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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 Minigan(Package):
"""miniGAN is a generative adversarial network code developed as part of the
Exascale Computing Project's (ECP) ExaLearn project at
Sandia National Laboratories."""
homepage = "https://github.com/SandiaMLMiniApps/miniGAN"
url = "https://github.com/SandiaMLMiniApps/miniGAN/archive/1.0.0.tar.gz"
version("1.0.0", sha256="ef6d5def9c7040af520acc64b7a8b6c8ec4b7901721b11b0cb25a583ea0c8ae3")
depends_on("python", type=("build", "run"))
depends_on("py-setuptools", type="build")
depends_on("py-torch", type=("build", "run"))
depends_on("py-numpy", type=("build", "run"))
depends_on("py-horovod@master", type=("build", "run"))
depends_on("py-torchvision", type=("build", "run"))
depends_on("py-matplotlib@3.0.0", type=("build", "run"))
def install(self, spec, prefix):
install_tree(".", prefix)
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