Fix rfft call broken by pytorch breaking BC
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@ -13,10 +13,15 @@ def power(x):
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frequency of the input.
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frequency of the input.
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"""
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"""
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signal_ndim = x.dim() - 2
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signal_ndim = x.dim() - 2
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kmax = min(d for d in x.shape[-signal_ndim:]) // 2
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signal_size = x.shape[-signal_ndim:]
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kmax = min(s for s in signal_size) // 2
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even = x.shape[-1] % 2 == 0
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even = x.shape[-1] % 2 == 0
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try:
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x = torch.fft.rfftn(x, s=signal_size) # new version broke BC
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except AttributeError:
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x = torch.rfft(x, signal_ndim)
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x = torch.rfft(x, signal_ndim)
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P = x.pow(2).sum(dim=-1)
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P = x.pow(2).sum(dim=-1)
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P = P.mean(dim=0)
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P = P.mean(dim=0)
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P = P.sum(dim=0)
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P = P.sum(dim=0)
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