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adjust tolerance criteria for test_float16_inference in unit test #11809

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Merged
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Jun 26, 2025
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adjust tolerance criteria for test_float16_inference in unit test #11809

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33 changes: 32 additions & 1 deletion tests/pipelines/amused/test_amused_inpaint.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,7 @@
from diffusers import AmusedInpaintPipeline, AmusedScheduler, UVit2DModel, VQModel
from diffusers.utils import load_image
from diffusers.utils.testing_utils import (
Expectations,
enable_full_determinism,
require_torch_accelerator,
slow,
Expand Down Expand Up @@ -246,5 +247,35 @@ def test_amused_512_fp16(self):
image_slice = image[0, -3:, -3:, -1].flatten()

assert image.shape == (1, 512, 512, 3)
expected_slice = np.array([0.0227, 0.0157, 0.0098, 0.0213, 0.0250, 0.0127, 0.0280, 0.0380, 0.0095])
expected_slices = Expectations(
{
("xpu", 3): np.array(
[
0.0274,
0.0211,
0.0154,
0.0257,
0.0299,
0.0170,
0.0326,
0.0420,
0.0150,
]
),
("cuda", 7): np.array(
[
0.0227,
0.0157,
0.0098,
0.0213,
0.0250,
0.0127,
0.0280,
0.0380,
0.0095,
]
),
}
)
expected_slice = expected_slices.get_expectation()
assert np.abs(image_slice - expected_slice).max() < 0.003
2 changes: 1 addition & 1 deletion tests/pipelines/test_pipelines_common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1396,7 +1396,7 @@ def test_float16_inference(self, expected_max_diff=5e-2):

output_fp16 = pipe_fp16(**fp16_inputs)[0]
max_diff = numpy_cosine_similarity_distance(output.flatten(), output_fp16.flatten())
assert max_diff < 2e-4
assert max_diff < 1e-2

@unittest.skipIf(torch_device not in ["cuda", "xpu"], reason="float16 requires CUDA or XPU")
@require_accelerator
Expand Down