Fix test RNG (#7693)

test/test_transforms_v2_consistency.py

@@ -22,6 +22,7 @@ from common_utils import (
     make_image,
     make_images,
     make_segmentation_mask,
+    set_rng_seed,
 )
 from torch import nn
 from torchvision import datapoints, transforms as legacy_transforms
@@ -35,6 +36,12 @@ from torchvision.transforms.v2.utils import query_spatial_size
 DEFAULT_MAKE_IMAGES_KWARGS = dict(color_spaces=["RGB"], extra_dims=[(4,)])
 
 
+@pytest.fixture(autouse=True)
+def fix_rng_seed():
+    set_rng_seed(0)
+    yield
+
+
 class NotScriptableArgsKwargs(ArgsKwargs):
     """
     This class is used to mark parameters that render the transform non-scriptable. They still work in eager mode and

test/test_transforms_v2_refactored.py

@@ -21,6 +21,7 @@ from common_utils import (
     make_image,
     make_segmentation_mask,
     make_video,
+    set_rng_seed,
 )
 from torch.testing import assert_close
 from torchvision import datapoints
@@ -28,6 +29,12 @@ from torchvision.transforms.functional import pil_modes_mapping
 from torchvision.transforms.v2 import functional as F
 
 
+@pytest.fixture(autouse=True)
+def fix_rng_seed():
+    set_rng_seed(0)
+    yield
+
+
 def _to_tolerances(maybe_tolerance_dict):
     if not isinstance(maybe_tolerance_dict, dict):
         return dict(rtol=None, atol=None)