New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Experimental] PyTorch-like Functions #324

merged 3 commits into from Jan 11, 2019


None yet
2 participants
Copy link

TE-KazukiYoshiyama commented Jan 11, 2019

Currently, the following NNabla's parametric function classes are defined:

  • Convolution (Conv1d, Conv2d, Conv3d, ConvNd)
  • Deconvolution (Deconv1d, Deconv2d, Deconv3d, DeconvNd)
  • Affine (Linear)
  • Embed
  • BatchNorm (BatchNorm1d, BatchNorm2d, BatchNorm3d)

@TE-KazukiYoshiyama TE-KazukiYoshiyama changed the title PyTorch-like Functions [Experimental] PyTorch-like Functions Jan 11, 2019

@TE-TakuyaNarihira TE-TakuyaNarihira merged commit 9de5b47 into master Jan 11, 2019

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment