ML authoring is generally discouraged.
    *   Add support for unsigned 16-bit integer tensor types in cast op.
    *   Experimental support for lowering `list_ops.tensor_list_set_item` with
        `DynamicUpdateSlice`.
    *   Enabled a new MLIR-based dynamic range quantization backend by default
        *   The new backend is used for post-training int8 dynamic range

  let summary = [{
Outputs deterministic pseudorandom random integers from a uniform distribution.
  }];

  let description = [{
The generated values are uniform integers covering the whole range of `dtype`.

The outputs are a deterministic function of `shape` and `seed`.
  }];

  let arguments = (ins
    Arg<TF_I32OrI64Tensor, [{The shape of the output tensor.}]>:$shape,