Rikyf3
commented
1 week ago Try to disable hardware accelerator. You can find the option in the advanced tab
Open astrozag opened 1 month ago
Rikyf3
commented
1 week ago Try to disable hardware accelerator. You can find the option in the advanced tab
astrozag
commented
1 week ago Thanks. It worked.
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From: Riccardo Alberghi @.> Sent: Tuesday, November 5, 2024 10:20:26 AM To: Steffenhir/GraXpert @.> Cc: astrozag @.>; Author @.> Subject: Re: [Steffenhir/GraXpert] Denoise Error (Issue #195)
Try to disable hardware accelerator. You can find the option in the advanced tab
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Hi,
When I denoise on any model version I get the following error. Any advice?
2024-10-13 22:39:11,691 MainProcess root INFO Starting denoising 2024-10-13 22:39:17,701 MainProcess root INFO Available inference providers : ['DmlExecutionProvider', 'CPUExecutionProvider'] 2024-10-13 22:39:17,701 MainProcess root INFO Used inference providers : ['DmlExecutionProvider', 'CPUExecutionProvider'] 2024-10-13 22:39:19,124 MainProcess root ERROR [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Mul node. Name:'/encoders.0/encoders.0.0/Mul_8' Status Message: D:\a_work\1\s\onnxruntime\core\providers\dml\DmlExecutionProvider\src\MLOperatorAuthorImpl.cpp(2571)\onnxruntime_pybind11_state.pyd!00007FFD9EDBE0E8: (caller: 00007FFD9F5456D1) Exception(11) tid(19e8) 8007000E Not enough memory resources are available to complete this operation.
Traceback (most recent call last): File "D:\a\GraXpert\GraXpert\graxpert\application\app.py", line 350, in on_denoise_request File "D:\a\GraXpert\GraXpert\graxpert\denoising.py", line 118, in denoise File "C:\hostedtoolcache\windows\Python\3.10.11\x64\lib\site-packages\onnxruntime\capi\onnxruntime_inference_collection.py", line 220, in run onnxruntime.capi.onnxruntime_pybind11_state.RuntimeException: [ONNXRuntimeError] : 6 : RUNTIME_EXCEPTION : Non-zero status code returned while running Mul node. Name:'/encoders.0/encoders.0.0/Mul_8' Status Message: D:\a_work\1\s\onnxruntime\core\providers\dml\DmlExecutionProvider\src\MLOperatorAuthorImpl.cpp(2571)\onnxruntime_pybind11_state.pyd!00007FFD9EDBE0E8: (caller: 00007FFD9F5456D1) Exception(11) tid(19e8) 8007000E Not enough memory resources are available to complete this operation.
My laptop isn't top spec at all but before I go buy a new one, and I think it's a RAM error? If so, what size RAM is adequate for GraXpert?
Processor AMD Ryzen 3 2200U with Radeon Vega Mobile Gfx 2.50 GHz Installed RAM 4.00 GB (3.46 GB usable) System Windows 10 Home System type 64-bit operating system, x64-based processor