deepspeedai / deepspeedai/DeepSpeedExamples
bing_bert: CUDA error: out of memory
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- Python
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Description
I always have the error: "RuntimeError: CUDA error: out of memory". Can you give suggestion? Thanks
- 1 node， 4 v100 cards
- Deepspeed master branch + DeepSpeedExamples master branch
- Follow bing_bert README.md，nvidia training data “hdf5_lower_case_1_seq_len_128_max_pred_20_masked_lm_prob_0.15_random_seed_12345_dupe_factor_5/wikicorpus_en”
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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.
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Research direction
Begin with the bing_bert README.md instructions and the stated training-data path; reproduce the CUDA out-of-memory error using the listed four V100 setup and inspect the relevant DeepSpeed and DeepSpeedExamples configuration. Done means identifying a documented, reproducible cause or a concrete configuration change that avoids the error, but the issue names no test or source file.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100