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# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack.package import *
class PyTorchbenchmark(Package):
"""A collection of open source benchmarks used to evaluate PyTorch performance."""
homepage = "https://github.com/pytorch/benchmark"
git = "https://github.com/pytorch/benchmark.git"
maintainers("adamjstewart")
license("BSD-3-Clause")
version("main", branch="main")
# README.md
depends_on("python@3.8:+pythoncmd", type=("build", "run"))
depends_on("git-lfs", type=("build", "run"))
depends_on("py-torch", type=("build", "run"))
depends_on("py-torchaudio", type=("build", "run"))
depends_on("py-torchtext", type=("build", "run"))
depends_on("py-torchvision", type=("build", "run"))
# requirements.txt
depends_on("py-accelerate", type=("build", "run"))
depends_on("py-beautifulsoup4", type=("build", "run"))
depends_on("py-patch", type=("build", "run"))
depends_on("py-py-cpuinfo", type=("build", "run"))
depends_on("py-distro", type=("build", "run"))
depends_on("py-iopath", type=("build", "run"))
depends_on("py-pytest", type=("build", "run"))
depends_on("py-pytest-benchmark", type=("build", "run"))
depends_on("py-requests", type=("build", "run"))
depends_on("py-tabulate", type=("build", "run"))
depends_on("py-timm", type=("build", "run"))
depends_on("py-transformers", type=("build", "run"))
depends_on("py-monkeytype", type=("build", "run"))
depends_on("py-psutil", type=("build", "run"))
depends_on("py-pyyaml", type=("build", "run"))
depends_on("py-numpy", type=("build", "run"))
depends_on("py-kornia", type=("build", "run"))
depends_on("py-scipy", type=("build", "run"))
depends_on("py-submitit", type=("build", "run"))
# torchbenchmark/models/BERT_pytorch/setup.py
depends_on("py-setuptools", type="build")
def patch(self):
# Avoid attempts to install dependencies
filter_file(r" = pip_install_requirements\(.*\)", " = True, 'skip'", "install.py")
filter_file(
r" = _install_deps\(.*\)",
" = (True, None, None)",
join_path("torchbenchmark", "__init__.py"),
)
def install(self, spec, prefix):
# Downloads datasets and models
python("install.py", "--verbose")
# Copy to installation prefix
install_tree(".", prefix)
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