GitLab

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>

* Make `_generate_wave_table` device and dtype aware.
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>

* 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 slaney normalization.

* add torchscript.

* convert to string for torchscript compatibility.

* flake8.

* use string as default.

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

* 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>

* Allow zero momentum in Griffin-Lim

* Skip momentum in Griffin-Lim if zero

This reverts commit 60fd113c.

* 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

* Add overdrive to functional

* Minor change to overdrive

* Minor change to overdrive

* minor flake8 changes

* changes to make overdrive generic
Co-authored-by: Vincent QB <vincentqb@users.noreply.github.com>

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