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qqlu / Entity

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
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RuntimeError：Multi GPU Training #3

Closed loliq closed 3 years ago

loliq commented 3 years ago

Thanks for your work. I met a problem when training coco panoptic model by using multi GPUs.

My command is python3 projects/EntitySeg/train_net.py --config-file projects/EntitySeg/configs/entity_swin_t_1x.yaml --num-gpus 4 OUTPUT_DIR entity_model . Below is my error:

RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates that your module has parameters that were not used in producing loss. You can enable unused parameter detection by (1) passing the keyword argument `find_unused_parameters=True` to `torch.nn.parallel.DistributedDataParallel`; (2) making sure all `forward` function outputs participate in calculating loss. If you already have done the above two steps, then the distributed data parallel module wasn't able to locate the output tensors in the return value of your module's `forward` function. Please include the loss function and the structure of the return value of `forward` of your module when reporting this issue (e.g. list, dict, iterable).

Any help is greatly appreciated. Thank you!

qqlu commented 3 years ago

As illustrated in our installation, Please set the "find_unused_parameters=True" in distributed training of your own detectron2. You could modify it in detectron2/engine/defaults.py.

loliq commented 3 years ago

As illustrated in our installation, Please set the "find_unused_parameters=True" in distributed training of your own detectron2. You could modify it in detectron2/engine/defaults.py.

Thanks for your relying, it worked!!!