[ci] add vllm_test_utils (#10659)

Signed-off-by: youkaichao <youkaichao@gmail.com>
This commit is contained in:
youkaichao 2024-11-26 00:20:04 -08:00 committed by GitHub
parent 940635343a
commit 334d64d1e8
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14 changed files with 113 additions and 61 deletions

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@ -191,6 +191,10 @@ ADD . /vllm-workspace/
RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install -r requirements-dev.txt
# install development dependencies (for testing)
RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install -e tests/vllm_test_utils
# enable fast downloads from hf (for testing)
RUN --mount=type=cache,target=/root/.cache/pip \
python3 -m pip install hf_transfer

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@ -62,4 +62,8 @@ WORKDIR /workspace/
RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks
# install development dependencies (for testing)
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -e tests/vllm_test_utils
ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]

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@ -11,6 +11,9 @@ ENV PT_HPU_ENABLE_LAZY_COLLECTIVES=true
RUN VLLM_TARGET_DEVICE=hpu python3 setup.py install
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
WORKDIR /workspace/
RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks

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@ -38,4 +38,7 @@ ENV VLLM_TARGET_DEVICE neuron
RUN --mount=type=bind,source=.git,target=.git \
pip install --no-build-isolation -v -e .
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
CMD ["/bin/bash"]

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@ -22,4 +22,7 @@ RUN PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu" VLLM_TARGET_DEVIC
COPY examples/ /workspace/examples
COPY benchmarks/ /workspace/benchmarks
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
CMD ["/bin/bash"]

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@ -29,6 +29,9 @@ RUN --mount=type=cache,target=/root/.cache/pip \
RUN --mount=type=bind,source=.git,target=.git \
VLLM_TARGET_DEVICE=cpu python3 setup.py install
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
WORKDIR /workspace/
RUN ln -s /workspace/vllm/tests && ln -s /workspace/vllm/examples && ln -s /workspace/vllm/benchmarks

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@ -168,4 +168,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
if ls libs/*.whl; then \
python3 -m pip install libs/*.whl; fi
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
CMD ["/bin/bash"]

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@ -22,4 +22,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
-r requirements-tpu.txt
RUN python3 setup.py develop
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
CMD ["/bin/bash"]

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@ -64,5 +64,6 @@ RUN --mount=type=cache,target=/root/.cache/pip \
ENV VLLM_USAGE_SOURCE production-docker-image \
TRITON_XPU_PROFILE 1
# install development dependencies (for testing)
RUN python3 -m pip install -e tests/vllm_test_utils
ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"]

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@ -1,12 +1,12 @@
import sys
from vllm_test_utils import blame
from vllm import LLM, SamplingParams
from vllm.distributed import cleanup_dist_env_and_memory
def test_lazy_outlines(sample_regex):
"""If users don't use guided decoding, outlines should not be imported.
"""
def run_normal():
prompts = [
"Hello, my name is",
"The president of the United States is",
@ -25,13 +25,12 @@ def test_lazy_outlines(sample_regex):
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
# make sure outlines is not imported
assert 'outlines' not in sys.modules
# Destroy the LLM object and free up the GPU memory.
del llm
cleanup_dist_env_and_memory()
def run_lmfe(sample_regex):
# Create an LLM with guided decoding enabled.
llm = LLM(model="facebook/opt-125m",
enforce_eager=True,
@ -51,5 +50,15 @@ def test_lazy_outlines(sample_regex):
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
def test_lazy_outlines(sample_regex):
"""If users don't use guided decoding, outlines should not be imported.
"""
# make sure outlines is not imported
assert 'outlines' not in sys.modules
module_name = "outlines"
with blame(lambda: module_name in sys.modules) as result:
run_normal()
run_lmfe(sample_regex)
assert not result.found, (
f"Module {module_name} is already imported, the"
f" first import location is:\n{result.trace_stack}")

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@ -1,61 +1,9 @@
# Description: Test the lazy import module
# The utility function cannot be placed in `vllm.utils`
# this needs to be a standalone script
import contextlib
import dataclasses
import sys
import traceback
from typing import Callable, Generator
@dataclasses.dataclass
class BlameResult:
found: bool = False
trace_stack: str = ""
@contextlib.contextmanager
def blame(func: Callable) -> Generator[BlameResult, None, None]:
"""
Trace the function calls to find the first function that satisfies the
condition. The trace stack will be stored in the result.
Usage:
```python
with blame(lambda: some_condition()) as result:
# do something
if result.found:
print(result.trace_stack)
"""
result = BlameResult()
def _trace_calls(frame, event, arg=None):
nonlocal result
if event in ['call', 'return']:
# for every function call or return
try:
# Temporarily disable the trace function
sys.settrace(None)
# check condition here
if not result.found and func():
result.found = True
result.trace_stack = "".join(traceback.format_stack())
# Re-enable the trace function
sys.settrace(_trace_calls)
except NameError:
# modules are deleted during shutdown
pass
return _trace_calls
sys.settrace(_trace_calls)
yield result
sys.settrace(None)
from vllm_test_utils import blame
module_name = "torch._inductor.async_compile"

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@ -0,0 +1,7 @@
from setuptools import setup
setup(
name='vllm_test_utils',
version='0.1',
packages=['vllm_test_utils'],
)

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@ -0,0 +1,8 @@
"""
vllm_utils is a package for vLLM testing utilities.
It does not import any vLLM modules.
"""
from .blame import BlameResult, blame
__all__ = ["blame", "BlameResult"]

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@ -0,0 +1,53 @@
import contextlib
import dataclasses
import sys
import traceback
from typing import Callable, Generator
@dataclasses.dataclass
class BlameResult:
found: bool = False
trace_stack: str = ""
@contextlib.contextmanager
def blame(func: Callable) -> Generator[BlameResult, None, None]:
"""
Trace the function calls to find the first function that satisfies the
condition. The trace stack will be stored in the result.
Usage:
```python
with blame(lambda: some_condition()) as result:
# do something
if result.found:
print(result.trace_stack)
"""
result = BlameResult()
def _trace_calls(frame, event, arg=None):
nonlocal result
if event in ['call', 'return']:
# for every function call or return
try:
# Temporarily disable the trace function
sys.settrace(None)
# check condition here
if not result.found and func():
result.found = True
result.trace_stack = "".join(traceback.format_stack())
# Re-enable the trace function
sys.settrace(_trace_calls)
except NameError:
# modules are deleted during shutdown
pass
return _trace_calls
sys.settrace(_trace_calls)
yield result
sys.settrace(None)