[Tests] fix slices of 26 tests (first half) (#8959)

* check for assertions.

* update with correct slices.

* okay

* style

* get it ready

* update

* update

* update

---------
Co-authored-by: Dhruv Nair <dhruv.nair@gmail.com>

tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_inpaint.py

@@ -226,7 +226,8 @@ class StableDiffusionXLInpaintPipelineFastTests(
     def test_ip_adapter_single(self):
         expected_pipe_slice = None
         if torch_device == "cpu":
-            expected_pipe_slice = np.array([0.7971, 0.5371, 0.5973, 0.5642, 0.6689, 0.6894, 0.5770, 0.6063, 0.5261])
+            expected_pipe_slice = np.array([0.8274, 0.5538, 0.6141, 0.5843, 0.6865, 0.7082, 0.5861, 0.6123, 0.5344])
+
         return super().test_ip_adapter_single(expected_pipe_slice=expected_pipe_slice)
 
     def test_components_function(self):
@@ -250,7 +251,7 @@ class StableDiffusionXLInpaintPipelineFastTests(
 
         assert image.shape == (1, 64, 64, 3)
 
-        expected_slice = np.array([0.8029, 0.5523, 0.5825, 0.6003, 0.6702, 0.7018, 0.6369, 0.5955, 0.5123])
+        expected_slice = np.array([0.8279, 0.5673, 0.6088, 0.6156, 0.6923, 0.7347, 0.6547, 0.6108, 0.5198])
 
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
 
@@ -385,7 +386,7 @@ class StableDiffusionXLInpaintPipelineFastTests(
 
         assert image.shape == (1, 64, 64, 3)
 
-        expected_slice = np.array([0.7045, 0.4838, 0.5454, 0.6270, 0.6168, 0.6717, 0.6484, 0.5681, 0.4922])
+        expected_slice = np.array([0.7540, 0.5231, 0.5833, 0.6217, 0.6339, 0.7067, 0.6507, 0.5672, 0.5030])
 
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
 

tests/pipelines/stable_unclip/test_stable_unclip_img2img.py

@@ -182,7 +182,7 @@ class StableUnCLIPImg2ImgPipelineFastTests(
         image_slice = image[0, -3:, -3:, -1]
 
         assert image.shape == (1, 32, 32, 3)
-        expected_slice = np.array([0.3872, 0.7224, 0.5601, 0.4741, 0.6872, 0.5814, 0.4636, 0.3867, 0.5078])
+        expected_slice = np.array([0.4397, 0.7080, 0.5590, 0.4255, 0.7181, 0.5938, 0.4051, 0.3720, 0.5116])
 
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-3
 

tests/pipelines/text_to_video_synthesis/test_text_to_video_zero_sdxl.py

@@ -168,8 +168,12 @@ class TextToVideoZeroSDXLPipelineFastTests(PipelineTesterMixin, PipelineFromPipe
         first_frame_slice = result[0, -3:, -3:, -1]
         last_frame_slice = result[-1, -3:, -3:, 0]
 
-        expected_slice1 = np.array([0.48, 0.58, 0.53, 0.59, 0.50, 0.44, 0.60, 0.65, 0.52])
-        expected_slice2 = np.array([0.66, 0.49, 0.40, 0.70, 0.47, 0.51, 0.73, 0.65, 0.52])
+        expected_slice1 = np.array(
+            [0.6008109, 0.73051643, 0.51778656, 0.55817354, 0.45222935, 0.45998418, 0.57017255, 0.54874814, 0.47078788]
+        )
+        expected_slice2 = np.array(
+            [0.6011751, 0.47420046, 0.41660714, 0.6472957, 0.41261768, 0.5438129, 0.7401535, 0.6756011, 0.53652245]
+        )
 
         assert np.abs(first_frame_slice.flatten() - expected_slice1).max() < 1e-2
         assert np.abs(last_frame_slice.flatten() - expected_slice2).max() < 1e-2

utils/overwrite_expected_slice.py

@@ -76,7 +76,7 @@ def main(correct, fail=None):
 
     done_tests = defaultdict(int)
     for line in correct_lines:
-        file, class_name, test_name, correct_line = line.split(";")
+        file, class_name, test_name, correct_line = line.split("::")
         if test_failures is None or "::".join([file, class_name, test_name]) in test_failures:
             overwrite_file(file, class_name, test_name, correct_line, done_tests)