Error when trying to reproduce result from pretrained model -- MKL_THREADING_LAYER

[saniazahan]

Hi

I am trying to reproduce result from pretrained model using

python3 main.py --config ./config/nturgbd-cross-subject/test_joint.yaml --work-dir pretrain_eval/ntu60/xsub/joint-fusion --weights pretrained_models/ntu60-xsub-joint-fusion.pt

python3 ensemble.py --dataset ntu/xsub --joint-dir pretrain_eval/ntu60/xsub/joint --bone-dir pretrain_eval/ntu60/xsub/bone

I have generated both bone and joint data as instructed but when I am trying to run these I am getting the following error

Error: mkl-service + Intel(R) MKL: MKL_THREADING_LAYER=INTEL is incompatible with libgomp.so.1 library.
Try to import numpy first or set the threading layer accordingly. Set MKL_SERVICE_FORCE_INTEL to force it.

Could you please help.

[saniazahan]

Solve it. Needed tp modify the code as such to add GNU

MKL_THREADING_LAYER=GNU python3 main.py --config ./config/nturgbd-cross-subject/test_bone.yaml --work-dir pretrain_eval/ntu60/xsub/bone --weights pretrained_models/ntu60-xsub-bone.pt