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[AIR] Automatically move DatasetIterator torch tensors to correct device #31753

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merged 9 commits into from
Feb 10, 2023

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amogkam
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@amogkam amogkam commented Jan 18, 2023

When DatasetIterator is used with Ray Train, automatically move the torch tensors returned by iter_torch_batches to the correct device.

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Signed-off-by: amogkam <amogkamsetty@yahoo.com>
Signed-off-by: amogkam <amogkamsetty@yahoo.com>
Signed-off-by: amogkam <amogkamsetty@yahoo.com>
@amogkam amogkam changed the title Auto torch gpu [AIR] Automatically move DatasetIterator torch tensors to correct device Jan 18, 2023
Signed-off-by: amogkam <amogkamsetty@yahoo.com>
Signed-off-by: amogkam <amogkamsetty@yahoo.com>
Signed-off-by: amogkam <amogkamsetty@yahoo.com>
Signed-off-by: amogkam <amogkamsetty@yahoo.com>
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@Yard1 Yard1 left a comment

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Looks good to me, thanks.

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@bveeramani bveeramani left a comment

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LGTM

try:
device = get_device()
except SessionMisuseError:
pass
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So this error is raised when a Train session is never initialized, right? Are we ignoring the error here in case this iterator is used outside of a Ray Train context, making this ~a no-op?

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yep thats right!

@amogkam amogkam merged commit 4420120 into ray-project:master Feb 10, 2023
@amogkam amogkam deleted the auto-torch-gpu branch February 10, 2023 00:28
edoakes pushed a commit to edoakes/ray that referenced this pull request Mar 22, 2023
…evice (ray-project#31753)

When DatasetIterator is used with Ray Train, automatically move the torch tensors returned by iter_torch_batches to the correct device.

Signed-off-by: amogkam <amogkamsetty@yahoo.com>
Signed-off-by: Edward Oakes <ed.nmi.oakes@gmail.com>
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5 participants