Thanks for your work.
I tested the wheels however I got CUDA error with tlcpack_cu102-0.7.dev1-cp36-cp36m-manylinux2014_x86_64.whl:
tvm._ffi.base.TVMError: Traceback (most recent call last):
[bt] (3) /usr/local/lib/python3.6/dist-packages/tvm/libtvm.so(TVMFuncCall+0x48) [0x7fe7e6f0dc48]
[bt] (2) /usr/local/lib/python3.6/dist-packages/tvm/libtvm.so(std::_Function_handler<void (tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*), tvm::runtime::detail::PackFuncVoidAddr_<4, tvm::runtime::CUDAWrappedFunc>(tvm::runtime::CUDAWrappedFunc, std::vector<tvm::runtime::detail::ArgConvertCode, std::allocator<tvm::runtime::detail::ArgConvertCode> > const&)::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)#1}>::_M_invoke(std::_Any_data const&, tvm::runtime::TVMArgs&&, tvm::runtime::TVMRetValue*&&)+0x9e) [0x7fe7e6fae74e]
[bt] (1) /usr/local/lib/python3.6/dist-packages/tvm/libtvm.so(tvm::runtime::CUDAWrappedFunc::operator()(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*, void**) const+0x755) [0x7fe7e6fae645]
[bt] (0) /usr/local/lib/python3.6/dist-packages/tvm/libtvm.so(+0x15f4505) [0x7fe7e6faa505]
File "/workspace/tvm/src/runtime/cuda/cuda_module.cc", line 105
File "/workspace/tvm/src/runtime/library_module.cc", line 78
CUDAError: Check failed: ret == 0 (-1 vs. 0) : cuModuleLoadData(&(module_[device_id]), data_.c_str()) failed with error: CUDA_ERROR_NOT_INITIALIZED
I tested this with image:
docker pull nvidia/cuda:10.2-cudnn8-devel-ubuntu18.04
while if build tvm from source, it works without any issue…
Anyone know what could be the cause of this?
Update: I got the same error using the Dockerfile.package-cu102 provided.
The error can be produced using https://tvm.apache.org/docs/tutorials/get_started/relay_quick_start.html#sphx-glr-tutorials-get-started-relay-quick-start-py