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* STFT transform and function from #285

* merge options in existing functionality.

* remove dimension 2 check. add test.

* using ...

* update spectrogram test.

* resume download, validate with md5 or sha256.

* split stream from saving. detect filename.

* validate at end too. check file size again.

* validate now operates on file object.

* expose choices of hash.

* OSS Automated Fix: Addition of Contributing

* close file.

* staying with datapoints as tuples until further notice.

* loading tsv as dict.

* BackgroundGenerator
* renaming disk cache.

Add peaking equalizer filter in functional.py and test it in test_functional_filter.py.

* add linearity test for istft
* one test needs to be relaxed from atol=1e-6 to atol=1e-5

* pitch detection validation.
* make torchscriptable.

Fix test for datasets.

This reverts commit 962c6b0f.

* new dataset format.
* add basic test.
* files for testing.
* serialization using torch.
* add diskcache.
* adding deprecation warnings.
* removing legacy.
* warning about transforms.
* detecting file format using reader.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Fixed create_fb_matrix filter bank behavior for fmin/fmax
* add better test for f_min close to f_max
* added one more test for f_min > f_max
* adding one more test

* Updated URL for downloading flac, changed http to https download
* Removed comments that are documented in the code

* Add explicit signature for Sphinx autodoc when function wrapped by @torch.jit.script

* TimeStretch and Masking
* Doc stuff and naming

* Ensure that lfilter works with GPU
* Add option to load on different device
* Debugging tests of lfilter on GPU
* allowing arbitrary types into lfilter

* compute deltas.
* multichannel, and random test.
* documentation.
* feedback. changing name of window to win_length.
* passing padding mode.

* Add basic low pass filtering
* Add highpass filtering
* More tests of IIR vs FIR
* Implement convolve function, add tests
* Move lfilter and convolve into functional, more tests
* added additional documentation for convolve and lfilter, renamed functional_filtering to functional_sox_convenience
* Follow naming convention for sample rate in functional
* fix failing vctk manifest test to account for adding more test audios into assets
* Adding documentation for lfilter, biquad, highpass_biquad, lowpass_biquad
* added matrix based implementation of lfilter
* adding python lfilter implementation
* factor out biquad, lowpass, highpass to sox compatibility

* Add a retry to adjust for network failures when downloading from sourceforge
* fix packaging by adding longer connection timeout

Add a retry and change timeout to adjust for network failures when downloading from sourceforge (#280)

* Add a retry to adjust for network failures when downloading from sourceforge

* try to fix packaging by adding longer connection timeout

* fixed resample to work with cuda tensors

* adding comment

This reverts commit 860edcdb.

* fix deprecated torch type.
* don't link alsa on linux.

Adding disclaimer about dataset. https://github.com/pytorch/pytorch/issues/24865