Hello
I am trying to install pytorch in Ubunut Mint 21 and use it with RTX 4000. First I’ve installed all drivers and cuda (from cuda_12.2.1_535.86.10_linux.run). Here are some outputs (local user - not root):
$ nividia-smi
Mon Aug 7 08:50:44 2023
±--------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.86.05 Driver Version: 535.86.05 CUDA Version: 12.2 |
|-----------------------------------------±---------------------±---------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA RTX A4000 Off | 00000000:01:00.0 Off | Off |
| 41% 40C P8 15W / 140W | 103MiB / 16376MiB | 0% Default |
| | | N/A |
±----------------------------------------±---------------------±---------------------+
±--------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 1143 G /usr/lib/xorg/Xorg 97MiB |
±--------------------------------------------------------------------------------------+
$ /usr/local/cuda/extras/demo_suite/deviceQuery
Starting…
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: “NVIDIA RTX A4000”
CUDA Driver Version / Runtime Version 12.2 / 12.2
CUDA Capability Major/Minor version number: 8.6
Total amount of global memory: 16101 MBytes (16882663424 bytes)
(48) Multiprocessors, (128) CUDA Cores/MP: 6144 CUDA Cores
GPU Max Clock rate: 1560 MHz (1.56 GHz)
Memory Clock rate: 7001 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 4194304 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 12.2, CUDA Runtime Version = 12.2, NumDevs = 1, Device0 = NVIDIA RTX A4000
Result = PASS
So, its seems for me drivers from nvidia are ok and cuda installation is ol
I’ve installed Anaconda and then I ’ ve created a dl_pytorch environment (with all anaconda packages). To install pytorch I used the following command:
(dl_pytorch) $ conda install pytorch torchvision torchaudio pytorch-cuda=11.8 cudatoolkit -c pytorch -c nvidia
(I am not sure I have to install cudatoolkit, so i 've tried to run the above command with and without cudatoolkit. None of them worlked out)
After installation, I tried to run the following command:
(dl_pytorch) $ python -c “import torch; print(torch.cuda.is_available())”
False
I am non-user in all above commands. I am using Ubuntu Mint. Any clues ?
Thanks