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 | ||
| compute_attention_masks.py | ||
| compute_embeddings.py | ||
| compute_statistics.py | ||
| convert_melgan_tflite.py | ||
| convert_melgan_torch_to_tf.py | ||
| convert_tacotron2_tflite.py | ||
| convert_tacotron2_torch_to_tf.py | ||
| distribute.py | ||
| extract_tts_spectrograms.py | ||
| find_unique_chars.py | ||
| resample.py | ||
| synthesize.py | ||
| train_encoder.py | ||
| train_tts.py | ||
| train_vocoder.py | ||
| tune_wavegrad.py | ||