code: def testConv2D2x2Depth3ValidBackpropInputDilation2x1(
      self, data_format
  ):
      # The GPU version of this test is not very stable. So adjusting the
      # error threshold to 1e-4.
      self._VerifyValues(
          input_sizes=[1, 3, 2, 3],
          filter_sizes=[2, 2, 3, 3],
          out_backprop_sizes=[1, 1, 1, 3],
          strides=[1, 1],
          dilations=[2, 1],
          padding="VALID",
          data_format_src="NHWC",
          data_format_dst=data_format,
          expected=[
              14,
              32,
              50,
              68,
              86,
              104,
              0,
              0,
              0,
              0,
              0,
              0,
              122,
              140,
              158,
              176,
              194,
              212,
          ],
      )
  
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 16 for calling the Conv2DBackpropInputTest obj's underlying member method code with example usage: obj.testConv2D2x2Depth3ValidBackpropInputDilation2x1(data_format) without return types