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Defined in tensorflow/python/ops/image_ops_impl.py.

Returns image gradients (dy, dx) for each color channel.

Both output tensors have the same shape as the input: [batch_size, h, w, d]. The gradient values are organized so that [I(x+1, y) - I(x, y)] is in location (x, y). That means that dy will always have zeros in the last row, and dx will always have zeros in the last column.


  • image: Tensor with shape [batch_size, h, w, d].


Pair of tensors (dy, dx) holding the vertical and horizontal image gradients (1-step finite difference).


  • ValueError: If image is not a 4D tensor.