code: def _eager_identity(tensor, ctx):
      """Eager-only version of Identity op; requires tensor is an eager Tensor."""
      attrs = ("T", tensor.dtype.as_datatype_enum)
      [result] = execute.execute(
          b"Identity", 1, inputs=[tensor], attrs=attrs, ctx=ctx
      )
      return result
  
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 3 for calling a global function with example usage: _eager_identity(tensor, ctx) and returns: result