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support torch.distributed rank/device #1

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Merged
codedecde merged 1 commit into from
Oct 19, 2021
Merged

support torch.distributed rank/device #1

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10 changes: 5 additions & 5 deletions Intro101/train_bert.py
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Original file line number Diff line number Diff line change
Expand Up @@ -576,7 +576,7 @@ def train(
num_iterations: int = 10000,
checkpoint_every: int = 1000,
log_every: int = 10,
device: int = -1,
local_rank: int = -1,
) -> pathlib.Path:
"""Trains a [Bert style](https://arxiv.org/pdf/1810.04805.pdf)
(transformer encoder only) model for MLM Task
Expand Down Expand Up @@ -625,16 +625,16 @@ def train(
Defaults to 1000.
log_every (int, optional):
Print logs after these many steps. Defaults to 10.
device (int, optional):
local_rank (int, optional):
Which GPU to run on (-1 for CPU). Defaults to -1.

Returns:
pathlib.Path: The final experiment directory

"""
device = (
torch.device("cuda", device)
if (device > -1) and torch.cuda.is_available()
torch.device("cuda", local_rank)
if (local_rank > -1) and torch.cuda.is_available()
else torch.device("cpu")
)
################################
Expand Down Expand Up @@ -787,4 +787,4 @@ def train(


if __name__ == "__main__":
fire.Fire({"train": train, "data": create_data_iterator, "model": create_model})
fire.Fire(train)