🚀 Feature request

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.

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🚀 Feature

Detect UninitializedParameter and run one batch/sample before fitting.

Motivation

Pytorch now accepts 'lazy' layers with UninitializedParameter.

However, this seems to cause a memory error in PL at when we start the trainer because it attempt to estimate the memory usage:

RuntimeError: Can't access the shape of an uninitialized parameter. This error usually happen

Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.

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?

I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.