* org.eclipse->org.nd4j
* Fix parent groupid
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* memview->bytes
* del test
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* random_shuffle test for Yurii
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* - implementation and testing random_shuffle for vector case (cpu)
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* - fix bug in random shuffle for cpu
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* - correct tests for random shuffle and improve alg when inPlace is false
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* - implementation of random shuffle algorithm for cuda
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* - split cuda random shuffle alg into separate launches of 2 kernels
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* - minor corrections in cuda concat kernel
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* Fix MergeVertex serialization for NHWC case
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* #8999 Dropout JSON field ignore
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* Added dtype formulation for poisson and gamma distributions.
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* Refactored gamma distribution generator and tests.
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* Added generator for gamma distribution when alpha (shape) between 0 and 1
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* Implemented gamma distribution for shape param less than 1 and tests.
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* Implemented gamma distributed randoms for shape (alpha) parameter greater then 1.
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* Added cuda implementation for gamma distribution.
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* Refactored cuda and cpu implementation of gamma distribution.
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* Fixed crash with default beta param with gamma distribution.
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* Fixed pow for arm arch.
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* Gamma test fixed
* Cosmetic changes only.
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* Fixed random value retrieving
* Eliminated overflow attemptions.
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* Modified random retrieving.
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* enlighted density of tests for Gamma distribution.
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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
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* get rid of culibos reference
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* typo
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* one less printf
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* one disabled test
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* Fix Yolo2OutputLayer for NHWC data format
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* ObjectDetectionRecordReader NHWC support
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* Eliminated error with resize implementation.
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* Refactored resize caller implementation.
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* Refactored image.resize op helper.
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* Added dumb implementations for missed resize methods.
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* Added resize_images op. Refactored image_resize op.
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* Refactored matrix_band_part op and test.
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* Refactored resize_images op to comply with preserve_aspect_ratio flag properly.
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* Refactored resize_images and tests for resizeArea method.
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* Refactored resize methods and test.
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* Added new methods for TF2 resize op.
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* Portion of resize algorithms from TF2
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* Added routine to process resize with given algorithm.
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* Added new image resize via scale and translate process helper.
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* Cpu implementation for V2 image resize operation helpers.
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* Added implementation for lancos5 algorithm of resize and test.
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* Added prints for span computing.
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* The first working implementation and tests for lancos5 resize.
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* Eliminated waste prints.
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* Refactored image_resize op and tests."
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* Lanczos3 resize implementation and tests.
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* Implemented bicubic resize algorithm and tests.
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* Added a couple of tests and cosmetic changes with image resize helper.
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* Added bilinear implementation for image resize.
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* Refactored bicubic algorithm and also implement area and neighbor algoritms for image resize on cpu arch.
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* Added a couple of tests for nearest neighbor and area resize.
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* Cosmetic changes for cpu implementation and added cuda implementation for resize methods.
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* Separated cuda implementation of v2 image resize.
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* Added kernels for span calculation and span gathering with new image resize cuda implementation.
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* Refactored cuda implementation of image resize kernels.
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* Finished the first working implementation of image resize op and tests.
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* Fixed resize_images and image_resize ops.
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* Refactored shape construction and output validation.
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* Fixed test to properly initalized with float.
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* Added 3D input opotunity for resize ops.
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* Fixed test for resize_images op.
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* Fixed test and call for resize_images op.
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* Refactored image_resize op output data type handling for nearest neighbors method and tests.
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* Fixed issue with wrong resize method.
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* Added checkup for wrong resize methods for resize ops.
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* Refactored resize methods and test.
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* Added output data type validation for given resize method.
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* - ResizeMethod rearranged in order to match C++ side
- minor test fix
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* Refactored resize_images op.
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Co-authored-by: raver119@gmail.com <raver119@gmail.com>
* - disable mkldnn concat when number of input arrays > 3072
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* - get rid of loop in calculating of input arrays number
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* Add SameDiff file format ADR
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* Update 0001-SameDiff_File_Format.md
* Update
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* Timeouts and fixes
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* Increase default timeout to 90s due to slow PPC CI machines
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* Another timeout tweak
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* Svhn
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* - start working on implementation of sqrtm op
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* - improving householder procedure
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* - further polishing householder stuff
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* - polishing hh pivoting qr procedure
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* - polishing BiDiagonalUp procedure
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* - polishing householder sequence class
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* - polishing jacobi svd class
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* - polishing svd stuff 1
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* - polishing svd stuff 2
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* - implementation and testing class which performs Hessenberg decomposition of square matrix
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* - add static method to JacobiSVD class which makes the continuous Givens rotation generation algorithm
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* - implementation and testing auxiliary methods of Schur decomp class
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* some references here and there
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* - trying figure out difference between eigen and our Schur alg
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* - testing fixing bugs in Schur decomposition op
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* - start to implement class which performs calculation of eigen values and vectors
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* - add to EigenValsAndVecs method which calculates complex eigen vectors
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* - testing and fixing bugs in EigenValsAndVecs class
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* - implementation and testing triangularSolver class
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* Added a 2D routine for triangular systems solve.
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* Refactored triangularSolve2D routine and tests.
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* Refactored another test for triangularSolve2D.
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* Refactored test for triangularSolve for vector-bar case.
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* Refactored triangularSolve2D routine and tests.
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* - implementation of FullPivLU class
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* - fix bugs in FullPivLU::solve method
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* - correct permutation vector in FullPivLU::solve
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* - correct include headers
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* - implementation of Sqrtm class
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* - testing and fixing bugs in Sqrtm class
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* - include sqrtm classes to cuda folder, investigate in what places synchronization doesn't work
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* Added implementation for cuda triangularSolve2D and also refactored triangularSolve2D for cpu.
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* Eliminated waste implementations.
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* - make offset calculation faster in t<> methods
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* - rename refference T& NDArray::t<> method
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* - further work on cuda sqrtm
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* - provide correct synchronization to device in Sqrtm class
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* - add tests for sqrtm op
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* - correct fails which appeared while testing on jenkins
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* - trying to find out mistake in svd::deflation method
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* Revert "- trying to find out mistake in svd::deflation method"
This reverts commit 19d37baddbc509028e4bc67bc932fe7449becdb6.
* Revert "- trying to find out mistake in svd::deflation method"
This reverts commit 19d37baddbc509028e4bc67bc932fe7449becdb6.
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* - change call semantic of r<> and t<> methods
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* - ged rid of ambiguity in * operator overloads for windows buikd
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* - get rid of ambiguity in * operator overloads for windows build 2
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* - get rid of ambiguity in * operator overloads for windows build 3
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* - resolve conflicts with master
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* cmakelists updated
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* - minor fix in merge cpu helper - make use of reference getter
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Co-authored-by: shugeo <sgazeos@gmail.com>
* error code check in CudaMemoryManager
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* clear
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* clear model before exiting
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* MultiLayerNetwork/ComputationGraph.close() [WIP] (#460)
* MultiLayerNetwork/ComputationGraph.close()
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* Copyright header
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* Fix
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* - fix for handling release of nested DataBuffers
- couple of additional tests for released DataBuffers
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* PW test: increase number of epochs slightly
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* - numPrefixBlocks fix for threshold_encoding
- temparrays pointers fixed
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* auto configuration of memory workspace for gradients sharing
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* limit sparse encoding message size
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* one more workspace test
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* one more CUDA-specific test
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* one more CUDA-specific workspace test
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* one more CUDA-specific workspace test
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* one more CUDA-specific workspace test
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* add separate host/device reset for circular workspace mode
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* new PW builder method for encoder memory amount
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* "inplace" execution for threshold encoding
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* Remove debug line from KerasConvolution2D
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* Remove more debug lines
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Fariz Rahman
raver119
Yurii Shyrma
Alex Black
Paul Dubs
shugeo
Abdelrauf
Serhii Shepel
Alexandre Boulanger
Andrii T