localminimum / localminimum/QANet
How to train in Multi GPU
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- Dominant language
- Python
- Stars
- 985
- Forks
- 297
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Description
I see that tensorflow detected 2 GPU's but the training is only happening in 1 GPU. Please advise?
Contributor guide
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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
No file or test is named in the issue. Start by locating the training entry point and checking how TensorFlow devices are configured; verify the reported two-GPU setup against the training behavior. Done means identifying why only one GPU trains and confirming that a validation run uses both GPUs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100