code: def testConv3D2x2Depth3ValidBackpropFilterStride1x1Dilation2x1(self):
      if test.is_gpu_available(cuda_only=True):
          for data_format, use_gpu in GetTestConfigs():
              self._RunAndVerifyBackprop(
                  input_sizes=[1, 3, 6, 1, 1],
                  filter_sizes=[2, 2, 1, 1, 1],
                  output_sizes=[1, 1, 5, 1, 1],
                  strides=[1, 1, 1],
                  dilations=[2, 1, 1],
                  padding="VALID",
                  data_format=data_format,
                  use_gpu=use_gpu,
                  err=1e-5,
                  mode="filter",
              )
  
imports: import math
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util.compat import collections_abc
  from tensorflow.python.eager import context
label_desc: Use image node_id 43 for calling the Conv3DTest obj's underlying member method code with example usage: obj.testConv3D2x2Depth3ValidBackpropFilterStride1x1Dilation2x1() without return types