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Base namespace (#287)
* wip

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* up to assign operation.

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* fix Imax, IMin.

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* concat.

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* dynamicPartition

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* new ops up to gte.

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* wip

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* updated review items.

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* up to matchCondition.

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* wip

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* up to OneHot.

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* wip. up to permute.

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* wip. up to rank.

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* wip. up to scatterMul.

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* resolving code review issues.

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* wip. inclides UnsortedSegment ops.

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* wip. up to stridedSlice.

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* fix stridedSlice.

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* first pass of SDBaseops.kt complete.

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* fix review items.

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* wip

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* put branch in compilable state.

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* add NDBaseTest. fix dynamicPartition signature. failed fix of assign.

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* make tests public.

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* adds tests up to invertedPermutation.

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* fix ScalarEquals, Assign.

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* wip

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* updates NDBaseTest.

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* updates 'check' comments based on test pass/fail.

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* fix scalar ops. Update tests,

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* dev-tools review items. wip.

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* dev-tools code review items.

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* Test fixes

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* complete review items.

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* Comment for logged issue; fix test case

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* Fixes

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* More fixes

* wip

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* undo changes to Nd4jCpu.java

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* update tests.

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* Fixes and regenerate

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* Small test fixes

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* small fixes to tests.

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* Cleanup

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* Fixes

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* Small CUDAExecutioner fix

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* Fixes

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* Small CudaExecutioner fix

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* Another small CudaExecutioner fix

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* Another small CudaExecutioner fix

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Co-authored-by: Robert Altena <Rob@Ra-ai.com>
2020-04-20 16:57:00 +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