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    ThomasDelteil
    @ThomasDelteil
    Lutz Roeder
    @lutzroeder
    @ThomasDelteil The default for dilate is (1,1). Any insights if (1,) is some special encoding are welcome. Currently the app shows the values present in the file. It filters defaults for other formats but they have to be added to the operator file as the app doesn’t depend on the MXNet runtime directly. Feel free to open an issues and will have a look.
    ThomasDelteil
    @ThomasDelteil
    I see, thanks @lutzroeder
    Lutz Roeder
    @lutzroeder
    @ThomasDelteil Added a few heuristics for some common defaults and pushed an update.
    ThomasDelteil
    @ThomasDelteil
    awesome :) I can see the dilate is hidden now :+1:
    nebw
    @nebw
    Hi, I'm trying to compile a mxnet model using NNVM as described here: http://nnvm.tvmlang.org/tutorials/from_mxnet.html#sphx-glr-tutorials-from-mxnet-py Everything works fine, except when I'm trying to compile with cuda as target with batchsize > 1. All NNVM tutorials and examples I could find also only use batchsize 1. The error is: RuntimeError: Batch size: 32 is too large for this schedule (topi/cuda/conv2d_nchw.py", line 527, in schedule_conv2d_nchw)
    Aaron Markham
    @aaronmarkham
    hey, anyone know what happened to data.mxnet.io?
    Arunkumar Venkataramanan
    @ArunkumarRamanan
    TenzTensor Vs MXNet Who is the winner?
    TensorFlow Vs MXNet Who is the winner?
    Alexander Konovalov
    @alexknvl
    depends on the judge
    my roommate had some pretty negative feedback about mxnet recently, which in my experience applies to the majority of such frameworks - non-existent or incomprehensible error reporting
    Ray Zhang
    @OneRaynyDay
    Hi there. I am currently contributing to mxnet on behalf of airbnb. For questions and discussion about development, should I be chatting in here(gitter), or in the slack channel?
    Anton Chernov
    @lebeg
    Wherever you prefer. In general you can use
    Bob Poekert
    @bobpoekert
    calling keras.backend.conv2d with the mxnet backend in a loss function gives me "MXNet Backend: Cannot automatically infer shape for convolution operator.Please provide input shape. Given input shape"
    is there some way to manually specify the input shape?
    AK
    @akuz
    I've built MXNet from source yesterday, and I really want to use it from my C++ project. But I find it unreasonably complicated to find out how to link to it properly, so that my app can find all the header files and all the compiled libraries. I am using cmake. Can anyone recommend a good tutorial/example? I've been searching and trying for two days without success.
    Anton Chernov
    @lebeg
    @akuz Now it is indeed very complicated to use the C++ module of MXNet because of multiple reasons including linking. The most simple way I see is using the c_api.h directly - it has all the needed functionality and is used by all language bindings. You can see an example of using the inference API in the (image-classification) example.
    khaotik
    @khaotik
    Hi, all. What's the right way send/recv tensors across nodes over network? I guess I can hack some zmq sockets together, but is there a standard way to do it?
    khaotik
    @khaotik
    For my use case, it's about separating data production / training pipeline. I'm producing synthetic data on the producer node and sending them to the training node.
    Steffen Rochel
    @srochel
    I'm suggesting to move MXNet related discussions to https://discuss.mxnet.io/ and ASF MXNet Slack channel. I'm offering to add you to ASF MXNet Slack channel (if your email is visible), but let me know if you are not interested or send request to dev@mxnet.apache.org to be added to ASF MXNet Slack channel. You also have the opportunity to subscribe to dev@mxnet.apache.org and user@mxnet.apache.org (more details as well on http://mxnet.incubator.apache.org/community/contribute.html). Looking forward to our collaboration.
    sam-h-bean
    @sam-h-bean
    I have some questions about the Scala API for the Symbol library
    I'm trying to figure out how to do something like this https://github.com/ufoym/mxnet/blob/master/example/vae/VAE.py#L83 however it seems the scala symbol api does not allow the mixing of symbols and constants like the python library does.
    It seems like if I want to use constants in my loss functions I'm going to have to have a very large argsDict when I go to train. Is there a better way>?
    Steffen Rochel
    @srochel
    I'm suggesting to move MXNet related discussions to https://discuss.mxnet.io/ and ASF MXNet Slack channel. I'm offering to add you to ASF MXNet Slack channel (if your email is visible), but let me know if you are not interested or send request to dev@mxnet.apache.org to be added to ASF MXNet Slack channel. You also have the opportunity to subscribe to dev@mxnet.apache.org and user@mxnet.apache.org (more details as well on http://mxnet.incubator.apache.org/community/contribute.html).
    Bob Poekert
    @bobpoekert
    should that ever happen or does that indicate a bug in mxnet?
    Steffen Rochel
    @srochel
    Hi Bob -
    I'm suggesting to move MXNet related discussions to https://discuss.mxnet.io/ and ASF MXNet Slack channel. I'm offering to add you to ASF MXNet Slack channel (if your email is visible), but let me know if you are not interested or send request to dev@mxnet.apache.org to be added to ASF MXNet Slack channel. You also have the opportunity to subscribe to dev@mxnet.apache.org and user@mxnet.apache.org (more details as well on http://mxnet.incubator.apache.org/community/contribute.html).
    Ashutosh Dwivedi
    @aashudwivedi
    I am trying to run the mxnet in distributed mode using spark as implemented here : https://github.com/apache/incubator-mxnet/tree/master/scala-package/spark
    but I am not able to run the examples / tests.
    Exception in thread "main" java.lang.NoClassDefFoundError: scala/collection/Seq at java.lang.Class.getDeclaredMethods0(Native Method) at java.lang.Class.privateGetDeclaredMethods(Class.java:2701) at java.lang.Class.privateGetMethodRecursive(Class.java:3048) at java.lang.Class.getMethod0(Class.java:3018) at java.lang.Class.getMethod(Class.java:1784) at sun.launcher.LauncherHelper.validateMainClass(LauncherHelper.java:544) at sun.launcher.LauncherHelper.checkAndLoadMain(LauncherHelper.java:526) Caused by: java.lang.ClassNotFoundException: scala.collection.Seq at java.net.URLClassLoader.findClass(URLClassLoader.java:381) at java.lang.ClassLoader.loadClass(ClassLoader.java:424) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349) at java.lang.ClassLoader.loadClass(ClassLoader.java:357) ... 7 more
    I have seen this error mostly when there's a mismatch between the scala versions but I am not able to figure out which versions might be a mismatch in this case
    all the libraries in pom are 2.11 version
    Aaron Markham
    @aaronmarkham
    @aashudwivedi there's a mxnet-scala chat room on the MXNet Slack - you might want to head over there!
    Josaped Moreno
    @androuino

    Hi, I just some help please. I have successfully trained a yolo3_darknet53_custom model and generated a json and params files, however when testing it with Java API, I was having this strange error:

    Exception in thread "main" java.lang.IllegalArgumentException: requirement failed: Mismatch between shape (100,1) and (1,100,4)
        at scala.Predef$.require(Predef.scala:224)
        at org.apache.mxnet.NDArray$$anonfun$9.apply(NDArray.scala:448)
        at org.apache.mxnet.NDArray$$anonfun$9.apply(NDArray.scala:445)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.Iterator$class.foreach(Iterator.scala:893)
        at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
        at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
        at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
        at scala.collection.AbstractTraversable.map(Traversable.scala:104)
        at org.apache.mxnet.NDArray$.concatenate(NDArray.scala:445)
        at org.apache.mxnet.module.BaseModule$$anonfun$2.apply(BaseModule.scala:267)
        at org.apache.mxnet.module.BaseModule$$anonfun$2.apply(BaseModule.scala:267)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
        at scala.collection.AbstractTraversable.map(Traversable.scala:104)
        at org.apache.mxnet.module.BaseModule.predict(BaseModule.scala:267)
        at org.apache.mxnet.infer.Predictor$$anonfun$11.apply(Predictor.scala:210)
        at org.apache.mxnet.infer.Predictor$$anonfun$11.apply(Predictor.scala:210)
        at org.apache.mxnet.infer.MXNetThreadPoolHandler$$anon$4.call(MXNetHandler.scala:73)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
    
    FAILURE: Build failed with an exception.
    
    * What went wrong:
    Execution failed for task ':ObjectDetectionTutorial.main()'.
    > Process 'command '/usr/lib/jvm/java-8-openjdk-amd64/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 1s
    2 actionable tasks: 1 executed, 1 up-to-date
    Process 'command '/usr/lib/jvm/java-8-openjdk-amd64/bin/java'' finished with non-zero exit value 1
    11:48:21: Task execution finished 'ObjectDetectionTutorial.main()'.

    My settings are: image size is 512, class is 1, and pretrained_base=False.
    This is the generated json file: https://gist.github.com/androuino/0b5e36c2fb39be2bda6cd8fc8bdadd05
    and this is the param model: https://filebin.net/n89gzmb285oxre2g

    Thank you so much.

    Aaron Markham
    @aaronmarkham
    @androuino - I recommend you check out these avenues as they have more traffic and people ready to answer:
    https://mxnet.incubator.apache.org/versions/master/community/contribute.html#mxnet-dev-communications
    the forum is pretty active and there's also a scala channel on the mxnet's slack
    Rajarajan
    @generaljam
    MXNet scala "Try loading mxnet-scala from native path" help me please , am doing it in IntelliJ maven