Comments (5)
Hmm. The batch size is 1 by default in eval.py. You could try lowering seq_length
. Looks like you only have 4 GB of GPU memory. I used a GPU with 12 GB memory.
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Is there any way to know how big a model or a network my system can handle
without running into this issue?
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Your GPU ran out of memory. Try lowering the batch size.
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yes!. I reduced the batch size to 1 and now it works with train.py.. but the problem now is in running eval.py (is showing the same error) :
"RuntimeError: CUDA out of memory. Tried to allocate 58.00 MiB (GPU 0; 4.00 GiB total capacity; 2.49 GiB already allocated; 44.45 MiB free; 2.57 GiB reserved in total by PyTorch)""..
have you any idea ??
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@wmcnally it works..thank you
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Related Issues (19)
- When will the videos be available? HOT 2
- Hey i am not able to get the coordinates of golf face even from test_video.py. Can you please tell me how do i get coordinates and not just frames where golf face is detected? HOT 3
- What is the sequence length here? HOT 4
- eval.py dataloader axes mismatch error HOT 1
- Issues with loading the pickle-file
- Asking about code lines
- May I request the unprocessed video clips? HOT 2
- How to train it on our own custom data? HOT 2
- Dataset urls HOT 1
- Do you intend to open your code? HOT 15
- eval.py doesn't seem to be iterating
- how to test another videos? HOT 2
- copyright issue HOT 1
- Modifying eval.py HOT 3
- URLs for the original videos could not be found.
- Original full resolution videos HOT 3
- Pytorch 1.3 version does not exist on the official website HOT 2
- ZeroDivisionError: float division by zero HOT 8
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