Description
Hello here,
I'm currently having issues with training and evaluating code. I follow the installation guide and set the env, but when I was trying evaluating the data, I got error:
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 36672) of binary: /home/me/miniconda3/envs/uniad/bin/python
I don't know what's happening, but I suspect it might be incompatibility issues, as when I install the environment for UniAD I saw this error:
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
d2l 0.17.6 requires numpy==1.21.5, but you have numpy 1.24.4 which is incompatible.
onnx 1.12.0 requires protobuf<=3.20.1,>=3.12.2, but you have protobuf 4.23.4 which is incompatible.
mmdet3d 0.17.1 requires numpy<1.20.0, but you have numpy 1.24.4 which is incompatible.
Just wondering how to fix these errors?
Thanks so much!!