raver119 25e5c23eae
[WIP] Error handling (#169)
* CUDA reverse rewrite + couple of tests

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

* don't throw exception on invalid pointer

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

* data types validation for fastpath exec mode + 2 tests

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

* data types validation for fastpath exec mode + 2 tests

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

* ismax allowed dtypes tweak

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

* lastErrorCode + lastErrorMessage for native exceptions handling

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

* exportable ErrorReference

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

* check error codes in java

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

* - consume lastErrorCode
- fast_in dtype validation fix

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

* - sg/cb allowed output type change
- minor logging fix for data type validation

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