Hi everyone. I’m trying to replace a scipy.resample() call in my code with an equivalent in pytorch.  My code just takes a time series trace and can upsamples it using scipy.signal.resample currently.
upsample_rate = 10
length = 100
trace = np.random.rand(length)
trace_upsampled = signal.resample(trace,length*upsample_rate)

I need to carry out this operation over multiple traces at a time.  Is there an equivalent in  torch?  I assume it would involve some kind of fast fourier transform, but the nn.interpolate functions all seem linear to me.
Thanks!