code: def testDepthwiseConv2DFormat(self):
      for index, (
          input_size,
          filter_size,
          _,
          stride,
          padding,
      ) in enumerate(ConfigsToTest()):
          print(
              "Testing DepthwiseConv2DFormat,",
              index,
              "th config:",
              input_size,
              "*",
              filter_size,
              "stride:",
              stride,
              "padding:",
              padding,
          )
          for data_type in self.float_types:
              # TODO(phawkins): the reference implementation only supports float32.
              if data_type == np.float32:
                  self._VerifyValues(
                      input_size,
                      filter_size,
                      stride,
                      padding,
                      data_type,
                      data_format="NCHW",
                  )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the DepthwiseConv2DTest obj's underlying member method code with example usage: obj.testDepthwiseConv2DFormat() without return types