NXP backend: Make setUpClass placement consistent across unit tests

Author: StrycekSimon

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

@@ -27,6 +27,11 @@
 class TestTanhConverter(unittest.TestCase):
     __test__ = False  # Prevent interfering with PyTest tests
 
+    @classmethod
+    def setUpClass(cls):
+        torch.manual_seed(23)
+        np.random.seed(23)
+
     @parameterized.expand(
         input=[
             (
@@ -78,8 +83,3 @@ def test_conv_tanh(
                 input_data=input_data,
                 atol=2.0,
             )
-
-    @classmethod
-    def setUpClass(cls):
-        torch.manual_seed(23)
-        np.random.seed(23)

backends/nxp/tests/test_per_channel_conversion.py

@@ -103,6 +103,11 @@ def get_anchors(
 class TestPerChannelConversion(unittest.TestCase):
     __test__ = False  # Prevent interfering with PyTest tests
 
+    @classmethod
+    def setUpClass(cls):
+        torch.manual_seed(25)
+        np.random.seed(25)
+
     def test_per_channel_convolution(self):
         with kgb.spy_on(
             EdgeProgramToIRConverter.convert_program, call_original=True
@@ -146,8 +151,3 @@ def test_per_channel_convolution(self):
                 "quantized_decomposed.dequantize_per_channel.default"
             )
             assert nodes[10].name == "aten_convolution_default"
-
-    @classmethod
-    def setUpClass(cls):
-        torch.manual_seed(25)
-        np.random.seed(25)

backends/nxp/tests/test_removing_dead_code.py

@@ -33,6 +33,11 @@ def forward(self, x):
 class TestRemovingDeadCode(unittest.TestCase):
     __test__ = False  # Prevent interfering with PyTest tests
 
+    @classmethod
+    def setUpClass(cls):
+        torch.manual_seed(23)
+        np.random.seed(23)
+
     def test_removing_dead_code(self):
         input_shape = (42,)
         example_inputs = (torch.ones(input_shape),)
@@ -55,8 +60,3 @@ def test_removing_dead_code(self):
         assert not any(
             "add" in str(node.target) for node in exir_program_aten_quant.graph.nodes
         )
-
-    @classmethod
-    def setUpClass(cls):
-        torch.manual_seed(23)
-        np.random.seed(23)