Due to the firewall, i could not install pytorch using the conda command. so I clone the pytorch from the github and install it according to the README.md 7, but i got the follow error:
/home/flml/pytorch/torch/lib/THC/THCAtomics.cuh(131): error: no instance of overloaded function “atomicCAS” matches the argument list
argument types are: (uint64_t *, uint64_t, uint64_t)
1 error detected in the compilation of “/tmp/tmpxft_0000559f_00000000-7_THCTensorIndex.cpp1.ii”.
CMake Error at THC_generated_THCTensorIndex.cu.o.cmake:267 (message):
Error generating file
/home/flml/pytorch/torch/lib/build/THC/CMakeFiles/THC.dir//./THC_generated_THCTensorIndex.cu.o
CMakeFiles/THC.dir/build.make:161: recipe for target ‘CMakeFiles/THC.dir/THC_generated_THCTensorIndex.cu.o’ failed
make[2]: *** [CMakeFiles/THC.dir/THC_generated_THCTensorIndex.cu.o] Error 1
make[2]: *** 正在等待未完成的任务…
CMakeFiles/Makefile2:67: recipe for target ‘CMakeFiles/THC.dir/all’ failed
make[1]: *** [CMakeFiles/THC.dir/all] Error 2
Makefile:127: recipe for target ‘all’ failed
make: *** [all] Error 2
Besides, The nvcc -V  and nvidia-smi command output the following lines:
nvcc: NVIDIA ® Cuda compiler driver
Copyright © 2005-2016 NVIDIA Corporation
Built on Tue_Jan_10_13:22:03_CST_2017
Cuda compilation tools, release 8.0, V8.0.61
±----------------------------------------------------------------------------+
| NVIDIA-SMI 375.66                 Driver Version: 375.66                    |
|-------------------------------±---------------------±---------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Quadro K620         Off  | 0000:01:00.0      On |                  N/A |
| 34%   40C    P8     1W /  30W |    262MiB /  1999MiB |      0%      Default |
±------------------------------±---------------------±---------------------+
±----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|    0       990    G   /usr/lib/xorg/Xorg                             148MiB |
|    0      1756    G   compiz                                         110MiB |
|    0      2299    G   /usr/lib/firefox/firefox                         1MiB |
±----------------------------------------------------------------------------+
Anyone can give some help to solve this ,thanks !!!