code: def size_v2(input, out_type=None, name=None):
      # pylint: disable=redefined-builtin
      """Returns the size of a tensor."""
      if out_type is None:
          if flags.config().tf_shape_default_int64.value():
              out_type = dtypes.int64
          else:
              out_type = dtypes.int32
      return size(input, name=name, out_type=out_type)
  
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 8 for calling a global function with example usage: size_v2(input, out_type, name) and returns: size