b32dd1bf92
* resize_bicubic: allow more dtypes Signed-off-by: raver119 <raver119@gmail.com> * resize_bicubic: allow less dtypes Signed-off-by: raver119 <raver119@gmail.com> * Refactored resize_bicubic op to full conform with TF1.5 and tests. * Corrected test to proper data type output. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected double input test to float constant outputs. Signed-off-by: shugeo <sgazeos@gmail.com> * Finished with correction of tests for bicubic interpolated resizes expected. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed adjust_contrast ops to allow non-RGB inputs. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored adjust_contrast_v2 to conform with TF one. Signed-off-by: shugeo <sgazeos@gmail.com> * AdjustContrast tests activated * two typos fixed Signed-off-by: raver119 <raver119@gmail.com>
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/gym-java-client
- 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