> ## What's missing > > javacpp-presets-mxnet doesn't expose APIs form nnvm/c_api.h (some of current > python/gluon API depends on APIs in nnvm/c_api.h)
I've added that the other day, thanks to @frankfliu for pointing this out: https://github.com/bytedeco/javacpp-presets/commit/976e6f7d307b3f3855f39413c494d8f482c9adf6 > See javadoc: http://bytedeco.org/javacpp-presets/mxnet/apidocs/ > > 1. Java class name is “mxnet”, which is not following java naming conventions That's not hardcoded. We can use whatever name we want for that class. > 2. Each pointer has a corresponding java class, which is arguable. It's > necessary to expose them as strong type class if they meant to be used > directly by end developer. But they really should only be internal > implementation of the API. It's overkill to expose them as a Type instead of > just a pointer. We can map everything to `Pointer`, that's not a problem either. > 3. All the classes (except mxnet.java) are hand written. No, they are not. Everything in the `src/gen` directory here is generated at build time: https://github.com/bytedeco/javacpp-presets/tree/master/mxnet/src/gen/java/org/bytedeco/mxnet > 4. API mapping are hand coded as well. If you're talking about this file, yes, that's the only thing that is written manually: https://github.com/bytedeco/javacpp-presets/blob/master/mxnet/src/main/java/org/bytedeco/mxnet/presets/mxnet.java (The formatting is a bit crappy, I haven't touched it in a while, but we can make it look prettier like this: https://github.com/bytedeco/javacpp-presets/blob/master/onnxruntime/src/main/java/org/bytedeco/onnxruntime/presets/onnxruntime.java ) > ## Performance > > JavaCPP native library load takes a long time, it takes average _2.6 seconds_ > to initialize libmxnet.so with javacpp. > > Loader.load(org.bytedeco.mxnet.global.mxnet.class); Something's wrong, that takes less than 500 ms on my laptop, and that includes loading OpenBLAS, OpenCV, and a lookup for CUDA and MKL, which can obviously be optimized... In any case, we can debug that later to see what is going wrong on your end. > ## Issues > > The open source code on github doesn't match the binary release on maven > central: > > * the maven group and the java package name are different. Both the group ID and the package names are `org.bytedeco`, but in any case, if that gets maintained somewhere here, I imagine it would be changed to something like `org.apache.mxnet.xyz.internal.etc` > * c predict API is not included in maven version Yes it is: http://bytedeco.org/javacpp-presets/mxnet/apidocs/org/bytedeco/mxnet/global/mxnet.html > * Example code doesn't work with maven artifacts, it can only build with > snapshot version locally. https://github.com/bytedeco/javacpp-presets/tree/master/mxnet/samples works fine for me on Linux: ``` $ mvn -U clean compile exec:java -Djavacpp.platform.custom -Djavacpp.platform.host -Dexec.args=apple.jpg ... 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Best Result: Granny Smith (id=948, accuracy=0.96502399) run successfully ``` What is the error that you're getting? I've also tested on Mac just now and still no problems. -- You are receiving this because you were mentioned. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-mxnet/issues/17783#issuecomment-663921595
