pytorch
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🐛 Bug
If the checkpoint file is not found at the location provided in resume_from_checkpoint argument in pl.Trainer, the training starts from scratch after displaying a UserWarning that is easy to miss.
To Reproduce
Use the following BoringModel.
Expected behavior
Should rai
Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.
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New Operator
Describe the operator
Why is this operator necessary? What does it accomplish?
This is a frequently used operator in tensorflow/keras
Can this operator be constructed using existing onnx operators?
If so, why not add it as a function?
I don't know.
Is this operator used by any model currently? Which one?
Are you willing to contribute it?
We could utilize https://github.com/googleapis/python-storage to make this robust.
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I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.
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Hello I was thinking it would be of great help if I can get the time offsets of start and end of each word .
Motivation
I was going through Google Speech to text documentation and found this feature and thought will be really amazing if i can have something similar here.