precommit

Author: JanFSchulte

hls4ml/converters/pytorch_to_hls.py

@@ -17,13 +17,11 @@ def __init__(self, config):
     def get_weights_data(self, layer_name, var_name):
         data = None
 
-
         # Workaround for naming schme in nn.Sequential,
         # have to remove the prefix we previously had to add to make sure the tensors are found
         if 'layer_' in layer_name:
             layer_name = layer_name.split('layer_')[-1]
 
-
         # if a layer is reused in the model, torch.FX will append a "_n" for the n-th use
         # have to snap that off to find the tensors
         if layer_name.split('_')[-1].isdigit() and len(layer_name.split('_')) > 1: