`num_tokens`.
        *   `Discretization` added `num_bins` argument for learning bins
            boundaries through calling `adapt` on a dataset. Renamed `bins`
            argument to `bin_boundaries` for specifying bins without `adapt`.
    *   Improvements to model saving/loading:
        *   `model.load_weights` now accepts paths to saved models.

  );

  let results = (outs
    Res<TensorOf<[TF_Float32, TF_Float64, TF_Int32, TF_Int64]>, [{1D `Tensor` with length equal to `size`. The counts or summed weights for
each value in the range [0, size).}]>:$bins
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<2>;
}

def TF_BitcastOp : TF_Op<"Bitcast", [Pure]> {
  let summary = [{