mirror of
https://git.datalinker.icu/vllm-project/vllm.git
synced 2025-12-10 12:05:48 +08:00
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**
commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:18:24 2025 -0500
Add SPDX license headers to python source files
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
also be easily used by tools to help manage license compliance.
The Linux Foundation runs license scans against the codebase to help
ensure
we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
More information can be found on the SPDX site:
- https://spdx.dev/learn/handling-license-info/
Signed-off-by: Russell Bryant <rbryant@redhat.com>
commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date: Fri Jan 31 14:36:32 2025 -0500
Check for SPDX headers using pre-commit
Signed-off-by: Russell Bryant <rbryant@redhat.com>
---------
Signed-off-by: Russell Bryant <rbryant@redhat.com>
57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import os
|
|
import tempfile
|
|
|
|
import huggingface_hub.constants
|
|
import pytest
|
|
from huggingface_hub.utils import LocalEntryNotFoundError
|
|
|
|
from vllm.model_executor.model_loader.weight_utils import (
|
|
download_weights_from_hf, enable_hf_transfer)
|
|
|
|
|
|
def test_hf_transfer_auto_activation():
|
|
if "HF_HUB_ENABLE_HF_TRANSFER" in os.environ:
|
|
# in case it is already set, we can't test the auto activation
|
|
pytest.skip(
|
|
"HF_HUB_ENABLE_HF_TRANSFER is set, can't test auto activation")
|
|
enable_hf_transfer()
|
|
try:
|
|
# enable hf hub transfer if available
|
|
import hf_transfer # type: ignore # noqa
|
|
HF_TRANFER_ACTIVE = True
|
|
except ImportError:
|
|
HF_TRANFER_ACTIVE = False
|
|
assert (huggingface_hub.constants.HF_HUB_ENABLE_HF_TRANSFER ==
|
|
HF_TRANFER_ACTIVE)
|
|
|
|
|
|
def test_download_weights_from_hf():
|
|
with tempfile.TemporaryDirectory() as tmpdir:
|
|
# assert LocalEntryNotFoundError error is thrown
|
|
# if offline is set and model is not cached
|
|
huggingface_hub.constants.HF_HUB_OFFLINE = True
|
|
with pytest.raises(LocalEntryNotFoundError):
|
|
download_weights_from_hf("facebook/opt-125m",
|
|
allow_patterns=["*.safetensors", "*.bin"],
|
|
cache_dir=tmpdir)
|
|
|
|
# download the model
|
|
huggingface_hub.constants.HF_HUB_OFFLINE = False
|
|
download_weights_from_hf("facebook/opt-125m",
|
|
allow_patterns=["*.safetensors", "*.bin"],
|
|
cache_dir=tmpdir)
|
|
|
|
# now it should work offline
|
|
huggingface_hub.constants.HF_HUB_OFFLINE = True
|
|
assert download_weights_from_hf(
|
|
"facebook/opt-125m",
|
|
allow_patterns=["*.safetensors", "*.bin"],
|
|
cache_dir=tmpdir) is not None
|
|
|
|
|
|
if __name__ == "__main__":
|
|
test_hf_transfer_auto_activation()
|
|
test_download_weights_from_hf()
|