immich_machine_learning | [10/31/25 02:07:01] INFO Starting gunicorn 23.0.0 immich_machine_learning | [10/31/25 02:07:01] INFO Listening at: http://[::]:3003 (8) immich_machine_learning | [10/31/25 02:07:01] INFO Using worker: immich_ml.config.CustomUvicornWorker immich_machine_learning | [10/31/25 02:07:01] INFO Booting worker with pid: 9 immich_machine_learning | [10/31/25 02:07:02] INFO generated new fontManager immich_machine_learning | [10/31/25 02:07:03] INFO Started server process [9] immich_machine_learning | [10/31/25 02:07:03] INFO Waiting for application startup. immich_machine_learning | [10/31/25 02:07:03] INFO Created in-memory cache with unloading after 300s immich_machine_learning | of inactivity. immich_machine_learning | [10/31/25 02:07:03] INFO Initialized request thread pool with 16 threads. immich_machine_learning | [10/31/25 02:07:03] INFO Application startup complete. immich_machine_learning | [10/31/25 02:07:04] INFO Loading detection model 'PP-OCRv5_mobile' to memory immich_machine_learning | [10/31/25 02:07:04] INFO Setting execution providers to immich_machine_learning | ['CUDAExecutionProvider', 'CPUExecutionProvider'], immich_machine_learning | in descending order of preference immich_machine_learning | [10/31/25 02:07:04] INFO Using engine_name: onnxruntime immich_machine_learning | [10/31/25 02:07:08] INFO Loading recognition model 'PP-OCRv5_mobile' to immich_machine_learning | memory immich_machine_learning | [10/31/25 02:07:08] INFO Setting execution providers to immich_machine_learning | ['CUDAExecutionProvider', 'CPUExecutionProvider'], immich_machine_learning | in descending order of preference immich_machine_learning | *************** EP Error *************** immich_machine_learning | EP Error /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:123 std::conditional_t onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t = void] /onnxruntime_src/onnxruntime/core/providers/cuda/cuda_call.cc:116 std::conditional_t onnxruntime::CudaCall(ERRTYPE, const char*, const char*, ERRTYPE, const char*, const char*, int) [with ERRTYPE = cudaError; bool THRW = true; std::conditional_t = void] CUDA failure 900: operation not permitted when stream is capturing ; GPU=0 ; hostname=487e143366f2 ; file=/onnxruntime_src/onnxruntime/core/providers/cuda/cuda_execution_provider.cc ; line=283 ; expr=cudaDeviceSynchronize(); immich_machine_learning | immich_machine_learning | when using ['CUDAExecutionProvider', 'CPUExecutionProvider'] immich_machine_learning | Falling back to ['CPUExecutionProvider'] and retrying. immich_machine_learning | **************************************** immich_machine_learning | [10/31/25 02:07:09] INFO Using engine_name: onnxruntime immich_machine_learning | [10/31/25 02:07:09] INFO Initiating download: immich_machine_learning | https://www.modelscope.cn/models/RapidAI/RapidOCR/r immich_machine_learning | esolve/v3.4.0/resources/fonts/FZYTK.TTF immich_machine_learning | [10/31/25 02:07:10] INFO Download size: 3.09MB immich_machine_learning | [10/31/25 02:07:10] WARNING File exists but is invalid, redownloading: immich_machine_learning | /opt/venv/lib/python3.11/site-packages/rapidocr/mod immich_machine_learning | els/FZYTK.TTF immich_machine_learning | [10/31/25 02:07:10] INFO Initiating download: immich_machine_learning | https://www.modelscope.cn/models/RapidAI/RapidOCR/r immich_machine_learning | esolve/v3.4.0/resources/fonts/FZYTK.TTF immich_machine_learning | [10/31/25 02:07:10] INFO Successfully saved to: immich_machine_learning | /opt/venv/lib/python3.11/site-packages/rapidocr/mod immich_machine_learning | els/FZYTK.TTF immich_machine_learning | 2025-10-31 02:07:11.045622014 [E:onnxruntime:, sequential_executor.cc:516 ExecuteKernel] Non-zero status code returned while running Conv node. Name:'Conv.0' Status Message: CUDA error cudaErrorStreamCaptureUnsupported:operation not permitted when stream is capturing immich_machine_learning | [10/31/25 02:07:11] ERROR Exception in ASGI application