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authorGlenn Johnson <glenn-johnson@uiowa.edu>2020-01-16 12:02:53 -0600
committerAdam J. Stewart <ajstewart426@gmail.com>2020-01-16 12:02:53 -0600
commit5aeab7dbe5215b58bf468e449b4fa6d4a82994ed (patch)
tree3601a4ced00f5c88eff8195198bdb6494873ca2d /var
parent8ad0be96aa83815c1ebb9d1b77f701466bbfa776 (diff)
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Use CudaPackage mixin for py-torch (#14540)
This PR adds CudaPackage in order to pick up the cuda/compiler conflicts defined in CudaPackage.
Diffstat (limited to 'var')
-rw-r--r--var/spack/repos/builtin/packages/py-torch/package.py3
1 files changed, 1 insertions, 2 deletions
diff --git a/var/spack/repos/builtin/packages/py-torch/package.py b/var/spack/repos/builtin/packages/py-torch/package.py
index b34d0b08f7..73f191d306 100644
--- a/var/spack/repos/builtin/packages/py-torch/package.py
+++ b/var/spack/repos/builtin/packages/py-torch/package.py
@@ -7,7 +7,7 @@ from spack import *
# TODO: try switching to CMakePackage for more control over build
-class PyTorch(PythonPackage):
+class PyTorch(PythonPackage, CudaPackage):
"""Tensors and Dynamic neural networks in Python
with strong GPU acceleration."""
@@ -61,7 +61,6 @@ class PyTorch(PythonPackage):
version('0.4.0', tag='v0.4.0', submodules=True)
version('0.3.1', tag='v0.3.1', submodules=True)
- variant('cuda', default=True, description='Enables CUDA build')
variant('cudnn', default=True, description='Enables the cuDNN build')
variant('magma', default=False, description='Enables the MAGMA build')
variant('fbgemm', default=False, description='Enables the FBGEMM build')