* - profiling of stack and unstack ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fix bug in cpu concat op
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* - correction of cuda stack and unstack
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* - change shape.h method which operates with unity dimensions strides
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* - rearrange stack tests
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* - correct evaluation of smallest stride for moving through contiguous axis
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* - forgot to update signature of function strideOverContigAxis in cuda concat and split ops
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* - remove ShapeUtils::shapeAsString method applied before input arrays validations
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* - further removing of ShapeUtils::shapeAsString
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* - take sub-array shapeIndo/offset calculation out of NDArray class
- add possibility of contiguous memory copy in execTransformAny op if opNum == assign
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* - correct test_empty_scatter_2 in EmptyTests.cpp
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* - profiling of slice op
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* - get rid of contiguous memcpy for some cases in concat and split ops
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* - forgot to declare oid nd4j::SpecialMethods<T>::splitCpuGeneric
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* - correct typo in calculation of threads in cuda split op
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* - forgot to correct another set of threads variables in split cuda ops
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* - further conflicts resolving
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* 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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* 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
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* libnd4j several more files reviewed to fix auto-vectorization problem in loops
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* 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
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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
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* libnd4j several more files reviewed to fix auto-vectorization problem in loops
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* 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 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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* 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: 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>
* 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
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* 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
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* StringUtils for utf convertor #8613 merge master and sync with server
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* StringUtils for utf convertor #8613 some correction for string cast, need print check only asci support
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* 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
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* StringUtils for utf convertor #8613 fixed cuda build and test, refactoring and void* added to some functions
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* StringUtils for utf convertor #8613 void* integration, removed copy operation, refactoring, added tests for NDArray string constructors, etc
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* StringUtils for utf convertor #8613 several more fixes, improvements and updates
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* StringUtils for utf convertor #8613 master merge, code clean up and optimization before review
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* StringUtils for utf convertor #8613 minor fixes string element size define
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* StringUtils for utf convertor #8613 revert last changes as mistake
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* 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
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* StringUtils for utf convertor #8613 windows builds fix, as "sting" is not treated as utf8
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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
* 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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* - 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
Signed-off-by: Yurii <iuriish@yahoo.com>
* - changed type of affected input array in fused_batch_norm
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add several explicit type castings
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add ND4J_EXPORT to operators
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add explicit template types in instantiations of template arithm operators of NDArray class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - one more test fix
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
* IndexReduce and Reduce3 split into few units
Signed-off-by: raver119 <raver119@gmail.com>
* IndexReductionLoops split as well
Signed-off-by: raver119 <raver119@gmail.com>
* reduce_float split as well
Signed-off-by: raver119 <raver119@gmail.com>
* - 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
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add kernel for verification of input indices-array elements in scatter and scatter_nd ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide fast indices checking on cpu side for scatter and gather osp
Signed-off-by: Yurii <iuriish@yahoo.com>
* - apply corrections requested by pr reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* - profiling cuda kernels for vol2col and im2col
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct addBias helper
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct mkl dilation formula and switch off mkl api for dilation deconvolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of some copy procedures in mmulHelper ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on cuda batched gamm api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write own cuda kernel performing batched gemm
Signed-off-by: Yurii <iuriish@yahoo.com>
* missing include in MmulHelper
Signed-off-by: raver119 <raver119@gmail.com>
* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future
Signed-off-by: Yurii <iuriish@yahoo.com>
* disable old tensordot
Signed-off-by: raver119 <raver119@gmail.com>
* - rewrite cuda kernels for usualGemm and usualGemv
Signed-off-by: Yurii <iuriish@yahoo.com>
* - profiling mmul helpers
Signed-off-by: Yurii <iuriish@yahoo.com>
* - prints to check shapes were added
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct type of output array Cin mmulNxN
Signed-off-by: Yurii <iuriish@yahoo.com>
* - take into account possible nans in C array
Signed-off-by: Yurii <iuriish@yahoo.com>
* slightly change numThreads message
Signed-off-by: raver119 <raver119@gmail.com>
* - make corrections in accordance to given notes in pr review
Signed-off-by: Yurii <iuriish@yahoo.com>
* 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.
* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for deconv2d op based on mkl dnn api
* no unsafe math
Signed-off-by: raver119 <raver119@gmail.com>
* no unsafe math
Signed-off-by: raver119 <raver119@gmail.com>
* - get rid of e<> and p<> methods in svd helper
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide mkl api support for deconvolution 3d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write deconv2d_bp based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write deconv3d_bp based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing deconv based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove dilation form conv2d/3d mkl
Signed-off-by: Yurii <iuriish@yahoo.com>
* - minor changes
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further corrections of deconv ops based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide deconv2d_tf based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add minor corrections required by reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for new batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for batchnorm backprop based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing bugs in batchnorm_bp mkl dnn
Signed-off-by: Yurii <iuriish@yahoo.com>
* - made corrections required by reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* - change name in java wrapper for batchnorm op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide correct call NDArray::applyBroadcast inside of NDArray::applyTrueBroadcast
Signed-off-by: Yurii <yurii@skymind.io>
* - provide new trueBroadcast helper
Signed-off-by: Yurii <yurii@skymind.io>
* example for yurii
Signed-off-by: raver119 <raver119@gmail.com>
* - provide new trueBroadcast helper for cpu
Signed-off-by: Yurii <yurii@skymind.io>
* - start working on new trueBroadcat helper for cuda
Signed-off-by: Yurii <yurii@skymind.io>
* - further work on trueBroadcast for cuda
Signed-off-by: Yurii <yurii@skymind.io>
* - fix bugs in cuda helper trueBroadcast
Signed-off-by: Yurii <yurii@skymind.io>
* - profiling bias_add op
- add some docementation
Signed-off-by: Yurii <yurii@skymind.io>
* - minor change
Signed-off-by: Yurii <yurii@skymind.io>
* - provide addBias cuda kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - improve shape::getIndexOfffset and change its signature
Signed-off-by: Yurii <yurii@skymind.io>
* - same as previous
Signed-off-by: Yurii <yurii@skymind.io>
* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements
Signed-off-by: Yurii <yurii@skymind.io>
* - minor changes in flatten
Signed-off-by: Yurii <shyrma@skymind.io>
* - add function shape::getIndexOffsetOrdered
Signed-off-by: Yurii <shyrma@skymind.io>
* - correct shape::getIndexOffsetOrdered()
Signed-off-by: Yurii <shyrma@skymind.io>
* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function
Signed-off-by: Yurii <shyrma@skymind.io>
raver119
Yurii Shyrma
Oleh
shugeo
Abdelrauf
Alexander Stoyakin
Alex Black