4ae1a73d54
* ensmallen: new package ensmallen is a high-quality C++ library for non-linear numerical optimization. * r-rcppensmallen: new package --------- Co-authored-by: wdconinc <wdconinc@users.noreply.github.com>
32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class Ensmallen(CMakePackage):
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"""ensmallen is a high-quality C++ library for non-linear numerical
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optimization.
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ensmallen provides many types of optimizers that can be used for
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virtually any numerical optimization task. This includes gradient
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descent techniques, gradient-free optimizers, and constrained
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optimization. ensmallen also allows optional callbacks to customize
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the optimization process."""
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homepage = "https://ensmallen.org"
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url = "https://github.com/mlpack/ensmallen/archive/refs/tags/2.19.1.tar.gz"
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version("2.19.1", sha256="f36ad7f08b0688d2a8152e1c73dd437c56ed7a5af5facf65db6ffd977b275b2e")
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variant("openmp", default=True, description="Use OpenMP for parallelization")
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depends_on("cmake@3.3.2:")
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depends_on("armadillo@9.800.0:")
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def cmake_args(self):
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args = [self.define_from_variant("USE_OPENMP", "openmp")]
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return args
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