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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>
89 lines
2.9 KiB
Python
89 lines
2.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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from unittest.mock import MagicMock
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import pytest
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from transformers import PreTrainedTokenizer
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from vllm.engine.output_processor.stop_checker import StopChecker
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from vllm.inputs import token_inputs
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from vllm.sampling_params import SamplingParams
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from vllm.sequence import Logprob, Sequence, SequenceStatus
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def sequence_with_eos(text: str, eos_token: str,
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eos_token_id: int) -> Sequence:
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"""
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Create a Sequence that ends with an EOS token.
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"""
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seq = Sequence(
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seq_id=0,
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inputs=token_inputs([]),
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block_size=16,
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eos_token_id=eos_token_id,
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)
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seq.output_text = text + eos_token
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offset = eos_token_id + 1
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for i in range(offset, len(text) + offset):
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seq.append_token_id(token_id=i, logprobs={i: Logprob(0.0)})
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seq.append_token_id(token_id=eos_token_id,
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logprobs={eos_token_id: Logprob(0.0)})
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seq.status = SequenceStatus.RUNNING
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return seq
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@pytest.mark.parametrize(["text_wo_eos", "eos_token", "eos_token_id"], [
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("This text ends with EOS token", "</s>", 2),
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])
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@pytest.mark.parametrize("ignore_eos", [True, False])
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@pytest.mark.parametrize("include_stop_str_in_output", [True, False])
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@pytest.mark.skip_global_cleanup
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def test_stop_on_eos_token(text_wo_eos: str, eos_token: str, eos_token_id: int,
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ignore_eos: bool, include_stop_str_in_output: bool):
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"""
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Test the behavior of the StopChecker's maybe_stop_sequence method
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when an EOS token is encountered.
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This test covers:
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- When the EOS token should stop the sequence and be removed from the output
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- When the EOS token should stop the sequence and be included in the output
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- When the EOS token should be ignored, and the sequence continues
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"""
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tokenizer = MagicMock(spec=PreTrainedTokenizer)
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get_tokenizer_for_seq = MagicMock(return_value=tokenizer)
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stop_checker = StopChecker(max_model_len=1024,
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get_tokenizer_for_seq=get_tokenizer_for_seq)
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seq = sequence_with_eos(
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text=text_wo_eos,
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eos_token=eos_token,
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eos_token_id=eos_token_id,
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)
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new_char_count = len(eos_token)
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# Note that `stop` and `stop_token_ids` are not specified
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sampling_params = SamplingParams(
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min_tokens=1,
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ignore_eos=ignore_eos,
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include_stop_str_in_output=include_stop_str_in_output)
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stop_checker.maybe_stop_sequence(
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seq=seq,
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new_char_count=new_char_count,
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sampling_params=sampling_params,
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)
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if ignore_eos:
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assert seq.status == SequenceStatus.RUNNING
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assert seq.output_text == text_wo_eos + eos_token
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elif include_stop_str_in_output:
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assert seq.status == SequenceStatus.FINISHED_STOPPED
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assert seq.output_text == text_wo_eos + eos_token
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else:
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assert seq.status == SequenceStatus.FINISHED_STOPPED
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assert seq.output_text == text_wo_eos
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