@ -86,7 +86,6 @@ def train():
# Optimizer
pg0, pg1, pg2 = [], [], [] # optimizer parameter groups
for k, v in dict(model.named_parameters()).items():
print(k)
if '.bias' in k:
pg2 += [v] # biases
elif 'Conv2d.weight' in k: