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change torch.cuda.amp.GradScaler to torch.GradScaler("cuda") #3257
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3257
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 1 PendingAs of commit 50173b2 with merge base 15ef015 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Please see comments inline. Thanks!
recipes_source/recipes/amp_recipe.py
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@@ -182,7 +182,7 @@ def make_model(in_size, out_size, num_layers): | |||
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net = make_model(in_size, out_size, num_layers) | |||
opt = torch.optim.SGD(net.parameters(), lr=0.001) | |||
scaler = torch.cuda.amp.GradScaler(enabled=use_amp) | |||
scaler = torch.GradScaler("cuda" ,enabled=use_amp) |
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Same as above.
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Thanks for the quick reply. GradScaler
can be used on its own but because you are modifying amp
recipe, I would suggest to use torch.amp.GradScaler
as it's also mentioned in the code - https://github.com/pytorch/pytorch/blob/main/torch/cuda/amp/grad_scaler.py#L12
Also, if you run the recipe, you will notice the warning message suggesting to use torch.amp.GradScaler
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I have changed the code accordingly.
Thank you
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Thanks!
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Looks good for me, thank you for the update
Description
using
torch.cuda.amp.GradScaler
will result in a warningSo it should be changed according to Automatic Mixed Precision package Documentation
torch.cuda.amp.GradScaler
totorch.GradScaler("cuda")
to matchChecklist