Fariz Rahman bde0a4ec98
Python4j (#422)
* types

* pom fix

* basic exec + tests

* safe exec

* exec fixes + tests

* prim tests

* lists and dicts

* collections tests

* list test

* api

* exec and return all vars

* context manager + fixes

* leak fixes

* jobs tests

* gc basic working

* more gc fixed

* copyright headers

* try-catch-finally

* gc fixes

* validate var name (startswith _collapsed..)

* try block refac

* pythonexecutioner nits

* hashset->set

* call() gc fix

* gc fixes

* type check fix

* types fixes

* refacs

* rem numpyarray

* threadsafety check

* private->public

* threadsafe checks

* pythonGC test

* threading fixes + tests

* threading tests+

* threading test fixes

* make PythonException unchecked

* nits

* docstrings

* path fixes
2020-05-21 11:47:12 +10:00
2020-05-06 09:59:53 +02:00
2020-05-18 15:46:46 +10:00
2020-05-21 11:47:12 +10:00
2020-04-20 11:21:01 +09:00
2019-11-14 19:38:20 +11:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2020-05-21 11:47:12 +10:00
2020-01-27 16:03:00 +11:00

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
Languages
Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
PureBasic 1.8%
Other 2.3%