Yurii Shyrma a8dd6713aa Shyrma scatter (#84)
* - improve performance of scatter (no lock) ops for 1D case

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

* - improve scatter lock op performance for 1D case

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

* - add kernel for verification of input indices-array elements in scatter and scatter_nd ops

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

* - provide fast indices checking on cpu side for scatter and gather osp

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

* - apply corrections requested by pr reviewer

Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-26 20:29:09 +03:00
2019-11-14 19:38:20 +11:00
2019-11-16 23:21:45 +11:00
2019-11-26 20:29:09 +03:00
2019-11-13 17:15:18 +03:00
2019-11-14 19:38:20 +11:00
2019-11-14 19:38:20 +11:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2019-09-10 19:09:46 +10:00

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%