Open melodrama04 opened 10 months ago
This is an issue accessing the pytorch binary code that our pytorch engine is built on. Are you import Pytorch at runtime as opposed to through a jar? If so, make sure the notebook can access ~/.djl.ai/pytorch
where it will try to cache the native library. See if the file exist there.
Also, there should be another section to the error message
This is an issue accessing the pytorch binary code that our pytorch engine is built on. Are you import Pytorch at runtime as opposed to through a jar? If so, make sure the notebook can access
~/.djl.ai/pytorch
where it will try to cache the native library. See if the file exist there.Also, there should be another section to the error message
This is an issue accessing the pytorch binary code that our pytorch engine is built on. Are you import Pytorch at runtime as opposed to through a jar? If so, make sure the notebook can access
~/.djl.ai/pytorch
where it will try to cache the native library. See if the file exist there.Also, there should be another section to the error message
The file exits. And I can run the other notebook in this directory.The problem only happens when I try to run the pytorch one. Up above is all error message I got.
In djl.jupyter.load_pytorch_model.ipynb,when I am running " Criteria<Image, Classifications> criteria = Criteria.builder() .setTypes(Image.class, Classifications.class) .optModelPath(Paths.get("build/pytorch_models/resnet18")) .optOption("mapLocation", "false") // this model requires mapLocation for GPU .optTranslator(translator) .optProgress(new ProgressBar()).build();
ZooModel model = criteria.loadModel(); " it gets this information
"
ai.djl.engine.EngineException: Failed to load PyTorch native library at ai.djl.pytorch.engine.PtEngine.newInstance(PtEngine.java:90) at ai.djl.pytorch.engine.PtEngineProvider.getEngine(PtEngineProvider.java:40) at ai.djl.engine.Engine.getEngine(Engine.java:190) at ai.djl.Model.newInstance(Model.java:99) at ai.djl.repository.zoo.BaseModelLoader.createModel(BaseModelLoader.java:191) at ai.djl.repository.zoo.BaseModelLoader.loadModel(BaseModelLoader.java:154) at ai.djl.repository.zoo.Criteria.loadModel(Criteria.java:172) at .(#40:1) "
I didnt change code.
Environment Info
Engines --------------- DJL version: 0.24.0-SNAPSHOT [WARN ] - No matching cuda flavor for win found: cu120mkl/sm_61. [DEBUG] - Using cache dir: C:\Users\guest123.djl.ai\mxnet\1.9.1-mkl-win-x86_64 [INFO ] - Downloading libgcc_s_seh-1.dll ... [INFO ] - Downloading libgfortran-3.dll ... [INFO ] - Downloading libopenblas.dll ... [INFO ] - Downloading libquadmath-0.dll ... [INFO ] - Downloading mxnet.dll ... [DEBUG] - Loading mxnet library from: C:\Users\guest123.djl.ai\mxnet\1.9.1-mkl-win-x86_64\mxnet.dll [WARN ] - No matching cuda flavor for win found: cu120mkl/sm_61. Default Engine: MXNet:1.9.0, capabilities: [ SIGNAL_HANDLER, LAPACK, BLAS_OPEN, OPENMP, OPENCV, MKLDNN, ] MXNet Library: C:\Users\guest123.djl.ai\mxnet\1.9.1-mkl-win-x86_64\mxnet.dll Default Device: cpu() PyTorch: 2 MXNet: 0 XGBoost: 10 LightGBM: 10 OnnxRuntime: 10 TensorFlow: 3