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Author SHA1 Message Date
Alex Black 47d19908f4
Various fixes (#43) 
* #8172 Enable DL4J MKLDNN batch norm backward pass

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

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

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

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

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

* Unused dependencies, round 1

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

* Unused dependencies, round 2

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

* Unused dependencies, round 3

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

* Small fix

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

* Uniform distribution TF import fix

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

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

* ArrayCacheMemoryMgr - first pass

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

* 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

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

Signed-off-by: raver119 <raver119@gmail.com>
 2019-11-11 17:45:59 +03:00
raver119 929c1dc5c7 - new NDArrayFactory scalar constructor 
- minor tweak in randomuniform
- one more test

Signed-off-by: raver119 <raver119@gmail.com>
 2019-11-08 08:49:41 +03:00
raver119 51f3a1371d
[WIP] Random Uniform (#36) 
* args

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

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

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

* #8285 Concat op Java side fixes

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

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

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

* ignores for deconv3d import tests until deconv3d_tf op is implemented

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

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

* no unsafe math

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

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

* - provide mkl api support for deconvolution 3d

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

* - write deconv2d_bp based on mkl api

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

* - write deconv3d_bp based on mkl api

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

* - testing and fixing deconv based on mkl api

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

* - remove dilation form conv2d/3d mkl

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

* - minor changes

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

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

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

* - provide deconv2d_tf based on mkl dnn api

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

* - add minor corrections required by reviewer

Signed-off-by: Yurii <iuriish@yahoo.com>
 2019-11-03 12:37:19 +02:00
raver119 c94013f0a1 cc 52 -> 50 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-11-03 09:54:35 +03:00
raver119 879a06c913 few typos fixed 
Signed-off-by: raver119 <raver119@gmail.com>
 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

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

* c++ scatterUpdate changes

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

* 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

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

* - testing batchnorm backprop

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

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

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

* - testing and fixing bugs in batchnorm_bp mkl dnn

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

* - made corrections required by reviewer

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

* - change name in java wrapper for batchnorm op

Signed-off-by: Yurii <iuriish@yahoo.com>
 2019-10-26 14:14:21 +03:00
Alex Black d333d29099
SameDiff cleanup and fixes (#12) 
* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution

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

* SameDiff API cleanup

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

* More SameDiff cleanup

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

* Small fixes

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

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

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

* #8252 TanhDerivative javadoc

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

* #8225 Deconvolution2D input validation

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

* #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

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

* Small fix

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

* DL4J SameDiff fixes

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

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

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

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

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

* All ND4J init logging checks system property

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* Small tweak

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

* Remove redundant device logging

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

* One more fix

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

* UX improvements

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

* Deconv fix

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

* Add deconv tests

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

* Cleanup

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

* 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

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

* Round 2

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

* Round 3

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

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

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

* 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

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

* Fix losses and history during training

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* More fixes

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

* BiasAdd and other fixes

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

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* Small fix

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

* Cleanup

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* First steps for new dependency tracking approach

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* Start integrating dependency tracking for memory management

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

* 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

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

* Ad no-op memory manager, cleanup, fixes

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

* 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

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

* 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
shugeo 478a0c1f97 Added igamma and igammac broadcastable ops implementations and tests. 2019-10-16 14:02:53 +03:00
shugeo 7103aca8c5 Added broadcastable IGamma and IGammac ops. 2019-10-16 13:58:32 +03:00
shugeo f90e6da97e Added nd4j_gamma, nd4j_igamma and nd4j_igammac functions. 2019-10-16 13:53:31 +03:00
shugeo df2448613e Added gamma distribution functions. 2019-10-15 20:00:07 +03:00
AlexDBlack 2d750b69e5 Merge remote-tracking branch 'konduit/master' 2019-10-14 17:21:23 +11:00
shugeo ace65355c5 Added doc for fake_quant_with_min_max* op helpers cuda implementations. 2019-10-10 18:35:28 +03:00
shugeo c890de5a7b Added doc for fake_quant_with_min_max* op helpers implementations. 2019-10-10 18:31:17 +03:00
shugeo c3f755d975 Refactored helpers both for cuda and cpu platforms. 2019-10-10 18:02:49 +03:00
shugeo a09cb5e2be Added doc for fake_quant_with_min_max_per_channel op declaration. 2019-10-10 17:13:33 +03:00
shugeo 92636b0b86 Eliminated waste operator. 2019-10-10 17:08:59 +03:00
shugeo d5b352273d Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op. Final revision. 2019-10-10 16:51:29 +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 3504b0cda9 Implemented fake_quant_with_min_max_vars_per_channel fop cuda helper. The first working revision. 2019-10-10 15:44:50 +03:00
shugeo 753565145c Refactored fake_quant_with_min_max_vars op cuda implementation. 2019-10-10 14:00:49 +03:00
shugeo c13e945a96 Fixed fake_quant_with_min_max_vars op and tests. 2019-10-10 13:23:11 +03:00
shugeo 3c0c59ab88 Refactored fake_quant_with_min_max_vars op. 2019-10-09 22:09:33 +03:00
shugeo 352f1eee80 Implemented fake_quant_with_min_max_per_channel helper for cpu platform. The first approach. 2019-10-09 21:39:59 +03:00