- 10 Mar, 2021 1 commit
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pw2406 authored
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- 08 Mar, 2021 1 commit
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Krishna Kalyan authored
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- 05 Mar, 2021 3 commits
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Aobo Yang authored
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hwangjeff authored
* Refactor Kaldi compatibility tests Co-authored-by:Jeff Hwang <jeffhwang@fb.com>
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Jcaw authored
* Parameterize `test_sliding_window_cmn` * Extract test naming function * Pass a spectrogram to `F.sliding_window_cmn` * Set manual seed for remaining rand calls in suite
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- 04 Mar, 2021 1 commit
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Jcaw authored
Parameterize `test_create_fb` so each set of values are tested independently. Also explicitly skip on older versions of librosa (< 0.7.2) when `norm="slaney"`.
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- 03 Mar, 2021 2 commits
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Prakashkumar Thiagarajan authored
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Caroline Chen authored
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- 02 Mar, 2021 2 commits
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Vincent QB authored
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Caroline Chen authored
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- 28 Feb, 2021 1 commit
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Jcaw authored
* Test with batches of differing items Issues that occur when different items in a batch influence one another will not present when a batch is composed of identical items. When checking the consistency of batched behavior, in order to catch these issues items should be different. Thus, use different items for the `functional` batch consistency tests wherever possible. * Generate different white noise in each channel Don't duplicate a single channel multiple times. Since this is used for testing, generate different noise in each channel so data leakage between channels can be detected. * Parameterize batch size in batch consistency tests Rather than creating a batch of 3 items in each test and slicing it to test two different batch sizes at once, parameterize the batch size on the TestFunctional class itself. This will generate a separate set of tests for each batch size (better isolating failures) and removes a leaky abstraction where the test calling `assert_batch_consistencies` had to know to give it a batch size greater than 1. * Check inputs too, to catch in-place operations Check inputs to the batch consistency operations too, to ensure any in-place operations operate the same on items as batches - not just that they output the same result. * Use much shorter sample for phaser test Using a 5-second signal for the phaser test takes a long time on CPU, much longer than the other batch consistency tests. Use a shorter signal instead. * Load dual-channel wav for VAD test The stereo wav has two channels, slightly offset, so they'll count as different items. * Load wav using common_utils, not torchaudio.load * Test pitch frequency with different freqs per item The pitch frequency batch test was using the same frequency for each item, which may not catch data leakage between items within a batch. Use different frequencies so these kinds of issues would be triggered, just like the other batch consistency tests. * Explain justification for single-item batch
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- 21 Feb, 2021 1 commit
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Aziz authored
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- 15 Feb, 2021 1 commit
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Aziz authored
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- 09 Feb, 2021 2 commits
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moto authored
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Prabhat Roy authored
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- 04 Feb, 2021 2 commits
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jieruan authored
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Jcaw authored
modified amplitude_to_DB to clamp per-item when a batch is provided Co-authored-by:Vincent QB <vincentqb@users.noreply.github.com>
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- 20 Jan, 2021 1 commit
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Nicolas Hug authored
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- 08 Jan, 2021 1 commit
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Krishna Kalyan authored
Also replaces `assert_allclose` with `assertEqual`. Co-authored-by:krishnakalyan3 <skalyan@cloudera.com>
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- 06 Jan, 2021 1 commit
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moto authored
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- 21 Sep, 2020 1 commit
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toddstep authored
* Warn if create_fb_matrix produces a column whose weights are all zeros See also https://github.com/librosa/librosa/issues/478
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- 05 Aug, 2020 1 commit
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moto authored
We have been running unit test with editable installation. (i.e. `python setup.py develop`), with which we missed issues like #842. This CC makes installation in CI non-editable, and change test directory structure so that the source code will not shadow the installed version of `torchaudio`. With simple `pytest test`, `pytest` modifies `sys.path` and prepend checked out repository, which shadows the installed version. To remedy this, the whole test suites has been moved from `./test` to `./test/torchaudio_unittest`. This adds nice module structure to our test code and we can do absolute import in each test module, which makes it possible again to run test with `python -m unittest torchaudio_unittest/XXX.py` This change does not affect the regular development process (`python setup.py develop` && `pytest test`)
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