Find the full release notes here.  
Front End APIs
[Beta] NumPy Compatible torch.fft module
FFT-related functionality is commonly used in a variety of scientific fields like signal processing. While PyTorch has historically supported a few FFT-related functions, the 1.7 release adds a new torch.fft module that implements FFT-related functions with the same API as NumPy.
This new module must be imported to be used in the 1.7 release, since its name conflicts with the historic (and now deprecated) torch.fft function.
Example usage:
```python



import torch.fft
t = torch.arange(4)
t
tensor([0, 1, 2, 3])
torch.fft.fft(t)
tensor([ 6.+0.j, -2.+2.j, -2.+0.j, -2.-2.j])
t = tensor([0.+1.j, 2.+3.j, 4.+5.j, 6.+7.j])
torch.fft.fft(t)
tensor([12.+16.j, -8.+0.j, -4.-4.j,  0.-8.j])
 ```




Documentation

[Beta] C++ Support for Transformer NN Modules