raver119
ac7fb903d7
C++ rearrangements ( #485 )
...
* initial commit
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* some minor singleton changes
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* more iterations
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* more singletons updated
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* more singletons updated
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* more changes
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* CUDA updates
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* Java side update
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* one commented out test
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2020-06-06 15:26:55 +03:00
raver119
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
raver119
57210b936c
Revert "OpenMP Threads execution ( #297 )" ( #299 )
...
This reverts commit dd2043ef48
.
2020-03-09 08:22:49 +03:00
raver119
dd2043ef48
OpenMP Threads execution ( #297 )
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* omp threads backported
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* omp scalar reduce
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* timing
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* timing
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* minor tweaks
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* minor tweaks
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* namespace change
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* num_threads
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* one minor fix
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2020-03-09 08:21:44 +03:00
raver119
63fa3c2ef3
libnd4j polishing ( #273 )
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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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2020-03-02 12:49:41 +03:00
Oleh
b4575d11e9
Loops auto-vectorization problem fix ( #274 )
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* libnd4j cast loop types
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* 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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2020-02-26 21:12:19 +03:00
raver119
6de00bf75f
[WIP] Weekly update of repo ( #8390 )
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* [WIP] Fix compilation after nd4j changes (#37 )
* Fix compilation.
* Some tests fixed
* Disable tests temporarily.
* Restored test
* Tests restored.
* Test restored.
* [WIP] perf tests (#40 )
* special maxpool test
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* special maxpool test
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* Shyrma bnorm bp (#41 )
Batchnorm backprop mkldnn
* Add SameDiff memory reuse memory manager (array cache) (#39 )
* Attention op comments
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* ArrayCacheMemoryMgr - first pass
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* Tweak array cache for use with SameDiff identity arrays
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* ArrayCacheMemoryMgr javadoc and properly get max memory
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* LRU cache policy + add tests
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* Fixes
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* Resize arrays internally if required for ArrayCacheMemoryMgr
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* Test improvement
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* Small polish
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* SameDiff op runtime benchmarking listener (#42 )
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* INLINE_LOOPS for windows
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* [WIP] ThreadPool (#8 )
This PR removes OpenMP use in 95% of cases
2019-11-13 17:15:18 +03:00
raver119
589401477d
[WIP] bunch of improvements ( #257 )
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* - 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
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* - improve shape::getIndexOfffset and change its signature
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* - same as previous
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* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements
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* - minor changes in flatten
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* - add function shape::getIndexOffsetOrdered
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* - correct shape::getIndexOffsetOrdered()
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* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function
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2019-09-11 20:12:09 +03:00
raver119
df84bc7255
[WIP] More tweaks ( #173 )
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* CUDA empty reduction
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* - listdiff synchronization fix for CUDA
- listdiff test
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* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output
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2019-08-27 10:37:10 +03:00
raver119
6264530dd8
[WIP] bitwise ops ( #115 )
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* - cyclic_shift_bits + test
- shift_bits + test
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* OMP_IF replacement
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2019-08-15 11:49:50 +03:00
skymindops
b5f0ec072f
Eclipse Migration Initial Commit
2019-06-06 15:21:15 +03:00