code: def testPadNegative(self):
      for dtype in self.numeric_types:
  
          def pad_fn(x):
              return xla.pad(
                  x,
                  padding_value=7,
                  padding_low=[0, -1],
                  padding_high=[1, -2],
                  padding_interior=[1, 2],
              )
  
          self._assertOpOutputMatchesExpected(
              pad_fn,
              args=(
                  np.arange(6, dtype=np.int32)
                  .astype(dtype)
                  .reshape([2, 3]),
              ),
              expected=np.array(
                  [
                      [7, 7, 1, 7],
                      [7, 7, 7, 7],
                      [7, 7, 4, 7],
                      [7, 7, 7, 7],
                  ],
                  dtype=dtype,
              ),
          )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 14 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.testPadNegative() and returns: xla