pytorch
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We keep this issue open to collect feature requests from users and hear your voice. Our monthly release plan is also available here.
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🐛 Bug
This docs snippet does not work:
https://pytorch-lightning.readthedocs.io/en/latest/common/lightning_module.html#datamodule
To Reproduce
def test_bug(tmpdir):
class TestModel(BoringModel):
def configure_optimizers(self):
# works
len(self.trainer.datamodule.train_dataloader())
# does not
len(self.d
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.