Abdelrauf c783a5938a
Cmake compilation helper module (#478)
* Cmake: generate compilation units
Corrections. Added loops/cpu compilation units
Config files

Signed-off-by: Abdelrauf <rauf@konduit.ai>

* Cmake compilation helper module: fix cmake variable scope and some typos

Signed-off-by: Abdelrauf <rauf@konduit.ai>

* Cmake compilation helper: added other generations. should fix cuda
compilation

Signed-off-by: Abdelrauf <rauf@konduit.ai>

* crop_and_resize adopted new compilation units setup

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

* Cmake Compilation Helper: Added comments and some configurations file

Signed-off-by: Abdelrauf <rauf@konduit.ai>

* minor fix

Signed-off-by: Abdelrauf <rauf@konduit.ai>

Co-authored-by: raver119@gmail.com <raver119@gmail.com>
2020-06-01 11:47:21 +03:00
2020-05-30 21:13:33 +03:00
2020-05-30 21:13:33 +03:00
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
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Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
PureBasic 1.8%
Other 2.3%