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Yurii Shyrma 76f3553679
Shyrma merge max ind (#443)
* - provide correct possible output types in mergeMaxIndex op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - cleaning up the unneeded backprop arg in reverse_bp op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - improve clipByNorm both ff and bp

Signed-off-by: Yurii <iuriish@yahoo.com>

* - implementation and testing clipByAvgNorm_bp op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - pass biases in any way in dnnl lstm op, they are zeros when user doesn't provide them to us

Signed-off-by: Yurii <iuriish@yahoo.com>

* - start working on mkldnn concat op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on mkldnn concat

Signed-off-by: Yurii <iuriish@yahoo.com>

* missing declaration fix

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

* - polishing mkl ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing and fixing bugs in mkl concat op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - fix linkage error for windows cuda build

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further conflicts resolving with master

Signed-off-by: Yurii <iuriish@yahoo.com>

* - fix format tags in mkldnn matmul op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide additional type cast in clip.cu

Signed-off-by: Yurii <iuriish@yahoo.com>

* - finally bug in mkldnn tanh_bp was caught

Co-authored-by: raver119@gmail.com <raver119@gmail.com>
2020-05-12 07:47:09 +03:00
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arbiter Import fix given recent refactoring 2020-05-11 12:25:31 +10:00
datavec Fix doc. (#8905) 2020-05-06 09:59:53 +02:00
deeplearning4j Update docs links to new website URLs [WIP] (#452) 2020-05-12 13:02:19 +10:00
jumpy Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
libnd4j Shyrma merge max ind (#443) 2020-05-12 07:47:09 +03:00
nd4j Update docs links to new website URLs [WIP] (#452) 2020-05-12 13:02:19 +10:00
nd4s Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
pydatavec Minor edits to README for pydatavec and pydl4j (#8336) 2019-12-06 08:10:38 +01:00
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rl4j Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
scalnet Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
.gitignore RL4J: Sanitize async learner (#327) 2020-04-20 11:21:01 +09:00
CONTRIBUTING.md Various fixes (#43) 2019-11-14 19:38:20 +11:00
Jenkinsfile Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
LICENSE Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
README.md Eclipse -> Konduit update (#188) 2020-01-27 16:03:00 +11:00
change-cuda-versions.sh Update dependencies to just released JavaCPP and JavaCV 1.5.3 (#374) 2020-04-14 19:36:14 +10:00
change-scala-versions.sh Timeouts and scala 2.12 for deeplearning4j-nlp-korean workaround (#380) 2020-04-20 10:26:00 +10:00
perform-release.sh Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
pom.xml Update dependencies for OpenBLAS 0.3.9-1 (#440) 2020-05-08 15:33:28 +10:00

README.md

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