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pyproject.toml
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62 lines (57 loc) · 1.42 KB
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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
name = "dlio_benchmark"
version = "3.0.0"
description = "An I/O benchmark for deep learning applications"
readme = "README.md"
requires-python = ">=3.12,<3.13"
dependencies = [
"dgen-py>=0.2.2",
"h5py>=3.11.0",
"mpi4py>=3.1.4",
"numpy>=1.23.5",
"omegaconf>=2.2.0",
"pandas>=1.5.1",
"Pillow>=9.3.0",
"psutil>=5.9.8",
"PyYAML>=6.0.0",
"hydra-core>=1.3.2",
"typing-extensions>=4.15.0",
"torch>=2.8.0",
"tensorflow>=2.20.0",
"pyarrow>=21.0.0",
"pydftracer>=2.0.2",
]
[project.optional-dependencies]
test = [
"pytest",
"pytest-timeout",
"pytest-xdist",
"dftracer>=2.0.1",
]
dftracer = [
"pydftracer>=2.0.2",
]
s3 = ["s3torchconnector"]
aistore = ["aistore"]
parquet = ["pyarrow>=12.0.0"]
dali = ["nvidia-dali-cuda120>=1.34.0"]
torch = ["torch>=2.2.0", "torchaudio", "torchvision"]
tensorflow = ["tensorflow>=2.13.1"]
[project.scripts]
dlio_benchmark = "dlio_benchmark.main:main"
dlio_benchmark_query = "dlio_benchmark.main:query_config"
dlio_postprocessor = "dlio_benchmark.postprocessor:main"
[tool.pytest.ini_options]
timeout = 3000
log_cli = true
log_cli_level = "INFO"
log_cli_format = "%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)"
log_cli_date_format = "%Y-%m-%d %H:%M:%S"
[dependency-groups]
dev = [
"pytest>=8.4.2",
"pytest-timeout>=2.4.0",
]