title: How to build tensorflow from source with a model that uses custom ops which are renamed versions of existing ops?
body: <p>I have a <code>.tflite</code> model that uses custom operations called <code>MaxPoolingWithArgmax2D</code>, <code>MaxUnpooling2D</code>, and <code>Convolution2DTransposeBias</code>.
  These ops are actually not custom ops, since they are present in tensorflow already (<a href="https://www.tensorflow.org/api_docs/python/tf/raw_ops/MaxPoolWithArgmax" rel="nofollow noreferrer">MaxPoolWithArgmax</a>, <a href="https://www.tensorflow.org/addons/api_docs/python/tfa/layers/MaxUnpooling2D" rel="nofollow noreferrer">MaxUnpooling2D</a>, <a href="https://www.tensorflow.org/api_docs/python/tf/nn/conv2d_transpose" rel="nofollow noreferrer">conv2d_transpose</a>)</p>
  <p>After consulting <a href="https://www.tensorflow.org/lite/guide/ops_custom" rel="nofollow noreferrer">this guide</a>, I see that I'd have to write a kernel and an interface for these ops.</p>
  <p>Is there a way to build tensorflow source without writing custom implementations for these ops since they're already present in the library? The only problem is that the model I'm using has renamed them due to which they're being recognized as custom ops. My goal is to perform inference with this model.</p>
  <p>Edit: These ops are not select ops. They are built-in ops present inside the base library. However, the person who wrote this model renamed them, which makes them custom ops.</p>
  <p>Edit 2: Photo for reference: <a href="https://i.stack.imgur.com/mMc0G.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/mMc0G.png" alt="enter image description here" /></a></p>