specified by `axis[i]`. Negative shifts will roll the elements in the opposite
direction.}]>:$shift,
    Arg<TF_I32OrI64Tensor, [{Dimension must be 0-D or 1-D. `axis[i]` specifies the dimension that the shift
`shift[i]` should occur. If the same axis is referenced more than once, the
total shift for that axis will be the sum of all the shifts that belong to that
axis.}]>:$axis
  );

  let results = (outs

Convex or Concave or Plane on either side, and let CD be its Axis (that
is, the Line which cuts both its Surfaces perpendicularly, and passes
through the Centres of the Spheres,) and in this Axis produced let F and
_f_ be the Foci of the refracted Rays found as above, when the incident
Rays on both sides the Lens are parallel to the same Axis; and upon the
Diameter F_f_ bisected in E, describe a Circle. Suppose now that any

`tf.reduce_join`: `reduction_indices` becomes `axis` * `tf.reduce_logsumexp`:
`reduction_indices` becomes `axis` * `tf.reduce_max`: `reduction_indices`
becomes `axis` * `tf.reduce_mean`: `reduction_indices` becomes `axis` *
`tf.reduce_min`: `reduction_indices` becomes `axis` * `tf.reduce_prod`:
`reduction_indices` becomes `axis` * `tf.reduce_sum`: `reduction_indices`

          name: "N"
          type: "int"
          has_minimum: true
          minimum: 1
        }
        attr {
          name: "T"
          type: "type"
        }
        attr {
          name: "axis"
          type: "int"
          default_value {
            i: 0
          }
        }
      }
      op {
        name: "PartitionedCall"
        input_arg {
          name: "args"