Here is a compilation if common issues that you might face while compiling / running this code:
If you encounter build errors like the following:
/usr/include/c++/6/type_traits:1558:8: note: provided for ‘template<class _From, class _To> struct std::is_convertible’
struct is_convertible
^~~~~~~~~~~~~~
/usr/include/c++/6/tuple:502:1: error: body of constexpr function ‘static constexpr bool std::_TC<<anonymous>, _Elements>::_NonNestedTuple() [with _SrcTuple = std::tuple<at::Tensor, at::Tensor, at::Tensor, at::Tensor>&&; bool <anonymous> = true; _Elements = {at::Tensor, at::Tensor, at::Tensor, at::Tensor}]’ not a return-statement
}
^
error: command '/usr/local/cuda/bin/nvcc' failed with exit status 1
check your CUDA version and your gcc
version.
nvcc --version
gcc --version
If you are using CUDA 9.0 and gcc 6.4.0, then refer to facebookresearch#25, which has a summary of the solution. Basically, CUDA 9.0 is not compatible with gcc 6.4.0.
This means that maskrcnn-benchmark
has not been properly installed.
Refer to facebookresearch#22 for a few possible issues.
Note that we now support Python 2 as well.
This probably means that you have compiled the library using GCC < 4.9, which is ABI incompatible with PyTorch. Indeed, during installation, you probably saw a message like
Your compiler (g++ 4.8) may be ABI-incompatible with PyTorch!
Please use a compiler that is ABI-compatible with GCC 4.9 and above.
See https://gcc.gnu.org/onlinedocs/libstdc++/manual/abi.html.
See https://gist.github.com/goldsborough/d466f43e8ffc948ff92de7486c5216d6
for instructions on how to install GCC 4.9 or higher.
Follow the instructions on https://gist.github.com/goldsborough/d466f43e8ffc948ff92de7486c5216d6
to install GCC 4.9 or higher, and try recompiling maskrcnn-benchmark
again, after cleaning the
build
folder with
rm -rf build