mirror of
https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI.git
synced 2026-06-05 09:10:25 +08:00
fix(fairseq): hubert load model error
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@@ -10,9 +10,6 @@ from pybase16384 import encode_to_string, decode_from_string
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from configs import CPUConfig
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from rvc.synthesizer import get_synthesizer
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from .pipeline import Pipeline
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from .utils import load_hubert
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class TorchSeedContext:
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def __init__(self, seed):
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@@ -95,6 +92,9 @@ def wave_hash(time_field):
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def model_hash(config, tgt_sr, net_g, if_f0, version):
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from .pipeline import Pipeline
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from .utils import load_hubert
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pipeline = Pipeline(tgt_sr, config)
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audio = original_audio()
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hbt = load_hubert(config.device, config.is_half)
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@@ -1,6 +1,7 @@
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import os, pathlib
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from fairseq import checkpoint_utils
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import torch
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from fairseq import checkpoint_utils, data
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def get_index_path_from_model(sid):
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@@ -21,10 +22,11 @@ def get_index_path_from_model(sid):
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def load_hubert(device, is_half):
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models, _, _ = checkpoint_utils.load_model_ensemble_and_task(
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["assets/hubert/hubert_base.pt"],
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suffix="",
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)
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with torch.serialization.safe_globals([data.dictionary.Dictionary]):
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models, _, _ = checkpoint_utils.load_model_ensemble_and_task(
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["assets/hubert/hubert_base.pt"],
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suffix="",
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)
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hubert_model = models[0]
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hubert_model = hubert_model.to(device)
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if is_half:
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