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Andrii T ec757f654d
Tensorflow import tests and fixes (#435)
* ignored ops checked

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* reconfigured AdjustContrast + commented primitive_gru

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor changes + exception ops commented

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* figured out non existent tf ops and random ops check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor changes to tensorflowop and randomness cheks

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* deconv2d tensorfloname removed

* Fix Flatbuffers ser/de with character fields

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

* TFGraphTestAllSameDiff tests passed except NonMaxSuppression

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor changes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* temporary ignored section added

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* ignores removed

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* org.nd4j.base.Preconditions -> org.nd4j.common.base.Preconditions

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* temsorflownames reverts and replace CopyHost

* ignored mod op tests due to known issue

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* rsestored mod after fixing in cpp level

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* ignored random_shuffle op test due to known issue

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* increased random_uniform mean/std comparator sensitivity

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* igmored random tests due to SameDiff RNG seed is not set.

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-05-20 00:18:52 +10:00
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README.md

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