Commit Graph

233 Commits (4187190609fa7df2b9de995a848fdf66d373e83e)

Author SHA1 Message Date
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 064a56ccf1
Few fixes (#66)
* skip legacy transforms execution in case of empty input arrays

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* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads

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* java side

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* trigger jenkins

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* update LessThanOrEqual opNum mapping

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* update LessThanOrEqual opNum mapping

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2019-11-21 15:43:03 +03:00
raver119 83cb0d9329
[WIP] Create and small fix (#67)
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea

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* 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 59e955cedc
- MKL-DNN version upgrade to 1.1.x (#62)
- MKL-DNN namespace changes to match DNNL rename

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2019-11-20 13:23:08 +03:00
raver119 7898f3c0cc
fix for is_increasing/non_decreasing ops for empty input case (#63)
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2019-11-20 11:12:15 +03:00
Yurii Shyrma 66b84b38cf
Shyrma mmul (#58)
* - get rid of some copy procedures in mmulHelper ops

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* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class

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* - further work on cuda batched gamm api

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* - write own cuda kernel performing batched gemm

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* missing include in MmulHelper

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* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future

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* disable old tensordot

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* - rewrite cuda kernels for usualGemm and usualGemv

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* - profiling mmul helpers

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* - prints to check shapes were added

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* - correct type of output array Cin mmulNxN

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* - take into account possible nans in C array

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* slightly change numThreads message

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* - make corrections in accordance to given notes in pr review

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2019-11-19 15:39:36 +02:00
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

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* Fix float property mapping (flatbuffers)

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* 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 db7ca956c5
[WIP] Mish (#55)
* Mish activation function and its derivative

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* signature fix

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* mish as activation for dl4j

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* javadoc

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* minor optimization

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2019-11-18 13:21:26 +03:00
raver119@gmail.com 9101a0ee15 build fix for clang
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2019-11-16 22:18:50 +03:00
Alex Black 09a827fb6d
Fixes and pre-release QA (#51)
* #8395 Keras import - support scaled identity weight init

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* More Keras scaled weight init fixes

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* #8352 Deprecate duplicate SamplingDataSetIterator class

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* Remove /O2 optimization for faster CUDA build

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* Tweak regression test precision for CUDA

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* Fix edge cases for buffer creation

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* Update MKLDNN validation tests to new helper enable/disable settings

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* Delete debugging class

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* MKLDNN test - add proper skip for CUDA backend

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* Align WeightInitUtil with weight init classes

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* Fix for SameDiff test layers weight init when using IWeightInit classes

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2019-11-16 17:04:29 +11:00
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
Yurii Shyrma 62d8e0d409 - make agreement between our and mkl api dilation/padding formulas (#47)
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-14 20:21:22 +03:00
raver119 1eb3de90d7
[WIP] Platform helpers switches (#44)
* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well

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* global platform-helpers trigger

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* few signatures renamed

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* - few new env variables to follow
- maxThreads/masterThreads differentiation

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* Javadoc update

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2019-11-14 14:35:02 +03:00
Alex Black 47d19908f4
Various fixes (#43)
* #8172 Enable DL4J MKLDNN batch norm backward pass

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* #8382 INDArray.toString() rank 1 brackets / ambiguity fix

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* #8308 Fix handful of broken links (inc. some in errors)

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* Unused dependencies, round 1

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* Unused dependencies, round 2

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* Unused dependencies, round 3

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* Small fix

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* Uniform distribution TF import fix

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2019-11-14 19:38:20 +11:00
raver119 48df1acdfb
[WIP] ThreadPool (#8)
This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
raver119 f05c6ee139 INLINE_LOOPS for windows
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-12 15:12:31 +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 cd961727bb
[WIP] perf tests (#40)
* special maxpool test

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* special maxpool test

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2019-11-11 17:45:59 +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
raver119 4276e63054 one more test
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2019-11-07 08:49:27 +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
AlexDBlack 7583ccfa15 Merge
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-06 13:28:03 +11:00
Yurii Shyrma 871f3bb3e6
- add additional condition in svd helper to take into account rounding errors (#31)
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-05 17:16:17 +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

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

* - 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
raver119 c94013f0a1 cc 52 -> 50
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2019-11-03 09:54:35 +03:00
raver119 879a06c913 few typos fixed
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2019-11-01 09:13:15 +03:00
Alexander Stoyakin 45a40c8a89
DL4J/ND4J: Do pass on integer casts (#15)
* Int cast fixes.

* Revert "Int cast fixes."

This reverts commit aa36e8ca

* Int casts

* Int cast

* Int casts

* Get rid of int casts. Dropping deprecated aggregate ops.

* java scatterUpdate changes

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* c++ scatterUpdate changes

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* Remove aggregated ops.

* Restored test

* Tests restored.

* Minor fixes
2019-10-31 11:23:09 +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

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-26 12:38:08 +11:00
Alex Black 3f0b4a2d4c
SameDiff execution, TF and memory management overhaul (#10)
* SameDiff execution memory management improvements, round 1

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* Round 2

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* Round 3

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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs

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* Next steps

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* Next step

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* Cleanup

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* More polish

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* Fix

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* Add WeakIdentityHashmap

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* Session fixes for control ops and next steps

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* More fixes

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* Fixes

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* First steps for training session + in-line updating

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* Next steps

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* Fix losses and history during training

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* More fixes

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* BiasAdd and other fixes

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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)

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* Small fix

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* Cleanup

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* First steps for new dependency tracking approach

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* Start integrating dependency tracking for memory management

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* Non-control op dependency tracking works/passes

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* Switch/merge

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* Next steps

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* Cleanup and next steps

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* Small fixes

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* Fix issue dependency tracking for initial variables/constants

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* Add check for aliases when determining if safe to close array

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* First pass on new TF graph import class

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* Import fixes, op fixes

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* Cleanup and fixes for new TF import mapper

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* More cleanup

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* Partial implementation of new dependency tracker

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* Next steps

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* AbstractDependencyTracker for shared code

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* Overhaul SameDiff graph execution (dependency tracking)

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* More fixes, cleanup, next steps

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* Ad no-op memory manager, cleanup, fixes

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* Fix switch dependency tracking

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* INDArray.toString: no exception on closed arrays, just note closed

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* Fix enter and exit dependency tracking

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* TensorArray memory management fixes

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* Add unique ID for INDArray instances

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* Fix memory management for NextIteration outputs in multi-iteration loops

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* Remove (now unnecessary) special case handling for nested enters

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* Cleanup

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* Handle control dependencies during execution; javadoc for memory managers

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* Cleanup, polish, code comments, javadoc

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* Cleanup and more javadoc

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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released

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* Clean up arrays waiting on unexecuted ops at the end of execution

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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames

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* Fix order of operation issues for dependency tracker

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* Always clear op fields after execution to avoid leaks or unintended array reuse

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* Small fixes

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* Re-implement dtype conversion

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* Fix for control dependencies execution (dependency tracking)

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* Fix TF import overrides and filtering

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* Fix for constant enter array dependency tracking

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* DL4J Fixes

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* More DL4J fixes

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* Cleanup and polish

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* More polish and javadoc

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* More logging level tweaks, small DL4J fix

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* Small fix to DL4J SameDiffLayer

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* Fix empty array deserialization, add extra deserialization checks

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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests

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* Variable control dependencies serialization fix

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* Fix issue with removing inputs for ops

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* FlatBuffers NDArray deserialization fix

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* FlatBuffers NDArray deserialization fix

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* Small fix

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* Small fix

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* Final cleanup/polish

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2019-10-23 21:19:50 +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 8f3eaebda5 - replace condition isScalar() by condition length ==1 in some NDArray methodds
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-21 16:25:13 +03:00
Yurii 99be467f76 - minor change in recurrent.h
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-17 20:46:51 +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
shugeo 3662657d5c
Merge pull request #1 from KonduitAI/shugeo_gamma
Shugeo gamma
2019-10-16 18:49:33 +03:00
shugeo 24a2b2933f Added gamma and lgamma functions. 2019-10-16 18:22:18 +03:00
Alexander Stoyakin 96a9a1a733 Fixed output from operation. 2019-10-16 18:07:52 +03:00
shugeo 7617682a46 Added declarations for igamma and igammac ops. 2019-10-16 14:45:10 +03:00