`[-rank(value), rank(value))`.}]>:$split_dim,
    Arg<TF_Tensor, [{The tensor to split.}]>:$value
  );

  let results = (outs
    Res<Variadic<TF_Tensor>, [{They are identically shaped tensors, whose shape matches that of `value`
except along `axis`, where their sizes are
`values.shape[split_dim] / num_split`.}]>:$output
  );

`seq_dim` becomes `seq_axis` * `tf.sparse_concat`: `concat_dim` becomes `axis` *
`tf.sparse_reduce_sum`: `reduction_axes` becomes `axis` *
`tf.sparse_reduce_sum_sparse`: `reduction_axes` becomes `axis` *
`tf.sparse_split`: `split_dim` becomes `axis` * `tf.listdiff` has been renamed
to `tf.setdiff1d` to match NumPy naming. * `tf.inv` has been renamed to be
`tf.reciprocal` (component-wise reciprocal) to avoid confusion with `np.inv`