raver119 9e3c1b02b1
Perf improvements (#242)
* initial commit

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

* meh

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

* better ExpandDims impl

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

* better Squeeze impl

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

* better Softmax impl

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

* one test disabled

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

* more accurate impl

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

* - GraphProfiler now prints full shapeInfo instead of shape
- softmax typo fix

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/eclipse/deeplearning4j-examples

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

Description
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