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extract_feature_print.py

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@@ -9,9 +9,7 @@
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import torch.nn.functional as F
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import soundfile as sf
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import numpy as np
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import joblib
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from fairseq import checkpoint_utils
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import pdb
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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f = open("%s/extract_f0_feature.log"%exp_dir, "a+")

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