code: def testConv2D1x1Filter(self, data_format, op_name):
      expected_output = np.reshape(
          [
              30.0,
              36.0,
              42.0,
              66.0,
              81.0,
              96.0,
              102.0,
              126.0,
              150.0,
              138.0,
              171.0,
              204.0,
              174.0,
              216.0,
              258.0,
              210.0,
              261.0,
              312.0,
          ],
          [1, 2, 3, 3],
      )
      self._VerifyValues(
          input_sizes=[1, 2, 3, 3],
          filter_sizes=[1, 1, 3, 3],
          strides=[1, 1],
          padding="VALID",
          data_format_src="NHWC",
          data_format_dst=data_format,
          expected=expected_output,
          op_name=op_name,
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import test_utils
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling the Conv2DTest obj's underlying member method code with example usage: obj.testConv2D1x1Filter(data_format, op_name) without return types