Skip to content

[ci] xfail more incorrect transformer imports. #12455

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 5 commits into
base: main
Choose a base branch
from
Open

[ci] xfail more incorrect transformer imports. #12455

Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
9dcfdcb
xfail more incorrect transformer imports.
sayakpaul Oct 9, 2025
905190f
Merge branch 'main' into fix-more-transformer-imports
sayakpaul Oct 14, 2025
8a0d1fa
xfail more.
sayakpaul Oct 14, 2025
439d039
up
sayakpaul Oct 14, 2025
62dff86
up
sayakpaul Oct 14, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 6 additions & 4 deletions tests/pipelines/test_pipelines.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -582,7 +582,7 @@ def test_download_variants_with_sharded_checkpoints(self):
assert not any(f.endswith(unexpected_ext) for f in files)
assert all(variant in f for f in model_files if f.endswith(model_ext) and variant is not None)

@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=True)
@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=False)
def test_download_legacy_variants_with_sharded_ckpts_raises_warning(self):
repo_id = "hf-internal-testing/tiny-stable-diffusion-pipe-variants-all-kinds"
logger = logging.get_logger("diffusers.pipelines.pipeline_utils")
Expand Down Expand Up @@ -674,6 +674,7 @@ def test_download_safetensors_variant_does_not_exist_for_model(self):

assert "Could not find the necessary `safetensors` weights" in str(error_context.exception)

@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=False)
def test_download_bin_variant_does_not_exist_for_model(self):
variant = "no_ema"
use_safetensors = False
Expand All @@ -689,7 +690,7 @@ def test_download_bin_variant_does_not_exist_for_model(self):
)
assert "Error no file name" in str(error_context.exception)

@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=True)
@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=False)
def test_local_save_load_index(self):
prompt = "hello"
for variant in [None, "fp16"]:
Expand Down Expand Up @@ -1584,7 +1585,7 @@ def test_save_safe_serialization(self):
assert pipeline.scheduler is not None
assert pipeline.feature_extractor is not None

@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=True)
@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=False)
def test_no_pytorch_download_when_doing_safetensors(self):
# by default we don't download
with tempfile.TemporaryDirectory() as tmpdirname:
Expand All @@ -1604,7 +1605,7 @@ def test_no_pytorch_download_when_doing_safetensors(self):
# pytorch does not
assert not os.path.exists(os.path.join(path, "diffusion_pytorch_model.bin"))

@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=True)
@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=False)
def test_no_safetensors_download_when_doing_pytorch(self):
use_safetensors = False

Expand Down Expand Up @@ -1890,6 +1891,7 @@ def test_dduf_raises_error_with_connected_pipeline(self):
"DDUF/tiny-flux-dev-pipe-dduf", dduf_file="fluxpipeline.dduf", load_connected_pipeline=True
)

@pytest.mark.xfail(condition=is_transformers_version(">", "4.56.2"), reason="Some import error", strict=False)
def test_wrong_model(self):
tokenizer = CLIPTokenizer.from_pretrained("hf-internal-testing/tiny-random-clip")
with self.assertRaises(ValueError) as error_context:
Expand Down
Loading