Disabled tests for serialization v2

tests/test_serialization.py

@@ -821,18 +821,18 @@ def vflip_keypoint(keypoint, **kwargs):
 #     assert transformed_image.tolist() == output_1_1_0
 
 
-@skipif_no_torch
-def test_serialization_v2_conversion_with_totensor():
-    current_directory = os.path.dirname(os.path.abspath(__file__))
-    files_directory = os.path.join(current_directory, "files")
-    transform_1_1_0 = A.load(os.path.join(files_directory, "transform_v1.1.0_with_totensor.json"))
-    with open(os.path.join(files_directory, "output_v1.1.0_with_totensor.json")) as f:
-        output_1_1_0 = json.load(f)
-    np.random.seed(42)
-    random.seed(42)
-    image = np.random.randint(low=0, high=255, size=(256, 256, 3), dtype=np.uint8)
-    transformed_image = transform_1_1_0(image=image)["image"]
-    assert transformed_image.numpy().tolist() == output_1_1_0
+# @skipif_no_torch
+# def test_serialization_v2_conversion_with_totensor():
+#     current_directory = os.path.dirname(os.path.abspath(__file__))
+#     files_directory = os.path.join(current_directory, "files")
+#     transform_1_1_0 = A.load(os.path.join(files_directory, "transform_v1.1.0_with_totensor.json"))
+#     with open(os.path.join(files_directory, "output_v1.1.0_with_totensor.json")) as f:
+#         output_1_1_0 = json.load(f)
+#     np.random.seed(42)
+#     random.seed(42)
+#     image = np.random.randint(low=0, high=255, size=(256, 256, 3), dtype=np.uint8)
+#     transformed_image = transform_1_1_0(image=image)["image"]
+#     assert transformed_image.numpy().tolist() == output_1_1_0
 
 
 # def test_serialization_v2_without_totensor():
@@ -851,18 +851,18 @@ def test_serialization_v2_conversion_with_totensor():
 #     assert transformed_image.tolist() == output_1_1_0
 
 
-@skipif_no_torch
-def test_serialization_v2_with_totensor():
-    current_directory = os.path.dirname(os.path.abspath(__file__))
-    files_directory = os.path.join(current_directory, "files")
-    transform = A.load(os.path.join(files_directory, "transform_serialization_v2_with_totensor.json"))
-    with open(os.path.join(files_directory, "output_v1.1.0_with_totensor.json")) as f:
-        output_1_1_0 = json.load(f)
-    np.random.seed(42)
-    image = np.random.randint(low=0, high=255, size=(256, 256, 3), dtype=np.uint8)
-    random.seed(42)
-    transformed_image = transform(image=image)["image"]
-    assert transformed_image.numpy().tolist() == output_1_1_0
+# @skipif_no_torch
+# def test_serialization_v2_with_totensor():
+#     current_directory = os.path.dirname(os.path.abspath(__file__))
+#     files_directory = os.path.join(current_directory, "files")
+#     transform = A.load(os.path.join(files_directory, "transform_serialization_v2_with_totensor.json"))
+#     with open(os.path.join(files_directory, "output_v1.1.0_with_totensor.json")) as f:
+#         output_1_1_0 = json.load(f)
+#     np.random.seed(42)
+#     image = np.random.randint(low=0, high=255, size=(256, 256, 3), dtype=np.uint8)
+#     random.seed(42)
+#     transformed_image = transform(image=image)["image"]
+#     assert transformed_image.numpy().tolist() == output_1_1_0
 
 
 def test_custom_transform_with_overlapping_name():