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From Anirudh <anirudh2...@gmail.com>
Subject Re: [VOTE] Release Apache MXNet (incubating) version 1.2.0.RC0
Date Mon, 23 Apr 2018 22:57:28 GMT
Hi all,

Thank you Thomas for reporting this issue, and thanks Da for working on the
fix!
We(Da, Steffen, Haibin and me) had a discussion offline about this.

Next steps are the following:
1. Da will be working on the fix for the tutorials(onnx/super_resolution)
and marking MKL-DNN as "Experimental" in the release notes. After this I
will cut RC1.
2. We can hold off on the other four fixes from going into the release
until there are more comprehensive tests in-place.

I am cancelling the RC0 vote. We will make the necessary changes, cut a RC1
and have a vote again.
If you have any concerns or disagreements, please let me know.

Anirudh

On Mon, Apr 23, 2018 at 2:58 PM, Zheng, Da <dzzhen@amazon.com> wrote:

> I can reproduce the bug now. I'm working on a fix for the bug.
>
> Currently, there are a few more bug fixes for MKLDNN.
> https://github.com/apache/incubator-mxnet/pull/10651
> https://github.com/apache/incubator-mxnet/pull/10624
> https://github.com/apache/incubator-mxnet/pull/10619/files
> https://github.com/apache/incubator-mxnet/pull/10616
> https://github.com/apache/incubator-mxnet/pull/10591/files
>
> They are ready for review.
>
> I just discussed with @Anirudh. Maybe we should say in the release note
> that MKLDNN in MXNet is still experimental.
> What do you think?
>
> Best,
> Da
>
> ´╗┐On 4/21/18, 7:59 PM, "Zheng, Da" <dzzhen@amazon.com> wrote:
>
>     It seems I have problems of compiling scala when running "make docs".
> Please see the error below.
>
>     Are there any instructions of compiling these scala code? I guess I
> might miss some packages.
>     I tried installing libslf4j-java and didn't help.
>
>     Best,
>     Da
>
>     Execute "cd /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/../scala-package; scaladoc `find . -type f
> -name "*.scala" | egrep "\/core|\/infer" | egrep -v "Suite"`; exit 0"
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> objectdetector/SSDClassifierExample.scala:24: error: object kohsuke is
> not a member of package org
>     import org.kohsuke.args4j.{CmdLineParser, Option}
>                ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> objectdetector/SSDClassifierExample.scala:25: error: object slf4j is not
> a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> objectdetector/SSDClassifierExample.scala:41: error: class Option is
> abstract; cannot be instantiated
>       @Option(name = "--model-path-prefix", usage = "the input model
> directory and prefix of the model")
>        ^
>     warning: no valid targets for annotation on value modelPathPrefix - it
> is discarded unused. You may specify targets with meta-annotations, e.g.
> @(<error> @getter)
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> objectdetector/SSDClassifierExample.scala:43: error: class Option is
> abstract; cannot be instantiated
>       @Option(name = "--input-image", usage = "the input image")
>        ^
>     warning: no valid targets for annotation on value inputImagePath - it
> is discarded unused. You may specify targets with meta-annotations, e.g.
> @(<error> @getter)
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> objectdetector/SSDClassifierExample.scala:45: error: class Option is
> abstract; cannot be instantiated
>       @Option(name = "--input-dir", usage = "the input batch of images
> directory")
>        ^
>     warning: no valid targets for annotation on value inputImageDir - it
> is discarded unused. You may specify targets with meta-annotations, e.g.
> @(<error> @getter)
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> objectdetector/SSDClassifierExample.scala:51: error: not found: value
> LoggerFactory
>       private val logger = LoggerFactory.getLogger(
> classOf[SSDClassifierExample])
>                            ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> objectdetector/SSDClassifierExample.scala:109: error: not found: type
> CmdLineParser
>         val parser : CmdLineParser = new CmdLineParser(inst)
>                      ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> objectdetector/SSDClassifierExample.scala:109: error: not found: type
> CmdLineParser
>         val parser : CmdLineParser = new CmdLineParser(inst)
>                                          ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> imageclassifier/ImageClassifierExample.scala:21: error: object kohsuke is
> not a member of package org
>     import org.kohsuke.args4j.{CmdLineParser, Option}
>                ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> imageclassifier/ImageClassifierExample.scala:22: error: object slf4j is
> not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> imageclassifier/ImageClassifierExample.scala:40: error: not found: value
> LoggerFactory
>       private val logger = LoggerFactory.getLogger(classOf[
> ImageClassifierExample])
>                            ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> imageclassifier/ImageClassifierExample.scala:108: error: not found: type
> CmdLineParser
>         val parser: CmdLineParser = new CmdLineParser(inst)
>                     ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> imageclassifier/ImageClassifierExample.scala:108: error: not found: type
> CmdLineParser
>         val parser: CmdLineParser = new CmdLineParser(inst)
>                                         ^
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> imageclassifier/ImageClassifierExample.scala:157: error: class Option is
> abstract; cannot be instantiated
>       @Option(name = "--model-path-prefix", usage = "the input model
> directory")
>        ^
>     warning: no valid targets for annotation on value modelPathPrefix - it
> is discarded unused. You may specify targets with meta-annotations, e.g.
> @(<error> @getter)
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> imageclassifier/ImageClassifierExample.scala:159: error: class Option is
> abstract; cannot be instantiated
>       @Option(name = "--input-image", usage = "the input image")
>        ^
>     warning: no valid targets for annotation on value inputImagePath - it
> is discarded unused. You may specify targets with meta-annotations, e.g.
> @(<error> @getter)
>     ./examples/src/main/scala/org/apache/mxnetexamples/infer/
> imageclassifier/ImageClassifierExample.scala:161: error: class Option is
> abstract; cannot be instantiated
>       @Option(name = "--input-dir", usage = "the input batch of images
> directory")
>        ^
>     warning: no valid targets for annotation on value inputImageDir - it
> is discarded unused. You may specify targets with meta-annotations, e.g.
> @(<error> @getter)
>     ./core/src/main/scala/org/apache/mxnet/util/NativeLibraryLoader.scala:22:
> error: object slf4j is not a member of package org
>     import org.slf4j.{Logger, LoggerFactory}
>                ^
>     ./core/src/main/scala/org/apache/mxnet/util/NativeLibraryLoader.scala:27:
> error: not found: type Logger
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[NativeLibraryLoader])
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/util/NativeLibraryLoader.scala:27:
> error: not found: value LoggerFactory
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[NativeLibraryLoader])
>                                    ^
>     ./core/src/main/scala/org/apache/mxnet/util/WarnIfNotDisposed.scala:20:
> error: object slf4j is not a member of package org
>     import org.slf4j.{Logger, LoggerFactory}
>                ^
>     ./core/src/main/scala/org/apache/mxnet/util/WarnIfNotDisposed.scala:27:
> error: not found: type Logger
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[WarnIfNotDisposed])
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/util/WarnIfNotDisposed.scala:27:
> error: not found: value LoggerFactory
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[WarnIfNotDisposed])
>                                    ^
>     ./core/src/main/scala/org/apache/mxnet/LRScheduler.scala:19: error:
> object slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./core/src/main/scala/org/apache/mxnet/LRScheduler.scala:56: error:
> not found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(
> classOf[FactorScheduler])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/SGD.scala:59: error:
> value clip is not a member of object org.apache.mxnet.NDArray
>           resdGrad = NDArray.clip(resdGrad, -clipGradient, clipGradient)
>                              ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/AdaGrad.scala:54:
> error: value sqrt is not a member of object org.apache.mxnet.NDArray
>         val newWeight = (-lr * (resdGrad / NDArray.sqrt(history +
> this.epsilon) + this.wd * weight))
>                                                    ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/AdaGrad.scala:54:
> error: overloaded method value * with alternatives:
>       (x: Double)Double <and>
>       (x: Float)Float <and>
>       (x: Long)Float <and>
>       (x: Int)Float <and>
>       (x: Char)Float <and>
>       (x: Short)Float <and>
>       (x: Byte)Float
>      cannot be applied to (org.apache.mxnet.NDArray)
>         val newWeight = (-lr * (resdGrad / NDArray.sqrt(history +
> this.epsilon) + this.wd * weight))
>
>                 ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/Adam.scala:90:
> error: value clip is not a member of object org.apache.mxnet.NDArray
>           resdGrad = NDArray.clip(resdGrad, -clipGradient, clipGradient)
>                              ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/Adam.scala:99:
> error: value sqrt is not a member of object org.apache.mxnet.NDArray
>         val step = (learningRate * meanT / (NDArray.sqrt(varianceT) +
> epsilon))
>                                                     ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/NAG.scala:67: error:
> value clip is not a member of object org.apache.mxnet.NDArray
>           resdGrad = NDArray.clip(resdGrad, -clipGradient, clipGradient)
>                              ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/AdaDelta.scala:52:
> error: value clip is not a member of object org.apache.mxnet.NDArray
>           resdGrad = NDArray.clip(resdGrad, -clipGradient, clipGradient)
>                              ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/AdaDelta.scala:62:
> error: value sqrt is not a member of object org.apache.mxnet.NDArray
>           NDArray.sqrt(accDelta + this.epsilon) /
>                   ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/AdaDelta.scala:63:
> error: value sqrt is not a member of object org.apache.mxnet.NDArray
>           NDArray.sqrt(accG + this.epsilon) * resdGrad).disposeDepsExcept(accDelta,
> accG, resdGrad)
>                   ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/RMSProp.scala:56:
> error: value clip is not a member of object org.apache.mxnet.NDArray
>           resdGrad = NDArray.clip(resdGrad, -clipGradient, clipGradient)
>                              ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/RMSProp.scala:71:
> error: value sqrt is not a member of object org.apache.mxnet.NDArray
>           (this.gamma2 * delta - lr * (resdGrad / NDArray.sqrt(n - g * g +
> 1e-4f) + wd * weight))
>                                                           ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/RMSProp.scala:71:
> error: overloaded method value * with alternatives:
>       (x: Double)Double <and>
>       (x: Float)Float <and>
>       (x: Long)Float <and>
>       (x: Int)Float <and>
>       (x: Char)Float <and>
>       (x: Short)Float <and>
>       (x: Byte)Float
>      cannot be applied to (org.apache.mxnet.NDArray)
>           (this.gamma2 * delta - lr * (resdGrad / NDArray.sqrt(n - g * g +
> 1e-4f) + wd * weight))
>
>              ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/SGLD.scala:65:
> error: value clip is not a member of object org.apache.mxnet.NDArray
>           resdGrad = NDArray.clip(resdGrad, -clipGradient, clipGradient)
>                              ^
>     ./core/src/main/scala/org/apache/mxnet/optimizer/DCASGD.scala:61:
> error: value clip is not a member of object org.apache.mxnet.NDArray
>           resdGrad = NDArray.clip(resdGrad, -clipGradient, clipGradient)
>                              ^
>     ./core/src/main/scala/org/apache/mxnet/contrib/NDArray.scala:21:
> error: object AddNDArrayFunctions is not a member of package
> org.apache.mxnet
>     import org.apache.mxnet.AddNDArrayFunctions
>            ^
>     ./core/src/main/scala/org/apache/mxnet/contrib/NDArray.scala:23:
> error: not found: type AddNDArrayFunctions
>     @AddNDArrayFunctions(true)
>      ^
>     ./core/src/main/scala/org/apache/mxnet/contrib/Symbol.scala:21:
> error: object AddSymbolFunctions is not a member of package org.apache.mxnet
>     import org.apache.mxnet.AddSymbolFunctions
>            ^
>     ./core/src/main/scala/org/apache/mxnet/contrib/Symbol.scala:23:
> error: not found: type AddSymbolFunctions
>     @AddSymbolFunctions(true)
>      ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:22: error:
> object slf4j is not a member of package org
>     import org.slf4j.{LoggerFactory, Logger}
>                ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:60: error:
> not found: type Logger
>       val logger: Logger = LoggerFactory.getLogger(classOf[FeedForward])
>                   ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:60: error:
> not found: value LoggerFactory
>       val logger: Logger = LoggerFactory.getLogger(classOf[FeedForward])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:265: error:
> not found: type Logger
>               logger: Logger, workLoadList: Seq[Float]): Unit = {
>                       ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:338: error:
> not found: type Logger
>                       batchEndCallback: BatchEndCallback = null, logger:
> Logger = FeedForward.logger,
>                                                                          ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:299: error:
> not found: type Logger
>               batchEndCallback: BatchEndCallback, logger: Logger,
>                                                           ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:408: error:
> not found: type Logger
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[FeedForward])
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:408: error:
> not found: value LoggerFactory
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[FeedForward])
>                                    ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:486: error:
> not found: type Logger
>         private var logger: Logger = FeedForward.logger
>                             ^
>     ./core/src/main/scala/org/apache/mxnet/FeedForward.scala:641: error:
> not found: type Logger
>         def setLogger(logger: Logger): Builder = {
>                               ^
>     ./core/src/main/scala/org/apache/mxnet/Executor.scala:21: error:
> object slf4j is not a member of package org
>     import org.slf4j.{Logger, LoggerFactory}
>                ^
>     ./core/src/main/scala/org/apache/mxnet/Executor.scala:60: error: not
> found: type Logger
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[Executor])
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/Executor.scala:60: error: not
> found: value LoggerFactory
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[Executor])
>                                    ^
>     ./core/src/main/scala/org/apache/mxnet/NDArray.scala:24: error:
> object slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./core/src/main/scala/org/apache/mxnet/NDArray.scala:33: error: not
> found: type AddNDArrayFunctions
>     @AddNDArrayFunctions(false)
>      ^
>     ./core/src/main/scala/org/apache/mxnet/NDArray.scala:36: error: not
> found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(classOf[NDArray])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/NDArray.scala:88: warning:
> non-variable type argument org.apache.mxnet.NDArray in type pattern
> Seq[org.apache.mxnet.NDArray] (the underlying of
> Seq[org.apache.mxnet.NDArray]) is unchecked since it is eliminated by
> erasure
>               case ndArr: Seq[NDArray] => (ndArr.toArray,
> ndArr.toArray.map(_.handle))
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/NDArray.scala:452: error:
> value _crop_assign is not a member of object org.apache.mxnet.NDArray
>               NDArray._crop_assign(Map("out" -> ret,
>                       ^
>     ./core/src/main/scala/org/apache/mxnet/EvalMetric.scala:111: error:
> value argmax is not a member of object org.apache.mxnet.NDArray
>             NDArray.argmax(Map("axis" -> 1, "keepdims" -> true))(pred)
>                     ^
>     ./core/src/main/scala/org/apache/mxnet/EvalMetric.scala:113: error:
> value argmax_channel is not a member of object org.apache.mxnet.NDArray
>             NDArray.argmax_channel(pred)
>                     ^
>     ./core/src/main/scala/org/apache/mxnet/EvalMetric.scala:175: error:
> value argmax_channel is not a member of object org.apache.mxnet.NDArray
>           val predLabel = NDArray.argmax_channel(pred)
>                                   ^
>     ./core/src/main/scala/org/apache/mxnet/EvalMetric.scala:235: error:
> value pick is not a member of object org.apache.mxnet.NDArray
>           val p = NDArray.pick(Map("axis" -> this.axis))(pred, label)
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/ExecutorManager.scala:21:
> error: object slf4j is not a member of package org
>     import org.slf4j.{LoggerFactory, Logger}
>                ^
>     ./core/src/main/scala/org/apache/mxnet/ExecutorManager.scala:173:
> error: not found: type Logger
>       val logger: Logger = LoggerFactory.getLogger(classOf[
> DataParallelExecutorManager])
>                   ^
>     ./core/src/main/scala/org/apache/mxnet/ExecutorManager.scala:173:
> error: not found: value LoggerFactory
>       val logger: Logger = LoggerFactory.getLogger(classOf[
> DataParallelExecutorManager])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/module/BucketingModule.scala:21:
> error: object slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./core/src/main/scala/org/apache/mxnet/module/BucketingModule.scala:22:
> error: object slf4j is not a member of package org
>     import org.slf4j.Logger
>                ^
>     ./core/src/main/scala/org/apache/mxnet/module/BucketingModule.scala:41:
> error: not found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(
> classOf[BucketingModule])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/module/BaseModule.scala:25:
> error: object slf4j is not a member of package org
>     import org.slf4j.Logger
>                ^
>     ./core/src/main/scala/org/apache/mxnet/module/BaseModule.scala:34:
> error: not found: type Logger
>         typeName: String, throws: Boolean, logger: Logger): Unit = {
>                                                    ^
>     ./core/src/main/scala/org/apache/mxnet/module/SequentialModule.scala:21:
> error: object slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./core/src/main/scala/org/apache/mxnet/module/SequentialModule.scala:34:
> error: not found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(
> classOf[SequentialModule])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/module/Module.scala:25: error:
> object slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./core/src/main/scala/org/apache/mxnet/module/Module.scala:43: error:
> not found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(classOf[Module])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:23: error: object slf4j is not a member
> of package org
>     import org.slf4j.{Logger, LoggerFactory}
>                ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:29: error: not found: type Logger
>       private val logger: Logger = LoggerFactory.getLogger(classOf[
> DataParallelExecutorGroup])
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:29: error: not found: value LoggerFactory
>       private val logger: Logger = LoggerFactory.getLogger(classOf[
> DataParallelExecutorGroup])
>                                    ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:44: error: value crop is not a member of
> object org.apache.mxnet.NDArray
>                 NDArray.crop(Map(
>                         ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:50: error: value crop is not a member of
> object org.apache.mxnet.NDArray
>                 val dDstCopy: NDArray = NDArray.crop(Map(
>                                                 ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:572: error: value slice_axis is not a
> member of object org.apache.mxnet.NDArray
>                   val ogMySlice: NDArray = NDArray.slice_axis(
>                                                    ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:598: error: value slice_axis is not a
> member of object org.apache.mxnet.NDArray
>                 val labelMySlice: NDArray = NDArray.slice_axis(Map(
>                                                     ^
>     ./core/src/main/scala/org/apache/mxnet/module/BaseModule.scala:24:
> error: object slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./core/src/main/scala/org/apache/mxnet/module/BaseModule.scala:134:
> error: not found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(classOf[BaseModule])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/Model.scala:22: error: object
> slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./core/src/main/scala/org/apache/mxnet/Model.scala:31: error: not
> found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(classOf[Model])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/Monitor.scala:21: error:
> object slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     ./core/src/main/scala/org/apache/mxnet/Monitor.scala:37: error: not
> found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(classOf[Monitor])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/Monitor.scala:41: error: value
> norm is not a member of object org.apache.mxnet.NDArray
>           NDArray.norm(x) / math.sqrt(x.size.toDouble).toFloat
>                   ^
>     ./core/src/main/scala/org/apache/mxnet/KVStoreServer.scala:21: error:
> object slf4j is not a member of package org
>     import org.slf4j.{Logger, LoggerFactory}
>                ^
>     ./core/src/main/scala/org/apache/mxnet/KVStoreServer.scala:24: error:
> not found: type Logger
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[KVStoreServer])
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/KVStoreServer.scala:24: error:
> not found: value LoggerFactory
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[KVStoreServer])
>                                    ^
>     ./core/src/main/scala/org/apache/mxnet/KVStoreServer.scala:49: error:
> not found: type Logger
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[KVStoreServer])
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/KVStoreServer.scala:49: error:
> not found: value LoggerFactory
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[KVStoreServer])
>                                    ^
>     ./core/src/main/scala/org/apache/mxnet/Symbol.scala:22: error: object
> slf4j is not a member of package org
>     import org.slf4j.{Logger, LoggerFactory}
>                ^
>     ./core/src/main/scala/org/apache/mxnet/Symbol.scala:33: error: not
> found: type Logger
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[Symbol])
>                           ^
>     ./core/src/main/scala/org/apache/mxnet/Symbol.scala:33: error: not
> found: value LoggerFactory
>       private val logger: Logger = LoggerFactory.getLogger(
> classOf[Symbol])
>                                    ^
>     ./core/src/main/scala/org/apache/mxnet/Symbol.scala:826: error: not
> found: type AddSymbolFunctions
>     @AddSymbolFunctions(false)
>      ^
>     ./core/src/main/scala/org/apache/mxnet/Symbol.scala:829: error: not
> found: value LoggerFactory
>       private val logger = LoggerFactory.getLogger(classOf[Symbol])
>                            ^
>     ./core/src/main/scala/org/apache/mxnet/IO.scala:23: error: object
> slf4j is not a member of package org
>     import org.slf4j.LoggerFactory
>                ^
>     warning: there was one deprecation warning; re-run with -deprecation
> for details
>     warning: there were 11 feature warnings; re-run with -feature for
> details
>     model contains 119 documentable templates
>     ./core/src/main/scala/org/apache/mxnet/RecordIO.scala:99: warning:
> Tag '@param' must be followed by a symbol name
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/RecordIO.scala:99: warning:
> Tag '@param' is not recognised
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/BaseModule.scala:365:
> warning: Could not find any member to link for "IOException".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/BaseModule.scala:506:
> warning: Could not find any member to link for "grad1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/BaseModule.scala:488:
> warning: Could not find any member to link for "out1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/BaseModule.scala:204:
> warning: Could not find any member to link for "out1_batch1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:533: warning: Could not find any member
> to link for "grad1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/
> DataParallelExecutorGroup.scala:511: warning: Could not find any member
> to link for "out1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/Module.scala:500:
> warning: Could not find any member to link for "grad1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/Module.scala:476:
> warning: Could not find any member to link for "out1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/SequentialModule.scala:366:
> warning: Could not find any member to link for "grad1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/SequentialModule.scala:342:
> warning: Could not find any member to link for "out1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/BucketingModule.scala:360:
> warning: Could not find any member to link for "grad1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/module/BucketingModule.scala:336:
> warning: Could not find any member to link for "out1_dev1,".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/Executor.scala:256: warning:
> Could not find any member to link for "IllegalArgumentException".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/Executor.scala:244: warning:
> Could not find any member to link for "IllegalArgumentException".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/Executor.scala:232: warning:
> Could not find any member to link for "IllegalArgumentException".
>       /**
>       ^
>     ./core/src/main/scala/org/apache/mxnet/Executor.scala:220: warning:
> Could not find any member to link for "IllegalArgumentException".
>       /**
>       ^
>     27 warnings found
>     131 errors found
>     Execute "rm -rf /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/_build/html/api/scala/docs"
>     Execute "mkdir -p /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/_build/html/api/scala/docs"
>     Execute "cd /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/../scala-package && mv -f index
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/docs/_
> build/html/api/scala/docs"
>     Execute "cd /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/../scala-package && mv -f index.html
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/docs/_
> build/html/api/scala/docs"
>     Execute "cd /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/../scala-package && mv -f org
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/docs/_
> build/html/api/scala/docs"
>     Execute "cd /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/../scala-package && mv -f lib
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/docs/_
> build/html/api/scala/docs"
>     Execute "cd /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/../scala-package && mv -f index.js
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/docs/_
> build/html/api/scala/docs"
>     Execute "cd /home/ubuntu/apache-mxnet-src-
> 1.2.0.rc0-incubating/docs/../scala-package && mv -f package.html
> /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/docs/_
> build/html/api/scala/docs"
>     building [mo]: targets for 0 po files that are out of date
>     building [html]: targets for 153 source files that are out of date
>     updating environment: 153 added, 0 changed, 0 removed
>     reading sources... [  5%] api/perl/symbol
>
>     Exception occurred:
>       File "/usr/local/lib/python3.5/dist-packages/recommonmark/states.py",
> line 134, in run_role
>         content=content)
>     TypeError: 'NoneType' object is not callable
>     The full traceback has been saved in /tmp/sphinx-err-n1z6zazm.log, if
> you want to report the issue to the developers.
>     Please also report this if it was a user error, so that a better error
> message can be provided next time.
>     A bug report can be filed in the tracker at <
> https://github.com/sphinx-doc/sphinx/issues>. Thanks!
>     Makefile:75: recipe for target 'html' failed
>     make[1]: *** [html] Error 1
>     make[1]: Leaving directory '/home/ubuntu/apache-mxnet-
> src-1.2.0.rc0-incubating/docs'
>     Makefile:482: recipe for target 'docs' failed
>     make: *** [docs] Error 2
>
>     On 4/21/18, 5:15 PM, "Thomas DELTEIL" <thomas.delteil1@gmail.com>
> wrote:
>
>         @Anirudh, thanks for looking into it! However I do not understand
> what you
>         mean by 'set as CPU and not GPU'? MXNet compiled with mkldnn and
> cuda is
>         supposed to be able to work with both context no? There are other
> tutorials
>         that are running successfully on both CPU and GPU context.
>
>         @Da to reproduce:
>
>         Download the source of 1.2.0.rc0 and extract it, cd into it.
>
>         make docs
>         make clean
>         make -j $(nproc) USE_OPENCV=1 USE_BLAS=openblas USE_CUDA=1
>         USE_CUDA_PATH=/usr/local/cuda USE_CUDNN=1 USE_MKLDNN=1
>         export PYTHONPATH=$(pwd)/python
>         cd tests/nightly
>         python test_tutorial.py --tutorial onnx/super_resolution
>
>         you can also start a jupyter notebook server and try to run
>         docs/_build/html/tutorials/onnx/super_resolution.ipynb
>
>
>
>         2018-04-21 15:08 GMT-07:00 Zheng, Da <dzzhen@amazon.com>:
>
>         > @ThomasDelteil could you show me how to reproduce the problem?
> I'll take
>         > it a look as well.
>         >
>         > Best,
>         > Da
>         >
>         > Sent from my iPhone
>         >
>         > On Apr 21, 2018, at 1:12 PM, Anirudh Acharya <
> anirudhkrec@gmail.com
>         > <mailto:anirudhkrec@gmail.com>> wrote:
>         >
>         > @ThomasDelteil that might be due to the fact that in the
> example, the
>         > context is being set as CPU and not GPU.
>         > But I will still take a look as soon as possible.
>         >
>         >
>         > Regards
>         > Anirudh
>         >
>         > On Sat, Apr 21, 2018 at 11:10 AM, Thomas DELTEIL <
>         > thomas.delteil1@gmail.com<mailto:thomas.delteil1@gmail.com>>
>         > wrote:
>         >
>         > *-0*
>         >
>         > compiled from source on GPU CUDA/CUDNN, tutorials run fine.
>         >
>         > However:
>         > Compiled from source and adding USE_MKLDNN=1, the
> onnx/super_resolution
>         > tutorial is crashing on this line:
>         >
>         > ```
>         > from collections import namedtuple
>         > Batch = namedtuple('Batch', ['data'])
>         >
>         > # forward on the provided data batch
>         > mod.forward(Batch([mx.nd.array(test_image)]))
>         > ```
>         >
>         > Stack trace returned 8 entries:
>         > [bt] (0)
>         > /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
>         > mxnet/../../lib/libmxnet.so(dmlc::StackTrace[abi:cxx11]()+0x5b)
>         > [0x7feef615721b]
>         > [bt] (1)
>         > /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
>         > mxnet/../../lib/libmxnet.so(dmlc::LogMessageFatal::~
>         > LogMessageFatal()+0x28)
>         > [0x7feef6158258]
>         > [bt] (2)
>         > /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
>         > mxnet/../../lib/libmxnet.so(mxnet::engine::ThreadedEngine:
>         > :ExecuteOprBlock(mxnet::RunContext,
>         > mxnet::engine::OprBlock*)+0xfa9) [0x7feef8b1ad49]
>         > [bt] (3)
>         > /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
>         > mxnet/../../lib/libmxnet.so(std::_Function_handler<void
>         > (std::shared_ptr<dmlc::ManualEvent>),
>         > mxnet::engine::ThreadedEnginePerDevice::
> PushToExecute(mxnet::engine::
>         > OprBlock*,
>         > bool)::{lambda()#1}::operator()()
>         > const::{lambda(std::shared_ptr<dmlc::ManualEvent>)#1}>::_
>         > M_invoke(std::_Any_data
>         > const&, std::shared_ptr<dmlc::ManualEvent>&&)+0xe2)
> [0x7feef8b30d82]
>         > [bt] (4)
>         > /home/ubuntu/apache-mxnet-src-1.2.0.rc0-incubating/python/
>         > mxnet/../../lib/libmxnet.so(std::thread::_Impl<std::_Bind_
>         > simple<std::function<void
>         > (std::shared_ptr<dmlc::ManualEvent>)> (std::shared_ptr<dmlc::
>         > ManualEvent>)>
>         > ::_M_run()+0x4a) [0x7feef8b2af1a]
>         > [bt] (5) /home/ubuntu/anaconda3/bin/../
> lib/libstdc++.so.6(+0xafc5c)
>         > [0x7fef7cc79c5c]
>         > [bt] (6) /lib/x86_64-linux-gnu/libpthread.so.0(+0x76ba)
> [0x7fef7dec36ba]
>         > [bt] (7) /lib/x86_64-linux-gnu/libc.so.6(clone+0x6d)
> [0x7fef7dbf941d]
>         >
>         > Depending on how experimental we consider MKLDNN, that could be
> a *-1 *for
>         > me.
>         >
>         > 2018-04-21 9:01 GMT-07:00 Jun Wu <wujun.nju@gmail.com<mailto:wu
>         > jun.nju@gmail.com>>:
>         >
>         > +1
>         >
>         > Compiled from source. Ran the model quantization example. Both
> quantized
>         > model generation and inference can run successfully.
>         >
>         > On Fri, Apr 20, 2018 at 5:14 PM, Indhu <indhubharathi@gmail.com<
> mailto:
>         > indhubharathi@gmail.com>> wrote:
>         >
>         > +1
>         >
>         > Compiled from source on P3 instance. Tested the SSD example and
> some
>         > Gluon
>         > examples.
>         >
>         > On Wed, Apr 18, 2018, 7:40 PM Anirudh <anirudh2290@gmail.com
> <mailto:
>         > anirudh2290@gmail.com>> wrote:
>         >
>         > Hi everyone,
>         >
>         > This is a vote to release Apache MXNet (incubating) version
> 1.2.0.
>         > Voting
>         > will start now (Wednesday, April 18th) and end at 7:40 PM PDT,
>         > Saturday,
>         > April 21st.
>         >
>         > Link to the release notes:
>         >
>         >
>         > https://cwiki.apache.org/confluence/display/MXNET/
>         > Apache+MXNet+%28incubating%29+1.2.0+Release+Notes
>         >
>         > Link to the release candidate 1.2.0.rc0:
>         > https://github.com/apache/incubator-mxnet/releases/tag/1.2.0.rc0
>         >
>         > View this page, click on "Build from Source", and use the source
> code
>         > obtained from the 1.2.0.rc0 tag:
>         > https://mxnet.incubator.apache.org/install/index.html
>         >
>         > (Note: The README.md points to the 1.2.0 tag and does not work
> at the
>         > moment.)
>         >
>         > Please remember to TEST first before voting accordingly:
>         > +1 = approve
>         > +0 = no opinion
>         > -1 = disapprove (provide reason)
>         >
>         > Thanks,
>         >
>         > Anirudh
>         >
>         >
>         >
>         >
>         >
>
>
>
>
>

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