Alexander Stoyakin 5e152c0d9a TF import tests - adding missing operations (#65)
* Add and fix mappings.

* Intermediate

* Added and fixed some mappings

* Added op

* Missing constructors added.

* Added new mappings

* SDImage wrappers and minor tweaks.

* Added missing constructor

* Some corrections

* Cleanup

* Small fixes

* Ops wrappers

* Minor fixes.

* Max Pooling

* MaxPoolWithArgmax

* Some fixes

* Ignores for failures

* Some ops fixed.

* Some fixes

* Missing package added

* Some fixes

* Ignored tests fixed.

* Some fixes

* Merge master

* bitcast fix

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

* Bitcast fixed
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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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Readme 108 MiB
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Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
PureBasic 1.8%
Other 2.3%