%0 = "tf.Const"() {value = dense<"Arguments to from_row_splits do not form a valid RaggedTensor:zero"> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>

`result[i] = range(starts[i], limits[i], deltas[i])`.

```python
(rt_nested_splits, rt_dense_values) = ragged_range(
      starts=[2, 5, 8], limits=[3, 5, 12], deltas=1)
result = tf.ragged.from_row_splits(rt_dense_values, rt_nested_splits)
print(result)
<tf.RaggedTensor [[2], [], [8, 9, 10, 11]] >
```

The input tensors `starts`, `limits`, and `deltas` may be scalars or vectors.