adding support for PASE

Author: mravanelli

neural_networks.py

@@ -1759,7 +1759,8 @@ def __init__(self, options, inp_dim):
 
  # To use PASE within PyTorch-Kaldi, please clone the current PASE repository: https://github.com/santi-pdp/pase 
  # Note that you have to clone the dev branch.
- # Take a look into the requirements (requirements.txt) and install in your environment what is missing. An important requirement is QRNN (https://github.com/salesforce/pytorch-qrnn). Before starting working with PASE, it could make sense to a quick test with QRNN independently (see “usage” section in the QRNN repository).
+ # Take a look into the requirements (requirements.txt) and install in your environment what is missing. An important requirement is QRNN (https://github.com/salesforce/pytorch-qrnn). 
+ # Before starting working with PASE, it could make sense to a quick test with QRNN independently (see “usage” section in the QRNN repository).
  # Remember to install pase. This way it can be used outside the pase folder directory. To do it, go into the pase folder and type:
  # "python setup.py install"
 
@@ -1786,4 +1787,4 @@ def forward(self, x):
  x=x.unsqueeze(0).unsqueeze(0)
  output=self.pase(x) 
 
- return output
+ return output

proto/PASE.proto

@@ -1,3 +1,4 @@
 [proto]
 pase_cfg=str
 pase_model=path
+