code: def _tensor_to_grad_debug_op_name(tensor, grad_debugger_uuid):
      op_name, slot = debug_graphs.parse_node_or_tensor_name(
          tensor.name
      )
      return "%s_%d/%s%s" % (
          op_name,
          slot,
          _GRADIENT_DEBUG_TAG,
          grad_debugger_uuid,
      )
  
imports: import re
  import uuid
  from tensorflow.python.debug.lib import debug_data
  from tensorflow.python.debug.lib import debug_graphs
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import variables
label_desc: Use image node_id 1 for calling a global function with example usage: _tensor_to_grad_debug_op_name(tensor, grad_debugger_uuid) and returns: unknown