* initial set of include changes
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* one more tweak
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* few more rearrangements
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* few more rearrangements
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* few more rearrangements
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* cuda includes rearrangements
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* java update
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* = namespace changed to sd
- few CMake variables renamed with SD_ prefix
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* java update
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* LoopKind minor fix
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* few more changes
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* few more changes
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* few more changes
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* sanitizer is optional now
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* dev tests updated
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* few more changes
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* last update
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* java update
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* #8565 Normalizer toString/hashcode
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* #8731 ImagePreProcessingScaler lables/segmentation fix
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* #8691 Fix SameDiffLayer/Vertx finetuning and parameter setting support
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* #8663 DL4J embedding layer weight init - don't depend on vocab size
Signed-off-by: Alex Black <blacka101@gmail.com>
* EmbeddingLayer test tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* libnd4j cast loop types
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* libnd4j more type castination added to loops
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* libnd4j sync casting types of iterated variable in loops
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* libnd4j more loops reviewed for vectorization problem fix
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* libnd4j fixed several typos
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j several more files reviewed to fix auto-vectorization problem in loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j merge master and reviewed more files to fix auto-vectorization problem in loops
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* libnd4j several type casting added in broadcasting that were missed, fixed mac builds
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* libnd4j double check all files and fix several more places in loops
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* libnd4j fixed builds
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* libnd4j revert changes for lup.cpp
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* libnd4j more files reviewed for auto-vectorization problem fix
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* libnd4j cast loop types
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j more type castination added to loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j sync casting types of iterated variable in loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j more loops reviewed for vectorization problem fix
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed several typos
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* libnd4j several more files reviewed to fix auto-vectorization problem in loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j merge master and reviewed more files to fix auto-vectorization problem in loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j several type casting added in broadcasting that were missed, fixed mac builds
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j double check all files and fix several more places in loops
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* libnd4j fixed builds
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* libnd4j revert changes for lup.cpp
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* libnd4j moved split operation implementation to helpers before special case adding
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* libnd4j minor fixes for general split operation move, merge master
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* libndj4 split cpu implementation
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* - provide cuda helper for split op
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* - minor correction
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* - minor correction 2
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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
* libnd4j raw implementation of native broadcast for special cases
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* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
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* libnd4j added 3D and 5D cases support and tests, need testing with different orders
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* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
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* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
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* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
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* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
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* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
* - profiling of concat op (both cuda and cpu)
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* better comparison for large concat
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* - further improving of concat op
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* some loggin
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* - add possibility to verify presence of trailing unities in shape and set strides/ews correspondingly
- restrict second simple case in concat op to c order only
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* - move concat op to specials_single.cpp file
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* - get rid of second concat op declaration in transforms.cpp file
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* static increments in loops
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* specials and concat split into separate units
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* - profiling gather op for aurora
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* - include contiguous memcpy in gather op
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* - provide matmul code based on mkl api
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* - correct typo in mkl matmul op
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* - take into account empty arrays in mkl matmul op
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* - fix bug in mkl matmul and group all matmul tests in one file
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* Test spam reduction
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* Arbiter bad import fixes
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* Small spark test tweak
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* Arbiter test log spam reduction
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* More test spam reduction
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* broadcast as scalar edge case
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* missing return
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* few fixes
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* one more fix
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* no need for lambdas
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* - provide contiguous strides for ouput in transpose op
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* - provide contiguous strides for output in permute op
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* - take into account empty shapes properly in transpose/permute op
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* libnd4j trueBroadcast rank 3 row implementation of special case
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* libnd4j rule clarify for second special case for all tests pass
* libnd4j parallel_tad loop switch on in special case
* libnd4j more general case for special case 2, need additional testing
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* libnd4j more general case for trueBroadcast special cases added
* libnd4j minor corrections and clean up
* libnd4j one more minor fix
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* libnd4j fixed check point to support all Y common vector representations in first special case for trueBroadcast
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Co-authored-by: raver119 <raver119@gmail.com>
* Copied and pasted RegressionTest100b4.java to RegressionTest100b6.java with renamed b4->b6
* assertEquals > assertTrue for half dtype
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* Libnd4j: TensorMMul backprop op #8174, raw implementation
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* Libnd4j: TensorMMul backprop op #8174 merge master and some corrections
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* Libnd4j: TensorMMul backprop op #8174 algorithm update, need testing, sync with master
* Libnd4j: TensorMMul backprop op #8174 fixed incorrect B axes calculation
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* Libnd4j: TensorMMul backprop op #8174 optimize axes identification and fix bug of indeces overlapping, added first test. need testing with different shapes
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* Libnd4j: TensorMMul backprop op #8174 some fixes and improvements need more testing
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* Libnd4j: TensorMMul backprop op #8174 fixed order of matrix multiply
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* Libnd4j: TensorMMul backprop op #8174 fixed issue of incorrect axes definition, add tests based on TF, need additional testing for case dLdC not equal 1
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* Libnd4j: TensorMMul backprop op #8174 fixed scalar case add test
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* Libnd4j: TensorMMul backprop op #8174 fixed bp algorithm, axes definition, need some mode testing with different orders combination f,c; c,f f,f and add some checks for inputs
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* Libnd4j: TensorMMul backprop op #8174 some checks and corrections added tests, exists the problem with different input orders support A-f B-c and A-f B-f
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* Libnd4j: TensorMMul backprop op #8174 sync master
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* - correct bug in MmulHelper::tensorDot(a, b, c, axes_a, axes_b,permutForC)
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* Libnd4j: TensorMMul backprop op #8174 code clean up and refactoring
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* - add check for linspase ordered permutations in ShapeUtils::evalShapeForTensorDot
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* - provide additional code in shape::reshape stuff in order to reduce amount of allocation/copy operations during reshaping procedure
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* - further work on problem of wrong shape evaluation during permute/reshape procedures
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* - still looking for bug reason in reshape/permute stuff
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* - correct bug in transform cuda native ops
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* - correct bug in NDArray::assign
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* - remove old shape::reshape stuff
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* - add possibility to disable copy of old buffer to new buffer during reshape operation in NDArray class
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* - correct bug in tensorDot which had to do with wrong pointers assigments
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Co-authored-by: Oleh <oleg.semeniv@gmail.com>
* Gradients tests added
* Fix for Standard deviation serialization + test
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* More fixes
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* Test fixed
* Spark config driver host config for CI
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* Op validation timeout increase
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* Gradient check - fix for low probability test failure due to randomly all 0s mask
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Co-authored-by: Alex Black <blacka101@gmail.com>
* Making TypeName enum public
* Ignoring None type object for PythonExceptions
* better handling of None + test
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* Fixed a couple of issues with resize_area op.
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* Added additional test for alternate params for resize_area testing.
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* libnd4j trueBroadcast special case
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* libnd4j fix trueBroadcast special case
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* libnd4j special case of TrueBroadcastHelper
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* libnd4j trueBroadCast special case and test
* libnd4j minor changes sync with master
* libnd4j changes to TrueBroadcastHelper.hpp per require
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raver119
Alex Black
Oleh
shugeo
Alexander Stoyakin
cspriegel
Yurii Shyrma
Samuel Audet
Serhii Shepel
Abdelrauf
Shams Ul Azeem
Andrii T