remove temporary skips in favor of increased tolerances (#7355)

test/transforms_v2_kernel_infos.py

@@ -79,20 +79,20 @@ class KernelInfo(InfoBase):
         self.logs_usage = logs_usage
 
 
-def _pixel_difference_closeness_kwargs(uint8_atol, *, dtype=torch.uint8, mae=False):
+def pixel_difference_closeness_kwargs(uint8_atol, *, dtype=torch.uint8, mae=False):
     return dict(atol=uint8_atol / 255 * get_max_value(dtype), rtol=0, mae=mae)
 
 
 def cuda_vs_cpu_pixel_difference(atol=1):
     return {
-        (("TestKernels", "test_cuda_vs_cpu"), dtype, "cuda"): _pixel_difference_closeness_kwargs(atol, dtype=dtype)
+        (("TestKernels", "test_cuda_vs_cpu"), dtype, "cuda"): pixel_difference_closeness_kwargs(atol, dtype=dtype)
         for dtype in [torch.uint8, torch.float32]
     }
 
 
 def pil_reference_pixel_difference(atol=1, mae=False):
     return {
-        (("TestKernels", "test_against_reference"), torch.uint8, "cpu"): _pixel_difference_closeness_kwargs(
+        (("TestKernels", "test_against_reference"), torch.uint8, "cpu"): pixel_difference_closeness_kwargs(
             atol, mae=mae
         )
     }
@@ -104,7 +104,7 @@ def float32_vs_uint8_pixel_difference(atol=1, mae=False):
             ("TestKernels", "test_float32_vs_uint8"),
             torch.float32,
             "cpu",
-        ): _pixel_difference_closeness_kwargs(atol, dtype=torch.float32, mae=mae)
+        ): pixel_difference_closeness_kwargs(atol, dtype=torch.float32, mae=mae)
     }
 
 
@@ -1925,9 +1925,6 @@ def sample_inputs_adjust_contrast_video():
         yield ArgsKwargs(video_loader, contrast_factor=_ADJUST_CONTRAST_FACTORS[0])
 
 
-# TODO: this is just temporary to make CI green for release. We should add proper tolerances after
-skip_adjust_contrast_jit = TestMark(("TestKernels", "test_scripted_vs_eager"), pytest.mark.skip(reason="Test is flaky"))
-
 KERNEL_INFOS.extend(
     [
         KernelInfo(
@@ -1941,14 +1938,16 @@ KERNEL_INFOS.extend(
                 **pil_reference_pixel_difference(),
                 **float32_vs_uint8_pixel_difference(2),
                 **cuda_vs_cpu_pixel_difference(),
+                (("TestKernels", "test_against_reference"), torch.uint8, "cpu"): pixel_difference_closeness_kwargs(1),
             },
-            test_marks=[skip_adjust_contrast_jit],
         ),
         KernelInfo(
             F.adjust_contrast_video,
             sample_inputs_fn=sample_inputs_adjust_contrast_video,
-            closeness_kwargs=cuda_vs_cpu_pixel_difference(),
-            test_marks=[skip_adjust_contrast_jit],
+            closeness_kwargs={
+                **cuda_vs_cpu_pixel_difference(),
+                (("TestKernels", "test_against_reference"), torch.uint8, "cpu"): pixel_difference_closeness_kwargs(1),
+            },
         ),
     ]
 )
@@ -2064,9 +2063,6 @@ def sample_inputs_adjust_saturation_video():
         yield ArgsKwargs(video_loader, saturation_factor=_ADJUST_SATURATION_FACTORS[0])
 
 
-# TODO: this is just temporary to make CI green for release. We should add proper tolerances after
-skip_adjust_saturation_cuda = TestMark(("TestKernels", "test_cuda_vs_cpu"), pytest.mark.skip(reason="Test is flaky"))
-
 KERNEL_INFOS.extend(
     [
         KernelInfo(
@@ -2079,13 +2075,13 @@ KERNEL_INFOS.extend(
             closeness_kwargs={
                 **pil_reference_pixel_difference(),
                 **float32_vs_uint8_pixel_difference(2),
+                **cuda_vs_cpu_pixel_difference(),
             },
-            test_marks=[skip_adjust_saturation_cuda],
         ),
         KernelInfo(
             F.adjust_saturation_video,
             sample_inputs_fn=sample_inputs_adjust_saturation_video,
-            test_marks=[skip_adjust_saturation_cuda],
+            closeness_kwargs=cuda_vs_cpu_pixel_difference(),
         ),
     ]
 )