Add 4GPU unit test #82
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lessw2020
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Apr 18, 2024
For now this literally just runs `NGPU=4 ./run_llama_train.sh` but I verified at least it catches problems. As a follow up, we should integrate mgpu test infra from pytorch and set up actual unit tests to run in this job. We should probably also keep testing the run_llama_train.sh script, and add other combinations of 2D parallelism to ensure they all keep working. <img width="2120" alt="image" src="https://github.com/pytorch/torchtrain/assets/4984825/2c235e9a-04ed-4f2d-9915-67de39d78e1c">
philippguevorguian
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Aug 17, 2024
For now this literally just runs `NGPU=4 ./run_llama_train.sh` but I verified at least it catches problems. As a follow up, we should integrate mgpu test infra from pytorch and set up actual unit tests to run in this job. We should probably also keep testing the run_llama_train.sh script, and add other combinations of 2D parallelism to ensure they all keep working. <img width="2120" alt="image" src="https://github.com/pytorch/torchtrain/assets/4984825/2c235e9a-04ed-4f2d-9915-67de39d78e1c">
payoto
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Feb 7, 2025
…ort metrics. (pytorch#82) * Implement `metrics.distributed_mode`, controlling which processes report metrics. On a large cluster, it is most of the time sufficient to just have every node logging metrics instead of every GPU. * Improvements following Alex. review.
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For now this literally just runs
NGPU=4 ./run_llama_train.shbut I verified at least it catches problems.As a follow up, we should integrate mgpu test infra from pytorch and set up actual unit tests to run in this job.
We should probably also keep testing the run_llama_train.sh script, and add other combinations of 2D parallelism to ensure they all keep working.