Segmentation reference train script
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- Dominant language
- Python
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Description
I am training deeplabv3 model from torchvision for 91 classes of coco. I am using training script from references. I use following command to train the model.
python -m torch.distributed.launch --nproc_per_node=4 --use_env train.py --dataset coco --model deeplabv3_resnet101 --output-dir output/ -b 2 -j 4
However the training gets stuck at with no error or anything
Epoch: [6] [ 8160/14525] eta: 2:14:49 lr: 0.008007956757936691 loss: 0.3471 (0.5539) time: 1.2725 data: 0.0021 max mem: 4783
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the supplied command with the referenced train.py and record the environment, worker behavior, and whether all processes stop at the reported iteration. Inspect the distributed training and data-loading paths around epoch 6; done means identifying a reproducible cause or showing that training progresses without hanging.
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Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100