Skip to content

Differentiable FFT Conv Layer with Dense Color Channels

License

Notifications You must be signed in to change notification settings

jkuli-net/ConvFFT

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ConvFFT

Differentiable FFT Conv Layer with Dense Color Channels

This is meant to be a drop in replacement for torch.conv

  • functional_conv1d_fft replaces torch.nn.functional.conv1d
  • Conv1d_fft replaces torch.nn.Conv1d
  • supports 1d, 2d and 3d convolution

This is just an alpha POC release.
Written in Python, no optimized cuda.
API is not exactly matching torch yet.
unsupported: stride, dilation, groups, etc

About

Differentiable FFT Conv Layer with Dense Color Channels

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages