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enable dit integration cases on xpu #11523

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Merged
merged 5 commits into from
May 9, 2025
Merged

enable dit integration cases on xpu #11523

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a4fab92
enable dit integration test on XPU
yao-matrix May 8, 2025
3cd1846
fix style
yao-matrix May 8, 2025
7bb7f13
Merge branch 'main' into dit-xpu
yao-matrix May 8, 2025
b6dd1f1
Merge branch 'main' into dit-xpu
yao-matrix May 9, 2025
327dc9c
Merge branch 'main' into dit-xpu
yao-matrix May 9, 2025
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25 changes: 18 additions & 7 deletions tests/pipelines/dit/test_dit.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,15 @@

from diffusers import AutoencoderKL, DDIMScheduler, DiTPipeline, DiTTransformer2DModel, DPMSolverMultistepScheduler
from diffusers.utils import is_xformers_available
from diffusers.utils.testing_utils import enable_full_determinism, load_numpy, nightly, require_torch_gpu, torch_device
from diffusers.utils.testing_utils import (
backend_empty_cache,
enable_full_determinism,
load_numpy,
nightly,
numpy_cosine_similarity_distance,
require_torch_accelerator,
torch_device,
)

from ..pipeline_params import (
CLASS_CONDITIONED_IMAGE_GENERATION_BATCH_PARAMS,
Expand Down Expand Up @@ -107,23 +115,23 @@ def test_xformers_attention_forwardGenerator_pass(self):


@nightly
@require_torch_gpu
@require_torch_accelerator
class DiTPipelineIntegrationTests(unittest.TestCase):
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 test_dit_256(self):
generator = torch.manual_seed(0)

pipe = DiTPipeline.from_pretrained("facebook/DiT-XL-2-256")
pipe.to("cuda")
pipe.to(torch_device)

words = ["vase", "umbrella", "white shark", "white wolf"]
ids = pipe.get_label_ids(words)
Expand All @@ -139,7 +147,7 @@ def test_dit_256(self):
def test_dit_512(self):
pipe = DiTPipeline.from_pretrained("facebook/DiT-XL-2-512")
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
pipe.to("cuda")
pipe.to(torch_device)

words = ["vase", "umbrella"]
ids = pipe.get_label_ids(words)
Expand All @@ -152,4 +160,7 @@ def test_dit_512(self):
f"https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/dit/{word}_512.npy"
)

assert np.abs((expected_image - image).max()) < 1e-1
expected_slice = expected_image.flatten()
output_slice = image.flatten()

assert numpy_cosine_similarity_distance(expected_slice, output_slice) < 1e-2