753ce28a92
Shyrma sqrtm ( #429 )
...
* - start working on implementation of sqrtm op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - 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: raver119 <raver119@gmail.com>
Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-14 18:06:13 +03:00
320924278d
Legacy API changes ( #441 )
...
* initial commit
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* another initial commit
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* another initial commit
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* one more initial commit
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* next step
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* next step
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* next step
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* next step
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* Refactored buffer() and shapeInfo() methods usage with NDArray class.
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* Adopt Graph class methods to use const shapes.
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* Adopt choose op to use constant shapes.
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* Adopt where op shape method to use constant shapes.
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* Adopt lstsq op to use constant empty shapes.
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* Adopt matrix_diag_part op shape routine to use constant shapes.
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* Adopt determinant ops to use constant shapes.
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* Adopt mean_pairwssqerr_loss ops to use constant shapes.
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* Adopt ops shape methods.
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* Adopt shape methods for loss ops.
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* Adopt log_loss op shape method.
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* Adopt shape methods for ops.
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* Adopt dilation2d ops shape methods.
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* Adopted deconv2d ops shape methods.
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* Adopted dynamicRNN op shape method.
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* Adopted shape methods for ops.
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* Adopted shape methods for lstm layer ops.
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* few updates
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* first cuda tweak
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* Adopt constant shapes for sconv2d ops.
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* Adopt constant shapes for gru ops.
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* Adopt constant shapes with shape methods for segment ops and so on.
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* Adopted constant shapes with unsorted_segment_* ops.
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* Adopted constant shapes with gamma op shape method.
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* Adopted shape methods of reduce_stddev ops.
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* Adopted shape methods for reduce_* ops.
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* Adopt shape method for squeeze op.
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* Adopt strided_slice shape method.
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* Refactored concat op shape method to adopt constant shapes.
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* Adopted shape method for mirror_pad op.
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* Adopted split op shape method.
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* Adopted tile ops shape methods.
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* Added const cast for mkldnn routines handles.
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* Refactored logSoftMaxForVector_ routine to conform with proper data and shape pointer casts.
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* Cosmetic changes to proper usage of constant pointers.
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* Refactored a couple shape comparators for strides and addBias helpers to proper use data pointers with inplace option.
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* Refactored depthToSpace helpers.
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* Refactored histogram helpers.
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* Refactored im2col helpers.
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* Refactored gather and gatherND helpers.
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* Fixed buffer usage on percentile helper.
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* Fixed gather shape with helpers and range buffer usage.
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* Fixed buffer usage with space to depth helpers.
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* Fixed buffer usage and constant shapes.
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* Fixed buffer usage with LUP decomposition>
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* Refactored onehot_ helper.
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* Refactored pad and prefix to use constant shapes.
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* Refactoed softmax helpers.
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* Fixed space to batch helpers to use buffers properly.
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* Fixed stack and split helpers.
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* Fixed buffer usage with sparse to dense helpers.
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* Fixed buffer usage with mindistance_ helpers.
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* Fixed buffer usage with tile helper.
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* Fixed constant shape usage.
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* Fixed constant shape usage with legacy pairwise bool ops.
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* Refactored a couple of methods to adopt constant shape usage.
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* Fixed broadcasting with constant shape."
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* Fixed const usage with inplace reverse and constant shapes with legacy reduction.
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* Refactored legacy ops with const shapes.
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* Refactored sort to adopt constant shapes.
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* Corrected sort for constant shape usage.
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* Fixed constant shape usage with special methods.
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* Refactored Context to conform with constant shape usage.
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* CUDA broadcasting headers
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* pairwise/indexreduce/random headers
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* Refactored native ops to adopt constant shapes.
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* legacy reduce3/scalar headers
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* Corrected pullRow signature and tests.
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* Corrected routines to proper use of constant shapes.
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* Refactored tests to use constant shapes properly.
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* Refactored legacy ops tests to use constant shapes properly.
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* Refactored buffer usage with NDArray tests.
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* Fixed native ops tests.
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* Fixed special concat routine.
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* Fixed buffer usage with test.
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* Fixed buffer usage with a test.
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* Refactored TAD.h and tests.
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* Refactored calcStrides* routines to use constant shapes.
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* Fixed miscelaneous errors with constant shapes.
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* NativeOps const changes
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* Corrected definitions for declared functions.
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* NativeOps const changes
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* few more const changes
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* Fixed const shapes with shape routines.
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* few more const changes
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* Fixed shape method for broadcastable case.
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* few more const changes
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* xw_plus_b BP shape fn restored
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* Fixed signatures with broadcasting.
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* Repaired backprops shape methods for a set of operations.
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* Refactored broadcast bool for cuda.
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* Refactored methods for 3 args with const qualifier.
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* Fixed a couple of kernel signatures for broadcasting.
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* Fixed kernels signatures for const buffers and shapes.
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* Refactored pairwise methods to persistent buffers and shapes usage.
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* Adopt const to buffers and shapes with kernels.
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* Adopt const to buffers and shapes with scalar kernels.
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* Refactored indexreduce kernels signatures to use const buffers and shapes.
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* Refactored pairwise kernels to adopt cons shapes and buffers.
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* Refactored pairwise bool kernels to adopt cons shapes and buffers.
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* Refactored random special ops to conform with const shapes and buffers.
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* Refactored native ops to conform with const shapes and buffers under cuda platform.
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* Cosmetical changes only.
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* Fixed const shapes and buffers error.
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* Corrected start pos routine.
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* Refactored methods to conform with const shapes and buffers.
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* Refactored helpers to use proper methods instead.
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* bunch of changes
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* next bunch of changes
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* next bunch of changes
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* Fixed execScalar declaration.
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* Fixed execScalar declaration.
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* Corrected const shape cases with sort and so on.
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* Fixed const shapes for sort.
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* Refactored kernel declarations to adopt const shapes.
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* Fixed kernels declarations to adopt const shapes.
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* Corrected kernel declarations to adopt const shapes and buffers.
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* Fixed kernels declarations to adopt const shapes.
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* Fixed segment helpers kernels declarations and so on to adopt const shapes.
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* Fixed const shape usage with segment and solve helpers.
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* Fixed kernel declaration with adjustWeight helper.
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* Fixed cuda implementations for constant shape helpers.
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* Adopted const shape usage with kernels.
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* Adopted top_k kernels to use const shapes and buffers.
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* Corrected kernels declarations to adopt const shapes with helpers.
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* Refactored NDArray definitions to adopt const shapes and buffers.
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* Fixed const shapes with image suppression helpers.
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* Slight improvement with buffers.
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* Refactored buffer usage.
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* Refactored buffer usage with tests.
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* Fixed const shape usage with definitions.
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* minor updates on cpu side
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* Refactored const shape usage with ConstantDescritor and native ops with cuda platform.
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* Refactored tear and tile kernels to adopt with const shapes.
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* softmax_loop fix
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* update missing signature
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* softmax again
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* few more missing consts
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* new methods updated
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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-09 08:06:14 +03:00
58550b7c98
[WIP] Shyrma coords ( #305 )
...
* - provide faster index2coords function for cpu
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* - new faster index2coords function is introduced into cpu code
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* - replace long long coordinates with int coordinates
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* - add missed reload of coords2index function
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* - reststart jenkins
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* - rollback changes in convolutions.cu and addBias.cu
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2020-03-11 16:21:59 +03:00
63fa3c2ef3
libnd4j polishing ( #273 )
...
* 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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2020-03-02 12:49:41 +03:00
f14e4beeb5
missing countOut for GPU
...
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2020-01-24 15:37:24 +03:00
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
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>
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Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 13:27:50 +03:00
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
269d508ba5
[WIP] cross-device migrations ( #134 )
...
* two more tests fixed
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* CUDA device afinity tweaks
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* minor tweaks
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* prepareAction/registerAction for CustomOps
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* lazy allocate host bufer before relocation
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* one special test for migration in cpp
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* tests update for msvc
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* logging
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* stick to old col2im impl
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* cudaStreams reorganization
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* buffer size fix
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* c++ data migration
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* fix CropAndResize test
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* - minor improvment
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2019-08-20 18:52:41 +03:00
6ce458e949
[WIP] CUDA Java side ( #58 )
...
* one crashing test
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* stupid issue fixed
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* one fix
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* dont ensure location for empty arrays
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* few more signatures fixed
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* few tweaks for DataBuffer creation from java primitives
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* get rid of legacy im2col/col2im intercept
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* rsubi scalar array fix
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2019-07-20 23:06:25 +10:00
b5f0ec072f
Eclipse Migration Initial Commit
2019-06-06 15:21:15 +03:00
Yurii Shyrma
raver119
shugeo
skymindops