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 | ||
| test_align_tts_train.py | ||
| test_feed_forward_layers.py | ||
| test_glow_tts.py | ||
| test_glow_tts_train.py | ||
| test_speedy_speech_layers.py | ||
| test_speedy_speech_train.py | ||
| test_tacotron2_d-vectors_train.py | ||
| test_tacotron2_model.py | ||
| test_tacotron2_speaker_emb_train.py | ||
| test_tacotron2_tf_model.py | ||
| test_tacotron2_train.py | ||
| test_tacotron2_train_fsspec_path.py | ||
| test_tacotron_layers.py | ||
| test_tacotron_model.py | ||
| test_tacotron_train.py | ||