Fariz Rahman b1bc7df160
tf.keras model import (#258)
* tf op initial

* ..

* protobuf parsing working

* model build working

* test passing

* headers

* conffix

* service loader + tests

* revert cuda version

* msg

* override

* refacc

* pom

* rem bad import

* dtype fix + const cast caaching

* rem unnecessary fields

* rem println

* rem dep

* refacc

* rem redundant arg

* Ignore TFOpLayer in DTypeTests

Signed-off-by: Alex Black <blacka101@gmail.com>

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-03-24 20:37:27 +11:00
2020-03-24 12:55:47 +11:00
2020-03-24 20:37:27 +11:00
2020-01-27 16:03:00 +11:00
2019-11-29 16:31:03 +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
2020-03-19 14:53:21 +09:00
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
Languages
Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
PureBasic 1.8%
Other 2.3%