26

else:
  #Number of biases
  num_biases = conv.bias.numel()
                
  #Load the weights
  conv_biases = torch.from_numpy(weights[ptr: ptr + num_biases])
  ptr = ptr + num_biases
                    
  #reshape the loaded weights according to the dims of the model weights
  conv_biases = conv_biases.view_as(conv.bias.data)
                    
  #Finally copy the data
  conv.bias.data.copy_(conv_biases)