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Author SHA1 Message Date
raver119@gmail.com 9101a0ee15 build fix for clang 
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
 2019-11-16 22:18:50 +03:00
Alex Black 09a827fb6d
Fixes and pre-release QA (#51) 
* #8395 Keras import - support scaled identity weight init

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More Keras scaled weight init fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8352 Deprecate duplicate SamplingDataSetIterator class

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Remove /O2 optimization for faster CUDA build

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Tweak regression test precision for CUDA

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix edge cases for buffer creation

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* Update MKLDNN validation tests to new helper enable/disable settings

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* Delete debugging class

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* MKLDNN test - add proper skip for CUDA backend

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* Align WeightInitUtil with weight init classes

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* Fix for SameDiff test layers weight init when using IWeightInit classes

Signed-off-by: AlexDBlack <blacka101@gmail.com>
 2019-11-16 17:04:29 +11:00
raver119 1780dcc883
[WIP] Small fixes here and there (#50) 
* 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
Yurii Shyrma 62d8e0d409 - make agreement between our and mkl api dilation/padding formulas (#47) 
Signed-off-by: Yurii <iuriish@yahoo.com>
 2019-11-14 20:21:22 +03:00
raver119 1eb3de90d7
[WIP] Platform helpers switches (#44) 
* - 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
Alex Black 47d19908f4
Various fixes (#43) 
* #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
raver119 48df1acdfb
[WIP] ThreadPool (#8) 
This PR removes OpenMP use in 95% of cases
 2019-11-13 17:04:59 +03:00
raver119 f05c6ee139 INLINE_LOOPS for windows 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-11-12 15:12:31 +03:00
Alex Black 18c01f5bdc
Add SameDiff memory reuse memory manager (array cache) (#39) 
* Attention op comments

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* ArrayCacheMemoryMgr - first pass

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* Tweak array cache for use with SameDiff identity arrays

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* ArrayCacheMemoryMgr javadoc and properly get max memory

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* LRU cache policy + add tests

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* Fixes

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* Resize arrays internally if required for ArrayCacheMemoryMgr

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* Test improvement

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* Small polish

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 2019-11-12 21:15:44 +11:00
Yurii Shyrma 0eda1e733e Shyrma bnorm bp (#41) 
Batchnorm backprop mkldnn
 2019-11-12 11:58:48 +03:00
raver119 cd961727bb
[WIP] perf tests (#40) 
* special maxpool test

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* special maxpool test

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 2019-11-11 17:45:59 +03:00
raver119 929c1dc5c7 - new NDArrayFactory scalar constructor 
- minor tweak in randomuniform
- one more test

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 2019-11-08 08:49:41 +03:00
raver119 51f3a1371d
[WIP] Random Uniform (#36) 
* args

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* T args

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 2019-11-07 17:09:47 +03:00
shugeo 679e42199a Shugeo strided slice bp fix2 (#33) 
* Fixed crash and restored brocken functionality for strided slice.

* Added comments for strided_slice_bp main step.
 2019-11-07 13:44:02 +03:00
raver119 4276e63054 one more test 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-11-07 08:49:27 +03:00
shugeo 08853c7829
Shugeo random uniform int (#30) 
* Corrected randomuniform declaration.

* Refactored uniform distribution for both cuda and cpu platforms.

* Refactored uniform distribution and tests.

* Fixed type usage with indices.

* Refactored uniform distribution implementation and tests to full conform with TF implementation.

* Refactored gamma function to use type util method.

* Copyright changes and fixes with ConstantHelper.

* Added error checking on allocate cuda device memory and operations.
 2019-11-06 12:49:27 +02:00
AlexDBlack 7583ccfa15 Merge 
Signed-off-by: AlexDBlack <blacka101@gmail.com>
 2019-11-06 13:28:03 +11:00
Yurii Shyrma 871f3bb3e6
- add additional condition in svd helper to take into account rounding errors (#31) 
Signed-off-by: Yurii <iuriish@yahoo.com>
 2019-11-05 17:16:17 +02:00
shugeo 9124974e3b
Fixed crash with strided_slice_bp op and tests. (#29) 2019-11-05 12:49:15 +02:00
shugeo 7b14a9f603
Gamma and Poisson distributions (#27) 
* Added implementation for random_gamma op.

* Added implementation for random_poisson op and support classes.

* Added helpers for random_poisson and random_gamma ops.

* Implementation of random_poisson. The first working edition.

* Implementation of random_poisson. Parallelized working edition.

* Implementation of random_gamma. Parallelized working edition with alpha only.

* Added cuda implementation for helper of poisson distribution.

* Corrected shape calculation with random_gamma and tests.

* Finished cpu implementation for gamma distribution.

* Finished cuda implementation for random_gamma op.

* Refactored cpu helpers for random_gamma and random_poisson ops.

* Refactored cuda helpers for gamma and poisson distribution.

* Refactored cuda helper for gamma distribution.

* Refactored cpu helper for random_poisson op.

* Refactored cpu helper for random_gamma op.
 2019-11-04 15:42:28 +02:00
Alex Black 948ebef41c
Op Fixes (#28) 
* #8280 biasadd_bp nchw arg fixes (java side) + test

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8285 Concat op Java side fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Concat op cpp fix - allow dynamic axis to be negative, same as static axis

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* ignores for deconv3d import tests until deconv3d_tf op is implemented

Signed-off-by: AlexDBlack <blacka101@gmail.com>
 2019-11-05 00:05:04 +11:00
Yurii Shyrma 0cdb5750e0
Shyrma concat (#24) 
* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case

Signed-off-by: Yurii <iuriish@yahoo.com>

* - write code for deconv2d op based on mkl dnn api

* no unsafe math

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* no unsafe math

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* - get rid of e<> and p<> methods in svd helper

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* - provide mkl api support for deconvolution 3d

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* - write deconv2d_bp based on mkl api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - write deconv3d_bp based on mkl api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing and fixing deconv based on mkl api

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* - remove dilation form conv2d/3d mkl

Signed-off-by: Yurii <iuriish@yahoo.com>

* - minor changes

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* - further corrections of deconv ops based on mkl dnn api

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* - provide deconv2d_tf based on mkl dnn api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - add minor corrections required by reviewer

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 2019-11-03 12:37:19 +02:00
raver119 c94013f0a1 cc 52 -> 50 
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 2019-11-03 09:54:35 +03:00
raver119 879a06c913 few typos fixed 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-11-01 09:13:15 +03:00
Alexander Stoyakin 45a40c8a89
DL4J/ND4J: Do pass on integer casts (#15) 
* 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
shugeo 95f7ad7b94
Shugeo suppression overlaps (#9) 
* Added non_max_suppression_overlaps op and tests.

* Refactored implementation of non_max_suppression_overlaps.

* Refactoring of implementation of non_max_suppression_overlaps op.

* Refactoring of implementation of non_max_suppression op.

* Fixed portion error.

* Added cuda frontends for image suppression ops.

* Eliminated crash with cuda arch on image.non_max_suppression_overlaps op.

* Improved implementation of image_suppression helper for cpu platform.

* The generic approach of non_max_suppression_overlaps op helper with cuda platform.

* Working cuda implementation of helper non_max_suppression_overlaps op.

* Eliminated waste comments.

* Improved implementations for both platforms

* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.

* Improved cuda implementation of non_max_suppression op helper.

* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.

* Improved cuda implementation of image.non_max_suppression_overlaps op helper.

* Added modifications into cuda implementation for image suppression overlaps op.

* Correct queue emulation with cuda implementation of non_max_suppression_overlaps op.

* Prefinal stage of cuda implementation of non_max_suppression_overlaps.

* Worked cuda implementation of non_max_suppresion_overlaps helper.

* Fixed return to proper thread.

* Improvements for cuda implementation of image.non_max_suppression_overlaps op helper.

* Fixed implementation issues with non_max_suppression_overlaps on cuda platform.

* Fixed skip for non_max_suppression_overlaps on cuda platform.

* Finalize implementation of image_suppression helper and tests.

* Cosmetic changes only.
 2019-10-30 13:43:45 +02:00
Yurii Shyrma 029a69a835
Shyrma bn mkl bp (#14) 
* - write code for new batchnorm backprop

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing batchnorm backprop

Signed-off-by: Yurii <iuriish@yahoo.com>

* - write code for batchnorm backprop based on mkl dnn api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing and fixing bugs in batchnorm_bp mkl dnn

Signed-off-by: Yurii <iuriish@yahoo.com>

* - made corrections required by reviewer

Signed-off-by: Yurii <iuriish@yahoo.com>

* - change name in java wrapper for batchnorm op

Signed-off-by: Yurii <iuriish@yahoo.com>
 2019-10-26 14:14:21 +03:00
Alex Black d333d29099
SameDiff cleanup and fixes (#12) 
* #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
Alex Black 3f0b4a2d4c
SameDiff execution, TF and memory management overhaul (#10) 
* 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
Alexander Stoyakin f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019 
KDTree optimization
 2019-10-23 12:11:25 +03:00
Yurii 8f3eaebda5 - replace condition isScalar() by condition length ==1 in some NDArray methodds 
Signed-off-by: Yurii <iuriish@yahoo.com>
 2019-10-21 16:25:13 +03:00
Yurii 99be467f76 - minor change in recurrent.h 
Signed-off-by: Yurii <iuriish@yahoo.com>
 2019-10-17 20:46:51 +03:00
Yurii 70bd925abd - write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api 2019-10-17 20:44:52 +03:00
Alexander Stoyakin 630bb3c9b6
Merge pull request #2 from KonduitAI/asto_ops_wrapper 
[WIP] New ops wrapper
 2019-10-16 20:21:50 +03:00
shugeo 3662657d5c
Merge pull request #1 from KonduitAI/shugeo_gamma 
Shugeo gamma
 2019-10-16 18:49:33 +03:00
shugeo 24a2b2933f Added gamma and lgamma functions. 2019-10-16 18:22:18 +03:00
Alexander Stoyakin 96a9a1a733 Fixed output from operation. 2019-10-16 18:07:52 +03:00
shugeo 7617682a46 Added declarations for igamma and igammac ops. 2019-10-16 14:45:10 +03:00
shugeo 478a0c1f97 Added igamma and igammac broadcastable ops implementations and tests. 2019-10-16 14:02:53 +03:00
shugeo 7103aca8c5 Added broadcastable IGamma and IGammac ops. 2019-10-16 13:58:32 +03:00
shugeo f90e6da97e Added nd4j_gamma, nd4j_igamma and nd4j_igammac functions. 2019-10-16 13:53:31 +03:00
shugeo df2448613e Added gamma distribution functions. 2019-10-15 20:00:07 +03:00
AlexDBlack 2d750b69e5 Merge remote-tracking branch 'konduit/master' 2019-10-14 17:21:23 +11:00
shugeo ace65355c5 Added doc for fake_quant_with_min_max* op helpers cuda implementations. 2019-10-10 18:35:28 +03:00
shugeo c890de5a7b Added doc for fake_quant_with_min_max* op helpers implementations. 2019-10-10 18:31:17 +03:00
shugeo c3f755d975 Refactored helpers both for cuda and cpu platforms. 2019-10-10 18:02:49 +03:00
shugeo a09cb5e2be Added doc for fake_quant_with_min_max_per_channel op declaration. 2019-10-10 17:13:33 +03:00
shugeo 92636b0b86 Eliminated waste operator. 2019-10-10 17:08:59 +03:00
shugeo d5b352273d Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op. Final revision. 2019-10-10 16:51:29 +03:00
shugeo 02d8616692 Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op. 2019-10-10 16:40:56 +03:00
shugeo 3504b0cda9 Implemented fake_quant_with_min_max_vars_per_channel fop cuda helper. The first working revision. 2019-10-10 15:44:50 +03:00
shugeo 753565145c Refactored fake_quant_with_min_max_vars op cuda implementation. 2019-10-10 14:00:49 +03:00
shugeo c13e945a96 Fixed fake_quant_with_min_max_vars op and tests. 2019-10-10 13:23:11 +03:00
shugeo 3c0c59ab88 Refactored fake_quant_with_min_max_vars op. 2019-10-09 22:09:33 +03:00
shugeo 352f1eee80 Implemented fake_quant_with_min_max_per_channel helper for cpu platform. The first approach. 2019-10-09 21:39:59 +03:00
shugeo d0cbd33b0e Added input checks for op. 2019-10-09 15:52:13 +03:00
shugeo 3a89e51811 Added tests for fake_quant_with_min_max_vars_per_channel op. 2019-10-09 13:38:18 +03:00
shugeo cb56b0b06a The first approach for fake_quant_with_min_max_vars_per_channel op implementation. 2019-10-08 19:00:41 +03:00
shugeo 8fe5a1fa96 The working implementation of draw_bounding_boxes op. 2019-10-08 15:42:27 +03:00
shugeo 30a8af566c The first working implementation of cuda kernel for draw_bounding_boxes op helper. 2019-10-08 13:45:18 +03:00
shugeo ae09cfee32 Next approach of cuda imlementation for draw_bounding_boxes op helper. 2019-10-08 00:09:46 +03:00
shugeo 6cf3a8fa9c Refactored cpu implementatio and added cuda aproach. 2019-10-07 17:51:07 +03:00
shugeo 78443ffebf Working implementation of draw_bounding_boxes op for cpu. 2019-10-07 15:04:44 +03:00
shugeo 16a66a65e3 Added helper declaration for draw_bounding_boxes op. 2019-10-04 21:16:34 +03:00
shugeo 53a2ebddbe Added test and helpers for draw_bounding_boxes op both cpu and cuda related. 2019-10-04 20:46:26 +03:00
shugeo 8f70b4441f draw_bounding_boxes op implementation. Inital revision. 2019-10-04 18:32:21 +03:00
shugeo 908e4c4912 Added implementation for divide_no_nan op and tests. 2019-10-04 10:29:15 +03:00
raver119 cff26f13c5
Revert "Implement divide_no_nan op." 2019-10-03 20:25:52 +03:00
shugeo 6eaca179d6 Implement divide_no_nan op. 2019-10-03 18:22:17 +03:00
shugeo 130ee25682 Implemented compare_and_bitpack op. 2019-10-03 10:57:48 +03:00
shugeo 75ad3c8153 Fixed test names. 2019-10-02 19:05:26 +03:00
shugeo f3e42173ef Refactored buffer copying to avoid wrong usage of buffers. 2019-10-02 16:51:09 +03:00
shugeo 1c6173d218 Added implementation of bitcast op. 2019-10-02 15:04:59 +03:00
shugeo a27e61553a Added tests and fixed op name. 2019-10-02 15:04:28 +03:00
shugeo 863ff76878 Added declaration for bincast op. 2019-10-02 12:17:00 +03:00
shugeo afeb524238 Refactored implementation for adjust_contrast ops. 2019-10-01 14:13:09 +03:00
shugeo 1575c704ae Added implementation for adjust_contrast_v2 op and tests. 2019-10-01 11:44:27 +03:00
raver119 44a8d19ac6
[WIP] Broadcast changes (#8257) 
* - provide correct call NDArray::applyBroadcast inside of NDArray::applyTrueBroadcast

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* - provide new trueBroadcast helper

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* example for yurii

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* - provide new trueBroadcast helper for cpu

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* - start working on new trueBroadcat helper for cuda

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* - further work on trueBroadcast for cuda

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* - fix bugs in cuda helper trueBroadcast

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 2019-10-01 09:10:19 +03:00
shugeo e06dfb5dcc Implementation of adjust_contrast op. 2019-09-30 18:24:12 +03:00
raver119 78bca543a8 missed include for MklDnnTests run without mkldnn 
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 2019-09-12 10:49:01 +03:00
AlexDBlack a66e03355e Merge remote-tracking branch 'fork/master' 2019-09-12 12:20:57 +10:00
raver119 07901ceb69 few more mkldnn dependencies removed 
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 2019-09-12 04:55:59 +03:00
raver119 98e2814879
Platform helpers (#8216) 
* 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
shugeo e1a7460f8e Shugeo cuda doc2 (#255) 
* Added comments to tileKernel routine.

* Refactored kernel and added doc to it.

* Refactored setDiagonal kernel and added doc for it.

* Added doc for tnse cuda helpers.

* Added doc for diag kernels.

* Added doc for kernel.

* Refactored code with fake quantization.

* Added docs for image resize and crop kernels.

* Added docs for image suppression helpers.

* Added docs to matrix_band helpers.

* Added docs for matrix_diag_part and nth_element helpers.

* Fixed syntax error and refactored getIndexOffset usage.
 2019-09-11 21:04:43 +03:00
raver119 589401477d
[WIP] bunch of improvements (#257) 
* - profiling bias_add op
- add some docementation

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* - minor change

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* - provide addBias cuda kernel

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* - improve shape::getIndexOfffset and change its signature

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* - same as previous

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* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements

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* - minor changes in flatten

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* - add function shape::getIndexOffsetOrdered

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* - correct shape::getIndexOffsetOrdered()

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* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function

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 2019-09-11 20:12:09 +03:00
Alex Black 4f7b35ac82
Update links to eclipse repos (#252) 
* Fix repo links and clean up old github templates

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* More link updates

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 2019-09-10 19:09:46 +10:00
raver119 ffae024cda disable threadlocal for apple 
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 2019-09-10 07:46:35 +03:00
shugeo c9f8a904ad Shugeo cuda docs1 (#249) 
* Comments axis shifts.

* Fixed LUP solver usage. Added helpers doc.

* Switch off OMP for roll and lup. Fixed omp usage for ClipByGlobalNorm.

* Switch off omp for ClipByGlobalNorm to reduce omp ambigiousness.
 2019-09-09 16:27:45 +03:00
raver119 1de9fb218e
- bits_hamming_distance dtype fix (#8208) 
- DataTypeUtils::asString fixe + new dtypes added

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 2019-09-06 08:59:05 +03:00
raver119 46f8c58502 - bits_hamming_distance dtype fix 
- DataTypeUtils::asString fixe + new dtypes added

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 2019-09-06 08:57:53 +03:00
AlexDBlack a76a44e198 Merge remote-tracking branch 'fork/master' 2019-09-05 22:04:25 +10:00
raver119 fc222d3325 logging off 
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 2019-09-05 14:45:46 +03:00
Yves Quemener d1e9b34982 libnd4j: Remove some unused declarations in unit tests (#8202) 2019-09-05 15:04:36 +09:00
Ryan Nett 79867f5c5a cleanup SDRNN and rnn ops (#238) 
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 2019-09-05 12:25:03 +10:00
AlexDBlack b7226bdd7a Merge 
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 2019-09-05 00:54:11 +10:00
shugeo 548044a1e2 Shugeo doc (#235) 
* Actualized doc to tnse ops.

* Added comments for dynamic_stitch op.

* Added comments to dynamic_stitch op implementation.

* Modified comment for unstack_list op.

* Added doc for space_to_depth and depth_to_space ops.

* Added doc for space_to_batch op.

* Enlarge test type for adjustSaturation.

* Added doc for runner.
 2019-09-04 14:57:59 +03:00
raver119 a90c7dd995
[WIP] Last set of changes (#234) 
* 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
Alex Black 6cc887bee9
Rename flatbuffers DataType to DType (#228) 
* Rename flatbuffers DataType enum to DType

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* Rename flatbuffers DataType enum to DType

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* Updates for flatbuffers datatype enum renaming

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 2019-09-04 16:36:11 +10:00
raver119 64eaafb4cd remove unwanted noexcept 
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 2019-09-04 08:38:22 +03:00
raver119 7abc574eeb
Snapshot update (#8194) 
* fix double consumption of rng on cpu

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* Shyrma docs (#222)

* - documenting and profiling matrix_set_diag cuda kernel

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* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag

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* cublasHandle sharing + lock

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* cublasHandle sharing + lock

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* Documentation from serialization/deserialization in NLP (#221)

* refactoring

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* Javadocs

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* Javadoc fixed

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* Cleanup

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* dedicated lock for getCudaCublasHandle

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* Small fixes (#223)

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* ELU DL4J fixes (#224)

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* javadoc (#225)

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* Small test compilation fix (#226)

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* #8182 remove spark version suffix (#227)

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* [WIP] Thread safety (#229)

* sync after cublas*gemm

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* mutex for CublasHelper

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* don't store cublasHandle in LaunchContext, it's per-device anyway

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* some printout

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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
raver119 dddc8a1143
[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 22:00:38 +03:00
raver119 9d03bb9425 allow atomicAdd for CUDA 10 only 
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 2019-09-03 13:30:16 +03:00
raver119 f6f9437a36 get back cc 7.0 support for cuda 9.2 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-09-03 09:26:35 +03:00
Yurii Shyrma cb4c9377b1 Shyrma docs (#222) 
* - documenting and profiling matrix_set_diag cuda kernel

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* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag

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 2019-09-02 16:25:58 +03:00
raver119 106524663b fix double consumption of rng on cpu 
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 2019-09-02 15:24:51 +03:00
AlexDBlack 7ded4416cb Merge remote-tracking branch 'fork/master' 2019-09-02 18:52:12 +10:00
raver119 5b8ea3e830 one more tiny cuda fux 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-09-02 11:49:13 +03:00
raver119 e42c34ca55
[WIP] minor (#218) 
* - initial docs commit
- merge* cuda fix

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* one more fix

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* one more fix

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 2019-09-02 11:25:48 +03:00
raver119 c34826da4d fixed args 
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 2019-09-01 22:06:01 +03:00
raver119 00cf28f477 get rid of builtin_popcount to please ppc 
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 2019-09-01 19:57:39 +03:00
raver119 3679e55c49 fix bits_hamming_distance for ppc 
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 2019-09-01 19:33:23 +03:00
Yurii Shyrma a35926c6e9 - add parameter alpha to elu and lrelu_bp (#213) 
* - add parameter alpha to elu and lrelu_bp

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* - forgot to correct header activations.h

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 2019-08-31 20:57:39 +03:00
raver119 b71c993ded
[WIP] maxpool_bp cuda fix (#212) 
* one test for alex

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* fix

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* get rid of safety offset in cpp

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* bfloat16

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* minor test rearrangement to fastpath launch

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* - atomicAdd/Mul/Div fix for float16/bfloat16 misalignment
- one special test for maxpoolbp java
- safety offset of 8 bytes is back to libnd4j legacy

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 2019-08-31 20:57:05 +03:00
Yurii Shyrma 00fd50cee2
Shyrma softmax (#209) 
* - provide new cuda kernel for softmax

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* - further work on cuda kernel for softmax

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* - correction cuda kernel for softmax

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 2019-08-30 20:31:05 +03:00
raver119 bdc3eacafd one small playground test 
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 2019-08-30 20:13:01 +03:00
raver119 70a9ae5068
[WIP] few tweaks (#206) 
* scatter empty check

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* scatter empty test

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* one more test

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* two tweaks

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* dup tweak

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* - put empty checking of indices array immediately prior  helper run

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* minor tests fix

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* minor tests fix

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 2019-08-30 16:32:01 +03:00
raver119 1003428a18
[WIP] Int broadcastables (#195) 
* Removed invalid resource and fixed tests

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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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* 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
Yurii Shyrma 5395d4fbe5 - rewrite broadcast_dynamic_shape and delete corresponding helpers (#194) 
Signed-off-by: Yurii <yurii@skymind.io>
 2019-08-29 20:38:02 +03:00
Yurii Shyrma 70af8c2afc Shyrma svd (#191) 
* - add one additional test for svd

* - provide float argument in eye op to be a type of output array

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* - add cuda capability check to mmulHelper

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* - make use another method for divice id evaluation

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* Eye data type as T argument

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 2019-08-28 18:27:08 +03:00
raver119 dec296da17
[WIP] bits_hamming_distance (#192) 
* bits_hamming_distance op

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* bits_hamming_distance cuda

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 2019-08-28 18:20:44 +03:00
raver119 f4860574d7
[WIP] More fixes (#190) 
* Refactored kernels for segment_max/min/sum ops.

* Refactored segment_prod kernels.

* Refactored segment_prod kernels.

* DynamicPartition test

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* Addede linear test for dynamic_partition op.

* Refactored test with int datatype.

* some logging

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* some logging

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* some logging

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* dynamicPartition fix

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* get rid of some logging

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* one more test for dynamic_stitch

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* one more test for dynamic_stitch

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* empty check for stitch

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* minor print changes

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 2019-08-28 15:38:57 +03:00
raver119 3157ec110c
[WIP] reverse_sequence (#188) 
* initial commit

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* one more print

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* minor fix

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* reverse_sequence fix

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* confusion_matrix test updated

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* minor tweak

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* minor tweak

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* one more reverse_sequence test

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 2019-08-28 11:14:22 +03:00
raver119 b472d7d8c8
[WIP] few more fixes (#182) 
* one noop test

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* 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

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* one svd test

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* Corrected segment_mean helpers and added another test.

* Refactored segment_mean kernels to avoid race_condition.
 2019-08-27 21:00:38 +03:00
Yurii Shyrma 2144941313 Shyrma fix2 (#186) 
* - further work on layer_norm

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* - further work on layer_norm 2

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* - correct helpers for svd cuda

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 2019-08-27 19:57:59 +03:00
shugeo 0849b3c1a4 Shugeo segment fix2 (#185) 
* Added test for segment_mean.

* Added another test for segment_mean.

* Fixed segment_* ops helpers for cuda to proper use external data.
 2019-08-27 18:25:39 +03:00
raver119 7f0c660d8b
[WIP] HGemm (#181) 
* skip string arrays for device validation

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* confusion_matrix fix

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* exclude cublasHGemm from archs < 530

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 2019-08-27 15:05:43 +03:00
raver119 0e523490e9
[WIP] confusion (#180) 
* skip string arrays for device validation

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* confusion_matrix fix

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 2019-08-27 14:30:37 +03:00
raver119 a49f7c908b
[WIP] More fixes (#178) 
* skip string arrays for device validation

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* histogram_fixed_width now really supports indexing types

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 2019-08-27 13:21:01 +03:00
raver119 efbfafe3f7
[WIP] gatherND fix (#176) 
* one test for gather_nd

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* get rid of old concat tests

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* one printf

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* one more legacy test removed

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* gatherNd launch params fix

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* gatherNd launch params fix

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 2019-08-27 12:35:14 +03:00
raver119 df84bc7255
[WIP] More tweaks (#173) 
* CUDA empty reduction

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* - listdiff synchronization fix for CUDA
- listdiff test

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* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output

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 2019-08-27 10:37:10 +03:00
raver119 25e5c23eae
[WIP] Error handling (#169) 
* 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
raver119 bb5fc36e5e
[WIP] ops fixes (#168) 
* - correct layer_norm

Signed-off-by: Yurii <yurii@skymind.io>

* - further fix of layer norm

Signed-off-by: Yurii <yurii@skymind.io>

* - correct scatter_upd op

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* - correct cuda kernel for histogram_fixed_width op

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* - delete comments

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* enabled one ignored test

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 2019-08-26 19:37:05 +03:00
Alex Black b417ca21bf
Fix for concat op shape function (empty shapes) (#167) 
Signed-off-by: AlexDBlack <blacka101@gmail.com>
 2019-08-26 23:10:28 +10:00
raver119 daf5420f4c cmake fix for windows debug build 
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 2019-08-26 08:13:22 +03:00
raver119 ece6a17b11
lup context fix (#164) 
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 2019-08-24 16:57:48 +03:00
raver119 841eeb56c5 get rid of context variable 
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 2019-08-24 16:18:38 +03:00
raver119 b091e972ef
- string NDArray flat serde impl + tests (#163) 
- string NDArray equalsTo impl

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 2019-08-24 14:16:34 +03:00
raver119 f8364997c0
[WIP] maxpool2d_bp fix (#160) 
* one test for maxpool2d_bp

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* - maxpool2d_bp cuda fix for NaNs
- streamSync after each custom op execution

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 2019-08-24 09:20:57 +03:00
raver119 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

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* 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

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* Added test for lower inversion

* - fix bug in upsampling2d/3d_bp op

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* Added expensive printfs to kernel.

* Refactored expensive kernel prints.

* Refactored expensive printfs

* - remove nullify

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* 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
raver119 99cdf6d42b - cpu isMax fix for multidim case + test 
- INDArray.wasClosed() fix for empty array edge case

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 2019-08-23 18:44:37 +03:00
raver119 fb8de5006f - concat empty scalar fix 
- couple of tests for empty scalar concat

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 2019-08-23 13:16:50 +03:00
raver119 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
raver119 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
raver119 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
Alex Black e855e47f73
More fixes (#148) 
* Small batch norm fix (cuda/no-mkldnn)

Signed-off-by: Alex Black <blacka101@gmail.com>

* Dropout fix for RnnOutputLayer

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* Allow block size < 2 in batch_to_space_nd and space_to_batch_nd for import, in spite of what TF docs say

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 2019-08-22 19:55:27 +10:00
raver119 eea3062ccf
[WIP] stb/bts nd (#144) 
* - start working on space_to_batch_nd

Signed-off-by: Yurii <yurii@skymind.io>

* - provide cpu helper for space_to_batch_nd op

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* few typos fixed

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* - add tests for space_to_batch and correct bugs

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* - write cuda kernel for space_to_batch op

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* - add order argument to shape::index2coords method in convolution cuda ops

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* - restore some previous code

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* old col2im kernel activated

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* - change coords calculation in col2im kernel

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* - restore old col2im kernel

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* - add custom op for batch_to_space

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* - provide cpu version for batch_to_space_nd op

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* - provide cuda kernel for batch_to_space_nd op

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 2019-08-21 21:11:46 +03:00
raver119 e604ffe0d2
[WIP] repeat op (#143) 
* - write new repeat helper (cpu)

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* - update NDArray::cpu

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* - update NDArray::repeat cuda

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 2019-08-21 21:10:29 +03:00
raver119 3cf72e5e30
[WIP] More fixes (#142) 
* atomicAdd cc 70+

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* additional 8 bytes alocation

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* missed include 2019

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* less spam

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 2019-08-21 20:18:29 +03:00
raver119 0adce9a4fa minor fix for msvc 
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 2019-08-21 16:34:07 +03:00
raver119 d9ab299759
[WIP] Minor fixes (#140) 
* - Tile java shape fn removed
- Tile 0 validation added
- scatter_upd test

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* additional tile validation

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* - provide vector case in cuda scatter op

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* cpu ismax view fix

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* exp

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* cuda ismax fix

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 2019-08-21 15:05:47 +03:00
raver119 77805cb7fa
[WIP] cpu ismax fix (#137) 
* cpu ismax fix

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* bunch of smaller scalar tests

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 2019-08-21 10:12:11 +03:00
raver119 4310e87860 include path fix for java 
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 2019-08-21 07:32:21 +03:00
raver119 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

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 2019-08-20 18:52:41 +03:00
raver119 23c8738d4a
syncthreads (#136) 
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 2019-08-20 18:28:43 +03:00
AlexDBlack 01cb57041a Merge 
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 2019-08-19 18:46:47 +10:00
raver119 aceb915557
[WIP] tests fixes (#130) 
* no openmp for ClipByGlobalNorm

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* 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

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 2019-08-19 11:33:15 +03:00
raver119 bb80fe4f94 Merge remote-tracking branch 'origin/master' 2019-08-17 14:52:13 +03:00
raver119 8944e5f67f no thread_local for cpu 
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 2019-08-17 14:51:54 +03:00
raver119 56910ddee7 no thread_local for cpu 
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 2019-08-17 14:51:39 +03:00
raver119 e22880fd76
[WIP] Roll rewritten (#128) 
* Process correct input vector.

* Added tests for roll.

* Refactored roll to conform with TF. Eliminated memory leaks with Roll op tests.
 2019-08-17 14:15:08 +03:00
raver119 5c908886b0
OP/CONFIGURABLE_OP shapefn fix (#125) 
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 2019-08-16 08:53:30 +03:00
Yurii Shyrma 9f2ba6a85d Shyrma concat2 (#119) 
* - rewrite/improve concat

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* - ged rid of unnecessary argument in concat kernel

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 2019-08-16 06:57:20 +03:00
raver119 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
raver119 72cb5936f1 no openmp for ClipByGlobalNorm 
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 2019-08-15 18:24:29 +03:00
raver119 935cbf5df3 fix test 
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 2019-08-15 18:19:24 +03:00
shugeo 3c7cd2397c Eliminated memory leaks and dropped waste prints with tests. (#117) 2019-08-15 15:28:19 +03:00
shugeo f083b96c74
Shugeo cuda tests (#116) 
* Added tests for get_seed/set_seed ops.

* Added missed tests for scatter_sub/mul/div ops.

* Added tests for hardsigmoid and hardsigmoid_bp.

* Added tests for hardtanh and hardtanh_bp ops.

* Added test for histogram op.

* Added tests for identity op.

* Refactored mergemaxindex op. Added tests for log1p,mergemaxindex, mod and mod_bp ops.

* Fixed tests for FloorDiv.

* Added test for rank op.

* Added tests for rationaltanh/rationaltanh_bp ops.

* Added tests for realdiv/realdiv_bp.

* Added tests for rectifiedtanh/_bp ops.

* Added tests for shapes_of op.

* Added tests for shapes_of op.

* Added tests for size op.

* Added tests for softplus/_bp ops.

* Added tests for softsign/_bp ops.

* Added tests for toggle_bits op. Fixed processing of OP_IMPL and so on defititions.

* Added test for truncatediv op.

* Added another test for truncatediv op.

* Added another test for histogram.

* Added tests for unstack_list op.

* Refactored to_int32/uint32/float16/float32/double/int64/uint64 ops and tests.

* Refactored mergemaxindex op helper for cuda platform and tests.

* Fixed cuda kernel for histogram op helper.

* Refactor skipgram to avoid early buffers shift.

* Fixed check up with non_max_suppression op cuda helper. Added cuda kernel implementation for skipgram op helpers.

* Added implementation of skipgram op helper for cuda platform. Working revision

* Fixed mergeMaxIndex kernel and move it to separate source file.
 2019-08-15 13:54:47 +03:00
raver119 6264530dd8
[WIP] bitwise ops (#115) 
* - cyclic_shift_bits + test
- shift_bits + test

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* OMP_IF replacement

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 2019-08-15 11:49:50 +03:00
raver119 c7277729e9
few fixes for bfloat16 in java and cpp (#114) 
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 2019-08-14 21:51:42 +03:00
raver119 e0f8d86eac bunch of shape functions fixed 
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 2019-08-14 18:28:25 +03:00
raver119 53ca9a76e8
[WIP] multi-device support (#80) 
* fix pad javadoc and @see links. (#72)

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* [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

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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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* [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
raver119 f49c4ea9d0
int -> long (#108) 
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 2019-08-10 09:14:18 +03:00
raver119 6ed03217b4 concat cuda helper 
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 2019-08-09 13:01:51 +03:00
raver119 1a0a8b1497 duplicate pad impl 
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 2019-08-08 20:28:14 +03:00
raver119 7fa01288bb
[WIP] cuda concat (#107) 
* - correct cuda concat

Signed-off-by: Yurii <yurii@skymind.io>

* - pooling 2d/3d : take into account possible case when input and gradI have different strides

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* master pulled in

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* floordiv_bp test reverted

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* - add NDArray::printLinearBuffer method

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 2019-08-08 18:05:21 +03:00
raver119 62a025439b java cuda compilation fix 
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 2019-08-07 21:36:27 +03:00
raver119 55066d9c41 bad fatbin option removed 
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 2019-08-07 19:34:25 +03:00
raver119 fb139fcac6 clip by global norm msvc fix 
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 2019-08-07 18:18:38 +03:00
raver119 24e43e9856
[WIP] build time improvements (#106) 
* 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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* [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

Signed-off-by: Yurii <yurii@skymind.io>

* - remove old test for batch_to_space (had wrong format and numbers were not checked)

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for concat.

* comment unnecessary stuff in s_t_b

Signed-off-by: Yurii <yurii@skymind.io>

* 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...)

Signed-off-by: Yurii <yurii@skymind.io>

* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

Signed-off-by: Yurii <yurii@skymind.io>

* 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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* couple of legacy groups reorganized into separate compialtion units

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* wrong include

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* wrong include

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* ReductionLoops_float split

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* maximum

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* some more rearrangements

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* spare ifdef

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* mirror pad

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* - reduce_float split
- mcmodel

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* bad include fix

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* norelax

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* norelax

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* norelax

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* norelax

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* norelax

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* norelax gone

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* get back sm

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* fix couple of tests for msvc

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* fix couple of tests for msvc

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* compress-all

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* reduced arch list

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* compress-all

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* reduced arch list

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* all compute capabilities option for tests

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 2019-08-07 17:49:13 +03:00
shugeo c78f5a8225
Shugeo cuda cuda (#105) 
* Refactored extract_image_patches op helpers.

* Eliminated compliler errors with helper implementation.

* Finished implementation for extract_image_patches both cpu and cuda helpers.

* Improved cpu implementation.

* Improved cuda implementation for extract_image_patches helper.

* Added omp to ClipByGlobalNorm helpers implementation.

* Added implementation for thresholedrelu_bp op.

* Fixed cuda kernel with F order.

* Fixed tests for subarray.

* Refactored tests for Gaussian_3 and Truncated_22.

* Added tests for GaussianDistribution with native ops.

* Modified tests for Gaussian distribution.

* Fixed random tests.

* Fixed atomicMin/atomicMax for 64bit cases.

* Fixed tests for execReduce3TAD tests.

* Eliminated waste comments.
 2019-08-07 15:29:17 +03:00
Alex Black b8846113bd
Small number of fixes + cleanup + some missing op methods + constructors (#100) 
* Remove unused op class - DefaultOpConverter

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Add SDImage class; INDArray constructor additions

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Floordiv

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* Small polish to image methods

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* Small DataVec test fix

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 2019-08-05 22:31:46 +10:00
raver119 b597fb942b temporary stack fix 
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 2019-08-05 11:28:07 +10:00
raver119 b75bac750d exclude two methods for JNI (#97) 
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 2019-08-05 11:28:07 +10:00
raver119 2447af0953 exclude two methods for JNI 
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 2019-08-05 11:28:07 +10:00
raver119 aefdbc17d6 exclude two methods for JNI 
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 2019-08-05 11:27:05 +10:00
raver119 e2b7675e9c build fix 
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 2019-08-05 11:27:05 +10:00
raver119 3c4e959e21 [WIP] More of CUDA (#95) 
* initial commit

Signed-off-by: raver119 <raver119@gmail.com>

* 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

Signed-off-by: Yurii <yurii@skymind.io>

* - remove old test for batch_to_space (had wrong format and numbers were not checked)

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

Signed-off-by: Yurii <yurii@skymind.io>

* Added test for concat.

* comment unnecessary stuff in s_t_b

Signed-off-by: Yurii <yurii@skymind.io>

* 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...)

Signed-off-by: Yurii <yurii@skymind.io>

* - debugging and fixing cuda tests in JavaInteropTests file

Signed-off-by: Yurii <yurii@skymind.io>

* - correct some tests

Signed-off-by: Yurii <yurii@skymind.io>

* 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

Signed-off-by: Yurii <yurii@skymind.io>

* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

Signed-off-by: raver119 <raver119@gmail.com>

* 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

Signed-off-by: raver119 <raver119@gmail.com>

* 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

Signed-off-by: Yurii <yurii@skymind.io>

* 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

Signed-off-by: Yurii <yurii@skymind.io>

* 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

Signed-off-by: Yurii <yurii@skymind.io>

* 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

Signed-off-by: Yurii <yurii@skymind.io>
 2019-08-05 11:27:05 +10:00
Alex Black e18e2dc014 Various ND4J/DL4J fixes (#90) 
* Deprecate Old*Op instances

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #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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 2019-08-05 11:25:48 +10:00
raver119 065b34c7cb [WIP] Numpy boolean import (#91) 
* numpy bool type

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* numpy bool java side

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 2019-08-05 11:25:48 +10:00
Ryan Nett d4e7997134 SameDiff Convolution Config validation, better output methods (#82) 
* 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
Samuel Audet 8d1fe8b1b3 Fix functions of OpaqueVariablesSet 2019-08-05 11:24:20 +10:00
Samuel Audet 526b782e51 Create C wrappers for some of the C++ classes currently used by ND4J 2019-08-05 11:22:59 +10:00
Samuel Audet 780ae628a9 Actually export functions from NativeOps.h 2019-08-05 11:22:59 +10:00
Samuel Audet dcc72e23b2 Refactor NativeOps.h to export C functions 2019-08-05 11:22:59 +10:00
raver119 7c5c84bea8 4 additional tests 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-08-05 11:21:23 +10:00
raver119 ce0743da17 strided_slice_bp shape fn leak fix 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-08-05 11:13:42 +10:00
raver119 2cd95dc517 upsampling2d fix CUDA 
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 2019-08-05 11:13:41 +10:00
raver119 4f2dae23a1 - new NDArray methods like()/ulike() (#77) 
- fix for depthwise_conv2d_bp + special test

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 2019-08-05 11:13:41 +10:00
raver119 b9708be5db delete temporary TadPack C++/Java side (#74) 
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 2019-08-05 11:11:22 +10:00
raver119 59a006ce29 [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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 2019-08-05 11:11:22 +10:00