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

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)