raver119 fd6c0df024 [WIP] More CUDA fixes/updates (#62)
* CUDA reallocation update

Signed-off-by: raver119 <raver119@gmail.com>

* Legacy SoftMax/LogSoftMax/SoftMaxDerivative removed from cpp

Signed-off-by: raver119 <raver119@gmail.com>

* SoftMaxDerivative op removed

Signed-off-by: raver119 <raver119@gmail.com>

* few tests updates

Signed-off-by: raver119 <raver119@gmail.com>

* RNG fixes

Signed-off-by: raver119 <raver119@gmail.com>

* few more tests updates

Signed-off-by: raver119 <raver119@gmail.com>

* legacy Histogram/Pooling2D removed

Signed-off-by: raver119 <raver119@gmail.com>

* legacy Histogram removed

Signed-off-by: raver119 <raver119@gmail.com>

* histogram moved

Signed-off-by: raver119 <raver119@gmail.com>

* histogram moved cuda

Signed-off-by: raver119 <raver119@gmail.com>

* Histogram custom op

Signed-off-by: raver119 <raver119@gmail.com>
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Monorepo of Deeplearning4j

Welcome to the new monorepo of Deeplearning4j that contains the source code for all the following projects, in addition to the original repository of Deeplearning4j moved to deeplearning4j:

To build everything, we can use commands like

./change-cuda-versions.sh x.x
./change-scala-versions.sh 2.xx
./change-spark-versions.sh x
mvn clean install -Dmaven.test.skip -Dlibnd4j.cuda=x.x -Dlibnd4j.compute=xx

or

mvn -B -V -U clean install -pl '!jumpy,!pydatavec,!pydl4j' -Dlibnd4j.platform=linux-x86_64 -Dlibnd4j.chip=cuda -Dlibnd4j.cuda=9.2 -Dlibnd4j.compute=<your GPU CC> -Djavacpp.platform=linux-x86_64 -Dmaven.test.skip=true

An example of GPU "CC" or compute capability is 61 for Titan X Pascal.

Want some examples?

We have separate repository with various examples available: https://github.com/deeplearning4j/dl4j-examples

In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/deeplearning4j/dl4j-examples/tree/master/tutorials

Description
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Readme 108 MiB
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Java 62.6%
C++ 25.3%
Cuda 4.6%
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