update tests: paddings ov conv layers are now 'valid'. Start to write additional tests

test/test_model_modules/test_inception_model.py

@@ -44,7 +44,7 @@ class TestInceptionModelBase:
         conv_layer = self.step_in(act_layer)
         assert isinstance(conv_layer, keras.layers.Conv2D)
         assert conv_layer.filters == 32
-        assert conv_layer.padding == 'same'
+        assert conv_layer.padding == 'valid'
         assert conv_layer.kernel_size == (3, 3)
         assert conv_layer.strides == (1, 1)
         assert conv_layer.name == "Block_0a_3x3"
@@ -89,7 +89,7 @@ class TestInceptionModelBase:
         conv_layer = self.step_in(act_layer)
         assert isinstance(conv_layer, keras.layers.Conv2D)
         assert conv_layer.filters == 32
-        assert conv_layer.padding == 'same'
+        assert conv_layer.padding == 'valid'
         assert conv_layer.kernel_size == (1, 1)
         assert conv_layer.strides == (1, 1)
         assert conv_layer.name == "Block_0a_1x1"
@@ -115,7 +115,7 @@ class TestInceptionModelBase:
         conv_layer = self.step_in(act_layer)
         assert isinstance(conv_layer, keras.layers.Conv2D)
         assert conv_layer.filters == 32
-        assert conv_layer.padding == 'same'
+        assert conv_layer.padding == 'valid'
         assert conv_layer.kernel_size == (1, 1)
         assert conv_layer.strides == (1, 1)
         assert conv_layer.name == "Block_0a_1x1"
@@ -172,3 +172,13 @@ class TestInceptionModelBase:
         bn = base.batch_normalisation(input_x)._keras_history[0]
         assert isinstance(bn, keras.layers.normalization.BatchNormalization)
         assert bn.name == "Block_0a_BN"
+
+    def test_padding_layer_zero_padding(self, base, input_x):
+        base.part_of_block += 2
+        padding_size = ((1, 1), (0, 0))
+        zp = base.padding_layer('ZeroPad2D')
+        assert zp.__name__ == 'ZeroPadding2D'
+        zp_ap = zp(padding=padding_size)(input_x)
+        assert zp_ap._keras_history[0].padding == ((1, 1), (0, 0))
+        print('abc')
+