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This reverts commit 8d2eeb11.

* Update spectrogram to use complex
* Update autograd test
* Update TS test
* Update librosa test

1. `F.phase_vocoder` accepts Tensor with complex dtype.
    * The implementation path has been updated from #758 so that they share the same code path by internally converting the input Tensor to complex dtype and performing all the operation on top of it.
    * Adopted `torch.polar` for simpler Tensor generation from magnitude and angle.
2. Updated tests
    * librosa compatibility test for complex dtype and pseudo complex dtype
        * Extracted the output shape check test and moved it to functional so that it will be tested on all the combination of `{CPU | CUDA} x {complex64 | complex128}`
    * TorchScript compatibility test for `F.phase_vocoder` and `T.TimeStretch`.
    * batch consistency test for `T.TimeStretch`.

This PR additionally adds batching to kaldi compliance resample interface.

* Change the name of the specgram named `waveform`

`F.sliding_window_cmn` takes a spectrogram as input (of shape
`(..., freq, time)`). However, this spectrogram is named `waveform`.
This appears to be an error, so rename this (and the output tensor) to
reflect that both are spectrograms.

* Correct tensor description in docstring

The output tensor of `F.sliding_window_cmn` is also a spectrogram.
Update the description to reflect this.

modified amplitude_to_DB to clamp per-item when a batch is provided
Co-authored-by: Vincent QB <vincentqb@users.noreply.github.com>

* Resolves https://github.com/pytorch/audio/issues/1095

* Add griffinlim and DB_to_amplitude
* Fix Dataset docstring
* Fix other formatting
Co-authored-by: krishnakalyan3 <skalyan@cloudera.com>

Co-authored-by: krishnakalyan3 <skalyan@cloudera.com>

* Suggested changes to speed up phaser

* Checkpoint

* Checkpoint

* Checkpoint

* Checkpoint

* removing todo items
Co-authored-by: Vincent QB <vincentqb@users.noreply.github.com>

* Warn if create_fb_matrix produces a column whose weights are all zeros

See also https://github.com/librosa/librosa/issues/478

* `istft` has been migrated to `pytorch`, and `torchaudio.functional.istft` has been deprecated in 0.6.0 release. This PR removes it
Co-authored-by: Jeremy Chen <jeremyyy@fb.com>

- Addresses #549 #638 #786 
- Add `torchaudio` top level module doc
- Separate `torchaudio` top level module doc from `index.html`
- Add `backend` module doc.
- Remove `-> None` from function signature as it adds noise to documentation
- Changed function argument name of `torchaudio.backend.sox_io_backend.save` from `tensor` to `src`, so that it matches with the reset of backends.
- Tweak bunch of docstrings

* Update functional.py

rollback torch.norm() in spectrogram() to v0.4.0.

* Update functional.py

comment out `spec_f = complex_norm(spec_f, power=power)`.

* fixed complex_norm() instead of spectrogram() for torch.norm() issue.

* lint
Co-authored-by: bongjin.lee <bongjin.lee@navercorp.com>
Co-authored-by: Vincent QB <vincentqb@users.noreply.github.com>