Commit Graph

422 Commits (0d8b2d65cd76a5d5edfb34abcee2ae395704b08d)

Author SHA1 Message Date
Abdelrauf bead656feb
Initial performance improvement for Bias Add and etc #8556 (#217)
* Initial  performance improvement for Bias Add, loop coords helpers and increment aligned parallel threading

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

* One more test for Rauf

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

* disable couple of perf tests

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-02-08 15:31:30 +03:00
raver119 a0da5a9e47
Events removed from Java (#219)
* replace mutex with lock_guards

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

* Events ditched from Java CUDA logic

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-07 12:34:55 +03:00
Yurii Shyrma 948646b32d
Shyrma mkl test (#211)
* - provide nhwc format in mkl conv ops

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

* - corrections in mkl conv3d

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

* - corrections in mkl batchnorm

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

* - corrections in mkl maxpooling2d

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

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

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

* - complete corrections in mkl conv ops

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

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

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

* - take into account order f in mkl conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-06 21:12:54 +03:00
shugeo 5ae40f6e38
Shugeo sequence mask fix2 (#216)
* Fixed sequence_mask op and tests.

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

* Cuda fix for sequence_mask op.

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

* Fixed sequence_mask op for both platforms and tests.

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

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

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

* Added adjoint solve test again.

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

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

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

* Added a pair tests for triangular_solve

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

* Added tests for triangular_solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>
2020-02-06 21:06:50 +03:00
raver119 5d28e6143d
OpContext handling (#214)
* nano tweaks

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

* OpContext tweaks

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* OpContext deallocators

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* get rid of few mkldnn safety checks

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* databuffer setSpecial fix

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2020-02-05 07:27:24 +03:00
shugeo 41ff907bc6
Shugeo solve linear (#191)
* linear equations systems solve op. Initial commit.

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

* Fixed compiling issues.

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

* Linear equations systems solve. The next stage commit.

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

* Added test for linear equations systems solve operation.

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

* Added additional test and fixed lower matrix retrievance.

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

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
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
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
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
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
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
Signed-off-by: raver119 <raver119@gmail.com>
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
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
shugeo 2717b25931 Shugeo qr (#153)
* Added qr op implementation. Initial version.

* Fixed doc for qr op.

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

* Implementation of QR decomposition. CPU platform version.

* Added a pair of tests for qr op testing.

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

* QR implementation.

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

* Corrected norm using.

* Properly calculated intermediate results with QR decomposition.

* Another step to implement QR algorithm by householder.

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

* Corrected test to QR decomposition.

* Added tad multithreading with QR implementation.

* Finished cpu implementation for QR decomposition helpers.

* Refactored tests and improved multithreading.

* Refactored QR cpu implementation and update cuda implementation helpers.

* Cuda QR helper implementation. The first working edition.

* Eliminated waste prints.

* Restore multithreading with cuda implementation.

* Ops names corrected

* Refactored qr op helpers to optimize.

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

* Eliminated waste manual ticking.

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

* Refactored memory allocation to avoid waste memory usage.

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

* Refactored matrixMinor method both for cuda and cpu platforms.

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

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

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

* Refactored temporary array of matricies.

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

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

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

* Fixed compilation issues.

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

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

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

* Added cpu implementation for triangular_solve helpers.

* Added tests and implementation for upper triangular equations.

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

* Added a pair of cases to tests.

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

* Added multithreading with cpu helpers for triangular_solve op.

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

* Added cuda implementation of triangular_solve op helpers.

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

* Finished cuda implementation of triangular_solve helpers and tests.

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

* Fixed copyright marks.

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

* Corrected grammar errors with doc and error messages.

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

* Refactored matricies processing with triangular_solve cuda helper implementation.

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

* Added triangular_solve wrapper

* Fixed mapping

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

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

* Added implementation for adjoint routine with cuda platform.

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* Added multithreading with adjoint routine for cpu platform.

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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.

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* Corrected resizeArea functor call.

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* Implementation of resize_area. Cpu platform helpers.

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* Implementation for resize_area helpers. The first part revision.

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* Added a set of tests for resize_area op.

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* Cuda implementation for resize_area. Initial approach.

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* Adding multithreading for resize_area algorithm.

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* Cuda implementation of resize_area helpers. Shared memory approach.

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* Refactored resizeAreaKernel with cuda implementation.

* Eliminated compilation errors.

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

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* Added test for batched resize_area op testing.

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* Implementation of resize_are for cuda platform and tests.

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* Fixed multithreading with resize_area op helper.

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* Corrected copyright marks with sources.

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* Corrected copyright mark for resize_area op implementation.

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* Corrected copyright mark for parity ops header.

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

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* Refactored resize_area helpers and multithreading.

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* Added ResizeArea wrapper

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

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* Added test

* TF mapping for ResizeArea

* Fixed implementation issues with resize_area op for both platforms.

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

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* Improved multithreading with resizeAreaKernel launch.

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

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

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* one file

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* few more includes

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* m?

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* const

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* cudnn linkage in tests

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* culibos

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* static reminder

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* platform engine tag

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* HAVE_CUDNN moved to config.h.in

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* include

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* include

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* skip cudnn handle creation if there's not cudnn

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* meh

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* target device in context

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* platform engines

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* platform engines

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* allow multiple -h args

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* allow multiple -h args

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* move mkldnn out of CPU block

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* link to mkldnn on cuda

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* less prints

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* minor tweaks

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* next step

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* conv2d NCHW draft

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* conv2d biasAdd

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* test for MKL/CUDNN combined use

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

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

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

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* - implementation of conv2d backprop op based on cudnn api

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

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

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

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* - implementation of batchnorm ff op based on cudnn api

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* - disable cudnn batchnorm temporary

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* - add minor change in cmake

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* engine for depthwise mkldnn

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* couple of includes

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

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* lgamma fix

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* - eliminate memory leak in two tests

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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-20 21:32:46 +03:00
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

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

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* 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.

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* Lgamma wrapper

* Added TF mapping

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

* - minor corrections in deconv3d

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* - remove unnecessary time test

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* - update mkl dnn version in cmake

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* - take into account several notes given by pr reviewer

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* - fix bug in depthwise conv2d op based on mkl

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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)
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2020-01-11 00:14:20 +03:00
Oleh 2404be5fe0 Oleh multinomial (#163)
* libnd4j: Multinomial op #8570 first raw step of multinomial random data generator implementation

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

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

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

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

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

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

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

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

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

* libnd4j: Multinomial op fix in test

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

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* libnd4j: Multinomial op fixed indexing on uniform calculation

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* libnd4j: Multinomial op some corrections in max min declaration

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

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

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

* libnd4j: Multinomial op corrected tests to handle different orders

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* libnd4j: Multinomial op some improvements after code review

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

* libnd4j: Multinomial op more corrections after review

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

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

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

* libnd4j: Multinomial op minor corrections

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

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

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-01-06 22:35:05 +03:00
raver119@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
raver119 451d9d57fd
shape function override (#161)
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2020-01-04 09:06:44 +03:00
Alex Black 29104083cc
Various fixes (#143)
* #8568 ArrayUtil optimization

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* #6171 Keras ReLU and ELU support

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* Keras softmax layer import

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* #8549 Webjars dependency management

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

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* BiasAdd: fix default data format for TF import

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* Update zoo test ignores

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* #8509 SameDiff Listener API - provide frame + iteration

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* #8520 ND4J Environment

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* Deconv3d

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* Deconv3d fixes + gradient check

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* Conv3d fixes + deconv3d DType test

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* Fix issue with deconv3d gradinet check weight init

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* #8579 Fix BaseCudaDataBuffer constructor fix for UINT16

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* DataType.isNumerical() returns false for BOOL type

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* #8504 Reduce Spark log spam for tests

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* Clean up DL4J gradient check test spam

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* More Gradient check spam reduction

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* SameDiff test spam reduction

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* Fixes for FlatBuffers mapping

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* SameDiff log spam cleanup

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* Tests should extend BaseNd4jTest

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* Remove debug line in c++ op

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* ND4J test spam cleanup

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* DL4J test spam reduction

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* More Dl4J and datavec test spam cleanup

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* Fix for bad conv3d test

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* Additional test

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

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* Trigger CI

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

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* Test fixes and timeout increases

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* Timeouts and PReLU fixes

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* Restore libnd4j build threads arg for CUDA build

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

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* More timeout fixes

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* More test timeout fixes

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* Tweak timeout for one more test

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* Final tweaks

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* One more ignore

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2020-01-04 13:45:07 +11:00
raver119 ac0d249f07
build fix for clang (#159)
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2020-01-03 15:17:06 +03:00
shugeo fbf7c9d38b Fixed lu for cuda platform and tests. (#158)
Signed-off-by: shugeo <sgazeos@gmail.com>
2020-01-02 23:25:41 +03:00
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
raver119 9b329d2601
[WIP] bias_add NHWC loop (#149)
* one more test

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* one more test

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* one more test

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* bias_add nhwc 4D

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* disable test

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

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

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

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* libnd4j: RgbToYuv and YuvToRgb minor corrections

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

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* one special test

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* local memory for concat

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* fixed grid size for concat

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* fixed grid size for concat

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* test commented out

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

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* CUDA impl for RgbToYiq and YiqToRgb

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* remove print

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* allow inplace for hsv,rgb,yiq ops

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

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* - polishing bfloat16 and float16 member functions template specialization

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

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

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

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* float16/bfloat16 tweaks

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* one more tweak

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* - make float16 and bfloat16 to compile successfully on cuda

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

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* - get rid of pointers in signatures NDArray methods 1

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* - correction of signature of NDArray::dup method

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* - correction of signature of NDArray::reduceAlongDimension method

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

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

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

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* - signature correction of NDArray::allTensorsAlongDimension

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* - signature correction of NDArray::reduceAlongDimension 2

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* - signature correction of NDArray::applyTransform 2

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* - signature correction of NDArray::applyPairwiseTransform 2

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* - signature correction of NDArray::applyBroadcast 2

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* - signature correction of NDArray::applyTrueBroadcast 2

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* - signature correction of NDArray::applyScalar and applyScalarArr

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* - signature correction of NDArray::lambda methods

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* - signature correction of NDArray::reduce3 methods 2

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

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* - signature correction of NDArray::tileToShape methods

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* - signature correction of NDArray::isShapeSameStrict method

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* minor corrections in tests

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* - replace reduce op in batchnorm mkldnn

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

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* - corrections of casts in float16/bfloat16

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

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

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* - avoid available bug in svd cuda API

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

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* - remove test with blfoat16 type for betainC

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* - resolve conflicts after master has been merged in

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* - changed type of affected input array in fused_batch_norm

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* - add several explicit type castings

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* - add ND4J_EXPORT to operators

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

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* - one more test fix

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Co-authored-by: raver119 <raver119@gmail.com>
2019-12-20 22:35:39 +03:00
raver119 3e0afadea1 minor build fix
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2019-12-20 21:11:18 +03:00
Oleh 211c0df76f Oleh rgb to gray scale (#138)
* libnd4j: RgbToGrayscale op #8536 - raw implementation in user branch, need checks for integration and adding other orders

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

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

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

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

* libnd4j: RgbToGrayscale op #8536 imlementation and conflict resolve

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

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

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

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

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

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

* - minor corrections in rgbToGrs test1

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

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

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

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

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

* - add cuda kernel for rgbToGrs op

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

* - fix linkage errors

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

* Added implementation of helpers with lu op.

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

* Refactored LU decomposition to use vector of permutations instead.

* Refactored helpers for lu op.

* Fixed crash with determinant op.

* Refactored cpu LU op heleper.

* Added implementation for lu op.

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

* Fixed issue with argmax on column.

* Added multithreaded behaviour for lu op helper.

* Fixed multithreaded cpu implementation helpers for lu op.

* Added cuda implementation for lu op helper.

* Finished lu helper implementation for cuda platform.

* Eliminated waste prints and comments.

* Fixed race condition and multithreading issues.

* Fixed memory leak with shape construction.

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

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

* Improved test for adjust_constast op.

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

* Fixed issues with cuda implementation of resize_bicubic helpers.

Signed-off-by: shugeo <sgazeos@gmail.com>
2019-12-20 17:56:28 +03:00
Abdelrauf 3c9a2a5cd9 Fix for hsv and rgb ranges (#136)
Signed-off-by: Abdelrauf <rauf@konduit.ai>
2019-12-20 08:48:30 +03:00
raver119 43e118de1e maxThreads -> maxMasterThreads
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2019-12-19 18:41:27 +03:00
raver119 8b877a8ddf
- 3d loops parallelism fix (#135)
- additional check for maxMasterThreads <= maxThreads

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2019-12-19 16:50:08 +03:00
shugeo e303c06042 Shugeo pad fix3 (#132)
* Expanding allowed paddings type to 64bit ints also.

* Extended to int64 paddins data types for mirror_pad op.

Signed-off-by: shugeo <sgazeos@gmail.com>
2019-12-19 13:14:02 +03:00
shugeo fc7c6d4e82 Shugeo roll fix3 (#127)
* Added tests for roll with scalar shift and axis.

* Fixed problem with roll on 1D input with scalar axis and test.

* Only cosmetic changes.
2019-12-19 13:10:06 +03:00
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-

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

* 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.

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

* Fixed multithreading with resize_bicubic helper for cpu platform.

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

* 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
Abdelrauf e0a9cb6c08 [WIP] HSV,RGB color model conversions (#125)
* CUDA implementation for hsv_to_rgb and rgb_to_hsv

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* hsv_to_rgb and rgb_to_hsv operations
Test coverage: c order 1d, 2d, 3d array

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* Index check

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* Suppress Msvc floating point errors

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* Added Index Check for adjust_saturation and adjust_hue

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* minor fix

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* Fixes missed Msvc floating narrowing errors

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2019-12-17 09:42:09 +03:00
raver119 bd4f77c652 Compilation units (#124)
* IndexReduce and Reduce3 split into few units

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* IndexReductionLoops split as well

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* reduce_float split as well

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2019-12-14 21:59:37 +02:00
raver119 fdda0221ed
[WIP] CUDA build (#109)
* working prototype of new CUDA build with cmake

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* get rid of older stuff

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* remove legacy CUDA debug section

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* fPIC for GCC

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* - switch to /MD
- make MSVC runtime lib configurable from 1 place

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* few last tweaks

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* mae static library optional

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* typo fixed

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2019-12-14 14:38:17 +03:00
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
Yurii Shyrma 425c747330 - permute threadsPerBlock and blocksPerGrid in signature of launching of cuda kernel for trueBroadcast op (#120)
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2019-12-09 20:08:36 +03:00
raver119 fc334ff47a Merge remote-tracking branch 'origin/master' 2019-12-09 11:17:31 +03:00
raver119 ee5d25caa9 cuda broadcast exec fix
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2019-12-09 11:17:16 +03:00
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
raver119 cea68c18f1 cuda broadcast fix
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2019-12-09 09:27:50 +03:00
raver119 ae7933a428 cpu truebroadcast fix
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2019-12-09 08:01:12 +03:00
raver119 70e08c3a6c reshape validation fix
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2019-12-06 21:19:33 +03:00
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

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2019-12-06 11:10:44 +03:00
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

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2019-12-05 22:05:33 +03:00
raver119 6a3c046ffd 2 micro fixes
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2019-12-05 20:44:11 +03:00
raver119 355c6b6096
[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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2019-12-05 20:03:10 +03:00
Samuel Audet e51e6ebfd2 Update CMake toolchains for more recent versions of Android NDK (#8502) 2019-12-05 12:46:01 +02:00
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
Alex Black 578a5abb68 DNNL/MKLDNN dilated causal conv1d + betainc (#103)
* - add padding calculation in same mode in causal conv1d op for right mkl paddings

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

* - correct causal condition in mkldnnUtils.cpp

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* - correct some code which caused additional round errors is betainc op

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* - put float in place of template parameter in nan assign in betainc op

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2019-12-04 14:50:17 +03:00
raver119 cb18d3d996
allow MKL-DNN on non-AVX machines (#104)
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2019-12-04 09:11:37 +03:00
shugeo 190575196c Refactored pad and mirror_pad ops to conform with TF. (#100) 2019-12-03 15:06:38 +03:00
raver119 d8339246d9 fix typo in test
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2019-12-03 10:23:19 +03:00
Yurii Shyrma 1f5e15b541 Shyrma adjust (#98)
* - add possibility of passing scalar-array as input parameter for scale factor in adjust hue/contrast/saturation ops
- correct typo in function which calculates regularized incomplete beta integral

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* - fix bug in betainc cuda kernel

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* - start working on implementation of digamma function

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* - further work on digamma function (cpu)

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* - testing and fixing bugs in digamma op

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* - make correction n cuda kernel for polyGamma

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* - remove unnecessary stuff from betaInc cuda kernel

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

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

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* - correct padding calculation in mkl dnn conv1d causal

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* restore empty check in adjust_contrast_v2

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2019-12-03 09:40:45 +03:00
shugeo 1e9ff114aa Shugeo atomic tests (#97)
* Added atomic tests for atomicAdd, atomicSub and atomicDiv.

* Fixed atomicAdd for 16bit ints.

* Fixed atomicMul for 16 floats.

* Eliminated waste prints.

* Fixed problems with double type on matrix inverse helepers.

* Eliminated commented wrong code.

* Refactored atomicMul for 16bit types.

* few more minor tweaks

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* Fixed fake_quant_with_min_max_vars_per_channel args processing.
2019-12-02 21:40:54 +03:00
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
raver119 4ada65b384
[WIP] MSVC-related tests fixes (#88)
* fix narrowing down cast

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* trigger jenkins

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* - few more tweaks
- tensormmul dtype validation

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* - few more tweaks
- batched gemm dtype validation

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* - few more tweaks

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* - few more tweaks

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* - few more tweaks

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* - few more tweaks

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2019-11-30 16:02:07 +03:00
shugeo dc66a52bc7 [WIP] Shugeo release fixes4 (#91)
* Fixed fake_quant_with_min_max_vars op.

* Refactored bitcast op.

* bad linspace removed

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* Corrected tests for bitcast op.

* Eliminated debug prints.

* one fix

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* one fix

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* Added a pair of comments.
2019-11-29 16:05:08 +03:00
Yurii Shyrma d19eeaec52 Shyrma casual conv1d (#90)
* - add causal mode of padding to convolutions

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

* - 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

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

* - add causal padding mode to conv2d_bp

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* More thorough causal conv1d tests

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

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

* 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
Yurii Shyrma a8dd6713aa Shyrma scatter (#84)
* - improve performance of scatter (no lock) ops for 1D case

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

* - improve scatter lock op performance for 1D case

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* - add kernel for verification of input indices-array elements in scatter and scatter_nd ops

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* - provide fast indices checking on cpu side for scatter and gather osp

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* - apply corrections requested by pr reviewer

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2019-11-26 20:29:09 +03:00
raver119 7f90930e7a bring back cuda cc 30
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2019-11-25 09:17:35 +03:00
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
Yurii Shyrma 7a90a31cfb
Shyrma deconv3 (#69)
* - profiling cuda kernels for vol2col and im2col

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* - correct addBias helper

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* - correct mkl dilation formula and switch off mkl api for dilation deconvolutions

Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-21 21:17:30 +02:00
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
shugeo dc0036f2c6
Shugeo image resize bicubic (#56)
* Added implementation files for image_resize and resize_bicubic ops.

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

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

* Refactored resize methods.

* Added processing for Mitchelcubic algorithm.

* Added check for input/output sizes.

* Added int and float types for crop_and_resize op.

* Refactored crop_and_resize output type check.

* Added helper for bicubic interpolation as TF v.1 does.

* Added TF v.1 bicubic helper for cuda platform.

* Added cached class for bicubic algorithm.

* Refactored cuda implementation for crop_and_resize helper to use proper output type.

* Added facilities for bicubic interpolation.

* Portion bicubic interpolation from TF.

* Added tests for resize_bilinear testing.

* Working implementation of bicubic interpolation and tests.

* Refactored routines with image_resize bicubic op helper.

* Refactored code with coding standards.

* Refactored cpu helpers for resize_bicubic op.

* Refactored bicubic helpers.

* Added bicubic resize facilities.

* Implementing cuda kernels for bicubic interpolation. Implementation step.

* Cuda implementation of resize_bicubic op helper.

* Refactor image.resize_bicubic op helpers.

* Refactored helpers for resize_bicubic. Added error checking with cuda implementation.

* Refactored cuda implementation of resize_bicubic op helper. The first working revision.

* Cuda arch implementation for resize_bicubic op helper. Full working single-threaded revision.

* Intermediate bicubic interpolation helper for cuda.

* Refactored cpu helper for resize_bicubic.

* Multithreaded cuda implementation for resize_bicubic.

* Fixed merge issues.

* Refactored nlp helpers.

* Replicated resize_bicubic for 3D also.

* Eliminated waste comments of unused code.

* Eliminated waste comments with unused code.

* Eliminated waste template definitions.

* Eliminated waste debug code.

* Eliminated waste comments.

* Fixed multithreading with helpers.

* Fixed test suites for float and double in float point input lists.

* Fixed usage of reshape with 3D/4D on resizes.

* Final fixes.

* Fixed resize_neighbor op problem.
2019-11-20 21:11:04 +02:00
shugeo 13e5c0a280
Shugeo release fix1 (#61)
* Added a pair of tests for failed ops.

* Fixed cpu helper for draw_bounding_boxes op.

* Refactored implementation of draw_bounding_boxes op to full conform with TF.

* Improved multithreading with draw_bounding_boxes op cuda helper.

* Eliminated log messages.

* Changed logging with draw_bounding_boxes op helper and tests.

* Resize_biliear with 3D input allowed.

* Refactored 3D input acception with resize_bilinear op.

* And another improvement.

* Refactored reshape of input/output for resize_bilinear.

* Improvements final.

* Finished with 3D replication for image.resize_bilinear/_nearest_neighbor.

* Added copyrights for TF code.

* Using new form of multithreading for cpu implementation.

* Fixed shape error.

* Added multithreaded with batches on crop_and_resize functor.

* Refactored multithreading with crop_and_resize and draw_bounding_boxes.
2019-11-20 13:37:48 +02:00
raver119 59e955cedc
- MKL-DNN version upgrade to 1.1.x (#62)
- MKL-DNN namespace changes to match DNNL rename

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2019-11-20 13:23:08 +03:00
raver119 7898f3c0cc
fix for is_increasing/non_decreasing ops for empty input case (#63)
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-20 11:12:15 +03:00
Yurii Shyrma 66b84b38cf
Shyrma mmul (#58)
* - get rid of some copy procedures in mmulHelper ops

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* - 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

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* 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 bbd59a3537
fake quant dtype validation fix (#60)
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2019-11-19 12:53:52 +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@gmail.com 9101a0ee15 build fix for clang
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2019-11-16 22:18:50 +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
Yurii Shyrma 62d8e0d409 - make agreement between our and mkl api dilation/padding formulas (#47)
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2019-11-14 20:21:22 +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
raver119 f05c6ee139 INLINE_LOOPS for windows
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2019-11-12 15:12:31 +03:00
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
Yurii Shyrma 0eda1e733e Shyrma bnorm bp (#41)
Batchnorm backprop mkldnn
2019-11-12 11:58:48 +03:00
raver119 cd961727bb
[WIP] perf tests (#40)
* special maxpool test

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* special maxpool test

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2019-11-11 17:45:59 +03:00
raver119 929c1dc5c7 - new NDArrayFactory scalar constructor
- minor tweak in randomuniform
- one more test

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2019-11-08 08:49:41 +03:00
raver119 51f3a1371d
[WIP] Random Uniform (#36)
* args

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* T args

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2019-11-07 17:09:47 +03:00
shugeo 679e42199a Shugeo strided slice bp fix2 (#33)
* Fixed crash and restored brocken functionality for strided slice.

* Added comments for strided_slice_bp main step.
2019-11-07 13:44:02 +03:00
raver119 4276e63054 one more test
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2019-11-07 08:49:27 +03:00
shugeo 08853c7829
Shugeo random uniform int (#30)
* Corrected randomuniform declaration.

* Refactored uniform distribution for both cuda and cpu platforms.

* Refactored uniform distribution and tests.

* Fixed type usage with indices.

* Refactored uniform distribution implementation and tests to full conform with TF implementation.

* Refactored gamma function to use type util method.

* Copyright changes and fixes with ConstantHelper.

* Added error checking on allocate cuda device memory and operations.
2019-11-06 12:49:27 +02:00
AlexDBlack 7583ccfa15 Merge
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2019-11-06 13:28:03 +11:00
Yurii Shyrma 871f3bb3e6
- add additional condition in svd helper to take into account rounding errors (#31)
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-05 17:16:17 +02:00
shugeo 9124974e3b
Fixed crash with strided_slice_bp op and tests. (#29) 2019-11-05 12:49:15 +02:00
shugeo 7b14a9f603
Gamma and Poisson distributions (#27)
* Added implementation for random_gamma op.

* Added implementation for random_poisson op and support classes.

* Added helpers for random_poisson and random_gamma ops.

* Implementation of random_poisson. The first working edition.

* Implementation of random_poisson. Parallelized working edition.

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

* Added cuda implementation for helper of poisson distribution.

* Corrected shape calculation with random_gamma and tests.

* Finished cpu implementation for gamma distribution.

* Finished cuda implementation for random_gamma op.

* Refactored cpu helpers for random_gamma and random_poisson ops.

* Refactored cuda helpers for gamma and poisson distribution.

* Refactored cuda helper for gamma distribution.

* Refactored cpu helper for random_poisson op.

* Refactored cpu helper for random_gamma op.
2019-11-04 15:42:28 +02:00
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
Yurii Shyrma 0cdb5750e0
Shyrma concat (#24)
* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case

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* - write code for deconv2d op based on mkl dnn api

* no unsafe math

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* no unsafe math

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* - get rid of e<> and p<> methods in svd helper

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* - provide mkl api support for deconvolution 3d

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* - write deconv2d_bp based on mkl api

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* - write deconv3d_bp based on mkl api

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* - testing and fixing deconv based on mkl api

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* - remove dilation form conv2d/3d mkl

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* - minor changes

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* - further corrections of deconv ops based on mkl dnn api

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* - provide deconv2d_tf based on mkl dnn api

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* - add minor corrections required by reviewer

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2019-11-03 12:37:19 +02:00
raver119 c94013f0a1 cc 52 -> 50
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2019-11-03 09:54:35 +03:00
raver119 879a06c913 few typos fixed
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2019-11-01 09:13:15 +03:00
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
shugeo 95f7ad7b94
Shugeo suppression overlaps (#9)
* Added non_max_suppression_overlaps op and tests.

* Refactored implementation of non_max_suppression_overlaps.

* Refactoring of implementation of non_max_suppression_overlaps op.

* Refactoring of implementation of non_max_suppression op.

* Fixed portion error.

* Added cuda frontends for image suppression ops.

* Eliminated crash with cuda arch on image.non_max_suppression_overlaps op.

* Improved implementation of image_suppression helper for cpu platform.

* The generic approach of non_max_suppression_overlaps op helper with cuda platform.

* Working cuda implementation of helper non_max_suppression_overlaps op.

* Eliminated waste comments.

* Improved implementations for both platforms

* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.

* Improved cuda implementation of non_max_suppression op helper.

* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.

* Improved cuda implementation of image.non_max_suppression_overlaps op helper.

* Added modifications into cuda implementation for image suppression overlaps op.

* Correct queue emulation with cuda implementation of non_max_suppression_overlaps op.

* Prefinal stage of cuda implementation of non_max_suppression_overlaps.

* Worked cuda implementation of non_max_suppresion_overlaps helper.

* Fixed return to proper thread.

* Improvements for cuda implementation of image.non_max_suppression_overlaps op helper.

* Fixed implementation issues with non_max_suppression_overlaps on cuda platform.

* Fixed skip for non_max_suppression_overlaps on cuda platform.

* Finalize implementation of image_suppression helper and tests.

* Cosmetic changes only.
2019-10-30 13:43:45 +02:00
Yurii Shyrma 029a69a835
Shyrma bn mkl bp (#14)
* - write code for new batchnorm backprop

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* - 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 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

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

* DL4J Fixes

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

* More DL4J fixes

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

* Cleanup and polish

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

* More polish and javadoc

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

* More logging level tweaks, small DL4J fix

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

* Small fix to DL4J SameDiffLayer

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

* Fix empty array deserialization, add extra deserialization checks

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

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

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

* Variable control dependencies serialization fix

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

* Fix issue with removing inputs for ops

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

* FlatBuffers NDArray deserialization fix

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

* FlatBuffers NDArray deserialization fix

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

* Small fix

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

* Small fix

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

* Final cleanup/polish

Signed-off-by: AlexDBlack <blacka101@gmail.com>
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
Yurii 8f3eaebda5 - replace condition isScalar() by condition length ==1 in some NDArray methodds
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-21 16:25:13 +03:00
Yurii 99be467f76 - minor change in recurrent.h
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-17 20:46:51 +03:00
Yurii 70bd925abd - write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api 2019-10-17 20:44:52 +03:00
Alexander Stoyakin 630bb3c9b6
Merge pull request #2 from KonduitAI/asto_ops_wrapper
[WIP] New ops wrapper
2019-10-16 20:21:50 +03:00
shugeo 3662657d5c
Merge pull request #1 from KonduitAI/shugeo_gamma
Shugeo gamma
2019-10-16 18:49:33 +03:00
shugeo 24a2b2933f Added gamma and lgamma functions. 2019-10-16 18:22:18 +03:00
Alexander Stoyakin 96a9a1a733 Fixed output from operation. 2019-10-16 18:07:52 +03:00
shugeo 7617682a46 Added declarations for igamma and igammac ops. 2019-10-16 14:45:10 +03:00
shugeo 478a0c1f97 Added igamma and igammac broadcastable ops implementations and tests. 2019-10-16 14:02:53 +03:00
shugeo 7103aca8c5 Added broadcastable IGamma and IGammac ops. 2019-10-16 13:58:32 +03:00
shugeo f90e6da97e Added nd4j_gamma, nd4j_igamma and nd4j_igammac functions. 2019-10-16 13:53:31 +03:00
shugeo df2448613e Added gamma distribution functions. 2019-10-15 20:00:07 +03:00
AlexDBlack 2d750b69e5 Merge remote-tracking branch 'konduit/master' 2019-10-14 17:21:23 +11:00
shugeo ace65355c5 Added doc for fake_quant_with_min_max* op helpers cuda implementations. 2019-10-10 18:35:28 +03:00
shugeo c890de5a7b Added doc for fake_quant_with_min_max* op helpers implementations. 2019-10-10 18:31:17 +03:00
shugeo c3f755d975 Refactored helpers both for cuda and cpu platforms. 2019-10-10 18:02:49 +03:00
shugeo a09cb5e2be Added doc for fake_quant_with_min_max_per_channel op declaration. 2019-10-10 17:13:33 +03:00
shugeo 92636b0b86 Eliminated waste operator. 2019-10-10 17:08:59 +03:00
shugeo d5b352273d Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op. Final revision. 2019-10-10 16:51:29 +03:00