code: def _tensor_conversion(var, dtype=None, name=None, as_ref=False):
      if as_ref:
          raise ValueError(
              "You may be using variable created under distribute strategy in TF "
              "1.x control flows. Try explicitly converting the variable to Tensor "
              "using variable.read_value(), or switch to TF 2.x."
          )
      return ops.convert_to_tensor(
          var.read_value(), dtype=dtype, name=name, as_ref=as_ref
      )
  
imports: import copy
  import weakref
  from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute import tpu_util
  from tensorflow.python.distribute import values_util
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_conversion_registry
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import variables
label_desc: Use image node_id 1 for calling a global function with example usage: _tensor_conversion(var, dtype, name, as_ref) and returns: ops