Complex-valued Neural Networks and Variational Dropout
This is a minor mid-month release.
The following features were added:
- Complex Transposed Convolutions # 8, squeeze/unsqueeze methods for
Cplx
# 7, and support forview
andview_as
methods forCplx
# 6 by Hendrik Schröter - Tensor-to-Cplx converter layers for special torch format of complex tensors (last dim is exactly 2) see torch.fft
The following bugs were fixed:
- Shape mismatch in
nn.init.cplx_trabelsi_independent_
, which prevented it from working properly # 11