1780dcc883
[WIP] Small fixes here and there ( #50 )
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* one range test
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* few Context convenience singatures
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* one more range test
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* "range" "fix"
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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable
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* adjust_contrast now allows scale factor as variable too
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* bitcast shape tests
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* BitCast import dtype added
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* few more BitCast signatures
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2019-11-15 17:04:29 +03:00
c5b912bddf
few changes for openblas and jcpp preloads (on macos) ( #46 )
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Signed-off-by: raver119 <raver119@gmail.com>
2019-11-14 19:50:24 +03:00
1eb3de90d7
[WIP] Platform helpers switches ( #44 )
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* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well
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* global platform-helpers trigger
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* few signatures renamed
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* - few new env variables to follow
- maxThreads/masterThreads differentiation
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* Javadoc update
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2019-11-14 14:35:02 +03:00
47d19908f4
Various fixes ( #43 )
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* #8172 Enable DL4J MKLDNN batch norm backward pass
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8382 INDArray.toString() rank 1 brackets / ambiguity fix
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* #8308 Fix handful of broken links (inc. some in errors)
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* Unused dependencies, round 1
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* Unused dependencies, round 2
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* Unused dependencies, round 3
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* Small fix
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* Uniform distribution TF import fix
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2019-11-14 19:38:20 +11:00
48df1acdfb
[WIP] ThreadPool ( #8 )
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This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
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 )
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* #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
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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
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* 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
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* remove useage of n4j.sparseFactory
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* Nd4j.sparseFactory removed.
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* sparseNDArray deleted.
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* iremove more sparse calls and constants.
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* remove SparseBlasWrapper.
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* 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.
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* removes sparse methods from NDArrayFactory.
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* more deletes.
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* delete (ignored) tests. BaseSparseNDArray.
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* 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 )
...
* fix double consumption of rng on cpu
Signed-off-by: raver119 <raver119@gmail.com>
* Shyrma docs (#222 )
* - documenting and profiling matrix_set_diag cuda kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - 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
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Javadocs
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* Javadoc fixed
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Cleanup
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* 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 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* 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
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* check for field instead
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* pew-pew
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* don't release ContextBuffers until device changed
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* small tweak
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* some logging in sgemm
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* stream sync
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* some more logging
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* some more error checks
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* one fancy test
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* one fancy test
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* minor AffinityManager fix
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* cudaEvent error logging improvement
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* ConstantHelper thread safety
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* - minor corrections in ConstantTadHelper
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* ConstantShapeHelper thread safety
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* ConstantTadHelper.cu updated
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* logging off
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* logging off
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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
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* - minor corrections in ConstantTadHelper
Signed-off-by: Yurii <yurii@skymind.io>
* ConstantShapeHelper thread safety
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* ConstantTadHelper.cu updated
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* logging off
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* logging off
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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
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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
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
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
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* DL4J spark updates, pt 2
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* DL4J spark updates, pt 3
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* DL4J spark updates, pt 4
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* 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
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* - one more noop empty test
- one more validation before sync
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* typo
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* one more validation fix
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* 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
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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
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 )
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* two more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* 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 )
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-20 18:28:43 +03:00
38310777ee
fix for eclipse#8087 ( #129 )
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* 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 )
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* no openmp for ClipByGlobalNorm
Signed-off-by: raver119 <raver119@gmail.com>
* one more bfloat16 rng test
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* assertion fix
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* - legacy IsMax gone
- linear IsMax gets shapeInfo argument
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* 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
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-19 11:33:15 +03:00
raver119
Alex Black
Samuel Audet
Alexander Stoyakin
Robert Altena