Alright, I'm a little limited in what I can ship at the moment due to maximum file sizes in PyPi. I just pushed a version with static protobuf and JIT compilable GPU operators for Pascal cards. This may introduce a small delay when you first load the library as CUDA kernels are JIT'd. This should get you passed the errors you're currently seeing though, so give it an update.
A regular pip upgrade should work, but if not try: ```pip install --upgrade --force-reinstall mxnet-tensorrt-cu90``` I'm working with the PyPi maintainers to up our limits there, and then I'll be able to make the package more portable. https://github.com/pypa/warehouse/issues/4686 [ Full content available at: https://github.com/apache/incubator-mxnet/issues/12142 ] This message was relayed via gitbox.apache.org for [email protected]
