message: Currently eager mode doesn't have support of Conv3D with stride > 1, so we have to disable these tests in eager mode for now.
diff: @@ -32,6 +32,7 @@ from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad # pylint: disable=unused-import
  from tensorflow.python.platform import test
  from tensorflow.python.util.compat import collections_abc
  +from tensorflow.python.eager import context
  def GetTestConfigs():
  @@ -223,7 +224,9 @@ class Conv3DTest(test.TestCase):
  expected=expected_output)
  def testConv3D1x1x1Filter2x1x1Dilation(self):
  - if test.is_gpu_available(cuda_only=True) or test_util.IsMklEnabled():
  + ctx = context.context()
  + is_eager = ctx is not None and ctx._thread_local_data.is_eager
  + if test.is_gpu_available(cuda_only=True) or test_util.IsMklEnabled() and is_eager is False:
  self._VerifyDilatedConvValues(
  tensor_in_sizes=[1, 3, 6, 1, 1],
  filter_in_sizes=[1, 1, 1, 1, 1],
  @@ -248,7 +251,9 @@ class Conv3DTest(test.TestCase):
  expected=expected_output)
  def testConv3D2x2x2Filter1x2x1Dilation(self):
  - if test.is_gpu_available(cuda_only=True) or test_util.IsMklEnabled():
  + ctx = context.context()
  + is_eager = ctx is not None and ctx._thread_local_data.is_eager
  + if test.is_gpu_available(cuda_only=True) or test_util.IsMklEnabled() and is_eager is False:
  self._VerifyDilatedConvValues(
  tensor_in_sizes=[1, 4, 6, 3, 1],
  filter_in_sizes=[2, 2, 2, 1, 1],
  