[CI/Build] Fix v1 OOT registration test (#25547)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
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Isotr0py 2025-09-24 16:03:13 +08:00 committed by GitHub
parent 1cbcfb94de
commit 27ec3c78f3
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3 changed files with 19 additions and 20 deletions

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@ -1079,7 +1079,7 @@ def dummy_llava_path():
local_dir=_dummy_llava_path,
ignore_patterns=[
"*.bin", "*.bin.index.json", "*.pt", "*.h5",
"*.msgpack"
"*.msgpack", "*.safetensors"
])
assert os.path.exists(json_path)
with open(json_path) as f:
@ -1098,7 +1098,7 @@ def dummy_gemma2_embedding_path():
local_dir=_dummy_gemma2_embedding_path,
ignore_patterns=[
"*.bin", "*.bin.index.json", "*.pt", "*.h5",
"*.msgpack"
"*.msgpack", "*.safetensors"
])
assert os.path.exists(json_path)
with open(json_path) as f:

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@ -42,7 +42,6 @@ def test_oot_registration_text_generation(
assert rest == ""
@pytest.mark.skip(reason="This test is skipped because it failed on V1.")
@create_new_process_for_each_test()
def test_oot_registration_embedding(
monkeypatch: pytest.MonkeyPatch,
@ -63,7 +62,6 @@ def test_oot_registration_embedding(
image = convert_image_mode(ImageAsset("cherry_blossom").pil_image, "RGB")
@pytest.mark.skip(reason="This test is skipped because it failed on V1.")
@create_new_process_for_each_test()
def test_oot_registration_multimodal(
monkeypatch: pytest.MonkeyPatch,

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@ -483,23 +483,23 @@ class _LazyRegisteredModel(_BaseRegisteredModel):
def inspect_model_cls(self) -> _ModelInfo:
model_path = Path(
__file__).parent / f"{self.module_name.split('.')[-1]}.py"
module_hash = None
assert model_path.exists(), \
f"Model {self.module_name} expected to be on path {model_path}"
with open(model_path, "rb") as f:
module_hash = hashlib.md5(f.read()).hexdigest()
if model_path.exists():
with open(model_path, "rb") as f:
module_hash = hashlib.md5(f.read()).hexdigest()
mi = self._load_modelinfo_from_cache(module_hash)
if mi is not None:
logger.debug(("Loaded model info "
"for class %s.%s from cache"), self.module_name,
self.class_name)
return mi
else:
logger.debug(("Cache model info "
"for class %s.%s miss. "
"Loading model instead."), self.module_name,
self.class_name)
mi = self._load_modelinfo_from_cache(module_hash)
if mi is not None:
logger.debug(("Loaded model info "
"for class %s.%s from cache"), self.module_name,
self.class_name)
return mi
else:
logger.debug(("Cache model info "
"for class %s.%s miss. "
"Loading model instead."), self.module_name,
self.class_name)
# Performed in another process to avoid initializing CUDA
mi = _run_in_subprocess(
@ -508,7 +508,8 @@ class _LazyRegisteredModel(_BaseRegisteredModel):
self.class_name)
# save cache file
self._save_modelinfo_to_cache(mi, module_hash)
if module_hash is not None:
self._save_modelinfo_to_cache(mi, module_hash)
return mi