mirror of https://github.com/coqui-ai/TTS.git
ced4cfdbbf
* Allow saving / loading checkpoints from cloud paths Allows saving and loading checkpoints directly from cloud paths like Amazon S3 (s3://) and Google Cloud Storage (gs://) by using fsspec. Note: The user will have to install the relevant dependency for each protocol. Otherwise fsspec will fail and specify which dependency is missing. * Append suffix _fsspec to save/load function names * Add a lower bound to the fsspec dependency Skips the 0 major version. * Add missing changes from refactor * Use fsspec for remaining artifacts * Add test case with path requiring fsspec * Avoid writing logs to file unless output_path is local * Document the possibility of using paths supported by fsspec * Fix style and lint * Add missing lint fixes * Add type annotations to new functions * Use Coqpit method for converting config to dict * Fix type annotation in semi-new function * Add return type for load_fsspec * Fix bug where fs not always created * Restore the experiment removal functionality |
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| .. | ||
| __init__.py | ||
| base_vocoder.py | ||
| fullband_melgan_generator.py | ||
| gan.py | ||
| hifigan_discriminator.py | ||
| hifigan_generator.py | ||
| melgan_discriminator.py | ||
| melgan_generator.py | ||
| melgan_multiscale_discriminator.py | ||
| multiband_melgan_generator.py | ||
| parallel_wavegan_discriminator.py | ||
| parallel_wavegan_generator.py | ||
| random_window_discriminator.py | ||
| univnet_discriminator.py | ||
| univnet_generator.py | ||
| wavegrad.py | ||
| wavernn.py | ||