From 2f0565de64106393892cd3c8274f524d20bfa634 Mon Sep 17 00:00:00 2001 From: Robert Pavel Date: Wed, 16 Sep 2020 09:18:01 -0600 Subject: [PATCH] Added spackage for cosmoflow-benchmark proxy app (#18685) * Initial Draft of Cosmoflow Spackage Need to add in logic to streamline cpu/gpu builds * Added ~cuda logic to cosmoflow spackage Added logic to support a ~cuda build for cosmoflow * Requested Changes to Cosmoflow Spackage Made requested changes to cosmoflow spackage --- .../packages/cosmoflow-benchmark/package.py | 38 +++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 var/spack/repos/builtin/packages/cosmoflow-benchmark/package.py diff --git a/var/spack/repos/builtin/packages/cosmoflow-benchmark/package.py b/var/spack/repos/builtin/packages/cosmoflow-benchmark/package.py new file mode 100644 index 0000000000..97f1fef1d8 --- /dev/null +++ b/var/spack/repos/builtin/packages/cosmoflow-benchmark/package.py @@ -0,0 +1,38 @@ +# Copyright 2013-2020 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 import * + + +class CosmoflowBenchmark(Package, CudaPackage): + """This is a an implementation of the CosmoFlow 3D convolutional neural + network for benchmarking. It is written in TensorFlow with the Keras API + and uses Horovod for distributed training.""" + + homepage = "https://github.com/sparticlesteve/cosmoflow-benchmark" + git = "https://github.com/sparticlesteve/cosmoflow-benchmark.git" + + tags = ['proxy-app'] + + version('master', branch='master') + + depends_on('python@3:', type=('build', 'run')) + + depends_on('py-h5py', type=('build', 'run')) + depends_on('py-numpy', type=('build', 'run')) + depends_on('py-pandas', type=('build', 'run')) + depends_on('py-pyyaml', type=('build', 'run')) + depends_on('py-horovod', type=('build', 'run')) + depends_on('py-mpi4py', type=('build', 'run')) + + depends_on('py-tensorflow+cuda', when='+cuda', type=('build', 'run')) + depends_on('py-tensorflow~cuda~nccl', when='~cuda', type=('build', 'run')) + depends_on('py-torch+cuda', when='+cuda', type=('build', 'run')) + depends_on('py-torch~cuda~cudnn~nccl', when='~cuda', type=('build', 'run')) + depends_on('py-horovod tensor_ops=mpi', when='~cuda', type=('build', 'run')) + + def install(self, spec, prefix): + # Mostly about providing an environment so just copy everything + install_tree('.', prefix)