replace np.int with np.int32 (#948)
ref: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
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@ -131,7 +131,7 @@ class RVC:
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) + 1
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f0_mel[f0_mel <= 1] = 1
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f0_mel[f0_mel > 255] = 255
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f0_coarse = np.rint(f0_mel).astype(np.int)
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f0_coarse = np.rint(f0_mel).astype(np.int32)
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return f0_coarse, f0bak # 1-0
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def infer(self, feats: torch.Tensor) -> np.ndarray:
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@ -145,7 +145,7 @@ class RVC:
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) + 1
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f0_mel[f0_mel <= 1] = 1
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f0_mel[f0_mel > 255] = 255
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f0_coarse = np.rint(f0_mel).astype(np.int)
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f0_coarse = np.rint(f0_mel).astype(np.int32)
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return f0_coarse, f0bak # 1-0
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def infer(self, feats: torch.Tensor) -> np.ndarray:
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@ -100,7 +100,7 @@ class RVC:
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) + 1
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f0_mel[f0_mel <= 1] = 1
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f0_mel[f0_mel > 255] = 255
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f0_coarse = np.rint(f0_mel).astype(np.int)
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f0_coarse = np.rint(f0_mel).astype(np.int32)
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return f0_coarse, f0bak
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def get_f0(self, x, f0_up_key, n_cpu, method="harvest"):
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@ -112,7 +112,7 @@ def get_f0(x, p_len, f0_up_key=0):
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f0_mel[f0_mel <= 1] = 1
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f0_mel[f0_mel > 255] = 255
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# f0_mel[f0_mel > 188] = 188
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f0_coarse = np.rint(f0_mel).astype(np.int)
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f0_coarse = np.rint(f0_mel).astype(np.int32)
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return f0_coarse, f0bak
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@ -158,7 +158,7 @@ class VC(object):
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) + 1
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f0_mel[f0_mel <= 1] = 1
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f0_mel[f0_mel > 255] = 255
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f0_coarse = np.rint(f0_mel).astype(np.int)
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f0_coarse = np.rint(f0_mel).astype(np.int32)
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return f0_coarse, f0bak # 1-0
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def vc(
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