code: def test_add_padding(
      self, start_pad_width, end_pad_width, args, ret_lengths, gc, dc
  ):
      lengths, data, start_padding, end_padding = args
      start_padding = np.array(start_padding, dtype=np.float32)
      end_padding = np.array(end_padding, dtype=np.float32)
      outputs = ["output", "lengths_out"] if ret_lengths else ["output"]
      op = core.CreateOperator(
          "AddPadding",
          ["data", "lengths", "start_padding", "end_padding"],
          outputs,
          padding_width=start_pad_width,
          end_padding_width=end_pad_width,
      )
      self.assertReferenceChecks(
          device_option=gc,
          op=op,
          inputs=[data, lengths, start_padding, end_padding],
          reference=partial(
              _add_padding_ref,
              start_pad_width,
              end_pad_width,
              ret_lengths,
          ),
      )
  
imports: from caffe2.python import core
  from functools import partial
  from hypothesis import given, settings
  import caffe2.python.hypothesis_test_util
  import caffe2.python.serialized_test.serialized_test_util
  import hypothesis.strategies
  import numpy
  import unittest
  from caffe2.python import workspace
label_desc: Use image node_id 1 for calling the TestSequenceOps obj's underlying member method code with example usage: obj.test_add_padding(start_pad_width, end_pad_width, args, ret_lengths, gc, dc) without return types