Ryan Nett 2a1431264f
Remove calculate output shape from java side (#151)
* remove some unneeded java-side output shape calculations

Signed-off-by: Ryan Nett <rnett@skymind.io>

* delete Broadcast

Signed-off-by: Ryan Nett <rnett@skymind.io>

* delete Linear and Module,

Signed-off-by: Ryan Nett <rnett@skymind.io>

* update Identity, HashCode, and NoOp

Signed-off-by: Ryan Nett <rnett@skymind.io>

* removed Cast java-side shape function, added tests and SDVariable.isEmpty

Signed-off-by: Ryan Nett <rnett@skymind.io>

* ignoring test w/ issues on master

Signed-off-by: Ryan Nett <rnett@skymind.io>

* noop needs more work, fixed BaseArithmeticBackprop and BaseDynamicTransform ops

merge in master for c++ build fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix EqualTo

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix other cond ops

Signed-off-by: Ryan Nett <rnett@skymind.io>

* "fake" ops calculateOutputShape() throws exception

Signed-off-by: Ryan Nett <rnett@skymind.io>

* use c++ shape calc for Linspace

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix exception message, move most to BaseCompatOp

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove SDVariable.isEmpty

Signed-off-by: Ryan Nett <rnett@skymind.io>

* remove commented out code

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-08-27 20:39:32 -07:00
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2019-06-06 15:21:15 +03:00

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/deeplearning4j/dl4j-examples

In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/deeplearning4j/dl4j-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%