Commit Graph

13 Commits (b3e3456b89fd48513d3a807b9dc9d6b299bdad7b)

Author SHA1 Message Date
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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2020-05-09 08:06:14 +03:00
Yurii Shyrma e42b4e96c3
correct output empty shapes deducing in split op (#311)
* - correct output empty shapes deducing in split op

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* java test fixed

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* - split broadcast::exec function on individual functions corresponding to switch arg

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* - split broadcast::exec _int and _bool function on individual functions corresponding to switch arg

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2020-03-12 18:25:54 +03:00
Yurii Shyrma ebab6b6410
Shyrma broadcast2 (#309)
* - profiling broadcast ops for aurora

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* - correct loop limit type in shape::haveSameShapeAndStrides

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2020-03-11 17:58:53 +03:00
Yurii Shyrma 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
Yurii Shyrma 6aaca58506
Shyrma broadcast (#302)
* - profiling TrueBroadcastHelper

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* - further improving of TrueBroadcastHelper

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* - further profiling of broadcast op

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* - implementation of broadcastShapeHelper which inserts unities in shapes of arrays to be broadcasted

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* - provide additional method in ConstantShapeHelper class for deducing broadcast shapes with unities

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* - provide new NativeOps helpers for usual and true broadcast methods

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* enable bert profiler

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* - delete unnessesary tests

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2020-03-10 16:29:09 +03:00
raver119 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
Oleh b4575d11e9
Loops auto-vectorization problem fix (#274)
* libnd4j cast loop types

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* libnd4j more type castination added to loops

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* libnd4j sync casting types of iterated variable in loops

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* libnd4j more loops reviewed for vectorization problem fix

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* libnd4j fixed several typos

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* libnd4j several more files reviewed to fix auto-vectorization problem in loops

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* libnd4j merge master and reviewed more files to fix auto-vectorization problem in loops

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* libnd4j several type casting added in broadcasting that were missed, fixed mac builds

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* libnd4j double check all files and fix several more places in loops

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* libnd4j fixed builds

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* libnd4j revert changes for lup.cpp

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2020-02-26 21:12:19 +03:00
Oleh 0748c7e7c2
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases

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* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion

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* libnd4j added 3D and 5D cases support and tests, need testing with different orders

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* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up

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* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables

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* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master

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* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops

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* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 07:46:05 +03:00
raver119 2698fbf541
Broadcast perf improvements (#248)
* broadcast as scalar edge case

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* missing return

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* few fixes

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* one more fix

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* no need for lambdas

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2020-02-17 16:25:09 +03:00
raver119 6de00bf75f
[WIP] Weekly update of repo (#8390)
* [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

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Resize arrays internally if required for ArrayCacheMemoryMgr

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Test improvement

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Small polish

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SameDiff op runtime benchmarking listener (#42)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* INLINE_LOOPS for windows

Signed-off-by: raver119 <raver119@gmail.com>

* [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)
* - profiling bias_add op
- add some docementation

Signed-off-by: Yurii <yurii@skymind.io>

* - minor change

Signed-off-by: Yurii <yurii@skymind.io>

* - provide addBias cuda kernel

Signed-off-by: Yurii <yurii@skymind.io>

* - improve shape::getIndexOfffset and change its signature

Signed-off-by: Yurii <yurii@skymind.io>

* - same as previous

Signed-off-by: Yurii <yurii@skymind.io>

* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements

Signed-off-by: Yurii <yurii@skymind.io>

* - minor changes in flatten

Signed-off-by: Yurii <shyrma@skymind.io>

* - add function shape::getIndexOffsetOrdered

Signed-off-by: Yurii <shyrma@skymind.io>

* - correct shape::getIndexOffsetOrdered()

Signed-off-by: Yurii <shyrma@skymind.io>

* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function

Signed-off-by: Yurii <shyrma@skymind.io>
2019-09-11 20:12:09 +03:00
skymindops b5f0ec072f Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00