31 def fft(a: ArrayLike, n=None, axis=-1, norm=None):  argument
32     return torch.fft.fft(a, n, dim=axis, norm=norm)
37 def ifft(a: ArrayLike, n=None, axis=-1, norm=None):  argument
38     return torch.fft.ifft(a, n, dim=axis, norm=norm)
43 def rfft(a: ArrayLike, n=None, axis=-1, norm=None):  argument
44     return torch.fft.rfft(a, n, dim=axis, norm=norm)
49 def irfft(a: ArrayLike, n=None, axis=-1, norm=None):  argument
50     return torch.fft.irfft(a, n, dim=axis, norm=norm)
55 def fftn(a: ArrayLike, s=None, axes=None, norm=None):  argument
56     return torch.fft.fftn(a, s, dim=axes, norm=norm)
61 def ifftn(a: ArrayLike, s=None, axes=None, norm=None):  argument
62     return torch.fft.ifftn(a, s, dim=axes, norm=norm)
67 def rfftn(a: ArrayLike, s=None, axes=None, norm=None):  argument
68     return torch.fft.rfftn(a, s, dim=axes, norm=norm)
73 def irfftn(a: ArrayLike, s=None, axes=None, norm=None):  argument
74     return torch.fft.irfftn(a, s, dim=axes, norm=norm)
79 def fft2(a: ArrayLike, s=None, axes=(-2, -1), norm=None):  argument
80     return torch.fft.fft2(a, s, dim=axes, norm=norm)
85 def ifft2(a: ArrayLike, s=None, axes=(-2, -1), norm=None):  argument
86     return torch.fft.ifft2(a, s, dim=axes, norm=norm)
91 def rfft2(a: ArrayLike, s=None, axes=(-2, -1), norm=None):  argument
92     return torch.fft.rfft2(a, s, dim=axes, norm=norm)
97 def irfft2(a: ArrayLike, s=None, axes=(-2, -1), norm=None):  argument
98     return torch.fft.irfft2(a, s, dim=axes, norm=norm)
103 def hfft(a: ArrayLike, n=None, axis=-1, norm=None):  argument
104     return torch.fft.hfft(a, n, dim=axis, norm=norm)
109 def ihfft(a: ArrayLike, n=None, axis=-1, norm=None):  argument
110     return torch.fft.ihfft(a, n, dim=axis, norm=norm)