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* add unittest in test_models

* update test method

* remove unittest main function
Co-authored-by: Ji Chen <jimchen90@devfair0160.h2.fair>

This PR fixes the wrong member name of SignalInfo introduced in #718. 

 - `num_samples` == `num_frames` * `num_channels`.

This is a part of PRs to add new "sox_io" backend #726, and depends on #718.

This PR adds `info` function to "sox_io" backend, which allows users to fetch some metadata of an audio file. 
At this moment, the information retrieved are;

 - Number of samples in the audio file
 - Sampling rate
 - Number of channels

* Make tests backend aware by introducing TorchaudioTestCase and reset backend for each TestCase.

* Set backends for the test cases that require specific backend.

* Add MelResNet Block

* add default value

* update model and test

* rebase and small changes

* add pad variable

* update format

* update reference in docstrings

* add underscore name
Co-authored-by: Ji Chen <jimchen90@devfair0160.h2.fair>

Co-authored-by: Ji Chen <jimchen90@devfair0160.h2.fair>

* Refactor backend switching

1. Do not rely on global variables for backend switch
   So that load/save/info/load_wav functions will be torchscript-able
2. Add no_backend module to for the case there is no backend module available
   [bonus] This allows the whole codebase importable on systems that do not have torchaudio C++ extension nor soundfile.

`type` used in `common_utils` generates test class definition in `common_utils` and
this modifies the module state after it's imported. This is anti-pattern.
This PR get rid of the related utility functions and define test suite manually.

* Change parameterized testing system to be compatible with unittest

Summary: The previous implementation of parameterized testing worked by modifying test.common_utils inplace.  This doesn't work in general because unittest's contract with test modules is such that it must be able to load the module and run the test itself.  Because the previous implementation needed to load the module and modify it, it is incompatible.

Reviewed By: mthrok

Differential Revision: D21964676
Co-authored-by: Ben Mehne <bmehne@fb.com>

* Add cmu_arctic dataset

* add dataset name

* update audio test file with whitenoise.wav file

* add test text file

* update text method and file name

* update comment

* change datasets order in doc

* add line length
Co-authored-by: Ji Chen <jimchen90@devfair0160.h2.fair>

* kaldi compliance files cleanup for spec, fbank, mfcc

* kaldi compliance tests removal for spec, fbank, mfcc
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>

* Replace `backed_guard` with `requires_module`

* Remove backend_guard

* Migrate spectrogram

* Update spectrogram in kaldi.py to support device and dtype

* Remove failing tests
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>

* Fix device/dtype compatibility of Kaldi mfcc

* Migrate Kaldi mfcc test

* Remove failing tests
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>

* Add bass with biquad

* Update functional.py

Add the normalization coefficients

* Update test_sox_compatibility.py

In test_sox_compatibility.py file, I add two bass tests: one test sets gain = 30, atol = 1e-4, the other sets gain = 40, atol = 1.5e-4. The details can be seen in pytorch#676

* Update torchscript_consistency_impl.py

Add torchscript test

* Add flake8 test
Co-authored-by: Ji Chen <jimchen90@devfair0160.h2.fair>

* Migrate fbank tests

* Update CCI job environment

* Remove invalid test cases
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>

* Added the popular GTZAN dataset:

* Added the GTZAN class in torchaudio.datasets using the same format as the rest of the datasets.
* Added the appropriate test function in test_datasets.py.
* Added the GTZAN class in the datasets.rst documentation file.

* Addressed review issues in PR #668

* Added dummy noise .wav in `test/assets/`
* Removed transforms of input and output from the dataset
  `__init__` function, as well as the corresponding methods.
* Replaced rendundant `filtered` and `subset` methods from
  class initialization and also changed the corresponding
  assertion message.

* Fixed E303: too many blank lines error

* Added GTZAN to __init__.__all__

* Fixed incorrectly not importing GTZAN

* removed duplicate warning

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

* Updates test_transform.py to no longer perform floor division using torch.div

This will prevent this test from breaking when torch.div is updating to throw a runtime error when it would have performed floor division.

* flake8
Co-authored-by: Vincent QB <vincentqb@users.noreply.github.com>

* Add flanger to functional
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>

* Add random seed
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>

* fix flanger
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>

* shape

* Change bool arguments to strings
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>

* Refactor tests
Signed-off-by: Bhargav Kathivarapu <bhargavkathivarapu31@gmail.com>
Co-authored-by: Vincent QB <vincentqb@users.noreply.github.com>

* make parameter optional string.

* raise error if incorrect parameter choice.

* test with slaney.

* Add util to generate whitenoise

* Use sinusoid for pitch and revert vad

* Adopt PyTorch's test utility on kaldi compatibility test

 - Adopt PyTorch's test utility on kaldi compatibility test
 - Separate CPU test and GPU test

* Fix device/dtype conversion

Currently there is no CUDA device for regular FB's infra, where `torchaudio`'s tests are ran.
Skipping these tests consistently raises a flag so we decided to split the tests into runnable and not-runnable on file-level.

* add slaney normalization.

* add torchscript.

* convert to string for torchscript compatibility.

* flake8.

* use string as default.

* Make fbank support cuda

* Reduce rtol for kaldi

* fix test

* fix flake8

* Introduce common utility for defining test matrix for device/dtype

* Make resample_waveform support float64

* Mark lfilter related test as xfail when float64

* fix

Co-authored-by: Kunal Bhandari <bkunal@fb.com>

Closes #610