GPU can be detected, but cannot perform training or inference. Calculation result is wrong.
- Install PyTorch with ROCm support
Following offical installation guide: https://pytorch.org/get-started/locally/#linux-installation
Choose [Stable] -> [Linux] -> [Pip] -> [Python] -> [ROCm], It should be something like:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2
Remember the ROCm version here.
- Install ROCm drivers
- Download the installation script, MUST BE THE SAME VERSION AS PYTORCH
https://repo.radeon.com/amdgpu-install/5.4.2/ubuntu/focal/
File name should be: amdgpu-install_[version]_all.deb - Install the deb package
dpkg -i ./amdgpu-install*.deb
- Run the installation script
amdgpu-install --usecase=graphics,rocm,opencl -y --accept-eula
Note: Ryzen 7 5825u iGPU architecture is Vega 8, which suppose to use legacy opencl.
If you are using other AMD GPU or APU, modifications may required.
- Add current user to groups
To access device /dev/kfd, /dev/dri/card0 and /dev/dri/renderD*, current user must be added to group render and video.
sudo usermod -a -G render $LOGNAME
sudo usermod -a -G video $LOGNAME
If not added, only root is allowed to use ROCm
- Reboot the system
- Add environment variables in .bashrc
Ryzen 7 5825u is gfx90c, should be compatible with gfx900. We force ROCm to treat it as gfx900.
export PYTORCH_ROCM_ARCH=gfx900
export HSA_OVERRIDE_GFX_VERSION=9.0.0
- Check iGPU status
rocm-smi
From the output, you can see GPU[0].
======================= ROCm System Management Interface =======================
================================= Concise Info =================================
ERROR: GPU[0] : sclk clock is unsupported
================================================================================
GPU[0] : Not supported on the given system
GPU Temp (DieEdge) AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU%
0 43.0c 0.003W None 1200Mhz 0% auto Unsupported 43% 0%
================================================================================
============================= End of ROCm SMI Log ==============================
Also, you can check OpenCL status
clinfo
From the output you can see GPU has been detected.
Number of platforms: 1
Platform Profile: FULL_PROFILE
Platform Version: OpenCL 2.1 AMD-APP (3513.0)
Platform Name: AMD Accelerated Parallel Processing
Platform Vendor: Advanced Micro Devices, Inc.
Platform Extensions: cl_khr_icd cl_amd_event_callback
Platform Name: AMD Accelerated Parallel Processing
Number of devices: 1
Device Type: CL_DEVICE_TYPE_GPU
Vendor ID: 1002h
Board name:
Device Topology: PCI[ B#4, D#0, F#0 ]
Max compute units: 8
Max work items dimensions: 3
Max work items[0]: 1024
Max work items[1]: 1024
Max work items[2]: 1024
Max work group size: 256
- Test run
import torch
print(torch.cuda.device_count())
for i in range(torch.cuda.device_count()):
print(torch.cuda.get_device_properties(i))Output:
1
_CudaDeviceProperties(name='AMD Radeon Graphics', major=9, minor=0, total_memory=1024MB, multi_processor_count=8)