Comments (6)
dgriff777
commented on May 18, 2024
How are you setting it?
A good example of doing so is command line sample on readme
python main.py --env PongDeterministic-v4 --workers 32 --gpu-ids 0 1 2 3 --amsgrad True
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yhcao6
commented on May 18, 2024
Still have problem, don't know why, torch version is Version: 0.4.0a0.post2
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yhcao6
commented on May 18, 2024
If I set all gpu_id to be same for train and test process, then it is okay
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dgriff777
commented on May 18, 2024
Is your repo current to repo on GitHub? What are you running this on?
I have never tried running on version 0.4.0a0.post2 yet. May be a bug in pytorch
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yhcao6
commented on May 18, 2024
Yeah, I just git clone this repo. I think also, maybe it is a bug of pytorch
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dgriff777
commented on May 18, 2024
yeah try with a more stable version like 0.3 and see if problem still persists
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Related Issues (20)
- Why ensure_shared_grads HOT 1
- NotImplementedError HOT 1
- Pretrained models HOT 6
- Quick question on batch processing HOT 4
- eps for Adam HOT 2
- plot rewards as a function of number of timesteps HOT 1
- Stuck when training in MsPacman-v0 HOT 7
- Reward Smoothing HOT 2
- Need for trained models HOT 2
- Cannot import test HOT 1
- Question about Test function HOT 1
- Is there any necessary to lock when update params? HOT 1
- How can I let the training automatically stop after a given number of episodes or after a given period of time? HOT 1
- Clarification needed regarding num_workers HOT 2
- question about trained models HOT 1
- UserWarning: This overload of add_ is deprecated
- Need a model, thank you HOT 1
- The links to the Gym environment evaluations is 404.
- run a3c on 8 cpus, it still slow. HOT 1
- Hyperparameters for training
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