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adjust to get CI test cases passed on XPU (#11759)

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* adjust to get CI test cases passed on XPU

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* fix format issue

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>

* Apply style fixes

---------

Signed-off-by: Liu, Kaixuan <kaixuan.liu@intel.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Aryan <aryan@huggingface.co>
This commit is contained in:
kaixuanliu
2025-06-25 16:32:17 +08:00
committed by GitHub
parent 80f27d7e8d
commit dd285099eb
4 changed files with 60 additions and 32 deletions
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3
tests/pipelines/kandinsky2_2/test_kandinsky_controlnet.py
View File

@@ -289,6 +289,5 @@ class KandinskyV22ControlnetPipelineIntegrationTests(unittest.TestCase):
image = output.images[0]
assert image.shape == (512, 512, 3)
max_diff = numpy_cosine_similarity_distance(expected_image.flatten(), image.flatten())
assert max_diff < 1e-4
assert max_diff < 2e-4

33
tests/pipelines/ledits_pp/test_ledits_pp_stable_diffusion.py
View File

@@ -29,6 +29,7 @@ from diffusers import (
UNet2DConditionModel,
)
from diffusers.utils.testing_utils import (
Expectations,
backend_empty_cache,
enable_full_determinism,
floats_tensor,
@@ -244,7 +245,35 @@ class LEditsPPPipelineStableDiffusionSlowTests(unittest.TestCase):
output_slice = reconstruction[150:153, 140:143, -1]
output_slice = output_slice.flatten()
expected_slice = np.array(
[0.9453125, 0.93310547, 0.84521484, 0.94628906, 0.9111328, 0.80859375, 0.93847656, 0.9042969, 0.8144531]
expected_slices = Expectations(
{
("xpu", 3): np.array(
[
0.9511719,
0.94140625,
0.87597656,
0.9472656,
0.9296875,
0.8378906,
0.94433594,
0.91503906,
0.8491211,
]
),
("cuda", 7): np.array(
[
0.9453125,
0.93310547,
0.84521484,
0.94628906,
0.9111328,
0.80859375,
0.93847656,
0.9042969,
0.8144531,
]
),
}
)
expected_slice = expected_slices.get_expectation()
assert np.abs(output_slice - expected_slice).max() < 1e-2

6
tests/pipelines/test_pipelines_common.py
View File

@@ -49,6 +49,7 @@ from diffusers.utils.source_code_parsing_utils import ReturnNameVisitor
from diffusers.utils.testing_utils import (
CaptureLogger,
backend_empty_cache,
numpy_cosine_similarity_distance,
require_accelerate_version_greater,
require_accelerator,
require_hf_hub_version_greater,
@@ -1394,9 +1395,8 @@ class PipelineTesterMixin:
fp16_inputs["generator"] = self.get_generator(0)
output_fp16 = pipe_fp16(**fp16_inputs)[0]
max_diff = np.abs(to_np(output) - to_np(output_fp16)).max()
self.assertLess(max_diff, expected_max_diff, "The outputs of the fp16 and fp32 pipelines are too different.")
max_diff = numpy_cosine_similarity_distance(output.flatten(), output_fp16.flatten())
assert max_diff < 2e-4
@unittest.skipIf(torch_device not in ["cuda", "xpu"], reason="float16 requires CUDA or XPU")
@require_accelerator

50
tests/quantization/gguf/test_gguf.py
View File

@@ -286,33 +286,33 @@ class SD35LargeGGUFSingleFileTests(GGUFSingleFileTesterMixin, unittest.TestCase)
{
("xpu", 3): np.array(
[
0.19335938,
0.3125,
0.3203125,
0.1328125,
0.3046875,
0.296875,
0.11914062,
0.2890625,
0.2890625,
0.16796875,
0.30273438,
0.33203125,
0.14648438,
0.31640625,
0.33007812,
0.16210938,
0.2734375,
0.27734375,
0.109375,
0.27148438,
0.2578125,
0.1015625,
0.2578125,
0.2578125,
0.14453125,
0.26953125,
0.29492188,
0.12890625,
0.3046875,
0.30859375,
0.17773438,
0.33789062,
0.33203125,
0.16796875,
0.34570312,
0.32421875,
0.28710938,
0.30078125,
0.11132812,
0.27734375,
0.27929688,
0.15625,
0.33203125,
0.31445312,
0.31054688,
0.296875,
0.15234375,
0.3203125,
0.29492188,
0.140625,
0.3046875,
0.28515625,
]
),
("cuda", 7): np.array(