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https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
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Format code (#1154)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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@ -264,9 +264,7 @@ class Pipeline(object):
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with torch.no_grad():
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hasp = pitch is not None and pitchf is not None
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arg = (feats, p_len, pitch, pitchf, sid) if hasp else (feats, p_len, sid)
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audio1 = (
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(net_g.infer(*arg)[0][0, 0]).data.cpu().float().numpy()
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)
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audio1 = (net_g.infer(*arg)[0][0, 0]).data.cpu().float().numpy()
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del hasp, arg
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del feats, p_len, padding_mask
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if torch.cuda.is_available():
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@ -2,6 +2,7 @@ import os
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from fairseq import checkpoint_utils
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def get_index_path_from_model(sid):
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return next(
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(
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@ -338,5 +338,14 @@ class RVC:
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.float()
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)
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t5 = ttime()
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print("Spent time: fea =", t2 - t1, ", index =", t3 - t2, ", f0 =", t4 - t3, ", model =", t5 - t4)
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print(
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"Spent time: fea =",
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t2 - t1,
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", index =",
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t3 - t2,
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", f0 =",
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t4 - t3,
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", model =",
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t5 - t4,
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)
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return infered_audio
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