Commit Graph

189 Commits (1930d9990810db6214829c716c2ae7eb7f59cd13)

Author SHA1 Message Date
raver119 a10fd4524a
Fix for certain non-ews cases (#402)
* BtS/StB/StD/DtS dup for views

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

* batchnorm_bp dup for views

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

* two java tests for bad strides

Signed-off-by: raver119 <raver119@gmail.com>
2020-04-21 12:41:30 +03:00
shugeo 0eca33ad94
Shugeo cuda solver fix (#383)
* Refactored cuSolver handle usage to handle LaunchContext instance properly.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored svd solver usage with LaunchContext instance singleton.

Signed-off-by: shugeo <sgazeos@gmail.com>

* add device locks for cuSolver uses

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-04-17 16:52:08 +03:00
Yurii Shyrma 4247718f61
Shyrma gru bp (#377)
* - update gru ff op

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

* - implementation and testing gru_bp op

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

* - neglect dependencies between dLdh/dLdhLast/dLdcLast in lstmLayer backprop

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-04-16 08:09:04 +03:00
Yurii Shyrma 23e4aa99ad
Shyrma lstm layer bp (#370)
* - start working on bp for lstm

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

* - further working on bp for lstmLayer

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

* - minor change

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

* - further work on bp for lstmLayer 2

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

* - further work on bp for lstmLayer 3

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

* - further work on bp for lstmLayer 4

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

* - further work on bp for lstmLayer 5

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

* - further work on bp for lstmLayer 6

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

* - further work on bp for lstmLayer 7

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

* - further work on bp for lstmLayer 8

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

* - further work on bp for lstmLayer 9

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

* - provide lstmLayerCell and lstmLayerCellBp as separate CUSTOM_OPs

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

* - testing and fixing lstmLayerCellBp helper

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

* - implement lstmLayerCellBp as separate op

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

* - implement lstmLayerBp as separate op (not tested)

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

* - fixing calculations of dLdWp and dLdb in lstmLayerCellBp

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

* - further work on bp for lstmLayer 10

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

* - fixing typo in lstmLayerTimeLoop

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

* - forgot to perform clipping of c array and calculate corresponding derivative in lstmLayerCellBp

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

* - further work on bp for lstmLayer 10

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

* - testing and fixing bugs in lstmLayer_bp op 1

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

* - testing and fixing bugs in lstmLayer_bp op 2

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

* - turn off heavy tests for cuda for lstmLayer_bp op

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

* - forgot to nullify gradients at eliminated time steps (when sequnce length array is present )

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-04-13 13:21:51 +03:00
Oleh bf0ddbc06c
libnd4j fixes for context sync in operation execution (#350)
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-30 16:33:51 +03:00
Oleh e8cbf5255a
Backpropagation implementation of mergemax, mergeadd and mergeavg ops (#343)
* libnd4j: first step of merge_max implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for mergeMaxBp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some minor corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j test added for mergemax_bp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several problems tests added, check with gradCheck

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j remove duplicated tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j split implementation of transforms ops into separate file implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j code clean up, added mergeavg_bp and mergeadd_bp, need testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master, fixed typos and added tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some minor fixes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added helper for mergeAddBp operation, this permits to skip nullify

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j file renaming changes and cuda some corrections, need some additional corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some additional corrections for merge ops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more corrections per request for cuda more proper usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-25 08:40:30 +03:00
Oleh 55ec207eb8
Split convolutions implementations for compilation speed up (#339)
* libnd4j first step of convolutions implementation split

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j convolutions cuda implementation split

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j code clean up

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-23 07:30:26 +03:00
Oleh 69c92ca5ae
Learning updaters for gradient (#335)
* libnd4j raw implementation of sgd upader

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections and simple test added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections after discussion

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j integrate applyScalar

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j raw implementation of rmsPropUpdater on cpu

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fix operations declaration

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j rmsPropUpdater added, test cases for sgd, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some fixes and improvements for rmsPropUpdater based on Java tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed cuda implementation, update tests and corrected behavior according java tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j adaGrad updater added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one minor fix for ada grad

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several more fixes for ada_grad

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j nesterovs updater added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed nesterovs updater behavior, several typos and rename file

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one minor typo

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j ada max updater added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos in adaMax updater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos in adaMaxUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several fixes for adaMax, added Adam Updater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j adaDeltaUpdater added, minor fixes for adamUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several fixes for adaDeltaUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j nadamUpdater added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one more correction for nadam updater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several fixes for nadam updater and added amsGradUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several typos fixed in amsGradUpdater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections and added f order support rmsProp updater

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added support of f order for all updaters and modify tests for testing in place

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed issues for updates when not in place mode used, added tests for f order

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added input shape checks

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for different cases handling

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some code clean up and optimize per request

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j updaters refactoring after review

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* SgdUpdater wrapper

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* first test

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* RmsPropUpdater added

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* NadamUpdater + NesterovsUpdater

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* AmsGradUpdater

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* AdamUpdater added

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* AdaGradUpdater + AdaDeltaUpdater + AdaMaxUpdater

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* AdaGradUpdater test added

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* libnd4j remove input parameters parsing through NDArray, split implementation of helpers to separate files, added some rename, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j next step to split operations implementation into separate files

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master and minor corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j revert some changes of split implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j forgot to add header file

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* public default constructors

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* ImportClassMapping updated

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Co-authored-by: raver119 <raver119@gmail.com>
2020-03-23 07:28:31 +03:00
Yurii Shyrma e700b59f80
Shyrma weights format (#329)
* - start to introduce additional weights formats into conv2d ops

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

* - provide weights format variety in backprop conv2d and deconv2d ops, testing and fixing bugs

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

* - forgot to recover kernels sizes in deconv2d_bp test

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

* - built in weights format in depthwise conv 2d op

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

* - provide new weights formats in mkl dnn conv ops

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

* - provide new weights formats in cuda conv helpers

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

* - working with new weights format in cudnn conv api

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

* - take into account order of arrays in cudnn tensor descriptions

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

* - provide new weights formats in cpu conv3d (ff/bp)

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

* - provide new weights formats in cpu deconv3d (ff/bp)

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

* - provide new weights formats in conv3d ops (ff/bp) based on mkl api

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

* - provide new weights formats in conv3d ops (ff/bp) based on cudnn api

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

* - resolve conflicts 2

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-20 12:11:27 +03:00
raver119 7a2ac800dd
Nullify (#304)
* initial commit

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* bunch of tweaks

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* hamming distance nullification

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* Add output array value assignment for testing/debugging

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

* don't assign empty arrays

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* conv2d/conv3d/depthwise2d nullified

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* conv2d/conv3d/depthwise2d nullified

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* conv2d/conv3d/depthwise2d nullified

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* few more fixes

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* im2col

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* pooling?

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* more nullified

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* ismax nullified

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* rollback ismax nullification

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* synchronized cublas handle use on per-device basis

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* hiding method from jcpp

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* get rid of test assigns in DeclarableOp

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* get rid of assigns

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* proper deviceId is back

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* include fixed

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Co-authored-by: Alex Black <blacka101@gmail.com>
2020-03-20 08:49:28 +03:00
raver119 77244f5496
avg/max pooling3d bp fixed (#323)
Signed-off-by: raver119 <raver119@gmail.com>
2020-03-16 18:17:42 +03:00
Yurii Shyrma 58550b7c98
[WIP] Shyrma coords (#305)
* - provide faster index2coords function for cpu

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

* - new faster index2coords function is introduced into cpu code

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

* - replace long long coordinates with int coordinates

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

* - add missed reload of coords2index function

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

* - reststart  jenkins

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

* - rollback changes in convolutions.cu and addBias.cu

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-03-11 16:21:59 +03:00
Oleh c3223dbc7a
Improve ResultSet usage in libnd4j (#281)
* libnd4j profiling DeclarableOp and Tests by replacing return ResultSet pointer by instance

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j profiling semantic change in tests cases

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections to make new ResultSet semantic works, fixed one test

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more tests fixes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - correct copy and move assignment operators of ResultSet class

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

Co-authored-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-03-10 07:42:50 +03:00
raver119 57210b936c
Revert "OpenMP Threads execution (#297)" (#299)
This reverts commit dd2043ef48.
2020-03-09 08:22:49 +03:00
raver119 dd2043ef48
OpenMP Threads execution (#297)
* omp threads backported

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* omp scalar reduce

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* timing

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* timing

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* minor tweaks

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* minor tweaks

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* namespace change

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* num_threads

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* one minor fix

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2020-03-09 08:21:44 +03:00
raver119 784a2d13f8
separate omp impl for softmax (#289)
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2020-03-05 11:14:22 +03:00
raver119 ca96a13ed0 softmax as standalone compilation unit
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2020-03-05 08:45:10 +03:00
raver119 f990b2486d
simplified addBias2D for CUDA (#285)
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2020-03-04 09:50:55 +03:00
Yurii Shyrma 78934c17ad
profiling of stack and unstack ops (#261)
* - profiling of stack and unstack ops

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

* - fix bug in cpu concat op

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

* - correction of cuda stack and unstack

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

* - change shape.h method which operates with unity dimensions strides

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

* - rearrange stack tests

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

* - correct evaluation of smallest stride for moving through contiguous axis

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* - forgot to update signature of function strideOverContigAxis in cuda concat and split ops

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

* - remove ShapeUtils::shapeAsString method applied before input arrays validations

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

* -  further removing of ShapeUtils::shapeAsString

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

* - take sub-array shapeIndo/offset calculation out of NDArray class
- add possibility of contiguous memory copy in execTransformAny op if opNum == assign

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

* - correct test_empty_scatter_2 in EmptyTests.cpp

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

* - profiling of slice op

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* - get rid of contiguous memcpy for some cases in concat and split ops

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

* - forgot to declare oid nd4j::SpecialMethods<T>::splitCpuGeneric

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

* - correct typo in calculation of threads in cuda split op

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

* - forgot to correct another set of threads variables in split cuda ops

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

* - further conflicts resolving

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-03 07:32:37 +03:00
raver119 63fa3c2ef3
libnd4j polishing (#273)
* initial set of include changes

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* one more tweak

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* few more rearrangements

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* few more rearrangements

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* few more rearrangements

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* cuda includes rearrangements

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* java update

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* = namespace changed to sd
- few CMake variables renamed with SD_ prefix

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* java update

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* LoopKind minor fix

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* few more changes

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* few more changes

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* few more changes

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* sanitizer is optional now

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* dev tests updated

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* few more changes

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* last update

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* java update

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2020-03-02 12:49:41 +03:00
Oleh f116f53d61
Loops auto-vectorization problem fix (#277)
* libnd4j cast loop types

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more type castination added to loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j sync casting types of iterated variable in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more loops reviewed for vectorization problem fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several more files reviewed to fix auto-vectorization problem in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master and reviewed more files to fix auto-vectorization problem in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several type casting added in broadcasting that were missed, fixed mac builds

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j double check all files and fix several more places in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed builds

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j revert changes for lup.cpp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more files reviewed for auto-vectorization problem fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-02-28 17:04:45 +03:00
shugeo 330a69d4e2
Shugeo solve ls (#203)
* lstsq op. Initial commit.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Least squares linear problem solve op (lstsq). Cpu draft implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed shape routine and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added test for lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Rectification for lstsq op implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Corrected test to avoid numerical inconsistensy.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added prints for check computing.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Corrected tests to use evalueate facility instead.

Signed-off-by: shugeo <sgazeos@gmail.com>

* CPU implementation of MatrixSolveLs op and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added cuda implementation for helpers with lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored tests for lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added processing for empty inputs.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Merged tests.

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* Refactored lstsq op for fast case.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed test.

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* Refactored lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed some issues with solve.

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* Fixed lstsq op to avoid erros.

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* Added kernel for giagonal factor

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* lstsq wrapper and triangular_solve fixed

* Added proper processing empty inputs and test.

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* SequenceMask test

* Build fixed

* Added proper processing of empty inputs with solve op.

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* Mapping added

* Added check of input shapes with solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a couple of tests for lstsq op and minor changes with cuda helper for one.'

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* Tests on

* Refactored test for lstsq op.

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* Fixed test

* Added another approach for lstsq op aka solve_ls.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Finished cpu part for solve_ls op helpers.

* Added helper for low triangular matrix inversion.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored alternate solve_ls cpu implementation.

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* Removed alternate approach for solve_ls op. Added multithreading with matrix inversion.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Assert fixed

* Refactored multithreading for inverse matricies.

Signed-off-by: shugeo <sgazeos@gmail.com>

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-02-28 11:37:26 +03:00
Oleh b4575d11e9
Loops auto-vectorization problem fix (#274)
* libnd4j cast loop types

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more type castination added to loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j sync casting types of iterated variable in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more loops reviewed for vectorization problem fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several more files reviewed to fix auto-vectorization problem in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master and reviewed more files to fix auto-vectorization problem in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j several type casting added in broadcasting that were missed, fixed mac builds

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j double check all files and fix several more places in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed builds

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j revert changes for lup.cpp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-02-26 21:12:19 +03:00
Oleh b686368b82
Refactoring split operation (#266)
* libnd4j moved split operation implementation to helpers before special case adding

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor fixes for general split operation move, merge master

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libndj4 split cpu implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - provide cuda helper for split op

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

* - minor correction

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* - minor correction 2

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* libnd4j moved split implementation from specials to split.cpp

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* libnd4j update loopkind selections for 3D, 4D and 5D cases

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j removed unnecessary BUILD_SINGLE_TEMPLATE

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-02-26 10:20:39 +03:00
Oleh f0706b21aa
Split operation improvement (#262)
* libnd4j moved split operation implementation to helpers before special case adding

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor fixes for general split operation move, merge master

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libndj4 split cpu implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - provide cuda helper for split op

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

* - minor correction

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* - minor correction 2

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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-02-24 08:22:41 +03:00
shugeo 1bb3ae4b03
Shugeo unordered map (#256)
* Refactored usage of std::map to std::unordered_map instead.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Eliminated crash with wrong ShapeDescriptor hash.

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* Eliminated crash with TadDescriptor hash.

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* Refactored Stash hash.

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* Refactored hashes.

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* Refactored TadDescriptor hash and top_k mapping.

* Refactored hashes for ShapeDescriptor and TadDescriptor classes.

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* Refactored hash for ConstantDescriptor and ShapeDescriptor classes.

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* Fixed map using with cuda platform.

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* - few rearrangements for hash functions
- shared openblas allowed

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* exports

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* exports

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* Stash reverted to std::map

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* Added additional test.

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* different maps for different compilers

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* missing include

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* fix the leak

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2020-02-24 07:51:01 +03:00
Yurii Shyrma f7a9190407
profiling of concat op (both cuda and cpu) (#151)
* - profiling of concat op (both cuda and cpu)

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

* better comparison for large concat

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* - further improving of concat op

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* some loggin

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* - add possibility to verify presence of trailing unities in shape and set strides/ews correspondingly
- restrict second simple case in concat op to c order only

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

* - move concat op to specials_single.cpp file

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* - get rid of second concat op declaration in transforms.cpp file

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-02-20 21:19:01 +03:00
raver119 215641ea9e
Minor improvements (#255)
* static increments in loops

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* specials and concat split into separate units

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2020-02-20 11:43:26 +03:00
Yurii Shyrma c5193ecb81
Shyrma gather (#254)
* - profiling gather op for aurora

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

* - include contiguous memcpy in gather op

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2020-02-19 09:35:52 +03:00
raver119 f9d51b7278
More compilation units (#246)
* weird edge case

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* weird edge case

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* get rid of it

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* crop and resize reorganized

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* restore test

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* remove unwanted unit refs in cmale

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2020-02-17 10:23:05 +03:00
raver119 9e3c1b02b1
Perf improvements (#242)
* initial commit

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* meh

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* better ExpandDims impl

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* better Squeeze impl

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* better Softmax impl

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* one test disabled

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* more accurate impl

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* - GraphProfiler now prints full shapeInfo instead of shape
- softmax typo fix

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2020-02-14 16:20:31 +03:00
Yurii Shyrma fe47f52896
Oleh tenzor mmul (#231)
* Libnd4j: TensorMMul backprop op #8174, raw implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 merge master and some corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 algorithm update, need testing, sync with  master

* Libnd4j: TensorMMul backprop op #8174 fixed incorrect B axes calculation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 optimize axes identification and fix bug of indeces overlapping, added first test. need testing with different shapes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 some fixes and improvements need more testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 fixed order of matrix multiply

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 fixed issue of incorrect axes definition, add tests based on TF, need additional testing for case dLdC not equal 1

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 fixed scalar case add test

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 fixed bp algorithm, axes definition, need some mode testing with different orders combination f,c; c,f f,f and add some checks for inputs

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 some checks and corrections added tests, exists the problem with different input orders support A-f B-c and A-f B-f

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 sync master

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - correct bug in MmulHelper::tensorDot(a, b, c, axes_a, axes_b,permutForC)

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

* Libnd4j: TensorMMul backprop op #8174 code clean up and refactoring

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - add check for linspase ordered permutations in ShapeUtils::evalShapeForTensorDot

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

* - provide additional code in shape::reshape stuff in order to reduce amount of allocation/copy operations during reshaping procedure

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

* - further work on problem of wrong shape evaluation during permute/reshape procedures

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

* - still looking for bug reason in reshape/permute stuff

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* - correct bug in transform cuda native ops

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* - correct bug in NDArray::assign

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* - remove old shape::reshape stuff

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* - add possibility to disable copy of old buffer to new buffer during reshape operation in NDArray class

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* - correct bug in tensorDot which had to do with wrong pointers assigments

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

Co-authored-by: Oleh <oleg.semeniv@gmail.com>
2020-02-13 20:33:54 +03:00
shugeo f0c684020f
Shugeo resize area fix4 (#229)
* Fixed a couple of issues with resize_area op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added additional test for alternate params for resize_area testing.

Signed-off-by: shugeo <sgazeos@gmail.com>
2020-02-12 19:02:42 +03:00
Abdelrauf bead656feb
Initial performance improvement for Bias Add and etc #8556 (#217)
* Initial  performance improvement for Bias Add, loop coords helpers and increment aligned parallel threading

Signed-off-by: AbdelRauf <rauf@konduit.ai>

* One more test for Rauf

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* disable couple of perf tests

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Co-authored-by: raver119 <raver119@gmail.com>
2020-02-08 15:31:30 +03:00
shugeo 5ae40f6e38
Shugeo sequence mask fix2 (#216)
* Fixed sequence_mask op and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Cuda fix for sequence_mask op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed sequence_mask op for both platforms and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed solve and triangular_solve for more than 2D for adjoint cases.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added adjoint solve test again.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a set of tests for triangual_solve and generic solve ops.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a pair tests for triangular_solve

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added tests for triangular_solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>
2020-02-06 21:06:50 +03:00
shugeo 41ff907bc6
Shugeo solve linear (#191)
* linear equations systems solve op. Initial commit.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed compiling issues.

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* Linear equations systems solve. The next stage commit.

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* Added test for linear equations systems solve operation.

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* Added additional test and fixed lower matrix retrievance.

* Implementation for solve of the systems of linear equations."

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* Refactored permutation generation.

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* Added restore for permutations batched with cuda helper for solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Finished cuda implementation for solve op helpers.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored cpu helpers for solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fix gtest output on Windows

* Fixed issue with permutation matrix for cuda implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed issue with permutation matrix for cpu implementation.

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* Eliminated waste comments.

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* LinearSolve added

* Mapping added

* Javadoc added

* Refactored implementation of triangular_solve helpers and tests for solve matrix equations generally.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a test for solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Solve test added

* Fix for TF import

Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-02-04 08:59:11 +03:00
raver119 ba961c7601
DataTypes & FlatBuffers (#197)
* flatbuffers version upgrade

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* flatbuffers version upgrade java side

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* flatbuffers dependency version upgrade java side

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* MKLDNN version upgrade

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* DArgs first pass

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* signatures first pass

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* signatures second pass

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* signatures third pass

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* signatures third pass

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* signatures fourth pass

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* signatures fifth pass

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* flatbuffers UI version upgrade java side

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* flatbuffers ui update

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* flatbuffers downgrade

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* flatbuffers downgrade java side

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2020-01-30 10:07:24 +03:00
shugeo 99a54829c2 Shugeo resize area fix2 (#181)
* Added test for issue with resize_area op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a pair of tests for resize_are op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored resize_area kernel to avoid shared memory overflow.

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* Eliminated prints with tests.

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* ignore bad test

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* Fixed test with resize_area.

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* Fixed test for float constants.

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Co-authored-by: raver119 <raver119@gmail.com>
2020-01-24 20:55:25 +03:00
raver119 5d69069177
[WIP] Memory limits (#167)
* initial commit

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* one more initial commit

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* additional initial commit

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* subsequent initial commit

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* initial commit testing

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* initial commit per device

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* initial commit per group

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* initial commit for cuda

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* initial commit for cuda + few missed lines

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* initial commit for cuda + missed includes

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* initial commit for cuda + one more missed include

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* initial commit shouldn't count host mem as dev0 in cuda

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* initial commit that tracks HOST group limits for CUDA

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* initial commit with some Environment changes

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* initial commit with more Environment changes

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* initial commit with maxMasterThreads fix

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* initial commit with maxMasterThreads fix

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* initial commit without maxMasterThreads exception

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* initial commit without Nd4jULong in Environment

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* add sleep and more iterations for OOM cases

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* limits propagation from java side

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* - consume ErrorCode every time
- one test for memory limits

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* unordered_map

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* unordered_map

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* unordered_map

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* RSub op mapping fixed

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* typo fixed

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* one bad test fixed

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2020-01-24 10:11:09 +03:00
shugeo 2717b25931 Shugeo qr (#153)
* Added qr op implementation. Initial version.

* Fixed doc for qr op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Implementation of QR decomposition. CPU platform version.

* Added a pair of tests for qr op testing.

Signed-off-by: shugeo <sgazeos@gmail.com>

* QR implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Corrected norm using.

* Properly calculated intermediate results with QR decomposition.

* Another step to implement QR algorithm by householder.

* Cpu implementatio for QR decomposition. The first working edition.

* Corrected test to QR decomposition.

* Added tad multithreading with QR implementation.

* Finished cpu implementation for QR decomposition helpers.

* Refactored tests and improved multithreading.

* Refactored QR cpu implementation and update cuda implementation helpers.

* Cuda QR helper implementation. The first working edition.

* Eliminated waste prints.

* Restore multithreading with cuda implementation.

* Ops names corrected

* Refactored qr op helpers to optimize.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Eliminated waste manual ticking.

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* Refactored memory allocation to avoid waste memory usage.

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* Refactored matrixMinor method both for cuda and cpu platforms.

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* Refactored method of vmul to use raw buffers instead type conversion.

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* Refactored temporary array of matricies.

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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-01-22 13:59:36 +03:00
shugeo 815a2908af Shugeo solve triangular (#173)
* Added implementation of the triangular_solve op.

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* Fixed compilation issues.

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* Added verification of input data and helpers facilities for triangular_solve op.'

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* Added cpu implementation for triangular_solve helpers.

* Added tests and implementation for upper triangular equations.

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* Added a pair of cases to tests.

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* Added multithreading with cpu helpers for triangular_solve op.

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* Added cuda implementation of triangular_solve op helpers.

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* Finished cuda implementation of triangular_solve helpers and tests.

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* Fixed copyright marks.

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* Corrected grammar errors with doc and error messages.

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* Refactored matricies processing with triangular_solve cuda helper implementation.

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* Added triangular_solve wrapper

* Fixed mapping

* Added processing for adjoint with cpu helpers of triangular_solve op implementation.

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* Added implementation for adjoint routine with cuda platform.

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* Added multithreading with adjoint routine for cpu platform.

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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-22 10:48:03 +03:00
shugeo e50b285c2c Shugeo resize area (#162)
* Added implementation for resize_area op. Initial commit.

* Added implementation of resize_area op. Initial revision.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Corrected resizeArea functor call.

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* Implementation of resize_area. Cpu platform helpers.

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* Implementation for resize_area helpers. The first part revision.

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* Added a set of tests for resize_area op.

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* Cuda implementation for resize_area. Initial approach.

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* Adding multithreading for resize_area algorithm.

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* Cuda implementation of resize_area helpers. Shared memory approach.

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* Refactored resizeAreaKernel with cuda implementation.

* Eliminated compilation errors.

* ResizeArea helpers for cuda platform. The first working revision.

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* Added test for batched resize_area op testing.

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* Implementation of resize_are for cuda platform and tests.

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* Fixed multithreading with resize_area op helper.

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* Corrected copyright marks with sources.

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* Corrected copyright mark for resize_area op implementation.

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* Corrected copyright mark for parity ops header.

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* Corrected typo in strings and so on with image resize ops.

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* Refactored resize_area helpers and multithreading.

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* Added ResizeArea wrapper

* Added test with align_corners and fixed shape processing with only int args given for output size.

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* Added test

* TF mapping for ResizeArea

* Fixed implementation issues with resize_area op for both platforms.

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* Refactored image resizer struct to use flexible types for ints and floats.

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* Improved multithreading with resizeAreaKernel launch.

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* Use asynchronical memory copying with cuda platform image resize allocations.

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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-22 10:46:33 +03:00
raver119 7783012f39
cuDNN integration (#150)
* initial commit

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* one file

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* few more includes

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* m?

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* const

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* cudnn linkage in tests

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* culibos

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* static reminder

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* platform engine tag

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* HAVE_CUDNN moved to config.h.in

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* include

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* include

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* skip cudnn handle creation if there's not cudnn

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* meh

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* target device in context

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* platform engines

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* platform engines

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* allow multiple -h args

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* allow multiple -h args

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* move mkldnn out of CPU block

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* link to mkldnn on cuda

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* less prints

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* minor tweaks

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* next step

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* conv2d NCHW draft

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* conv2d biasAdd

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* test for MKL/CUDNN combined use

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* - provide additional code for conv2d ff based on cudnn api, not tested yet

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* - further work on conv2d helper based on using cudnn api

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* - fixing several cuda bugs which appeared after cudnn lib had been started to use

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* - implementation of conv2d backprop op based on cudnn api

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* - implementaion of conv3d and conv3d_bp ops based on cudnn api

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* - bugs fixing in conv3d/conv3d_bp ops (cudnn in use)

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* - implementation of depthwiseConv2d (ff/bp) op based on cudnn api

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* - implementation of batchnorm ff op based on cudnn api

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* - disable cudnn batchnorm temporary

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* - add minor change in cmake

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* engine for depthwise mkldnn

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* couple of includes

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* - provide permutation to cudnn batchnorm ff when format is NHWC

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* lgamma fix

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* - eliminate memory leak in two tests

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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-20 21:32:46 +03:00
shugeo 6943a5f57a Shugeo lgamma (#170)
* lgamma op. Initial version.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored lgamma op and test.

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* Lgamma wrapper

* Added TF mapping

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-20 12:29:36 +03:00
Yurii Shyrma bbf88b53dd - fix wrong calculation of elements offsets in batchnorm op when input arrays have unusual (#169)
Signed-off-by: Yurii <iuriish@yahoo.com>
2020-01-11 00:14:20 +03:00
Oleh 2404be5fe0 Oleh multinomial (#163)
* libnd4j: Multinomial op #8570 first raw step of multinomial random data generator implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op #8570 next step of multinomial random categories generator implementation on both cpu and cuda, need corrections and code clean up before review and testing

* libnd4j: Multinomial op #8570 code clean up and fixed issues data selecting, moved from coords to tads

* libnd4j: Multinomial op #8570 fixed cuda build add reference for math materials that was used for implementation

* libnd4j: Multinomial op #8570 fixed several bugs, added several tests and improved cuda version. current implementation works, need testing of reproduction with the same seed

* libnd4j: Multinomial op #8570 fixes and optimization after discussion in both cuda and cpu

* libnd4j: Multinomial op #8570 add corrections after review, removed tads, replace 2D parallel loop by 3D

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op fixed declaration and add tests need discussion

* libnd4j: Multinomial op fix in test

* libnd4j: Multinomial op corrected behavior to get reproducible results, fixed issue in uniform value getting, tests added, need cuda review and cuda testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op fixed indexing on uniform calculation

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* libnd4j: Multinomial op some corrections in max min declaration

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* libnd4j: Multinomial op fixed index calculation, added rewind, corrected input declaration, added stats tests, both cuda and cpu. cuda need testing

* libnd4j: Multinomial op fixed bugs on cuda nad cpu. need review

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op corrected tests to handle different orders

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* libnd4j: Multinomial op some improvements after code review

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op more corrections after review

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op fixed seed usage, update tests, fixed cuda based on comments, fixed bug of rewind, removed one behavior, minor corrections.

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op minor corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op rise the bound of fluctuation for random cases

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j: Multinomial op modified operation inputs and update implementation and tests on both cpu and cuda

* libnd4j: Multinomial op corrected data types according ops.proto

Co-authored-by: raver119 <raver119@gmail.com>
2020-01-06 22:35:05 +03:00
raver119 d9ef5e2467
Minor fixes (#165)
* ios-arm excluded

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* histogram single threaded

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2020-01-04 15:27:16 +03:00
raver119 29e8e09db6
String changes (#3)
* initial commit

* additional data types & tensor type

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* next step

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* missing include

* sparse_to_dense

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* few more tests files

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* draft

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* numeric sparse_to_dense

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* comment

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* string sparse_to_dense version

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* CUDA DataBuffer expand

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* few tweaks for CUDA build

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* shape fn for string_split

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* one more comment

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* string_split indices

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* next step

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* test passes

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* few rearrangements for databuffer implementations

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* DataBuffer: move inline methods to common implementations

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* add native DataBuffer to Nd4j presets

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* DataBuffer creation

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* use DataBuffer for allocation

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* cpu databuffer as deallocatable

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* DataBuffer setters for bufers

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* couple of wrappers

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* DataBuffers being passed around

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* Bunch of ByteBuffer-related signatures gone

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* - few more Nd4j signatures removed
- minor fix for bfloat16

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* nullptr pointer is still a pointer, but 0 as address :)

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* one special test

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* empty string array init

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* one more test in cpp

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* memcpy instead of databuffer swap

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* special InteropDataBuffer for front-end languages

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* few tweaks for java

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* pointer/indexer actualization

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* CustomOp returns list for inputArumgents and outputArguments instead of array

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* redundant call

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* print_variable op

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* - view handling (but wrong one)
- print_variable java wrapper

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* one more test

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* - empty arrays handling

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* - deserialization works now

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* minor fix

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* meh

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* one more fix

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* initial cuda commit

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* print_variable message validation

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* CUDA views

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* CUDA special buffer size

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* minor update to match master changes

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* - consider arrays always actual on device for CUDA
- additional PrintVariable constructor
- CudaUtf8Buffer now allocates host buffer by default

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* meh

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* - print_variable now allows print from device

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* InteropDataBuffer data type fix

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* ...

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* disable some debug messages

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* master pulled in

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* couple of new methods for DataBuffer interop

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* java side

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* offsetted constructor

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* new CUDA deallocator

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* CUDA backend torn apart

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* CUDA backend torn apart 2

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* CUDA backend torn apart 3

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* - few new tests
- few new methods for DataBuffer management

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* few more tests + few more tweaks

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* two failing tests

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* one more test

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* two failing tests pass

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* now we pass DataBuffer to legacy ops too

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* Native DataBuffer for legacy ops, Java side

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* CPU java side update

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* CUDA java side update

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* no more prepare/register action on java side

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* NDArray::prepare/register use now accepts vectors

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* InteropDataBuffer now has few more convenience methods

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* java bindings update

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* tick device in NativeOps

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* Corrected usage of OpaqueBuffer for tests.

* Corrected usage of OpaqueBuffer for java tests.

* NativeOpsTests fixes.

* print_variable now returns scalar

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* one more test

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* compat_string_split fix for CUDA

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* - CUDA execScalar fix
- CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer

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* legacy ops DataBuffer migration prototype

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* ignore device shapeinfo coming from java

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* minor fix

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* minor transformAny fix

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* minor tweak for lazy host allocation

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* - DataBuffer::memcpy method
- bitcast now uses memcpy

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* - IndexReduce CUDA dimension buffer fix

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* views for CPU and CUDA

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* less spam

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* optional memory init

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* async memset

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* - SummaryStats CUDA fix
- DataBuffer.sameUnderlyingData() impl
- execBroadcast fix

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* - reduce3All fix
switch to CUDA 10 temporarily

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* CUDA version

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* proper memory deallocator registration

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* HOST_ONLY workspace allocation

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* temp commit

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* few conflicts resolved

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* few minor fixes

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* one more minor fix

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* NDArray permute should operate on JVM primitives

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* - create InteropDataBuffer for shapes as well
- update pointers after view creation in Java

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* - addressPointer temporary moved to C++

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* CUDA: don't account offset twice

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* CUDA: DataBuffer pointer constructor updated

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* CUDA NDArray.unsafeDuplication() simplified

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* CUDA minor workspace-related fixes

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* CPU DataBuffer.reallocate()

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* print_affinity op

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* print_affinity java side

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* CUDA more tweaks for data locality

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* - compat_string_split tweak
- CudaUtf8Buffer update

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* INDArray.close() mechanic restored

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* one more test fixed

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* - CUDA DataBuffer.reallocate() updated
- cudaMemcpy (synchronous) restored

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* one last fix

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* bad import removed

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* another small fix

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* one special test

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* fix bad databuffer size

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* release primaryBuffer on replace

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* higher timeout

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* disable timeouts

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* dbCreateView now validates offset and length of a view

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* additional validation for dbExpand

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* restore timeout back again

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* smaller distribution for rng test to prevent timeouts

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* CUDA DataBuffer::memcpy now copies to device all the time

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* OpaqueDataBuffer now contains all required methods for interop

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* some javadoc

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* GC on failed allocations

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* minoe memcpu tweak

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* one more bitcast test

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* - NDArray::deviceId() propagation
- special multi-threaded test for data locality checks

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* DataBuffer additional syncStream

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* DataBuffer additional syncStream

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* one ignored test

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* skip host alloc for empty arrays

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* ByteBuffer support is back

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* DataBuffer::memcpy minor fix

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* few minor prelu/bp tweaks

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* nullify-related fixes

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* PReLU fixes (#157)

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* Build fixed

* Fix tests

* one more ByteBuffer signature restored

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* nd4j-jdbc-hsql profiles fix

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* nd4j-jdbc-hsql profiles fix

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* PReLU weight init fix

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* Small PReLU fix

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* - INDArray.migrate() reactivated
- DataBuffer::setDeviceId(...) added
- InteropDataBuffer Z syncToDevice added for views

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* missed file

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* Small tweak

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* cuda 10.2

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* minor fix

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Co-authored-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 13:27:50 +03:00
Alex Black 29104083cc
Various fixes (#143)
* #8568 ArrayUtil optimization

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* #6171 Keras ReLU and ELU support

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* Keras softmax layer import

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* #8549 Webjars dependency management

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* Fix for TF import names ':0' suffix issue / NPE

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* BiasAdd: fix default data format for TF import

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* Update zoo test ignores

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* #8509 SameDiff Listener API - provide frame + iteration

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* #8520 ND4J Environment

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* Deconv3d

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* Deconv3d fixes + gradient check

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* Conv3d fixes + deconv3d DType test

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* Fix issue with deconv3d gradinet check weight init

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* #8579 Fix BaseCudaDataBuffer constructor fix for UINT16

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* DataType.isNumerical() returns false for BOOL type

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* #8504 Reduce Spark log spam for tests

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* Clean up DL4J gradient check test spam

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* More Gradient check spam reduction

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* SameDiff test spam reduction

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* Fixes for FlatBuffers mapping

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* SameDiff log spam cleanup

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* Tests should extend BaseNd4jTest

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* Remove debug line in c++ op

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* ND4J test spam cleanup

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* DL4J test spam reduction

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* More Dl4J and datavec test spam cleanup

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* Fix for bad conv3d test

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* Additional test

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* Embedding layers: don't inherit global default activation function

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* Trigger CI

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* Consolidate all BaseDL4JTest classes to single class used everywhere; make timeout configurable per class

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* Test fixes and timeout increases

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* Timeouts and PReLU fixes

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* Restore libnd4j build threads arg for CUDA build

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* Increase timeouts on a few tests to avoid spurious failures on some CI machines

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* More timeout fixes

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* More test timeout fixes

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* Tweak timeout for one more test

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* Final tweaks

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* One more ignore

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2020-01-04 13:45:07 +11:00
shugeo fbf7c9d38b Fixed lu for cuda platform and tests. (#158)
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2020-01-02 23:25:41 +03:00