facebookresearch / maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
MIT License
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Can this project work with CUDA 11 and Pytorch 1.9.0? #1322

Open ghfdjsk opened 3 years ago

ghfdjsk commented 3 years ago

❓ Questions and Help

Currently my machine has Cuda 11 and Pytorch 1.9.0. Due to the dependencies of other projects I am working on I can not change the version of these. However, I want to run this project. Is this project compatible with my system's version of Cuda and Pytorch? If so, then what changes should I make to run it? If not, how do I resolve this issue?

Dawn-LX commented 3 years ago

+1

Pytorch CUDA error: no kernel image is available for execution on the device

qijithu commented 2 years ago

same question

csguanhu commented 2 years ago

mine env: cuda11.6+pytorch1.10.2,it works quite well... find those question and fix them

litingfeng commented 2 years ago

@csguanhu Could you please share your gcc version as well? I've encountered this error error: command '/usr/bin/g++' failed with exit code 1 when using pytorch-nightly 1.12, cuda 11.3, gcc 9.

Thanks in advance.

Greatuso commented 2 years ago

mine env: cuda11.6+pytorch1.10.2,it works quite well... find those question and fix them

Could you tell me how to use 'apex'?When I install apex,it always told me RUNtimerror,and I use Windows. Thank you.