code: def testGradient(self):
      with self.session(), self.test_scope():
          for padding in ["SAME", "VALID"]:
              for stride in [1, 2]:
                  np.random.seed(1)
                  in_shape = [2, 4, 3, 3, 2]
                  in_val = constant_op.constant(
                      2 * np.random.random_sample(in_shape) - 1,
                      dtype=dtypes.float32,
                  )
                  filter_shape = [3, 3, 3, 2, 3]
                  strides = [1, stride, stride, stride, 1]
                  # Make a convolution op with the current settings, just to easily get
                  # the shape of the output.
                  conv_out = nn_ops.conv3d(
                      in_val,
                      array_ops.zeros(filter_shape),
                      strides,
                      padding,
                  )
                  out_backprop_shape = conv_out.get_shape().as_list()
                  out_backprop_val = constant_op.constant(
                      2 * np.random.random_sample(out_backprop_shape)
                      - 1,
                      dtype=dtypes.float32,
                  )
                  output = nn_ops.conv3d_backprop_filter_v2(
                      in_val,
                      filter_shape,
                      out_backprop_val,
                      strides,
                      padding,
                  )
                  err = gradient_checker.compute_gradient_error(
                      [in_val, out_backprop_val],
                      [in_shape, out_backprop_shape],
                      output,
                      filter_shape,
                  )
                  print(
                      "conv3d_backprop_filter gradient err = %g " % err
                  )
                  err_tolerance = 1e-3
                  self.assertLess(err, err_tolerance)
  
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 constant_op
  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 gradient_checker
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 1 for calling the Conv3DBackpropFilterV2GradTest obj's underlying member method code with example usage: obj.testGradient() without return types