95db34e389
* Update Japanese translation for Deeplearning4J UI (#8525) Signed-off-by: k-tamura <ktamura.biz.80@gmail.com> * RL4J: Remove processing done on observations in Policy & Async (#8471) * Removed processing from Policy.play() and fixed missing resets Signed-off-by: unknown <aboulang2002@yahoo.com> * Adjusted unit test to check if DQNs have been reset Signed-off-by: unknown <aboulang2002@yahoo.com> * Fixed a couple of problems, added and updated unit tests Signed-off-by: unknown <aboulang2002@yahoo.com> * Removed processing from AsyncThreadDiscrete Signed-off-by: unknown <aboulang2002@yahoo.com> * Fixed a few problems Signed-off-by: unknown <aboulang2002@yahoo.com> * python version bump * increase * RL4J: Replace gym-java-client with JavaCPP (#8595) * RL4J: Replace gym-java-client with JavaCPP Signed-off-by: Samuel Audet <samuel.audet@gmail.com> Co-authored-by: Kohei Tamura <ktamura.biz.80@gmail.com> Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com> Co-authored-by: Max Pumperla <max.pumperla@googlemail.com> Co-authored-by: Samuel Audet <samuel.audet@gmail.com>
35 lines
1.6 KiB
Markdown
35 lines
1.6 KiB
Markdown
# Monorepo of Deeplearning4j
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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](deeplearning4j):
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* https://github.com/eclipse/deeplearning4j/tree/master/libnd4j
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* https://github.com/eclipse/deeplearning4j/tree/master/nd4j
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* https://github.com/eclipse/deeplearning4j/tree/master/datavec
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* https://github.com/eclipse/deeplearning4j/tree/master/arbiter
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* https://github.com/eclipse/deeplearning4j/tree/master/nd4s
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* https://github.com/eclipse/deeplearning4j/tree/master/rl4j
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* https://github.com/eclipse/deeplearning4j/tree/master/scalnet
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* https://github.com/eclipse/deeplearning4j/tree/master/pydl4j
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* https://github.com/eclipse/deeplearning4j/tree/master/jumpy
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* https://github.com/eclipse/deeplearning4j/tree/master/pydatavec
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To build everything, we can use commands like
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```
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./change-cuda-versions.sh x.x
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./change-scala-versions.sh 2.xx
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./change-spark-versions.sh x
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mvn clean install -Dmaven.test.skip -Dlibnd4j.cuda=x.x -Dlibnd4j.compute=xx
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```
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or
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```
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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
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```
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An example of GPU "CC" or compute capability is 61 for Titan X Pascal.
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# Want some examples?
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We have separate repository with various examples available: https://github.com/eclipse/deeplearning4j-examples
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In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/eclipse/deeplearning4j-examples/tree/master/tutorials
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