Commit Graph

345 Commits (ed30cc0df49764d26f7ec3b1cb26af59d3d24395)

Author SHA1 Message Date
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
Andrii T 5fbb04531d
At cpp ops (#378)
* crelu op added

* crelu op added

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* crelu(bp)+transformOpValidation op

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* added ClipByAvgNorm and DepthwiseConv2DBp

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* ClipByAvgNorm passes forward check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* EmbeddingLookup draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* DepthwiseConv2DB gradient check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* EmbeddingLookup and DepthwiseConv2dBp finished + tests added

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* ImageResize draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* DepthwiseConv2DB gradient check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* ImageResize passed tests except helper::resizeFunctor:Non implemented

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* replaced ImageResizeMethods enum by codegen

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* polished checkpoint (OPValidationSuite passed and mvn install build succesfull after codegen)

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* manually merged LSTMLayerTestCases from master
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* MaximumBp added and tested

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* MergeAddBp draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* MergeMaxBp and MergeAvgBP added and tests passed

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fix

* draft LSTMLayerBp (big relative layer in gradient check)

* LSTMLayerBp check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayerBp check v2

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* requested changes (test passes)

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayer testcases passed gradientcheck

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* small LSTMLayer testcase1 improvement (cLast, yLast)

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Warnings issue solved

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Fixes for MKLDNN LSTM layer helper

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

* stable version

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-17 15:16:14 +10:00
Oleh 3d15706ffa
Lin_space operation improve (#373)
* libnd4j update linspace op

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

* libnd4j #8513 update lin_space op, tests added

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

* - minor linspace tweaks (num_elements now iArg)
- java linspace updates
- couple of additional tests for linspace

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

* roll back timeout change

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-04-16 14:53:56 +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
raver119 3e2dbc65dd
MatMul for gemm/gemv calls (#365)
* libnd4j added optional alpha and beta support to matmul

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

* libnd4j typos fixes

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

* libnd4j add optional alpha and beta to matmul_bp

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

* libnd4j one more typo fix

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

* libnd4j added optional alpha and beta to mkl implementation

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

* MatMul alpha/beta on java side

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

* alpha/beta fix in libnd4j

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

* alpha/beta fix in matmul_bp

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

* restored view validation

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

* gemv/gemm now use MatMul op

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

* few tests fixed

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

* additional INDArray.mmul signature

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

* make C order default for INDArray.mmul, unless both A/B have F order

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

* Nd4j.gemm validation fix

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

* disable mkldnn matmul for xxf with beta != 0 case

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

* SimpleRnn workspace fix + timeouts

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

* two more tests + minor fix in matmul platform check

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

* Flaky test fixes

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

* propagate testresources profile

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

* Resources fix + flaky test fix

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

Co-authored-by: Oleg <oleg.semeniv@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-10 17:57:02 +03:00
Andrii T d86dd5b131
DL4J and SameDiff integration tests + LSTMLayer java op class (#353)
* init in this branch

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Lenetet Mnist workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* small fix for calculations

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* for Alex to check placeholder null pointer issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* CNN3D workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* state for launching on dxg to regenterate dl4j examples

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* SD RNN test case workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* small fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* checkpoint at lstmBlock: Input array 1 (x) rank must be got input with rank 2 issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Fix LSTMLayer inputs order

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* lstm mismatch with c++ op issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayer config draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayer config draft v2

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* have doubt I had to do this

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* NDRNN generated by codegen

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayerTestCases draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fixes again

* added LSTMLayer testcases to nd4j-tests + setted Preconditions in LSTMLayer constructors

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* added lost SDCNNtestcases

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* overrided getNumOutputs from DynamicCustomOp in LSTMLayer and reorganized LSTMLayerOutputs according to cpp op

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished with LSTMLayerOutputs

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Fix MKLDNN platform checks (i.e., when MKLDNN can be used vs. not)

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

* Fix LSTMLayerWeights input order

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

* More fixes

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

* minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* fixed LSTMLayer testcases

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished SameDiffRNNTestCase

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished all testcases + minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Multiple generation-related fixes

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

* Fix multiple issues

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

* More fixes

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

* LSTM fixes

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

* Regenerate ND4J namespaces and fix multiple issues

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

* changed SameDiffRNNTestCase

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Small fix

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

* added  Nd4j.getRandom().setSeed(12345) where needed

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* #8828 Fix ND4J profiler NaN/Inf checks when using OpContext

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

* #8828 Fix ND4J profiler NaN/Inf checks when using OpContext

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

* Tweak to weight init for SameDiff CNN test case

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

* Tweaks for test cases

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

* Ignore failing tests until fixed

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

* Fix

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-09 00:20:48 +10:00
raver119 04b2b4f9b6
Few fixes (#361)
* INDArray.close() fix for CPU

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

* - BroadcastableBoolOp introduced
- ConfusionMatrix now supports explicit DataType argument

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

* confusion_matrix: dtype is still optional

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

* disable bert tests in debug builds

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

* Affinity fix

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

* minor workspace tweak to allow close() on scoped out borrowed workspace

Signed-off-by: raver119 <raver119@gmail.com>
2020-04-06 21:01:59 +03:00
Yurii Shyrma 48102c61d0
- correct reshape op for empty shapes (#354)
* - correct reshape op for empty shape in case of -1 at the end

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

* Fix test + new reshape op constructor

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-01 15:13:34 +11:00
Oleh 1d004b542a
xw_plus_b mkldnn implementation (#247)
* libnd4j first step of mkldnn for xw_plus_b and test of aurora crash in imageHelper

* libnd4j sync folders with master

* libnd4j merge master, raw implementation of xw_plus_b on mkldnn, clean up, need testing and adding checks for corresponded input shapes

* libnd4j corrections and checks added to xw_plus_b mkl

* libnd4j corrected dataType description based on mkl operation description, need more investigation

* libnd4j fixe xw_blus_b mkl implementation, need testing

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

* libnd4j two unit tests added

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

* libnd4j fixed check input dimensions bug

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

* libndj4 one more test added to cover different order handling

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

* libnd4j added optional int arg support to define weights format, if arg == 1, mkldnn (do not need transpose in mkldnn implementation), else mmul weights format, corrected check points, added unit test

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

* libnd4j merge master

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

* libnd4j some improvements to avoid NDArray transpose in xw_plus_b operation

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

* libnd4j fixed issues connected with weights rank, also added support of one case based on tf (for mkldnn, cpu, cuda), test case added

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

* libnd4j added proper handling of empty inputs (all implementations)

* libnd4j fixed compilation error

* libnd4j several more corrections after conflict solve and fixed typos

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

* libnd4j removed unsupported data types

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

* libnd4j merge master and fixed issues

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

* libnd4j added propagation implementation for xw_plus_b, fixed issue connected with mkl weights data format, avoided data copy in transpose mode, test cases added, manually tested with gradCheck

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

* libnd4j one minor fix of double operation declaration

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

* libnd4j code clean up

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

* libnd4j minor tests fixes

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

* libnd4j fixed build problem, integrate helpers changes

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-31 13:03:10 +03:00
Yurii Shyrma 29e61579c1
Shyrma reshape empty (#338)
* - start working on reshape op which operates with empty shapes

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

* - correct reshaping for empty arrays

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

* - remove unnecessary check in Loopkind

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-03-31 07:41:16 +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
raver119 226f0672bc size op fixed
Signed-off-by: raver119 <raver119@gmail.com>
2020-03-23 17:02:03 +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
raver119 1f3e4c18e1
some structure for ops (#337)
Signed-off-by: raver119 <raver119@gmail.com>
2020-03-23 07:28:54 +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

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* libnd4j nadamUpdater added

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* libnd4j one more correction for nadam updater

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* libnd4j several fixes for nadam updater and added amsGradUpdater

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* libnd4j several typos fixed in amsGradUpdater

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* libnd4j some corrections and added f order support rmsProp updater

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

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

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* libnd4j added input shape checks

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* libnd4j some corrections for different cases handling

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* libnd4j some code clean up and optimize per request

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* libnd4j updaters refactoring after review

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* 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

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* libnd4j next step to split operations implementation into separate files

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* libnd4j merge master and minor corrections

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* libnd4j revert some changes of split implementation

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* libnd4j forgot to add header file

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* public default constructors

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* ImportClassMapping updated

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2020-03-23 07:28:31 +03:00
Alex Black 5a34ccf3d4
Remove printf in ones_as c++ op (#336)
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-20 23:50:17 +11:00
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

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* - forgot to recover kernels sizes in deconv2d_bp test

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

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* - provide new weights formats in mkl dnn conv ops

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* - provide new weights formats in cuda conv helpers

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* - working with new weights format in cudnn conv api

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

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

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

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

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

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* - resolve conflicts 2

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Co-authored-by: raver119 <raver119@gmail.com>
2020-03-20 12:11:27 +03:00
shugeo 5dae4069cf
Shugeo random expo fix2 (#295)
* Refactored exponential distribution implementation.

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

* Refactored exponential distribution and tests.

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* Refactored test to new result sets.

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2020-03-20 11:33:20 +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

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* 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)
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2020-03-16 18:17:42 +03:00
raver119 4cf2afad2b
benchmarks fixes (#321)
* bunch of small fixes

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* validation for legacy random op

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* get rid of test

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2020-03-16 10:31:06 +03:00
Oleh e7a995e959
Tanh backpropagation mkldnn implementation (#308)
* libnd4j first step of tanh_bp operation implementation on mkldnn

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

* libnd4j optimize several places and added test case for tanh_bp

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* libnd4j minor corrections and renaming, added one more test case

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* libnd4j missed mkldnn data format definition

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-13 19:01:00 +03:00
Yurii Shyrma e42b4e96c3
correct output empty shapes deducing in split op (#311)
* - correct output empty shapes deducing in split op

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

* java test fixed

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* - split broadcast::exec function on individual functions corresponding to switch arg

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* - split broadcast::exec _int and _bool function on individual functions corresponding to switch arg

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Co-authored-by: raver119 <raver119@gmail.com>
2020-03-12 18:25:54 +03:00
Oleh 41bde8f885
Softmax BP mkldnn implementation (#301)
* libnd4j mkldnn softmax_bp operation implementation and integration, 2 tests added, need some refactoring and code clean up and more testing with different input shapes

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

* libnd4j softmax_bp update, code refactoring, etc

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

* libnd4j merge master, fixed typos, minor tweaks, code clean up

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

* libnd4j  integrate mkldnnUtils helpers in other mkldnn operations

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-12 18:25:29 +03:00
Yurii Shyrma 58550b7c98
[WIP] Shyrma coords (#305)
* - provide faster index2coords function for cpu

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* - new faster index2coords function is introduced into cpu code

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* - replace long long coordinates with int coordinates

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* - add missed reload of coords2index function

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* - reststart  jenkins

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* - 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

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

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

* libnd4j more tests fixes

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* - 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
Oleh ead5162c97
Tanh mkldnn implementation (#296)
* libnd4j first step of softmax mkldnn implementation

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

* libnd4j raw implementation of mkldnn softmax

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

* libnd4j merge master and added softmax to MklDnnTests

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

* libnd4j some corrections for softmax mkldnn

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

* libnd4j merge branch, fixed problem with negative axis, fixed dnnl::memory::format_tag selection, test cases added

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

* libnd4j minor corrections to avoid risk connected with negative axis usage

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

* libnd4j fixed windows builds, added switcher to use mkldnn sofmax version only for 3D, 4D, 5D, 6D arrays

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

* libnd4j fixed dataType selection per request

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* libnd4j fix for mac and windows builds

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* libnd4j builds fix

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* libnd4j first spet of elementwize tanh implementation on mkldnn

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* libnd4j fixed typo in error message for softmax MKLDNN, test case added, implementation of tanh on MKLDNN, need supported DataType testing

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

* libnd4j several fixes for tanh and temporary performance test added

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

* libnd4j fixed mkldnn platform loader for tanh

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* libnd4j MklDnn tanh removed unsupported data types, removed performance test case, added more appropriate equivalence test case, code clean up

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* libnd4j fixed problem with empty input case for MklDnn tanh and softmax

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2020-03-06 17:11:22 +03:00
raver119 784a2d13f8
separate omp impl for softmax (#289)
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2020-03-05 11:14:22 +03:00
raver119 3bb22a6ff8
strided_slice without view (#288)
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2020-03-05 09:56:52 +03:00
raver119 ca96a13ed0 softmax as standalone compilation unit
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2020-03-05 08:45:10 +03:00
Oleh 4d81af9fe9
Softmax operation implementation for mkldnn (#286)
* libnd4j first step of softmax mkldnn implementation

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

* libnd4j raw implementation of mkldnn softmax

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* libnd4j merge master and added softmax to MklDnnTests

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

* libnd4j some corrections for softmax mkldnn

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

* libnd4j merge branch, fixed problem with negative axis, fixed dnnl::memory::format_tag selection, test cases added

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

* libnd4j minor corrections to avoid risk connected with negative axis usage

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

* libnd4j fixed windows builds, added switcher to use mkldnn sofmax version only for 3D, 4D, 5D, 6D arrays

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

* libnd4j fixed dataType selection per request

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

* libnd4j fix for mac and windows builds

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

* libnd4j builds fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-04 19:36:42 +03:00
raver119 f990b2486d
simplified addBias2D for CUDA (#285)
Signed-off-by: raver119 <raver119@gmail.com>
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

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

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* - rearrange stack tests

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* - 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

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

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* -  further removing of ShapeUtils::shapeAsString

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

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* - correct test_empty_scatter_2 in EmptyTests.cpp

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* - profiling of slice op

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

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

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

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

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* - further conflicts resolving

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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

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* 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

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* libnd4j revert changes for lup.cpp

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* 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
raver119 5332ace32b
better inplace exec with FastPath (#280)
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2020-02-28 12:06:30 +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.

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* Rectification for lstsq op implementation.

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* Corrected test to avoid numerical inconsistensy.

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* Added prints for check computing.

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* Corrected tests to use evalueate facility instead.

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* CPU implementation of MatrixSolveLs op and tests.

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* Added cuda implementation for helpers with lstsq op.

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* Refactored tests for lstsq op.

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* Added processing for empty inputs.

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* Merged tests.

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* Refactored lstsq op for fast case.

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* Fixed test.

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* Refactored lstsq op.

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* 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.

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

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

* Tests on

* Refactored test for lstsq op.

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

* 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.

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

* 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
raver119 358c650b62 one micro fix
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-27 19:28:26 +03:00
raver119 31e3a2f7a5
transparent conversion to FastPath execution within Graph (#278)
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-27 16:10:38 +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
raver119 5c806d2fb5
reshape tweak (#275)
* - expand dims tweak
- reshape memcpy

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* validation fix

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2020-02-26 14:05:32 +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

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

* - minor correction 2

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

* libnd4j moved split implementation from specials to split.cpp

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

* 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
raver119 cf67c7165a nano fix
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-25 15:20:51 +03:00
raver119 f6442b6724
few minor tweaks (#272)
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-25 11:13:23 +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

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

* - minor correction 2

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

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.

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

* Eliminated crash with TadDescriptor hash.

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

* Refactored Stash hash.

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

* Refactored hashes.

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

* Refactored TadDescriptor hash and top_k mapping.

* Refactored hashes for ShapeDescriptor and TadDescriptor classes.

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

* Refactored hash for ConstantDescriptor and ShapeDescriptor classes.

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

* Fixed map using with cuda platform.

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

* - 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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Co-authored-by: raver119 <raver119@gmail.com>
2020-02-24 07:51:01 +03:00
raver119 e78be14cc1
arm fix (#260)
* range check for scalar_int

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* no simd

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* no ops

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* cyclic shift?

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* left split

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* left split

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* rot ops unrolled templates

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* no rotl/rotr for uint64

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* no rotl/rotr for uint64 2

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* no rotl/rotr for uint64 3

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* ARM_BUILD declared

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2020-02-21 14:31:00 +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

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

* 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

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

* - 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

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-19 09:35:52 +03:00
Yurii Shyrma 22c7aa9acf
Shyrma mkl matmul (#250)
* - provide matmul code based on mkl api

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

* - correct typo in mkl matmul op

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

* - take into account empty arrays in mkl matmul op

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

* - fix bug in mkl matmul and group all matmul tests in one file

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-18 08:58:01 +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
Yurii Shyrma 011c272fde
Shyrma transpose (#244)
* - provide contiguous strides for ouput in transpose op

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

* - provide contiguous strides for output in permute op

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

* - take into account empty shapes properly in transpose/permute op

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-17 08:04:28 +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
raver119 3de3cd8277
R119 tests (#238)
* one small test

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* one small test

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* bert test

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* Graph FlowPath fix

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* - GraphProfiler tweaks
- NodeProfile now includes shapes

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* RELU_layer inplace tweak

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* meh

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* identity tweaks

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* bert result validation

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* - bunch of Shape ops have inplace exec forbidden now
- Legacy ops have inplace exec disabled by default now

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* ffast-math enabled

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* ffast-math enabled

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* allow some legacy ops to be inplace

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* disable -fast_math

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* disable expensive test for cuda

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2020-02-13 20:59:35 +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

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

* - correct bug in transform cuda native ops

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

* - correct bug in NDArray::assign

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

* - remove old shape::reshape stuff

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

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

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

* - 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
raver119 237c137166 few more smaller compilation units (#226)
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-10 10:57:18 +03:00
raver119 8a0d5e3b97
Compilation units (#224)
* - TrueBroadcastHelper split into multiple compilation units
- legacy gemm.cpp disabled

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* - IndexReduce int32/int64 split into multiple compilation units

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* - Reduce3 ops split into multiple compilation units

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2020-02-09 19:48:32 +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
Yurii Shyrma 948646b32d
Shyrma mkl test (#211)
* - provide nhwc format in mkl conv ops

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

* - corrections in mkl conv3d

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* - corrections in mkl batchnorm

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* - corrections in mkl maxpooling2d

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* - add format format_tag::any to outputs in mkl conv ops

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

* - complete corrections in mkl conv ops

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* - add test for comparison of execution speeds of mkl conv2d op with different weights format

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* - take into account order f in mkl conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-06 21:12:54 +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

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* Added tests for triangular_solve op.

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2020-02-06 21:06:50 +03:00
raver119 5d28e6143d
OpContext handling (#214)
* nano tweaks

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* OpContext tweaks

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* OpContext deallocators

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* get rid of few mkldnn safety checks

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* databuffer setSpecial fix

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2020-02-05 07:27:24 +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.

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

* Linear equations systems solve. The next stage commit.

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

* Added test for linear equations systems solve operation.

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

* 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.

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* Refactored cpu helpers for solve op.

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* 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.

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

* Eliminated waste comments.

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

* 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 9bb5798cac
Null arrays fix (#208)
* don't skip null arrays

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* one test tweak

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2020-02-02 23:14:00 +03:00
Oleh d52e67209e
Oleh convert (#200)
* StringUtils for utf convertor raw implementation of all possible combinations, need to be add counter of bytes per symbol for any type and add api to call convertors and store data

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

* StringUtils for utf convertor more corrections to support convertors

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

* StringUtils for utf convertor some corrections and bug fixes, need review to discuss how to add multi-threading

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

* StringUtils for utf convertor #8613 some corrections to move to multi-threading, add one test need discussion data inputs/outputs array presentation, need discussion the way of multi-threading

* StringUtils for utf convertor #8613 tests added some corrections to optimize build

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

* StringUtils for utf convertor #8613 some corrections and code clean up

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

* StringUtils for utf convertor #8613 code clean up and optimize usage, need update ndarray factory before replace std usage

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

* StringUtils for utf convertor #8613 some staff to integrate converters into NDArrayFactory, update tests and add some functionality

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

* StringUtils for utf convertor #8613 minor corrections and bug fix before discussion

* StringUtils for utf convertor #8613 some fixes and tets

* StringUtils for utf convertor #8613 some more staff to support different unicode

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

* StringUtils for utf convertor #8613 fix linking bug

* StringUtils for utf convertor #8613 corrected several tests as defaults for string ndarray changed

* StringUtils for utf convertor #8613 replace some incorrect implementation, revert some test changes, need sync before testing

* StringUtils for utf convertor #8613 fixed several thing that were badly implemented yesterday, need optimization, testing (before testing have to be add support of u32 and u16 buffer visualization)

* StringUtils for utf convertor #8613 fixed to support u16 and u32, and convertor in ndarray, fix buffer print, etc

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* StringUtils for utf convertor #8613 merge master and sync with server

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* StringUtils for utf convertor #8613 some correction for string cast, need print check only asci support

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* StringUtils for utf convertor #8613 merge master, remove copies and add cast, need test, refactoring according review and clean up

* StringUtils for utf convertor #8613 fixed cast and copy issues

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* StringUtils for utf convertor #8613 fixed cuda and update tests

* StringUtils for utf convertor #8613 integration into NdArray, fix several tests for build pass, refactoring, etc

* - avoid ambiguity of NDArray ctrs overloading in some tests

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* StringUtils for utf convertor #8613 NDArray string constructors added, updated NDArrayFactory, refactoring unicode and tests, etc

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* StringUtils for utf convertor #8613 fixed cuda build and test, refactoring and void* added to some functions

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* StringUtils for utf convertor #8613  void* integration, removed copy operation, refactoring, added tests for NDArray string constructors, etc

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* StringUtils for utf convertor #8613 several more fixes, improvements and updates

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* StringUtils for utf convertor #8613 master merge, code clean up and optimization before review

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* StringUtils for utf convertor #8613 minor fixes string element size define

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* StringUtils for utf convertor #8613 revert last changes as mistake

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* StringUtils for utf convertor #8613 fixed NDArray constructor build problem, remove order from string factory, fixed order use for factory via project, added catch of incorrect sync in cast of arrays to data types, fixed e method for strings, etc

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* StringUtils for utf convertor #8613 added javacpp hack, added multi-threading, minor corrections in license agreement

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* StringUtils for utf convertor #8613 windows builds fix, as "sting" is not treated as utf8

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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-31 16:30:49 +03:00
raver119 1ab86d1306
Range op data type (#204)
* - range op now accepts dargs
- dargs now can be in signature

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* range dtype java side

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* linspace fix

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* lin_space fix for scalar outputs

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2020-01-31 10:45:40 +03:00
raver119 5d98cfcf47
Configurable DataType for ops (#201)
* initial commit

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* - one more test for OneHot with dtype
- one more signature in Nd4j

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* ones_as/zeros_as now accept dtype

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* one more test

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* - more updates for configurable data types
- ones_as/zeros_as java side + tests

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* few c++ tests fixed

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* few more changes around DArgs

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2020-01-30 18:46:12 +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
Yurii Shyrma 7a7ee4b021 Shyrma cudnn (#192)
* - implementation of cudnn batchnorm_bp op

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* - testing and fixing bugs in batchnorm_bp based on cudnn api

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* - move pooling mkl code and delete some unnecessary files

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* - implementation and testing cudnn pooling2d ops (avg/max, ff/bp)

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* - implementation and testing cudnn pooling 3d (ff/bp) ops

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* - provide ff step in case of cudnn maxpool3d_bp op

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* - remove half type from set of supported types in mkl dpethwise conv op

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* - bring back cudaStreamSynchronize in batchnorm and pooling cudnn ops

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Co-authored-by: raver119 <raver119@gmail.com>
2020-01-28 18:23:07 +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.

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* 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.

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

* 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.

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

* Refactored temporary array of matricies.

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

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.

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

* Fixed compilation issues.

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

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

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

* 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.

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

* Added triangular_solve wrapper

* Fixed mapping

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

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

* Added implementation for adjoint routine with cuda platform.

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* Added multithreading with adjoint routine for cpu platform.

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

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.

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

* Implementation of resize_area. Cpu platform helpers.

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

* Implementation for resize_area helpers. The first part revision.

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

* Added a set of tests for resize_area op.

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

* Cuda implementation for resize_area. Initial approach.

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

* Adding multithreading for resize_area algorithm.

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

* Cuda implementation of resize_area helpers. Shared memory approach.

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

* Refactored resizeAreaKernel with cuda implementation.

* Eliminated compilation errors.

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

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

* Added test for batched resize_area op testing.

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

* Implementation of resize_are for cuda platform and tests.

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

* Fixed multithreading with resize_area op helper.

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

* Corrected copyright marks with sources.

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

* 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

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

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

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

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

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

* - implementation of conv2d backprop op based on cudnn api

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

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

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

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

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

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

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

* - implementation of batchnorm ff op based on cudnn api

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

* - disable cudnn batchnorm temporary

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

* - 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
Oleh 8fc0e63ce7 Oleh powderev (#171)
* Libnd4j: Add broadcastable elementwise power derivative #7461 first step of Pow_bp operation implementation

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* Libnd4j: Add broadcastable elementwise power derivative #7461 some corrections of calculation steps

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 some bug fixes, the PowDerevative op made broadcastable, add the raw tests for op, need refactoring to use broadcast ops

* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed several bugs add broadcast support and tests, need to fix scalar+array and array+scalar

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed bugs for scalar inputs, fixed multinomial tests, added tests

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 fised bugs for different shapes support, tests updated

* Libnd4j: Add broadcastable elementwise power derivative #7461 applied all possible variants via tiled arrays, add support of broadcast for Pow and PowDerivative ops, covered by tests, before review have to be replaced tiled implementation by applyTrueBroadcast

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 replaced tile by broadcast implementation, fixed issue with negative x input, corrected tests, need additional testing

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 added and corrected test cases, corrected implementation need review

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up

* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up, removed some tests, add tests with scalar

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 code improvement and clean up, split tests

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

* Libnd4j: Add broadcastable elementwise power derivative #7461 some code clean up

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

* Libnd4j: Add broadcastable elementwise power derivative replace __isnanf by internal realization

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

* pow_bp wrapper

* Fixed PowBp wrapper

* Tests added

* Test fixed

* Fix return type

* Disable powBp usage

* Pow backprop changed

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-20 12:59:12 +03:00
shugeo 6943a5f57a Shugeo lgamma (#170)
* lgamma op. Initial version.

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

* Refactored lgamma op and test.

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

* Lgamma wrapper

* Added TF mapping

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-20 12:29:36 +03:00
Yurii Shyrma cae5ef4180 Shyrma depthconv (#156)
* - implementation of depthwise_conv2d (both ff/bp) based on mkl dnn api

* - minor corrections in deconv3d

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

* - remove unnecessary time test

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

* - update mkl dnn version in cmake

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

* - take into account several notes given by pr reviewer

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

* - fix bug in depthwise conv2d op based on mkl

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-01-11 07:36:40 +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

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* 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

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* libnd4j: Multinomial op corrected tests to handle different orders

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* libnd4j: Multinomial op some improvements after code review

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* libnd4j: Multinomial op more corrections after review

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

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* libnd4j: Multinomial op minor corrections

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

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* 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
raver119 451d9d57fd
shape function override (#161)
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2020-01-04 09:06:44 +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
raver119 9b329d2601
[WIP] bias_add NHWC loop (#149)
* one more test

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* one more test

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* one more test

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* disable test

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2019-12-24 20:56:49 +03:00
raver119 fc760de348 RgbToYuv & YuvToRgb skip empty arrays
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2019-12-24 18:45:54 +03:00
Oleh 75123b0a4c [WIP] Oleh rgb yuv (#147)
* libnd4j: RgbToYuv and YuvToRgb, both implementations for both cpu and cuda. Need adding tests and review

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* libnd4j: RgbToYuv and YuvToRgb, replace coords method on Tad in both cpu and cuda, add tests, fixed bugs

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* libnd4j: RgbToYuv and YuvToRgb minor corrections

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* libnd4j: RgbToYuv and YuvToRgb corrections to use operations in-place
2019-12-24 18:30:54 +03:00
raver119 d1e5e79c10
[WIP] CUDA concat tweak (#148)
* one special test

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* one special test

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* local memory for concat

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* fixed grid size for concat

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* fixed grid size for concat

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* test commented out

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2019-12-24 17:01:03 +03:00
Abdelrauf 39d43ca170 RgbToYiq and YiqToRgb operations (#142)
* RgbToYiq and YiqToRgb

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

* CUDA impl for RgbToYiq and YiqToRgb

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

* remove print

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

* allow inplace for hsv,rgb,yiq ops

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

Co-authored-by: raver119 <raver119@gmail.com>
2019-12-24 15:20:35 +03:00
raver119 62f93ac211
negative handling for empty arrays (#146)
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-24 13:23:25 +03:00
raver119 495256c827
minor build fix (#139)
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-21 08:07:13 +03:00
Yurii Shyrma 5d9b2a16e5 Shyrma temp (#131)
* - specifying template instantiation for certain types in float16 and bloat16

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

* - polishing bfloat16 and float16 member functions template specialization

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

* - rewrite and overload array +-*/ scalar and scalar +-*/ arr in NDAray class

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

* - make corrections which have to do with and rvalue lvalue conversions

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

* - provide move semantic in NDArray operators array +-/* array

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

* float16/bfloat16 tweaks

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

* one more tweak

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

* - make float16 and bfloat16 to compile successfully on cuda

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

* - do not use resources of view-like arrays when move semantics is applied

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

* - get rid of pointers in signatures NDArray methods 1

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

* - correction of signature of NDArray::dup method

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

* - correction of signature of NDArray::reduceAlongDimension method

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

* - signature correction of NDArray::applyIndexReduce and applyTrueBroadcast methods

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

* - signature correction of NDArray::applyReduce3 and varianceAlongDimension methods

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

* - signature correction of NDArray::tensorsAlongDimension and diagonal methods

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

* - signature correction of NDArray::allTensorsAlongDimension

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

* - signature correction of NDArray::reduceAlongDimension 2

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

* - signature correction of NDArray::applyTransform 2

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

* - signature correction of NDArray::applyPairwiseTransform 2

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

* - signature correction of NDArray::applyBroadcast 2

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

* - signature correction of NDArray::applyTrueBroadcast 2

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

* - signature correction of NDArray::applyScalar and applyScalarArr

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

* - signature correction of NDArray::lambda methods

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

* - signature correction of NDArray::reduce3 methods 2

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

* - signature correction of following NDArray methods: add/sub/mul/div row/column and fillAsTriangular

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

* - signature correction of NDArray::tileToShape methods

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

* - signature correction of NDArray::isShapeSameStrict method

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

* minor corrections in tests

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

* - replace reduce op in batchnorm mkldnn

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

* - add explicit templates instantiations for operator+(NDArray&&. const scalar)

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

* - corrections of casts in float16/bfloat16

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

* - provide move semantics in following NDArray methods: transform, applyTrueBroadcast, transpose, reshape, permute

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

* - get rid of input array A duplicate in svd cuda op

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

* - avoid available bug in svd cuda API

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

* - add temporary global memory buffer in svd cuda when calcUV = false and  m != n

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

* - remove test with blfoat16 type for betainC

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

* - resolve conflicts after master has been merged in

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

* - changed type of affected input array in fused_batch_norm

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

* - add several explicit type castings

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

* - add ND4J_EXPORT to operators

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

* - add explicit template types in instantiations of template arithm operators of NDArray class

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

* - one more test fix

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

Co-authored-by: raver119 <raver119@gmail.com>
2019-12-20 22:35:39 +03:00
Oleh 211c0df76f Oleh rgb to gray scale (#138)
* libnd4j: RgbToGrayscale op #8536 - raw implementation in user branch, need checks for integration and adding other orders

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

* libnd4j: RgbToGrayscale op #8536 next step of merging images

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

* libnd4j: RgbToGrayscale op #8536, Revert merge of hsv_to_rgb and rgb_to_hsv as cause conflicts in naming need refactoring before merge, implementation of rbg_to_grs added

* libnd4j: RgbToGrayscale op #8536 imlementation and conflict resolve

* libnd4j: RgbToGrayscale op #8536 merged operations with images into image, renamed methods and files

* libnd4j: RgbToGrayscale op #8536 added test for rgbToGrayScale, need clarification and fixed tests case run

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

* libnd4j: RgbToGrayscale op #8536 bug fixing and need review

* libnd4j: RgbToGrayscale op #8536 some additional corrections after review

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

* - minor corrections in rgbToGrs test1

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

* libnd4j: RgbToGrayscale op #8536, corrected tests and rbf_to_grs, fixed problems, refactoring, need review

* libnd4j: RgbToGrayscale op #8536 fix for 'f' order in rgbToGrs

* libnd4j: RgbToGrayscale op #8536 fixed several bugs with dimC, test case refactoring and improve

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

* - add cuda kernel for rgbToGrs op

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

* - fix linkage errors

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

Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2019-12-20 20:59:29 +03:00
shugeo 67d8199165 [WIP] Shugeo lup (#126)
* Added infrastructure for implementation op lu for both cuda and cpu platforms.

* Added implementation of helpers with lu op.

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

* Refactored LU decomposition to use vector of permutations instead.

* Refactored helpers for lu op.

* Fixed crash with determinant op.

* Refactored cpu LU op heleper.

* Added implementation for lu op.

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

* Fixed issue with argmax on column.

* Added multithreaded behaviour for lu op helper.

* Fixed multithreaded cpu implementation helpers for lu op.

* Added cuda implementation for lu op helper.

* Finished lu helper implementation for cuda platform.

* Eliminated waste prints and comments.

* Fixed race condition and multithreading issues.

* Fixed memory leak with shape construction.

* Corrected test for lu op to avoid near zero elements on the main diagonal."

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

* Improved test for adjust_constast op.

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

* Fixed issues with cuda implementation of resize_bicubic helpers.

Signed-off-by: shugeo <sgazeos@gmail.com>
2019-12-20 17:56:28 +03:00