753ce28a92
* - start working on implementation of sqrtm op Signed-off-by: Yurii <iuriish@yahoo.com> * - improving householder procedure Signed-off-by: Yurii <iuriish@yahoo.com> * - further polishing householder stuff Signed-off-by: Yurii <iuriish@yahoo.com> * - polishing hh pivoting qr procedure Signed-off-by: Yurii <iuriish@yahoo.com> * - polishing BiDiagonalUp procedure Signed-off-by: Yurii <iuriish@yahoo.com> * - polishing householder sequence class Signed-off-by: Yurii <iuriish@yahoo.com> * - polishing jacobi svd class Signed-off-by: Yurii <iuriish@yahoo.com> * - polishing svd stuff 1 Signed-off-by: Yurii <iuriish@yahoo.com> * - polishing svd stuff 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - implementation and testing class which performs Hessenberg decomposition of square matrix Signed-off-by: Yurii <iuriish@yahoo.com> * - add static method to JacobiSVD class which makes the continuous Givens rotation generation algorithm Signed-off-by: Yurii <iuriish@yahoo.com> * - implementation and testing auxiliary methods of Schur decomp class Signed-off-by: Yurii <iuriish@yahoo.com> * some references here and there Signed-off-by: raver119 <raver119@gmail.com> * - trying figure out difference between eigen and our Schur alg Signed-off-by: Yurii <iuriish@yahoo.com> * - testing fixing bugs in Schur decomposition op Signed-off-by: Yurii <iuriish@yahoo.com> * - start to implement class which performs calculation of eigen values and vectors Signed-off-by: Yurii <iuriish@yahoo.com> * - add to EigenValsAndVecs method which calculates complex eigen vectors Signed-off-by: Yurii <iuriish@yahoo.com> * - testing and fixing bugs in EigenValsAndVecs class Signed-off-by: Yurii <iuriish@yahoo.com> * - implementation and testing triangularSolver class Signed-off-by: Yurii <iuriish@yahoo.com> * Added a 2D routine for triangular systems solve. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored triangularSolve2D routine and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored another test for triangularSolve2D. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored test for triangularSolve for vector-bar case. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored triangularSolve2D routine and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * - implementation of FullPivLU class Signed-off-by: Yurii <iuriish@yahoo.com> * - fix bugs in FullPivLU::solve method Signed-off-by: Yurii <iuriish@yahoo.com> * - correct permutation vector in FullPivLU::solve Signed-off-by: Yurii <iuriish@yahoo.com> * - correct include headers Signed-off-by: Yurii <iuriish@yahoo.com> * - implementation of Sqrtm class Signed-off-by: Yurii <iuriish@yahoo.com> * - testing and fixing bugs in Sqrtm class Signed-off-by: Yurii <iuriish@yahoo.com> * - include sqrtm classes to cuda folder, investigate in what places synchronization doesn't work Signed-off-by: Yurii <iuriish@yahoo.com> * Added implementation for cuda triangularSolve2D and also refactored triangularSolve2D for cpu. Signed-off-by: shugeo <sgazeos@gmail.com> * Eliminated waste implementations. Signed-off-by: shugeo <sgazeos@gmail.com> * - make offset calculation faster in t<> methods Signed-off-by: Yurii <iuriish@yahoo.com> * - rename refference T& NDArray::t<> method Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on cuda sqrtm Signed-off-by: Yurii <iuriish@yahoo.com> * - provide correct synchronization to device in Sqrtm class Signed-off-by: Yurii <iuriish@yahoo.com> * - add tests for sqrtm op Signed-off-by: Yurii <iuriish@yahoo.com> * - correct fails which appeared while testing on jenkins Signed-off-by: Yurii <iuriish@yahoo.com> * - trying to find out mistake in svd::deflation method Signed-off-by: Yurii <iuriish@yahoo.com> * Revert "- trying to find out mistake in svd::deflation method" This reverts commit 19d37baddbc509028e4bc67bc932fe7449becdb6. * Revert "- trying to find out mistake in svd::deflation method" This reverts commit 19d37baddbc509028e4bc67bc932fe7449becdb6. Signed-off-by: Yurii <iuriish@yahoo.com> * - change call semantic of r<> and t<> methods Signed-off-by: Yurii <iuriish@yahoo.com> * - ged rid of ambiguity in * operator overloads for windows buikd Signed-off-by: Yurii <iuriish@yahoo.com> * - get rid of ambiguity in * operator overloads for windows build 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - get rid of ambiguity in * operator overloads for windows build 3 Signed-off-by: Yurii <iuriish@yahoo.com> * - resolve conflicts with master Signed-off-by: Yurii <iuriish@yahoo.com> * cmakelists updated Signed-off-by: raver119@gmail.com <raver119@gmail.com> * - minor fix in merge cpu helper - make use of reference getter Signed-off-by: Yurii <iuriish@yahoo.com> Co-authored-by: raver119 <raver119@gmail.com> Co-authored-by: shugeo <sgazeos@gmail.com> |
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| .github | ||
| arbiter | ||
| datavec | ||
| deeplearning4j | ||
| jumpy | ||
| libnd4j | ||
| nd4j | ||
| nd4s | ||
| pydatavec | ||
| pydl4j | ||
| rl4j | ||
| scalnet | ||
| .gitignore | ||
| CONTRIBUTING.md | ||
| Jenkinsfile | ||
| LICENSE | ||
| README.md | ||
| change-cuda-versions.sh | ||
| change-scala-versions.sh | ||
| perform-release.sh | ||
| pom.xml | ||
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:
- https://github.com/eclipse/deeplearning4j/tree/master/libnd4j
- https://github.com/eclipse/deeplearning4j/tree/master/nd4j
- https://github.com/eclipse/deeplearning4j/tree/master/datavec
- https://github.com/eclipse/deeplearning4j/tree/master/arbiter
- https://github.com/eclipse/deeplearning4j/tree/master/nd4s
- https://github.com/eclipse/deeplearning4j/tree/master/rl4j
- https://github.com/eclipse/deeplearning4j/tree/master/scalnet
- https://github.com/eclipse/deeplearning4j/tree/master/pydl4j
- https://github.com/eclipse/deeplearning4j/tree/master/jumpy
- https://github.com/eclipse/deeplearning4j/tree/master/pydatavec
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