Commit Graph

1105 Commits (1e85126d78c98011d4aeabbb7f840dca8a8e1522)

Author SHA1 Message Date
shugeo 41ff907bc6
Shugeo solve linear (#191)
* linear equations systems solve op. Initial commit.

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

* Fixed compiling issues.

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

* Linear equations systems solve. The next stage commit.

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

* Added test for linear equations systems solve operation.

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

* Added additional test and fixed lower matrix retrievance.

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

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

* Refactored permutation generation.

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

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

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

* Finished cuda implementation for solve op helpers.

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

* Refactored cpu helpers for solve op.

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

* Fix gtest output on Windows

* Fixed issue with permutation matrix for cuda implementation.

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

* Fixed issue with permutation matrix for cpu implementation.

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

* Eliminated waste comments.

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

* LinearSolve added

* Mapping added

* Javadoc added

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

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

* Added a test for solve op.

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

* Solve test added

* Fix for TF import

Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-02-04 08:59:11 +03:00
Alex Black 57d5eb473b
Fixes for global pooling + masking with different mask datatypes (#212)
* Fixes for global pooling + masking with different mask datatypes

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

* Global pooling backprop dtype fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-02-04 15:38:06 +11:00
Alexandre Boulanger 20e3039f2e
RL4J: Change frame skipping logic (#8596)
* Added isSkipped() to Observation

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Changed refacInitMdp to use isSkipped()

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Changed getHistoryProcessor()

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Fixed getEpochCounter() incorrectly changed to getCurrentEpochStep() calls

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>

* Removed StepCountable

Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com>

* Fix build

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

* Fixed a problem in QLearningDiscrete and another in CartpoleNative

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Update versions of JavaCPP Presets for NumPy, MKL, Gym, and TensorFlow

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

* RL4J: Add ability to set a random seed for GymEnv

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

Co-authored-by: Samuel Audet <samuel.audet@gmail.com>
2020-02-04 12:23:39 +09:00
Alex Black ddf70ac450
Avoid double printing of start/stop test in a few cases (#210)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-02-03 22:18:01 +11:00
raver119 9bb5798cac
Null arrays fix (#208)
* don't skip null arrays

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

* one test tweak

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-02 23:14:00 +03:00
raver119 81efa5c3b6
[WIP] one small fix (#207)
* one small fix

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

* assert added

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

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

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

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

* Test runtime reduction

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-02-01 18:19:36 +11:00
Oleh d52e67209e
Oleh convert (#200)
* StringUtils for utf convertor raw implementation of all possible combinations, need to be add counter of bytes per symbol for any type and add api to call convertors and store data

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

* StringUtils for utf convertor more corrections to support convertors

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

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

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

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

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

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

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

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

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

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

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

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

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

* StringUtils for utf convertor #8613 some fixes and tets

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

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

* StringUtils for utf convertor #8613 fix linking bug

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* - avoid ambiguity of NDArray ctrs overloading in some tests

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-31 16:30:49 +03:00
raver119 00cd61f32d roll back flatbuffers version
Signed-off-by: raver119 <raver119@gmail.com>
2020-01-31 15:57:55 +03:00
raver119 1ab86d1306
Range op data type (#204)
* - range op now accepts dargs
- dargs now can be in signature

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

* 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
Abdelrauf d39ca6d488
ElementWiseStride==1 cases for legacy random ops (#202)
Signed-off-by: AbdelRauf <rauf@konduit.ai>
2020-01-31 08:57:31 +03:00
raver119 5d98cfcf47
Configurable DataType for ops (#201)
* initial commit

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

* - 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

Signed-off-by: raver119 <raver119@gmail.com>
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
Abdelrauf f25056363b auto-vectorization check for gcc (#172)
* Autovectorization tool:
- sync output for gnu make
- Reduced html output
- links for line numbers
- AutoVectorization.md
Signed-off-by: AbdelRauf <rauf@konduit.ai>

* Detailed report with `-fsave-optimization-record` option
Signed-off-by: AbdelRauf <rauf@konduit.ai>

* Readme

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-01-28 19:00:12 +03:00
Yurii Shyrma 7a7ee4b021 Shyrma cudnn (#192)
* - implementation of cudnn batchnorm_bp op

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

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

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

* - move pooling mkl code and delete some unnecessary files

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

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

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

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

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

* - provide ff step in case of cudnn maxpool3d_bp op

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

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

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

* - bring back cudaStreamSynchronize in batchnorm and pooling cudnn ops

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-01-28 18:23:07 +03:00
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

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

* temp commit

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

* remove unwanted synchronization

Signed-off-by: raver119 <raver119@gmail.com>
2020-01-28 10:55:06 +03:00
Alex Black 7a20324105
Merge pull request #8647 from KonduitAI/master
Update for packages
2020-01-28 15:44:27 +11:00
raver119 7ef0ef907e
Packages fix (#193)
* packages fix

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

* few imports fixed

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

* few imports fixed

Signed-off-by: raver119 <raver119@gmail.com>
2020-01-27 23:04:21 +03:00
Alex Black a97c10a0fe
Merge pull request #8642 from KonduitAI/master
Update
2020-01-27 23:01:29 +11:00
Samuel Audet bfe1d96140 Update versions of JavaCPP Presets for MKL and NumPy (#190) 2020-01-27 14:37:06 +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
AlexDBlack 03a1859d0a Merge remote-tracking branch 'eclipse/master' 2020-01-27 16:05:58 +11:00
Alex Black 95db34e389
Eclipse -> Konduit update (#188)
* Update Japanese translation for Deeplearning4J UI (#8525)

Signed-off-by: k-tamura <ktamura.biz.80@gmail.com>

* RL4J: Remove processing done on observations in Policy & Async (#8471)

* Removed processing from Policy.play() and fixed missing resets

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Adjusted unit test to check if DQNs have been reset

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Fixed a couple of problems, added and updated unit tests

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Removed processing from AsyncThreadDiscrete

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Fixed a few problems

Signed-off-by: unknown <aboulang2002@yahoo.com>

* python version bump

* increase

* RL4J: Replace gym-java-client with JavaCPP (#8595)

* RL4J: Replace gym-java-client with JavaCPP

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

Co-authored-by: Kohei Tamura <ktamura.biz.80@gmail.com>
Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com>
Co-authored-by: Max Pumperla <max.pumperla@googlemail.com>
Co-authored-by: Samuel Audet <samuel.audet@gmail.com>
2020-01-27 16:03:00 +11:00
Alex Black 97c7dd2c94
Merge pull request #8641 from KonduitAI/master
Update Eclipse master from working repo
2020-01-27 16:01:20 +11:00
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

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

* 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

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

* 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>
Co-authored-by: raver119 <raver119@gmail.com>
2020-01-24 22:35:00 +03:00
shugeo 99a54829c2 Shugeo resize area fix2 (#181)
* Added test for issue with resize_area op.

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

* Added a pair of tests for resize_are op.

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

* Refactored resize_area kernel to avoid shared memory overflow.

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

* Eliminated prints with tests.

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

* ignore bad test

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

* Fixed test with resize_area.

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

* Fixed test for float constants.

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-01-24 20:55:25 +03:00
raver119 f14e4beeb5 missing countOut for GPU
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2020-01-24 15:37:24 +03:00
raver119 99cfb88933 two tests fixes
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2020-01-24 15:26:46 +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

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

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

* 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

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

* 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

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

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

* QR implementation.

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

* Corrected norm using.

* Properly calculated intermediate results with QR decomposition.

* Another step to implement QR algorithm by householder.

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

* Corrected test to QR decomposition.

* Added tad multithreading with QR implementation.

* Finished cpu implementation for QR decomposition helpers.

* Refactored tests and improved multithreading.

* Refactored QR cpu implementation and update cuda implementation helpers.

* Cuda QR helper implementation. The first working edition.

* Eliminated waste prints.

* Restore multithreading with cuda implementation.

* Ops names corrected

* Refactored qr op helpers to optimize.

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

* Eliminated waste manual ticking.

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* Refactored memory allocation to avoid waste memory usage.

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* Refactored matrixMinor method both for cuda and cpu platforms.

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

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* Refactored temporary array of matricies.

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

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

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

* Fixed compilation issues.

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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.

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

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

* Added implementation of resize_area op. Initial revision.

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

* Corrected resizeArea functor call.

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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.

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

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

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* one file

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* few more includes

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* m?

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* const

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* cudnn linkage in tests

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* culibos

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* static reminder

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* platform engine tag

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* HAVE_CUDNN moved to config.h.in

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* include

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* include

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* skip cudnn handle creation if there's not cudnn

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* meh

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* target device in context

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* platform engines

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* platform engines

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* allow multiple -h args

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* allow multiple -h args

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* move mkldnn out of CPU block

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* link to mkldnn on cuda

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* less prints

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* minor tweaks

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* next step

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* conv2d NCHW draft

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* conv2d biasAdd

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* test for MKL/CUDNN combined use

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

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

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

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

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

* - implementation of conv2d backprop op based on cudnn api

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

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

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

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

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

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

* - implementation of batchnorm ff op based on cudnn api

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

* - disable cudnn batchnorm temporary

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* - add minor change in cmake

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* engine for depthwise mkldnn

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* couple of includes

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

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* lgamma fix

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* - eliminate memory leak in two tests

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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-20 21:32:46 +03:00
Oleh 8fc0e63ce7 Oleh powderev (#171)
* Libnd4j: Add broadcastable elementwise power derivative #7461 first step of Pow_bp operation implementation

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* pow_bp wrapper

* Fixed PowBp wrapper

* Tests added

* Test fixed

* Fix return type

* Disable powBp usage

* Pow backprop changed

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-20 12:59:12 +03:00
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
Samuel Audet 9edbefdc67
RL4J: Replace gym-java-client with JavaCPP (#8595)
* RL4J: Replace gym-java-client with JavaCPP

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2020-01-20 17:13:57 +09:00
Yurii Shyrma cae5ef4180 Shyrma depthconv (#156)
* - implementation of depthwise_conv2d (both ff/bp) based on mkl dnn api

* - minor corrections in deconv3d

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

* - remove unnecessary time test

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

* - update mkl dnn version in cmake

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* - take into account several notes given by pr reviewer

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

* - fix bug in depthwise conv2d op based on mkl

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-01-11 07:36:40 +03:00
Yurii Shyrma bbf88b53dd - fix wrong calculation of elements offsets in batchnorm op when input arrays have unusual (#169)
Signed-off-by: Yurii <iuriish@yahoo.com>
2020-01-11 00:14:20 +03:00
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
Oleh 2404be5fe0 Oleh multinomial (#163)
* libnd4j: Multinomial op #8570 first raw step of multinomial random data generator implementation

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

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

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

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

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

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

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

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

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

* libnd4j: Multinomial op fix in test

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

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

* libnd4j: Multinomial op fixed indexing on uniform calculation

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

* libnd4j: Multinomial op some corrections in max min declaration

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

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

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

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

* libnd4j: Multinomial op corrected tests to handle different orders

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

* libnd4j: Multinomial op some improvements after code review

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

* libnd4j: Multinomial op more corrections after review

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

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

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

* libnd4j: Multinomial op minor corrections

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

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

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

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

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-01-06 22:35:05 +03:00
raver119@gmail.com bb86bbc255 few tests tweaked
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2020-01-06 15:55:16 +03:00
raver119 d9ef5e2467
Minor fixes (#165)
* ios-arm excluded

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* histogram single threaded

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

* additional data types & tensor type

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* next step

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* missing include

* sparse_to_dense

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* few more tests files

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* draft

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* numeric sparse_to_dense

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* comment

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* string sparse_to_dense version

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* CUDA DataBuffer expand

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* few tweaks for CUDA build

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* shape fn for string_split

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* one more comment

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* string_split indices

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* next step

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* test passes

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* few rearrangements for databuffer implementations

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* DataBuffer: move inline methods to common implementations

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* add native DataBuffer to Nd4j presets

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* DataBuffer creation

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* use DataBuffer for allocation

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* cpu databuffer as deallocatable

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* DataBuffer setters for bufers

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* couple of wrappers

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* DataBuffers being passed around

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* Bunch of ByteBuffer-related signatures gone

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

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

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* one special test

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* empty string array init

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* one more test in cpp

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* memcpy instead of databuffer swap

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* special InteropDataBuffer for front-end languages

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* few tweaks for java

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* pointer/indexer actualization

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* CustomOp returns list for inputArumgents and outputArguments instead of array

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* redundant call

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* print_variable op

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

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* one more test

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* - empty arrays handling

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* - deserialization works now

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* minor fix

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* meh

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* one more fix

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* initial cuda commit

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* print_variable message validation

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* CUDA views

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* CUDA special buffer size

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* minor update to match master changes

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

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* meh

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* - print_variable now allows print from device

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* InteropDataBuffer data type fix

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* ...

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* disable some debug messages

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* master pulled in

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* couple of new methods for DataBuffer interop

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* java side

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* offsetted constructor

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* new CUDA deallocator

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* CUDA backend torn apart

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* CUDA backend torn apart 2

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* CUDA backend torn apart 3

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

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* few more tests + few more tweaks

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* two failing tests

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* one more test

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* two failing tests pass

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* now we pass DataBuffer to legacy ops too

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* Native DataBuffer for legacy ops, Java side

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* CPU java side update

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* CUDA java side update

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* no more prepare/register action on java side

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* NDArray::prepare/register use now accepts vectors

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* InteropDataBuffer now has few more convenience methods

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* java bindings update

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* tick device in NativeOps

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* Corrected usage of OpaqueBuffer for tests.

* Corrected usage of OpaqueBuffer for java tests.

* NativeOpsTests fixes.

* print_variable now returns scalar

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* one more test

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* compat_string_split fix for CUDA

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

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* legacy ops DataBuffer migration prototype

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* ignore device shapeinfo coming from java

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* minor fix

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* minor transformAny fix

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* minor tweak for lazy host allocation

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

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* - IndexReduce CUDA dimension buffer fix

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* views for CPU and CUDA

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* less spam

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* optional memory init

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* async memset

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

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* - reduce3All fix
switch to CUDA 10 temporarily

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* CUDA version

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* proper memory deallocator registration

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* HOST_ONLY workspace allocation

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* temp commit

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* few conflicts resolved

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* few minor fixes

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* one more minor fix

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* NDArray permute should operate on JVM primitives

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

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* - addressPointer temporary moved to C++

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* CUDA: don't account offset twice

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* CUDA: DataBuffer pointer constructor updated

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* CUDA NDArray.unsafeDuplication() simplified

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* CUDA minor workspace-related fixes

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* CPU DataBuffer.reallocate()

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* print_affinity op

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* print_affinity java side

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* CUDA more tweaks for data locality

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* - compat_string_split tweak
- CudaUtf8Buffer update

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* INDArray.close() mechanic restored

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* one more test fixed

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

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* one last fix

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* bad import removed

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* another small fix

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* one special test

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* fix bad databuffer size

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* release primaryBuffer on replace

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* higher timeout

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* disable timeouts

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* dbCreateView now validates offset and length of a view

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* additional validation for dbExpand

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* restore timeout back again

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* smaller distribution for rng test to prevent timeouts

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

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* OpaqueDataBuffer now contains all required methods for interop

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* some javadoc

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* GC on failed allocations

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* minoe memcpu tweak

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* one more bitcast test

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

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* DataBuffer additional syncStream

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* DataBuffer additional syncStream

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* one ignored test

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* skip host alloc for empty arrays

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* ByteBuffer support is back

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* DataBuffer::memcpy minor fix

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* few minor prelu/bp tweaks

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* nullify-related fixes

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* PReLU fixes (#157)

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* Build fixed

* Fix tests

* one more ByteBuffer signature restored

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* nd4j-jdbc-hsql profiles fix

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* nd4j-jdbc-hsql profiles fix

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* PReLU weight init fix

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* Small PReLU fix

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

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* missed file

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* Small tweak

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* cuda 10.2

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* minor fix

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Co-authored-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 13:27:50 +03:00