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* 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 

* Turn on tests when building through conda-build

* skip one failling test on windows.

* Switch to unittest

* Fix conda env activation

* add linux only condition

* Fix librosa installation

* conda-forge channel as a fallback

* Revert "conda-forge channel as a fallback"

This reverts commit 8c15f6638e34792640a3de3e057d9c2995425180.

* Try the pytorch way

* Use conda-forge

* Disable conda-forge

* Install future at setup env

* Move linux unittest CI job tools to dedicated directory

* Restore Linux scripts and move the updated souces to a new subdir

* Add back future

* Remove comments
Co-authored-by: Vincent Quenneville-Belair <vincentqb@gmail.com>
Co-authored-by: moto <855818+mthrok@users.noreply.github.com>

* Add one fbank compatibility test

* Update util

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

* Add README for test

* Apply review feedback

* Add description to test_dataloader

* lfilter: add an optional arg `clamp`

to give users control on the clamping behavior within the range [-1, 1],
which was hardcoded before.

Fixes #596

* doc string formatting

* lint

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

* add wav2letter model

* add unit_test to model

* add docstrings

* add documentation

* fix minor error, change logic on forward

* update padding same with ceil

* add inline typing and minor fixes to docstrings

* remove python2

* add formula do docstrings, change param name

* add test with mfcc, add pytest

* fix bug, update docstrings

* change parameter name

* initial test, stub function, transform and docstring

* add draft working implementation, update docstrings

* merge VadSate into Vad calss, move Channel into Vad class

* remove functional stub for vad

* add wav file for test

* refactor _measure() to improve performance

* rename argument

* replace copy_ with assignment

* refactor init, update documentation, update test for readability

* clean up default values

* move code from transforms.py to funtional.py and integrate state into a function

* remove Channel state class

* fix calcuation of a flush point

* make multiple channels work

* clean up multi-channel, update test

* rename variables and re-org arguments for _measure

* fix linting errors

* add torchscript consistency test and fix errors

* support and test batch consistency, fix normalization

* update documentation, switch torchscript consistancy test to use transform to improve coverage

* fix linting errors

* remove un-used imports

* address PR comments

* add doc references into rst