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Not sure what's going wrong with the GPU. I'm running CUDA 11.8
My nvidia-smi:
NVIDIA-SMI 545.23.06 Driver Version: 545.23.06 CUDA Version: 12.3 |
|-----------------------------------------+----------------------+----------------------+
| 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 GeForce GTX 750 Ti On | 00000000:01:00.0 On | N/A |
| 0% 30C P8 1W / 38W | 189MiB / 2048MiB | 4% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| 0 N/A N/A 981 G /usr/lib/xorg/Xorg 43MiB |
| 0 N/A N/A 1239 G /usr/bin/gnome-shell 69MiB |
| 0 N/A N/A 4197 G /usr/lib/xorg/Xorg 70MiB |
+---------------------------------------------------------------------------------------+
Error Message:
Success, saved engine to yolov8n.engine.NVIDIAGeForceGTX750Ti.fp16.1.1
Loaded engine size: 18 MiB
Trying to load shared library libcudnn.so.8
Loaded shared library libcudnn.so.8
Using cuDNN as plugin tactic source
Using cuDNN as core library tactic source
[MemUsageChange] Init cuDNN: CPU +0, GPU +9, now: CPU 226, GPU 266 (MiB)
Deserialization required 15763 microseconds.
[MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +0, GPU +19, now: CPU 0, GPU 19 (MiB)
Trying to load shared library libcudnn.so.8
Loaded shared library libcudnn.so.8
Using cuDNN as plugin tactic source
Using cuDNN as core library tactic source
[MemUsageChange] Init cuDNN: CPU +0, GPU +8, now: CPU 226, GPU 267 (MiB)
Total per-runner device persistent memory is 1472512
Total per-runner host persistent memory is 126032
Allocated activation device memory of size 18329600
[MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +19, now: CPU 0, GPU 38 (MiB)
CUDA lazy loading is enabled.
CUDA operation failed with code: 801(cudaErrorNotSupported), with message: operation not supported
terminate called after throwing an instance of 'std::runtime_error'
what(): CUDA operation failed with code: 801(cudaErrorNotSupported), with message: operation not supported
Aborted (core dumped)
The text was updated successfully, but these errors were encountered:
Not sure what's going wrong with the GPU. I'm running CUDA 11.8
My nvidia-smi:
Error Message:
The text was updated successfully, but these errors were encountered: