Mark failig Conv1D padding test as xfail. Internal Ticket AIR-13336

Regression in Neutron Software 2.1.x, when Conv1D padding is used with kernel size (1,).

Author: robert-kalmar

backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py

@@ -76,7 +76,18 @@ def test_conv1d_quant_conversion(stride, dilation, kernel_size, mocker):
 
 @pytest.mark.parametrize("stride", [1, 2])
 @pytest.mark.parametrize("dilation", [2, 1])
-@pytest.mark.parametrize("kernel_size", [(1,), (3,)])
+@pytest.mark.parametrize(
+    "kernel_size",
+    [
+        pytest.param(
+            (1,),
+            marks=pytest.mark.xfail(
+                reason="Regression in Neutron SW 2.1.x (AIR-13336)", strict=True
+            ),
+        ),
+        (3,),
+    ],
+)
 @pytest.mark.parametrize("padding", [(1,), 2])
 def test_conv1d_quant_conversion__padded(
     stride, dilation, kernel_size, padding, mocker
@@ -179,7 +190,18 @@ def test_conv1d_quant_conversion__depthwise(stride, dilation, kernel_size, mocke
 
 @pytest.mark.parametrize("stride", [1, 2])
 @pytest.mark.parametrize("dilation", [2, 1])
-@pytest.mark.parametrize("kernel_size", [(1,), (3,)])
+@pytest.mark.parametrize(
+    "kernel_size",
+    [
+        pytest.param(
+            (1,),
+            marks=pytest.mark.xfail(
+                reason="Regression in Neutron SW 2.1.x (AIR-13336)", strict=True
+            ),
+        ),
+        (3,),
+    ],
+)
 @pytest.mark.parametrize("padding", [(1,), 2])
 def test_conv1d_quant_conversion__depthwise__padded(
     stride, dilation, kernel_size, padding, mocker