Building from source OSX: import torchvision crash (with ffmpeg version 4.4) #3963
Description
❓ Questions and Help
Hi,
I'm trying to build torchvision from source on OSX and have followed the contributing guidelines. I run the following
git clone https://github.com/pytorch/vision.git
cd vision
# Initialize and activate the environment
conda create -n vision python=3.8 -y
conda activate vision
pip install flake8 typing mypy pytest scipy numpy
# Install pytorch nightly
conda install pytorch -c pytorch-nightly -c conda-forge
MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py developWhile building I can see the following clang error.
clang: error: unknown argument: '-print-multiarch'
clang: error: no input files
The setup completes, but on importing the module in python, I run into the issue below.
>>> import torchvision
libc++abi: terminating with uncaught exception of type c10::Error: Type c10::tagged_capsule<vision::video::Video> could not be converted to any of the known types.
Exception raised from operator() at /Users/gollum/anaconda3/envs/vision/lib/python3.8/site-packages/torch/include/ATen/core/jit_type.h:1592 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >) + 98 (0x112b1c402 in libc10.dylib)
frame #1: c10::detail::torchCheckFail(char const*, char const*, unsigned int, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > const&) + 106 (0x112b1ab7a in libc10.dylib)
frame #2: c10::detail::getTypePtr_<c10::tagged_capsule<vision::video::Video> >::call()::'lambda'()::operator()() const + 298 (0x13021bb3a in video_reader.so)
frame #3: c10::detail::getTypePtr_<c10::tagged_capsule<vision::video::Video> >::call() + 41 (0x13021b989 in video_reader.so)
frame #4: c10::detail::infer_schema::(anonymous namespace)::createArgumentVector(c10::ArrayRef<c10::detail::infer_schema::ArgumentDef>) + 216 (0x1178446b8 in libtorch_cpu.dylib)
frame #5: c10::detail::infer_schema::make_function_schema(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >&&, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >&&, c10::ArrayRef<c10::detail::infer_schema::ArgumentDef>, c10::ArrayRef<c10::detail::infer_schema::ArgumentDef>) + 123 (0x11784445b in libtorch_cpu.dylib)
frame #6: torch::jit::Function* torch::class_<vision::video::Video>::defineMethod<torch::class_<vision::video::Video>& torch::class_<vision::video::Video>::def<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > >(torch::detail::types<void, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::initializer_list<torch::arg>)::'lambda'(c10::tagged_capsule<vision::video::Video>, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >)>(std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::initializer_list<torch::arg>) + 505 (0x130215a89 in video_reader.so)
frame #7: torch::class_<vision::video::Video>& torch::class_<vision::video::Video>::def<std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > >(torch::detail::types<void, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> > >, std::__1::basic_string<char, std::__1::char_traits<char>, std::__1::allocator<char> >, std::initializer_list<torch::arg>) + 113 (0x1301f0fe1 in video_reader.so)
frame #8: _GLOBAL__sub_I_video.cpp + 173 (0x13021be6d in video_reader.so)
frame #9: 0x0 + 4617463815 (0x11338e807 in ???)
frame #10: 0x0 + 4617464850 (0x11338ec12 in ???)
frame #11: 0x0 + 4617443238 (0x1133897a6 in ???)
frame #12: 0x0 + 4617434463 (0x11338755f in ???)
frame #13: 0x0 + 4617434624 (0x113387600 in ???)
frame #14: 0x0 + 4617370136 (0x113377a18 in ???)
frame #15: 0x0 + 4617416162 (0x113382de2 in ???)
frame #16: dlopen_internal(char const*, int, void*) + 185 (0x7fff20441c94 in libdyld.dylib)
frame #17: dlopen + 28 (0x7fff2043007e in libdyld.dylib)
frame #18: py_dl_open + 135 (0x10b4a6d47 in _ctypes.cpython-38-darwin.so)
<omitting python frames>
Complete build log available here: log.txt
Output for clang --version:
Apple clang version 12.0.5 (clang-1205.0.22.9)
Target: x86_64-apple-darwin20.4.0
Thread model: posix
InstalledDir: /Library/Developer/CommandLineTools/usr/bin
I don't have a lot of experience with clang and was not able to find a solution for the same. I apologize before since this may be a clang specific issue and not really related to torchvision. Any help troubleshooting this will be extremely helpful. Thanks in advance!
Ps. I was able to build it just fine on another machine following the same steps, it seems like a clang problem on my machine.