From 7e78ec00afaa6bbd6eabb54366a2dd1cdc5fb2cc Mon Sep 17 00:00:00 2001 From: Brandon Thomas Date: Thu, 4 May 2023 04:36:37 -0700 Subject: [PATCH] log where the models are being saved --- .../so-vits-svc-paul-v2/src/so_vits_svc_fork/utils.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/voice_conversion/so-vits-svc-paul-v2/src/so_vits_svc_fork/utils.py b/voice_conversion/so-vits-svc-paul-v2/src/so_vits_svc_fork/utils.py index 8faf4ff..9578b81 100644 --- a/voice_conversion/so-vits-svc-paul-v2/src/so_vits_svc_fork/utils.py +++ b/voice_conversion/so-vits-svc-paul-v2/src/so_vits_svc_fork/utils.py @@ -113,13 +113,16 @@ from joblib import Parallel, delayed def ensure_pretrained_model( folder_path: Path | str, type_: str, **tqdm_kwargs: Any ) -> tuple[Path, ...] | None: + LOG.info("ensure_pretrained_model: Saving pretrained model to {}".format(folder_path)) folder_path = Path(folder_path) models_candidates = PRETRAINED_MODEL_URLS.get(type_, None) if models_candidates is None: LOG.warning(f"Unknown pretrained model type: {type_}") return for model_urls in models_candidates: + LOG.info("ensure_pretrained_model: model urls: {}".format(model_urls)) paths = [folder_path / model_url.split("/")[-1] for model_url in model_urls] + LOG.info("ensure_pretrained_model: file paths: {}".format(paths)) try: Parallel(n_jobs=len(paths))( [