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deepjavalibrary / djl

An Engine-Agnostic Deep Learning Framework in Java
https://djl.ai
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Failed to load PyTorch native library - MacOS Big Sur 11.7.4 #2631

Closed s-bernard closed 1 year ago

s-bernard commented 1 year ago

Description

When running multi-engine demo: Exception in thread "main" ai.djl.engine.EngineException: Failed to load PyTorch native library

It is on an old MacBook Pro 15" mid 2014, MacOS Big Sur 11.7.4 Note: it should have this processor (https://www.intel.com/content/www/us/en/products/sku/83504/intel-core-i74870hq-processor-6m-cache-up-to-3-70-ghz/specifications.html) which support AVX2

Expected Behavior

No exception

Error Message

> Task :run
[DEBUG] 2023-06-02 15:48:51.254 [main] ModelZoo - Loading model with Criteria:
        Application: CV.OBJECT_DETECTION
        Input: interface ai.djl.modality.cv.Image
        Output: class ai.djl.modality.cv.output.DetectedObjects
        Engine: PyTorch
        Filter: {"size":"300","backbone":"resnet50","dataset":"coco"}
        No translator supplied

[DEBUG] 2023-06-02 15:48:51.274 [main] ModelZoo - Ignore ModelZoo ai.djl.mxnet by engine: PyTorch
[DEBUG] 2023-06-02 15:48:51.277 [main] Engine - Registering EngineProvider: MXNet
[DEBUG] 2023-06-02 15:48:51.278 [main] Engine - Registering EngineProvider: PyTorch
[DEBUG] 2023-06-02 15:48:51.279 [main] Engine - Found default engine: MXNet
[DEBUG] 2023-06-02 15:48:55.907 [main] ModelZoo - Checking ModelLoader: ai.djl.pytorch:resnet CV.IMAGE_CLASSIFICATION [
        ai.djl.pytorch/resnet/0.0.1/traced_resnet50 {"layers":"50","dataset":"imagenet"}
        ai.djl.pytorch/resnet/0.0.1/traced_resnet18 {"layers":"18","dataset":"imagenet"}
        ai.djl.pytorch/resnet/0.0.1/resnet101_v1 {"layers":"101","dataset":"imagenet"}
]
[DEBUG] 2023-06-02 15:48:55.908 [main] ModelZoo - application mismatch for ModelLoader: ai.djl.pytorch:resnet
[DEBUG] 2023-06-02 15:48:55.915 [main] ModelZoo - Checking ModelLoader: ai.djl.pytorch:resnet18_embedding CV.IMAGE_CLASSIFICATION [
        ai.djl.pytorch/resnet18_embedding/0.0.1/resnet18_embedding {}
]
[DEBUG] 2023-06-02 15:48:55.915 [main] ModelZoo - application mismatch for ModelLoader: ai.djl.pytorch:resnet18_embedding
[DEBUG] 2023-06-02 15:48:56.411 [main] ModelZoo - Checking ModelLoader: ai.djl.pytorch:ssd CV.OBJECT_DETECTION [
        ai.djl.pytorch/ssd/0.0.1/ssd_300_resnet50 {"size":"300","backbone":"resnet50","dataset":"coco"}
]
[DEBUG] 2023-06-02 15:48:56.418 [main] MRL - Preparing artifact: PyTorch, ai.djl.pytorch/ssd/0.0.1/ssd_300_resnet50 {"size":"300","backbone":"resnet50","dataset":"coco"}
[DEBUG] 2023-06-02 15:48:56.420 [main] AbstractRepository - Items to download: 2
[DEBUG] 2023-06-02 15:48:56.420 [main] AbstractRepository - Downloading artifact: https://mlrepo.djl.ai/model/cv/object_detection/ai/djl/pytorch/classes_coco.txt ...
Downloading:   0% |█                                       |[DEBUG] 2023-06-02 15:48:57.024 [main] AbstractRepository - Downloading artifact: https://mlrepo.djl.ai/model/cv/object_detection/ai/djl/pytorch/ssd/0.0.1/ssd_300_resnet50.pt.gz ...run
Downloading: 100% |████████████████████████████████████████|
Loading:     100% |████████████████████████████████████████|
[DEBUG] 2023-06-02 15:49:21.103 [main] CudaUtils - cudart library not found.
[DEBUG] 2023-06-02 15:49:21.104 [main] LibUtils - Using cache dir: /Users/samuel/.djl.ai/pytorch/1.13.1-cpu-osx-x86_64
[DEBUG] 2023-06-02 15:49:21.109 [main] LibUtils - Loading native library: /Users/samuel/.djl.ai/pytorch/1.13.1-cpu-osx-x86_64/libiomp5.dylib
[DEBUG] 2023-06-02 15:49:21.116 [main] LibUtils - Loading native library: /Users/samuel/.djl.ai/pytorch/1.13.1-cpu-osx-x86_64/libc10.dylib
[DEBUG] 2023-06-02 15:49:21.120 [main] LibUtils - Loading native library: /Users/samuel/.djl.ai/pytorch/1.13.1-cpu-osx-x86_64/libtorch_cpu.dylib
[DEBUG] 2023-06-02 15:49:22.013 [main] LibUtils - Loading native library: /Users/samuel/.djl.ai/pytorch/1.13.1-cpu-osx-x86_64/libtorch.dylib
[INFO ] 2023-06-02 15:49:22.016 [main] LibUtils - Downloading jni https://publish.djl.ai/pytorch/1.13.1/jnilib/0.22.1/osx-x86_64/cpu/libdjl_torch.dylib to cache ...
[DEBUG] 2023-06-02 15:49:23.200 [main] LibUtils - Loading native library: /Users/samuel/.djl.ai/pytorch/1.13.1-cpu-osx-x86_64/0.22.1-libdjl_torch.dylib
Exception in thread "main" 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:187)
        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 com.examples.MultiEngine.detectPersonWithPyTorchModel(MultiEngine.java:85)
        at com.examples.MultiEngine.main(MultiEngine.java:51)
Caused by: java.lang.UnsatisfiedLinkError: Can't load library: /Users/samuel/.djl.ai/pytorch/1.13.1-cpu-osx-x86_64/0.22.1-libdjl_torch.dylib
        at java.base/java.lang.ClassLoader.loadLibrary(ClassLoader.java:2393)
        at java.base/java.lang.Runtime.load0(Runtime.java:755)
        at java.base/java.lang.System.load(System.java:1953)
        at ai.djl.pytorch.jni.LibUtils.loadNativeLibrary(LibUtils.java:347)
        at ai.djl.pytorch.jni.LibUtils.loadLibrary(LibUtils.java:81)
        at ai.djl.pytorch.engine.PtEngine.newInstance(PtEngine.java:53)
        ... 8 more

> Task :run FAILED

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':run'.
> Process 'command '/Library/Java/JavaVirtualMachines/jdk-17.jdk/Contents/Home/bin/java'' finished with non-zero exit value 1

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

BUILD FAILED in 1m 36s
3 actionable tasks: 3 executed

How to Reproduce?

Run multi-engine demo.

Steps to reproduce

  1. git clone https://github.com/deepjavalibrary/djl-demo.git
  2. cd djl-demo/development/multi-engine/
  3. ./gradlew run

What have you tried to solve it?

  1. I tried to run the demo on another computer and it works.

Environment Info

> Task :engines:pytorch:pytorch-jni:processResources
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/linux-x86_64/cpu/libdjl_torch.so
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/linux-x86_64/cpu-precxx11/libdjl_torch.so
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/osx-x86_64/cpu/libdjl_torch.dylib
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/win-x86_64/cpu/djl_torch.dll
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/linux-aarch64/cpu-precxx11/libdjl_torch.so
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/linux-x86_64/cu117/libdjl_torch.so
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/linux-x86_64/cu117-precxx11/libdjl_torch.so
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/win-x86_64/cu117/djl_torch.dll
Downloading https://publish.djl.ai/pytorch/1.13.1/jnilib/0.23.0/osx-aarch64/cpu/libdjl_torch.dylib

> Task :integration:debugEnv
[DEBUG] - Registering EngineProvider: XGBoost
[DEBUG] - Registering EngineProvider: LightGBM
[DEBUG] - Registering EngineProvider: OnnxRuntime
[DEBUG] - Registering EngineProvider: MXNet
[DEBUG] - Registering EngineProvider: PyTorch
[DEBUG] - Registering EngineProvider: TensorFlow
[DEBUG] - Found default engine: MXNet
----------- System Properties -----------
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sun.jnu.encoding: UTF-8
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--------- Environment Variables ---------
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-------------- Directories --------------
temp directory: /var/folders/xs/p3pf4lvx1zvdx3hf1t6j1q8c0000gq/T
DJL cache directory: /Users/samuel/.djl.ai
Engine cache directory: /Users/samuel/.djl.ai

------------------ CUDA -----------------
[DEBUG] - cudart library not found.
GPU Count: 0

----------------- Engines ---------------
DJL version: 0.23.0-SNAPSHOT
[DEBUG] - Using cache dir: /Users/samuel/.djl.ai/mxnet/1.9.1-mkl-osx-x86_64
[DEBUG] - Loading mxnet library from: /Users/samuel/.djl.ai/mxnet/1.9.1-mkl-osx-x86_64/libmxnet.dylib
[DEBUG] - Using cache dir: /Users/samuel/.djl.ai/mxnet/1.9.1-mkl-osx-x86_64
Default Engine: MXNet:1.9.0, capabilities: [
        BLAS_APPLE,
        CPU_SSE,
        SIGNAL_HANDLER,
        LAPACK,
        CPU_SSE2,
        CPU_SSE3,
        CPU_SSE4_1,
        OPENCV,
        MKLDNN,
]
MXNet Library: /Users/samuel/.djl.ai/mxnet/1.9.1-mkl-osx-x86_64/libmxnet.dylib
Default Device: cpu()
PyTorch: 2
MXNet: 0
XGBoost: 10
LightGBM: 10
OnnxRuntime: 10
TensorFlow: 3

--------------- Hardware --------------
Available processors (cores): 8
Byte Order: LITTLE_ENDIAN
Free memory (bytes): 252016408
Maximum memory (bytes): 4294967296
Total memory available to JVM (bytes): 272629760
Heap committed: 272629760
Heap nonCommitted: 21757952
GCC:
Apple clang version 12.0.5 (clang-1205.0.22.9)
Target: x86_64-apple-darwin20.6.0
Thread model: posix
InstalledDir: /Library/Developer/CommandLineTools/usr/bin

BUILD SUCCESSFUL in 49s
50 actionable tasks: 13 executed, 37 up-to-date
frankfliu commented 1 year ago

PyTorch 1.13.+ doesn't support macOS 11 any more, you either upgrade your mac or use lower version of DJL. See: https://docs.djl.ai/master/engines/pytorch/pytorch-engine/index.html#macos