* 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
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* 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
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* StringUtils for utf convertor #8613 some corrections and code clean up
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* StringUtils for utf convertor #8613 code clean up and optimize usage, need update ndarray factory before replace std usage
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* 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
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* 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
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* 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
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* 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
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* 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 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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* 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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* 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
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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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* 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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* - 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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* 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.
* Rename flatbuffers DataType enum to DType
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* Rename flatbuffers DataType enum to DType
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* Updates for flatbuffers datatype enum renaming
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* [WIP] maxpool2d_bp fix (#160)
* one test for maxpool2d_bp
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* - maxpool2d_bp cuda fix for NaNs
- streamSync after each custom op execution
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* MLN/CG: Don't swallow exceptions if a second exception occurs during workspace closing (#161)
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* Upgrade protobuf version (#162)
* First steps for protobuf version upgrade
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* Phase 2
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* Update imports to shaded protobuf
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* Version fix
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* Switch to single execution for protobuf codegen to work around plugin bug
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* Automatically delete old PB generated files after name change
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* - string NDArray flat serde impl + tests (#163)
- string NDArray equalsTo impl
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* get rid of context variable
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* lup context fix (#164)
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* initial commit
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* Added gradcheck test for dynamic_partition_bp op.
* - implementation of dilation op (cpu and cuda)
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* Fixed broadcast_dynamic_shape 1D case and tests.
* Fixed usage of default integer arguments.
* Fixed dynamic_partition_bp op and tests.
* Eliminated test with grad check for dynamic_partition_bp op.
* start working on cuda svd - porting available corresponding api from cuSOLVER library
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* provide prelu_bp
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* - provide gruCell_bp (old version ??)
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* - polishing cumsum_bp and cumprod_bp tests
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* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad
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* Fixed atomicMul with float input/output
* implementation of cuda kernel for triu_bp operation
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* Refactored lup helper to add parrallel computing.
* cusolver libraries
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* uncomment cuSolver APIs in svd.cu
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* cusolver var
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* - further work on cuSolver svd
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* Implement usage of cuda solver to LUP decomposition.
* - correct naames in lup functions
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* correct svdQR cuda
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* - provide transpositions of input matrices in case of c order in svdCudaQR
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* Fixed implementation issues with LUP usign cuda solver.
* Implementation of matrix_determinant helper with cuda kernels. Working revision.
* Implemented log_matrix_determinant helper with cuda kernels.
* - implementation of batched cuda svd
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* Refactored cholesky helper and implementation of cuda solver cholesky batch.
* - implementation of cuda kernel for tile bp
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* Implementation of cholesky and logdet with cuda kernels.
* - implementation of cuda kernel for sru_bidirectional
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* Fixed cholesky helper.
* Cholesky op helper implementation. Working double-based cublas implementation.
* bad import excluded
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* Finished with cuda implementation of cholesky helper and tests.
* - implementation of cuda kernel for sru_bidirectional_backprop operation
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* Implementation of matrix_inverse op helper with cuda kernels. The first revision.
* - start working on gruCell_bp
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* Implementation of matrix_inverse helper.
* - further work on new gruCell_bp
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* cuBLAS related fixes
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* calculateOutputShapes() now passes device buffers as well
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* special concat/average/accumulate init host pointers now
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* few more tweaks
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* additional CudaDataBufferFactory signatures certain for data types
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* cuSolver host buffer
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* buffer to buffer memcpy host ptr allocation
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