73b5a508fc
Update dependencies to just released JavaCPP and JavaCV 1.5.2
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Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-07 17:57:34 +09:00
d82877b18b
Various SameDiff fixes ( #21 )
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* MKLDNN LSTM forward implementation (disabled pending #8331 )
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8318 add SameDiff.calculateGradientsAndOutputs
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* Disable mkldnn backprop for now - pending fix, issue #8335
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* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement
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* Small FlatBuffers serde fix, UInt8
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* #8135 ImagePreProcessingScaler - add segmentation support
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* #8319 Ensure listeners are called when they are supposed to be called
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* #8214 UNet (non-pretrained) last conv layer kernal size fix
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2019-11-02 11:25:53 +11:00
b816845797
Fixing nd4j-cuda build ( #20 )
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* Roll back recent fix to restore build.
* Fix compilation.
* presets updated
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-01 15:59:29 +02:00
45a40c8a89
DL4J/ND4J: Do pass on integer casts ( #15 )
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* Int cast fixes.
* Revert "Int cast fixes."
This reverts commit aa36e8ca
* Int casts
* Int cast
* Int casts
* Get rid of int casts. Dropping deprecated aggregate ops.
* java scatterUpdate changes
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* c++ scatterUpdate changes
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* Remove aggregated ops.
* Restored test
* Tests restored.
* Minor fixes
2019-10-31 11:23:09 +02:00
5a4d2e8b31
[WIP] SVD ( #16 )
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* - new SVD constructor
- OrthogonalDistribution now uses SVD custom op
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* shapes fixed
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2019-10-28 12:31:01 +03:00
d333d29099
SameDiff cleanup and fixes ( #12 )
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* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SameDiff API cleanup
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* More SameDiff cleanup
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* Small fixes
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* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour
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* #8252 TanhDerivative javadoc
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* #8225 Deconvolution2D input validation
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* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'
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* #8224 SameDiff.zero and .one create constants, not variables
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* More cleanup and fixes
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* Small test fix
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* Small fix
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* DL4J SameDiff fixes
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* Re-add hack for Deconvolution2DLayer until #8315 is resolved
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* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property
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* All ND4J init logging checks system property
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* Small tweak
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* Remove redundant device logging
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* One more fix
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* UX improvements
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* Deconv fix
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* Add deconv tests
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* Cleanup
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* Remove debug code
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2019-10-26 12:38:08 +11:00
3f0b4a2d4c
SameDiff execution, TF and memory management overhaul ( #10 )
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* SameDiff execution memory management improvements, round 1
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* Round 2
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* Round 3
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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs
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* Next steps
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* Next step
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* Cleanup
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* More polish
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* Fix
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* Add WeakIdentityHashmap
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* Session fixes for control ops and next steps
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* More fixes
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* Fixes
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* First steps for training session + in-line updating
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* Next steps
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* Fix losses and history during training
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* More fixes
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* BiasAdd and other fixes
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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)
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* Small fix
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* Cleanup
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* First steps for new dependency tracking approach
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* Start integrating dependency tracking for memory management
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* Non-control op dependency tracking works/passes
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* Switch/merge
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* Next steps
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* Cleanup and next steps
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* Small fixes
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* Fix issue dependency tracking for initial variables/constants
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* Add check for aliases when determining if safe to close array
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* First pass on new TF graph import class
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* Import fixes, op fixes
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* Cleanup and fixes for new TF import mapper
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* More cleanup
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* Partial implementation of new dependency tracker
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* Next steps
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* AbstractDependencyTracker for shared code
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* Overhaul SameDiff graph execution (dependency tracking)
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* More fixes, cleanup, next steps
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* Ad no-op memory manager, cleanup, fixes
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* Fix switch dependency tracking
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* INDArray.toString: no exception on closed arrays, just note closed
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* Fix enter and exit dependency tracking
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* TensorArray memory management fixes
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* Add unique ID for INDArray instances
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* Fix memory management for NextIteration outputs in multi-iteration loops
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* Remove (now unnecessary) special case handling for nested enters
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* Cleanup
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* Handle control dependencies during execution; javadoc for memory managers
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* Cleanup, polish, code comments, javadoc
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* Cleanup and more javadoc
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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released
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* Clean up arrays waiting on unexecuted ops at the end of execution
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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames
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* Fix order of operation issues for dependency tracker
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* Always clear op fields after execution to avoid leaks or unintended array reuse
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* Small fixes
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* Re-implement dtype conversion
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* Fix for control dependencies execution (dependency tracking)
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* Fix TF import overrides and filtering
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* Fix for constant enter array dependency tracking
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* DL4J Fixes
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* More DL4J fixes
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* Cleanup and polish
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* More polish and javadoc
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* More logging level tweaks, small DL4J fix
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* Small fix to DL4J SameDiffLayer
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* Fix empty array deserialization, add extra deserialization checks
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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests
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* Variable control dependencies serialization fix
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* Fix issue with removing inputs for ops
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* FlatBuffers NDArray deserialization fix
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* FlatBuffers NDArray deserialization fix
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* Small fix
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* Small fix
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* Final cleanup/polish
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2019-10-23 21:19:50 +11:00
f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
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KDTree optimization
2019-10-23 12:11:25 +03:00
83d958d536
Sparse matrix refactoring. ( #8238 )
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* remove sparse method from INDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove gemm
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove useage of n4j.sparseFactory
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* Nd4j.sparseFactory removed.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* sparseNDArray deleted.
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* iremove more sparse calls and constants.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove SparseBlasWrapper.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete BaseSparseBlaswrapper.
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* remove 3 sparse factory classes.
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* delete SparseCPULevel.
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* deletes JcusparseLevel, CUDASparselevel.
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* delete nativeCPU sparse classes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* removes sparse methods from NDArrayFactory.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* more deletes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete (ignored) tests. BaseSparseNDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* deletes ISparseNDArray.
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* remove sparse methods from indArray.
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* deletes sparse classes.
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2019-09-17 22:56:29 +03:00
a66e03355e
Merge remote-tracking branch 'fork/master'
2019-09-12 12:20:57 +10:00
07901ceb69
few more mkldnn dependencies removed
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Signed-off-by: raver119 <raver119@gmail.com>
2019-09-12 04:55:59 +03:00
98e2814879
Platform helpers ( #8216 )
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* platform helpers draft
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* typo
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* disable platform cmake
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* another draft
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* mkldnn convolution refactored
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* minor tweaks
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* one more safety check
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* prototype works
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* meh
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* force static library mode for mkldnn
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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware
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* bunch of small fixes
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* declare concurrent
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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
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* - avgpool2d_bp/maxpool2d_bp APIs update
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* - conv2d/batchnorm APIs update
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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update
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* all ops converted to MKLDNN 1.x
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* bunch of tweaks
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* namespace for platform helpers
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* make sure platform helpers aren't opimized out
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* build cpu_features on x86 systems
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* build cpu_features on x86 systems
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* more of cpu_features
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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory
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* F16C definition renamed
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* some mkldnn rearrangements
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* check supported instructions before doing anything
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* typo
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* missied impl
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* BUILD_PIC option
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* conv2d fix
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* avgpool3d fix
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* avgpool3d_bp fix
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* avgpool2d_bp leak fix
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* avgpool3d_bp leak fix
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* maxpool bp leaks fixed
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* printf removed
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* batchnorm fix
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* AVX warning/error polishing
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* Fix
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* More polish
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* Polish
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* remove previous MKL-DNN support layer
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* avx2 tweak
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* allow static for apple
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* exclude mkldnn in one more place
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* exclude mkldnn in one more place
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* restore OPENBLAS_PATH use
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* add runtime check for avx/avx2 support
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* convolution_auto
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* Add logic for helper argument
* minor test fix
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* few tweaks
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* few tweaks
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* skip OpTracker props for non-x86 builds
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* linux arm isn't x86 :)
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* avx-512
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* CUDA presets fix
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* BUILD_PIC
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* prefetchw for avx2
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* BUILD_PIC again
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2019-09-11 21:50:28 +03:00
c99f980513
INDArray javadoc ( #246 )
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* javadoc
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* javadoc
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* javadoc
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* review fixes.
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2019-09-09 13:09:31 +10:00
a76a44e198
Merge remote-tracking branch 'fork/master'
2019-09-05 22:04:25 +10:00
f25e3e71e5
remove lengthLong ( #236 )
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Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-05 11:19:38 +10:00
b7226bdd7a
Merge
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 00:54:11 +10:00
a90c7dd995
[WIP] Last set of changes ( #234 )
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* mmul op instead of cublasSgemm
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* transB
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* jcpp handles
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* bitwise and/or/xor
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* bitwise and/or/xor mapping
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* cuda/cublas version check
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* add expected version
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* cuda/cublas version check in java
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* one more error check
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* build fix
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* build fix
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* build fix
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* one more fix
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* skip CUDA version check for now
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* better wording
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* few more tweaks
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* few more tweaks
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2019-09-04 14:41:08 +03:00
7abc574eeb
Snapshot update ( #8194 )
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* fix double consumption of rng on cpu
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* Shyrma docs (#222 )
* - documenting and profiling matrix_set_diag cuda kernel
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* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag
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* cublasHandle sharing + lock
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* cublasHandle sharing + lock
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* Documentation from serialization/deserialization in NLP (#221 )
* refactoring
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* Javadocs
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* Javadoc fixed
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* Cleanup
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* dedicated lock for getCudaCublasHandle
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* Small fixes (#223 )
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* ELU DL4J fixes (#224 )
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* javadoc (#225 )
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* Small test compilation fix (#226 )
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* #8182 remove spark version suffix (#227 )
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* [WIP] Thread safety (#229 )
* sync after cublas*gemm
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* mutex for CublasHelper
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* don't store cublasHandle in LaunchContext, it's per-device anyway
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* some printout
Signed-off-by: raver119 <raver119@gmail.com>
* check for field instead
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* pew-pew
Signed-off-by: raver119 <raver119@gmail.com>
* don't release ContextBuffers until device changed
Signed-off-by: raver119 <raver119@gmail.com>
* small tweak
Signed-off-by: raver119 <raver119@gmail.com>
* some logging in sgemm
Signed-off-by: raver119 <raver119@gmail.com>
* stream sync
Signed-off-by: raver119 <raver119@gmail.com>
* some more logging
Signed-off-by: raver119 <raver119@gmail.com>
* some more error checks
Signed-off-by: raver119 <raver119@gmail.com>
* one fancy test
Signed-off-by: raver119 <raver119@gmail.com>
* one fancy test
Signed-off-by: raver119 <raver119@gmail.com>
* minor AffinityManager fix
Signed-off-by: raver119 <raver119@gmail.com>
* cudaEvent error logging improvement
Signed-off-by: raver119 <raver119@gmail.com>
* ConstantHelper thread safety
Signed-off-by: raver119 <raver119@gmail.com>
* - minor corrections in ConstantTadHelper
Signed-off-by: Yurii <yurii@skymind.io>
* ConstantShapeHelper thread safety
Signed-off-by: raver119 <raver119@gmail.com>
* ConstantTadHelper.cu updated
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* logging off
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* logging off
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-03 22:02:02 +03:00
dddc8a1143
[WIP] Thread safety ( #229 )
...
* sync after cublas*gemm
Signed-off-by: raver119 <raver119@gmail.com>
* mutex for CublasHelper
Signed-off-by: raver119 <raver119@gmail.com>
* don't store cublasHandle in LaunchContext, it's per-device anyway
Signed-off-by: raver119 <raver119@gmail.com>
* some printout
Signed-off-by: raver119 <raver119@gmail.com>
* check for field instead
Signed-off-by: raver119 <raver119@gmail.com>
* pew-pew
Signed-off-by: raver119 <raver119@gmail.com>
* don't release ContextBuffers until device changed
Signed-off-by: raver119 <raver119@gmail.com>
* small tweak
Signed-off-by: raver119 <raver119@gmail.com>
* some logging in sgemm
Signed-off-by: raver119 <raver119@gmail.com>
* stream sync
Signed-off-by: raver119 <raver119@gmail.com>
* some more logging
Signed-off-by: raver119 <raver119@gmail.com>
* some more error checks
Signed-off-by: raver119 <raver119@gmail.com>
* one fancy test
Signed-off-by: raver119 <raver119@gmail.com>
* one fancy test
Signed-off-by: raver119 <raver119@gmail.com>
* minor AffinityManager fix
Signed-off-by: raver119 <raver119@gmail.com>
* cudaEvent error logging improvement
Signed-off-by: raver119 <raver119@gmail.com>
* ConstantHelper thread safety
Signed-off-by: raver119 <raver119@gmail.com>
* - minor corrections in ConstantTadHelper
Signed-off-by: Yurii <yurii@skymind.io>
* ConstantShapeHelper thread safety
Signed-off-by: raver119 <raver119@gmail.com>
* ConstantTadHelper.cu updated
Signed-off-by: raver119 <raver119@gmail.com>
* logging off
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* logging off
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-03 22:00:38 +03:00
d3253aff3f
dedicated lock for getCudaCublasHandle
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-02 20:01:13 +03:00
2129d5bcac
cublasHandle sharing + lock
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-02 16:52:28 +03:00
18828f9725
cublasHandle sharing + lock
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-02 16:52:10 +03:00
7ded4416cb
Merge remote-tracking branch 'fork/master'
2019-09-02 18:52:12 +10:00
82c9dc5743
ELU fix ( #219 )
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 18:37:05 +10:00
6d04d30c94
INDArray.java javadoc ( #215 )
...
* javadoc
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* javadoc
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-02 16:06:20 +10:00
ef1de6a4aa
rcorbish #8617 ( #8188 )
...
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-01 07:17:36 +03:00
1003428a18
[WIP] Int broadcastables ( #195 )
...
* Removed invalid resource and fixed tests
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* legacy scalar/pairwise/broadcast int ops
Signed-off-by: raver119 <raver119@gmail.com>
* NDArray int broadcastables
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* few more bitwise tests
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* java side update
Signed-off-by: raver119 <raver119@gmail.com>
* Argument type changed for shift ops
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* legacy scalar/pairwise/broadcast int ops
Signed-off-by: raver119 <raver119@gmail.com>
* NDArray int broadcastables
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* few more bitwise tests
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* java side update
Signed-off-by: raver119 <raver119@gmail.com>
* Argument type changed for shift ops
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-08-30 10:12:40 +03:00
dcc2baa676
Version upgrades ( #199 )
...
* DataVec fixes for Jackson version upgrade
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J jackson updates + databind version 2.9.9.3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Shade snakeyaml along with jackson
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Version fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch DataVec legacy JSON format handling to mixins
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next set of fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup for legacy JSON mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade commons compress to 1.18; small test fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* New Jackson backward compatibility for DL4J - Round 1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* New Jackson backward compatibility for DL4J - Round 2
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More fixes, all but legacy custom passing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Legacy deserialization cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small amount of polish - legacy JSON
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade guava version
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* IEvaluation legacy format deserialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade play version to 2.7.3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update nd4j-parameter-server-status to new Play API
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update DL4J UI for new play version
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More play framework updates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove Spark 1/2 adapter code from DataVec
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* datavec-spark dependency cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J spark updates, pt 1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J spark updates, pt 2
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J spark updates, pt 3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J spark updates, pt 4
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Test fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Another fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Breeze upgrade, dependency cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add Scala 2.12 version to pom.xml
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* change-scala-versions.sh - add scala 2.12, remove 2.10
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Move Spark version properties to parent pom (now that only one spark version is supported)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DataVec Play fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* datavec play dependency fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Clean up old spark/jackson stuff
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup jackson unused dependencies
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Dropping redundant dependency
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Removed scalaxy dependency
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* DataVec fixes for Jackson version upgrade
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J jackson updates + databind version 2.9.9.3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Shade snakeyaml along with jackson
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Version fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch DataVec legacy JSON format handling to mixins
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next set of fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup for legacy JSON mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade commons compress to 1.18; small test fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* New Jackson backward compatibility for DL4J - Round 1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* New Jackson backward compatibility for DL4J - Round 2
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More fixes, all but legacy custom passing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Legacy deserialization cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small amount of polish - legacy JSON
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade guava version
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* IEvaluation legacy format deserialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade play version to 2.7.3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update nd4j-parameter-server-status to new Play API
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update DL4J UI for new play version
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More play framework updates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove Spark 1/2 adapter code from DataVec
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* datavec-spark dependency cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J spark updates, pt 1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J spark updates, pt 2
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J spark updates, pt 3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J spark updates, pt 4
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Test fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Another fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Breeze upgrade, dependency cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add Scala 2.12 version to pom.xml
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* change-scala-versions.sh - add scala 2.12, remove 2.10
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Move Spark version properties to parent pom (now that only one spark version is supported)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DataVec Play fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* datavec play dependency fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Clean up old spark/jackson stuff
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup jackson unused dependencies
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add shaded guava
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Dropping redundant dependency
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Removed scalaxy dependency
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Ensure not possible to import pre-shaded classes, and remove direct guava dependencies in favor of shaded
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* ND4J Shaded guava import fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DataVec and DL4J guava shading
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Arbiter, RL4J fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Build fixed
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Fix dependency
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Fix bad merge
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Jackson shading fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Set play secret, datavec-spark-inference-server
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for datavec-spark-inference-server
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Arbiter fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Arbiter fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small test fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-30 14:35:27 +10:00
b472d7d8c8
[WIP] few more fixes ( #182 )
...
* one noop test
Signed-off-by: raver119 <raver119@gmail.com>
* skip input validation for no-input ops
Signed-off-by: raver119 <raver119@gmail.com>
* - one more noop empty test
- one more validation before sync
Signed-off-by: raver119 <raver119@gmail.com>
* typo
Signed-off-by: raver119 <raver119@gmail.com>
* one more validation fix
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA empty reductions java side
Signed-off-by: raver119 <raver119@gmail.com>
* one svd test
Signed-off-by: raver119 <raver119@gmail.com>
* Corrected segment_mean helpers and added another test.
* Refactored segment_mean kernels to avoid race_condition.
2019-08-27 21:00:38 +03:00
a49f7c908b
[WIP] More fixes ( #178 )
...
* skip string arrays for device validation
Signed-off-by: raver119 <raver119@gmail.com>
* histogram_fixed_width now really supports indexing types
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 13:21:01 +03:00
05d45ec050
IndexReduce along dim CUDA fix
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 11:31:59 +03:00
df84bc7255
[WIP] More tweaks ( #173 )
...
* CUDA empty reduction
Signed-off-by: raver119 <raver119@gmail.com>
* - listdiff synchronization fix for CUDA
- listdiff test
Signed-off-by: raver119 <raver119@gmail.com>
* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 10:37:10 +03:00
25e5c23eae
[WIP] Error handling ( #169 )
...
* CUDA reverse rewrite + couple of tests
Signed-off-by: raver119 <raver119@gmail.com>
* don't throw exception on invalid pointer
Signed-off-by: raver119 <raver119@gmail.com>
* data types validation for fastpath exec mode + 2 tests
Signed-off-by: raver119 <raver119@gmail.com>
* data types validation for fastpath exec mode + 2 tests
Signed-off-by: raver119 <raver119@gmail.com>
* ismax allowed dtypes tweak
Signed-off-by: raver119 <raver119@gmail.com>
* lastErrorCode + lastErrorMessage for native exceptions handling
Signed-off-by: raver119 <raver119@gmail.com>
* exportable ErrorReference
Signed-off-by: raver119 <raver119@gmail.com>
* check error codes in java
Signed-off-by: raver119 <raver119@gmail.com>
* - consume lastErrorCode
- fast_in dtype validation fix
Signed-off-by: raver119 <raver119@gmail.com>
* - sg/cb allowed output type change
- minor logging fix for data type validation
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-26 19:57:51 +03:00
f03b0ee78f
[WIP] more fixes ( #159 )
...
* Added test for MatrixInverse with double input. Fixed matrixDeterminantKernel.
* Fixed kernels to avoid waste templating.
* Fixed logDeterminant kernel.
* Refactored type check for lup'
* - decrease blockDim value for zeta op
Signed-off-by: Yurii <yurii@skymind.io>
* Added print for compound matrix with CUDA.
* Refactored upper matrix invertion kernels.
* - provide move constructor and move assignment operator for OpArgsHoder class
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored usage of launch context.
* - add test for mergemax
Signed-off-by: Yurii <yurii@skymind.io>
* get rid of AveragingArrayProxy
Signed-off-by: raver119 <raver119@gmail.com>
* Refactoring of LUP inversion.
* Added prints for invertion.
* - add OpArgsHolder copy constructor and assignment operator
Signed-off-by: Yurii <yurii@skymind.io>
* Added test for lower inversion
* - fix bug in upsampling2d/3d_bp op
Signed-off-by: Yurii <yurii@skymind.io>
* Added expensive printfs to kernel.
* Refactored expensive kernel prints.
* Refactored expensive printfs
* - remove nullify
Signed-off-by: Yurii <yurii@skymind.io>
* Eliminated waste prints with tests.
* upsampling2d_bp test
Signed-off-by: raver119 <raver119@gmail.com>
* test updated
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 19:20:50 +03:00
729dc5e879
[WIP] size etc ( #155 )
...
* one test for size
Signed-off-by: raver119 <raver119@gmail.com>
* - few tests for size op
- size/rank/size_at ops now use p instead of assign
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 12:31:12 +03:00
c4e7d032cb
ND4J: Fix incorrectly bundled libraries on Linux ARM
...
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-08-23 16:54:54 +09:00
dbea687903
better handling of INDArray.close() ( #154 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 10:24:56 +03:00
243bf866c4
[WIP] Few fixes ( #153 )
...
* throw exception if op execution failed
Signed-off-by: raver119 <raver119@gmail.com>
* expected for test
Signed-off-by: raver119 <raver119@gmail.com>
* one more ismax test
Signed-off-by: raver119 <raver119@gmail.com>
* ismax view fix
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 09:00:10 +03:00
930b49e87f
[WIP] DeviceLocalNDArray updates ( #149 )
...
* ContextBuffers are released upon device change
Signed-off-by: raver119 <raver119@gmail.com>
* DeviceLocalNDArray updates + tests
Signed-off-by: raver119 <raver119@gmail.com>
* special array for delayed mode
Signed-off-by: raver119 <raver119@gmail.com>
* additional detach()
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-22 20:01:29 +03:00
3f4379927a
scalar constructor fix
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-21 08:50:59 +03:00
4310e87860
include path fix for java
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-21 07:32:21 +03:00
269d508ba5
[WIP] cross-device migrations ( #134 )
...
* two more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA device afinity tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* minor tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* prepareAction/registerAction for CustomOps
Signed-off-by: raver119 <raver119@gmail.com>
* lazy allocate host bufer before relocation
Signed-off-by: raver119 <raver119@gmail.com>
* one special test for migration in cpp
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* tests update for msvc
Signed-off-by: raver119 <raver119@gmail.com>
* logging
Signed-off-by: raver119 <raver119@gmail.com>
* stick to old col2im impl
Signed-off-by: raver119 <raver119@gmail.com>
* cudaStreams reorganization
Signed-off-by: raver119 <raver119@gmail.com>
* buffer size fix
Signed-off-by: raver119 <raver119@gmail.com>
* c++ data migration
Signed-off-by: raver119 <raver119@gmail.com>
* fix CropAndResize test
Signed-off-by: raver119 <raver119@gmail.com>
* - minor improvment
Signed-off-by: Yurii <yurii@skymind.io>
2019-08-20 18:52:41 +03:00
23c8738d4a
syncthreads ( #136 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-20 18:28:43 +03:00
38310777ee
fix for eclipse#8087 ( #129 )
...
* fix for #8087
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove commented code.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* removing trueScalar.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* wip
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* wip
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* wip
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove tueScalar.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-20 15:20:40 +09:00
aceb915557
[WIP] tests fixes ( #130 )
...
* no openmp for ClipByGlobalNorm
Signed-off-by: raver119 <raver119@gmail.com>
* one more bfloat16 rng test
Signed-off-by: raver119 <raver119@gmail.com>
* assertion fix
Signed-off-by: raver119 <raver119@gmail.com>
* - legacy IsMax gone
- linear IsMax gets shapeInfo argument
Signed-off-by: raver119 <raver119@gmail.com>
* get rid of legacy IsMax tests
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* IsMax is custom op now
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* more blocks for ismax
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* one more test
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* - sqrt test
- some legacy code removed from CudaExecutioner
- Transforms.asin tweaks
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* - TransformFloat fix
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* - ismax fix
- SpaceToBatchND/BatchToSpaceND wrappers
- couple of legacy tests removed
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2019-08-19 11:33:15 +03:00
3ba616a161
[WIP] Java wrappers ( #126 )
...
* shift/rshift/rotl/rotr java/sd wrappers
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* few additional wrappers
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* minor naming tweak
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2019-08-16 13:14:26 +03:00
2f3d7330ce
[WIP] build fix ( #124 )
...
* AffinityManager changes
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* build fixes
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2019-08-16 08:14:18 +03:00
987bb80c46
[WIP] right shift ops ( #118 )
...
* right shift ops
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* typo
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* rotr test
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2019-08-15 20:35:15 +03:00
53ca9a76e8
[WIP] multi-device support ( #80 )
...
* fix pad javadoc and @see links. (#72 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* [WIP] More fixes (#73 )
* special tests for ConstantTadHelper/ConstantShapeHelper
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* release methods for data buffers
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* delete temporary buffer Java side
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* delete temporary buffer Java side
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* delete temporary TadPack C++/Java side (#74 )
Signed-off-by: raver119 <raver119@gmail.com>
* Zoo model TF import test updates (#75 )
* argLine fix, update compression_gru comment
* updated comment for xception
* undid but commented argLine change
* updated xlnet comment
* copyright headers
* - new NDArray methods like()/ulike() (#77 )
- fix for depthwise_conv2d_bp + special test
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* upsampling2d fix CUDA
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* DL4J trace logging (#79 )
* MLN/CG trace logging for debugging
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* Tiny tweak
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* strided_slice_bp shape fn leak fix
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* SameDiff fixes and naming (#78 )
* remove SDVariable inplace methods
* import methods
* npe fix in OpVal
* removed SameDiff inplace ops from tests
* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything
* quick fixes
* javadoc
* SDVariable eval with placeholders
* use regex match
* better matching
* initial commit
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* initial commit
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* fix javadoc. (#76 )
* fix javadoc.
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* replace most @see with @link s.
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* 4 additional tests
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* launch context reorganization
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* LaunchContext reorganization
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* per-device LaunchContext
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* Various DL4J/ND4J fixes (#81 )
* #7954 Force refresh of UI when switching tabs on overview page
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* #8017 Concurrent modification exception (synchronize) fix
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* #8033 Don't initialize updater in middle of writing memory crash dump
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* #8208 Fix shape checks for ND4J int[] creator methods
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* #6385 #7992 Keras import naming fixes + cleanup
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* #8016 Upsampling3D - add NDHWC format support
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* ContextBuffers as separate entity
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* Refactor NativeOps.h to export C functions
* Actually export functions from NativeOps.h
* Adapt the Java wrappers in ND4J generated with JavaCPP
* Create C wrappers for some of the C++ classes currently used by ND4J
* ContextBuffers as separate entity
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* remove duplicate code in createBufferDetached. (#83 )
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* Keras model import - updater lr fix (#84 )
* Keras model import - updater lr fix
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* Keras model import - updater lr fix, cleanup
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* ContextBuffers as separate entity
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* ContextBuffers as separate entity
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* Fix functions of OpaqueVariablesSet
* thread-local buffers/affinity
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* thread safety for LaunchContext
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* more of thread safety
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* one more multi threaded test
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* SameDiff Convolution Config validation, better output methods (#82 )
* Conv Config validation & tests
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* stackOutputs utility method
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* use constructor for validation, support negative kernel sizes (infered from weights)
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* better output methods
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* move output to be with fit and evaluate
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* fixes
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* more fixes
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* refactor duplicate code from pad methods. (#86 )
* refactor duplicate code from pad methods.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* replace switch with if.
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* Various ND4J/DL4J fixes and improvements (#87 )
* Reshape and reallocate - small fixes
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* Reshape and reallocate - small fixes
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* #6488 ElementWiseVertex broadcast support
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* Constructors and broadcast supported it Transforms.max/min
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* #8054 ElementWiseVertex now supports broadcast inputs
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* #8057 Nd4j.create overload dtype fix
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* #7551 ND4J Shape validation fix
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* [WIP] Numpy boolean import (#91 )
* numpy bool type
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* numpy bool java side
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* remove create method with unused parameter. (#89 )
* remove create method with unused parameter.
* removed more unused methods.
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* removing more unused code.
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* last removal of unused code.
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* remove createSparse methods. (#92 )
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* Various ND4J/DL4J fixes (#90 )
* Deprecate Old*Op instances
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* #8063 #8054 Broadcast exceptions + cleanup inplace ops
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* Small fix
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* Remove bad test condition
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* #7993 Fix shape function issue in crop_and_resize op
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* DL4J SameDiff lambda layer fix
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* #8029 Fix for pnorm backprop math
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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93 )
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* createUninitializedDetached refactoring. (#94 )
* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
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* createUninitializedDetached refactored.
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* cuda build fix for issues introduced by recent refactoring
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* [WIP] More of CUDA (#95 )
* initial commit
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* Implementation of hashcode cuda helper. Working edition.
* Fixed parallel test input arangements.
* Fixed tests for hashcode op.
* Fixed shape calculation for image:crop_and_resize op and test.
* NativeOps tests. Initial test suite.
* Added tests for indexReduce methods.
* Added test on execBroadcast with NDArray as dimensions.
* Added test on execBroadcastBool with NDArray as dimensions.
* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.
* Added tests for execReduce with scalar results.
* Added reduce tests for non-empty dims array.
* Added tests for reduce3.
* Added tests for execScalar.
* Added tests for execSummaryStats.
* - provide cpu/cuda code for batch_to_space
- testing it
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* - remove old test for batch_to_space (had wrong format and numbers were not checked)
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* Fixed complilation errors with test.
* Added test for execTransformFloat.
* Added test for execTransformSame.
* Added test for execTransformBool.
* Added test for execTransformStrict.
* Added tests for execScalar/execScalarBool with TADs.
* Added test for flatten.
* - provide cpu/cuda code for space_to_Batch operaion
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* Added test for concat.
* comment unnecessary stuff in s_t_b
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* Added test for specialConcat.
* Added tests for memcpy/set routines.
* Fixed pullRow cuda test.
* Added pullRow test.
* Added average test.
* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)
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* - debugging and fixing cuda tests in JavaInteropTests file
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* - correct some tests
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* Added test for shuffle.
* Fixed ops declarations.
* Restored omp and added shuffle test.
* Added convertTypes test.
* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.
* Added sort tests.
* Added tests for execCustomOp.
* - further debuging and fixing tests terminated with crash
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* Added tests for calculateOutputShapes.
* Addded Benchmarks test.
* Commented benchmark tests.
* change assertion
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* Added tests for apply_sgd op. Added cpu helper for that op.
* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.
* Added test for assign broadcastable.
* Added tests for assign_bp op.
* Added tests for axpy op.
* - assign/execScalar/execTransformAny signature change
- minor test fix
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* Fixed axpy op.
* meh
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* - fix tests for nativeOps::concat
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* sequential transform/scalar
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* allow nested parallelism
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* assign_bp leak fix
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* block setRNG fix
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* enable parallelism by default
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* enable nested parallelism by default
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* Added cuda implementation for row_count helper.
* Added implementation for tnse gains op helper.
* - take into account possible situations when input arrays are empty in reduce_ cuda stuff
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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.
* Added kernel for tsne/symmetrized op heleper.
* Implementation of tsne/symmetrized op cuda helper. Working edition.
* Eliminated waste printfs.
* Added test for broadcastgradientargs op.
* host-only fallback for empty reduce float
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* - some tests fixes
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* - correct the rest of reduce_ stuff
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* - further correction of reduce_ stuff
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* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
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* - provide cuda kernel for gatherND operation
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* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
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* minor tests tweaks
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* - further correction of cuda stuff
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* Implementatation of cbow op helper with cuda kernels. Working edition.
* Skip random testing for cudablas case.
* lstmBlockCell context fix
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* Added tests for ELU and ELU_BP ops.
* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.
* Added tests for neq_scalar.
* Added test for noop.
* - further work on clipbynorm_bp
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* - get rid of concat op call, use instead direct concat helper call
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* lstmBlockCell context fix
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* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
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* operator * result shape fix
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* - correct typo in lstmCell
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* few tests fixed
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* CUDA inverse broadcast bool fix
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* disable MMAP test for CUDA
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* BooleanOp syncToDevice
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* meh
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* additional data types for im2col/col2im
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* Added test for firas_sparse op.
* one more RandomBuffer test excluded
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* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
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* mmulDot tests fixed
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* more tests fixed
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* Implemented floordiv_bp op and tests.
* Fixed scalar case with cuda implementation for bds.
* - work on cuda kernel for clip_by_norm backprop op is completed
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* Eliminate cbow crach.
* more tests fixed
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* more tests fixed
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* Eliminated abortion with batched nlp test.
* more tests fixed
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* Fixed shared flag initializing.
* disabled bunch of cpu workspaces tests
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* scalar operators fix: missing registerSpecialUse call
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* Fixed logdet for cuda and tests.
* - correct clipBynorm_bp
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* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
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* build fix
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* exclude two methods for JNI
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* exclude two methods for JNI
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* exclude two methods for JNI (#97 )
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* temporary stack fix
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* round robin affinity test
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* get rid of legacy CudaContext methods
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* get rid of legacy ContextPool classes/methods
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* one legacy test removed
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* few more fields rearranged
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* OpaqueLaunchContext
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* OpaqueLaunchContext++
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* more of OpaqueLaunchContext methods
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* LaunchContext -> CudaContext
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* AffinityManger changes
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* AffinityManger changes
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* cusolver handles
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* typo
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* cusolver method
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* cusolver handle propagated
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* blas/solver handles
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* one more test
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* legacy concat implementations replaced with new CustomOp
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* one more test
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* concat now uses way more blocks
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* print
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* no more triple template mmul
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* bunch of kernels have dtypes reconsidered
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* bunch of kernels have dtypes reconsidered
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* bitonic sort reorganized
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* bunch of cpu stuff removed from cuda scope
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* bunch of cpu stuff removed from cuda scope
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* type conversions moved to generic impl
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* cpu data types pass
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* non_max_suppression
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* sortByValue fix
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* ignore all mixed datatype tests for mmul
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* special handling of OpProfiler exceptions
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* - one failing concat test in cpp
- Nd4j.tile now uses op internally
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* get back dtype exception for legacy arrays deserialization
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2019-08-14 16:52:34 +03:00
ec847e034b
[WIP] Remote inference ( #96 )
...
* fix pad javadoc and @see links. (#72 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* [WIP] More fixes (#73 )
* special tests for ConstantTadHelper/ConstantShapeHelper
Signed-off-by: raver119 <raver119@gmail.com>
* release methods for data buffers
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* delete temporary buffer Java side
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* delete temporary buffer Java side
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* delete temporary TadPack C++/Java side (#74 )
Signed-off-by: raver119 <raver119@gmail.com>
* Zoo model TF import test updates (#75 )
* argLine fix, update compression_gru comment
* updated comment for xception
* undid but commented argLine change
* updated xlnet comment
* copyright headers
* - new NDArray methods like()/ulike() (#77 )
- fix for depthwise_conv2d_bp + special test
Signed-off-by: raver119 <raver119@gmail.com>
* upsampling2d fix CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* DL4J trace logging (#79 )
* MLN/CG trace logging for debugging
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tiny tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* strided_slice_bp shape fn leak fix
Signed-off-by: raver119 <raver119@gmail.com>
* SameDiff fixes and naming (#78 )
* remove SDVariable inplace methods
* import methods
* npe fix in OpVal
* removed SameDiff inplace ops from tests
* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything
* quick fixes
* javadoc
* SDVariable eval with placeholders
* use regex match
* better matching
* fix javadoc. (#76 )
* fix javadoc.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* replace most @see with @link s.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* 4 additional tests
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* Various DL4J/ND4J fixes (#81 )
* #7954 Force refresh of UI when switching tabs on overview page
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* #8017 Concurrent modification exception (synchronize) fix
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* #8033 Don't initialize updater in middle of writing memory crash dump
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* #8208 Fix shape checks for ND4J int[] creator methods
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* #6385 #7992 Keras import naming fixes + cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8016 Upsampling3D - add NDHWC format support
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Refactor NativeOps.h to export C functions
* Actually export functions from NativeOps.h
* Adapt the Java wrappers in ND4J generated with JavaCPP
* Create C wrappers for some of the C++ classes currently used by ND4J
* remove duplicate code in createBufferDetached. (#83 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Keras model import - updater lr fix (#84 )
* Keras model import - updater lr fix
Signed-off-by: eraly <susan.eraly@gmail.com>
* Keras model import - updater lr fix, cleanup
Signed-off-by: eraly <susan.eraly@gmail.com>
* Fix functions of OpaqueVariablesSet
* SameDiff Convolution Config validation, better output methods (#82 )
* Conv Config validation & tests
Signed-off-by: Ryan Nett <rnett@skymind.io>
* stackOutputs utility method
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use constructor for validation, support negative kernel sizes (infered from weights)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* better output methods
Signed-off-by: Ryan Nett <rnett@skymind.io>
* move output to be with fit and evaluate
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* more fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* refactor duplicate code from pad methods. (#86 )
* refactor duplicate code from pad methods.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* replace switch with if.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Various ND4J/DL4J fixes and improvements (#87 )
* Reshape and reallocate - small fixes
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* Reshape and reallocate - small fixes
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* #6488 ElementWiseVertex broadcast support
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* Constructors and broadcast supported it Transforms.max/min
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* #8054 ElementWiseVertex now supports broadcast inputs
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* #8057 Nd4j.create overload dtype fix
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* #7551 ND4J Shape validation fix
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* [WIP] Numpy boolean import (#91 )
* numpy bool type
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* numpy bool java side
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* remove create method with unused parameter. (#89 )
* remove create method with unused parameter.
* removed more unused methods.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* removing more unused code.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* last removal of unused code.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove createSparse methods. (#92 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Various ND4J/DL4J fixes (#90 )
* Deprecate Old*Op instances
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* #8063 #8054 Broadcast exceptions + cleanup inplace ops
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* Small fix
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* Remove bad test condition
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* #7993 Fix shape function issue in crop_and_resize op
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* DL4J SameDiff lambda layer fix
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* #8029 Fix for pnorm backprop math
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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93 )
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* createUninitializedDetached refactoring. (#94 )
* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
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* createUninitializedDetached refactored.
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* cuda build fix for issues introduced by recent refactoring
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* initial commit
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* deps tweaks
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* initial prototype
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* modules reorganized
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* gprc module moved to nd4j-remote as well
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* gprc module moved to nd4j-remote as well
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* serving prototype
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* serving prototype
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* serving prototype
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* serving prototype
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* [WIP] More of CUDA (#95 )
* initial commit
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* Implementation of hashcode cuda helper. Working edition.
* Fixed parallel test input arangements.
* Fixed tests for hashcode op.
* Fixed shape calculation for image:crop_and_resize op and test.
* NativeOps tests. Initial test suite.
* Added tests for indexReduce methods.
* Added test on execBroadcast with NDArray as dimensions.
* Added test on execBroadcastBool with NDArray as dimensions.
* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.
* Added tests for execReduce with scalar results.
* Added reduce tests for non-empty dims array.
* Added tests for reduce3.
* Added tests for execScalar.
* Added tests for execSummaryStats.
* - provide cpu/cuda code for batch_to_space
- testing it
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* - remove old test for batch_to_space (had wrong format and numbers were not checked)
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed complilation errors with test.
* Added test for execTransformFloat.
* Added test for execTransformSame.
* Added test for execTransformBool.
* Added test for execTransformStrict.
* Added tests for execScalar/execScalarBool with TADs.
* Added test for flatten.
* - provide cpu/cuda code for space_to_Batch operaion
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* Added test for concat.
* comment unnecessary stuff in s_t_b
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* Added test for specialConcat.
* Added tests for memcpy/set routines.
* Fixed pullRow cuda test.
* Added pullRow test.
* Added average test.
* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)
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* - debugging and fixing cuda tests in JavaInteropTests file
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* - correct some tests
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* Added test for shuffle.
* Fixed ops declarations.
* Restored omp and added shuffle test.
* Added convertTypes test.
* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.
* Added sort tests.
* Added tests for execCustomOp.
* - further debuging and fixing tests terminated with crash
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* Added tests for calculateOutputShapes.
* Addded Benchmarks test.
* Commented benchmark tests.
* change assertion
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* Added tests for apply_sgd op. Added cpu helper for that op.
* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.
* Added test for assign broadcastable.
* Added tests for assign_bp op.
* Added tests for axpy op.
* - assign/execScalar/execTransformAny signature change
- minor test fix
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* Fixed axpy op.
* meh
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* - fix tests for nativeOps::concat
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* sequential transform/scalar
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* allow nested parallelism
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* assign_bp leak fix
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* block setRNG fix
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* enable parallelism by default
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* enable nested parallelism by default
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* Added cuda implementation for row_count helper.
* Added implementation for tnse gains op helper.
* - take into account possible situations when input arrays are empty in reduce_ cuda stuff
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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.
* Added kernel for tsne/symmetrized op heleper.
* Implementation of tsne/symmetrized op cuda helper. Working edition.
* Eliminated waste printfs.
* Added test for broadcastgradientargs op.
* host-only fallback for empty reduce float
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* - some tests fixes
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* - correct the rest of reduce_ stuff
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* - further correction of reduce_ stuff
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* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
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* - provide cuda kernel for gatherND operation
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* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
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* minor tests tweaks
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* - further correction of cuda stuff
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* Implementatation of cbow op helper with cuda kernels. Working edition.
* Skip random testing for cudablas case.
* lstmBlockCell context fix
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* Added tests for ELU and ELU_BP ops.
* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.
* Added tests for neq_scalar.
* Added test for noop.
* - further work on clipbynorm_bp
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* - get rid of concat op call, use instead direct concat helper call
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* lstmBlockCell context fix
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* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
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* operator * result shape fix
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* - correct typo in lstmCell
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* few tests fixed
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* CUDA inverse broadcast bool fix
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* disable MMAP test for CUDA
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* BooleanOp syncToDevice
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* meh
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* additional data types for im2col/col2im
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* Added test for firas_sparse op.
* one more RandomBuffer test excluded
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* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
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* mmulDot tests fixed
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* more tests fixed
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* Implemented floordiv_bp op and tests.
* Fixed scalar case with cuda implementation for bds.
* - work on cuda kernel for clip_by_norm backprop op is completed
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* Eliminate cbow crach.
* more tests fixed
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* more tests fixed
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* Eliminated abortion with batched nlp test.
* more tests fixed
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* Fixed shared flag initializing.
* disabled bunch of cpu workspaces tests
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* scalar operators fix: missing registerSpecialUse call
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* Fixed logdet for cuda and tests.
* - correct clipBynorm_bp
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* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
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* build fix
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* exclude two methods for JNI
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* exclude two methods for JNI
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* exclude two methods for JNI (#97 )
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* temporary stack fix
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* downgrade jetty to latest stable version
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* test and profiles
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* Servlet skeleton
* one test case
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* one test case
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* compilation fix
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* draft improvements
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* draft improvements
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* proof of concept works
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* proof of concept works
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* Servlet
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* logging + simple timing
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* Content type fixed
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* Profile required
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* Servlet tests
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* Post test
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* Tests added:
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* Minor tweaks
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* Constants used
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* Check content type
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* Some tests
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* Errors checking
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* Constraints and tests
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* Minor tweaks
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* Dl4j servlet skeleton
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* Moving class to dl4j
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* Builder extended
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* initial dl4j commit
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* unirest version change
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* temp fallback
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* Reverted unirest version
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* Reverted unirest version
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* revert back unirest version change
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* revert unirest change
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* some additional checks in builder
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* few more fields
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* Test added
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* lombok
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* Tests added
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* deps
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* profiles re-introduced
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* Added tests
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* Model servlet
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* builders
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* builders
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* Servlet skeleton
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* Servlet tests
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* builders
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* get rid of old class
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* use PI for inference
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* superbuilder
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* get back builder
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* Servlet builder
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* PI setup
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* get rid of superbuilder
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* SameDiffServlet inheritance constructor
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* dl4jservlet attached to samediffservlet
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* builder types fix
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* dummy model
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* single out
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* loss
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* Tests added
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* missed builder type
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* working serving example
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* sd model fix
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* fix unirest version
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* More tests
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* Tests added:
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* Minor tests fixes
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* Tests fixed
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* Build fixed
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* Test added
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* Tests fixed
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* Ser/deser added
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* one more unirest fix
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* Custom serializers
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* Tests disabled
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* revert back unirest version change
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* update
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* some default fields values
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* some comments/javadoc
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* - move serde impls to client module
- get rid of INDArray serde for now
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* jackson-based serde for float[], double[] and String
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* more of basic ser/de + tests
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* minor api changes
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* change imports/signatures
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* Optional parralel inference
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* Insert pause between tests as workaround for unavailable port issue
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* few unused imports removed
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* Models usage
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* Models usage
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* - InputAdapter + OutputAdapter = InferenceAdapter
- JsonModelServer now allows separate configuration of InputAdapter and OutputAdapter
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* unused import
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* input adapter..
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* minor signature change
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* few more signatures updated
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* input/output adapter
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* Tests added
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* javadocs added
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* Test fixed
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* minor polishing
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* more of javadoc
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* signature change
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2019-08-14 12:11:09 +03:00
Samuel Audet
Alex Black
Alexander Stoyakin
raver119
Robert Altena