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Sortformer Diarizer 4spk v1 model PR Part 2: Unit-tests for Sortformer Diarizer. #11336

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@tango4j tango4j commented Nov 20, 2024

What does this PR do ?

This is the second PR that deals with unit tests for
Sortformer Diarizer Model, 4 speaker limit, v1 model.

Previous PR:
This is PR 2nd out of 3.
1st PR: #11336
3rd PR:

Sortformer Paper:
Sortformer Paper Link

Overview:

  • We moved all the speaker recognition related test files from
    NeMo/tests/collections/asr to NeMo/tests/collections/speaker_tasks.
  • We have added all Sortformer diarizer related unit-test functions and classes.

Collection: ASR

Changelog

Updated the test_data.tar.gz file in https://github.com/NVIDIA/NeMo/releases/tag/v1.0.0rc1

NeMo/tests/collections/speaker_tasks/.
├── test_diar_datasets.py (moved, modified)
├── test_diar_label_models.py (moved, modified)
├── test_diar_lhotse_datasets.py (created)
├── test_diar_metrics.py (moved, modified)
├── test_diar_neural_inference.py (moved, modified) 
├── test_diar_sortformer_models.py (created)
├── test_speaker_label_models.py (moved)
└── utils
    ├── test_data_simul_utils.py (moved)
    ├── test_diar_utils.py (moved)
    ├── test_multispeaker_utils.py (created)
    └── test_vad_utils.py (moved)

Usage

pytest <NeMo Root>/tests/collections/speaker_tasks/*

GitHub Actions CI

Added the new CIs for Sortformer Diarizer.

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tango4j and others added 30 commits November 13, 2024 18:46
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tango4j and others added 11 commits November 18, 2024 18:28
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@tango4j tango4j changed the title Sortformer/pr 02 Sortformer Diarizer 4spk v1 model PR Part 2: Unit-tests for Sortformer Diarizer. Nov 20, 2024
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beep boop 🤖: 🚨 The following files must be fixed before merge!


Your code was analyzed with PyLint. The following annotations have been identified:


------------------------------------
Your code has been rated at 10.00/10

Thank you for improving NeMo's documentation!

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beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.


Your code was analyzed with PyLint. The following annotations have been identified:


------------------------------------
Your code has been rated at 10.00/10

Thank you for improving NeMo's documentation!

sortformer_diar_model = sortformer_model.eval()
confdict = sortformer_diar_model.to_config_dict()
sampling_rate = confdict['preprocessor']['sample_rate']
target_frame_count = int(sample_len // frame_length)

Check notice

Code scanning / CodeQL

Unused local variable Note test

Variable target_frame_count is not used.
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