Commit Graph

216 Commits (8e8a5ec369b12fa4157212dd14d48c71c29beb2c)

Author SHA1 Message Date
Alexander Stoyakin f5068f3980 Added missing Java ops wrappers (#122)
* Timeouts added

* Added some ops

* Ops added

* Fixed tests

* Minor fix

* Some fixes

* Digamma added

* Small fixes

* Timeouts added

* Added some ops

* Ops added

* Fixed tests

* Minor fix

* Some fixes

* Digamma added

* Small fixes

* Fused batch norm fixes-

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

* Tests switched off.

* Added test for resize_bicubic.

* Eliminated wasted in test of bicubic resize.

* Switched off multithreading explicit.

* HsvToRgb and RgbToHsv added

* Eliminated waste comments and conform proper float constants.

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

* Fixed multithreading with resize_bicubic helper for cpu platform.

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

* ResizeBicubic was fixed.

* Some fixes

* Fix op name

* Validation fixed.

* Clarifications for tests

* Wrappers and small fixes for new ops.
2019-12-19 20:15:48 +11:00
Abdelrauf e0a9cb6c08 [WIP] HSV,RGB color model conversions (#125)
* CUDA implementation for hsv_to_rgb and rgb_to_hsv

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

* hsv_to_rgb and rgb_to_hsv operations
Test coverage: c order 1d, 2d, 3d array

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

* Index check

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

* Suppress Msvc floating point errors

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

* Added Index Check for adjust_saturation and adjust_hue

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

* minor fix

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

* Fixes missed Msvc floating narrowing errors

Signed-off-by: Abdelrauf <rauf@konduit.ai>
2019-12-17 09:42:09 +03:00
Alexander Stoyakin 927d591421 ResizeBicubic added (#117)
* ResizeBicubic added
Some fixes.

* Test fixed

* Narrowed argument type changed to boolean

* Clean up
2019-12-09 18:25:39 +11:00
raver119 70e08c3a6c reshape validation fix
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-06 21:19:33 +03:00
raver119 b32dd1bf92
[WIP] resize_bicubic types (#116)
* resize_bicubic: allow more dtypes

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* resize_bicubic: allow less dtypes

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* Refactored resize_bicubic op to full conform with TF1.5 and tests.

* Corrected test to proper data type output.

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

* Corrected double input test to float constant outputs.

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

* Finished with correction of tests for bicubic interpolated resizes expected.

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

* Fixed adjust_contrast ops to allow non-RGB inputs.

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

* Refactored adjust_contrast_v2 to conform with TF one.

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

* AdjustContrast tests activated

* two typos fixed

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-06 18:58:37 +03:00
shugeo e09a785232 Shugeo resize fix5 (#102)
* Refactored resize images ops to use TF-like bool args as input.

* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.

* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.

* Refactored nearest_neighbor resize op.

* Added a pair of tests for special case of resize_bilinear algorithm.

* Fixed issue with resize_bilinear op.

* Refactored cpu implementation for helpers with resize_nearest_neighbor op.

* Final fixed for resize ops to conform TF v.1.5

* Refactored cuda helpers for resize_neares_neighbor op.

* Fixed resize_bilinear to accept proper data.

* Fixed issue with non-float input for resize_bilinear op.

* Refactored cuda helper for resize_bilinear to proper process non-float inputs.

* Added tests for resize_bilinear to int inputs.

* Fixed ResizeBilinear wrapper

* Tests fixed

* Fixed float and bool constant to avoid overflow for some kind of compilers.

* Corrected float constants with float data type.

* Added f suffix for float constants.

* Corrected float constant to avoid overflow with initializing lists.

* Corrected float initializing list with float input.

* Corrected bool constant with initalizing list.

* Corrected float and bool values with initializing lists.

* Fixed wrong constant.

* Fixed issue with 1x1 input picture for resize.

* ResizeBilinear default values on import fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-05 22:05:33 +03:00
Alex Black 2052ce7026
Various pre-release fixes (#111)
* Various fixes

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

* Fix default dtypes for MaxPoolWithArgmax

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-05 14:20:03 +11:00
Alex Black 578a5abb68 DNNL/MKLDNN dilated causal conv1d + betainc (#103)
* - add padding calculation in same mode in causal conv1d op for right mkl paddings

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

* - correct causal condition in mkldnnUtils.cpp

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

* - correct some code which caused additional round errors is betainc op

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

* - put float in place of template parameter in nan assign in betainc op

Signed-off-by: Yurii <iuriish@yahoo.com>
2019-12-04 14:50:17 +03:00
shugeo 190575196c Refactored pad and mirror_pad ops to conform with TF. (#100) 2019-12-03 15:06:38 +03:00
Yurii Shyrma 1f5e15b541 Shyrma adjust (#98)
* - add possibility of passing scalar-array as input parameter for scale factor in adjust hue/contrast/saturation ops
- correct typo in function which calculates regularized incomplete beta integral

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

* - fix bug in betainc cuda kernel

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

* - start working on implementation of digamma function

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

* - further work on digamma function (cpu)

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

* - testing and fixing bugs in digamma op

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* - make correction n cuda kernel for polyGamma

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* - remove unnecessary stuff from betaInc cuda kernel

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

* - resolve conflicts in DeclarableOpsTests3.cpp after master branch has been merged

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* - restore id number of Not opertion in legacy_ops.h

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* - correct padding calculation in mkl dnn conv1d causal

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* restore empty check in adjust_contrast_v2

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-03 09:40:45 +03:00
shugeo 1e9ff114aa Shugeo atomic tests (#97)
* Added atomic tests for atomicAdd, atomicSub and atomicDiv.

* Fixed atomicAdd for 16bit ints.

* Fixed atomicMul for 16 floats.

* Eliminated waste prints.

* Fixed problems with double type on matrix inverse helepers.

* Eliminated commented wrong code.

* Refactored atomicMul for 16bit types.

* few more minor tweaks

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

* Fixed fake_quant_with_min_max_vars_per_channel args processing.
2019-12-02 21:40:54 +03:00
raver119 25b3cd9b80
[WIP] CUDA tests (#95)
* one more CI test

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* export additional symbols

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* few more tweaks

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* one more tweak for linux

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* fix dtype in few tests

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* missing sync and memset in couple of tests

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* copy step for libnd4j cuda

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* no-op on empty for adjust hue/contrast/saturation

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* CUDA_VERBOSE Off

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* BroadcastBool fix + few tests

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* trigger jenkins

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* trigger jenkins

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* - ignore couple of warnings
- remove redundant compiler options

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2019-12-02 21:37:21 +03:00
raver119 4ada65b384
[WIP] MSVC-related tests fixes (#88)
* fix narrowing down cast

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* trigger jenkins

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more fixes for MSVC and Windows

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* few more tweaks

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* - few more tweaks
- tensormmul dtype validation

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* - few more tweaks
- batched gemm dtype validation

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* - few more tweaks

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* - few more tweaks

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* - few more tweaks

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* - few more tweaks

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2019-11-30 16:02:07 +03:00
shugeo dc66a52bc7 [WIP] Shugeo release fixes4 (#91)
* Fixed fake_quant_with_min_max_vars op.

* Refactored bitcast op.

* bad linspace removed

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

* Corrected tests for bitcast op.

* Eliminated debug prints.

* one fix

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* one fix

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* Added a pair of comments.
2019-11-29 16:05:08 +03:00
Yurii Shyrma d19eeaec52 Shyrma casual conv1d (#90)
* - add causal mode of padding to convolutions

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

* - add additional tests for causal conv1d

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

* - add causal mode for cuda conv kernels

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

* Java side of Conv1D changes

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

* Add Conv1DDerivative op

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

* Causal Conv1D gradient checks

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

* Tweaks

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

* - add causal padding mode to conv2d_bp

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

* More thorough causal conv1d tests

Signed-off-by: Alex Black <blacka101@gmail.com>
2019-11-29 14:14:30 +03:00
shugeo 009007120b Shugeo_release_fixes3 (#81)
* Implementation for non_max_suppression_v3 was added. Initial version

* Added check for overcome threshold.

* Added definition for V3 method.

* java remapping for NonMaxSuppressionV3

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

* Fixed proporly processing of an empty output and test.

* Refactored op to less threshold data to float.

* Implemented cuda-based helper for non_max_suppression_v3 op.

* Fixed fake_quant_with_min_max_vars op.

* Fixed tests with float numbers.

* - assert now stops execution
- sortByKey/sortByValue now have input validation

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

* missing var

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

* Fixed proper processing for zero max_size inputs.

* Refactored kernel callers.

* Fixed return statement for logdet op helper.

* Refactored unsorted segment SqrtN op.

* get back 8 tail bytes on CUDA

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

* Refactored segment prod ops and helpers for cuda and tests.

* Additional test.

* CudaWorkspace tests updated for 8 tail bytes

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* special atomic test

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* atomicMul/atomicDiv fix for 16bit values

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* Eliminated waste prints.
2019-11-28 21:08:51 +03:00
Yurii Shyrma a8dd6713aa Shyrma scatter (#84)
* - improve performance of scatter (no lock) ops for 1D case

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

* - improve scatter lock op performance for 1D case

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

* - add kernel for verification of input indices-array elements in scatter and scatter_nd ops

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

* - provide fast indices checking on cpu side for scatter and gather osp

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

* - apply corrections requested by pr reviewer

Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-26 20:29:09 +03:00
shugeo 4187190609 Shugeo release fix2 (#70)
* Corrected input checking and tests for bitcast op.

* Fixed an issue with non_max_suppression form generation and processing with score threshold given.

* Fixed bilinear resize kernel and tests.

* push for Serhii

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

* Added test for nearest_neighbor resize with int input.

* Added data type check for input/output match.

* Eliminate error in macros.

* Improved output message for type checking.

* Fixed input/output types for op.

* Eliminated waste logging.

* Refactored resize_bilinear helper for multithreading for cpu platform.

* Cosmetic changes only.

* Fixed error for string substitution.

* Skip test for cbow_batch with cuda.

* fix for resizeNearestNeighbor output dtype

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

* Refactored non_max_suppression helper.

* Refactored shape generation and input handling.

* Added additional test.
2019-11-22 22:42:44 +03:00
Yurii Shyrma 7a90a31cfb
Shyrma deconv3 (#69)
* - profiling cuda kernels for vol2col and im2col

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

* - correct addBias helper

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

* - correct mkl dilation formula and switch off mkl api for dilation deconvolutions

Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-21 21:17:30 +02:00
raver119 83cb0d9329
[WIP] Create and small fix (#67)
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea

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

* Create op and mapping for it

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2019-11-21 13:31:20 +03:00
shugeo dc0036f2c6
Shugeo image resize bicubic (#56)
* Added implementation files for image_resize and resize_bicubic ops.

* Image resize and image.resize_bicubic ops implementation. Initial revision.

* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.

* Refactored resize methods.

* Added processing for Mitchelcubic algorithm.

* Added check for input/output sizes.

* Added int and float types for crop_and_resize op.

* Refactored crop_and_resize output type check.

* Added helper for bicubic interpolation as TF v.1 does.

* Added TF v.1 bicubic helper for cuda platform.

* Added cached class for bicubic algorithm.

* Refactored cuda implementation for crop_and_resize helper to use proper output type.

* Added facilities for bicubic interpolation.

* Portion bicubic interpolation from TF.

* Added tests for resize_bilinear testing.

* Working implementation of bicubic interpolation and tests.

* Refactored routines with image_resize bicubic op helper.

* Refactored code with coding standards.

* Refactored cpu helpers for resize_bicubic op.

* Refactored bicubic helpers.

* Added bicubic resize facilities.

* Implementing cuda kernels for bicubic interpolation. Implementation step.

* Cuda implementation of resize_bicubic op helper.

* Refactor image.resize_bicubic op helpers.

* Refactored helpers for resize_bicubic. Added error checking with cuda implementation.

* Refactored cuda implementation of resize_bicubic op helper. The first working revision.

* Cuda arch implementation for resize_bicubic op helper. Full working single-threaded revision.

* Intermediate bicubic interpolation helper for cuda.

* Refactored cpu helper for resize_bicubic.

* Multithreaded cuda implementation for resize_bicubic.

* Fixed merge issues.

* Refactored nlp helpers.

* Replicated resize_bicubic for 3D also.

* Eliminated waste comments of unused code.

* Eliminated waste comments with unused code.

* Eliminated waste template definitions.

* Eliminated waste debug code.

* Eliminated waste comments.

* Fixed multithreading with helpers.

* Fixed test suites for float and double in float point input lists.

* Fixed usage of reshape with 3D/4D on resizes.

* Final fixes.

* Fixed resize_neighbor op problem.
2019-11-20 21:11:04 +02:00
shugeo 13e5c0a280
Shugeo release fix1 (#61)
* Added a pair of tests for failed ops.

* Fixed cpu helper for draw_bounding_boxes op.

* Refactored implementation of draw_bounding_boxes op to full conform with TF.

* Improved multithreading with draw_bounding_boxes op cuda helper.

* Eliminated log messages.

* Changed logging with draw_bounding_boxes op helper and tests.

* Resize_biliear with 3D input allowed.

* Refactored 3D input acception with resize_bilinear op.

* And another improvement.

* Refactored reshape of input/output for resize_bilinear.

* Improvements final.

* Finished with 3D replication for image.resize_bilinear/_nearest_neighbor.

* Added copyrights for TF code.

* Using new form of multithreading for cpu implementation.

* Fixed shape error.

* Added multithreaded with batches on crop_and_resize functor.

* Refactored multithreading with crop_and_resize and draw_bounding_boxes.
2019-11-20 13:37:48 +02:00
raver119 7898f3c0cc
fix for is_increasing/non_decreasing ops for empty input case (#63)
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-20 11:12:15 +03:00
Alex Black da1944e8e1
SameDiff TF import (#49)
* Added implementation files for image_resize and resize_bicubic ops.

* Image resize and image.resize_bicubic ops implementation. Initial revision.

* Minor fix

* Some TF imports disabled.

* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.

* Refactored resize methods.

* Added processing for Mitchelcubic algorithm.

* adjust_contrast

* Small fix for TF import expected value loading when variable name starts with the test name

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

* Tests

* Tests added.

* Removed tf names absent in mapping.

* Some fixes.

* Small fixes

* Minor change

* Some failing tests.

* Disable failed test

* Ignore some tests

* Fix import class mapping

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

* Fix float property mapping (flatbuffers)

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

* Override equality function for model 'dropout'

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* Fail tests

* Failed tests ignored temporarily.

* Minor fixes

* Small fix

* Conflict resolved

* Default implementations of tensorflowName and onnxName
2019-11-19 22:44:29 +11:00
raver119 bbd59a3537
fake quant dtype validation fix (#60)
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-19 12:53:52 +03:00
raver119 1780dcc883
[WIP] Small fixes here and there (#50)
* one range test

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* few Context convenience singatures

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* one more range test

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* "range" "fix"

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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable

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* adjust_contrast now allows scale factor as variable too

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* bitcast shape tests

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* BitCast import dtype added

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* few more BitCast signatures

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2019-11-15 17:04:29 +03:00
raver119 48df1acdfb
[WIP] ThreadPool (#8)
This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
Alex Black 18c01f5bdc
Add SameDiff memory reuse memory manager (array cache) (#39)
* Attention op comments

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* ArrayCacheMemoryMgr - first pass

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* Tweak array cache for use with SameDiff identity arrays

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* ArrayCacheMemoryMgr javadoc and properly get max memory

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* LRU cache policy + add tests

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* Fixes

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* Resize arrays internally if required for ArrayCacheMemoryMgr

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* Test improvement

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* Small polish

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2019-11-12 21:15:44 +11:00
Yurii Shyrma 0eda1e733e Shyrma bnorm bp (#41)
Batchnorm backprop mkldnn
2019-11-12 11:58:48 +03:00
raver119 929c1dc5c7 - new NDArrayFactory scalar constructor
- minor tweak in randomuniform
- one more test

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2019-11-08 08:49:41 +03:00
raver119 51f3a1371d
[WIP] Random Uniform (#36)
* args

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* T args

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2019-11-07 17:09:47 +03:00
shugeo 679e42199a Shugeo strided slice bp fix2 (#33)
* Fixed crash and restored brocken functionality for strided slice.

* Added comments for strided_slice_bp main step.
2019-11-07 13:44:02 +03:00
shugeo 08853c7829
Shugeo random uniform int (#30)
* Corrected randomuniform declaration.

* Refactored uniform distribution for both cuda and cpu platforms.

* Refactored uniform distribution and tests.

* Fixed type usage with indices.

* Refactored uniform distribution implementation and tests to full conform with TF implementation.

* Refactored gamma function to use type util method.

* Copyright changes and fixes with ConstantHelper.

* Added error checking on allocate cuda device memory and operations.
2019-11-06 12:49:27 +02:00
shugeo 9124974e3b
Fixed crash with strided_slice_bp op and tests. (#29) 2019-11-05 12:49:15 +02:00
shugeo 7b14a9f603
Gamma and Poisson distributions (#27)
* Added implementation for random_gamma op.

* Added implementation for random_poisson op and support classes.

* Added helpers for random_poisson and random_gamma ops.

* Implementation of random_poisson. The first working edition.

* Implementation of random_poisson. Parallelized working edition.

* Implementation of random_gamma. Parallelized working edition with alpha only.

* Added cuda implementation for helper of poisson distribution.

* Corrected shape calculation with random_gamma and tests.

* Finished cpu implementation for gamma distribution.

* Finished cuda implementation for random_gamma op.

* Refactored cpu helpers for random_gamma and random_poisson ops.

* Refactored cuda helpers for gamma and poisson distribution.

* Refactored cuda helper for gamma distribution.

* Refactored cpu helper for random_poisson op.

* Refactored cpu helper for random_gamma op.
2019-11-04 15:42:28 +02:00
Alex Black 948ebef41c
Op Fixes (#28)
* #8280 biasadd_bp nchw arg fixes (java side) + test

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* #8285 Concat op Java side fixes

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* Concat op cpp fix - allow dynamic axis to be negative, same as static axis

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* ignores for deconv3d import tests until deconv3d_tf op is implemented

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2019-11-05 00:05:04 +11:00
Yurii Shyrma 0cdb5750e0
Shyrma concat (#24)
* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case

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* - write code for deconv2d op based on mkl dnn api

* no unsafe math

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* no unsafe math

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* - get rid of e<> and p<> methods in svd helper

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* - provide mkl api support for deconvolution 3d

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* - write deconv2d_bp based on mkl api

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* - write deconv3d_bp based on mkl api

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* - testing and fixing deconv based on mkl api

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* - remove dilation form conv2d/3d mkl

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* - minor changes

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* - further corrections of deconv ops based on mkl dnn api

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* - provide deconv2d_tf based on mkl dnn api

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* - add minor corrections required by reviewer

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2019-11-03 12:37:19 +02:00
shugeo 95f7ad7b94
Shugeo suppression overlaps (#9)
* Added non_max_suppression_overlaps op and tests.

* Refactored implementation of non_max_suppression_overlaps.

* Refactoring of implementation of non_max_suppression_overlaps op.

* Refactoring of implementation of non_max_suppression op.

* Fixed portion error.

* Added cuda frontends for image suppression ops.

* Eliminated crash with cuda arch on image.non_max_suppression_overlaps op.

* Improved implementation of image_suppression helper for cpu platform.

* The generic approach of non_max_suppression_overlaps op helper with cuda platform.

* Working cuda implementation of helper non_max_suppression_overlaps op.

* Eliminated waste comments.

* Improved implementations for both platforms

* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.

* Improved cuda implementation of non_max_suppression op helper.

* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.

* Improved cuda implementation of image.non_max_suppression_overlaps op helper.

* Added modifications into cuda implementation for image suppression overlaps op.

* Correct queue emulation with cuda implementation of non_max_suppression_overlaps op.

* Prefinal stage of cuda implementation of non_max_suppression_overlaps.

* Worked cuda implementation of non_max_suppresion_overlaps helper.

* Fixed return to proper thread.

* Improvements for cuda implementation of image.non_max_suppression_overlaps op helper.

* Fixed implementation issues with non_max_suppression_overlaps on cuda platform.

* Fixed skip for non_max_suppression_overlaps on cuda platform.

* Finalize implementation of image_suppression helper and tests.

* Cosmetic changes only.
2019-10-30 13:43:45 +02:00
Yurii Shyrma 029a69a835
Shyrma bn mkl bp (#14)
* - write code for new batchnorm backprop

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* - testing batchnorm backprop

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* - write code for batchnorm backprop based on mkl dnn api

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* - testing and fixing bugs in batchnorm_bp mkl dnn

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* - made corrections required by reviewer

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* - change name in java wrapper for batchnorm op

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2019-10-26 14:14:21 +03:00
Alex Black d333d29099
SameDiff cleanup and fixes (#12)
* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution

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* SameDiff API cleanup

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* More SameDiff cleanup

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* Small fixes

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* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour

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* #8252 TanhDerivative javadoc

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* #8225 Deconvolution2D input validation

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* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'

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* #8224 SameDiff.zero and .one create constants, not variables

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* More cleanup and fixes

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* Small test fix

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* Small fix

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* DL4J SameDiff fixes

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* Re-add hack for Deconvolution2DLayer until #8315 is resolved

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* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property

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* All ND4J init logging checks system property

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* Small tweak

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* Remove redundant device logging

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* One more fix

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* UX improvements

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* Deconv fix

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* Add deconv tests

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* Cleanup

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* Remove debug code

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2019-10-26 12:38:08 +11:00
Alexander Stoyakin f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
KDTree optimization
2019-10-23 12:11:25 +03:00
Yurii 70bd925abd - write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api 2019-10-17 20:44:52 +03:00
Alexander Stoyakin 630bb3c9b6
Merge pull request #2 from KonduitAI/asto_ops_wrapper
[WIP] New ops wrapper
2019-10-16 20:21:50 +03:00
Alexander Stoyakin 96a9a1a733 Fixed output from operation. 2019-10-16 18:07:52 +03:00
shugeo 478a0c1f97 Added igamma and igammac broadcastable ops implementations and tests. 2019-10-16 14:02:53 +03:00
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)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
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)

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

* 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

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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)
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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
raver119 f49c4ea9d0
int -> long (#108)
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2019-08-10 09:14:18 +03:00
Alex Black b8846113bd
Small number of fixes + cleanup + some missing op methods + constructors (#100)
* Remove unused op class - DefaultOpConverter

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* Add SDImage class; INDArray constructor additions

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* Floordiv

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* Small polish to image methods

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* Small DataVec test fix

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2019-08-05 22:31:46 +10:00
raver119 3c4e959e21 [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

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

* 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

Signed-off-by: Yurii <yurii@skymind.io>
2019-08-05 11:27:05 +10:00
Alex Black e18e2dc014 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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2019-08-05 11:25:48 +10:00
Ryan Nett d4e7997134 SameDiff Convolution Config validation, better output methods (#82)
* Conv Config validation & tests

Signed-off-by: Ryan Nett <rnett@skymind.io>

* 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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2019-08-05 11:24:20 +10:00
Samuel Audet dcc72e23b2 Refactor NativeOps.h to export C functions 2019-08-05 11:22:59 +10:00
raver119 7c5c84bea8 4 additional tests
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2019-08-05 11:21:23 +10:00
raver119 ce0743da17 strided_slice_bp shape fn leak fix
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2019-08-05 11:13:42 +10:00
raver119 763a225c6a [WIP] More of CUDA operations (#69)
* initial commit

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* - gruCell_bp further

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* - further work on gruCell_bp

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

* Inverse matrix cublas implementation. Partial working revision.

* Separation of segment ops helpers. Max separation.

* Separated segment_min ops.

* Separation of segment_mean/sum/prod/sqrtN ops heleprs.

* Fixed diagonal processing with LUP decomposition.

* Modified inversion approach using current state of LU decomposition.

* Implementation of matrix_inverse op with cuda kernels. Working revision.

* Implemented sequence_mask cuda helper. Eliminated waste printf with matrix_inverse implementation. Added proper tests.

* - further work on gruCell_bp (ff/cuda)

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* comment one test for gruCell_bp

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* - provide cuda static_rnn

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* Refactored random_shuffle op to use new random generator.

* Refactored random_shuffle op helper.

* Fixed debug tests with random ops tests.

* Implement random_shuffle op cuda kernel helper and tests.

* - provide cuda scatter_update

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* Implementation of random_shuffle for linear case with cuda kernels and tests.

* Implemented random_shuffle with cuda kernels. Final revision.

* - finally gruCell_bp is completed

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

* Dropout op cuda helper implementation.

* Implemented dropout_bp cuda helper.

* Implemented alpha_dropout_bp with cuda kernel helpers.

* Refactored helper.

* Implementation of suppresion helper with cuda kernels.

* - provide cpu code fot hsvToRgb, rgbToHsv, adjustHue

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

* Using sort by value method.

* Implementation of image.non_max_suppression op cuda-based helper.

* - correcting and testing adjust_hue, adjust_saturation cpu/cuda code

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

* Added cuda device prefixes to declarations.

* Implementation of hashcode op with cuda helper. Initital revision.

* rnn cu impl removed

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2019-07-20 23:20:41 +10:00
Alex Black d94bc7257c Various fixes (#65)
* #7977 deprecate legacy MultiLayerNetwork/ComputationGraph.params(boolean) method

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* Fix bad test

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* Small fixes

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* Fix Histogram mapping

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* Fix incorrect name handling in DifferentialFunction

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* More fixes

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* Histogram fixes

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* Proper histogram fix

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* ToString/NDArrayStrings fix

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* JSON UTF8 serialization fix

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2019-07-20 23:16:41 +10:00
raver119 91a8fb0d90 [WIP] More of CUDA (#63)
* less spam

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* flatten kernel

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* adjust_hue/adjust_saturation tweaks

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* adjust_hue cuda single

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* adjust_hue cuda batch

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* adjust_saturation cuda

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2019-07-20 23:15:14 +10:00
raver119 fd6c0df024 [WIP] More CUDA fixes/updates (#62)
* CUDA reallocation update

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* Legacy SoftMax/LogSoftMax/SoftMaxDerivative removed from cpp

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* SoftMaxDerivative op removed

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* few tests updates

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* RNG fixes

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* few more tests updates

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* legacy Histogram/Pooling2D removed

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* legacy Histogram removed

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* histogram moved

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* histogram moved cuda

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* Histogram custom op

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2019-07-20 23:07:42 +10:00
raver119 9cf28ea6c9 [WIP] CUDA tweaks (#60)
* special cpu concat

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* special concat fix

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* OpProfiler tweak for absent host pointers

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* minor test tweak to see orders

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* CUDA broadcasting diff orders fix

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* faster iterations

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* OldSoftMax/OldLogSoftMax gone

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* RandomLauncher tweaks

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* additional check int randomtests

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* skip prepare/register action for empty arrays

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* npz float16 fix

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* empty reduction cuda fixes

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* ShapeBufferTests tweaks

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2019-07-20 23:06:48 +10:00
raver119 c969b724bb [WIP] more CUDA stuff (#57)
* initial commit

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* Added gradcheck test for dynamic_partition_bp op.

* - implementation of dilation op (cpu and cuda)

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* Fixed broadcast_dynamic_shape 1D case and tests.

* Fixed usage of default integer arguments.

* Fixed dynamic_partition_bp op and tests.

* Eliminated test with grad check for dynamic_partition_bp op.

* start working on cuda svd - porting available corresponding api from cuSOLVER library

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* provide prelu_bp

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* - provide gruCell_bp (old version ??)

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* - polishing cumsum_bp and cumprod_bp tests

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* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad

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* Fixed atomicMul with float input/output

* implementation of cuda kernel for triu_bp operation

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* Refactored lup helper to add parrallel computing.

* cusolver libraries

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* uncomment cuSolver APIs in svd.cu

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* cusolver var

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* - further work on cuSolver svd

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* Implement usage of cuda solver to LUP decomposition.

* - correct naames in lup functions

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* correct svdQR cuda

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* - provide transpositions of input matrices in case of c order in svdCudaQR

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* Fixed implementation issues with LUP usign cuda solver.

* Implementation of matrix_determinant helper with cuda kernels. Working revision.

* Implemented log_matrix_determinant helper with cuda kernels.

* - implementation of batched cuda svd

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* Refactored cholesky helper and implementation of cuda solver cholesky batch.

* - implementation of cuda kernel for tile bp

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* Implementation of cholesky and logdet with cuda kernels.

* - implementation of cuda kernel for sru_bidirectional

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* Fixed cholesky helper.

* Cholesky op helper implementation. Working double-based cublas implementation.

* bad import excluded

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* Finished with cuda implementation of cholesky helper and tests.

* - implementation of cuda kernel for sru_bidirectional_backprop operation

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* Implementation of matrix_inverse op helper with cuda kernels. The first revision.

* - start working on gruCell_bp

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* Implementation of matrix_inverse helper.

* - further work on new gruCell_bp

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* cuBLAS related fixes

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* calculateOutputShapes() now passes device buffers as well

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* special concat/average/accumulate init host pointers now

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* few more tweaks

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* additional CudaDataBufferFactory signatures certain for data types

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* cuSolver host buffer

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* buffer to buffer memcpy host ptr allocation

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2019-07-20 23:05:21 +10:00
Alex Black cb6654bebb Add libnd4j benchmarks (#3)
This PR adds 2 libnd4j benchmarking suits
2019-07-20 22:54:44 +10:00
raver119 5708fc087a [WIP] INDArray hashCode() impl (#50)
* initial commit

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* one more initial commit

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* parallel hashCode prototype

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* longBytes for hashCode

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* INDArray hashCode java side

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* few tests fixed for MSVC

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* Small gradcheck validation util fix - hash names not SDVariables

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* Small fix + ignore for logged issue

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* - scrollable iterator fix
- sptree hashset replaced with collection

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* hashcode exception removed

* int hashCode for java
2019-07-20 22:22:11 +10:00
Alex Black cc65c01118 Op validation improvements + encoding fix (#49)
* Op validation updates

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* Small logging fix

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* #7986 Fix minor character encoding issues

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* Small ignore fix

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2019-07-20 22:21:46 +10:00
raver119 dde50ee570 Small fixes (#43)
* minor cmake changes to make macos happy

* space_to_batch/batch_to_space validation fix

* - choose op tweaks
- tests updated to match appleid tweaks

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* - get rid of bad import

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* - choose now uses shape function
- choose test updated
2019-07-20 22:19:20 +10:00
Alex Black 1170827c18 Merge master to upstream (#7945)
* Shugeo strided slice zeros (#14)

* Modified strided_slice op to properly work with empty-like shapes.

* Fixed test for reduce_mean with empty-like input.

* [WIP] Last merge (#15)

* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

* #7890 validate input rank for MLN/CG init methods

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

* Empty arrays with non-scalar shapes (#10)

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

* - couple of fixes for empty arrays construction
- stack updated

* strided slice fix

* one transform test

* provide method for reducing shapeInfo in case of input array is empty

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

* couple of tests broadcast tests + tweak to make them pass

* add check of non-empty to methods producing sub-arrays

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

* Added tests for reduce_* ops to tests with zero shapes.

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs

* Range fix

* - NDArray constructor updated for scalars/empty arrays
- few tests fixed

* More fixes

* Empty creator fixes

* concat fix

* concat fix

* TF import tests: allow 'both all NaN' and 'both all inf' to pass

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

* Fixed input checks conforming with TF for concat op and tests.

* few tests fixed

* matmul scalar shape fix

* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

* - equalsTo() tweak for empty arrays
- one more test

* broadcast tweaks

* [WIP] Fixing outstanding issues for NLP (#9)

* Avoid using not-inited objects

* Test fixed.

* Redundant method avoided for models like FastText

* KMeans++ implementation

* KMeans++ implementation

* Disable parallel execution

* KMeans++

* Tests

* Dev branch merge (#16)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Fix some issues on master (#17)

* Fix DataVec test issue

* Fix issue with dl4j SameDiff output layer

* Dtype fix for lambda layers

* #7912 BertIterator dtype fix (use float32 not global default)

* [WIP] Next set of CUDA stuff (#7)

New CUDA implementations and improvements

* bad file

* Dev branch master merge (#23)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* SameDiff ops, TF import and fixes (#24)

* CheckNumerics tests + fixes + misc fixes

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* Fake quant

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* Fixes

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* FakeQuantWithMinMaxArgs

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* CheckNumerics fix

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* Fix libnd4j ALL_INTS and ALL_FLOATS declaration (uint and bfloat types)

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* Small fix

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* Javadoc

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* Exception tweak

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* fix

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* Fix for out of scope stack allocated var use

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* Ignores

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* Ignore for known failing test (already logged issue)

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* Merge upstream to fork (#25)

* Add thousand-separator commas to TotalParams (#7915)

* Add thousand-separator commas to TotalParams

The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.

* Add thousand-separator commas to MultiLayerNetwork

Corresponding change to MultiLayerNetwork

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* Update contributing and issue/PR templates (#7934)

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* Fix link to AdaDelta paper (#7942)

Fix link to AdaDelta paper hosted on matthewzeiler.com

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* Fixes, and ignores for known/logged failing issues (#7943)

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* SameDiff + DL4J/SameDiff: Multiple fixes (#28)

* #7919 HDF5 attribute buffer length fix

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* #7909 Arbiter constructor exception ux improvements

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* #7925 RNN output layer length checks

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* #7939 Add listener for validating inputs are not incorrectly modified

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* #7939 Integrate NonInplaceValidationListener into tests

* #7844 DL4J SameDiff fixes for variable minibatch size

* DL4J SameDiff fixes - ensure gradient for input placeholder is available

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* Tweaks to ExternalErrorsFunction - use placeholders, make more robust

* Another fix

* More fixes

* More SameDiff/DL4J fixes

* Scope out scalar array creation in BaseScalarOp

* Remove debug code

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* [WIP] Final dev branch merge (#29)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* [WIP] Multiple dataset iterators (#27)

* Splitting dataset into arbitrary number

* Fixes

* Multiple split of iterator

* Test

* Test

* Some fixes

* signature change

* one more tweak

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* one more test for sequential use of DataSetIteratorSplitter

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* Fixes

* Fixes

* one more test for Alexander

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* Some fixes

* Some fixes

* one more test for Alexander

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* minor test fix

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* Some fixes

* Some fixes

* couple of assertions tweaked

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* MDS splitter test :/

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* Minor refactoring

* Multi dataset

* Some fixes

* More tests

* Small number of test fixes/improvements (failures on CI) (#31)

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* [WIP] More CUDA stuff (#26)

* initial commit

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* LRN BP CUDA

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* less memory

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* Fixed bug with crop_and_resize op helper.

* get rid of unnecessary index-calculation dunction

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* Fixed sort with nth_element cuda-based helper.

* Refactored nth_element.

* Refactored nth_element op and tests.

* Modified usage of dim array with sortTad routine.

* Refactored main routine of helper for non_max_image_suppression op.

* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.

* fix vol2col cuda kernel

* meh

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* topK concept

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* unsorted topK with scanWitdh of 1

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* correct vol2col tests

* sorted/unsorted topK

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* implementation and fixing col2im/col2vol

* Corrected usage flags with input/output with reverse op.

* dup is const now

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* percentile op

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* group tests for mapool2d

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* special test for george

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* less threads for sortTad

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* provide conv2d for cuda

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* remove auther in sort tad kernel code

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* provide depthwise_conv2d for cuda

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* - max_pooling_with_argmax
- null check for special use

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* dts cuda

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* provide sconv2d for cuda

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* std cuda

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* Refactored non_max_suppression op to conform TF implementation.

* Improved suppression helper.

* provide pooling3d for cuda

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* minor lstm rearrangements

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* more of minor lstm rearrangements

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* (bi)dynamic_rnn

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* templates init order

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* Refactored non_max_suppression op.

* Added cuda kernel for non_max_suppression.

* CPU sort by key/value

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* CPU sort TAD by key/value

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* CPU sort TAD by key/value tests

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* Eliminate compiler error with cuda implementation.

* - repaired gradCheck in cuda
- provide conv2d_bp for cuda

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* missed signature

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* provide depthwise_conv2d_bp for cuda

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* Implementation of lup helper with cuda kernel. Initial commit.

* further work on backprops for convolutions

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* CUDA linear sort by key/val

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* CUDA tad sort by key/val

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* start providing of backprop for pooling2d/3d

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* Added atomicAdd for bool datatype.

* dynamic partition concept

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* dynamic partition concept

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* dynamic partition scalar CUDA

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* important comment

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* fix pooling2d/3d backprop helpers

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* Added non-linear test with dynamic_partition.

* Improved test for dynamic_partition.

* dynamic_partition TAD concept

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* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix

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* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d

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* dynamic_stitch CUDA vector case

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* dynamic_stitch CUDA TAD case concept

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* dynamic_stitch CUDA TAD case impl

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* Added tests for dynamic_stitch 3D-4D cases.

* minor tests tweaks

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* Fixed type check for dynamic stitch.

* min/max bp

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* rewrite code for upsampling2d/3d cpu

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* reduce min/max/norm_max bp

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* lup implementation. Additional enhancements.

* provide code for upsamling2d/3d backprop

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* weightedCrossEntropyWithLogits

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* Fixed template math atomicMul for 64bit ints.

* Refactored dynamic_partition_bp op.

* inverseBroadcast fix

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* DynamicPartitionBP test datatype fixed.

* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA

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2019-06-27 18:37:04 +03:00
Alex Black 68ea5f3688
Dev branch merge: dev_20190606 (#7904)
* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

* #7890 validate input rank for MLN/CG init methods

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

* Empty arrays with non-scalar shapes (#10)

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

* - couple of fixes for empty arrays construction
- stack updated

* strided slice fix

* one transform test

* provide method for reducing shapeInfo in case of input array is empty

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

* couple of tests broadcast tests + tweak to make them pass

* add check of non-empty to methods producing sub-arrays

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

* Added tests for reduce_* ops to tests with zero shapes.

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs

* Range fix

* - NDArray constructor updated for scalars/empty arrays
- few tests fixed

* More fixes

* Empty creator fixes

* concat fix

* concat fix

* TF import tests: allow 'both all NaN' and 'both all inf' to pass

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

* Fixed input checks conforming with TF for concat op and tests.

* few tests fixed

* matmul scalar shape fix

* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

* - equalsTo() tweak for empty arrays
- one more test

* broadcast tweaks
2019-06-15 21:34:34 +10:00
skymindops b5f0ec072f Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00