I am working on task which requires Fast Fourier Transformation(FFT). Pytorch supports FFT with method torch.fft(input, signal_ndim, normalized). According to the doc, input must be a tensor with last dimension of size 2, representing the real and imaginary components of complex numbers,....
I am wondering if a can get imaginary and real part as different tensors.
For example numpy supports the following expressions:
Hello,
I am working on task which requires Fast Fourier Transformation(FFT). Pytorch supports FFT with method torch.fft(input, signal_ndim, normalized). According to the doc,
input
must be a tensor with last dimension of size 2, representing the real and imaginary components of complex numbers,....I am wondering if a can get imaginary and real part as different tensors.
For example numpy supports the following expressions:
Thank you in advance.