GitLab

* fix inline typing for mypy

* fix flake8

* change check position

* fix for py3.5

* fix for py3.5

* change to inline typing

* add inline typing

* add checksums

* checksum function changes

* function Docstring change

* checksums moved to Dataset Modules

Before

Total time: 13.7078

```
   722|    220501|      2.44247|  1.10769e-05| 17.82%|    for i_sample, o0 in enumerate(input_signal_windows.t()):
(call)|         1|  6.36578e-05|  6.36578e-05|  0.00%|# /scratch/moto/pytorch/torch/tensor.py:460 __iter__
(call)|    220500|      1.60566|  7.28191e-06| 11.71%|# /scratch/moto/pytorch/torch/tensor.py:474 <lambda>
   723|    220500|      1.86697|  8.46698e-06| 13.62%|        windowed_output_signal = padded_output_waveform[:, i_sample:(i_sample + n_order)]
   724|    220500|      1.94628|  8.82669e-06| 14.20%|        o0.addmv_(windowed_output_signal, a_coeffs_flipped, alpha=-1)
   725|    220500|         2.46|  1.11565e-05| 17.94%|        o0.div_(a_coeffs[0])
   726|         0|            0|            0|  0.00%|
   727|    220500|      3.37869|  1.53229e-05| 24.64%|        padded_output_waveform[:, i_sample + n_order - 1] = o0
```

After

Total time: 10.9667

```
   722|         1|   9.2268e-05|   9.2268e-05|  0.00%|    input_signal_windows.div_(a_coeffs[0])
   723|         1|  2.14577e-05|  2.14577e-05|  0.00%|    a_coeffs_flipped.div_(a_coeffs[0])
   724|    220501|      2.40216|  1.08941e-05| 21.90%|    for i_sample, o0 in enumerate(input_signal_windows.t()):
(call)|         1|  5.84126e-05|  5.84126e-05|  0.00%|# /scratch/moto/pytorch/torch/tensor.py:460 __iter__
(call)|    220500|      1.59821|   7.2481e-06| 14.57%|# /scratch/moto/pytorch/torch/tensor.py:474 <lambda>
   725|    220500|      1.82273|  8.26633e-06| 16.62%|        windowed_output_signal = padded_output_waveform[:, i_sample:(i_sample + n_order)]
   726|    220500|      1.84074|  8.34802e-06| 16.78%|        o0.addmv_(windowed_output_signal, a_coeffs_flipped, alpha=-1)
   727|    220500|       3.2952|  1.49442e-05| 30.05%|        padded_output_waveform[:, i_sample + n_order - 1] = o0
```

* Add dcshift to functional

* Doc string change and remove inplace clamp

* Minor Fix to dcshit and separate sox test refactoring

* Minor change to limiter_gain type

* adding dcshift to __all__ in functional

* add cmvn

* Update transforms.rst

add cmvn

* Correct the format

* Correct the format

* Correct the format

* add test unit and cmvn change to cmn

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

* Add contrast to functional

* add tests for contrast and update functional.rst

* Minor changes to sox and batch tests for contrast

This PR aims the following things;
1. Introduce and adopt helper function `get_asset_path` that abstract the logic to construct path to test assets.
2. Remove `create_temp_assets_dir` anywhere except `test_io`.

The benefits of doing so are,
a. the test code becomes simpler (no manual construction of asset path with `os.path.join`)
b. No unnecessary directory creation and file copies.

For 2. and b. tests in `test_io.py` (or tests that use `torchaudio.save`) are the only tests that need to write file to the disc, where the use of temporary directory makes it cleaner, therefore, `create_temp_assets_dir` is not necessary elsewhere. (still, `test_io` does not need to copy the entire asset directory, but that's not the point here.)

Also if any test is accidentally overwriting an asset data, not using a copy will make us aware of such behavior, so it is better to get rid of `create_temp_assets_dir`.

This lfilter tests were moved to `test_torchscript_consistency.py` in #507 and GPU tests were added in #528.
We can safely remove this tests from `test_functional_filtering.py`.

* inline typing first iteration

* fix issue with mypy

* change docstring

* add more typing

* fix to not break BC

* update docstrings

* Update requirements and travis installation

* Drop support for 3.5 and add test for 3.8

* Call torch.stft directly

* Update requirements and travis installation

* Drop support for 3.5 and add test for 3.8

* Make test module name descriptive

* Rename test_functional_filtering to test_sox_compatibility

* Separate CPU and GPU tests for functions torchscript test

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

* add inline typing

* fix error

* minor change

* minor fix

* add config

* remove unnecessary

* add inline typing to utils Dataset

* add inline typing to common_utils

* add missing inline typing

* add typing to kwarg

* add missing inline typing

* update docstring

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

This improves the speed of `lfilter` (and functions that use `lfilter`, such as `biquad`) by 10%.

* Before (23.4369 seconds for `lfilter` call)

Breakdown

```
   720|    220501|       4.4464|   2.0165e-05| 18.97%|    for i_sample, o0 in enumerate(input_signal_windows.t()):
(call)|         1|  7.86781e-05|  7.86781e-05|  0.00%|# /scratch/moto/pytorch/torch/tensor.py:460 __iter__
(call)|    220500|      2.72458|  1.23564e-05| 11.62%|# /scratch/moto/pytorch/torch/tensor.py:474 <lambda>
   721|    220500|      2.80982|   1.2743e-05| 11.99%|        windowed_output_signal = padded_output_waveform[:, i_sample:(i_sample + n_order)]
   722|    220500|      4.92106|  2.23177e-05| 21.00%|        o0.sub_(torch.mv(windowed_output_signal, a_coeffs_flipped))
   723|    220500|      3.72974|  1.69149e-05| 15.91%|        o0.div_(a_coeffs[0])
   724|         0|            0|            0|  0.00%|
   725|    220500|      4.77714|   2.1665e-05| 20.38%|        padded_output_waveform[:, i_sample + n_order - 1] = o0
```

* After (20.8405 seconds for `lfilter` call)

Breakdown

```
   720|    220501|      4.40834|  1.99924e-05| 21.15%|    for i_sample, o0 in enumerate(input_signal_windows.t()):
(call)|         1|  7.31945e-05|  7.31945e-05|  0.00%|# /scratch/moto/pytorch/torch/tensor.py:460 __iter__
(call)|    220500|      2.68595|  1.21812e-05| 12.89%|# /scratch/moto/pytorch/torch/tensor.py:474 <lambda>
   721|    220500|      2.97357|  1.34856e-05| 14.27%|        windowed_output_signal = padded_output_waveform[:, i_sample:(i_sample + n_order)]
   722|    220500|      2.63567|  1.19531e-05| 12.65%|        o0.addmv_(windowed_output_signal, a_coeffs_flipped)
   723|    220500|       3.4228|  1.55229e-05| 16.42%|        o0.div_(a_coeffs[0])
   724|         0|            0|            0|  0.00%|
   725|    220500|      4.68726|  2.12574e-05| 22.49%|        padded_output_waveform[:, i_sample + n_order - 1] = o0
```

* Script

```python
import pprofile

import torch
import torchaudio
import torchaudio.functional as F

def profile_biquad():
    waveform, sr = torchaudio.load('test/assets/100Hz_44100Hz_16bit_05sec.wav', normalization=True)

    prof = pprofile.Profile()
    with prof():
        F.equalizer_biquad(waveform, sr, 3000, 1, 0.707)
    prof.print_stats()

profile_biquad()
```

* See also

https://github.com/pytorch/audio/issues/260#issuecomment-610074110

* grep -l 'torch.allclose' -r test | xargs sed -i 's/assert torch.allclose/torch.testing.assert_allclose/g'

* grep -l 'torch.allclose' -r test | xargs sed -i 's/self.assertTrue(torch.allclose(\(.*\)))/torch.testing.assert_allclose(\1)/g'

* Fix missing atol/rtol, wrong shape, argument order. Remove redundant shape assertions

* add CommonDataset Inline typing

* inline Typing librispeech

* add inline typing ljspeech

* add inline typing speechcommands

* add inline typing to vctk

* add inline typing yesno

* apply type to __getitem__
Co-authored-by: Vincent QB <vincentqb@users.noreply.github.com>

* Fix Fade device compatibility