Added cpu support for llama generate.py/eval.py #1307
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jainapurva
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1307
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ✅ No FailuresAs of commit 569f0b5 with merge base 6234116 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Nov 19, 2024
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@jainapurva looks good, I think we can merge now? |
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Setting numpy version to be the range required by gguf: https://github.com/ggerganov/llama.cpp/blob/master/gguf-py/pyproject.toml
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* add pp_dim, distributed, num_gpus, num_nodes as cmd line args * add tp_dim * add elastic_launch * working, can now launch from cli * Remove numpy < 2.0 pin to align with pytorch (pytorch#1301) Fix pytorch#1296 Align with https://github.com/pytorch/pytorch/blame/main/requirements.txt#L5 * Update torchtune pin to 0.4.0-dev20241010 (pytorch#1300) Co-authored-by: vmpuri <[email protected]> * Unbreak gguf util CI job by fixing numpy version (pytorch#1307) Setting numpy version to be the range required by gguf: https://github.com/ggerganov/llama.cpp/blob/master/gguf-py/pyproject.toml * Remove apparently-unused import torchvision in model.py (pytorch#1305) Co-authored-by: vmpuri <[email protected]> * remove global var for tokenizer type + patch tokenizer to allow list of sequences * make pp tp visible in interface * Add llama 3.1 to dist_run.py * [WIP] Move dist inf into its own generator * Add initial generator interface to dist inference * Added generate method and placeholder scheduler * use prompt parameter for dist generation * Enforce tp>=2 * Build tokenizer from TokenizerArgs * Disable torchchat format + constrain possible models for distributed * disable calling dist_run.py directly for now * Restore original dist_run.py for now * disable _maybe_parallelize_model again * Reenable arg.model_name in dist_run.py * Use singleton logger instead of print in generate * Address PR comments; try/expect in launch_dist_inference; added comments --------- Co-authored-by: lessw2020 <[email protected]> Co-authored-by: Mengwei Liu <[email protected]> Co-authored-by: vmpuri <[email protected]> Co-authored-by: vmpuri <[email protected]> Co-authored-by: Scott Wolchok <[email protected]>
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Updated the cuda dependencies for memory profiling, to make script compatible with cpu.
Test plan: Ran script locally on Mac laptop
Benchmarks:
python torchao/_models/llama/generate.py --checkpoint_path checkpoints/meta-llama/Llama-3.2-3B/model.pth -q int8wo