I’m an Astrophysics graduate student interested in torch, for analysis of astronomical data.
I’m an absolute beginner with torch. I’ve been writing python using numpy and matplotlib for my data analysis for about 2 years.
The install suggested  at
http://pytorch.org/ 17
seemed to work
conda install pytorch torchvision -c pytorch
this is what transpired:

The following NEW packages will be INSTALLED:
cudatoolkit: 8.0-3                                                
pytorch:     0.3.0-py27_cuda8.0.61_cudnn7.0.3hf383a3f_4 pytorch   
torchvision: 0.2.0-py27hfb27419_1                       pytorch   

The following packages will be UPDATED:
conda:       4.3.29-py27_0                              conda-forge --> 4.3.30-py27h6ae6dc7_0
conda-env:   2.6.0-0                                    conda-forge --> 2.6.0-h36134e3_1    

Proceed ([y]/n)? y
cudatoolkit-8. 100% |##############################################################| Time: 0:02:16   2.48 MB/s
pytorch-0.3.0- 100% |##############################################################| Time: 0:03:08   2.32 MB/s
torchvision-0. 100% |##############################################################| Time: 0:00:00   2.44 MB/s
conda-4.3.30-p 100% |##############################################################| Time: 0:00:00   2.40 MB/s

I’m starting with the tutorial at
http://pytorch.org/tutorials/beginner/blitz/tensor_tutorial.html 4
I’ve downloaded the jupyter notebook. It runs, all but the last cell.
There is a GTX 1070 in the box
here is the error

let us run this cell only if CUDA is available
if torch.cuda.is_available():
x = x.cuda()
y = y.cuda()
x + y

RuntimeError                              Traceback (most recent call last)
 in ()
3     x = x.cuda()
4     y = y.cuda()
----> 5     x + y
/home/david/anaconda2/lib/python2.7/site-packages/torch/tensor.pyc in add(self, other)
291     # TODO: add tests for operators
292     def add(self, other):
–> 293         return self.add(other)
294     radd = add
295
RuntimeError: cuda runtime error (8) : invalid device function at /opt/conda/conda-bld/pytorch_1512378360668/work/torch/lib/THC/generated/…/generic/THCTensorMathPointwise.cu:301
to verify the card is seen
torch.cuda.is_available()  gives True
What do I need to do to correct the installation?