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Author SHA1 Message Date
raver119 a5f5ac72b1
reduce bool changes (#118) 
* reduce bool changes

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

* reduce bool tweaks

Signed-off-by: raver119 <raver119@gmail.com>
 2019-12-09 20:08:59 +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
Fariz Rahman 0d14032d26 TF Updates (#87) 
* tf updates

* pom

* copyright

* graphrunner tests

* gpu test

* getSessionOptionsConfigProto

* dtype fix

* Small fix

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

* cast graphs

* savemodel test fix

* testresource instead of local

* Logging level

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* gson dependency issue fix; fix GraphRunnerTest for no session options config case

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* Final tweaks

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* few minor fixes

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* one more fix

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* Tweak configuration for GraphRunnerTest

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* nd4j align config

* tf warmup
 2019-12-04 17:11:03 +11:00
Yurii Shyrma d19eeaec52 Shyrma casual conv1d (#90) 
* - add causal mode of padding to convolutions

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* - add additional tests for causal conv1d

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* - add causal mode for cuda conv kernels

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* Java side of Conv1D changes

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* Add Conv1DDerivative op

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* Causal Conv1D gradient checks

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* Tweaks

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* - add causal padding mode to conv2d_bp

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* More thorough causal conv1d tests

Signed-off-by: Alex Black <blacka101@gmail.com>
 2019-11-29 14:14:30 +03:00
Samuel Audet 5e07998e59 Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
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

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* 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

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* missing var

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* 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

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* 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
Alex Black e910ce75ec
Various Fixes (#75) 
* #8431 Cast loss function weights array automatically

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* Add 'regex verbose mode' printing (ExecDebugListener) for TFGraphTestAllSameDiff'

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* Class import mapping fix

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* Reshape fixes

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* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)

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 2019-11-23 20:06:12 +11:00
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

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* 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

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* Refactored non_max_suppression helper.

* Refactored shape generation and input handling.

* Added additional test.
 2019-11-22 22:42:44 +03:00
Samuel Audet ff73e6da3f ND4J: Fix OpenBLAS loading for nd4j-native (#64) 
* ND4J: Fix OpenBLAS loading for nd4j-native and remove bundling of OpenMP

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* Bundle back libgomp.so.1 for Linux

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* Readd preload directories for ARM

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* Add back preloads for GCC on Windows

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* Add explicit preloadpaths for ARM and POWER to bundle correct library

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
 2019-11-21 15:54:41 +03:00
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
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
raver119 c5cbdcd8f4
[WIP] clang for jcpp (#53) 
* clang as compiler for jcpp

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* we don't need macos profile

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 2019-11-17 09:45:30 +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 c5b912bddf
few changes for openblas and jcpp preloads (on macos) (#46) 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-11-14 19:50:24 +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

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

* #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
Samuel Audet 73b5a508fc Update dependencies to just released JavaCPP and JavaCV 1.5.2 
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
 2019-11-07 17:57:34 +09:00
Alex Black d82877b18b
Various SameDiff fixes (#21) 
* MKLDNN LSTM forward implementation (disabled pending #8331)

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* #8318 add SameDiff.calculateGradientsAndOutputs

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* Disable mkldnn backprop for now - pending fix, issue #8335

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* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement

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* Small FlatBuffers serde fix, UInt8

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* #8135 ImagePreProcessingScaler - add segmentation support

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* #8319 Ensure listeners are called when they are supposed to be called

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* #8214 UNet (non-pretrained) last conv layer kernal size fix

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 2019-11-02 11:25:53 +11:00
Alexander Stoyakin b816845797
Fixing nd4j-cuda build (#20) 
* Roll back recent fix to restore build.

* Fix compilation.

* presets updated

Signed-off-by: raver119 <raver119@gmail.com>
 2019-11-01 15:59:29 +02:00
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
raver119 5a4d2e8b31
[WIP] SVD (#16) 
* - new SVD constructor
- OrthogonalDistribution now uses SVD custom op

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* shapes fixed

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 2019-10-28 12:31:01 +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
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
Robert Altena 83d958d536 Sparse matrix refactoring. (#8238) 
* remove sparse method from INDArray.

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* remove gemm

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* remove useage of n4j.sparseFactory

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* Nd4j.sparseFactory removed.

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* sparseNDArray deleted.

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* iremove more sparse calls and constants.

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* remove SparseBlasWrapper.

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* delete BaseSparseBlaswrapper.

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* remove 3 sparse factory classes.

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* delete SparseCPULevel.

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* deletes JcusparseLevel, CUDASparselevel.

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* delete nativeCPU sparse classes.

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* removes sparse methods from NDArrayFactory.

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* more deletes.

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* delete (ignored) tests. BaseSparseNDArray.

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* deletes ISparseNDArray.

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* remove sparse methods from indArray.

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* deletes sparse classes.

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 2019-09-17 22:56:29 +03:00
AlexDBlack a66e03355e Merge remote-tracking branch 'fork/master' 2019-09-12 12:20:57 +10:00
raver119 07901ceb69 few more mkldnn dependencies removed 
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 2019-09-12 04:55:59 +03:00
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
Robert Altena c99f980513 INDArray javadoc (#246) 
* javadoc

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* javadoc

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* javadoc

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* review fixes.

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 2019-09-09 13:09:31 +10:00
AlexDBlack a76a44e198 Merge remote-tracking branch 'fork/master' 2019-09-05 22:04:25 +10:00
Robert Altena f25e3e71e5 remove lengthLong (#236) 
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 2019-09-05 11:19:38 +10:00
AlexDBlack b7226bdd7a Merge 
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 2019-09-05 00:54:11 +10:00
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
raver119 7abc574eeb
Snapshot update (#8194) 
* fix double consumption of rng on cpu

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* 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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* cublasHandle sharing + lock

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* cublasHandle sharing + lock

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* Documentation from serialization/deserialization in NLP (#221)

* refactoring

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* Javadocs

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* Javadoc fixed

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* Cleanup

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* dedicated lock for getCudaCublasHandle

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* Small fixes (#223)

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* ELU DL4J fixes (#224)

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* javadoc (#225)

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* Small test compilation fix (#226)

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* #8182 remove spark version suffix (#227)

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* [WIP] Thread safety (#229)

* sync after cublas*gemm

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* mutex for CublasHelper

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* don't store cublasHandle in LaunchContext, it's per-device anyway

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* some printout

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* check for field instead

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* pew-pew

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* don't release ContextBuffers until device changed

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* small tweak

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* some logging in sgemm

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* stream sync

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* some more logging

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* some more error checks

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* one fancy test

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* one fancy test

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* minor AffinityManager fix

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* cudaEvent error logging improvement

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* ConstantHelper thread safety

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* - minor corrections in ConstantTadHelper

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* ConstantShapeHelper thread safety

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* ConstantTadHelper.cu updated

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* logging off

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* logging off

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 2019-09-03 22:02:02 +03:00
raver119 dddc8a1143
[WIP] Thread safety (#229) 
* sync after cublas*gemm

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* mutex for CublasHelper

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* don't store cublasHandle in LaunchContext, it's per-device anyway

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* some printout

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* check for field instead

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* pew-pew

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* don't release ContextBuffers until device changed

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* small tweak

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* some logging in sgemm

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* stream sync

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* some more logging

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* some more error checks

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* one fancy test

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* one fancy test

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* minor AffinityManager fix

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* cudaEvent error logging improvement

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* ConstantHelper thread safety

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* - minor corrections in ConstantTadHelper

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* ConstantShapeHelper thread safety

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* ConstantTadHelper.cu updated

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* logging off

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* logging off

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 2019-09-03 22:00:38 +03:00
raver119 d3253aff3f dedicated lock for getCudaCublasHandle 
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 2019-09-02 20:01:13 +03:00
raver119 2129d5bcac cublasHandle sharing + lock 
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 2019-09-02 16:52:28 +03:00
raver119 18828f9725 cublasHandle sharing + lock 
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 2019-09-02 16:52:10 +03:00
AlexDBlack 7ded4416cb Merge remote-tracking branch 'fork/master' 2019-09-02 18:52:12 +10:00
Alex Black 82c9dc5743
ELU fix (#219) 
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 2019-09-02 18:37:05 +10:00
Robert Altena 6d04d30c94 INDArray.java javadoc (#215) 
* javadoc

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* javadoc

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 2019-09-02 16:06:20 +10:00
Robert Altena ef1de6a4aa rcorbish #8617 (#8188) 
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
 2019-09-01 07:17:36 +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
Alex Black dcc2baa676
Version upgrades (#199) 
* DataVec fixes for Jackson version upgrade

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* DL4J jackson updates + databind version 2.9.9.3

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* Shade snakeyaml along with jackson

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* Version fix

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* Switch DataVec legacy JSON format handling to mixins

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* Next set of fixes

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* Cleanup for legacy JSON mapping

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* Upgrade commons compress to 1.18; small test fix

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* New Jackson backward compatibility for DL4J - Round 1

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* New Jackson backward compatibility for DL4J - Round 2

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* More fixes, all but legacy custom passing

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* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format

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* Legacy deserialization cleanup

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* Small amount of polish - legacy JSON

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* Upgrade guava version

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* IEvaluation legacy format deserialization fix

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* Upgrade play version to 2.7.3

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* Update nd4j-parameter-server-status to new Play API

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* Update DL4J UI for new play version

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* More play framework updates

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* Small fixes

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* Remove Spark 1/2 adapter code from DataVec

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* datavec-spark dependency cleanup

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* DL4J spark updates, pt 1

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* DL4J spark updates, pt 2

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* DL4J spark updates, pt 3

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* DL4J spark updates, pt 4

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* Test fix

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* Another fix

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* Breeze upgrade, dependency cleanup

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* Add Scala 2.12 version to pom.xml

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* change-scala-versions.sh - add scala 2.12, remove 2.10

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* Move Spark version properties to parent pom (now that only one spark version is supported)

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* DataVec Play fixes

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* datavec play dependency fixes

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* Clean up old spark/jackson stuff

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* Cleanup jackson unused dependencies

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* Dropping redundant dependency

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* Removed scalaxy dependency

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* DataVec fixes for Jackson version upgrade

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* DL4J jackson updates + databind version 2.9.9.3

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* Shade snakeyaml along with jackson

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* Version fix

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* Switch DataVec legacy JSON format handling to mixins

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* Next set of fixes

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* Cleanup for legacy JSON mapping

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* Upgrade commons compress to 1.18; small test fix

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* New Jackson backward compatibility for DL4J - Round 1

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* New Jackson backward compatibility for DL4J - Round 2

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* More fixes, all but legacy custom passing

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* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format

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

* Legacy deserialization cleanup

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

* Small amount of polish - legacy JSON

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

* Upgrade guava version

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

* IEvaluation legacy format deserialization fix

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

* Upgrade play version to 2.7.3

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

* Update nd4j-parameter-server-status to new Play API

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

* Update DL4J UI for new play version

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

* More play framework updates

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

* Small fixes

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

* Remove Spark 1/2 adapter code from DataVec

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

* datavec-spark dependency cleanup

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* DL4J spark updates, pt 1

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* DL4J spark updates, pt 2

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* DL4J spark updates, pt 3

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* DL4J spark updates, pt 4

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* Test fix

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* Another fix

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

* Breeze upgrade, dependency cleanup

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* Add Scala 2.12 version to pom.xml

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

* change-scala-versions.sh - add scala 2.12, remove 2.10

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

* Move Spark version properties to parent pom (now that only one spark version is supported)

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

* DataVec Play fixes

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

* datavec play dependency fixes

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* Clean up old spark/jackson stuff

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* Cleanup jackson unused dependencies

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* Add shaded guava

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

* Dropping redundant dependency

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

* Removed scalaxy dependency

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

* Ensure not possible to import pre-shaded classes, and remove direct guava dependencies in favor of shaded

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

* ND4J Shaded guava import fixes

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* DataVec and DL4J guava shading

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* Arbiter, RL4J fixes

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* Build fixed

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

* Fix dependency

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

* Fix bad merge

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

* Jackson shading fixes

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

* Set play secret, datavec-spark-inference-server

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

* Fix for datavec-spark-inference-server

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

* Arbiter fixes

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

* Arbiter fixes

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

* Small test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
 2019-08-30 14:35:27 +10:00
raver119 b472d7d8c8
[WIP] few more fixes (#182) 
* one noop test

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

* skip input validation for no-input ops

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

* - one more noop empty test
- one more validation before sync

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

* typo

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* one more validation fix

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* CUDA empty reductions java side

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

* one svd test

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

* Corrected segment_mean helpers and added another test.

* Refactored segment_mean kernels to avoid race_condition.
 2019-08-27 21:00:38 +03:00
raver119 a49f7c908b
[WIP] More fixes (#178) 
* skip string arrays for device validation

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

* histogram_fixed_width now really supports indexing types

Signed-off-by: raver119 <raver119@gmail.com>
 2019-08-27 13:21:01 +03:00
raver119 05d45ec050 IndexReduce along dim CUDA fix 
Signed-off-by: raver119 <raver119@gmail.com>
 2019-08-27 11:31:59 +03:00
raver119 df84bc7255
[WIP] More tweaks (#173) 
* CUDA empty reduction

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

* - listdiff synchronization fix for CUDA
- listdiff test

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

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

Signed-off-by: raver119 <raver119@gmail.com>
 2019-08-27 10:37:10 +03:00