Commit Graph

489 Commits (6afe6ff3504c9c7729da737b1c21ddc5f8904e00)

Author SHA1 Message Date
Alexander Stoyakin fb1c41c512
Build fix (#357) 2020-04-01 19:09:48 +11:00
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
Alex Black 81ebfeead1
Small fixes (#355)
* #8787 DataVec test fix

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

* New nd4j test + fix bad datavec test

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

* #8745 Fix flaky arbiter test

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

* One more test

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-04-01 15:11:39 +11:00
Alexander Stoyakin 0a27e9f41d
Fix incompatibilities with generated code (#303)
* Cholesky fixed

* Constructors added

* MatMul wrapper

* Constructor added

* Missing wrappers added

* Generate Linalg namespace added

* Output data types

* Unit tests

* Added mmul

* Code generation

* Code generated

* Build fixed

* Fixing signatures

* Tests fixed

* Tests fixed

* Added enum

* Fix tests

* Some fixes

* Eye test fixed

* SameDiff: small fix for renameVariable - also replace variable name in lossVariable list if necessary

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

* Some fixes

* Tests fixed

* Revert wrong fix

* Some fixes

* Some fixes

* Extending base test class

* Added pad

* Fixed for generated signatures

* Fixes due to nd4j codegen

* Backwards compatibility fixes

* Fixed errors in tests, reverted wrong changes

* Test fixed

* Added missing operations used for nd4s operators

* Compilation fixed

* Added meshgrid

* Fixed constructors

* fixes

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

* Fix bad commit (incorrectly reverted change from master)

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

* Fixed test

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-01 12:00:38 +11:00
Alex Black 9b3576bc00 Merge remote-tracking branch 'eclipse/master' 2020-03-30 22:18:25 +11:00
Alex Black 63c9223bc2
Assorted fixes (#318)
* #8777 MultiLayerNetwork.evaluate(MultiDataSetIterator) overload

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

* #8768 SameDiff.equals

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

* #8750 shade freemarker library and switch to it in DL4J UI

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

* #8704 DL4J UI redirect

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

* #8776 RecordReaderDataSetIterator builder collectMetaData fix

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

* #8718 Fix DL4J doEvaluation metadata

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

* #8715 ArchiveUtils - Add option to not log every extracted file

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

* No exception for evaluations that don't support metadata

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

* Fixes

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

* #8765 CompGraph+MDS fix for SharedTrainingMaster

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

* small fix

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

* Timeout

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

* Ignore

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

* Revert freemarker shading

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

* Ignore

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-27 00:33:13 +11:00
mheck136 364f9a660c
Set source and target version of nd4j-native to java 7 (#8808)
Signed-off-by: Martin Heck <mheck136@gmail.com>
2020-03-26 11:33:56 +11:00
Fariz Rahman b1bc7df160
tf.keras model import (#258)
* tf op initial

* ..

* protobuf parsing working

* model build working

* test passing

* headers

* conffix

* service loader + tests

* revert cuda version

* msg

* override

* refacc

* pom

* rem bad import

* dtype fix + const cast caaching

* rem unnecessary fields

* rem println

* rem dep

* refacc

* rem redundant arg

* Ignore TFOpLayer in DTypeTests

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-03-24 20:37:27 +11:00
Alex Black ec6abacdb8
Fix limits on flaky test to avoid spurious failure (#344)
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-24 20:33:43 +11:00
Serhii Shepel 3cbba49518
Bugfix failing builds (#341)
* Fix interpreter for libnd4j tests and drop test script

* Remove mingw when specifying javacpp.platform, add new profile that triggers when javacpp.platform is windows-x86_64

* Update android 32 bit toolchain for x86

* Try triple instead of -target

* Change to -target

* Update 32 bit arm

* Change android bin path

* Update arm 32 bit build again

Co-authored-by: Adam Gibson <1144306+agibsonccc@users.noreply.github.com>
2020-03-24 12:55:47 +11:00
Alex Black 838c3ddb5a
Timeouts and temp ignore for logged issue - #8802 (#342)
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-24 12:05:17 +11:00
Oleh 69c92ca5ae
Learning updaters for gradient (#335)
* libnd4j raw implementation of sgd upader

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

* libnd4j some corrections and simple test added

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

* libnd4j some corrections after discussion

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

* libnd4j integrate applyScalar

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

* libnd4j raw implementation of rmsPropUpdater on cpu

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

* libnd4j fix operations declaration

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

* libnd4j rmsPropUpdater added, test cases for sgd, etc

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

* libnd4j fixed several typos

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

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

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

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

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

* libnd4j adaGrad updater added

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

* libnd4j one minor fix for ada grad

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

* libnd4j several more fixes for ada_grad

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

* libnd4j nesterovs updater added

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

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

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

* libnd4j one minor typo

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

* libnd4j ada max updater added

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

* libnd4j fixed several typos in adaMax updater

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

* libnd4j fixed several typos in adaMaxUpdater

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

* libnd4j several fixes for adaMax, added Adam Updater

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

* libnd4j adaDeltaUpdater added, minor fixes for adamUpdater

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

* libnd4j several fixes for adaDeltaUpdater

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

* libnd4j nadamUpdater added

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

* libnd4j one more correction for nadam updater

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

* libnd4j several fixes for nadam updater and added amsGradUpdater

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

* libnd4j several typos fixed in amsGradUpdater

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

* libnd4j some corrections and added f order support rmsProp updater

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

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

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

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

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

* libnd4j added input shape checks

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

* libnd4j some corrections for different cases handling

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

* libnd4j some code clean up and optimize per request

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

* libnd4j updaters refactoring after review

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

* SgdUpdater wrapper

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

* first test

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

* RmsPropUpdater added

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* NadamUpdater + NesterovsUpdater

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* AmsGradUpdater

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

* AdamUpdater added

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

* AdaGradUpdater + AdaDeltaUpdater + AdaMaxUpdater

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

* AdaGradUpdater test added

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

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

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

* libnd4j next step to split operations implementation into separate files

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

* libnd4j merge master and minor corrections

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

* libnd4j revert some changes of split implementation

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

* libnd4j forgot to add header file

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

* public default constructors

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

* ImportClassMapping updated

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-23 07:28:31 +03:00
Adam Gibson 015147b713
Fix openblas linking issues (#340)
* Fix cmake detection in msys

* Revert windows change

* Update to unix line endings

* Fix linking issues
2020-03-21 17:30:26 +09:00
Alex Black f79207033b
SameDiff multi-threaded inference (#263)
* #8682 Don't log openmp BLAS threads for CUDA

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

* #8654 Add SameDiff multi-threaded tests

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

* Switching to op context for SameDiff exec

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

* Next steps

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

* Most back to passing

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

* Fixes

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

* Better tests, test refactoring

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

* Small tweak

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

* Code duplication reduction

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

* More code deduplication

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

* CUDA fixes

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

* More CUDA fixes

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

* More fixes

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

* Small fix

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

* ND4S small fixes

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-20 21:24:39 +11:00
Alex Black 2497290cb0
AdaGrad validation test (#334)
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-20 17:25:46 +11:00
raver119 7a2ac800dd
Nullify (#304)
* initial commit

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

* bunch of tweaks

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

* hamming distance nullification

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

* Add output array value assignment for testing/debugging

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

* don't assign empty arrays

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

* conv2d/conv3d/depthwise2d nullified

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

* conv2d/conv3d/depthwise2d nullified

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

* conv2d/conv3d/depthwise2d nullified

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

* few more fixes

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

* im2col

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

* pooling?

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

* more nullified

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

* ismax nullified

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

* rollback ismax nullification

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

* synchronized cublas handle use on per-device basis

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

* hiding method from jcpp

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

* get rid of test assigns in DeclarableOp

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

* get rid of assigns

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

* proper deviceId is back

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

* include fixed

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-03-20 08:49:28 +03:00
Adam Gibson 30a28fae45
Windows fix (#333)
* Fix cmake detection in msys

* Revert windows change

* Update to unix line endings
2020-03-20 12:14:03 +09:00
Adam Gibson 0cf4a45573
Fixes #8763 (#310)
* Fix cmake detection in msys

* Fix toolchain file on windows

* Make android 64 bit work

* Fix libnd4j build script on msys

* Update build script for windows/linux

* Encoding issue for ci

* Update pom.xml

* Update pom.xml

* Update pom.xml

* Remove mingw

* Ensure android x86 builds are inline with arm builds

* Update toolchains and env variables for x86

* Move profile for build program up to parent

* Fix blas vendor and add comment

* Update cuda presets version

* Set default value and move properties back to child pom

* Change program from hard coded to use the script as the program

* Update pom.xml

* Update pom.xml

* Static lib fix

* Update static lib output

* Get rid of old comments

* Update static for buiding
2020-03-19 14:53:21 +09:00
Shams Ul Azeem 9c77bfa85f
Support for more numpy datatypes (#241)
* Adding more datatypes support in datavec-python

* Using numpy C API for creating numpy arrays

* Adding parameterized tests

* Adding support for BFLOAT16 (by converting it to FLOAT)

* Cleanup

* Using casting instead of creating an array

* Giving out a warning while casting array from BFLOAT16 to FLOAT

* Add syncToPrimary and syncToSpecial methods to BaseDataBuffer

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

* Python exec: sync to host before passing pointers

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

* Added copyright header

* use np api (#267)

* python exec / numpy - check object type before cast (#268)

* use np api

* verify object before cast

* fix cong

* cuda fix

* inplace test + tiny fix

* more test

* fix double alloc

* rem tags

* fix cuda check

* Fix implicit CUDA dependency in datavec-python tests; remove new method, add test

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

Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Fariz Rahman <farizrahman4u@gmail.com>
2020-03-19 00:48:37 +11:00
raver119 bac130bd78
CUDA host pointer fix (#322)
* CUDA fix: host pointer propagation

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

* disable logging

Signed-off-by: raver119 <raver119@gmail.com>
2020-03-16 12:07:34 +03:00
Alex Black 2cd4522f94
Add updater tests/validation (#319)
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-16 10:35:15 +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 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

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* timing

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* 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
Andrii T a2ec3dbc97
Image namespace (#176)
* created NDImage.java and fixed constructor in AdjustContrast.java

* created NDImage.java and fixed constructor in AdjustContrast.java

* created NDImage.java and fixed constructor in AdjustContrast.java v2

* regenerated NDImage from cleaned Image,kt also cleaned AdjustContrast.java

* draft of NDCNN

* draft of NDCNN

* started NDRNN

* started NDRNN

* looking like finished with namespace

* Regenerate namespaces

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

* Add ND4J namespace methods for new namespaces

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

* Fixes, cleanup

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

* More fixes

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

* Fixes

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

* Fix

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

Co-authored-by: Andrii Tuzhykov <andrew@unrealists.com>
Co-authored-by: Andrii Tuzhykov <andrew@konduit.ai>
Co-authored-by: AlexDBlack <blacka101@gmail.com>
2020-03-09 13:35:17 +11:00
Alex Black a80fb99a5f
DL4J integrations tests updates + add SameDiff support (#298)
* Revive and start updating DL4J integration tests

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

* Add SameDiff support - first pass

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

* SameDiff test case generation

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

* SameDiff integration tests polishing

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

* More SameDiff integration test fixes

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

* Final polish

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

* Small test tweak

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-07 22:44:41 +11:00
Alex Black e6a7b94fe4
Loss namespace (#294)
* codegen for SDLoss. WIP.

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

* first pass of SDLoss.

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

* wip. Firsat cut of new op constructors. UNTESTED , NOT COMPILED YET.

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

* updated op signatures.

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

* add NDLoss tests.

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

* fix test.

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

* adds loss default params. factory.

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

* Regenerate NDLoss

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

* adds tests for null weights.

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

* Last few tweaks

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

Co-authored-by: Robert Altena <Rob@Ra-ai.com>
2020-03-06 16:07:22 +11:00
Alex Black 19d5a8d49d
Various fixes (#290)
* Add check to ensure ALL tests extend BaseND4JTest for proper timeouts + logging

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

* Add 'must extend BaseDL4JTest' check for deeplearning4j-core

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

* Flush logging on workspace exit during tests

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-06 00:02:32 +11:00
Samuel Audet 1c89512ec0
Add Maven profiles for ARM builds to pom.xml files (#265)
* Add Maven profiles for ARM builds to pom.xml files

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>

* Remove mkl from dependencies when running on non intel/amd platforms

* Downgrade openblas for now

* Change back to 0.3.8

Co-authored-by: Adam Gibson <1144306+agibsonccc@users.noreply.github.com>
2020-03-04 11:11:01 +03:00
Fariz Rahman fec620fafa
TensorflowConversion Data Types (#284)
* dtypes

* bf16 and bool

* tests
2020-03-04 11:46:32 +11:00
raver119 0f581e74e3 one small test rearrangement
Signed-off-by: raver119 <raver119@gmail.com>
2020-03-02 19:52:11 +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

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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
Alex Black 483c3d7b8c
Assorted SameDiff/DL4J fixes (#279)
* #8565 Normalizer toString/hashcode

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

* #8731 ImagePreProcessingScaler lables/segmentation fix

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

* #8691 Fix SameDiffLayer/Vertx finetuning and parameter setting support

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* #8663 DL4J embedding layer weight init - don't depend on vocab size

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* EmbeddingLayer test tweak

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2020-03-02 16:15:49 +11:00
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.

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* Fixed shape routine and tests.

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* 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.'

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* Tests on

* Refactored test for lstsq op.

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* Fixed test

* Added another approach for lstsq op aka solve_ls.

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* Finished cpu part for solve_ls op helpers.

* Added helper for low triangular matrix inversion.

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* Refactored alternate solve_ls cpu implementation.

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

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* Assert fixed

* Refactored multithreading for inverse matricies.

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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-02-28 11:37:26 +03:00
Yurii Shyrma f7a9190407
profiling of concat op (both cuda and cpu) (#151)
* - profiling of concat op (both cuda and cpu)

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* better comparison for large concat

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* - further improving of concat op

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* some loggin

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

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* - move concat op to specials_single.cpp file

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

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2020-02-20 21:19:01 +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
Alexander Stoyakin 4206171b70
Ignored tests (#243) 2020-02-14 09:27:46 +03:00
Yurii Shyrma fe47f52896
Oleh tenzor mmul (#231)
* Libnd4j: TensorMMul backprop op #8174, raw implementation

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

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

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

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

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

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

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* 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

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

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* 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

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* 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

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* Libnd4j: TensorMMul backprop op #8174 sync master

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

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

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

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

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

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

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* - correct bug in transform cuda native ops

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* - correct bug in NDArray::assign

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* - remove old shape::reshape stuff

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

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

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Co-authored-by: Oleh <oleg.semeniv@gmail.com>
2020-02-13 20:33:54 +03:00
Alexander Stoyakin 8c0e378ec3
Improving SameDiff tests coverage (#227)
* Gradients tests added

* Fix for Standard deviation serialization + test

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

* More fixes

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* Test fixed

* Spark config driver host config for CI

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* Op validation timeout increase

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* Gradient check - fix for low probability test failure due to randomly all 0s mask

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Co-authored-by: Alex Black <blacka101@gmail.com>
2020-02-13 10:29:08 +11:00
raver119 1dfac9a736
DataBuffer.write() tweak (#221)
* special workaround methods for DataBuffer.write

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* one test removed

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* more of unsynced

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* missing asLong for BaseCudaDataBuffer

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2020-02-07 18:16:11 +03:00
raver119 a0da5a9e47
Events removed from Java (#219)
* replace mutex with lock_guards

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* Events ditched from Java CUDA logic

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2020-02-07 12:34:55 +03:00
Alex Black 569a46f87d
Fixes (#213)
* Increase timeouts for 2 tests occasionally failing on CI

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* Explicitly set character encoding via argline for maven surefire tests

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* CUDA gradient check timeout fix + simple rnn masking fix

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2020-02-05 17:07:36 +11:00
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.

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* Linear equations systems solve. The next stage commit.

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* Added test for linear equations systems solve operation.

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* Added additional test and fixed lower matrix retrievance.

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

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* Refactored permutation generation.

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

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* 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.

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* Fixed issue with permutation matrix for cpu implementation.

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* Eliminated waste comments.

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* LinearSolve added

* Mapping added

* Javadoc added

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

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* Added a test for solve op.

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* Solve test added

* Fix for TF import

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Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-02-04 08:59:11 +03:00
Alex Black ddf70ac450
Avoid double printing of start/stop test in a few cases (#210)
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2020-02-03 22:18:01 +11:00
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
raver119 81efa5c3b6
[WIP] one small fix (#207)
* one small fix

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* assert added

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2020-02-02 19:17:26 +03:00
Alex Black 0756e3fe70
Small fixes. (#206)
* Logging format tweaks for file logging

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

* Min abs error tweak for Util layer gradient checks

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* #8648 Fix SameDiff NPE instead of error for missing placeholders

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* Test runtime reduction

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2020-02-01 18:19:36 +11:00
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
Alex Black 5039fb22b7
Fix datatype issue with GpuGraphRunnerTest (#198)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-01-29 21:16:56 +11:00
Fariz Rahman 2f08af3166 Update GpuGraphRunnerTest.java (#195) 2020-01-28 19:30:39 +11:00
raver119 9f719488b9
CUDA sync tweaks (#194)
* ThreadLocal cache for CudaContext

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* temp commit

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* remove unwanted synchronization

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2020-01-28 10:55:06 +03:00
raver119 7ef0ef907e
Packages fix (#193)
* packages fix

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* few imports fixed

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* few imports fixed

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2020-01-27 23:04:21 +03:00
raver119 531a72fabd
execution mode (#183)
* initial commit

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* execution mode java side

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* meh

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* move exec mode to ContextPrototype

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* copyrights

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2020-01-27 10:00:07 +03:00
Alex Black 458d141d8e
Fix SDLoss null weights array issue (#185)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-01-25 20:13:23 +11:00
Alexander Stoyakin 4db28a9300 Cleanup of multiple projects (#175)
* Cleanup modules

* Moving subprojects to nd4j-api

* Project cleanup

* Dropped AWS sub-project

* dl4j-util moved to core

* dl4j-perf moved to core

* Tests coverage

* Revert "Moving subprojects to nd4j-api"

This reverts commit bc6eb573c6b60c407ade47172c5d204725077e6b.

* Moved nd4j-buffer and nd4j-context to nd4j-api

* Rolled back change

* Revert "Project cleanup"

This reverts commit 64ac7f369b2d968f7be437718034f093fc886ffc.

* Datavec cleaned up

* Revert "Moved nd4j-buffer and nd4j-context to nd4j-api"

This reverts commit 75f4e8da80d2551e44e1251dd6c5923289fff8e1.

# Conflicts:
#	nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/ReductionBpOpValidation.java

* Resolve conflict

* Compilation fixed.

* nd4j-context and nd4j-buffer moved to nd4j-api

* Fixed TF mapping for mmul

* Fix for dl4j-cuda tests

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

* Move last few tests from deeplearning4j-nn to -core

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* Remove incorrect TF import mapping for TensorMmul op

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

* Cleaned TF mapping

* Fix path for test results on windows

* Remove old dependency

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* One more attempt to fix path for test results on windows

* fixup! One more attempt to fix path for test results on windows

* fixup! One more attempt to fix path for test results on windows

Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
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2020-01-24 22:35:00 +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
Robert Altena 0caf50f80f SDLoss cleanup. (#180)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2020-01-23 22:22:06 +11:00
raver119 256c9d20b0
alloc check for RNG (#179)
* missing alloc validation in RandomGenerator for CUDA

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* set error message if rng alloc failed

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* check for error code during RNG creation in java

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2020-01-23 09:51:02 +03:00
raver119 25db3a44f1
[WIP] few fixes for tests (#177)
* nd4j-aeron profiles

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* nd4j-aeron profiles

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* skip one long test

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* skip one long test

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* kryo profile

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* few more profiles

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* few more profiles

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* few more profiles

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2020-01-22 16:12:30 +03:00
Alex Black a25bb6a11c
Unit/integration test split + test speedup (#166)
* Add maven profile + base tests methods for integration tests

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* Switch from system property to environment variable; seems more reliable in intellij

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* Add nd4j-common-tests module, and common base test; cleanup

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* Ensure all ND4J tests extend BaseND4JTest

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* Test spam reduction, import fix

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* Add test logging to nd4j-aeron

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* Fix unintended change

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* Reduce sprint test log spam

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* More test spam cleanup

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* Significantly speed up TSNE tests

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* W2V iterator test unit/integration split

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* More NLP test speedups

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* Avoid debug/verbose mode leaking between tests

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* test tweak

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* Arbiter extends base DL4J test

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* Arbiter test speedup

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* nlp-uima test speedup

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* More test speedups

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* Fix ND4J base test

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* Few small ND4J test speed improvements

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* DL4J tests speedup

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* More tweaks

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* Even more test speedups

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* More tweaks

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* Various test fixes

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* More test fixes

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* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest

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* nd4j-aeron test profile fix for CUDA

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2020-01-22 22:27:01 +11:00
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.

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* QR implementation.

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* 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.

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* Eliminated waste manual ticking.

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* Refactored memory allocation to avoid waste memory usage.

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* Refactored matrixMinor method both for cuda and cpu platforms.

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

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* Refactored temporary array of matricies.

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

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* Fixed compilation issues.

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

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* Added cpu implementation for triangular_solve helpers.

* Added tests and implementation for upper triangular equations.

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* Added a pair of cases to tests.

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* Added multithreading with cpu helpers for triangular_solve op.

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* Added cuda implementation of triangular_solve op helpers.

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* Finished cuda implementation of triangular_solve helpers and tests.

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* Fixed copyright marks.

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* Corrected grammar errors with doc and error messages.

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* Refactored matricies processing with triangular_solve cuda helper implementation.

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* Added triangular_solve wrapper

* Fixed mapping

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

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* Added implementation for adjoint routine with cuda platform.

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* Added multithreading with adjoint routine for cpu platform.

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

* Added implementation of resize_area op. Initial revision.

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

* Corrected resizeArea functor call.

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* Implementation of resize_area. Cpu platform helpers.

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* Implementation for resize_area helpers. The first part revision.

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* Added a set of tests for resize_area op.

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* Cuda implementation for resize_area. Initial approach.

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* Adding multithreading for resize_area algorithm.

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* Cuda implementation of resize_area helpers. Shared memory approach.

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* Refactored resizeAreaKernel with cuda implementation.

* Eliminated compilation errors.

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

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* Added test for batched resize_area op testing.

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* Implementation of resize_are for cuda platform and tests.

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* Fixed multithreading with resize_area op helper.

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* Corrected copyright marks with sources.

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* Corrected copyright mark for resize_area op implementation.

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* Corrected copyright mark for parity ops header.

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

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* Refactored resize_area helpers and multithreading.

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* Added ResizeArea wrapper

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

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* Added test

* TF mapping for ResizeArea

* Fixed implementation issues with resize_area op for both platforms.

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

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* Improved multithreading with resizeAreaKernel launch.

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

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

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* one file

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* few more includes

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* m?

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* const

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* cudnn linkage in tests

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* culibos

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* static reminder

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* platform engine tag

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* HAVE_CUDNN moved to config.h.in

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* include

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* include

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* skip cudnn handle creation if there's not cudnn

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* meh

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* target device in context

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* platform engines

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* platform engines

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* allow multiple -h args

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* allow multiple -h args

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* move mkldnn out of CPU block

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* link to mkldnn on cuda

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* less prints

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* minor tweaks

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* next step

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* conv2d NCHW draft

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* conv2d biasAdd

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* test for MKL/CUDNN combined use

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

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

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

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* - implementation of conv2d backprop op based on cudnn api

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

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

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

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* - implementation of batchnorm ff op based on cudnn api

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* - disable cudnn batchnorm temporary

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* - add minor change in cmake

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* engine for depthwise mkldnn

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* couple of includes

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

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* lgamma fix

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* - eliminate memory leak in two tests

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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

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* 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

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

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

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* 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

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

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

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

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* 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
Alex Black c84307a6fe
Small SameDiff execution fix (#168)
* SameDiff exec: Fix for switch op when predicate is constant, and op is inside loop

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

* Update ignores for failing zoo models

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-01-08 23:57:23 +11:00
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
Robert Altena 53d3bd1269 shallow delete of assign from SDBase. (#164)
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2020-01-04 15:26:39 +11:00
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
Susan Eraly c32acb2ec7 fix if dir does not exist (#129)
* fix if dir does not exist

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* added simple test

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2019-12-30 19:48:57 -05:00
Alexander Stoyakin 010744ef9c Lu wrapper and tests fixes (#144)
* Tests fixed

* Lu added

* Test fixed

* Default timeout

* Tests timeouts fixed.

* TF import fix

* Timeouts added

* Timeout fixed.

* Test corrected

* rgb and yiq conversion ops added

* Converter ops added

* Header

* Yuv converters

* API added

* Empty test for matmul

* Explanation

* skip gemm/gemv on empty inputs

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* Test added

* Correct test

* one more empty pass-through for mmul

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* Cleanup

* Test added

* Test fixed

* Added missing mapping

* Added missing mapping

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2019-12-30 15:06:12 +03:00
Alex Black 1f9e1b6022
SameDiff profiler analysis improvements (#141)
* #8555 SameDiff profiler analysis improvements

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* Fix TF sub-op aggregation

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* Small filtering tweak

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* Copyright headers

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2019-12-23 15:24:20 +11:00
Alex Black ce02b6fae7
Small fixes (#140)
* Allow scalar op result array auto allocation

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* Don't swallow underlying exception for calculateOutputShape execution failures

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* Ignore for known keras failure

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2019-12-21 17:00:46 +11:00
Alexander Stoyakin 6d8a063c9b nd4j-tests cleanup (#137)
* Fixed tests

* Invalid test removed
2019-12-20 16:38:33 +03:00
Alex Black 3d8f6d50a1
SameDiff profiler / tracing and profile analysis/comparison (#133)
* Profiler

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* Next steps, polishing, and loading SD/TF format JSON

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* Next steps

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* Profile comparison method

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* Make profiling result writing async to reduce main thread overhead

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* Profiling polishing

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* Fix

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* Profile analyzer fixes

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* Polish

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* Cleanup

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* Small formatting improvement

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* Formatting tweak

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* License headers

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2019-12-19 23:43:58 +11:00
Alexander Stoyakin f5068f3980 Added missing Java ops wrappers (#122)
* Timeouts added

* Added some ops

* Ops added

* Fixed tests

* Minor fix

* Some fixes

* Digamma added

* Small fixes

* Timeouts added

* Added some ops

* Ops added

* Fixed tests

* Minor fix

* Some fixes

* Digamma added

* Small fixes

* Fused batch norm fixes-

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* Tests switched off.

* Added test for resize_bicubic.

* Eliminated wasted in test of bicubic resize.

* Switched off multithreading explicit.

* HsvToRgb and RgbToHsv added

* Eliminated waste comments and conform proper float constants.

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* Fixed multithreading with resize_bicubic helper for cpu platform.

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* ResizeBicubic was fixed.

* Some fixes

* Fix op name

* Validation fixed.

* Clarifications for tests

* Wrappers and small fixes for new ops.
2019-12-19 20:15:48 +11:00
Alex Black bfd9e3692a
Add op counting to TensorFlowImportValidator (#128)
* Add op counting to TensorFlowImportValidator

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* Test tweak

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2019-12-17 10:23:37 +11:00
AlexDBlack 0ab39a2274 nd4j-jackson: exclude java.xml.stream.XML*Factory from service loader to avoid clashes with other non-shaded jackson etc on classpath
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2019-12-13 21:41:28 +11:00
AlexDBlack 0df1b46c8c Merge 2019-12-10 15:08:50 +11:00
raver119 a5f5ac72b1
reduce bool changes (#118)
* reduce bool changes

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* reduce bool tweaks

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2019-12-09 20:08:59 +03:00
Alex Black 0175ace4c3
Small tweaks (#119)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-09 23:08:00 +11:00
Alexander Stoyakin 927d591421 ResizeBicubic added (#117)
* ResizeBicubic added
Some fixes.

* Test fixed

* Narrowed argument type changed to boolean

* Clean up
2019-12-09 18:25:39 +11:00
Alex Black b66154a9d4
Add ArraySavingListener for debugging (#114)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-09 14:16:11 +11:00
raver119 b32dd1bf92
[WIP] resize_bicubic types (#116)
* resize_bicubic: allow more dtypes

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* resize_bicubic: allow less dtypes

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* Refactored resize_bicubic op to full conform with TF1.5 and tests.

* Corrected test to proper data type output.

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* Corrected double input test to float constant outputs.

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* Finished with correction of tests for bicubic interpolated resizes expected.

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* Fixed adjust_contrast ops to allow non-RGB inputs.

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* Refactored adjust_contrast_v2 to conform with TF one.

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* AdjustContrast tests activated

* two typos fixed

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2019-12-06 18:58:37 +03:00
raver119 972fae60dc
Update master (#8511)
* cleaned up bert iterator tests (#110)

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

* Various pre-release fixes (#111)

* Various fixes

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

* Fix default dtypes for MaxPoolWithArgmax

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* Small pre-release tweak (#112)

* Log UI address on launch as in previous Play-based UI

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* Logging level tweak for UI

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* http not https

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* datavec python ensure host (#113)

* ensure host

* one more host ensure

* info->debug

* [WIP] reverse improvements (#115)

* initial commit

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* reverse draft

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* reverse kernel

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* reverse kernel

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* 2 micro fixes

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* Shugeo resize fix5 (#102)

* Refactored resize images ops to use TF-like bool args as input.

* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.

* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.

* Refactored nearest_neighbor resize op.

* Added a pair of tests for special case of resize_bilinear algorithm.

* Fixed issue with resize_bilinear op.

* Refactored cpu implementation for helpers with resize_nearest_neighbor op.

* Final fixed for resize ops to conform TF v.1.5

* Refactored cuda helpers for resize_neares_neighbor op.

* Fixed resize_bilinear to accept proper data.

* Fixed issue with non-float input for resize_bilinear op.

* Refactored cuda helper for resize_bilinear to proper process non-float inputs.

* Added tests for resize_bilinear to int inputs.

* Fixed ResizeBilinear wrapper

* Tests fixed

* Fixed float and bool constant to avoid overflow for some kind of compilers.

* Corrected float constants with float data type.

* Added f suffix for float constants.

* Corrected float constant to avoid overflow with initializing lists.

* Corrected float initializing list with float input.

* Corrected bool constant with initalizing list.

* Corrected float and bool values with initializing lists.

* Fixed wrong constant.

* Fixed issue with 1x1 input picture for resize.

* ResizeBilinear default values on import fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-06 11:10:44 +03:00
Robert Altena e7730eded4 delete unused and refactor. (#8262)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-12-05 22:25:41 -05:00
shugeo e09a785232 Shugeo resize fix5 (#102)
* Refactored resize images ops to use TF-like bool args as input.

* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.

* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.

* Refactored nearest_neighbor resize op.

* Added a pair of tests for special case of resize_bilinear algorithm.

* Fixed issue with resize_bilinear op.

* Refactored cpu implementation for helpers with resize_nearest_neighbor op.

* Final fixed for resize ops to conform TF v.1.5

* Refactored cuda helpers for resize_neares_neighbor op.

* Fixed resize_bilinear to accept proper data.

* Fixed issue with non-float input for resize_bilinear op.

* Refactored cuda helper for resize_bilinear to proper process non-float inputs.

* Added tests for resize_bilinear to int inputs.

* Fixed ResizeBilinear wrapper

* Tests fixed

* Fixed float and bool constant to avoid overflow for some kind of compilers.

* Corrected float constants with float data type.

* Added f suffix for float constants.

* Corrected float constant to avoid overflow with initializing lists.

* Corrected float initializing list with float input.

* Corrected bool constant with initalizing list.

* Corrected float and bool values with initializing lists.

* Fixed wrong constant.

* Fixed issue with 1x1 input picture for resize.

* ResizeBilinear default values on import fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-05 22:05:33 +03:00
Alex Black 2052ce7026
Various pre-release fixes (#111)
* Various fixes

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* Fix default dtypes for MaxPoolWithArgmax

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-05 14:20:03 +11:00
Fariz Rahman 0d14032d26 TF Updates (#87)
* tf updates

* pom

* copyright

* graphrunner tests

* gpu test

* getSessionOptionsConfigProto

* dtype fix

* Small fix

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

* cast graphs

* savemodel test fix

* testresource instead of local

* Logging level

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* gson dependency issue fix; fix GraphRunnerTest for no session options config case

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* Final tweaks

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* few minor fixes

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* one more fix

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* Tweak configuration for GraphRunnerTest

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* nd4j align config

* tf warmup
2019-12-04 17:11:03 +11:00
raver119 25b3cd9b80
[WIP] CUDA tests (#95)
* one more CI test

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* export additional symbols

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* few more tweaks

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* one more tweak for linux

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* fix dtype in few tests

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* missing sync and memset in couple of tests

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* copy step for libnd4j cuda

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* no-op on empty for adjust hue/contrast/saturation

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* CUDA_VERBOSE Off

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* BroadcastBool fix + few tests

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* trigger jenkins

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* trigger jenkins

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* - ignore couple of warnings
- remove redundant compiler options

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2019-12-02 21:37:21 +03:00
Alexander Stoyakin 5e152c0d9a TF import tests - adding missing operations (#65)
* Add and fix mappings.

* Intermediate

* Added and fixed some mappings

* Added op

* Missing constructors added.

* Added new mappings

* SDImage wrappers and minor tweaks.

* Added missing constructor

* Some corrections

* Cleanup

* Small fixes

* Ops wrappers

* Minor fixes.

* Max Pooling

* MaxPoolWithArgmax

* Some fixes

* Ignores for failures

* Some ops fixed.

* Some fixes

* Missing package added

* Some fixes

* Ignored tests fixed.

* Some fixes

* Merge master

* bitcast fix

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* Bitcast fixed
2019-12-02 21:23:06 +11:00
Alex Black 8123d9fa9b
SameDiff: Add Java-level assertion check/exception (#96)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-12-02 18:07:54 +11:00
Alex Black 2be47082c9
#8470 TrainingConfig json fix for Evaluation instances (#93)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-30 20:08:30 +11:00
Alex Black 35ab4a72ba
TF import test resources loading precision fixes (#92)
* Fix precision issues when loading from CSV

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* Small tweak

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2019-11-30 18:58:37 +11:00
Alex Black 4fb9fa7748
Add ND4J namespaces (#83)
* Add NDValidation

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* Add bitwise namespace

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* Math namespace op constructor fixes

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* Constructor fixes

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* Add Math namespace

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* Update NDBitwise

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* Add random namespaces

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* Update

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* NN namespace

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* Small cleanup

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2019-11-30 18:39:32 +11:00
Yurii Shyrma d19eeaec52 Shyrma casual conv1d (#90)
* - add causal mode of padding to convolutions

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* - add additional tests for causal conv1d

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* - add causal mode for cuda conv kernels

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* Java side of Conv1D changes

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* Add Conv1DDerivative op

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* Causal Conv1D gradient checks

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* Tweaks

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* - add causal padding mode to conv2d_bp

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* More thorough causal conv1d tests

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2019-11-29 14:14:30 +03:00
Samuel Audet 5e07998e59 Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
shugeo 009007120b Shugeo_release_fixes3 (#81)
* Implementation for non_max_suppression_v3 was added. Initial version

* Added check for overcome threshold.

* Added definition for V3 method.

* java remapping for NonMaxSuppressionV3

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* Fixed proporly processing of an empty output and test.

* Refactored op to less threshold data to float.

* Implemented cuda-based helper for non_max_suppression_v3 op.

* Fixed fake_quant_with_min_max_vars op.

* Fixed tests with float numbers.

* - assert now stops execution
- sortByKey/sortByValue now have input validation

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* missing var

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* Fixed proper processing for zero max_size inputs.

* Refactored kernel callers.

* Fixed return statement for logdet op helper.

* Refactored unsorted segment SqrtN op.

* get back 8 tail bytes on CUDA

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* Refactored segment prod ops and helpers for cuda and tests.

* Additional test.

* CudaWorkspace tests updated for 8 tail bytes

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* special atomic test

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* atomicMul/atomicDiv fix for 16bit values

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* Eliminated waste prints.
2019-11-28 21:08:51 +03:00
Alex Black abd2017a0a
Add ignore for known issue with non_max_suppression_v2/float16 test (#85)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-27 16:35:05 +11:00
Alex Black 8843c7377a
Update shaded Jackson version to 2.10.1 (#82)
* Update shaded Jackson version to 2.10.1

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* Remove no longer needed scala compiler plugin from UI

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* Fix op name for BitwiseAnd op

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* TimeDistributedLayer mask array fix + test

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2019-11-26 19:24:38 +11:00
raver119 aa44fd6850 one more BitCast test
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2019-11-25 08:52:11 +03:00
Alex Black e910ce75ec
Various Fixes (#75)
* #8431 Cast loss function weights array automatically

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* Add 'regex verbose mode' printing (ExecDebugListener) for TFGraphTestAllSameDiff'

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* Class import mapping fix

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* Reshape fixes

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* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)

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2019-11-23 20:06:12 +11:00
shugeo 4187190609 Shugeo release fix2 (#70)
* Corrected input checking and tests for bitcast op.

* Fixed an issue with non_max_suppression form generation and processing with score threshold given.

* Fixed bilinear resize kernel and tests.

* push for Serhii

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* Added test for nearest_neighbor resize with int input.

* Added data type check for input/output match.

* Eliminate error in macros.

* Improved output message for type checking.

* Fixed input/output types for op.

* Eliminated waste logging.

* Refactored resize_bilinear helper for multithreading for cpu platform.

* Cosmetic changes only.

* Fixed error for string substitution.

* Skip test for cbow_batch with cuda.

* fix for resizeNearestNeighbor output dtype

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* Refactored non_max_suppression helper.

* Refactored shape generation and input handling.

* Added additional test.
2019-11-22 22:42:44 +03:00
Alex Black 4a2fedf3e7
DL4J: Add Sparse multi-class cross entropy loss function (#72)
* #8432 Add sparse mcxent loss

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* Fixes for LossSparseMCXENT

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* add simple debugging listener for SameDiff exec debugging

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* Extra gradient check + header polishing

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2019-11-22 18:54:31 +11:00
Samuel Audet ff73e6da3f ND4J: Fix OpenBLAS loading for nd4j-native (#64)
* ND4J: Fix OpenBLAS loading for nd4j-native and remove bundling of OpenMP

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>

* Bundle back libgomp.so.1 for Linux

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* Readd preload directories for ARM

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* Add back preloads for GCC on Windows

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* Add explicit preloadpaths for ARM and POWER to bundle correct library

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-21 15:54:41 +03:00
raver119 064a56ccf1
Few fixes (#66)
* skip legacy transforms execution in case of empty input arrays

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

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* java side

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* trigger jenkins

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* update LessThanOrEqual opNum mapping

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* update LessThanOrEqual opNum mapping

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2019-11-21 15:43:03 +03:00
raver119 83cb0d9329
[WIP] Create and small fix (#67)
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea

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* Create op and mapping for it

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2019-11-21 13:31:20 +03:00
raver119 3f38900c33
J9+ -> J8 ByteBuffer fix (#59)
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2019-11-20 07:43:17 +03:00
Yurii Shyrma 66b84b38cf
Shyrma mmul (#58)
* - get rid of some copy procedures in mmulHelper ops

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

* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class

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* - further work on cuda batched gamm api

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* - write own cuda kernel performing batched gemm

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* missing include in MmulHelper

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* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future

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* disable old tensordot

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* - rewrite cuda kernels for usualGemm and usualGemv

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* - profiling mmul helpers

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* - prints to check shapes were added

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* - correct type of output array Cin mmulNxN

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* - take into account possible nans in C array

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* slightly change numThreads message

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* - make corrections in accordance to given notes in pr review

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2019-11-19 15:39:36 +02:00
Alex Black da1944e8e1
SameDiff TF import (#49)
* Added implementation files for image_resize and resize_bicubic ops.

* Image resize and image.resize_bicubic ops implementation. Initial revision.

* Minor fix

* Some TF imports disabled.

* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.

* Refactored resize methods.

* Added processing for Mitchelcubic algorithm.

* adjust_contrast

* Small fix for TF import expected value loading when variable name starts with the test name

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

* Tests

* Tests added.

* Removed tf names absent in mapping.

* Some fixes.

* Small fixes

* Minor change

* Some failing tests.

* Disable failed test

* Ignore some tests

* Fix import class mapping

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* Fix float property mapping (flatbuffers)

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* Override equality function for model 'dropout'

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* Fail tests

* Failed tests ignored temporarily.

* Minor fixes

* Small fix

* Conflict resolved

* Default implementations of tensorflowName and onnxName
2019-11-19 22:44:29 +11:00
raver119 ce2ef20f96 additional reverse signatures
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2019-11-19 13:54:07 +03:00
raver119 db7ca956c5
[WIP] Mish (#55)
* Mish activation function and its derivative

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* signature fix

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* mish as activation for dl4j

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* javadoc

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* minor optimization

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2019-11-18 13:21:26 +03:00
raver119 c5cbdcd8f4
[WIP] clang for jcpp (#53)
* clang as compiler for jcpp

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* we don't need macos profile

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2019-11-17 09:45:30 +03:00
Alex Black 09a827fb6d
Fixes and pre-release QA (#51)
* #8395 Keras import - support scaled identity weight init

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* More Keras scaled weight init fixes

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* #8352 Deprecate duplicate SamplingDataSetIterator class

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* Remove /O2 optimization for faster CUDA build

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* Tweak regression test precision for CUDA

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* Fix edge cases for buffer creation

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

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* Delete debugging class

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* MKLDNN test - add proper skip for CUDA backend

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* Align WeightInitUtil with weight init classes

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

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2019-11-16 17:04:29 +11:00
raver119 1780dcc883
[WIP] Small fixes here and there (#50)
* one range test

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* few Context convenience singatures

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* one more range test

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* "range" "fix"

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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable

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* adjust_contrast now allows scale factor as variable too

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* bitcast shape tests

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* BitCast import dtype added

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* few more BitCast signatures

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2019-11-15 17:04:29 +03:00
raver119 c5b912bddf
few changes for openblas and jcpp preloads (on macos) (#46)
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-14 19:50:24 +03:00
raver119 1eb3de90d7
[WIP] Platform helpers switches (#44)
* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well

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* global platform-helpers trigger

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* few signatures renamed

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* - few new env variables to follow
- maxThreads/masterThreads differentiation

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* Javadoc update

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2019-11-14 14:35:02 +03:00
Alex Black 47d19908f4
Various fixes (#43)
* #8172 Enable DL4J MKLDNN batch norm backward pass

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* #8382 INDArray.toString() rank 1 brackets / ambiguity fix

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* #8308 Fix handful of broken links (inc. some in errors)

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* Unused dependencies, round 1

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* Unused dependencies, round 2

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* Unused dependencies, round 3

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* Small fix

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* Uniform distribution TF import fix

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2019-11-14 19:38:20 +11:00
raver119 48df1acdfb
[WIP] ThreadPool (#8)
This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
Alex Black 1d96bb9e6e
SameDiff op runtime benchmarking listener (#42)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-12 22:51:09 +11:00
Alex Black 18c01f5bdc
Add SameDiff memory reuse memory manager (array cache) (#39)
* Attention op comments

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* ArrayCacheMemoryMgr - first pass

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* Tweak array cache for use with SameDiff identity arrays

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* ArrayCacheMemoryMgr javadoc and properly get max memory

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* LRU cache policy + add tests

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* Fixes

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* Resize arrays internally if required for ArrayCacheMemoryMgr

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* Test improvement

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* Small polish

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2019-11-12 21:15:44 +11:00
AlexDBlack 0107fb10ab Merge remote-tracking branch 'konduit/master' 2019-11-08 18:11:45 +11:00
Alex Black 2f84ea666d
Uniform distribution op tweaks + 'specified output dtype' constructor (#38)
* Uniform distribution op tweaks + 'specified output dtype' constructor

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* Validation tweak

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2019-11-08 18:08:25 +11:00
Alex Black 24980efde3
Fix LogSumExp along dimension (#35)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-07 23:36:15 +11:00
Samuel Audet 73b5a508fc Update dependencies to just released JavaCPP and JavaCV 1.5.2
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-07 17:57:34 +09:00
longzhendong 52c9918c6f Testing slice and concat (#8362) 2019-11-07 14:47:37 +11:00
Alex Black df8b4e607a
SameDiff: make use of DeviceLocal configurable (#32)
* #8340 make DeviceLocal configurable

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* Small fix

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* Javadoc

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* DL4J SameDiff layers: use SingleThreadArrayHolder to avoid assigns + DeviceLocalNDArray overhead

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* Javadoc

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2019-11-06 18:52:41 +11:00
AlexDBlack 7583ccfa15 Merge
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-06 13:28:03 +11:00
Alex Black 948ebef41c
Op Fixes (#28)
* #8280 biasadd_bp nchw arg fixes (java side) + test

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* #8285 Concat op Java side fixes

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

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* ignores for deconv3d import tests until deconv3d_tf op is implemented

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2019-11-05 00:05:04 +11:00
Alex Black 4763547c9e
Add Deconv3DTF (#25)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-04 12:42:11 +11:00
Alex Black 5e312374d0
TF deconv3d import (#8341)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 22:57:24 +11:00
AlexDBlack 2844f8b69a Merge remote-tracking branch 'konduit/master' 2019-11-02 19:00:47 +11:00
Alex Black 9efd811508
Use DL4J workspaces for SameDiff layers in MLN/CG (#23)
* #8329 DL4J workspace integration for SameDiff layers

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* Fix bug for Nd4j.createUninitializedDetached for scalars (length 0 shape array)

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* SameDiff output layer, graph vertex, various fixes

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* Javadoc

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2019-11-02 17:42:01 +11:00
Alex Black d82877b18b
Various SameDiff fixes (#21)
* MKLDNN LSTM forward implementation (disabled pending #8331)

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* #8318 add SameDiff.calculateGradientsAndOutputs

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* Disable mkldnn backprop for now - pending fix, issue #8335

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* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement

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* Small FlatBuffers serde fix, UInt8

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* #8135 ImagePreProcessingScaler - add segmentation support

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* #8319 Ensure listeners are called when they are supposed to be called

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* #8214 UNet (non-pretrained) last conv layer kernal size fix

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2019-11-02 11:25:53 +11:00
Alexander Stoyakin b816845797
Fixing nd4j-cuda build (#20)
* Roll back recent fix to restore build.

* Fix compilation.

* presets updated

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2019-11-01 15:59:29 +02:00
Alexander Stoyakin 45a40c8a89
DL4J/ND4J: Do pass on integer casts (#15)
* Int cast fixes.

* Revert "Int cast fixes."

This reverts commit aa36e8ca

* Int casts

* Int cast

* Int casts

* Get rid of int casts. Dropping deprecated aggregate ops.

* java scatterUpdate changes

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* c++ scatterUpdate changes

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* Remove aggregated ops.

* Restored test

* Tests restored.

* Minor fixes
2019-10-31 11:23:09 +02:00
raver119 5a4d2e8b31
[WIP] SVD (#16)
* - new SVD constructor
- OrthogonalDistribution now uses SVD custom op

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* shapes fixed

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2019-10-28 12:31:01 +03:00
Yurii Shyrma 029a69a835
Shyrma bn mkl bp (#14)
* - write code for new batchnorm backprop

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

* - testing batchnorm backprop

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

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* - testing and fixing bugs in batchnorm_bp mkl dnn

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* - made corrections required by reviewer

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* - change name in java wrapper for batchnorm op

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2019-10-26 14:14:21 +03:00
Alex Black d333d29099
SameDiff cleanup and fixes (#12)
* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution

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* SameDiff API cleanup

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* More SameDiff cleanup

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* Small fixes

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* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour

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* #8252 TanhDerivative javadoc

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* #8225 Deconvolution2D input validation

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* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'

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* #8224 SameDiff.zero and .one create constants, not variables

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* More cleanup and fixes

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* Small test fix

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* Small fix

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* DL4J SameDiff fixes

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* Re-add hack for Deconvolution2DLayer until #8315 is resolved

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* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property

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* All ND4J init logging checks system property

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* Small tweak

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* Remove redundant device logging

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* One more fix

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* UX improvements

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* Deconv fix

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* Add deconv tests

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* Cleanup

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* Remove debug code

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2019-10-26 12:38:08 +11:00
Alex Black 730442ae21
Remove bad import (#13)
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2019-10-24 20:51:15 +11:00
Alex Black 3f0b4a2d4c
SameDiff execution, TF and memory management overhaul (#10)
* SameDiff execution memory management improvements, round 1

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* Round 2

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* Round 3

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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs

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* Next steps

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* Next step

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* Cleanup

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* More polish

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* Fix

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* Add WeakIdentityHashmap

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* Session fixes for control ops and next steps

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* More fixes

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* Fixes

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* First steps for training session + in-line updating

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* Next steps

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* Fix losses and history during training

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* More fixes

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* BiasAdd and other fixes

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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)

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* Small fix

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* Cleanup

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* First steps for new dependency tracking approach

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* Start integrating dependency tracking for memory management

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* Non-control op dependency tracking works/passes

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* Switch/merge

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* Next steps

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* Cleanup and next steps

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* Small fixes

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* Fix issue dependency tracking for initial variables/constants

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* Add check for aliases when determining if safe to close array

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* First pass on new TF graph import class

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* Import fixes, op fixes

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* Cleanup and fixes for new TF import mapper

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* More cleanup

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* Partial implementation of new dependency tracker

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* Next steps

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* AbstractDependencyTracker for shared code

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* Overhaul SameDiff graph execution (dependency tracking)

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* More fixes, cleanup, next steps

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* Ad no-op memory manager, cleanup, fixes

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* Fix switch dependency tracking

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* INDArray.toString: no exception on closed arrays, just note closed

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* Fix enter and exit dependency tracking

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* TensorArray memory management fixes

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* Add unique ID for INDArray instances

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* Fix memory management for NextIteration outputs in multi-iteration loops

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* Remove (now unnecessary) special case handling for nested enters

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* Cleanup

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* Handle control dependencies during execution; javadoc for memory managers

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* Cleanup, polish, code comments, javadoc

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* Cleanup and more javadoc

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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released

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* Clean up arrays waiting on unexecuted ops at the end of execution

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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames

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* Fix order of operation issues for dependency tracker

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* Always clear op fields after execution to avoid leaks or unintended array reuse

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* Small fixes

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* Re-implement dtype conversion

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* Fix for control dependencies execution (dependency tracking)

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* Fix TF import overrides and filtering

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* Fix for constant enter array dependency tracking

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* DL4J Fixes

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* More DL4J fixes

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* Cleanup and polish

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* More polish and javadoc

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* More logging level tweaks, small DL4J fix

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* Small fix to DL4J SameDiffLayer

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* Fix empty array deserialization, add extra deserialization checks

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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests

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* Variable control dependencies serialization fix

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* Fix issue with removing inputs for ops

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* FlatBuffers NDArray deserialization fix

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* FlatBuffers NDArray deserialization fix

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* Small fix

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* Small fix

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* Final cleanup/polish

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2019-10-23 21:19:50 +11:00
Alexander Stoyakin f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
KDTree optimization
2019-10-23 12:11:25 +03:00
Alexander Stoyakin 9e5799847a TF names fixed. 2019-10-16 19:50:18 +03:00
Alexander Stoyakin 502bedf5d5 Register ops for TF import. 2019-10-16 19:39:04 +03:00
Alexander Stoyakin ec722b20ee TF names added 2019-10-16 19:29:19 +03:00
Alexander Stoyakin 99d77e1384 Ops exported for sameDiff 2019-10-16 19:16:47 +03:00
Alexander Stoyakin d5002b14c7 New ops wrappers 2019-10-16 12:59:08 +03:00
Alex Black b9a4b0f25f
Update links (#8292)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-16 12:59:52 +11:00
Robert Altena 50b13fadc8 nd4j-api cleanup. (#8273)
* nd4j-api cleanup.

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

* restore deleted schemes.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-10-08 21:48:22 +11:00
Robert Altena 1f4ad08305 refactoring activations. (#8261)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-10-03 20:35:27 +10:00
Alex Black f98f8be7b6
SameDiff ops (#8247)
* update javadocs and a few method signatures

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

* add PRelu op

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* test and fixes

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* add PRelu op

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* test and fixes

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* slightly better test

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2019-09-19 11:52:20 +10:00
Steven Lang d58a4b45b1 Fix Nadam updater clone missing schedule (#8243)
Signed-off-by: Steven Lang <steven.lang.mz@gmail.com>
2019-09-17 22:56:49 +03:00
Robert Altena 83d958d536 Sparse matrix refactoring. (#8238)
* remove sparse method from INDArray.

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

* remove gemm

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* remove useage of n4j.sparseFactory

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* Nd4j.sparseFactory removed.

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* sparseNDArray deleted.

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* iremove more sparse calls and constants.

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* remove SparseBlasWrapper.

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* delete BaseSparseBlaswrapper.

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* remove 3 sparse factory classes.

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* delete SparseCPULevel.

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* deletes JcusparseLevel, CUDASparselevel.

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* delete nativeCPU sparse classes.

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* removes sparse methods from NDArrayFactory.

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* more deletes.

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* delete (ignored) tests. BaseSparseNDArray.

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* deletes ISparseNDArray.

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* remove sparse methods from indArray.

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* deletes sparse classes.

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2019-09-17 22:56:29 +03:00
raver119 979ef13c0b fix build issues
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-13 11:55:13 +03:00
raver119 2bd69c004c
[WIP] Fixed signatures. SameDiff tests (#258) (#8233)
* Fixed signatures. SameDiff tests

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* Tests fixed

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* Test fixed

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* Small fix

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* Fixed test

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2019-09-12 19:25:03 +03:00
AlexDBlack a66e03355e Merge remote-tracking branch 'fork/master' 2019-09-12 12:20:57 +10:00
raver119 07901ceb69 few more mkldnn dependencies removed
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2019-09-12 04:55:59 +03:00
raver119 98e2814879
Platform helpers (#8216)
* platform helpers draft

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* typo

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* disable platform cmake

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* another draft

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* mkldnn convolution refactored

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* minor tweaks

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* one more safety check

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* prototype works

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* meh

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* force static library mode for mkldnn

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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware

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* bunch of small fixes

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* declare concurrent

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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update

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* - avgpool2d_bp/maxpool2d_bp APIs update

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* - conv2d/batchnorm APIs update

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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update

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* all ops converted to MKLDNN 1.x

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* bunch of tweaks

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* namespace for platform helpers

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* make sure platform helpers aren't opimized out

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* build cpu_features on x86 systems

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* build cpu_features on x86 systems

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* more of cpu_features

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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory

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* F16C definition renamed

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* some mkldnn rearrangements

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* check supported instructions before doing anything

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* typo

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* missied impl

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* BUILD_PIC option

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* conv2d fix

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* avgpool3d fix

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* avgpool3d_bp fix

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* avgpool2d_bp leak fix

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* avgpool3d_bp leak fix

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* maxpool bp leaks fixed

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* printf removed

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* batchnorm fix

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* AVX warning/error polishing

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* Fix

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* More polish

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* Polish

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* remove previous MKL-DNN support layer

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* avx2 tweak

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* allow static for apple

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* exclude mkldnn in one more place

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* exclude mkldnn in one more place

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* restore OPENBLAS_PATH use

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* add runtime check for avx/avx2 support

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* convolution_auto

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* Add logic for helper argument

* minor test fix

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* few tweaks

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* few tweaks

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* skip OpTracker props for non-x86 builds

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* linux arm isn't x86 :)

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* avx-512

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* CUDA presets fix

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* BUILD_PIC

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* prefetchw for avx2

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* BUILD_PIC again

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2019-09-11 21:50:28 +03:00
Alex Black 3e73e9b56e
Fixes, cleanup, enable now fixed tests, etc (#254)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-11 23:37:24 +10:00
Ryan Nett 8a05ec2a97
Fix a couple SameDiff training issues (#253)
* fix execBackwards training issue

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* fix validation not specifying outputs

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* another fix for validation listeners and history

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* tests

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* add single batch dataset output methods

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2019-09-10 20:38:23 -07:00
Alex Black 4f7b35ac82
Update links to eclipse repos (#252)
* Fix repo links and clean up old github templates

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* More link updates

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2019-09-10 19:09:46 +10:00
Alex Black f91970734b
Another small fix (#251)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-10 13:14:29 +10:00
Alex Black 3fb9aecb59
Fix for null shape in SameDiff.var validation (#250)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-10 12:22:10 +10:00
Alex Black b582e69e3b
Small ND4J/SameDiff fixes (#248)
* #8218 Fix Nd4j.hstack rank 1 case

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* #8209 SameDiff: don't allow empty arrays (with 0s in shape) for variables

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2019-09-09 22:54:07 +10:00
Robert Altena c99f980513 INDArray javadoc (#246)
* javadoc

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* javadoc

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* javadoc

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* review fixes.

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2019-09-09 13:09:31 +10:00
AlexDBlack a76a44e198 Merge remote-tracking branch 'fork/master' 2019-09-05 22:04:25 +10:00
Alex Black 52d2795193
Another round of small fixes (#241)
* Small base spark test fix; ROC toString for empty ROC

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

* More fixes

Signed-off-by: Alex Black <blacka101@gmail.com>
2019-09-05 17:01:47 +10:00
Alex Black 87d873929f
Small LapackTest fix (#240)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 14:25:20 +10:00
Ryan Nett 79867f5c5a cleanup SDRNN and rnn ops (#238)
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-05 12:25:03 +10:00
Alex Black 7d85775934
Arbiter generic JSON ser/de fixes (#237)
* Arbiter generic JSON ser/de fixes

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* Javadoc fix

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2019-09-05 11:51:11 +10:00
Robert Altena f25e3e71e5 remove lengthLong (#236)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-05 11:19:38 +10:00
AlexDBlack b7226bdd7a Merge
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 00:54:11 +10:00
Alex Black 03c52ef9dd
Add SameDiff.bitwise namespace (#232)
* #8196 add SameDiff.bitwise namespace

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* Add BitsHammingDistance, add remaining bitwise ops to bitwise namespace

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* fix

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2019-09-04 22:34:31 +10:00
raver119 a90c7dd995
[WIP] Last set of changes (#234)
* mmul op instead of cublasSgemm

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* transB

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* jcpp handles

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* bitwise and/or/xor

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* bitwise and/or/xor mapping

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* cuda/cublas version check

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* add expected version

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* cuda/cublas version check in java

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* one more error check

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* build fix

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* build fix

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* build fix

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* one more fix

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* skip CUDA version check for now

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* better wording

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* few more tweaks

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* few more tweaks

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2019-09-04 14:41:08 +03:00
Ryan Nett e9454b8882
SDCNN cleanup pass (#230)
* SDCNN cleanup

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* NonNull annotations

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* better javadoc, NonNull fix for sconv

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* update builders to fix names

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* fixes

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* even more fixes

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* fix for null bias

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2019-09-04 00:44:01 -07:00
Alex Black 6cc887bee9
Rename flatbuffers DataType to DType (#228)
* Rename flatbuffers DataType enum to DType

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* Rename flatbuffers DataType enum to DType

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* Updates for flatbuffers datatype enum renaming

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2019-09-04 16:36:11 +10:00
Robert Altena 25b01f7850 javadoc and remove deprecated methods. (#231)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-04 13:29:02 +10:00
raver119 7abc574eeb
Snapshot update (#8194)
* fix double consumption of rng on cpu

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* Shyrma docs (#222)

* - documenting and profiling matrix_set_diag cuda kernel

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

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* cublasHandle sharing + lock

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* cublasHandle sharing + lock

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

* refactoring

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* Javadocs

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* Javadoc fixed

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* Cleanup

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* dedicated lock for getCudaCublasHandle

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* Small fixes (#223)

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* ELU DL4J fixes (#224)

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* javadoc (#225)

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* Small test compilation fix (#226)

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* #8182 remove spark version suffix (#227)

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* [WIP] Thread safety (#229)

* sync after cublas*gemm

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* mutex for CublasHelper

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

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* some printout

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* check for field instead

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* pew-pew

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* don't release ContextBuffers until device changed

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* small tweak

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* some logging in sgemm

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* stream sync

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* some more logging

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* some more error checks

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* one fancy test

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* one fancy test

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* minor AffinityManager fix

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* cudaEvent error logging improvement

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* ConstantHelper thread safety

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* - minor corrections in ConstantTadHelper

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* ConstantShapeHelper thread safety

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* ConstantTadHelper.cu updated

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* logging off

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* logging off

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2019-09-03 22:02:02 +03:00
raver119 dddc8a1143
[WIP] Thread safety (#229)
* sync after cublas*gemm

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* mutex for CublasHelper

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

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* some printout

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* check for field instead

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* pew-pew

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* don't release ContextBuffers until device changed

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* small tweak

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* some logging in sgemm

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* stream sync

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* some more logging

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* some more error checks

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* one fancy test

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* one fancy test

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* minor AffinityManager fix

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* cudaEvent error logging improvement

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* ConstantHelper thread safety

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* - minor corrections in ConstantTadHelper

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* ConstantShapeHelper thread safety

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* ConstantTadHelper.cu updated

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* logging off

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* logging off

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2019-09-03 22:00:38 +03:00
Robert Altena c64b340975 javadoc (#225)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-03 14:06:42 +10:00
Alex Black 364a6e1a2a
ELU DL4J fixes (#224)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-03 13:35:02 +10:00
raver119 d3253aff3f dedicated lock for getCudaCublasHandle
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2019-09-02 20:01:13 +03:00
raver119 2129d5bcac cublasHandle sharing + lock
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2019-09-02 16:52:28 +03:00
raver119 18828f9725 cublasHandle sharing + lock
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2019-09-02 16:52:10 +03:00
AlexDBlack 7ded4416cb Merge remote-tracking branch 'fork/master' 2019-09-02 18:52:12 +10:00
Alex Black 82c9dc5743
ELU fix (#219)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 18:37:05 +10:00
Alex Black 65c9f2a888
ELU fix (#217)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 17:42:12 +10:00
Ryan Nett b3a134b608 New Nd4j backprop ops for activations (#211)
* new (for java at least) backprop ops

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

* update activation functions

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

* add differential functions for SameDiff

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

* deprecate old ops

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

* update correct old ops

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

* update ops backprop to use new ops

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

* misc updates for deprecated functions (mostly Nd4j.rand w/ vararg shape)

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

* remove old imports

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-02 16:15:23 +10:00
Robert Altena 6d04d30c94 INDArray.java javadoc (#215)
* javadoc

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* javadoc

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-02 16:06:20 +10:00
Robert Altena ef1de6a4aa rcorbish #8617 (#8188)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-01 07:17:36 +03:00
raver119 b71c993ded
[WIP] maxpool_bp cuda fix (#212)
* one test for alex

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* fix

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* get rid of safety offset in cpp

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* bfloat16

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* minor test rearrangement to fastpath launch

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

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-31 20:57:05 +03:00
Alex Black 6efffb727f
Import fix (#208)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-30 23:40:52 +10:00
Alex Black a7dca9fc87
Add java op class for relu derivative, and use in Activation ReLU (#207)
* Add java op class for relu derivative, and use in ACtivation ReLU

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* Fix

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2019-08-30 23:36:00 +10:00
raver119 70a9ae5068
[WIP] few tweaks (#206)
* scatter empty check

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* scatter empty test

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* one more test

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* two tweaks

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* dup tweak

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

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* minor tests fix

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* minor tests fix

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2019-08-30 16:32:01 +03:00
Robert Altena 54e320a255 javadoc (#201)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-30 22:40:27 +10:00