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-rw-r--r--var/spack/repos/builtin/packages/py-torch/package.py18
1 files changed, 0 insertions, 18 deletions
diff --git a/var/spack/repos/builtin/packages/py-torch/package.py b/var/spack/repos/builtin/packages/py-torch/package.py
index 31bfb71657..619a621c2b 100644
--- a/var/spack/repos/builtin/packages/py-torch/package.py
+++ b/var/spack/repos/builtin/packages/py-torch/package.py
@@ -6,7 +6,6 @@
from spack import *
-# TODO: try switching to CMakePackage for more control over build
class PyTorch(PythonPackage, CudaPackage):
"""Tensors and Dynamic neural networks in Python
with strong GPU acceleration."""
@@ -107,26 +106,9 @@ class PyTorch(PythonPackage, CudaPackage):
# see https://github.com/pytorch/pytorch/issues/35149
conflicts('+fbgemm', when='@1.4.0')
- cuda_arch_conflict = ('This version of Torch/Caffe2 only supports compute '
- 'capabilities ')
-
conflicts('cuda_arch=none', when='+cuda',
msg='Must specify CUDA compute capabilities of your GPU, see '
'https://developer.nvidia.com/cuda-gpus')
- conflicts('cuda_arch=52', when='@1.3.0:+cuda',
- msg=cuda_arch_conflict + '>=5.3')
- conflicts('cuda_arch=50', when='@1.3.0:+cuda',
- msg=cuda_arch_conflict + '>=5.3')
- conflicts('cuda_arch=35', when='@1.3.0:+cuda',
- msg=cuda_arch_conflict + '>=5.3')
- conflicts('cuda_arch=32', when='@1.3.0:+cuda',
- msg=cuda_arch_conflict + '>=5.3')
- conflicts('cuda_arch=30', when='@1.3.0:+cuda',
- msg=cuda_arch_conflict + '>=5.3')
- conflicts('cuda_arch=30', when='@1.2.0:+cuda',
- msg=cuda_arch_conflict + '>=3.2')
- conflicts('cuda_arch=20', when='@1.0.0:+cuda',
- msg=cuda_arch_conflict + '>=3.0')
# Required dependencies
depends_on('cmake@3.5:', type='build')