code: def _dimension_tensor_conversion_function(
      d, dtype=None, name=None, as_ref=False
  ):
      """Function to convert Dimension to Tensor."""
      _ = as_ref
      if d.value is None:
          raise ValueError(
              f"Cannot convert unknown Dimension {d} to a Tensor."
          )
      if dtype is not None:
          if dtype not in (dtypes.int32, dtypes.int64):
              raise TypeError(
                  f"Cannot convert Dimension {d} to dtype {dtype}. "
                  "Allowed dtypes are tf.int32 and tf.int64."
              )
      else:
          dtype = dtypes.int32
      if name is None:
          name = "shape_as_tensor"
      return constant(d.value, dtype=dtype, name=name)
  
imports: from typing import Union
  import numpy
  from tensorflow.core.framework import types_pb2
  from tensorflow.core.protobuf import struct_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import execute
  from tensorflow.python.framework import constant_tensor_conversion
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_conversion_registry
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.profiler import trace
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 11 for calling a global function with example usage: _dimension_tensor_conversion_function(d, dtype, name, as_ref) and returns: constant