-
### Environment Info
Container: Docker with NO GPU
OS: AlmaLinux
CUDA installed: 12.2
Cudnn installed: 8.9.0
djl version: 0.29.0
onnxruntime_gpu version: 1.8.0
### Error Message
```
[root…
-
I have a NVIDIA RTX 4000 Ada with 20G RAM, CUDA installed and working
I created a CONDA enviroment with Python v3.10 and executed the following...
`pip install -r requirements.txt`
`pip uninsta…
-
如果dwpose阶段有`UserWarning: Specified provider 'CUDAExecutionProvider' is not in available provider names.Available providers: 'AzureExecutionProvider, CPUExecutionProvider'`,说明onnx没有用上gpu,可以如下double che…
-
Someting wrong but why? I'm sure the CUDA installed well.
PS D:\pythonProject\Deep-Live-Cam> python run.py --execution-provider cuda
WARNING:tensorflow:From D:\Program Files\Python311\Lib\site-p…
-
D:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:636 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasn't able to be loaded. Please install the correct ve…
-
Hello, I have installed onnxruntime-gpu==1.18.1, but why does it still prompt CUDA error, while it can run normally with CUP? Below is my error message, can you help me tell me how to run it or which …
-
CUDA 11.8 is installed:
```
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:41:10_Pacific_Daylight_Time_2022
Cuda compilation tools, releas…
-
The defalt cuda version for onnxruntim-gpu from pypi is cuda11.8. But I want to install the cuda12.x version. So I add extra url in my`project.toml` like
```
[[tool.rye.sources]]
name = "onnxruntim…
-
The interface opens successfully, but when I start Live, the face appears black. Why is this happening, and how can I fix it?
-
I am running the [phi3 vision directml](https://huggingface.co/microsoft/Phi-3-vision-128k-instruct-onnx-directml/tree/main/directml-int4-rtn-block-32) tutorial [code](https://onnxruntime.ai/docs/gena…