def _tf_fn(x):
return signal.irfft3d(
x,
fft_length=[
x.shape[-3].value // 2, x.shape[-2].value, x.shape[-1].value * 2
])
def _tf_fn(x):
return signal.irfft3d(
x,
fft_length=[
x.shape[-3].value, x.shape[-2].value, 2 * (x.shape[-1].value - 1)
])
def _tf_fn(x):
return signal.irfft3d(x,
fft_length=[
x.shape[-3].value, x.shape[-2].value,
2 * (x.shape[-1].value - 1)
])
def _tf_fn(x):
return signal.irfft3d(
x, fft_length=[x.shape[-3] // 2, x.shape[-2], x.shape[-1] * 2])
def _tf_fn(x):
return signal.irfft3d(
x,
fft_length=[x.shape[-3], x.shape[-2], 2 * (x.shape[-1] - 1)])
def _tf_fn(x):
return signal.irfft3d(x,
fft_length=[
x.shape[-3].value // 2,
x.shape[-2].value, x.shape[-1].value * 2
])