Serhii Shepel
9cf197c243
Update to version 1.0.0-beta6
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Signed-off-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
2019-12-13 17:26:18 +02:00
raver119
a5f5ac72b1
reduce bool changes ( #118 )
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* 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 )
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* 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 )
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* 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 )
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* - add causal mode of padding to convolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add additional tests for causal conv1d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add causal mode for cuda conv kernels
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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
Signed-off-by: Yurii <iuriish@yahoo.com>
* More thorough causal conv1d tests
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-11-29 14:14:30 +03:00
Samuel Audet
5e07998e59
Add support for CUDA 10.2 ( #89 )
2019-11-29 16:31:03 +11:00
shugeo
009007120b
Shugeo_release_fixes3 ( #81 )
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* Implementation for non_max_suppression_v3 was added. Initial version
* Added check for overcome threshold.
* Added definition for V3 method.
* java remapping for NonMaxSuppressionV3
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed proporly processing of an empty output and test.
* Refactored op to less threshold data to float.
* Implemented cuda-based helper for non_max_suppression_v3 op.
* Fixed fake_quant_with_min_max_vars op.
* Fixed tests with float numbers.
* - assert now stops execution
- sortByKey/sortByValue now have input validation
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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 )
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* #8431 Cast loss function weights array automatically
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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 )
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* 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 )
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* ND4J: Fix OpenBLAS loading for nd4j-native and remove bundling of OpenMP
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Bundle back libgomp.so.1 for Linux
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Readd preload directories for ARM
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Add back preloads for GCC on Windows
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* 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 )
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* skip legacy transforms execution in case of empty input arrays
Signed-off-by: raver119 <raver119@gmail.com>
* - 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 )
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* - 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 )
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* - get rid of some copy procedures in mmulHelper ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - 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 )
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* clang as compiler for jcpp
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* 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 )
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* 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 )
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Signed-off-by: raver119 <raver119@gmail.com>
2019-11-14 19:50:24 +03:00
raver119
1eb3de90d7
[WIP] Platform helpers switches ( #44 )
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* - 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 )
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* #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)
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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
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 )
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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
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Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-07 17:57:34 +09:00
Alex Black
d82877b18b
Various SameDiff fixes ( #21 )
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* MKLDNN LSTM forward implementation (disabled pending #8331 )
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 11:25:53 +11:00
Alexander Stoyakin
b816845797
Fixing nd4j-cuda build ( #20 )
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* 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 )
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* 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 )
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* - 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 )
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* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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 )
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* 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
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KDTree optimization
2019-10-23 12:11:25 +03:00
Robert Altena
83d958d536
Sparse matrix refactoring. ( #8238 )
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* remove sparse method from INDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* 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
...
Signed-off-by: raver119 <raver119@gmail.com>
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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Signed-off-by: Robert Altena <Rob@Ra-ai.com>
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 )
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* 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 )
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* 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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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 18:37:05 +10:00
Robert Altena
6d04d30c94
INDArray.java javadoc ( #215 )
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* javadoc
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* javadoc
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2019-09-02 16:06:20 +10:00
Robert Altena
ef1de6a4aa
rcorbish #8617 ( #8188 )
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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 )
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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
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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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch DataVec legacy JSON format handling to mixins
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next set of fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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
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
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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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* Add shaded guava
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* Dropping redundant dependency
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Removed scalaxy dependency
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* Ensure not possible to import pre-shaded classes, and remove direct guava dependencies in favor of shaded
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* 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
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* Set play secret, datavec-spark-inference-server
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for datavec-spark-inference-server
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* Arbiter fixes
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* Arbiter fixes
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* 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
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* - one more noop empty test
- one more validation before sync
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* typo
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* one more validation fix
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* CUDA empty reductions java side
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* one svd test
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* 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 )
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* skip string arrays for device validation
Signed-off-by: raver119 <raver119@gmail.com>
* histogram_fixed_width now really supports indexing types
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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