5 Commits

Author	SHA1	Message	Date
Enno Hermann	c5241d71ab	chore: address pytorch deprecations ... torch.range(a, b) == torch.arange(a, b+1) meshgrid indexing: https://github.com/pytorch/pytorch/issues/50276 checkpoint use_reentrant: https://dev-discuss.pytorch.org/t/bc-breaking-update-to-torch-utils-checkpoint-not-passing-in-use-reentrant-flag-will-raise-an-error/1745 optimizer.step() before scheduler.step(): https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate	2024-06-26 11:38:25 +02:00
Enno Hermann	b711e19cb6	refactor: remove verbose arguments ... Can be handled by adjusting logging levels instead.	2024-04-03 15:19:45 +02:00
Enno Hermann	b6ab85a050	fix: use logging instead of print statements ... Fixes #1691	2024-04-03 15:19:45 +02:00
Eren Gölge	0870a4faa2	Make style (#1405)	2022-03-16 12:13:55 +01:00
Edresson Casanova	f81892483d	REBASED: Transform Speaker Encoder in a Generic Encoder and Implement Emotion Encoder training support (#1349) ... * Rename Speaker encoder module to encoder * Add a generic emotion dataset formatter * Transform the Speaker Encoder dataset to a generic dataset and create emotion encoder config * Add class map in emotion config * Add Base encoder config * Add evaluation encoder script * Fix the bug in plot_embeddings * Enable Weight decay for encoder training * Add argumnet to disable storage * Add Perfect Sampler and remove storage * Add evaluation during encoder training * Fix lint checks * Remove useless config parameter * Active evaluation in speaker encoder test and use multispeaker dataset for this test * Unit tests fixs * Remove useless tests for speedup the aux_tests * Use get_optimizer in Encoder * Add BaseEncoder Class * Fix the unitests * Add Perfect Batch Sampler unit test * Add compute encoder accuracy in a function	2022-03-11 14:43:40 +01:00