Commit Graph

419 Commits (16d027bb2c979bf76485742c0eb6cbd652063f2d)

Author SHA1 Message Date
raver119 f0adb6f788
[WIP] minor fixes (#447)
* couple of tests disabled

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* few syncs removed, some logging added

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* some logging added

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* some logging added

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* fix min num_threads

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* fixed wrong release function for scalarPointer

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2020-05-11 15:41:43 +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
raver119 0613485654
compression ops (#436)
* Added declarations for decode/encode_bitmap ops.

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* Added implementation for bitmap encoding/decoding ops.

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* Added helpers for encode/decode bitmap ops.

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* Refactored encodingBitmap helper.

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* threshold encode/decode skeleton

* helper skeleton

* minor import fix

* encoder shape fn & op impl

* thresholdEncode cpu impl

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* thresholdDecode cpu impl

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* Only cosmetical changes.

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* placeholder

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* Added cuda implementation for bitmap decode helper.

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* cuda thresholdEstimate

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* cuda thresholdDecode

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* next step

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* - nano cmakelist update (get rid of Clion section)
- fixed forgotten throw in AtomicTests

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* thesholdEncode cuda impl

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* Added tests for bitmap encoding/decoding ops.

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* Fixed tests for encode/decode bitmaps.

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* Refactored decode/encode helpers.

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* Fixed crashes with bitmap decode/encode helpers.

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* bitmap encode/decode CPU

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* bitmap encode/decode CUDA

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* C API removed for threshold/bitmap encode

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* EncodeBitmap/DecodeBitmap Java side

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* EncodeThreshold/DecodeThreshold Java side

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* EncodeThreshold/DecodeThreshold Java side

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* few more tests for threshold encoding

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* minor test tweak

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* two special tests

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* encodeBitmap CPU fix

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* parallel_long/parallel_double proper spans fix

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* encodeThreshold CUDA fix

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* nano fix

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* grid tweaks

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* RTX adaptation for thresholdEncode

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* don't allow threshold encoding for length < 2

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* get rid of NDArrayCompressor in EncodingHandler

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* one more minor update of EncodingHandler

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* one more minor tweak of EncodingHandler

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* - matmul allows integer data types use
- EncodingHandler boundary default value
- few tests for integer matmul

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* minor fix of CUDA bitmap encode

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* boundary changed to integer everywhere

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* boundary changed to integer everywhere

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* re-enable CUDA deallocator

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* threshold encoder fix for systems without omp

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* - encode_threshold now requires non-negative boundary
- minor tweak in EncodingHandler

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* restore parallelism in decode_bitmap

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* fall back to omp for encode_bitmap cpu

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* single time casts

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* - additional test for encode_threshold
- sync buffers to device before calling for shape function

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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-08 20:59:39 +03:00
raver119 bc8a9d1996
allocation of buffers backed by workspaces with 1 method call instead of 3 now (#420)
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2020-04-28 20:38:16 +03:00
raver119 c9d1454743
MKLDNN tweaks (#415)
* one simple test

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* fix

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* hmmmm...

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* mkl matmul skip tweaks

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* minor fix for MemoryTracker

* long shapes in matmul

* - 2 new tests for mkldnn tanh
- mkldnn isn't used for scalar tanh
2020-04-27 17:37:53 +03:00
Andrii T 58b11bfecc
Map C++ ops to Java (#392)
* MergeMaxIndex, ReverseBp, Tri, Triu and TriuBp added

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Upsamling3d draft

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* minor fix (upsampling3dBp inputDatatype.size=2)

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* polished testcases

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* matching of Upsampling3d input format according to cpp iArg

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* ops generated from codegen

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* requested changes

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* added super() for Triu

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* everything passes except TriuOp

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* Tri op dtype arg (output datatype config support) + default float32

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* Small fixes

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* temporary commit with manually edited sd/nd ops

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* Cannot use 'val' here because initializer expression does not have a representable type: Type cannot be resolved

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* all tests passed

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* few requested changes

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* Small fixes

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* Ignore reverse_bp test due to logged issue

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* Fix reverse op

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* Fix MergeMaxIndex dtype -> iarg

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2020-04-25 23:56:02 +10:00
raver119 5e779574cb
Few Workspace tweaks (#409)
* Allow to destroy workspaces on demand

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* MMAP'd workspace can't have LearningPolicy

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* throw an exception on CUDA

Signed-off-by: raver119 <raver119@gmail.com>
2020-04-23 15:50:30 +03:00
raver119 8f765c80ff
- do not use GetShortName approach for mmap on windows (#408)
- additional test for long file names on windows

Signed-off-by: raver119 <raver119@gmail.com>
2020-04-23 08:24:49 +03:00
shugeo fc3f5d4ffb
Shugeo exponential distribution infinities fix (#403)
* Fixed bound problem with Exponential distribution implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added test for Exponential distribution to avoid infinities.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a test for exponential distribution with 1M elements.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Cosmetical changes only and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Modified test and implementation for exponential_distribution op.

Signed-off-by: shugeo <sgazeos@gmail.com>

Co-authored-by: raver119 <raver119@gmail.com>
2020-04-22 12:12:00 +03:00
raver119 a10fd4524a
Fix for certain non-ews cases (#402)
* BtS/StB/StD/DtS dup for views

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

* batchnorm_bp dup for views

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

* two java tests for bad strides

Signed-off-by: raver119 <raver119@gmail.com>
2020-04-21 12:41:30 +03:00
shugeo a5db0e33be
Shugeo segment fix4 (#385)
* Added test and fixed error message for unsorted_segment_sqrt_n op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed error message for unsorted_segment_* ops when 1 segment is given.

Signed-off-by: shugeo <sgazeos@gmail.com>
2020-04-20 09:04:35 +03:00
raver119 163222e853 tick device write in RandomLauncher
Signed-off-by: raver119 <raver119@gmail.com>
2020-04-19 13:34:26 +03:00
shugeo 0eca33ad94
Shugeo cuda solver fix (#383)
* Refactored cuSolver handle usage to handle LaunchContext instance properly.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored svd solver usage with LaunchContext instance singleton.

Signed-off-by: shugeo <sgazeos@gmail.com>

* add device locks for cuSolver uses

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-04-17 16:52:08 +03:00
Andrii T 5fbb04531d
At cpp ops (#378)
* crelu op added

* crelu op added

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* crelu(bp)+transformOpValidation op

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* added ClipByAvgNorm and DepthwiseConv2DBp

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* ClipByAvgNorm passes forward check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* EmbeddingLookup draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* DepthwiseConv2DB gradient check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* EmbeddingLookup and DepthwiseConv2dBp finished + tests added

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* ImageResize draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* DepthwiseConv2DB gradient check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* ImageResize passed tests except helper::resizeFunctor:Non implemented

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* replaced ImageResizeMethods enum by codegen

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* polished checkpoint (OPValidationSuite passed and mvn install build succesfull after codegen)

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* manually merged LSTMLayerTestCases from master
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* MaximumBp added and tested

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* MergeAddBp draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* MergeMaxBp and MergeAvgBP added and tests passed

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fix

* draft LSTMLayerBp (big relative layer in gradient check)

* LSTMLayerBp check

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayerBp check v2

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* requested changes (test passes)

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayer testcases passed gradientcheck

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* small LSTMLayer testcase1 improvement (cLast, yLast)

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Warnings issue solved

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Fixes for MKLDNN LSTM layer helper

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

* stable version

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-17 15:16:14 +10:00
Oleh 3d15706ffa
Lin_space operation improve (#373)
* libnd4j update linspace op

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j #8513 update lin_space op, tests added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - minor linspace tweaks (num_elements now iArg)
- java linspace updates
- couple of additional tests for linspace

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

* roll back timeout change

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-04-16 14:53:56 +03:00
Yurii Shyrma 4247718f61
Shyrma gru bp (#377)
* - update gru ff op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - implementation and testing gru_bp op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - neglect dependencies between dLdh/dLdhLast/dLdcLast in lstmLayer backprop

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-04-16 08:09:04 +03:00
Yurii Shyrma 23e4aa99ad
Shyrma lstm layer bp (#370)
* - start working on bp for lstm

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further working on bp for lstmLayer

Signed-off-by: Yurii <iuriish@yahoo.com>

* - minor change

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 2

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 3

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 4

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 5

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 6

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 7

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 8

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 9

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide lstmLayerCell and lstmLayerCellBp as separate CUSTOM_OPs

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing and fixing lstmLayerCellBp helper

Signed-off-by: Yurii <iuriish@yahoo.com>

* - implement lstmLayerCellBp as separate op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - implement lstmLayerBp as separate op (not tested)

Signed-off-by: Yurii <iuriish@yahoo.com>

* - fixing calculations of dLdWp and dLdb in lstmLayerCellBp

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 10

Signed-off-by: Yurii <iuriish@yahoo.com>

* - fixing typo in lstmLayerTimeLoop

Signed-off-by: Yurii <iuriish@yahoo.com>

* - forgot to perform clipping of c array and calculate corresponding derivative in lstmLayerCellBp

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on bp for lstmLayer 10

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing and fixing bugs in lstmLayer_bp op 1

Signed-off-by: Yurii <iuriish@yahoo.com>

* - testing and fixing bugs in lstmLayer_bp op 2

Signed-off-by: Yurii <iuriish@yahoo.com>

* - turn off heavy tests for cuda for lstmLayer_bp op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - forgot to nullify gradients at eliminated time steps (when sequnce length array is present )

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-04-13 13:21:51 +03:00
raver119 3e2dbc65dd
MatMul for gemm/gemv calls (#365)
* libnd4j added optional alpha and beta support to matmul

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j typos fixes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j add optional alpha and beta to matmul_bp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one more typo fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added optional alpha and beta to mkl implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* MatMul alpha/beta on java side

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

* alpha/beta fix in libnd4j

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

* alpha/beta fix in matmul_bp

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

* restored view validation

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

* gemv/gemm now use MatMul op

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

* few tests fixed

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

* additional INDArray.mmul signature

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

* make C order default for INDArray.mmul, unless both A/B have F order

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

* Nd4j.gemm validation fix

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

* disable mkldnn matmul for xxf with beta != 0 case

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

* SimpleRnn workspace fix + timeouts

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

* two more tests + minor fix in matmul platform check

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

* Flaky test fixes

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

* propagate testresources profile

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

* Resources fix + flaky test fix

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

Co-authored-by: Oleg <oleg.semeniv@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-10 17:57:02 +03:00
Andrii T d86dd5b131
DL4J and SameDiff integration tests + LSTMLayer java op class (#353)
* init in this branch

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Lenetet Mnist workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* small fix for calculations

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* for Alex to check placeholder null pointer issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* CNN3D workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* state for launching on dxg to regenterate dl4j examples

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* SD RNN test case workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* small fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* checkpoint at lstmBlock: Input array 1 (x) rank must be got input with rank 2 issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Fix LSTMLayer inputs order

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* lstm mismatch with c++ op issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayer config draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayer config draft v2

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* have doubt I had to do this

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* NDRNN generated by codegen

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayerTestCases draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fixes again

* added LSTMLayer testcases to nd4j-tests + setted Preconditions in LSTMLayer constructors

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* added lost SDCNNtestcases

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* overrided getNumOutputs from DynamicCustomOp in LSTMLayer and reorganized LSTMLayerOutputs according to cpp op

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished with LSTMLayerOutputs

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Fix MKLDNN platform checks (i.e., when MKLDNN can be used vs. not)

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

* Fix LSTMLayerWeights input order

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

* More fixes

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

* minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* fixed LSTMLayer testcases

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished SameDiffRNNTestCase

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished all testcases + minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Multiple generation-related fixes

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

* Fix multiple issues

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

* More fixes

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

* LSTM fixes

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

* Regenerate ND4J namespaces and fix multiple issues

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

* changed SameDiffRNNTestCase

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Small fix

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

* added  Nd4j.getRandom().setSeed(12345) where needed

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* #8828 Fix ND4J profiler NaN/Inf checks when using OpContext

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

* #8828 Fix ND4J profiler NaN/Inf checks when using OpContext

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

* Tweak to weight init for SameDiff CNN test case

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

* Tweaks for test cases

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

* Ignore failing tests until fixed

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

* Fix

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-09 00:20:48 +10:00
raver119 04b2b4f9b6
Few fixes (#361)
* INDArray.close() fix for CPU

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

* - BroadcastableBoolOp introduced
- ConfusionMatrix now supports explicit DataType argument

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

* confusion_matrix: dtype is still optional

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

* disable bert tests in debug builds

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

* Affinity fix

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

* minor workspace tweak to allow close() on scoped out borrowed workspace

Signed-off-by: raver119 <raver119@gmail.com>
2020-04-06 21:01:59 +03:00
Yurii Shyrma 48102c61d0
- correct reshape op for empty shapes (#354)
* - correct reshape op for empty shape in case of -1 at the end

Signed-off-by: Yurii <iuriish@yahoo.com>

* Fix test + new reshape op constructor

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-01 15:13:34 +11:00
Oleh 1d004b542a
xw_plus_b mkldnn implementation (#247)
* libnd4j first step of mkldnn for xw_plus_b and test of aurora crash in imageHelper

* libnd4j sync folders with master

* libnd4j merge master, raw implementation of xw_plus_b on mkldnn, clean up, need testing and adding checks for corresponded input shapes

* libnd4j corrections and checks added to xw_plus_b mkl

* libnd4j corrected dataType description based on mkl operation description, need more investigation

* libnd4j fixe xw_blus_b mkl implementation, need testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j two unit tests added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed check input dimensions bug

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libndj4 one more test added to cover different order handling

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added optional int arg support to define weights format, if arg == 1, mkldnn (do not need transpose in mkldnn implementation), else mmul weights format, corrected check points, added unit test

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some improvements to avoid NDArray transpose in xw_plus_b operation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed issues connected with weights rank, also added support of one case based on tf (for mkldnn, cpu, cuda), test case added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added proper handling of empty inputs (all implementations)

* libnd4j fixed compilation error

* libnd4j several more corrections after conflict solve and fixed typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j removed unsupported data types

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master and fixed issues

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added propagation implementation for xw_plus_b, fixed issue connected with mkl weights data format, avoided data copy in transpose mode, test cases added, manually tested with gradCheck

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one minor fix of double operation declaration

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j code clean up

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor tests fixes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed build problem, integrate helpers changes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-31 13:03:10 +03:00
Yurii Shyrma 29e61579c1
Shyrma reshape empty (#338)
* - start working on reshape op which operates with empty shapes

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct reshaping for empty arrays

Signed-off-by: Yurii <iuriish@yahoo.com>

* - remove unnecessary check in Loopkind

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-03-31 07:41:16 +03:00
Oleh bf0ddbc06c
libnd4j fixes for context sync in operation execution (#350)
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-30 16:33:51 +03:00
Oleh e8cbf5255a
Backpropagation implementation of mergemax, mergeadd and mergeavg ops (#343)
* libnd4j: first step of merge_max implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for mergeMaxBp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some minor corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j test added for mergemax_bp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several problems tests added, check with gradCheck

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j remove duplicated tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j split implementation of transforms ops into separate file implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j code clean up, added mergeavg_bp and mergeadd_bp, need testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge master, fixed typos and added tests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some minor fixes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added helper for mergeAddBp operation, this permits to skip nullify

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j file renaming changes and cuda some corrections, need some additional corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some additional corrections for merge ops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more corrections per request for cuda more proper usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-25 08:40:30 +03:00
raver119 226f0672bc size op fixed
Signed-off-by: raver119 <raver119@gmail.com>
2020-03-23 17:02:03 +03:00
Oleh 55ec207eb8
Split convolutions implementations for compilation speed up (#339)
* libnd4j first step of convolutions implementation split

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j convolutions cuda implementation split

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j code clean up

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-03-23 07:30:26 +03:00
raver119 1f3e4c18e1
some structure for ops (#337)
Signed-off-by: raver119 <raver119@gmail.com>
2020-03-23 07:28:54 +03:00
Oleh 69c92ca5ae
Learning updaters for gradient (#335)
* libnd4j raw implementation of sgd upader

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections and simple test added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections after discussion

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j integrate applyScalar

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j raw implementation of rmsPropUpdater on cpu

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fix operations declaration

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* libnd4j rmsPropUpdater added, test cases for sgd, etc

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* libnd4j fixed several typos

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* libnd4j some fixes and improvements for rmsPropUpdater based on Java tests

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* libnd4j fixed cuda implementation, update tests and corrected behavior according java tests

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* libnd4j adaGrad updater added

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* libnd4j one minor fix for ada grad

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* libnd4j several more fixes for ada_grad

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* libnd4j nesterovs updater added

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* libnd4j fixed nesterovs updater behavior, several typos and rename file

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* libnd4j one minor typo

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* libnd4j ada max updater added

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* libnd4j fixed several typos in adaMax updater

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* libnd4j fixed several typos in adaMaxUpdater

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* libnd4j several fixes for adaMax, added Adam Updater

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* libnd4j adaDeltaUpdater added, minor fixes for adamUpdater

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* libnd4j several fixes for adaDeltaUpdater

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* libnd4j nadamUpdater added

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* libnd4j one more correction for nadam updater

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* libnd4j several fixes for nadam updater and added amsGradUpdater

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* libnd4j several typos fixed in amsGradUpdater

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* libnd4j some corrections and added f order support rmsProp updater

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* libnd4j added support of f order for all updaters and modify tests for testing in place

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* libnd4j fixed issues for updates when not in place mode used, added tests for f order

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* libnd4j added input shape checks

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* libnd4j some corrections for different cases handling

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* libnd4j some code clean up and optimize per request

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* libnd4j updaters refactoring after review

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* SgdUpdater wrapper

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* first test

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* RmsPropUpdater added

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* NadamUpdater + NesterovsUpdater

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* AmsGradUpdater

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* AdamUpdater added

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* AdaGradUpdater + AdaDeltaUpdater + AdaMaxUpdater

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* AdaGradUpdater test added

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* libnd4j remove input parameters parsing through NDArray, split implementation of helpers to separate files, added some rename, etc

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* libnd4j next step to split operations implementation into separate files

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* libnd4j merge master and minor corrections

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* libnd4j revert some changes of split implementation

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* libnd4j forgot to add header file

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* public default constructors

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* ImportClassMapping updated

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2020-03-23 07:28:31 +03:00
Alex Black 5a34ccf3d4
Remove printf in ones_as c++ op (#336)
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-20 23:50:17 +11:00
raver119 b23ebee432 - MKL-DNN version upgrade
- deviceMutex replaced for CPU

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2020-03-20 12:42:29 +03:00
Yurii Shyrma e700b59f80
Shyrma weights format (#329)
* - start to introduce additional weights formats into conv2d ops

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* - provide weights format variety in backprop conv2d and deconv2d ops, testing and fixing bugs

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* - forgot to recover kernels sizes in deconv2d_bp test

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* - built in weights format in depthwise conv 2d op

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* - provide new weights formats in mkl dnn conv ops

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* - provide new weights formats in cuda conv helpers

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* - working with new weights format in cudnn conv api

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* - take into account order of arrays in cudnn tensor descriptions

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* - provide new weights formats in cpu conv3d (ff/bp)

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* - provide new weights formats in cpu deconv3d (ff/bp)

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* - provide new weights formats in conv3d ops (ff/bp) based on mkl api

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* - provide new weights formats in conv3d ops (ff/bp) based on cudnn api

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* - resolve conflicts 2

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Co-authored-by: raver119 <raver119@gmail.com>
2020-03-20 12:11:27 +03:00
shugeo 5dae4069cf
Shugeo random expo fix2 (#295)
* Refactored exponential distribution implementation.

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* Refactored exponential distribution and tests.

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* Refactored test to new result sets.

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2020-03-20 11:33:20 +03:00
raver119 7a2ac800dd
Nullify (#304)
* initial commit

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* bunch of tweaks

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* hamming distance nullification

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* Add output array value assignment for testing/debugging

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* don't assign empty arrays

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* conv2d/conv3d/depthwise2d nullified

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* conv2d/conv3d/depthwise2d nullified

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* conv2d/conv3d/depthwise2d nullified

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* few more fixes

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* im2col

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* pooling?

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* more nullified

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* ismax nullified

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* rollback ismax nullification

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* synchronized cublas handle use on per-device basis

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* hiding method from jcpp

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* get rid of test assigns in DeclarableOp

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* get rid of assigns

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* proper deviceId is back

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* include fixed

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Co-authored-by: Alex Black <blacka101@gmail.com>
2020-03-20 08:49:28 +03:00
raver119 77244f5496
avg/max pooling3d bp fixed (#323)
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2020-03-16 18:17:42 +03:00
raver119 4cf2afad2b
benchmarks fixes (#321)
* bunch of small fixes

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* validation for legacy random op

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* get rid of test

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2020-03-16 10:31:06 +03:00
Oleh e7a995e959
Tanh backpropagation mkldnn implementation (#308)
* libnd4j first step of tanh_bp operation implementation on mkldnn

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j optimize several places and added test case for tanh_bp

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* libnd4j minor corrections and renaming, added one more test case

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* libnd4j missed mkldnn data format definition

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2020-03-13 19:01:00 +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
Oleh 41bde8f885
Softmax BP mkldnn implementation (#301)
* libnd4j mkldnn softmax_bp operation implementation and integration, 2 tests added, need some refactoring and code clean up and more testing with different input shapes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j softmax_bp update, code refactoring, etc

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* libnd4j merge master, fixed typos, minor tweaks, code clean up

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* libnd4j  integrate mkldnnUtils helpers in other mkldnn operations

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2020-03-12 18:25:29 +03:00
raver119 88f39fad67 pairwise compilation units updated
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2020-03-12 12:50:09 +03:00
Yurii Shyrma ebab6b6410
Shyrma broadcast2 (#309)
* - profiling broadcast ops for aurora

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct loop limit type in shape::haveSameShapeAndStrides

Signed-off-by: Yurii <iuriish@yahoo.com>
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
raver119 50b7d82b96 more compilation units
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2020-03-11 11:43:18 +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
Oleh c3223dbc7a
Improve ResultSet usage in libnd4j (#281)
* libnd4j profiling DeclarableOp and Tests by replacing return ResultSet pointer by instance

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* libnd4j profiling semantic change in tests cases

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* libnd4j some corrections to make new ResultSet semantic works, fixed one test

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* libnd4j more tests fixes

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* - correct copy and move assignment operators of ResultSet class

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Co-authored-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-03-10 07:42:50 +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)
* 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
Oleh ead5162c97
Tanh mkldnn implementation (#296)
* libnd4j first step of softmax mkldnn implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j raw implementation of mkldnn softmax

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* libnd4j merge master and added softmax to MklDnnTests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for softmax mkldnn

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge branch, fixed problem with negative axis, fixed dnnl::memory::format_tag selection, test cases added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor corrections to avoid risk connected with negative axis usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed windows builds, added switcher to use mkldnn sofmax version only for 3D, 4D, 5D, 6D arrays

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed dataType selection per request

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* libnd4j fix for mac and windows builds

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* libnd4j builds fix

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* libnd4j first spet of elementwize tanh implementation on mkldnn

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* libnd4j fixed typo in error message for softmax MKLDNN, test case added, implementation of tanh on MKLDNN, need supported DataType testing

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* libnd4j several fixes for tanh and temporary performance test added

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* libnd4j fixed mkldnn platform loader for tanh

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* libnd4j MklDnn tanh removed unsupported data types, removed performance test case, added more appropriate equivalence test case, code clean up

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* libnd4j fixed problem with empty input case for MklDnn tanh and softmax

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2020-03-06 17:11:22 +03:00
raver119 2911da061b
blas fallback (#291)
Signed-off-by: raver119 <raver119@gmail.com>

Co-authored-by: raver119 <raver119@gmail.com>
2020-03-05 14:11:13 +03:00
raver119 784a2d13f8
separate omp impl for softmax (#289)
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2020-03-05 11:14:22 +03:00
raver119 3bb22a6ff8
strided_slice without view (#288)
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2020-03-05 09:56:52 +03:00
raver119 ca96a13ed0 softmax as standalone compilation unit
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2020-03-05 08:45:10 +03:00
Oleh 4d81af9fe9
Softmax operation implementation for mkldnn (#286)
* libnd4j first step of softmax mkldnn implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j raw implementation of mkldnn softmax

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* libnd4j merge master and added softmax to MklDnnTests

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j some corrections for softmax mkldnn

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j merge branch, fixed problem with negative axis, fixed dnnl::memory::format_tag selection, test cases added

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor corrections to avoid risk connected with negative axis usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed windows builds, added switcher to use mkldnn sofmax version only for 3D, 4D, 5D, 6D arrays

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed dataType selection per request

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* libnd4j fix for mac and windows builds

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* libnd4j builds fix

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2020-03-04 19:36:42 +03:00
raver119 f990b2486d
simplified addBias2D for CUDA (#285)
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2020-03-04 09:50:55 +03:00
raver119 11d148a5eb get back to single-byte reads
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2020-03-04 08:14:39 +03:00
raver119 d9cfa8073f bigger reads
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2020-03-03 14:19:55 +03:00
Yurii Shyrma 78934c17ad
profiling of stack and unstack ops (#261)
* - profiling of stack and unstack ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - fix bug in cpu concat op

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* - correction of cuda stack and unstack

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* - change shape.h method which operates with unity dimensions strides

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* - rearrange stack tests

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* - correct evaluation of smallest stride for moving through contiguous axis

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* - forgot to update signature of function strideOverContigAxis in cuda concat and split ops

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* - remove ShapeUtils::shapeAsString method applied before input arrays validations

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* -  further removing of ShapeUtils::shapeAsString

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* - take sub-array shapeIndo/offset calculation out of NDArray class
- add possibility of contiguous memory copy in execTransformAny op if opNum == assign

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* - correct test_empty_scatter_2 in EmptyTests.cpp

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* - profiling of slice op

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* - get rid of contiguous memcpy for some cases in concat and split ops

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* - forgot to declare oid nd4j::SpecialMethods<T>::splitCpuGeneric

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* - correct typo in calculation of threads in cuda split op

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* - forgot to correct another set of threads variables in split cuda ops

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* - further conflicts resolving

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Co-authored-by: raver119 <raver119@gmail.com>
2020-03-03 07:32:37 +03:00
raver119 c54cdaab75
full bert graph (#282)
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2020-03-02 18:14:32 +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 f116f53d61
Loops auto-vectorization problem fix (#277)
* libnd4j cast loop types

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more type castination added to loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j sync casting types of iterated variable in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more loops reviewed for vectorization problem fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed builds

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j revert changes for lup.cpp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more files reviewed for auto-vectorization problem fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-02-28 17:04:45 +03:00
raver119 5332ace32b
better inplace exec with FastPath (#280)
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-28 12:06:30 +03:00
shugeo 330a69d4e2
Shugeo solve ls (#203)
* lstsq op. Initial commit.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Least squares linear problem solve op (lstsq). Cpu draft implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed shape routine and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added test for lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Rectification for lstsq op implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Corrected test to avoid numerical inconsistensy.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added prints for check computing.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Corrected tests to use evalueate facility instead.

Signed-off-by: shugeo <sgazeos@gmail.com>

* CPU implementation of MatrixSolveLs op and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added cuda implementation for helpers with lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored tests for lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added processing for empty inputs.

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* Merged tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored lstsq op for fast case.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed test.

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* Refactored lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed some issues with solve.

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* Fixed lstsq op to avoid erros.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added kernel for giagonal factor

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* lstsq wrapper and triangular_solve fixed

* Added proper processing empty inputs and test.

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* SequenceMask test

* Build fixed

* Added proper processing of empty inputs with solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Mapping added

* Added check of input shapes with solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a couple of tests for lstsq op and minor changes with cuda helper for one.'

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* Tests on

* Refactored test for lstsq op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed test

* Added another approach for lstsq op aka solve_ls.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Finished cpu part for solve_ls op helpers.

* Added helper for low triangular matrix inversion.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored alternate solve_ls cpu implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Removed alternate approach for solve_ls op. Added multithreading with matrix inversion.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Assert fixed

* Refactored multithreading for inverse matricies.

Signed-off-by: shugeo <sgazeos@gmail.com>

Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-02-28 11:37:26 +03:00
raver119 358c650b62 one micro fix
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-27 19:28:26 +03:00
raver119 31e3a2f7a5
transparent conversion to FastPath execution within Graph (#278)
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-27 16:10:38 +03:00
Oleh b4575d11e9
Loops auto-vectorization problem fix (#274)
* libnd4j cast loop types

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more type castination added to loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j sync casting types of iterated variable in loops

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more loops reviewed for vectorization problem fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed several typos

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed builds

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j revert changes for lup.cpp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-02-26 21:12:19 +03:00
raver119 5c806d2fb5
reshape tweak (#275)
* - expand dims tweak
- reshape memcpy

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* validation fix

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2020-02-26 14:05:32 +03:00
Oleh b686368b82
Refactoring split operation (#266)
* libnd4j moved split operation implementation to helpers before special case adding

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor fixes for general split operation move, merge master

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libndj4 split cpu implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - provide cuda helper for split op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - minor correction

Signed-off-by: Yurii <iuriish@yahoo.com>

* - minor correction 2

Signed-off-by: Yurii <iuriish@yahoo.com>

* libnd4j moved split implementation from specials to split.cpp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j update loopkind selections for 3D, 4D and 5D cases

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j removed unnecessary BUILD_SINGLE_TEMPLATE

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-02-26 10:20:39 +03:00
raver119 cf67c7165a nano fix
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-25 15:20:51 +03:00
raver119 f6442b6724
few minor tweaks (#272)
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2020-02-25 11:13:23 +03:00
raver119 241ed05c64
VariableSpace uses unordered maps as well (#270)
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2020-02-24 21:58:23 +03:00
Oleh f0706b21aa
Split operation improvement (#262)
* libnd4j moved split operation implementation to helpers before special case adding

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j minor fixes for general split operation move, merge master

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libndj4 split cpu implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - provide cuda helper for split op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - minor correction

Signed-off-by: Yurii <iuriish@yahoo.com>

* - minor correction 2

Signed-off-by: Yurii <iuriish@yahoo.com>

Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-02-24 08:22:41 +03:00
shugeo 1bb3ae4b03
Shugeo unordered map (#256)
* Refactored usage of std::map to std::unordered_map instead.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Eliminated crash with wrong ShapeDescriptor hash.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Eliminated crash with TadDescriptor hash.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored Stash hash.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored hashes.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored TadDescriptor hash and top_k mapping.

* Refactored hashes for ShapeDescriptor and TadDescriptor classes.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored hash for ConstantDescriptor and ShapeDescriptor classes.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed map using with cuda platform.

Signed-off-by: shugeo <sgazeos@gmail.com>

* - few rearrangements for hash functions
- shared openblas allowed

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* exports

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* exports

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* Stash reverted to std::map

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* Added additional test.

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* different maps for different compilers

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* missing include

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* fix the leak

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Co-authored-by: raver119 <raver119@gmail.com>
2020-02-24 07:51:01 +03:00
raver119 e78be14cc1
arm fix (#260)
* range check for scalar_int

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* no simd

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* no ops

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* cyclic shift?

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* left split

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* left split

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* rot ops unrolled templates

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* no rotl/rotr for uint64

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* no rotl/rotr for uint64 2

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* no rotl/rotr for uint64 3

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* ARM_BUILD declared

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2020-02-21 14:31:00 +03:00
Oleh 0748c7e7c2
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

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

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* 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
Yurii Shyrma f7a9190407
profiling of concat op (both cuda and cpu) (#151)
* - profiling of concat op (both cuda and cpu)

Signed-off-by: Yurii <iuriish@yahoo.com>

* better comparison for large concat

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

* - further improving of concat op

Signed-off-by: Yurii <iuriish@yahoo.com>

* some loggin

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* - add possibility to verify presence of trailing unities in shape and set strides/ews correspondingly
- restrict second simple case in concat op to c order only

Signed-off-by: Yurii <iuriish@yahoo.com>

* - move concat op to specials_single.cpp file

Signed-off-by: Yurii <iuriish@yahoo.com>

* - get rid of second concat op declaration in transforms.cpp file

Signed-off-by: Yurii <iuriish@yahoo.com>

Co-authored-by: raver119 <raver119@gmail.com>
2020-02-20 21:19:01 +03:00
raver119 215641ea9e
Minor improvements (#255)
* static increments in loops

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

* specials and concat split into separate units

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-20 11:43:26 +03:00
Yurii Shyrma c5193ecb81
Shyrma gather (#254)
* - profiling gather op for aurora

Signed-off-by: Yurii <iuriish@yahoo.com>

* - include contiguous memcpy in gather op

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-19 09:35:52 +03:00
Abdelrauf 72f9cda019
Added missing bfloat16 (#252)
Signed-off-by: AbdelRauf <rauf@konduit.ai>
2020-02-18 17:01:43 +03:00
Yurii Shyrma 22c7aa9acf
Shyrma mkl matmul (#250)
* - provide matmul code based on mkl api

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct typo in mkl matmul op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - take into account empty arrays in mkl matmul op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - fix bug in mkl matmul and group all matmul tests in one file

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-18 08:58:01 +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 f9d51b7278
More compilation units (#246)
* weird edge case

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* weird edge case

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* get rid of it

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* crop and resize reorganized

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* restore test

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* remove unwanted unit refs in cmale

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2020-02-17 10:23:05 +03:00
Yurii Shyrma 011c272fde
Shyrma transpose (#244)
* - provide contiguous strides for ouput in transpose op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide contiguous strides for output in permute op

Signed-off-by: Yurii <iuriish@yahoo.com>

* - take into account empty shapes properly in transpose/permute op

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-17 08:04:28 +03:00
raver119 9e3c1b02b1
Perf improvements (#242)
* initial commit

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* meh

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* better ExpandDims impl

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* better Squeeze impl

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* better Softmax impl

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* one test disabled

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* more accurate impl

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* - GraphProfiler now prints full shapeInfo instead of shape
- softmax typo fix

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2020-02-14 16:20:31 +03:00
Oleh 6e6289b6b9
Oleh bert multiply true broad cast (#239)
* libnd4j trueBroadcast rank 3 row implementation of special case

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j rule clarify for second special case for all tests pass

* libnd4j parallel_tad loop switch on in special case

* libnd4j more general case for special case 2, need additional testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j more general case for trueBroadcast special cases added

* libnd4j minor corrections and clean up

* libnd4j one more minor fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fixed check point to support all Y common vector representations in first special case for trueBroadcast

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

Co-authored-by: raver119 <raver119@gmail.com>
2020-02-14 12:04:38 +03:00
raver119 3de3cd8277
R119 tests (#238)
* one small test

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* one small test

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* bert test

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* Graph FlowPath fix

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* - GraphProfiler tweaks
- NodeProfile now includes shapes

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* RELU_layer inplace tweak

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* meh

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* identity tweaks

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* bert result validation

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* - bunch of Shape ops have inplace exec forbidden now
- Legacy ops have inplace exec disabled by default now

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* ffast-math enabled

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* ffast-math enabled

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* allow some legacy ops to be inplace

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* disable -fast_math

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* disable expensive test for cuda

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2020-02-13 20:59:35 +03:00
Yurii Shyrma fe47f52896
Oleh tenzor mmul (#231)
* Libnd4j: TensorMMul backprop op #8174, raw implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 merge master and some corrections

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 algorithm update, need testing, sync with  master

* Libnd4j: TensorMMul backprop op #8174 fixed incorrect B axes calculation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 optimize axes identification and fix bug of indeces overlapping, added first test. need testing with different shapes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 some fixes and improvements need more testing

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 fixed order of matrix multiply

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 fixed issue of incorrect axes definition, add tests based on TF, need additional testing for case dLdC not equal 1

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 fixed scalar case add test

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 fixed bp algorithm, axes definition, need some mode testing with different orders combination f,c; c,f f,f and add some checks for inputs

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 some checks and corrections added tests, exists the problem with different input orders support A-f B-c and A-f B-f

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* Libnd4j: TensorMMul backprop op #8174 sync master

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - correct bug in MmulHelper::tensorDot(a, b, c, axes_a, axes_b,permutForC)

Signed-off-by: Yurii <iuriish@yahoo.com>

* Libnd4j: TensorMMul backprop op #8174 code clean up and refactoring

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* - add check for linspase ordered permutations in ShapeUtils::evalShapeForTensorDot

Signed-off-by: Yurii <iuriish@yahoo.com>

* - provide additional code in shape::reshape stuff in order to reduce amount of allocation/copy operations during reshaping procedure

Signed-off-by: Yurii <iuriish@yahoo.com>

* - further work on problem of wrong shape evaluation during permute/reshape procedures

Signed-off-by: Yurii <iuriish@yahoo.com>

* - still looking for bug reason in reshape/permute stuff

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct bug in transform cuda native ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct bug in NDArray::assign

Signed-off-by: Yurii <iuriish@yahoo.com>

* - remove old shape::reshape stuff

Signed-off-by: Yurii <iuriish@yahoo.com>

* - add possibility to disable copy of old buffer to new buffer during reshape operation in NDArray class

Signed-off-by: Yurii <iuriish@yahoo.com>

* - correct bug in tensorDot which had to do with wrong pointers assigments

Signed-off-by: Yurii <iuriish@yahoo.com>

Co-authored-by: Oleh <oleg.semeniv@gmail.com>
2020-02-13 20:33:54 +03:00
shugeo f0c684020f
Shugeo resize area fix4 (#229)
* Fixed a couple of issues with resize_area op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added additional test for alternate params for resize_area testing.

Signed-off-by: shugeo <sgazeos@gmail.com>
2020-02-12 19:02:42 +03:00
Oleh 11cb561045
Oleh true broadcast opt (#234)
* libnd4j trueBroadcast special case

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j fix trueBroadcast special case

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j special case of TrueBroadcastHelper

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j trueBroadCast special case and test

* libnd4j minor changes sync with master

* libnd4j changes to TrueBroadcastHelper.hpp per require

Signed-off-by: Oleg <oleg.semeniv@gmail.com>
2020-02-12 14:12:17 +03:00
raver119 237c137166 few more smaller compilation units (#226)
Signed-off-by: raver119 <raver119@gmail.com>
2020-02-10 10:57:18 +03:00
raver119 8a0d5e3b97
Compilation units (#224)
* - TrueBroadcastHelper split into multiple compilation units
- legacy gemm.cpp disabled

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

* - IndexReduce int32/int64 split into multiple compilation units

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

* - Reduce3 ops split into multiple compilation units

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-09 19:48:32 +03:00
Abdelrauf bead656feb
Initial performance improvement for Bias Add and etc #8556 (#217)
* Initial  performance improvement for Bias Add, loop coords helpers and increment aligned parallel threading

Signed-off-by: AbdelRauf <rauf@konduit.ai>

* One more test for Rauf

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

* disable couple of perf tests

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

Co-authored-by: raver119 <raver119@gmail.com>
2020-02-08 15:31:30 +03:00
raver119 a0da5a9e47
Events removed from Java (#219)
* replace mutex with lock_guards

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

* Events ditched from Java CUDA logic

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-07 12:34:55 +03:00
Yurii Shyrma 948646b32d
Shyrma mkl test (#211)
* - provide nhwc format in mkl conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - corrections in mkl conv3d

Signed-off-by: Yurii <iuriish@yahoo.com>

* - corrections in mkl batchnorm

Signed-off-by: Yurii <iuriish@yahoo.com>

* - corrections in mkl maxpooling2d

Signed-off-by: Yurii <iuriish@yahoo.com>

* - add format format_tag::any to outputs in mkl conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - complete corrections in mkl conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>

* - add test for comparison of execution speeds of mkl conv2d op with different weights format

Signed-off-by: Yurii <iuriish@yahoo.com>

* - take into account order f in mkl conv ops

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-02-06 21:12:54 +03:00
shugeo 5ae40f6e38
Shugeo sequence mask fix2 (#216)
* Fixed sequence_mask op and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Cuda fix for sequence_mask op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed sequence_mask op for both platforms and tests.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed solve and triangular_solve for more than 2D for adjoint cases.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added adjoint solve test again.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a set of tests for triangual_solve and generic solve ops.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a pair tests for triangular_solve

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added tests for triangular_solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>
2020-02-06 21:06:50 +03:00
raver119 5d28e6143d
OpContext handling (#214)
* nano tweaks

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

* OpContext tweaks

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

* OpContext deallocators

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

* get rid of few mkldnn safety checks

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

* databuffer setSpecial fix

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-05 07:27:24 +03:00
shugeo 41ff907bc6
Shugeo solve linear (#191)
* linear equations systems solve op. Initial commit.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed compiling issues.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Linear equations systems solve. The next stage commit.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added test for linear equations systems solve operation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added additional test and fixed lower matrix retrievance.

* Implementation for solve of the systems of linear equations."

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored permutation generation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added restore for permutations batched with cuda helper for solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Finished cuda implementation for solve op helpers.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Refactored cpu helpers for solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fix gtest output on Windows

* Fixed issue with permutation matrix for cuda implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Fixed issue with permutation matrix for cpu implementation.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Eliminated waste comments.

Signed-off-by: shugeo <sgazeos@gmail.com>

* LinearSolve added

* Mapping added

* Javadoc added

* Refactored implementation of triangular_solve helpers and tests for solve matrix equations generally.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Added a test for solve op.

Signed-off-by: shugeo <sgazeos@gmail.com>

* Solve test added

* Fix for TF import

Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-02-04 08:59:11 +03:00
raver119 9bb5798cac
Null arrays fix (#208)
* don't skip null arrays

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

* one test tweak

Signed-off-by: raver119 <raver119@gmail.com>
2020-02-02 23:14:00 +03:00
Oleh d52e67209e
Oleh convert (#200)
* StringUtils for utf convertor raw implementation of all possible combinations, need to be add counter of bytes per symbol for any type and add api to call convertors and store data

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor more corrections to support convertors

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor some corrections and bug fixes, need review to discuss how to add multi-threading

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 some corrections to move to multi-threading, add one test need discussion data inputs/outputs array presentation, need discussion the way of multi-threading

* StringUtils for utf convertor #8613 tests added some corrections to optimize build

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 some corrections and code clean up

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 code clean up and optimize usage, need update ndarray factory before replace std usage

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 some staff to integrate converters into NDArrayFactory, update tests and add some functionality

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 minor corrections and bug fix before discussion

* StringUtils for utf convertor #8613 some fixes and tets

* StringUtils for utf convertor #8613 some more staff to support different unicode

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 fix linking bug

* StringUtils for utf convertor #8613 corrected several tests as defaults for string ndarray changed

* StringUtils for utf convertor #8613 replace some incorrect implementation, revert some test changes, need sync before testing

* StringUtils for utf convertor #8613 fixed several thing that were badly implemented yesterday, need optimization, testing (before testing have to be add support of u32 and u16 buffer visualization)

* StringUtils for utf convertor #8613 fixed to support u16 and u32, and convertor in ndarray, fix buffer print, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 merge master and sync with server

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 some correction for string cast, need print check only asci support

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 merge master, remove copies and add cast, need test, refactoring according review and clean up

* StringUtils for utf convertor #8613 fixed cast and copy issues

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 fixed cuda and update tests

* StringUtils for utf convertor #8613 integration into NdArray, fix several tests for build pass, refactoring, etc

* - avoid ambiguity of NDArray ctrs overloading in some tests

Signed-off-by: Yurii <iuriish@yahoo.com>

* StringUtils for utf convertor #8613 NDArray string constructors added, updated NDArrayFactory, refactoring unicode and tests, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 fixed cuda build and test, refactoring and void* added to some functions

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613  void* integration, removed copy operation, refactoring, added tests for NDArray string constructors, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 several more fixes, improvements and updates

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 master merge, code clean up and optimization before review

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 minor fixes string element size define

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 revert last changes as mistake

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 fixed NDArray constructor build problem, remove order from string factory, fixed order use for factory via project, added catch of incorrect sync in cast of arrays to data types, fixed e method for strings, etc

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 added javacpp hack, added multi-threading, minor corrections in license agreement

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* StringUtils for utf convertor #8613 windows builds fix, as "sting" is not treated as utf8

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-31 16:30:49 +03:00
raver119 1ab86d1306
Range op data type (#204)
* - range op now accepts dargs
- dargs now can be in signature

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

* range dtype java side

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

* linspace fix

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

* lin_space fix for scalar outputs

Signed-off-by: raver119 <raver119@gmail.com>
2020-01-31 10:45:40 +03:00
Abdelrauf d39ca6d488
ElementWiseStride==1 cases for legacy random ops (#202)
Signed-off-by: AbdelRauf <rauf@konduit.ai>
2020-01-31 08:57:31 +03:00