Hopefully fix cuda test

test/test_transforms_v2_refactored.py

@@ -16,6 +16,7 @@
     assert_no_warnings,
     cache,
     cpu_and_cuda,
+    freeze_rng_state,
     ignore_jit_no_profile_information_warning,
     make_bounding_box,
     make_detection_mask,
@@ -61,8 +62,10 @@ def _check_kernel_cuda_vs_cpu(kernel, input, *args, rtol, atol, **kwargs):
     input_cuda = input.as_subclass(torch.Tensor)
     input_cpu = input_cuda.to("cpu")
 
-    actual = kernel(input_cuda, *args, **kwargs)
-    expected = kernel(input_cpu, *args, **kwargs)
+    with freeze_rng_state():
+        actual = kernel(input_cuda, *args, **kwargs)
+    with freeze_rng_state():
+        expected = kernel(input_cpu, *args, **kwargs)
 
     assert_close(actual, expected, check_device=False, rtol=rtol, atol=atol)
 
@@ -1772,11 +1775,11 @@ def test_cpu_vs_gpu(self, T):
         batch_size = 3
         H, W = 12, 12
 
-        imgs = torch.rand(batch_size, 3, H, W).to("cuda")
-        labels = torch.randint(0, num_classes, (batch_size,)).to("cuda")
+        imgs = torch.rand(batch_size, 3, H, W)
+        labels = torch.randint(0, num_classes, (batch_size,))
         cutmix_mixup = T(alpha=0.5, num_classes=num_classes)
 
-        _check_kernel_cuda_vs_cpu(cutmix_mixup, input=(imgs, labels), rtol=None, atol=None)
+        _check_kernel_cuda_vs_cpu(cutmix_mixup, imgs, labels, rtol=None, atol=None)
 
     @pytest.mark.parametrize("T", [transforms.Cutmix, transforms.Mixup])
     def test_error(self, T):