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Minor improvements to benchmarking setup (#5843)

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Charlie Marsh 2024-08-06 19:47:45 -04:00 • committed by GitHub
parent 9b06b3905d
commit f3cc8e4790
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6 changed files with 412 additions and 25 deletions
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2
scripts/benchmark/pyproject.toml
View file

@ -2,7 +2,7 @@
name = "benchmark"
version = "0.0.1"
description = "Benchmark package resolution tools"
requires-python = ">=3.12"
requires-python = ">=3.11"
dependencies = [
"pdm",
"pip-tools",

20
scripts/benchmark/src/benchmark/__init__.py
View file

@ -21,12 +21,15 @@ class Hyperfine(typing.NamedTuple):
commands: list[Command]
"""The commands to benchmark."""
warmup: int
warmup: int | None
"""The number of warmup runs to perform."""
min_runs: int
min_runs: int | None
"""The minimum number of runs to perform."""
runs: int | None
"""The number of runs to perform."""
verbose: bool
"""Whether to print verbose output."""
@ -45,10 +48,15 @@ class Hyperfine(typing.NamedTuple):
# Preamble: benchmark-wide setup.
if self.verbose:
args.append("--show-output")
args.append("--warmup")
args.append(str(self.warmup))
args.append("--min-runs")
args.append(str(self.min_runs))
if self.warmup is not None:
args.append("--warmup")
args.append(str(self.warmup))
if self.min_runs is not None:
args.append("--min-runs")
args.append(str(self.min_runs))
if self.runs is not None:
args.append("--runs")
args.append(str(self.runs))
# Add all command names,
for command in self.commands:

38
scripts/benchmark/src/benchmark/resolver.py
View file

@ -28,13 +28,13 @@ By default, the script will run the resolution benchmarks when a `requirements.i
is provided, and the installation benchmarks when a `requirements.txt` file is provided:
# Run the resolution benchmarks against the Trio project.
uv run benchmark\
uv run resolver \
--uv-path ../../target/release/uv \
--uv-path ../../target/release/baseline \
../requirements/trio.in
# Run the installation benchmarks against the Trio project.
uv run benchmark\
uv run resolver \
--uv-path ../../target/release/uv \
--uv-path ../../target/release/baseline \
../requirements/compiled/trio.txt
@ -42,7 +42,7 @@ is provided, and the installation benchmarks when a `requirements.txt` file is p
You can also specify the benchmark to run explicitly:
# Run the "uncached install" benchmark against the Trio project.
uv run benchmark\
uv run resolver \
--uv-path ../../target/release/uv \
--uv-path ../../target/release/baseline \
--benchmark install-cold \
@ -302,7 +302,7 @@ class PipSync(Suite):
return Command(
name=f"{self.name} ({Benchmark.INSTALL_COLD.value})",
prepare=f"rm -rf {cache_dir} && virtualenv --clear -p 3.12 {venv_dir}",
prepare=f"rm -rf {cache_dir} && virtualenv --clear -p 3.12.3 {venv_dir}",
command=[
self.path,
os.path.abspath(requirements_file),
@ -319,7 +319,7 @@ class PipSync(Suite):
return Command(
name=f"{self.name} ({Benchmark.INSTALL_WARM.value})",
prepare=f"virtualenv --clear -p 3.12 {venv_dir}",
prepare=f"virtualenv --clear -p 3.12.3 {venv_dir}",
command=[
self.path,
os.path.abspath(requirements_file),
@ -559,7 +559,7 @@ class Poetry(Suite):
f"rm -rf {config_dir} && "
f"rm -rf {cache_dir} && "
f"rm -rf {data_dir} &&"
f"virtualenv --clear -p 3.12 {venv_dir} --no-seed"
f"virtualenv --clear -p 3.12.3 {venv_dir} --no-seed"
),
command=[
f"POETRY_CONFIG_DIR={config_dir}",
@ -599,7 +599,7 @@ class Poetry(Suite):
return Command(
name=f"{self.name} ({Benchmark.INSTALL_WARM.value})",
prepare=f"virtualenv --clear -p 3.12 {venv_dir}",
prepare=f"virtualenv --clear -p 3.12.3 {venv_dir}",
command=[
f"POETRY_CONFIG_DIR={config_dir}",
f"POETRY_CACHE_DIR={cache_dir}",
@ -636,7 +636,7 @@ class Pdm(Suite):
# Create a PDM project.
subprocess.check_call(
[self.path, "init", "--non-interactive", "--python", "3.12"],
[self.path, "init", "--non-interactive", "--python", "3.12.3"],
cwd=cwd,
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
@ -792,7 +792,7 @@ class Pdm(Suite):
prepare=(
f"rm -rf {cache_dir} && "
f"{self.path} config cache_dir {cache_dir} && "
f"virtualenv --clear -p 3.12 {venv_dir} --no-seed"
f"virtualenv --clear -p 3.12.3 {venv_dir} --no-seed"
),
command=[
f"VIRTUAL_ENV={venv_dir}",
@ -826,7 +826,7 @@ class Pdm(Suite):
name=f"{self.name} ({Benchmark.INSTALL_WARM.value})",
prepare=(
f"{self.path} config cache_dir {cache_dir} && "
f"virtualenv --clear -p 3.12 {venv_dir} --no-seed"
f"virtualenv --clear -p 3.12.3 {venv_dir} --no-seed"
),
command=[
f"VIRTUAL_ENV={venv_dir}",
@ -841,7 +841,7 @@ class Pdm(Suite):
class UvPip(Suite):
def __init__(self, *, path: str | None = None) -> Command | None:
"""Initialize a uv benchmark."""
self.name = path or "uv"
self.name = path or "uv pip"
self.path = path or os.path.join(
os.path.dirname(
os.path.dirname(
@ -967,7 +967,7 @@ class UvPip(Suite):
return Command(
name=f"{self.name} ({Benchmark.INSTALL_COLD.value})",
prepare=f"rm -rf {cache_dir} && virtualenv --clear -p 3.12 {venv_dir}",
prepare=f"rm -rf {cache_dir} && virtualenv --clear -p 3.12.3 {venv_dir}",
command=[
f"VIRTUAL_ENV={venv_dir}",
self.path,
@ -985,7 +985,7 @@ class UvPip(Suite):
return Command(
name=f"{self.name} ({Benchmark.INSTALL_WARM.value})",
prepare=f"virtualenv --clear -p 3.12 {venv_dir}",
prepare=f"virtualenv --clear -p 3.12.3 {venv_dir}",
command=[
f"VIRTUAL_ENV={venv_dir}",
self.path,
@ -1207,7 +1207,7 @@ class UvProject(Suite):
name=f"{self.name} ({Benchmark.INSTALL_COLD.value})",
prepare=(
f"rm -rf {cache_dir} && "
f"virtualenv --clear -p 3.12 {venv_dir} --no-seed"
f"virtualenv --clear -p 3.12.3 {venv_dir} --no-seed"
),
command=[
f"VIRTUAL_ENV={venv_dir}",
@ -1243,7 +1243,7 @@ class UvProject(Suite):
return Command(
name=f"{self.name} ({Benchmark.INSTALL_COLD.value})",
prepare=(f"virtualenv --clear -p 3.12 {venv_dir} --no-seed"),
prepare=(f"virtualenv --clear -p 3.12.3 {venv_dir} --no-seed"),
command=[
f"VIRTUAL_ENV={venv_dir}",
self.path,
@ -1287,6 +1287,11 @@ def main():
help="The minimum number of runs to perform.",
default=10,
)
parser.add_argument(
"--runs",
type=int,
help="The number of runs to perform.",
)
parser.add_argument(
"--benchmark",
"-b",
@ -1373,6 +1378,7 @@ def main():
json = args.json
warmup = args.warmup
min_runs = args.min_runs
runs = args.runs
requirements_file = os.path.abspath(args.file)
if not os.path.exists(requirements_file):
@ -1411,6 +1417,7 @@ def main():
PipSync(),
PipCompile(),
Poetry(),
Pdm(),
UvPip(),
UvProject(),
]
@ -1453,6 +1460,7 @@ def main():
commands=commands,
warmup=warmup,
min_runs=min_runs,
runs=runs,
verbose=verbose,
json=json,
)

7
scripts/benchmark/src/benchmark/tools.py
View file

@ -245,6 +245,11 @@ def main():
help="The minimum number of runs to perform.",
default=10,
)
parser.add_argument(
"--runs",
type=int,
help="The number of runs to perform.",
)
parser.add_argument(
"--benchmark",
"-b",
@ -287,6 +292,7 @@ def main():
json = args.json
warmup = args.warmup
min_runs = args.min_runs
runs = args.runs
# Determine the tools to benchmark, based on the user-provided arguments.
suites = []
@ -328,6 +334,7 @@ def main():
commands=commands,
warmup=warmup,
min_runs=min_runs,
runs=runs,
verbose=verbose,
json=json,
)

94
scripts/benchmark/uv.lock generated
View file

@ -1,5 +1,5 @@
version = 1
requires-python = ">=3.12"
requires-python = ">=3.11"
[[distribution]]
name = "anyio"
@ -96,6 +96,17 @@ dependencies = [
]
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276
scripts/requirements/transformers-extras.in
View file

@ -1,2 +1,274 @@
# Run Python 3.10
transformers[accelerate,agents,audio,codecarbon,deepspeed,deepspeed-testing,dev,dev-tensorflow,dev-torch,flax,flax-speech,ftfy,integrations,ja,modelcreation,onnx,onnxruntime,optuna,quality,ray,retrieval,sagemaker,sentencepiece,sigopt,sklearn,speech,testing,tf,tf-cpu,tf-speech,timm,tokenizers,torch,torch-speech,torch-vision,torchhub,video,vision]==4.38.2
# This file is a translation of
# https://github.com/huggingface/transformers/blob/0e4a1c3401421d3342938a183c7b021cdac6fd79/setup.py
# to PEP 621 and `tool.uv` sources.
filelock
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requests
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onnxconverter-common
tf2onnx
tensorflow-text<2.16
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onnxconverter-common
tf2onnx
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cookiecutter==1.7.3
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accelerate>=0.21.0
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ray[tune]>=2.7.0
sigopt
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pydantic
uvicorn
fastapi
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hf-doc-builder>=0.3.0
protobuf
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tensorboard
pydantic
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datasets!=2.5.0
cookiecutter==1.7.3
optuna
sentencepiece>=0.1.91,!=0.1.92
protobuf
datasets!=2.5.0
isort>=5.5.4
ruff==0.1.5
GitPython<3.1.19
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urllib3<2.0.0
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jax>=0.4.1,<=0.4.13
jaxlib>=0.4.1,<=0.4.13
flax>=0.4.1,<=0.7.0
optax>=0.0.8,<=0.1.4
sentencepiece>=0.1.91,!=0.1.92
protobuf
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phonemizer
kenlm
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optuna
ray[tune]>=2.7.0
sigopt
timm
torchvision
Pillow>=10.0.1,<=15.0
codecarbon==1.2.0
accelerate>=0.21.0
decord==0.6.0
av==9.2.0
hf-doc-builder
tensorflow>=2.6,<2.16
onnxconverter-common
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torch
accelerate>=0.21.0
jax>=0.4.1,<=0.4.13
jaxlib>=0.4.1,<=0.4.13
flax>=0.4.1,<=0.7.0
optax>=0.0.8,<=0.1.4
sentencepiece>=0.1.91,!=0.1.92
protobuf
tokenizers>=0.14,<0.19
torchaudio
librosa
pyctcdecode>=0.4.0
phonemizer
kenlm
Pillow>=10.0.1,<=15.0
optuna
ray[tune]>=2.7.0
sigopt
timm
torchvision
Pillow>=10.0.1,<=15.0
codecarbon==1.2.0
accelerate>=0.21.0
decord==0.6.0
av==9.2.0
hf-doc-builder
filelock
huggingface-hub>=0.19.3,<1.0
importlib_metadata
numpy>=1.17
packaging>=20.0
protobuf
regex!=2019.12.17
requests
sentencepiece>=0.1.91,!=0.1.92
torch
tokenizers>=0.14,<0.19
tqdm>=4.27
diffusers
accelerate>=0.21.0
datasets!=2.5.0
torch
sentencepiece>=0.1.91,!=0.1.92
opencv-python
Pillow>=10.0.1,<=15.0
GitPython<3.1.19
Pillow>=10.0.1,<=15.0
accelerate>=0.21.0
av==9.2.0
beautifulsoup4
codecarbon==1.2.0
codecarbon==1.2.0
cookiecutter==1.7.3
datasets!=2.5.0
decord==0.6.0
dill<0.3.5
evaluate>=0.2.0
faiss-cpu
flax>=0.4.1,<=0.7.0
fugashi>=1.0
hf-doc-builder
hf-doc-builder>=0.3.0
ipadic>=1.0.0,<2.0
isort>=5.5.4
jax>=0.4.1,<=0.4.13
jaxlib>=0.4.1,<=0.4.13
kenlm
keras-nlp>=0.3.1
librosa
nltk
onnxconverter-common
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phonemizer
protobuf
psutil
pyctcdecode>=0.4.0
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pytest-xdist
pytest>=7.2.0,<8.0.0
ray[tune]>=2.7.0
rhoknp>=1.1.0,<1.3.1
rjieba
rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1
ruff==0.1.5
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sacremoses
scikit-learn
sentencepiece>=0.1.91,!=0.1.92
sigopt
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sudachipy>=0.6.6
tensorboard
tensorflow-text<2.16
tensorflow>=2.6,<2.16
tf2onnx
timeout-decorator
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torchaudio
torchvision
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unidic_lite>=1.0.7
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