return true;
    }
  }
  return false;
}

// Returns whether the current op is not supported by the TF Lite runtime.
static bool IsUnsupportedFlexOp(const std::string& op_name) {
  return op_name == "PartitionedCall" || op_name == "StatefulPartitionedCall";
}

// Create description of operation that could not be converted.
static std::string GetOpDescriptionForDebug(Operation* inst) {

  }

  auto get_full_op_name = [&](const std::string& op_name) {
    const char* kTfPrefix = "tf.";
    return kTfPrefix + op_name;
  };

  std::string op_name = get_full_op_name(node_type_name);
  if (back_edge_node_output_.contains(&node)) {
    op_name = op_name + ".sink";
  }

  mlir::OperationState result(GetLocation(node), op_name);
  for (int i = 0; i < node.num_outputs(); ++i) {

    # Convolution ouside the while op is quantized.
    self.assertTrue(
        self._contains_op(
            output_graphdef,
            op_name='XlaConvV2',
            attr_name='RhsT',
            attr_val=attr_value_pb2.AttrValue(type=types_pb2.DT_INT8),
        )
    )
    # TODO: b/294783597 - [Converter][TF-Quantizer] Support quantization for the

  status->status = MessageToBuffer(def, output_graph_def);
}

void TF_GraphGetOpDef(TF_Graph* graph, const char* op_name,
                      TF_Buffer* output_op_def, TF_Status* status) {
  const OpDef* op_def;
  {
    mutex_lock l(graph->mu);
    status->status = graph->graph.op_registry()->LookUpOpDef(op_name, &op_def);
    if (!status->status.ok()) return;
  }
  status->status = MessageToBuffer(*op_def, output_op_def);

        %handle1 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "some_name", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>
        // expected-remark@above {{ID: 0}}
        %handle2 = "tf.HashTableV2"() {container = "", device = "", key_dtype = !tf_type.string, shared_name = "some_name", use_node_name_sharing = false, value_dtype = i64} : () -> tensor<!tf_type.resource>