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
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Nd4j.sparseFactory removed.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* sparseNDArray deleted.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* 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.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* 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.
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* more deletes.
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* 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
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.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-09 13:09:31 +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
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
d3253aff3f
dedicated lock for getCudaCublasHandle
...
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2019-09-02 20:01:13 +03:00
18828f9725
cublasHandle sharing + lock
...
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2019-09-02 16:52:10 +03:00
82c9dc5743
ELU fix ( #219 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 18:37:05 +10:00
6d04d30c94
INDArray.java javadoc ( #215 )
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* javadoc
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* javadoc
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2019-09-02 16:06:20 +10:00
1003428a18
[WIP] Int broadcastables ( #195 )
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* Removed invalid resource and fixed tests
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* legacy scalar/pairwise/broadcast int ops
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* NDArray int broadcastables
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* few more bitwise tests
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* java side update
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* Argument type changed for shift ops
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* legacy scalar/pairwise/broadcast int ops
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* NDArray int broadcastables
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* few more bitwise tests
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* java side update
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* Argument type changed for shift ops
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2019-08-30 10:12:40 +03:00
25e5c23eae
[WIP] Error handling ( #169 )
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* CUDA reverse rewrite + couple of tests
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* don't throw exception on invalid pointer
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* data types validation for fastpath exec mode + 2 tests
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* data types validation for fastpath exec mode + 2 tests
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* ismax allowed dtypes tweak
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* lastErrorCode + lastErrorMessage for native exceptions handling
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* exportable ErrorReference
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* check error codes in java
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* - consume lastErrorCode
- fast_in dtype validation fix
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* - sg/cb allowed output type change
- minor logging fix for data type validation
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2019-08-26 19:57:51 +03:00
f03b0ee78f
[WIP] more fixes ( #159 )
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* 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
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* get rid of AveragingArrayProxy
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* 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
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* test updated
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2019-08-23 19:20:50 +03:00
729dc5e879
[WIP] size etc ( #155 )
...
* one test for size
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* - few tests for size op
- size/rank/size_at ops now use p instead of assign
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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
243bf866c4
[WIP] Few fixes ( #153 )
...
* throw exception if op execution failed
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* expected for test
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* one more ismax test
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* ismax view fix
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2019-08-23 09:00:10 +03:00
930b49e87f
[WIP] DeviceLocalNDArray updates ( #149 )
...
* ContextBuffers are released upon device change
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* DeviceLocalNDArray updates + tests
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* special array for delayed mode
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* additional detach()
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2019-08-22 20:01:29 +03:00
3f4379927a
scalar constructor fix
...
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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
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* CUDA device afinity tweaks
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* minor tweaks
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* prepareAction/registerAction for CustomOps
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* lazy allocate host bufer before relocation
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* one special test for migration in cpp
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* tests update for msvc
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* logging
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* stick to old col2im impl
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* cudaStreams reorganization
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* buffer size fix
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* c++ data migration
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* fix CropAndResize test
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* - 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.
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* removing trueScalar.
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* wip
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* wip
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* wip
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* remove tueScalar.
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2019-08-20 15:20:40 +09:00
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 )
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* 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
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.
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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.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* 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
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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 )
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* 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
* 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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* 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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* 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 )
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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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* Fix functions of OpaqueVariablesSet
* 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.
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* 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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* 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)
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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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* 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
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Insert pause between tests as workaround for unavailable port issue
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* 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
62a025439b
java cuda compilation fix
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-07 21:36:27 +03:00
e2b7675e9c
build fix
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:27:05 +10:00
dfec54242d
createUninitializedDetached refactoring. ( #94 )
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* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* createUninitializedDetached refactored.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:27:05 +10:00
cd41c3540d
#8038 Fix Op profiler NaN/Inf triggering + add tests ( #93 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-05 11:25:48 +10:00
d4e7997134
SameDiff Convolution Config validation, better output methods ( #82 )
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* Conv Config validation & tests
Signed-off-by: Ryan Nett <rnett@skymind.io>
* 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
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-08-05 11:24:20 +10:00
8d1fe8b1b3
Fix functions of OpaqueVariablesSet
2019-08-05 11:24:20 +10:00
526b782e51
Create C wrappers for some of the C++ classes currently used by ND4J
2019-08-05 11:22:59 +10:00
8881bfe7aa
Adapt the Java wrappers in ND4J generated with JavaCPP
2019-08-05 11:22:59 +10:00
b9708be5db
delete temporary TadPack C++/Java side ( #74 )
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:11:22 +10:00
59a006ce29
[WIP] More fixes ( #73 )
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* 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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2019-08-05 11:11:22 +10:00
fd6c0df024
[WIP] More CUDA fixes/updates ( #62 )
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* CUDA reallocation update
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* Legacy SoftMax/LogSoftMax/SoftMaxDerivative removed from cpp
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* SoftMaxDerivative op removed
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* few tests updates
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* RNG fixes
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* few more tests updates
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* legacy Histogram/Pooling2D removed
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* legacy Histogram removed
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* histogram moved
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* histogram moved cuda
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* Histogram custom op
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2019-07-20 23:07:42 +10:00
9cf28ea6c9
[WIP] CUDA tweaks ( #60 )
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* special cpu concat
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* special concat fix
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* OpProfiler tweak for absent host pointers
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* minor test tweak to see orders
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* CUDA broadcasting diff orders fix
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* faster iterations
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* OldSoftMax/OldLogSoftMax gone
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* RandomLauncher tweaks
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* additional check int randomtests
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* skip prepare/register action for empty arrays
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* npz float16 fix
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* empty reduction cuda fixes
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* ShapeBufferTests tweaks
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2019-07-20 23:06:48 +10:00
6ce458e949
[WIP] CUDA Java side ( #58 )
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* one crashing test
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* stupid issue fixed
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* one fix
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* dont ensure location for empty arrays
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* few more signatures fixed
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* few tweaks for DataBuffer creation from java primitives
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* get rid of legacy im2col/col2im intercept
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* rsubi scalar array fix
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2019-07-20 23:06:25 +10:00
c969b724bb
[WIP] more CUDA stuff ( #57 )
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* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* Added gradcheck test for dynamic_partition_bp op.
* - implementation of dilation op (cpu and cuda)
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed broadcast_dynamic_shape 1D case and tests.
* Fixed usage of default integer arguments.
* Fixed dynamic_partition_bp op and tests.
* Eliminated test with grad check for dynamic_partition_bp op.
* start working on cuda svd - porting available corresponding api from cuSOLVER library
Signed-off-by: Yurii <yurii@skymind.io>
* provide prelu_bp
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* - provide gruCell_bp (old version ??)
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* - polishing cumsum_bp and cumprod_bp tests
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* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed atomicMul with float input/output
* implementation of cuda kernel for triu_bp operation
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* Refactored lup helper to add parrallel computing.
* cusolver libraries
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* uncomment cuSolver APIs in svd.cu
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* cusolver var
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* - further work on cuSolver svd
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* Implement usage of cuda solver to LUP decomposition.
* - correct naames in lup functions
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* correct svdQR cuda
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* - provide transpositions of input matrices in case of c order in svdCudaQR
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed implementation issues with LUP usign cuda solver.
* Implementation of matrix_determinant helper with cuda kernels. Working revision.
* Implemented log_matrix_determinant helper with cuda kernels.
* - implementation of batched cuda svd
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored cholesky helper and implementation of cuda solver cholesky batch.
* - implementation of cuda kernel for tile bp
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* Implementation of cholesky and logdet with cuda kernels.
* - implementation of cuda kernel for sru_bidirectional
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed cholesky helper.
* Cholesky op helper implementation. Working double-based cublas implementation.
* bad import excluded
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* Finished with cuda implementation of cholesky helper and tests.
* - implementation of cuda kernel for sru_bidirectional_backprop operation
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of matrix_inverse op helper with cuda kernels. The first revision.
* - start working on gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of matrix_inverse helper.
* - further work on new gruCell_bp
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* cuBLAS related fixes
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* calculateOutputShapes() now passes device buffers as well
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* special concat/average/accumulate init host pointers now
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* few more tweaks
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* additional CudaDataBufferFactory signatures certain for data types
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* cuSolver host buffer
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* buffer to buffer memcpy host ptr allocation
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2019-07-20 23:05:21 +10:00
cb6654bebb
Add libnd4j benchmarks ( #3 )
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This PR adds 2 libnd4j benchmarking suits
2019-07-20 22:54:44 +10:00
5708fc087a
[WIP] INDArray hashCode() impl ( #50 )
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* initial commit
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* one more initial commit
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* parallel hashCode prototype
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* longBytes for hashCode
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* INDArray hashCode java side
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* few tests fixed for MSVC
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* Small gradcheck validation util fix - hash names not SDVariables
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small fix + ignore for logged issue
Signed-off-by: Alex Black <blacka101@gmail.com>
* - scrollable iterator fix
- sptree hashset replaced with collection
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* hashcode exception removed
* int hashCode for java
2019-07-20 22:22:11 +10:00
15e7984392
Small fixes ( #46 )
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* - fix for eclipse/#7959
* createFromNpy scalar fix
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* remove spam
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* rng custom ops tests
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* Numpy headers validation + tests
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* fix for scalar string flat serde
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* Where empty shape test
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2019-07-20 22:20:14 +10:00
dde50ee570
Small fixes ( #43 )
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* minor cmake changes to make macos happy
* space_to_batch/batch_to_space validation fix
* - choose op tweaks
- tests updated to match appleid tweaks
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* - get rid of bad import
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* - choose now uses shape function
- choose test updated
2019-07-20 22:19:20 +10:00
Alexander Stoyakin
raver119
Alex Black
Robert Altena
Samuel Audet
Ryan Nett