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enable bria integration test on xpu, passed #12214

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Merged
merged 1 commit into from
Aug 22, 2025
Merged

enable bria integration test on xpu, passed #12214

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12 changes: 6 additions & 6 deletions tests/pipelines/bria/test_pipeline_bria.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,10 +28,10 @@
)
from diffusers.pipelines.bria import BriaPipeline
from diffusers.utils.testing_utils import (
backend_empty_cache,
enable_full_determinism,
numpy_cosine_similarity_distance,
require_accelerator,
require_torch_gpu,
require_torch_accelerator,
slow,
torch_device,
)
Expand Down Expand Up @@ -149,7 +149,7 @@ def test_image_output_shape(self):
assert (output_height, output_width) == (expected_height, expected_width)

@unittest.skipIf(torch_device not in ["cuda", "xpu"], reason="float16 requires CUDA or XPU")
@require_accelerator
@require_torch_accelerator
def test_save_load_float16(self, expected_max_diff=1e-2):
components = self.get_dummy_components()
for name, module in components.items():
Expand Down Expand Up @@ -237,20 +237,20 @@ def test_torch_dtype_dict(self):


@slow
@require_torch_gpu
@require_torch_accelerator
class BriaPipelineSlowTests(unittest.TestCase):
pipeline_class = BriaPipeline
repo_id = "briaai/BRIA-3.2"

def setUp(self):
super().setUp()
gc.collect()
torch.cuda.empty_cache()
backend_empty_cache(torch_device)

def tearDown(self):
super().tearDown()
gc.collect()
torch.cuda.empty_cache()
backend_empty_cache(torch_device)

def get_inputs(self, device, seed=0):
generator = torch.Generator(device="cpu").manual_seed(seed)
Expand Down