generate a safe runtime search path for target nvbench.ctl because
files in some directories may conflict with libraries in implicit
directories:

runtime library [libnvidia-ml.so.1] in /usr/local/cuda-12.2/targets/x86_64-linux/lib/stubs may be hidden by files in:
  /usr/lib/wsl/lib

Some of these libraries may not be found correctly.

CMake Warning at bench/CMakeLists.txt:22 (add_executable):
Cannot generate a safe runtime search path for target matx_bench because
files in some directories may conflict with libraries in implicit
directories:

runtime library [libnvidia-ml.so.1] in /usr/local/cuda-12.2/targets/x86_64-linux/lib/stubs may be hidden by files in:
  /usr/lib/wsl/lib

Some of these libraries may not be found correctly.

-- Generating done (0.3s)
-- Build files have been written to: /home/ysj/MatX-master/MatX/build
ysj@wz-20230626HPPT:~/MatX-master/MatX/build$ make -j
[ 1%] Generate git revision file for nvbench_git_revision
[ 5%] Built target gtest
[ 5%] Built target fmt
[ 5%] Built target nvbench_git_revision_compute_git_info
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[ 9%] Built target gmock
[ 10%] Building CXX object _deps/gtest-build/googlemock/CMakeFiles/gmock_main.dir/src/gmock_main.cc.o
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make[2]: *** [test/CMakeFiles/matx_test.dir/build.make:512: test/CMakeFiles/matx_test.dir/01_radar/MVDRBeamformer.cu.o] Error 255
make[2]: *** [test/CMakeFiles/matx_test.dir/build.make:287: test/CMakeFiles/matx_test.dir/00_transform/Cov.cu.o] Error 255
make[2]: *** [test/CMakeFiles/matx_test.dir/build.make:107: test/CMakeFiles/matx_test.dir/00_tensor/CUBTests.cu.o] Error 255
make[1]: *** [CMakeFiles/Makefile2:1063: test/CMakeFiles/matx_test.dir/all] Error 2
make: *** [Makefile:136: all] Error 2

[cliffburdick]

Hi @yuanskinner, that doesn't look like an error, but rather your make parallelism is too high. Try make -j4 so the OOM killer doesn't stop it.

[yuanskinner]

Hi @yuanskinner, that doesn't look like an error, but rather your make parallelism is too high. Try make -j4 so the OOM killer doesn't stop it.

it's build success! thanks so much!
but I get an error when I run examples/resample.cu
GPU Name: NVIDIA GeForce RTX 3080
GPU Global Memory: 9.999512 GB

CUDA Error: invalid device ordinal
matxException (matxCudaError: invalid device ordinal) - /home/MatX-master/MatX/examples/resample.cu:68
(sigViewComplex = fft(sigView)).run(stream);
Stack Trace:
./resample : ()+0xdd93
./resample : ()+0x81d8
/lib/x86_64-linux-gnu/libc.so.6 : __libc_start_main()+0xf3
./resample : ()+0x5f2e

[cliffburdick]

Hi @yuanskinner, do you have multiple GPUs in the system?

[yuanskinner]

Hi @yuanskinner, do you have multiple GPUs in the system?

no, only one rtx 3080
i have tried using cudaGetDeviceCount and return 1
then i tried cudaSetDevice(0) returning cudaSuccess

i also tried other examples,the detail log pls check attachment
only below samples is passed:
black_scholes
cgsolve
conv2d
qr
resample_poly_bench
spherical_harmonics
svd_power
detail log.md

[cliffburdick]

@yuanskinner how much system memory do you have?

[yuanskinner]

@yuanskinner how much system memory do you have?

system memory 32.0 GB

[cliffburdick]

I think the problem is by default we use managed memory. Managed memory does not work well under WSL2 yet:

Unified Memory - Full Managed Memory Support is not available on Windows native and therefore WSL 2 will not support it for the foreseeable future

So you're likely hitting a WSL2+CUDA bug. This is not necessarily a problem; If you would like this to work in WSL2 with your own application, you can just avoid using managed memory and declare all your tensors with host or device memory. The examples will not work as-is, however. Would that work for you?

[cliffburdick]

I just tried the examples on a Geforce 3070, and they all work on Linux, so it appears this is related to the WSL2 issue above.