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e489ad7a21
- **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>
70 lines
2.0 KiB
Python
70 lines
2.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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from typing import Callable, Iterable, Optional
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import pytest
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from vllm import LLM
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from vllm.distributed import cleanup_dist_env_and_memory
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from vllm.model_executor.utils import set_random_seed
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@pytest.fixture
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def baseline_llm_generator(common_llm_kwargs, per_test_common_llm_kwargs,
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baseline_llm_kwargs, seed):
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return create_llm_generator(common_llm_kwargs, per_test_common_llm_kwargs,
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baseline_llm_kwargs, seed)
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@pytest.fixture
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def test_llm_generator(common_llm_kwargs, per_test_common_llm_kwargs,
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test_llm_kwargs, seed):
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return create_llm_generator(common_llm_kwargs, per_test_common_llm_kwargs,
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test_llm_kwargs, seed)
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def create_llm_generator(common_llm_kwargs, per_test_common_llm_kwargs,
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distinct_llm_kwargs, seed):
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kwargs = {
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**common_llm_kwargs,
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**per_test_common_llm_kwargs,
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**distinct_llm_kwargs,
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}
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def generator_inner():
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llm = LLM(**kwargs)
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set_random_seed(seed)
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yield llm
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del llm
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cleanup_dist_env_and_memory()
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for llm in generator_inner():
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yield llm
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del llm
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def get_text_from_llm_generator(llm_generator: Iterable[LLM],
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prompts,
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sampling_params,
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llm_cb: Optional[Callable[[LLM],
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None]] = None):
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for llm in llm_generator:
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if llm_cb:
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llm_cb(llm)
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outputs = llm.generate(prompts, sampling_params, use_tqdm=True)
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text = [output.outputs[0].text for output in outputs]
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del llm
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return text
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def get_token_ids_from_llm_generator(llm_generator, prompts, sampling_params):
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for llm in llm_generator:
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outputs = llm.generate(prompts, sampling_params, use_tqdm=True)
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token_ids = [output.outputs[0].token_ids for output in outputs]
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del llm
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return token_ids
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