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Copy pathpyproject.toml
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80 lines (72 loc) · 1.77 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "sol-execbench"
version = "1.0.2"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"torch==2.9.0",
"ninja>=1.13.0",
"cuda-bindings==13.1.1",
"cuda-python==13.1.1",
"cuda-tile==1.2.0",
"cupy-cuda13x==14.0.1",
"einops==0.8.2",
"numpy==2.2.6",
# Match production's cross-architecture transitive pins.
"numcodecs==0.16.5",
"nvidia-libcal-cu12==0.4.4.50",
"nvidia-cudnn-frontend==1.18.0",
"nvidia-cupynumeric==26.1.0",
"nvidia-cutlass-dsl[cu13]==4.4.2",
"pydantic>=2.12.5",
"safetensors>=0.7.0",
"click>=8.0",
"rich>=13.0",
"datasets>=4.8.2",
"torch-c-dlpack-ext>=0.1.5",
"apache-tvm-ffi==0.1.10",
"cupti-python>=13.0.1",
]
[project.scripts]
sol-execbench = "sol_execbench.cli:cli"
[dependency-groups]
dev = [
"pytest>=9.0.2",
"pytest-xdist>=3.5",
]
[tool.pytest.ini_options]
addopts = "-n auto --dist loadgroup"
markers = [
"cpp: test compiles C++/CUDA extensions (slow, requires compiler toolchain)",
"requires_cutile: test requires cuTile (sm_100+ / Blackwell GPU)",
]
[tool.ruff]
# Exclude generated code from linting and formatting
exclude = [
".git",
".venv",
"__pycache__",
"build",
"dist",
"*.egg-info",
".ruff_cache",
"data",
"examples"
]
[tool.ruff.lint]
ignore = ["E741"]
[[tool.uv.index]]
name = "pytorch-cu130"
url = "https://download.pytorch.org/whl/cu130"
explicit = true
[tool.uv.sources]
torch = [
{ index = "pytorch-cu130", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
torchvision = [
{ index = "pytorch-cu130", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]