Issue

[devnooob]

Hello, I'm getting the following error today, please tell me how to solve it

[6ThomasDittrich9]

Check my issue.

[Fedosyk]

Vea también mi error:
`ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
google-colab 1.0.0 requires pandas==1.5.3, but you have pandas 2.0.3 which is incompatible.
numba 0.56.4 requires numpy<1.24,>=1.18, but you have numpy 1.24.3 which is incompatible.
tensorflow 2.12.0 requires numpy<1.24,>=1.22, but you have numpy 1.24.3 which is incompatible.
tensorflow-metadata 1.14.0 requires protobuf<4.21,>=3.20.3, but you have protobuf 4.24.2 which is incompatible.
Cloning into 'refacer'...
remote: Enumerating objects: 306, done.
remote: Counting objects: 100% (111/111), done.
remote: Compressing objects: 100% (26/26), done.
remote: Total 306 (delta 95), reused 85 (delta 85), pack-reused 195
Receiving objects: 100% (306/306), 3.72 MiB | 12.14 MiB/s, done.
Resolving deltas: 100% (176/176), done.
/content/refacer
--2023-08-28 13:06:27-- https://huggingface.co/deepinsight/inswapper/resolve/main/inswapper_128.onnx
Resolving huggingface.co (huggingface.co)... 65.8.178.12, 65.8.178.118, 65.8.178.93, ...
Connecting to huggingface.co (huggingface.co)|65.8.178.12|:443... connected.
HTTP request sent, awaiting response... 401 Unauthorized

Username/Password Authentication Failed.
Trying FFMPEG h264_nvenc encoder
FFMPEG h264_nvenc encoder doesn't work -> Disabled.
Trying FFMPEG libx264 encoder
FFMPEG libx264 encoder works
Video codec for FFMPEG: libx264
TENSORRT mode with providers ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
download_path: /root/.insightface/models/buffalo_l
Downloading /root/.insightface/models/buffalo_l.zip from https://github.com/deepinsight/insightface/releases/download/v0.7/buffalo_l.zip...
100% 281857/281857 [00:03<00:00, 74450.81KB/s]
EP Error /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:121 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:114 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] CUDA failure 35: CUDA driver version is insufficient for CUDA runtime version ; GPU=-1350302208 ; hostname=c10207ca07df ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/cuda_execution_provider.cc ; line=238 ; expr=cudaSetDevice(info_.device_id);

when using ['TensorrtExecutionProvider', 'CUDAExecutionProvider', 'CPUExecutionProvider']
Falling back to ['CUDAExecutionProvider', 'CPUExecutionProvider'] and retrying.
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 383, in init
self._create_inference_session(providers, provider_options, disabled_optimizers)
File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 435, in create_inference_session
sess.initialize_session(providers, provider_options, disabled_optimizers)
RuntimeError: /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:121 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:114 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] CUDA failure 35: CUDA driver version is insufficient for CUDA runtime version ; GPU=-1350302208 ; hostname=c10207ca07df ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/cuda_execution_provider.cc ; line=238 ; expr=cudaSetDevice(info.device_id);

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/content/refacer/app.py", line 17, in
refacer = Refacer(force_cpu=args.force_cpu,colab_performance=args.colab_performance)
File "/content/refacer/refacer.py", line 35, in init
self.__init_apps()
File "/content/refacer/refacer.py", line 84, in __init_apps
sess_face = rt.InferenceSession(model_path, self.sess_options, providers=self.providers)
File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 394, in init
raise fallback_error from e
File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 389, in init
self._create_inference_session(self._fallback_providers, None)
File "/usr/local/lib/python3.10/dist-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 435, in create_inference_session
sess.initialize_session(providers, provider_options, disabled_optimizers)
RuntimeError: /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:121 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:114 std::conditional_t<THRW, void, onnxruntime::common::Status> onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t<THRW, void, onnxruntime::common::Status> = void] CUDA failure 35: CUDA driver version is insufficient for CUDA runtime version ; GPU=-1282846741 ; hostname=c10207ca07df ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/cuda_execution_provider.cc ; line=238 ; expr=cudaSetDevice(info.device_id);

`