code: def zeros_like_v2(
      input, dtype=None, name=None, layout=None
  ):  # pylint: disable=redefined-builtin
      """Replace every object with a zero.
  
      Example:
      >>> st = StructuredTensor.from_pyval([{"x":[3]}, {"x":[4,5]}])
      >>> tf.zeros_like(st)
      <tf.Tensor: shape=(2,), dtype=int32, numpy=array([0.0, 0.0], dtype=float32)>
      >>> st = StructuredTensor.from_pyval([[{"x":[3]}], [{"x":[4,5]}, {"x":[]}]])
      >>> tf.zeros_like(st, dtype=tf.int32)
      <tf.RaggedTensor [[0], [0, 0]]>
  
      Args:
        input: a structured tensor.
        dtype: the dtype of the resulting zeros. (default is tf.float32)
        name: a name for the op.
        layout: Optional Layout. Only supports replicated layout.
  
      Returns:
        a tensor of zeros of the same shape.
      """
      if layout is not None and not layout.is_fully_replicated():
          raise ValueError(
              f"StructuredTensor only allows replicated layout. got {layout}"
          )
      if dtype is None:
          dtype = dtypes.float32
      with ops.name_scope(name, "zeros_like", [input]) as name:
          if not input.row_partitions:
              if input.nrows() is not None:
                  return array_ops.zeros(
                      [input.nrows()], dtype, layout=layout
                  )  # vector.
              else:
                  return array_ops.zeros(
                      [], dtype, layout=layout
                  )  # scalar.
          # 2D and up.
          last_row_partition = input.row_partitions[-1]
  
          result = (
              ragged_tensor.RaggedTensor._from_nested_row_partitions(
                  array_ops.zeros(
                      last_row_partition.nvals(), dtype=dtype
                  ),
                  input.row_partitions,
              )
          )
          return result
  
imports: from typing import Sequence
  from tensorflow.core.config import flags
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops.ragged import dynamic_ragged_shape
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged.row_partition import RowPartition
  from tensorflow.python.ops.structured.structured_tensor import StructuredTensor
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import dispatch
label_desc: Use image node_id 11 for calling a global function with example usage: zeros_like_v2(input, dtype, name, layout) and returns: result, array_ops, array_ops