Tensorflow predicting same value for every row I have a trained model. For single prediction I restore the last checkpoint and pass a single image for prediction but the result is the same for every row. Does anyone have a clue of what might be wrong?

This is the code for prediction: 



And this is the output:
I think I found the problem. I need my input to have shape of (1, 256, 256, 1), thats why I performed image = image[...,0][...,None]/255 but doing so changed all the values to 0