Commit Graph

71 Commits (d5568df7b3dbf7240c666cc23f7bcb20371ae6d1)

Author SHA1 Message Date
shugeo 92636b0b86 Eliminated waste operator. 2019-10-10 17:08:59 +03:00
shugeo 02d8616692 Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op. 2019-10-10 16:40:56 +03:00
shugeo d0cbd33b0e Added input checks for op. 2019-10-09 15:52:13 +03:00
shugeo cb56b0b06a The first approach for fake_quant_with_min_max_vars_per_channel op implementation. 2019-10-08 19:00:41 +03:00
shugeo 53a2ebddbe Added test and helpers for draw_bounding_boxes op both cpu and cuda related. 2019-10-04 20:46:26 +03:00
shugeo 8f70b4441f draw_bounding_boxes op implementation. Inital revision. 2019-10-04 18:32:21 +03:00
shugeo 908e4c4912 Added implementation for divide_no_nan op and tests. 2019-10-04 10:29:15 +03:00
shugeo 130ee25682 Implemented compare_and_bitpack op. 2019-10-03 10:57:48 +03:00
shugeo f3e42173ef Refactored buffer copying to avoid wrong usage of buffers. 2019-10-02 16:51:09 +03:00
shugeo 1c6173d218 Added implementation of bitcast op. 2019-10-02 15:04:59 +03:00
shugeo afeb524238 Refactored implementation for adjust_contrast ops. 2019-10-01 14:13:09 +03:00
shugeo 1575c704ae Added implementation for adjust_contrast_v2 op and tests. 2019-10-01 11:44:27 +03:00
shugeo e06dfb5dcc Implementation of adjust_contrast op. 2019-09-30 18:24:12 +03:00
AlexDBlack a66e03355e Merge remote-tracking branch 'fork/master' 2019-09-12 12:20:57 +10:00
raver119 98e2814879
Platform helpers (#8216)
* platform helpers draft

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* typo

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* disable platform cmake

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* another draft

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* mkldnn convolution refactored

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* minor tweaks

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* one more safety check

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* prototype works

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* meh

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* force static library mode for mkldnn

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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware

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* bunch of small fixes

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* declare concurrent

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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update

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* - avgpool2d_bp/maxpool2d_bp APIs update

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* - conv2d/batchnorm APIs update

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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update

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* all ops converted to MKLDNN 1.x

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* bunch of tweaks

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* namespace for platform helpers

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* make sure platform helpers aren't opimized out

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* build cpu_features on x86 systems

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* build cpu_features on x86 systems

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* more of cpu_features

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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory

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* F16C definition renamed

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* some mkldnn rearrangements

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* check supported instructions before doing anything

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* typo

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* missied impl

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* BUILD_PIC option

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* conv2d fix

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* avgpool3d fix

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* avgpool3d_bp fix

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* avgpool2d_bp leak fix

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* avgpool3d_bp leak fix

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* maxpool bp leaks fixed

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* printf removed

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* batchnorm fix

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* AVX warning/error polishing

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* Fix

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* More polish

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* Polish

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* remove previous MKL-DNN support layer

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* avx2 tweak

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* allow static for apple

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* exclude mkldnn in one more place

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* exclude mkldnn in one more place

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* restore OPENBLAS_PATH use

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* add runtime check for avx/avx2 support

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* convolution_auto

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* Add logic for helper argument

* minor test fix

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* few tweaks

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* few tweaks

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* skip OpTracker props for non-x86 builds

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* linux arm isn't x86 :)

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* avx-512

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* CUDA presets fix

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* BUILD_PIC

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* prefetchw for avx2

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* BUILD_PIC again

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2019-09-11 21:50:28 +03:00
raver119 589401477d
[WIP] bunch of improvements (#257)
* - profiling bias_add op
- add some docementation

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* - minor change

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* - provide addBias cuda kernel

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* - improve shape::getIndexOfffset and change its signature

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* - same as previous

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

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* - minor changes in flatten

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* - add function shape::getIndexOffsetOrdered

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* - correct shape::getIndexOffsetOrdered()

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

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2019-09-11 20:12:09 +03:00
raver119 1de9fb218e
- bits_hamming_distance dtype fix (#8208)
- DataTypeUtils::asString fixe + new dtypes added

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2019-09-06 08:59:05 +03:00
raver119 46f8c58502 - bits_hamming_distance dtype fix
- DataTypeUtils::asString fixe + new dtypes added

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2019-09-06 08:57:53 +03:00
Ryan Nett 79867f5c5a cleanup SDRNN and rnn ops (#238)
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2019-09-05 12:25:03 +10:00
shugeo 548044a1e2 Shugeo doc (#235)
* Actualized doc to tnse ops.

* Added comments for dynamic_stitch op.

* Added comments to dynamic_stitch op implementation.

* Modified comment for unstack_list op.

* Added doc for space_to_depth and depth_to_space ops.

* Added doc for space_to_batch op.

* Enlarge test type for adjustSaturation.

* Added doc for runner.
2019-09-04 14:57:59 +03:00
raver119 a90c7dd995
[WIP] Last set of changes (#234)
* mmul op instead of cublasSgemm

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* transB

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* jcpp handles

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* bitwise and/or/xor

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* bitwise and/or/xor mapping

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* cuda/cublas version check

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* add expected version

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* cuda/cublas version check in java

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* one more error check

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* build fix

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* build fix

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* build fix

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* one more fix

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* skip CUDA version check for now

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* better wording

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* few more tweaks

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* few more tweaks

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2019-09-04 14:41:08 +03:00
Yurii Shyrma cb4c9377b1 Shyrma docs (#222)
* - documenting and profiling matrix_set_diag cuda kernel

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* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag

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2019-09-02 16:25:58 +03:00
Yurii Shyrma a35926c6e9 - add parameter alpha to elu and lrelu_bp (#213)
* - add parameter alpha to elu and lrelu_bp

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* - forgot to correct header activations.h

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2019-08-31 20:57:39 +03:00
raver119 70a9ae5068
[WIP] few tweaks (#206)
* scatter empty check

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* scatter empty test

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* one more test

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* two tweaks

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* dup tweak

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* - put empty checking of indices array immediately prior  helper run

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* minor tests fix

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* minor tests fix

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2019-08-30 16:32:01 +03:00
raver119 1003428a18
[WIP] Int broadcastables (#195)
* Removed invalid resource and fixed tests

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* legacy scalar/pairwise/broadcast int ops

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* NDArray int broadcastables

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* few more bitwise tests

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* java side update

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* Argument type changed for shift ops

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* legacy scalar/pairwise/broadcast int ops

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* NDArray int broadcastables

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* few more bitwise tests

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* java side update

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* Argument type changed for shift ops

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2019-08-30 10:12:40 +03:00
Yurii Shyrma 5395d4fbe5 - rewrite broadcast_dynamic_shape and delete corresponding helpers (#194)
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2019-08-29 20:38:02 +03:00
Yurii Shyrma 70af8c2afc Shyrma svd (#191)
* - add one additional test for svd

* - provide float argument in eye op to be a type of output array

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* - add cuda capability check to mmulHelper

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* - make use another method for divice id evaluation

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* Eye data type as T argument

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2019-08-28 18:27:08 +03:00
raver119 dec296da17
[WIP] bits_hamming_distance (#192)
* bits_hamming_distance op

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* bits_hamming_distance cuda

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2019-08-28 18:20:44 +03:00
Yurii Shyrma 2144941313 Shyrma fix2 (#186)
* - further work on layer_norm

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* - further work on layer_norm 2

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* - correct helpers for svd cuda

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2019-08-27 19:57:59 +03:00
raver119 a49f7c908b
[WIP] More fixes (#178)
* skip string arrays for device validation

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* histogram_fixed_width now really supports indexing types

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2019-08-27 13:21:01 +03:00
raver119 df84bc7255
[WIP] More tweaks (#173)
* CUDA empty reduction

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* - listdiff synchronization fix for CUDA
- listdiff test

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* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output

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2019-08-27 10:37:10 +03:00
raver119 25e5c23eae
[WIP] Error handling (#169)
* CUDA reverse rewrite + couple of tests

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* don't throw exception on invalid pointer

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* data types validation for fastpath exec mode + 2 tests

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* data types validation for fastpath exec mode + 2 tests

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* ismax allowed dtypes tweak

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* lastErrorCode + lastErrorMessage for native exceptions handling

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* exportable ErrorReference

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* check error codes in java

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* - consume lastErrorCode
- fast_in dtype validation fix

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* - sg/cb allowed output type change
- minor logging fix for data type validation

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2019-08-26 19:57:51 +03:00
raver119 bb5fc36e5e
[WIP] ops fixes (#168)
* - correct layer_norm

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* - further fix of layer norm

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* - correct scatter_upd op

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* - correct cuda kernel for histogram_fixed_width op

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* - delete comments

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* enabled one ignored test

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2019-08-26 19:37:05 +03:00
Alex Black b417ca21bf
Fix for concat op shape function (empty shapes) (#167)
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2019-08-26 23:10:28 +10:00
raver119 f03b0ee78f
[WIP] more fixes (#159)
* Added test for MatrixInverse with double input. Fixed matrixDeterminantKernel.

* Fixed kernels to avoid waste templating.

* Fixed logDeterminant kernel.

* Refactored type check for lup'

* - decrease blockDim value for zeta op

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* Added print for compound matrix with CUDA.

* Refactored upper matrix invertion kernels.

* - provide move constructor and move assignment operator for OpArgsHoder class

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* Refactored usage of launch context.

* - add test for mergemax

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* get rid of AveragingArrayProxy

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* Refactoring of LUP inversion.

* Added prints for invertion.

* - add OpArgsHolder copy constructor and assignment operator

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* Added test for lower inversion

* - fix bug in upsampling2d/3d_bp op

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* Added expensive printfs to kernel.

* Refactored expensive kernel prints.

* Refactored expensive printfs

* - remove nullify

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* Eliminated waste prints with tests.

* upsampling2d_bp test

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* test updated

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2019-08-23 19:20:50 +03:00
raver119 fb8de5006f - concat empty scalar fix
- couple of tests for empty scalar concat

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2019-08-23 13:16:50 +03:00
raver119 729dc5e879
[WIP] size etc (#155)
* one test for size

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* - few tests for size op
- size/rank/size_at ops now use p instead of assign

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2019-08-23 12:31:12 +03:00
Alex Black e855e47f73
More fixes (#148)
* Small batch norm fix (cuda/no-mkldnn)

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* Dropout fix for RnnOutputLayer

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* Allow block size < 2 in batch_to_space_nd and space_to_batch_nd for import, in spite of what TF docs say

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2019-08-22 19:55:27 +10:00
raver119 eea3062ccf
[WIP] stb/bts nd (#144)
* - start working on space_to_batch_nd

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* - provide cpu helper for space_to_batch_nd op

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* few typos fixed

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* - add tests for space_to_batch and correct bugs

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* - write cuda kernel for space_to_batch op

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* - add order argument to shape::index2coords method in convolution cuda ops

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* - restore some previous code

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* old col2im kernel activated

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* - change coords calculation in col2im kernel

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* - restore old col2im kernel

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* - add custom op for batch_to_space

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* - provide cpu version for batch_to_space_nd op

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* - provide cuda kernel for batch_to_space_nd op

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2019-08-21 21:11:46 +03:00
raver119 e604ffe0d2
[WIP] repeat op (#143)
* - write new repeat helper (cpu)

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* - update NDArray::cpu

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* - update NDArray::repeat cuda

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2019-08-21 21:10:29 +03:00
raver119 d9ab299759
[WIP] Minor fixes (#140)
* - Tile java shape fn removed
- Tile 0 validation added
- scatter_upd test

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* additional tile validation

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* - provide vector case in cuda scatter op

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* cpu ismax view fix

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* exp

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* cuda ismax fix

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2019-08-21 15:05:47 +03:00
raver119 aceb915557
[WIP] tests fixes (#130)
* no openmp for ClipByGlobalNorm

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* one more bfloat16 rng test

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* assertion fix

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* - legacy IsMax gone
- linear IsMax gets shapeInfo argument

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* get rid of legacy IsMax tests

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* IsMax is custom op now

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* more blocks for ismax

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* one more test

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*  - sqrt test
 - some legacy code removed from CudaExecutioner
 - Transforms.asin tweaks

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* - TransformFloat fix

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* - ismax fix
- SpaceToBatchND/BatchToSpaceND wrappers
- couple of legacy tests removed

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-19 11:33:15 +03:00
raver119 e22880fd76
[WIP] Roll rewritten (#128)
* Process correct input vector.

* Added tests for roll.

* Refactored roll to conform with TF. Eliminated memory leaks with Roll op tests.
2019-08-17 14:15:08 +03:00
raver119 5c908886b0
OP/CONFIGURABLE_OP shapefn fix (#125)
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-16 08:53:30 +03:00
raver119 987bb80c46
[WIP] right shift ops (#118)
* right shift ops

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* typo

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* rotr test

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2019-08-15 20:35:15 +03:00
shugeo 3c7cd2397c Eliminated memory leaks and dropped waste prints with tests. (#117) 2019-08-15 15:28:19 +03:00
shugeo f083b96c74
Shugeo cuda tests (#116)
* Added tests for get_seed/set_seed ops.

* Added missed tests for scatter_sub/mul/div ops.

* Added tests for hardsigmoid and hardsigmoid_bp.

* Added tests for hardtanh and hardtanh_bp ops.

* Added test for histogram op.

* Added tests for identity op.

* Refactored mergemaxindex op. Added tests for log1p,mergemaxindex, mod and mod_bp ops.

* Fixed tests for FloorDiv.

* Added test for rank op.

* Added tests for rationaltanh/rationaltanh_bp ops.

* Added tests for realdiv/realdiv_bp.

* Added tests for rectifiedtanh/_bp ops.

* Added tests for shapes_of op.

* Added tests for shapes_of op.

* Added tests for size op.

* Added tests for softplus/_bp ops.

* Added tests for softsign/_bp ops.

* Added tests for toggle_bits op. Fixed processing of OP_IMPL and so on defititions.

* Added test for truncatediv op.

* Added another test for truncatediv op.

* Added another test for histogram.

* Added tests for unstack_list op.

* Refactored to_int32/uint32/float16/float32/double/int64/uint64 ops and tests.

* Refactored mergemaxindex op helper for cuda platform and tests.

* Fixed cuda kernel for histogram op helper.

* Refactor skipgram to avoid early buffers shift.

* Fixed check up with non_max_suppression op cuda helper. Added cuda kernel implementation for skipgram op helpers.

* Added implementation of skipgram op helper for cuda platform. Working revision

* Fixed mergeMaxIndex kernel and move it to separate source file.
2019-08-15 13:54:47 +03:00
raver119 6264530dd8
[WIP] bitwise ops (#115)
* - cyclic_shift_bits + test
- shift_bits + test

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* OMP_IF replacement

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2019-08-15 11:49:50 +03:00
raver119 e0f8d86eac bunch of shape functions fixed
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-14 18:28:25 +03:00
raver119 53ca9a76e8
[WIP] multi-device support (#80)
* fix pad javadoc and @see links. (#72)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* [WIP] More fixes (#73)

* special tests for ConstantTadHelper/ConstantShapeHelper

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* release methods for data buffers

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* delete temporary buffer Java side

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* delete temporary buffer Java side

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* delete temporary TadPack C++/Java side (#74)

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* Zoo model TF import test updates (#75)

* argLine fix, update compression_gru comment

* updated comment for xception

* undid but commented argLine change

* updated xlnet comment

* copyright headers

* - new NDArray methods like()/ulike() (#77)

- fix for depthwise_conv2d_bp + special test

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* upsampling2d fix CUDA

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* DL4J trace logging (#79)

* MLN/CG trace logging for debugging

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* Tiny tweak

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* strided_slice_bp shape fn leak fix

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* SameDiff fixes and naming (#78)

* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching

* initial commit

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* initial commit

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* fix javadoc. (#76)

* fix javadoc.

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* replace most @see with @link s.

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* 4 additional tests

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* launch context reorganization

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* LaunchContext reorganization

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* per-device LaunchContext

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* Various DL4J/ND4J fixes (#81)

* #7954 Force refresh of UI when switching tabs on overview page

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* #8017 Concurrent modification exception (synchronize) fix

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* #8033 Don't initialize updater in middle of writing memory crash dump

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* #8208 Fix shape checks for ND4J int[] creator methods

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* #6385 #7992 Keras import naming fixes + cleanup

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* #8016 Upsampling3D - add NDHWC format support

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* ContextBuffers as separate entity

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* Refactor NativeOps.h to export C functions

* Actually export functions from NativeOps.h

* Adapt the Java wrappers in ND4J generated with JavaCPP

* Create C wrappers for some of the C++ classes currently used by ND4J

* ContextBuffers as separate entity

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* remove duplicate code in createBufferDetached. (#83)

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* Keras model import - updater lr fix (#84)

* Keras model import - updater lr fix

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* Keras model import - updater lr fix, cleanup

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* ContextBuffers as separate entity

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* ContextBuffers as separate entity

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* Fix functions of OpaqueVariablesSet

* thread-local buffers/affinity

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* thread safety for LaunchContext

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* more of thread safety

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* one more multi threaded test

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* SameDiff Convolution Config validation, better output methods (#82)

* Conv Config validation & tests

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* stackOutputs utility method

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* use constructor for validation, support negative kernel sizes (infered from weights)

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* better output methods

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* move output to be with fit and evaluate

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* fixes

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* more fixes

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* refactor duplicate code from pad methods. (#86)

* refactor duplicate code from pad methods.

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* replace switch with if.

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* Various ND4J/DL4J fixes and improvements (#87)

* Reshape and reallocate - small fixes

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* Reshape and reallocate - small fixes

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* #6488 ElementWiseVertex broadcast support

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* Constructors and broadcast supported it Transforms.max/min

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* #8054 ElementWiseVertex now supports broadcast inputs

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* #8057 Nd4j.create overload dtype fix

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* #7551 ND4J Shape validation fix

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* [WIP] Numpy boolean import (#91)

* numpy bool type

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* numpy bool java side

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* remove create method with unused parameter. (#89)

* remove create method with unused parameter.

* removed more unused methods.

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* removing more unused code.

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* last removal of unused code.

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* remove createSparse methods. (#92)

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* Various ND4J/DL4J fixes (#90)

* Deprecate Old*Op instances

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* #8063 #8054 Broadcast exceptions + cleanup inplace ops

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* Small fix

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* Remove bad test condition

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* #7993 Fix shape function issue in crop_and_resize op

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* DL4J SameDiff lambda layer fix

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* #8029 Fix for pnorm backprop math

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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)

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* createUninitializedDetached refactoring. (#94)

* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

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* createUninitializedDetached refactored.

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* cuda build fix for issues introduced by recent refactoring

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* [WIP] More of CUDA (#95)

* initial commit

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* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

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* - remove old test for batch_to_space (had wrong format and numbers were not checked)

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* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

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* Added test for concat.

* comment unnecessary stuff in s_t_b

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* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

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* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

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* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

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* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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* Fixed axpy op.

* meh

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* - fix tests for nativeOps::concat

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* sequential transform/scalar

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* allow nested parallelism

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* assign_bp leak fix

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* block setRNG fix

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* enable parallelism by default

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* enable nested parallelism by default

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* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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* - some tests fixes

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* - correct the rest of reduce_ stuff

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* - further correction of reduce_ stuff

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* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

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* - provide cuda kernel for gatherND operation

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* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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* minor tests tweaks

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* - further correction of cuda stuff

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* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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* - get rid of concat op call, use instead direct concat helper call

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* lstmBlockCell context fix

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* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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* operator * result shape fix

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* - correct typo in lstmCell

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* few tests fixed

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* CUDA inverse broadcast bool fix

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* disable MMAP test for CUDA

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* BooleanOp syncToDevice

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* meh

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* additional data types for im2col/col2im

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* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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* mmulDot tests fixed

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* more tests fixed

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* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

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* Eliminate cbow crach.

* more tests fixed

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* more tests fixed

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* Eliminated abortion with batched nlp test.

* more tests fixed

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* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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* scalar operators fix: missing registerSpecialUse call

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* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

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* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

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* build fix

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* exclude two methods for JNI

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* exclude two methods for JNI

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* exclude two methods for JNI (#97)

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* temporary stack fix

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* round robin affinity test

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* get rid of legacy CudaContext methods

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* get rid of legacy ContextPool classes/methods

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* one legacy test removed

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* few more fields rearranged

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* OpaqueLaunchContext

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* OpaqueLaunchContext++

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* more of OpaqueLaunchContext methods

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* LaunchContext -> CudaContext

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* AffinityManger changes

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* AffinityManger changes

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* cusolver handles

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* typo

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* cusolver method

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* cusolver handle propagated

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* blas/solver handles

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* one more test

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* legacy concat implementations replaced with new CustomOp

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* one more test

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* concat now uses way more blocks

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* print

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* no more triple template mmul

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* bunch of kernels have dtypes reconsidered

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* bunch of kernels have dtypes reconsidered

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* bitonic sort reorganized

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* bunch of cpu stuff removed from cuda scope

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* bunch of cpu stuff removed from cuda scope

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* type conversions moved to generic impl

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* cpu data types pass

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* non_max_suppression

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* sortByValue fix

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* ignore all mixed datatype tests for mmul

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* special handling of OpProfiler exceptions

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* - one failing concat test in cpp
- Nd4j.tile now uses op internally

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* get back dtype exception for legacy arrays deserialization

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2019-08-14 16:52:34 +03:00