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| author | Robert Pavel <rspavel@lanl.gov> | 2020-09-16 09:18:01 -0600 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-09-16 10:18:01 -0500 |
| commit | 2f0565de64106393892cd3c8274f524d20bfa634 (patch) | |
| tree | 884fd36f8ec4a7c5d5cce35f5f94551bb45c5fd8 /var | |
| parent | e41c3ad1fc5cda3981348a430e46e58ec862c8bb (diff) | |
| download | spack-2f0565de64106393892cd3c8274f524d20bfa634.tar.gz spack-2f0565de64106393892cd3c8274f524d20bfa634.tar.bz2 spack-2f0565de64106393892cd3c8274f524d20bfa634.tar.xz spack-2f0565de64106393892cd3c8274f524d20bfa634.zip | |
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
Diffstat (limited to 'var')
| -rw-r--r-- | var/spack/repos/builtin/packages/cosmoflow-benchmark/package.py | 38 |
1 files changed, 38 insertions, 0 deletions
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) |