title: Does inference time depend on number of parameter?
body: <p>I have two networks. One has following:</p>
  
  <p>Total params: 2,246,550<br>
  Trainable params: 2,246,550<br>
  Non-trainable params: 0</p>
  
  <p>and 2nd network has around total Trainable params 333,013</p>
  
  <p>but in case of inference time 2nd network took 0.12 sec
  and 1st network taking 0.08 sec on average respectively.</p>
  
  <p>what is reason behind such difference?</p>