title: How to stride over multiple channels in conv2d of TensorFlow?
body: <p>I have a RGB colour image, which i was trying to train using conv2d. As per CNN each filter should stride over all channels of input. But while following this rule in TF i got an error</p>
  
  <pre><code>InvalidArgumentError: Current implementation does not yet support strides in the batch and depth dimensions.
  </code></pre>
  
  <p>From <a href="https://github.com/Hvass-Labs/TensorFlow-Tutorials/issues/19" rel="nofollow noreferrer">this</a> discussion, it seems TF supports only one increment along input channels in conv2d. So my question is<br><strong>1. Is there any way i could stride over multiple channels in TF ?</strong> <br> <strong>2. will it be a correct procedure to use default stride(i.e 1) over RGB Image?</strong></p>