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fairseq
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Complexity
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Issues
A
fairseq\token_generation_constraints.py
84 1 -
A
examples\wav2vec\unsupervised\models\wav2vec_u.py
84 3 1
A
fairseq\model_parallel\models\pipeline_parallel_transformer\layers.py
84 2 1
A
tests\utils.py
85 1 -
A
examples\textless_nlp\pgslm\sample\sample.py
87 2 2
A
fairseq\data\audio\data_cfg.py
87 4 4
A
examples\speech_to_speech\benchmarking\core.py
89 2 -
A
fairseq\tasks\fairseq_task.py
89 6 -
A
fairseq\logging\meters.py
89 2 -
A
fairseq\models\fconv.py
89 2 -
A
fairseq\models\speech_dlm\modules\speech_dlm_decoder.py
89 2 2
A
examples\data2vec\models\audio_classification.py
92 2 2
C
examples\data2vec\scripts\text\valids.py
96 2 12
A
fairseq\models\speech_to_text\xm_transformer.py
97 14 -
A
fairseq\data\multilingual\sampled_multi_dataset.py
97 2 2
A
fairseq\models\lstm.py
98 2 1
A
fairseq\model_parallel\models\pipeline_parallel_transformer\model.py
99 3 -
A
examples\data2vec\models\data2vec_text.py
100 2 2
A
fairseq\modules\kmeans_attention.py
100 1 1
A
examples\speech_recognition\models\vggtransformer.py
100 2 1