torch.cuda.is_avaliable()
return False
Collecting environment information…
PyTorch version: 1.2.0
Is debug build: False
CUDA used to build PyTorch: 10.0.130
ROCM used to build PyTorch: N/A
OS: Ubuntu 18.04.5 LTS (x86_64)
GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Clang version: Could not collect
CMake version: Could not collect
Python version: 3.6 (64-bit runtime)
Is CUDA available: False
CUDA runtime version: 10.0.130
GPU models and configuration:
GPU 0: TITAN RTX
GPU 1: TITAN RTX
GPU 2: TITAN RTX
GPU 3: TITAN RTX
GPU 4: TITAN RTX
GPU 5: TITAN RTX
GPU 6: TITAN RTX
GPU 7: TITAN RTX
Nvidia driver version: 450.80.02
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Versions of relevant libraries:
[pip3] numpy==1.19.4
[pip3] torch==1.2.0
[pip3] torchvision==0.4.0a0
[conda] _pytorch_select           0.2                       gpu_0
[conda] blas                      1.0                         mkl
[conda] cudatoolkit               10.0.130                      0
[conda] mkl                       2020.2                      256
[conda] mkl-service               2.3.0            py36he904b0f_0
[conda] numpy                     1.19.4           py36h8732dcd_1
[conda] pytorch                   1.2.0           cuda100py36h938c94c_0
[conda] torchvision               0.4.0           cuda100py36hecfc37a_0