title: Getting issue while calling Model predict function on Keras for Numpy multi dimension array
body: <p>Code prediction working for h5 simple predict()</p>
  <p><a href="https://i.stack.imgur.com/zhiu9.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/zhiu9.png" alt="" /></a></p>
  <p>Same model giving error while doing numpy array row wise lambda call</p>
  <p><a href="https://i.stack.imgur.com/IcOl3.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/IcOl3.png" alt="" /></a></p>
  <p>Keras model trained for timeseries problem with sliding window approach where based on past 60 timesteps, i am generating the 61st timestamp value for multi dimension (4 features). Simple model.predict() is working fine. Test Data is in numpy.array format.
  But i am looking to optimize this predict call and thinking maybe np.apply_along_axis function would give better performance with parallel operation.</p>