zhanghang1989 / zhanghang1989/PyTorch-Encoding
Training time seems to be too long.
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- Dominant language
- Python
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Description
Hi! I am using your code to train an enc-net based on resnet101 on ADE dataset, on 4x1080ti, the batch size is set to 8 with synchronous BN turned on. And I notice that it takes around 2 hours for an epoch, which means that it will cost about 10 days to train this model for 120 epochs(the suggested epoch nums for ADE in your paper). I wonder whether the training time ought to be that long? If not, what's a reasonable time to train this model?
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Research direction
Start by reviewing the training configuration described for the enc-net with resnet101 on ADE, including batch size 8 and synchronous BN on 4x1080ti GPUs. Done means determining whether the reported two-hour epoch and ten-day 120-epoch estimate are expected, and documenting a reasonable training-time expectation.
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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
- Needs clarification
- Newbie friendliness
- 25/100