message: TST: add input_data
diff: @@ -337,18 +337,21 @@ class Conv3DTransposeTest(test.TestCase):
  self.assertEqual(layer.bias.constraint, b_constraint)
  def test_conv3dtranspose_dynamic_shape(self):
  + input_data = np.random.random((1, 3, 3, 3, 3))
  with self.session(use_gpu=True):
  # Won't raise error here.
  testing_utils.layer_test(
  keras.layers.Conv3DTranspose,
  kwargs={'data_format': 'channels_first',
  'filters': 3, 'kernel_size': 3},
  - input_shape=(None, 1, None, None, None))
  + input_shape=(None, 3, None, None, None),
  + input_data=input_data)
  testing_utils.layer_test(
  keras.layers.Conv3DTranspose,
  kwargs={'data_format': 'channels_last',
  'filters': 3, 'kernel_size': 3},
  - input_shape=(None, None, None, None, 1))
  + input_shape=(None, None, None, None, 3),
  + input_data=input_data)
  class SeparableConv1DTest(test.TestCase):
  @@ -572,18 +575,21 @@ class Conv3DTest(test.TestCase):
  self.assertEqual(layer.bias.constraint, b_constraint)
  def test_conv3d_dynamic_shape(self):
  + input_data = np.random.random((1, 3, 3, 3, 3))
  with self.session(use_gpu=True):
  # Won't raise error here.
  testing_utils.layer_test(
  keras.layers.Conv3D,
  kwargs={'data_format': 'channels_first',
  'filters': 3, 'kernel_size': 3},
  - input_shape=(None, 1, None, None, None))
  + input_shape=(None, 3, None, None, None),
  + input_data=input_data)
  testing_utils.layer_test(
  keras.layers.Conv3D,
  kwargs={'data_format': 'channels_last',
  'filters': 3, 'kernel_size': 3},
  - input_shape=(None, None, None, None, 1))
  + input_shape=(None, None, None, None, 3),
  + input_data=input_data)
  class ZeroPaddingTest(test.TestCase):
  