new package: py-torch-nvidia-apex (#16050)

var/spack/repos/builtin/packages/py-torch-nvidia-apex/package.py

@@ -0,0 +1,41 @@
+# 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)
+
+
+class PyTorchNvidiaApex(PythonPackage, CudaPackage):
+    """A PyTorch Extension: Tools for easy mixed precision and
+    distributed training in Pytorch """
+
+    homepage = "https://github.com/nvidia/apex/"
+    git      = "https://github.com/nvidia/apex/"
+
+    phases = ['install']
+
+    version('master', branch='master')
+
+    depends_on('python@3:', type=('build', 'run'))
+    depends_on('py-setuptools', type='build')
+    depends_on('py-torch@0.4:', type=('build', 'run'))
+    depends_on('cuda@9:', when='+cuda')
+
+    variant('cuda', default=True, description='Build with CUDA')
+
+    def setup_build_environment(self, env):
+        if '+cuda' in self.spec:
+            env.set('CUDA_HOME', self.spec['cuda'].prefix)
+            if (self.spec.variants['cuda_arch'].value[0] != 'none'):
+                torch_cuda_arch = ';'.join(
+                    '{0:.1f}'.format(float(i) / 10.0) for i
+                    in
+                    self.spec.variants['cuda_arch'].value)
+                env.set('TORCH_CUDA_ARCH_LIST', torch_cuda_arch)
+
+    def install_args(self, spec, prefix):
+        args = super(PyTorchNvidiaApex, self).install_args(spec, prefix)
+        if spec.satisfies('^py-torch@1.0:'):
+            args.append('--cpp_ext')
+            if '+cuda' in spec:
+                args.append('--cuda_ext')
+        return args