Hello

In order to follow up with the current state of the pytorch version in github, I followed the below setup.

Firstly, I build the image with cuda 8.0-ubuntu 14.04

On top of this image, I made a container and installed anaconda and opencv.

bash Anaconda3-4.4.0-Linux-x86_64.sh
conda update conda
conda install opencv

After then, I cloned this github page and followed the instructions provided.

git clone https://github.com/pytorch/pytorch.git
export CMAKE_PREFIX_PATH=[anaconda root directory]
conda install numpy pyyaml mkl setuptools cmake gcc cffi
conda install -c soumith magma-cuda80
python setup.py install
conda install torchvision

After the above installation is finished, I tried to run my code but I got the following error....

Loading base network...
Traceback (most recent call last):
File "train_deform.py", line 93, in
net.cuda()
File "/root/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 147, in cuda
return self._apply(lambda t: t.cuda(device_id))
File "/root/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 118, in _apply
module._apply(fn)
File "/root/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 124, in _apply
param.data = fn(param.data)
File "/root/anaconda3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 147, in
return self._apply(lambda t: t.cuda(device_id))
File "/root/anaconda3/lib/python3.6/site-packages/torch/_utils.py", line 65, in cuda
return new_type(self.size()).copy(self, async)
File "/root/anaconda3/lib/python3.6/site-packages/torch/cuda/init.py", line 272, in new
_lazy_init()
File "/root/anaconda3/lib/python3.6/site-packages/torch/cuda/init.py", line 84, in _lazy_init
_check_driver()
File "/root/anaconda3/lib/python3.6/site-packages/torch/cuda/init.py", line 51, in _check_driver
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

I also checked nvidia-smi and nvcc --version in order to check whether GPU and CUDA is well specified, However there was no problem with in it.

I cant find the problem. Since I just installed magma-cuda80 right before the installing setup.py. What is the problem ?