but i don't know what do you mean by Then try to start another container with nvidia-docker? I use nvidia-docker run --rm nvidia/cuda nvidia-smi and the output message is still docker: Error response from daemon: Container command 'nvidia-smi' not found or does not exist.. ...
Device version: 3.0 (OpenCL 3.0 CUDA)Vendor name: NVIDIADriver date: UNKNOWNDriver age: UNKNOWNDriver version: UNKNOWNBandwidth: 343 GB / sCompute score: 7,742.81Device name string: NVIDIA RTX A4000 Laptop GPUDevice vendor string: NVIDIA CorporationPlatform name string: NVIDIA C...
Device version: 3.0 (OpenCL 3.0 CUDA)Vendor name: NVIDIADriver date: UNKNOWNDriver age: UNKNOWNDriver version: UNKNOWNBandwidth: 720 GB / sCompute score: 14,740.6Device name string: NVIDIA GeForce RTX 3080 TiDevice vendor string: NVIDIA CorporationPlatform name string: NVIDIA C...
If however you encounter errors like 'expected type Float but found Half' or 'not implemented for Half' you can try starting invoke.py with the --precision=float32 flag:(invokeai) ~/InvokeAI$ python scripts/invoke.py --precision=float32...
Device version: 3.0 (OpenCL 3.0 CUDA)Vendor name: NVIDIADriver date: UNKNOWNDriver age: UNKNOWNDriver version: UNKNOWNBandwidth: 720 GB / sCompute score: 14,740.6Device name string: NVIDIA GeForce RTX 3080 TiDevice vendor string: NVIDIA CorporationPlatform name strin...
Device version: 3.0 (OpenCL 3.0 CUDA)Vendor name: NVIDIADriver date: UNKNOWNDriver age: UNKNOWNDriver version: UNKNOWNBandwidth: 720 GB / sCompute score: 14,740.6Device name string: NVIDIA GeForce RTX 3080 TiDevice vendor string: NVIDIA CorporationPlatform name string...
Precision is auto configured based on the device. If however you encounter errors like 'expected type Float but found Half' or 'not implemented for Half' you can try startinginvoke.pywith the--precision=float32flag: (invokeai)~/InvokeAI$ python scripts/invoke.py --precision=float32 ...
If you have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in full-precision mode as shown below.Similarly, specify full-precision mode on Apple M1 hardware.Precision is auto configured based on the device. If however you encounter errors like 'expected type ...
Device version: 3.0 (OpenCL 3.0 CUDA)Vendor name: NVIDIADriver date: UNKNOWNDriver age: UNKNOWNDriver version: UNKNOWNBandwidth: 720 GB / sCompute score: 14,740.6Device name string: NVIDIA GeForce RTX 3080 TiDevice vendor string: NVIDIA CorporationPlatform name string: NVIDIA CUD...
If however you encounter errors like 'expected type Float but found Half' or 'not implemented for Half' you can try starting invoke.py with the --precision=float32 flag:(invokeai) ~/InvokeAI$ python scripts/invoke.py --precision=float32...