title: Is it possible in Caffe to calculate number of Operations taking place in an architecture?
body: <p>I have seen in <a href="https://www.tensorflow.org/tutorials/deep_cnn/" rel="noreferrer">tensorflow tutorial</a>s, they provide some interesting statistics about different architectures, such as number of operations taking place, etc . </p>
  
  <blockquote>
    <p>This model achieves a peak performance of about 86% accuracy within a
    few hours of training time on a GPU. Please see below and the code for
    details. It consists of 1,068,298 learnable parameters and requires
    about 19.5M multiply-add operations to compute inference on a single
    image.</p>
  </blockquote>
  
  <p>How can I achieve something similar using Caffe?<br>
  How can compute or compile such interesting statistics myself?<br>
  (by the way I'm not talking about tensorboard visualizations, Just statistics such as number of operations and stuff like that)</p>