code: def _dynamic_ragged_shape_init(fields, shape, nrows, row_partitions):
      """Produce a DynamicRaggedShape for StructuredTensor."""
      assert isinstance(fields, dict), fields
      assert isinstance(shape, tensor_shape.TensorShape), shape
      assert nrows is None or isinstance(nrows, tensor.Tensor), nrows
      assert isinstance(row_partitions, tuple), row_partitions
  
      rank = shape.rank
      if rank is None:
          raise TypeError(
              "StructuredTensor's shape must have known rank."
          )
  
      # TODO(martinz): figure out whether to validate.
      dtype = _find_shape_dtype(fields, nrows, row_partitions)
      if rank == 0:
          return (
              dynamic_ragged_shape.DynamicRaggedShape._from_inner_shape(
                  array_ops.zeros((0,), dtype=dtype)
              )
          )
  
      if rank == 1:
          alt_value = shape[0]
          if isinstance(alt_value, tensor_shape.Dimension):
              alt_value = alt_value.value
          if alt_value is not None:
              nrows = alt_value
          return (
              dynamic_ragged_shape.DynamicRaggedShape._from_inner_shape(
                  [nrows], dtype=dtype
              )
          )
  
      return (
          dynamic_ragged_shape.DynamicRaggedShape.from_row_partitions(
              row_partitions, dtype=dtype
          )
      )
  
imports: from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.ragged import dynamic_ragged_shape
  from tensorflow.python.ops.structured.structured_tensor import _find_shape_dtype
label_desc: Use image node_id 1 for calling a global function with example usage: _dynamic_ragged_shape_init(fields, shape, nrows, row_partitions) and returns: dynamic_ragged_shape, dynamic_ragged_shape, dynamic_ragged_shape