vllm/tests/test_sequence.py
Russell Bryant e489ad7a21
[Misc] Add SPDX-License-Identifier headers to python source files (#12628)
- **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>
2025-02-02 11:58:18 -08:00

101 lines
3.4 KiB
Python

# SPDX-License-Identifier: Apache-2.0
import pytest
from vllm.model_executor.layers.sampler import SamplerOutput
from vllm.sequence import (CompletionSequenceGroupOutput, SequenceData,
SequenceOutput)
from .core.utils import create_dummy_prompt
@pytest.fixture
def sample_outputs():
return [
CompletionSequenceGroupOutput(samples=[
SequenceOutput(parent_seq_id=0, output_token=i, logprobs={})
],
prompt_logprobs=None) for i in range(5)
]
@pytest.fixture
def sampler_output(sample_outputs):
return SamplerOutput(outputs=sample_outputs)
def test_sampler_output_initialization(sampler_output, sample_outputs):
assert len(sampler_output) == len(sample_outputs)
assert sampler_output.sampled_token_probs is None
assert sampler_output.sampled_token_ids is None
assert sampler_output.spec_decode_worker_metrics is None
def test_sampler_output_getitem(sampler_output, sample_outputs):
assert sampler_output[2] == sample_outputs[2]
def test_sampler_output_setitem(sampler_output):
new_output = CompletionSequenceGroupOutput(samples=[
SequenceOutput(parent_seq_id=0, output_token=99, logprobs={})
],
prompt_logprobs=None)
sampler_output[2] = new_output
assert sampler_output[2] == new_output
def test_sampler_output_len(sampler_output, sample_outputs):
assert len(sampler_output) == len(sample_outputs)
def test_sampler_output_eq(sample_outputs):
sampler_output1 = SamplerOutput(outputs=sample_outputs)
sampler_output2 = SamplerOutput(outputs=sample_outputs.copy())
sampler_output3 = SamplerOutput(outputs=sample_outputs[:-1])
assert sampler_output1 == sampler_output2
assert sampler_output1 != sampler_output3
def test_sequence_data_prefill():
seq_data = SequenceData.from_seqs([1, 2, 3, 4])
assert seq_data.get_num_uncomputed_tokens() == 4
assert seq_data.get_num_computed_tokens() == 0
# advance by 2
seq_data.update_num_computed_tokens(2)
assert seq_data.get_num_uncomputed_tokens() == 2
assert seq_data.get_num_computed_tokens() == 2
# advance by 1
seq_data.update_num_computed_tokens(1)
assert seq_data.get_num_uncomputed_tokens() == 1
assert seq_data.get_num_computed_tokens() == 3
# append tokens and reset, simulating recompute
seq_data.append_token_id(1, logprob=0.0)
seq_data.reset_state_for_recompute()
assert seq_data.get_num_uncomputed_tokens() == 5
assert seq_data.get_num_computed_tokens() == 0
def test_sequence_group_stage():
_, seq_group = create_dummy_prompt("1", 12)
assert seq_group.is_prefill() is True
seq_group.update_num_computed_tokens(6)
assert seq_group.is_prefill() is True
seq_group.update_num_computed_tokens(5)
assert seq_group.is_prefill() is True
seq_group.update_num_computed_tokens(1)
assert seq_group.is_prefill() is False
seqs = seq_group.get_seqs()
assert len(seqs) == 1
seqs[0].data.append_token_id(1, logprob=0.0)
for seq in seq_group.get_seqs():
seq.reset_state_for_recompute()
assert seq_group.is_prefill() is True
seq_group.update_num_computed_tokens(5)
assert seq_group.is_prefill() is True
seq_group.update_num_computed_tokens(7)
assert seq_group.is_prefill() is True
seq_group.update_num_computed_tokens(1)
assert seq_group.is_prefill() is False