op {
  graph_op_name: "ResourceScatterMax"
  in_arg {
    name: "resource"
    description: <<END
Should be from a `Variable` node.
END
  }
  in_arg {
    name: "indices"
    description: <<END
A tensor of indices into the first dimension of `ref`.
END
  }
  in_arg {
    name: "updates"
    description: <<END
A tensor of updated values to add to `ref`.
END
  }
  summary: "Reduces sparse updates into the variable referenced by `resource` using the `max` operation."
  description: <<END
This operation computes

    # Scalar indices
    ref[indices, ...] = max(ref[indices, ...], updates[...])

    # Vector indices (for each i)
    ref[indices[i], ...] = max(ref[indices[i], ...], updates[i, ...])

    # High rank indices (for each i, ..., j)
    ref[indices[i, ..., j], ...] = max(ref[indices[i, ..., j], ...], updates[i, ..., j, ...])

Duplicate entries are handled correctly: if multiple `indices` reference
the same location, their contributions are combined.

Requires `updates.shape = indices.shape + ref.shape[1:]` or `updates.shape = []`.

<div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;">
<img style="width:100%" src='https://www.tensorflow.org/images/ScatterAdd.png' alt>
</div>
END
}