raver119 44a8d19ac6
[WIP] Broadcast changes (#8257)
* - provide correct call NDArray::applyBroadcast inside of NDArray::applyTrueBroadcast

Signed-off-by: Yurii <yurii@skymind.io>

* - provide new trueBroadcast helper

Signed-off-by: Yurii <yurii@skymind.io>

* example for yurii

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

* - provide new trueBroadcast helper for cpu

Signed-off-by: Yurii <yurii@skymind.io>

* - start working on new trueBroadcat helper for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* - further work on trueBroadcast for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* - fix bugs in cuda helper trueBroadcast

Signed-off-by: Yurii <yurii@skymind.io>
2019-10-01 09:10:19 +03:00
2019-10-01 09:10:19 +03:00
2019-09-19 11:52:20 +10:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2019-09-12 04:55:59 +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
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Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
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Other 2.3%