Commit Graph

60 Commits (18d4eaa68deb9819525b092fe6091e66ecfbbb6b)

Author SHA1 Message Date
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
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

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

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

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

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

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-12 18:25:54 +03:00
raver119 88f39fad67 pairwise compilation units updated
Signed-off-by: raver119 <raver119@gmail.com>
2020-03-12 12:50:09 +03:00
Yurii Shyrma ebab6b6410
Shyrma broadcast2 (#309)
* - profiling broadcast ops for aurora

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

* - correct loop limit type in shape::haveSameShapeAndStrides

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-03-11 17:58:53 +03:00
Yurii Shyrma 58550b7c98
[WIP] Shyrma coords (#305)
* - provide faster index2coords function for cpu

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

* - new faster index2coords function is introduced into cpu code

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

* - replace long long coordinates with int coordinates

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

* - add missed reload of coords2index function

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

* - reststart  jenkins

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

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

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-03-11 16:21:59 +03:00
raver119 50b7d82b96 more compilation units
Signed-off-by: raver119 <raver119@gmail.com>
2020-03-11 11:43:18 +03:00
Yurii Shyrma 6aaca58506
Shyrma broadcast (#302)
* - profiling TrueBroadcastHelper

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

* - further improving of TrueBroadcastHelper

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

* - further profiling of broadcast op

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

* - implementation of broadcastShapeHelper which inserts unities in shapes of arrays to be broadcasted

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

* - provide additional method in ConstantShapeHelper class for deducing broadcast shapes with unities

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

* - provide new NativeOps helpers for usual and true broadcast methods

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

* enable bert profiler

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

* - delete unnessesary tests

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-10 16:29:09 +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

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

* omp scalar reduce

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

* timing

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

* timing

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

* minor tweaks

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

* minor tweaks

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

* namespace change

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

* num_threads

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

* one minor fix

Signed-off-by: raver119 <raver119@gmail.com>
2020-03-09 08:21:44 +03:00
raver119 63fa3c2ef3
libnd4j polishing (#273)
* initial set of include changes

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

* one more tweak

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

* few more rearrangements

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

* few more rearrangements

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

* few more rearrangements

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

* cuda includes rearrangements

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

* java update

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

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

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

* java update

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

* LoopKind minor fix

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

* few more changes

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

* few more changes

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

* few more changes

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

* sanitizer is optional now

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

* dev tests updated

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

* few more changes

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

* last update

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

* java update

Signed-off-by: raver119 <raver119@gmail.com>
2020-03-02 12:49:41 +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 e78be14cc1
arm fix (#260)
* range check for scalar_int

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

* no simd

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

* no ops

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

* cyclic shift?

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

* left split

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

* left split

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

* rot ops unrolled templates

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

* no rotl/rotr for uint64

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

* no rotl/rotr for uint64 2

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

* no rotl/rotr for uint64 3

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

* ARM_BUILD declared

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-21 14:31:00 +03:00
Oleh 0748c7e7c2
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases

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

* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion

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

* libnd4j added 3D and 5D cases support and tests, need testing with different orders

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

* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up

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

* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables

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

* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master

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

* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops

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

* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 07:46:05 +03:00
raver119 215641ea9e
Minor improvements (#255)
* static increments in loops

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

* specials and concat split into separate units

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-20 11:43:26 +03:00
raver119 2698fbf541
Broadcast perf improvements (#248)
* broadcast as scalar edge case

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

* missing return

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

* few fixes

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

* one more fix

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

* no need for lambdas

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-17 16:25:09 +03:00
Oleh 6e6289b6b9
Oleh bert multiply true broad cast (#239)
* libnd4j trueBroadcast rank 3 row implementation of special case

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

* libnd4j rule clarify for second special case for all tests pass

* libnd4j parallel_tad loop switch on in special case

* libnd4j more general case for special case 2, need additional testing

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

* libnd4j more general case for trueBroadcast special cases added

* libnd4j minor corrections and clean up

* libnd4j one more minor fix

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

* libnd4j fixed check point to support all Y common vector representations in first special case for trueBroadcast

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-02-14 12:04:38 +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
Oleh 11cb561045
Oleh true broadcast opt (#234)
* libnd4j trueBroadcast special case

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

* libnd4j fix trueBroadcast special case

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

* libnd4j special case of TrueBroadcastHelper

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

* libnd4j trueBroadCast special case and test

* libnd4j minor changes sync with master

* libnd4j changes to TrueBroadcastHelper.hpp per require

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-02-12 14:12:17 +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

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

* - IndexReduce int32/int64 split into multiple compilation units

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

* - Reduce3 ops split into multiple compilation units

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-09 19:48:32 +03:00
Abdelrauf d39ca6d488
ElementWiseStride==1 cases for legacy random ops (#202)
Signed-off-by: AbdelRauf <rauf@konduit.ai>
2020-01-31 08:57:31 +03:00
raver119 7783012f39
cuDNN integration (#150)
* initial commit

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

* one file

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

* few more includes

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

* m?

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

* const

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

* cudnn linkage in tests

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

* culibos

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

* static reminder

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

* platform engine tag

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

* HAVE_CUDNN moved to config.h.in

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

* include

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

* include

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

* skip cudnn handle creation if there's not cudnn

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

* meh

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

* target device in context

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

* platform engines

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

* platform engines

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

* allow multiple -h args

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

* allow multiple -h args

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

* move mkldnn out of CPU block

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

* link to mkldnn on cuda

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

* less prints

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

* minor tweaks

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

* next step

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

* conv2d NCHW draft

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

* conv2d biasAdd

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

* test for MKL/CUDNN combined use

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

* - 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

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

* engine for depthwise mkldnn

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

* couple of includes

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

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

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

* lgamma fix

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

* - eliminate memory leak in two tests

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

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

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

* 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
raver119 29e8e09db6
String changes (#3)
* initial commit

* additional data types & tensor type

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

* next step

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

* missing include

* sparse_to_dense

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

* few more tests files

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

* draft

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

* numeric sparse_to_dense

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

* comment

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

* string sparse_to_dense version

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

* CUDA DataBuffer expand

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

* few tweaks for CUDA build

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

* shape fn for string_split

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

* one more comment

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

* string_split indices

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

* next step

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

* test passes

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

* few rearrangements for databuffer implementations

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

* DataBuffer: move inline methods to common implementations

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

* add native DataBuffer to Nd4j presets

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

* DataBuffer creation

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

* use DataBuffer for allocation

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

* cpu databuffer as deallocatable

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

* DataBuffer setters for bufers

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

* couple of wrappers

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

* DataBuffers being passed around

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

* Bunch of ByteBuffer-related signatures gone

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

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

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

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

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

* one special test

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

* empty string array init

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

* one more test in cpp

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

* memcpy instead of databuffer swap

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

* special InteropDataBuffer for front-end languages

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

* few tweaks for java

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

* pointer/indexer actualization

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

* CustomOp returns list for inputArumgents and outputArguments instead of array

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

* redundant call

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

* print_variable op

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

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

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

* one more test

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

* - empty arrays handling

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

* - deserialization works now

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

* minor fix

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

* meh

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

* one more fix

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

* initial cuda commit

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

* print_variable message validation

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

* CUDA views

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

* CUDA special buffer size

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

* minor update to match master changes

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

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

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

* meh

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

* - print_variable now allows print from device

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

* InteropDataBuffer data type fix

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

* ...

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

* disable some debug messages

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

* master pulled in

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

* couple of new methods for DataBuffer interop

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

* java side

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

* offsetted constructor

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

* new CUDA deallocator

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

* CUDA backend torn apart

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

* CUDA backend torn apart 2

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

* CUDA backend torn apart 3

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

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

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

* few more tests + few more tweaks

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

* two failing tests

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

* one more test

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

* two failing tests pass

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

* now we pass DataBuffer to legacy ops too

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

* Native DataBuffer for legacy ops, Java side

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

* CPU java side update

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

* CUDA java side update

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

* no more prepare/register action on java side

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

* NDArray::prepare/register use now accepts vectors

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

* InteropDataBuffer now has few more convenience methods

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

* java bindings update

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

* tick device in NativeOps

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

* Corrected usage of OpaqueBuffer for tests.

* Corrected usage of OpaqueBuffer for java tests.

* NativeOpsTests fixes.

* print_variable now returns scalar

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

* one more test

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

* compat_string_split fix for CUDA

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

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

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

* legacy ops DataBuffer migration prototype

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

* ignore device shapeinfo coming from java

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

* minor fix

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

* minor transformAny fix

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

* minor tweak for lazy host allocation

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

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

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

* - IndexReduce CUDA dimension buffer fix

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

* views for CPU and CUDA

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

* less spam

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

* optional memory init

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

* async memset

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

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

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

* - reduce3All fix
switch to CUDA 10 temporarily

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

* CUDA version

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

* proper memory deallocator registration

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

* HOST_ONLY workspace allocation

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

* temp commit

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

* few conflicts resolved

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

* few minor fixes

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

* one more minor fix

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

* NDArray permute should operate on JVM primitives

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

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

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

* - addressPointer temporary moved to C++

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

* CUDA: don't account offset twice

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

* CUDA: DataBuffer pointer constructor updated

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

* CUDA NDArray.unsafeDuplication() simplified

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

* CUDA minor workspace-related fixes

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

* CPU DataBuffer.reallocate()

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

* print_affinity op

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

* print_affinity java side

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

* CUDA more tweaks for data locality

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

* - compat_string_split tweak
- CudaUtf8Buffer update

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

* INDArray.close() mechanic restored

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

* one more test fixed

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

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

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

* one last fix

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

* bad import removed

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

* another small fix

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

* one special test

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

* fix bad databuffer size

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

* release primaryBuffer on replace

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

* higher timeout

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

* disable timeouts

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

* dbCreateView now validates offset and length of a view

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

* additional validation for dbExpand

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

* restore timeout back again

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

* smaller distribution for rng test to prevent timeouts

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

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

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

* OpaqueDataBuffer now contains all required methods for interop

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

* some javadoc

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

* GC on failed allocations

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

* minoe memcpu tweak

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

* one more bitcast test

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

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

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

* DataBuffer additional syncStream

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

* DataBuffer additional syncStream

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

* one ignored test

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

* skip host alloc for empty arrays

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

* ByteBuffer support is back

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

* DataBuffer::memcpy minor fix

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

* few minor prelu/bp tweaks

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

* nullify-related fixes

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

* PReLU fixes (#157)

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

* Build fixed

* Fix tests

* one more ByteBuffer signature restored

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

* nd4j-jdbc-hsql profiles fix

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

* nd4j-jdbc-hsql profiles fix

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

* PReLU weight init fix

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

* Small PReLU fix

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

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

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

* missed file

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

* Small tweak

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

* cuda 10.2

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

* minor fix

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

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
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
raver119 bd4f77c652 Compilation units (#124)
* IndexReduce and Reduce3 split into few units

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

* IndexReductionLoops split as well

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

* reduce_float split as well

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-14 21:59:37 +02:00
raver119 a5f5ac72b1
reduce bool changes (#118)
* reduce bool changes

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

* reduce bool tweaks

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-09 20:08:59 +03:00
Yurii Shyrma 1f5e15b541 Shyrma adjust (#98)
* - add possibility of passing scalar-array as input parameter for scale factor in adjust hue/contrast/saturation ops
- correct typo in function which calculates regularized incomplete beta integral

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

* - fix bug in betainc cuda kernel

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

* - start working on implementation of digamma function

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

* - further work on digamma function (cpu)

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

* - testing and fixing bugs in digamma op

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

* - make correction n cuda kernel for polyGamma

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

* - remove unnecessary stuff from betaInc cuda kernel

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

* - resolve conflicts in DeclarableOpsTests3.cpp after master branch has been merged

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

* - restore id number of Not opertion in legacy_ops.h

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

* - correct padding calculation in mkl dnn conv1d causal

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

* restore empty check in adjust_contrast_v2

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-03 09:40:45 +03:00
raver119 064a56ccf1
Few fixes (#66)
* skip legacy transforms execution in case of empty input arrays

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

* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads

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

* java side

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

* trigger jenkins

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

* update LessThanOrEqual opNum mapping

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

* update LessThanOrEqual opNum mapping

Signed-off-by: raver119 <raver119@gmail.com>
2019-11-21 15:43:03 +03:00
raver119 db7ca956c5
[WIP] Mish (#55)
* Mish activation function and its derivative

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

* signature fix

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

* mish as activation for dl4j

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

* javadoc

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

* minor optimization

Signed-off-by: raver119 <raver119@gmail.com>
2019-11-18 13:21:26 +03:00
raver119 6de00bf75f
[WIP] Weekly update of repo (#8390)
* [WIP] Fix compilation after nd4j changes (#37)

* Fix compilation.

* Some tests fixed

* Disable tests temporarily.

* Restored test

* Tests restored.

* Test restored.

* [WIP] perf tests (#40)

* special maxpool test

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

* special maxpool test

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

* Shyrma bnorm bp (#41)

Batchnorm backprop mkldnn

* Add SameDiff memory reuse memory manager (array cache) (#39)

* Attention op comments

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

* ArrayCacheMemoryMgr - first pass

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

* Tweak array cache for use with SameDiff identity arrays

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

* ArrayCacheMemoryMgr javadoc and properly get max memory

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

* LRU cache policy + add tests

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

* Fixes

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

* Resize arrays internally if required for ArrayCacheMemoryMgr

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

* Test improvement

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

* Small polish

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

* SameDiff op runtime benchmarking listener (#42)

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

* INLINE_LOOPS for windows

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

* [WIP] ThreadPool (#8)

This PR removes OpenMP use in 95% of cases
2019-11-13 17:15:18 +03:00
shugeo 7b14a9f603
Gamma and Poisson distributions (#27)
* Added implementation for random_gamma op.

* Added implementation for random_poisson op and support classes.

* Added helpers for random_poisson and random_gamma ops.

* Implementation of random_poisson. The first working edition.

* Implementation of random_poisson. Parallelized working edition.

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

* Added cuda implementation for helper of poisson distribution.

* Corrected shape calculation with random_gamma and tests.

* Finished cpu implementation for gamma distribution.

* Finished cuda implementation for random_gamma op.

* Refactored cpu helpers for random_gamma and random_poisson ops.

* Refactored cuda helpers for gamma and poisson distribution.

* Refactored cuda helper for gamma distribution.

* Refactored cpu helper for random_poisson op.

* Refactored cpu helper for random_gamma op.
2019-11-04 15:42:28 +02:00
Yurii 70bd925abd - write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api 2019-10-17 20:44:52 +03:00
shugeo 7103aca8c5 Added broadcastable IGamma and IGammac ops. 2019-10-16 13:58:32 +03:00
shugeo 908e4c4912 Added implementation for divide_no_nan op and tests. 2019-10-04 10:29:15 +03:00
raver119 cff26f13c5
Revert "Implement divide_no_nan op." 2019-10-03 20:25:52 +03:00
shugeo 6eaca179d6 Implement divide_no_nan op. 2019-10-03 18:22:17 +03:00
shugeo e1a7460f8e Shugeo cuda doc2 (#255)
* Added comments to tileKernel routine.

* Refactored kernel and added doc to it.

* Refactored setDiagonal kernel and added doc for it.

* Added doc for tnse cuda helpers.

* Added doc for diag kernels.

* Added doc for kernel.

* Refactored code with fake quantization.

* Added docs for image resize and crop kernels.

* Added docs for image suppression helpers.

* Added docs to matrix_band helpers.

* Added docs for matrix_diag_part and nth_element helpers.

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

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

* - minor change

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

* - provide addBias cuda kernel

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

* - improve shape::getIndexOfffset and change its signature

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

* - same as previous

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

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

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

* - minor changes in flatten

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

* - add function shape::getIndexOffsetOrdered

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

* - correct shape::getIndexOffsetOrdered()

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

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

Signed-off-by: Yurii <shyrma@skymind.io>
2019-09-11 20:12:09 +03:00
raver119 106524663b fix double consumption of rng on cpu
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-02 15:24:51 +03:00
raver119 e42c34ca55
[WIP] minor (#218)
* - initial docs commit
- merge* cuda fix

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

* one more fix

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

* one more fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-09-02 11:25:48 +03:00
Yurii Shyrma a35926c6e9 - add parameter alpha to elu and lrelu_bp (#213)
* - add parameter alpha to elu and lrelu_bp

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

* - forgot to correct header activations.h

Signed-off-by: Yurii <yurii@skymind.io>
2019-08-31 20:57:39 +03:00
raver119 1003428a18
[WIP] Int broadcastables (#195)
* Removed invalid resource and fixed tests

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* legacy scalar/pairwise/broadcast int ops

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

* NDArray int broadcastables

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

* few more bitwise tests

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

* java side update

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

* Argument type changed for shift ops

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* legacy scalar/pairwise/broadcast int ops

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

* NDArray int broadcastables

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

* few more bitwise tests

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

* java side update

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

* Argument type changed for shift ops

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-08-30 10:12:40 +03:00
raver119 df84bc7255
[WIP] More tweaks (#173)
* CUDA empty reduction

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

* - listdiff synchronization fix for CUDA
- listdiff test

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

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

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 10:37:10 +03:00
raver119 e604ffe0d2
[WIP] repeat op (#143)
* - write new repeat helper (cpu)

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

* - update NDArray::cpu

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

* - update NDArray::repeat cuda

Signed-off-by: Yurii <yurii@skymind.io>
2019-08-21 21:10:29 +03:00
raver119 d9ab299759
[WIP] Minor fixes (#140)
* - Tile java shape fn removed
- Tile 0 validation added
- scatter_upd test

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

* additional tile validation

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

* - provide vector case in cuda scatter op

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

* cpu ismax view fix

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

* exp

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

* cuda ismax fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-21 15:05:47 +03:00
raver119 23c8738d4a
syncthreads (#136)
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-20 18:28:43 +03:00
raver119 aceb915557
[WIP] tests fixes (#130)
* no openmp for ClipByGlobalNorm

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

* one more bfloat16 rng test

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

* assertion fix

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

* - legacy IsMax gone
- linear IsMax gets shapeInfo argument

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

* get rid of legacy IsMax tests

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

* IsMax is custom op now

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

* more blocks for ismax

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

* one more test

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

*  - sqrt test
 - some legacy code removed from CudaExecutioner
 - Transforms.asin tweaks

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

* - TransformFloat fix

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

* - ismax fix
- SpaceToBatchND/BatchToSpaceND wrappers
- couple of legacy tests removed

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-19 11:33:15 +03:00
raver119 c7277729e9
few fixes for bfloat16 in java and cpp (#114)
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-14 21:51:42 +03:00
raver119 53ca9a76e8
[WIP] multi-device support (#80)
* fix pad javadoc and @see links. (#72)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* [WIP] More fixes (#73)

* special tests for ConstantTadHelper/ConstantShapeHelper

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

* release methods for data buffers

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

* delete temporary buffer Java side

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

* delete temporary buffer Java side

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

* delete temporary TadPack C++/Java side (#74)

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

* Zoo model TF import test updates (#75)

* argLine fix, update compression_gru comment

* updated comment for xception

* undid but commented argLine change

* updated xlnet comment

* copyright headers

* - new NDArray methods like()/ulike() (#77)

- fix for depthwise_conv2d_bp + special test

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

* upsampling2d fix CUDA

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

* DL4J trace logging (#79)

* MLN/CG trace logging for debugging

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

* Tiny tweak

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

* strided_slice_bp shape fn leak fix

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

* SameDiff fixes and naming (#78)

* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching

* initial commit

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

* initial commit

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

* fix javadoc. (#76)

* fix javadoc.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* replace most @see with @link s.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* 4 additional tests

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

* launch context reorganization

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

* LaunchContext reorganization

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

* per-device LaunchContext

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

* Various DL4J/ND4J fixes (#81)

* #7954 Force refresh of UI when switching tabs on overview page

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

* #8017 Concurrent modification exception (synchronize) fix

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

* #8033 Don't initialize updater in middle of writing memory crash dump

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

* #8208 Fix shape checks for ND4J int[] creator methods

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

* #6385 #7992 Keras import naming fixes + cleanup

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

* #8016 Upsampling3D - add NDHWC format support

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

* ContextBuffers as separate entity

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

* Refactor NativeOps.h to export C functions

* Actually export functions from NativeOps.h

* Adapt the Java wrappers in ND4J generated with JavaCPP

* Create C wrappers for some of the C++ classes currently used by ND4J

* ContextBuffers as separate entity

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

* remove duplicate code in createBufferDetached. (#83)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* Keras model import - updater lr fix (#84)

* Keras model import - updater lr fix

Signed-off-by: eraly <susan.eraly@gmail.com>

* Keras model import - updater lr fix, cleanup

Signed-off-by: eraly <susan.eraly@gmail.com>

* ContextBuffers as separate entity

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

* ContextBuffers as separate entity

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

* Fix functions of OpaqueVariablesSet

* thread-local buffers/affinity

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

* thread safety for LaunchContext

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

* more of thread safety

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

* one more multi threaded test

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

* SameDiff Convolution Config validation, better output methods (#82)

* Conv Config validation & tests

Signed-off-by: Ryan Nett <rnett@skymind.io>

* stackOutputs utility method

Signed-off-by: Ryan Nett <rnett@skymind.io>

* use constructor for validation, support negative kernel sizes (infered from weights)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* better output methods

Signed-off-by: Ryan Nett <rnett@skymind.io>

* move output to be with fit and evaluate

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* refactor duplicate code from pad methods. (#86)

* refactor duplicate code from pad methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* replace switch with if.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* Various ND4J/DL4J fixes and improvements (#87)

* Reshape and reallocate - small fixes

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

* Reshape and reallocate - small fixes

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

* #6488 ElementWiseVertex broadcast support

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

* Constructors and broadcast supported it Transforms.max/min

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

* #8054 ElementWiseVertex now supports broadcast inputs

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

* #8057 Nd4j.create overload dtype fix

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

* #7551 ND4J Shape validation fix

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

* [WIP] Numpy boolean import (#91)

* numpy bool type

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

* numpy bool java side

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

* remove create method with unused parameter. (#89)

* remove create method with unused parameter.

* removed more unused methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* removing more unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* last removal of unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* remove createSparse methods. (#92)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* Various ND4J/DL4J fixes (#90)

* Deprecate Old*Op instances

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

* #8063 #8054 Broadcast exceptions + cleanup inplace ops

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

* Small fix

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

* Remove bad test condition

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

* #7993 Fix shape function issue in crop_and_resize op

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

* DL4J SameDiff lambda layer fix

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

* #8029 Fix for pnorm backprop math

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

* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)

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

* createUninitializedDetached refactoring. (#94)

* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* createUninitializedDetached refactored.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* cuda build fix for issues introduced by recent refactoring

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

* [WIP] More of CUDA (#95)

* initial commit

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

* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

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

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

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

* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

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

* Added test for concat.

* comment unnecessary stuff in s_t_b

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

* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

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

* - debugging and fixing cuda tests in JavaInteropTests file

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

* - correct some tests

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

* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

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

* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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

* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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

* Fixed axpy op.

* meh

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

* - fix tests for nativeOps::concat

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

* sequential transform/scalar

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

* allow nested parallelism

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

* assign_bp leak fix

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

* block setRNG fix

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

* enable parallelism by default

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

* enable nested parallelism by default

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

* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

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

* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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

* - some tests fixes

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

* - correct the rest of reduce_ stuff

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

* - further correction of reduce_ stuff

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

* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

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

* - provide cuda kernel for gatherND operation

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

* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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

* minor tests tweaks

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

* - further correction of cuda stuff

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

* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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

* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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

* - get rid of concat op call, use instead direct concat helper call

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

* lstmBlockCell context fix

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

* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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

* operator * result shape fix

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

* - correct typo in lstmCell

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

* few tests fixed

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

* CUDA inverse broadcast bool fix

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

* disable MMAP test for CUDA

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

* BooleanOp syncToDevice

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

* meh

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

* additional data types for im2col/col2im

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

* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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

* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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

* mmulDot tests fixed

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

* more tests fixed

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

* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

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

* Eliminate cbow crach.

* more tests fixed

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

* more tests fixed

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

* Eliminated abortion with batched nlp test.

* more tests fixed

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

* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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

* scalar operators fix: missing registerSpecialUse call

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

* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

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

* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

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

* build fix

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

* exclude two methods for JNI

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

* exclude two methods for JNI

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

* exclude two methods for JNI (#97)

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

* temporary stack fix

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

* round robin affinity test

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

* get rid of legacy CudaContext methods

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

* get rid of legacy ContextPool classes/methods

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

* one legacy test removed

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

* few more fields rearranged

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

* OpaqueLaunchContext

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

* OpaqueLaunchContext++

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

* more of OpaqueLaunchContext methods

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

* LaunchContext -> CudaContext

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

* AffinityManger changes

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

* AffinityManger changes

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

* cusolver handles

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

* typo

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

* cusolver method

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

* cusolver handle propagated

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

* blas/solver handles

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

* one more test

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

* legacy concat implementations replaced with new CustomOp

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

* one more test

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

* concat now uses way more blocks

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

* print

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

* no more triple template mmul

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

* bunch of kernels have dtypes reconsidered

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

* bunch of kernels have dtypes reconsidered

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

* bitonic sort reorganized

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

* bunch of cpu stuff removed from cuda scope

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

* bunch of cpu stuff removed from cuda scope

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

* type conversions moved to generic impl

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

* cpu data types pass

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

* non_max_suppression

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

* sortByValue fix

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

* ignore all mixed datatype tests for mmul

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

* special handling of OpProfiler exceptions

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

* - one failing concat test in cpp
- Nd4j.tile now uses op internally

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

* get back dtype exception for legacy arrays deserialization

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-14 16:52:34 +03:00