model's parameters going to be empty

❓ Questions and Help

Hello all

When I do execution the code below in my ubuntu terminal, I get the error RuntimeError: stack expects a non-empty TensorList. I am trying to train the model using MS-COCO 2017 datasets (train2017, val2017, test2017). python tools/train_net.py --config-file "configs/rotated/e2e_ms_rcnn_R_50_FPN_1x.yaml" SOLVER.IMS_PER_BATCH 2 SOLVER.BASE_LR 0.0025 SOLVER.MAX_ITER 720000 SOLVER.STEPS "(480000, 640000)" TEST.IMS_PER_BATCH 1

This is my dependencies for this rotated_maskrcnn.

Could you give me any tips?

Best regards

Thanks.

[mrlooi]

From the traceback it would seem like your model.parameters() is empty. Either that or clip_grad_norm has changed API. This repo has been tested on 1.0, 1.1. Not tested on torch 1.5

[mrlooi]

Hey no problem, I wouldn’t use the docker file, it’s not updated. If I were you, I’d have a look into the model.parameters() output, and see if it’s empty. If it’s empty, it means perhaps your model didn’t load properly somewhere. If not, it’s probably still the API change and perhaps your torch version is still not correct? Double check that your interpreter is using the right torch version.
At the end, if all else fails, try running on python2.7 or python3.5/3.6. Sorry I can’t be of much more help here