Add slow attr to heavy Laplacian tests

Signed-off-by: Kamil Tokarski <ktokarski@nvidia.com>

Author: stiepan

dali/test/python/test_operator_laplacian.py

@@ -21,6 +21,7 @@
 from scipy.ndimage import convolve1d, filters as sp_filters
 import os
 from nose_utils import assert_raises
+from nose.plugins.attrib import attr
 
 from test_utils import get_dali_extra_path, check_batch, RandomlyShapedDataIterator
 
@@ -194,6 +195,14 @@ def _test_vs_open_cv(device, batch_size, window_size, in_type, out_type, normali
 
 
 def test_vs_open_cv():
+    batch_size = 10
+    for device in ["cpu", "gpu"]:
+        for window_size in range(1, 13, 2):
+            yield _test_vs_open_cv, device, batch_size, window_size, types.UINT8, None, False, False
+
+
+@attr('slow')
+def test_vs_open_cv_slow():
     batch_size = 10
     for device in ["cpu", "gpu"]:
         for normalize in [True, False]:
@@ -431,7 +440,19 @@ def check_per_sample_laplacian(device, batch_size, window_dim, smoothing_dim, no
 def test_per_sample_laplacian():
     batch_size = 10
     for device in ["cpu", "gpu"]:
-        for in_type in [np.uint8, np.int16, np.int32, np.float32]:
+        for in_type in [np.uint8]:
+            for out_type in [None, np.float32]:
+                for shape, layout, axes in shape_layout_axes_cases:
+                    for normalize in [True, False]:
+                        yield check_per_sample_laplacian, device, batch_size, 1, 1, \
+                            normalize, shape, layout, axes, in_type, out_type
+
+
+@attr('slow')
+def test_per_sample_laplacian_slow():
+    batch_size = 10
+    for device in ["cpu", "gpu"]:
+        for in_type in [np.int16, np.int32, np.float32]:
             for out_type in [None, np.float32]:
                 for shape, layout, axes in shape_layout_axes_cases:
                     for window_dim in [None, 0, 1]:
@@ -490,6 +511,7 @@ def pipeline():
                     max_allowed_error=max_error, expected_layout=layout)
 
 
+@attr('slow')
 def test_fixed_params_laplacian():
     batch_size = 10
     window_size_cases = {