add TensorBoard logging with loss and wps #57
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[ghstack-poisoned]
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wanchaol
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Feb 14, 2024
train.py
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| time_delta = timer() - time_last_log | ||
| wps = nwords_since_last_log / ( | ||
| time_delta * parallel_dims.sp * parallel_dims.pp |
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a neater way is to define a model_parallel_size in the parallel_dims class that return this number directly (i.e. a cached property)
wanchaol
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Feb 14, 2024
Each rank build its own TensorBoard writer. The global loss is communicated among all ranks before logging. To visualize using SSH tunneling: `ssh -L 6006:127.0.0.1:6006 your_user_namemy_server_ip` in torchtrain repo `tensorboard --logdir=./torchtrain/outputs/tb` then on web browser go to http://localhost:6006/ <img width="722" alt="Screenshot 2024-02-12 at 6 39 28 PM" src="https://github.com/pytorch-labs/torchtrain/assets/150487191/6304103c-fa89-4f1c-a8a2-57c887b07cd3"> [ghstack-poisoned]
philippguevorguian
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Aug 17, 2024
ghstack-source-id: d0828f1 Pull Request resolved: pytorch#57
payoto
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Feb 7, 2025
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Stack from ghstack (oldest at bottom):
Each rank build its own TensorBoard writer. The global loss is communicated among all ranks before logging.
To visualize using SSH tunneling:
ssh -L 6006:127.0.0.1:6006 your_user_name@my_server_ipin torchtrain repo
tensorboard --logdir=./torchtrain/outputs/tbthen on web browser go to http://localhost:6006/