[Example] PyTorch distributed training with minGPT #4464
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| The following command spawn 2 nodes with 2 L4 GPU each. | ||
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| `sky launch -c train.yaml` |
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Missing cluster name? Also might be nice to put in a code block
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| `sky launch -c train.yaml` | |
| \``` | |
| sky launch -c train train.yaml | |
| \``` |
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| For example, the following command will spawn 4 nodes with 4 L4 GPUs each. | ||
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| `sky launch -c train.yaml --num-nodes 2 --gpus L4:2 --cpus 8+` |
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change to num nodes 4 and L4:4
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| `sky launch -c train.yaml --num-nodes 2 --gpus L4:2 --cpus 8+` | |
| \``` | |
| sky launch -c train.yaml --num-nodes 4 --gpus L4:4 --cpus 8+ | |
| \``` |
Co-authored-by: Romil Bhardwaj <[email protected]>
Co-authored-by: Romil Bhardwaj <[email protected]>
Co-authored-by: Romil Bhardwaj <[email protected]>
Co-authored-by: Romil Bhardwaj <[email protected]>
Co-authored-by: Romil Bhardwaj <[email protected]>
Co-authored-by: Romil Bhardwaj <[email protected]>
Co-authored-by: Romil Bhardwaj <[email protected]>
…ot into distributed-training
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Thanks @romilbhardwaj for the review! Updated README |
romilbhardwaj
approved these changes
Dec 13, 2024
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This PR adds a more modern distributed training example.
TODOs:
Tested (run the relevant ones):
bash format.shpytest tests/test_smoke.pypytest tests/test_smoke.py::test_fill_in_the_nameconda deactivate; bash -i tests/backward_compatibility_tests.sh