064a56ccf1
Few fixes ( #66 )
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* 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
66b84b38cf
Shyrma mmul ( #58 )
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* - 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
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
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
929c1dc5c7
- new NDArrayFactory scalar constructor
...
- minor tweak in randomuniform
- one more test
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2019-11-08 08:49:41 +03:00
08853c7829
Shugeo random uniform int ( #30 )
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* Corrected randomuniform declaration.
* Refactored uniform distribution for both cuda and cpu platforms.
* Refactored uniform distribution and tests.
* Fixed type usage with indices.
* Refactored uniform distribution implementation and tests to full conform with TF implementation.
* Refactored gamma function to use type util method.
* Copyright changes and fixes with ConstantHelper.
* Added error checking on allocate cuda device memory and operations.
2019-11-06 12:49:27 +02:00
c94013f0a1
cc 52 -> 50
...
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2019-11-03 09:54:35 +03:00
879a06c913
few typos fixed
...
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2019-11-01 09:13:15 +03:00
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
d333d29099
SameDiff cleanup and fixes ( #12 )
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* #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
8f3eaebda5
- replace condition isScalar() by condition length ==1 in some NDArray methodds
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Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-21 16:25:13 +03:00
70bd925abd
- write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api
2019-10-17 20:44:52 +03:00
2d750b69e5
Merge remote-tracking branch 'konduit/master'
2019-10-14 17:21:23 +11:00
78443ffebf
Working implementation of draw_bounding_boxes op for cpu.
2019-10-07 15:04:44 +03:00
44a8d19ac6
[WIP] Broadcast changes ( #8257 )
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* - provide correct call NDArray::applyBroadcast inside of NDArray::applyTrueBroadcast
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* - provide new trueBroadcast helper
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* example for yurii
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* - provide new trueBroadcast helper for cpu
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* - start working on new trueBroadcat helper for cuda
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* - further work on trueBroadcast for cuda
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* - fix bugs in cuda helper trueBroadcast
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2019-10-01 09:10:19 +03:00
a66e03355e
Merge remote-tracking branch 'fork/master'
2019-09-12 12:20:57 +10:00
98e2814879
Platform helpers ( #8216 )
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* 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
589401477d
[WIP] bunch of improvements ( #257 )
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* - profiling bias_add op
- add some docementation
Signed-off-by: Yurii <yurii@skymind.io>
* - minor change
Signed-off-by: Yurii <yurii@skymind.io>
* - provide addBias cuda kernel
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* - improve shape::getIndexOfffset and change its signature
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* - same as previous
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* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements
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* - minor changes in flatten
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* - add function shape::getIndexOffsetOrdered
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* - correct shape::getIndexOffsetOrdered()
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* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function
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2019-09-11 20:12:09 +03:00
b7226bdd7a
Merge
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 00:54:11 +10:00
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
6cc887bee9
Rename flatbuffers DataType to DType ( #228 )
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* Rename flatbuffers DataType enum to DType
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* Rename flatbuffers DataType enum to DType
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* Updates for flatbuffers datatype enum renaming
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2019-09-04 16:36:11 +10:00
f6f9437a36
get back cc 7.0 support for cuda 9.2
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2019-09-03 09:26:35 +03:00
e42c34ca55
[WIP] minor ( #218 )
...
* - initial docs commit
- merge* cuda fix
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* one more fix
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* one more fix
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2019-09-02 11:25:48 +03:00
b71c993ded
[WIP] maxpool_bp cuda fix ( #212 )
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* one test for alex
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* fix
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* get rid of safety offset in cpp
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* bfloat16
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* minor test rearrangement to fastpath launch
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* - atomicAdd/Mul/Div fix for float16/bfloat16 misalignment
- one special test for maxpoolbp java
- safety offset of 8 bytes is back to libnd4j legacy
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2019-08-31 20:57:05 +03:00
1003428a18
[WIP] Int broadcastables ( #195 )
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* 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
b472d7d8c8
[WIP] few more fixes ( #182 )
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* one noop test
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* 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
df84bc7255
[WIP] More tweaks ( #173 )
...
* CUDA empty reduction
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* - listdiff synchronization fix for CUDA
- listdiff test
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* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output
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2019-08-27 10:37:10 +03:00
25e5c23eae
[WIP] Error handling ( #169 )
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* CUDA reverse rewrite + couple of tests
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* don't throw exception on invalid pointer
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* data types validation for fastpath exec mode + 2 tests
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* data types validation for fastpath exec mode + 2 tests
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* ismax allowed dtypes tweak
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* lastErrorCode + lastErrorMessage for native exceptions handling
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* exportable ErrorReference
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* check error codes in java
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* - consume lastErrorCode
- fast_in dtype validation fix
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* - sg/cb allowed output type change
- minor logging fix for data type validation
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2019-08-26 19:57:51 +03:00
daf5420f4c
cmake fix for windows debug build
...
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2019-08-26 08:13:22 +03:00
b091e972ef
- string NDArray flat serde impl + tests ( #163 )
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- string NDArray equalsTo impl
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2019-08-24 14:16:34 +03:00
f8364997c0
[WIP] maxpool2d_bp fix ( #160 )
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* one test for maxpool2d_bp
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* - maxpool2d_bp cuda fix for NaNs
- streamSync after each custom op execution
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2019-08-24 09:20:57 +03:00
eea3062ccf
[WIP] stb/bts nd ( #144 )
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* - start working on space_to_batch_nd
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* - provide cpu helper for space_to_batch_nd op
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* few typos fixed
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* - add tests for space_to_batch and correct bugs
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* - write cuda kernel for space_to_batch op
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* - add order argument to shape::index2coords method in convolution cuda ops
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* - restore some previous code
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* old col2im kernel activated
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* - change coords calculation in col2im kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - restore old col2im kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - add custom op for batch_to_space
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* - provide cpu version for batch_to_space_nd op
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* - provide cuda kernel for batch_to_space_nd op
Signed-off-by: Yurii <yurii@skymind.io>
2019-08-21 21:11:46 +03:00
e604ffe0d2
[WIP] repeat op ( #143 )
...
* - write new repeat helper (cpu)
Signed-off-by: Yurii <yurii@skymind.io>
* - update NDArray::cpu
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* - update NDArray::repeat cuda
Signed-off-by: Yurii <yurii@skymind.io>
2019-08-21 21:10:29 +03:00
d9ab299759
[WIP] Minor fixes ( #140 )
...
* - Tile java shape fn removed
- Tile 0 validation added
- scatter_upd test
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* additional tile validation
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* - provide vector case in cuda scatter op
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* cpu ismax view fix
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* exp
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* cuda ismax fix
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2019-08-21 15:05:47 +03:00
4310e87860
include path fix for java
...
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2019-08-21 07:32:21 +03:00
269d508ba5
[WIP] cross-device migrations ( #134 )
...
* two more tests fixed
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* CUDA device afinity tweaks
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* minor tweaks
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* prepareAction/registerAction for CustomOps
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* lazy allocate host bufer before relocation
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* one special test for migration in cpp
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* tests update for msvc
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* logging
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* stick to old col2im impl
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* cudaStreams reorganization
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* buffer size fix
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* c++ data migration
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* fix CropAndResize test
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* - minor improvment
Signed-off-by: Yurii <yurii@skymind.io>
2019-08-20 18:52:41 +03:00
23c8738d4a
syncthreads ( #136 )
...
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2019-08-20 18:28:43 +03:00
aceb915557
[WIP] tests fixes ( #130 )
...
* no openmp for ClipByGlobalNorm
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* one more bfloat16 rng test
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* assertion fix
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* - legacy IsMax gone
- linear IsMax gets shapeInfo argument
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* get rid of legacy IsMax tests
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* IsMax is custom op now
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* more blocks for ismax
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* one more test
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* - sqrt test
- some legacy code removed from CudaExecutioner
- Transforms.asin tweaks
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* - TransformFloat fix
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* - ismax fix
- SpaceToBatchND/BatchToSpaceND wrappers
- couple of legacy tests removed
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2019-08-19 11:33:15 +03:00
f083b96c74
Shugeo cuda tests ( #116 )
...
* Added tests for get_seed/set_seed ops.
* Added missed tests for scatter_sub/mul/div ops.
* Added tests for hardsigmoid and hardsigmoid_bp.
* Added tests for hardtanh and hardtanh_bp ops.
* Added test for histogram op.
* Added tests for identity op.
* Refactored mergemaxindex op. Added tests for log1p,mergemaxindex, mod and mod_bp ops.
* Fixed tests for FloorDiv.
* Added test for rank op.
* Added tests for rationaltanh/rationaltanh_bp ops.
* Added tests for realdiv/realdiv_bp.
* Added tests for rectifiedtanh/_bp ops.
* Added tests for shapes_of op.
* Added tests for shapes_of op.
* Added tests for size op.
* Added tests for softplus/_bp ops.
* Added tests for softsign/_bp ops.
* Added tests for toggle_bits op. Fixed processing of OP_IMPL and so on defititions.
* Added test for truncatediv op.
* Added another test for truncatediv op.
* Added another test for histogram.
* Added tests for unstack_list op.
* Refactored to_int32/uint32/float16/float32/double/int64/uint64 ops and tests.
* Refactored mergemaxindex op helper for cuda platform and tests.
* Fixed cuda kernel for histogram op helper.
* Refactor skipgram to avoid early buffers shift.
* Fixed check up with non_max_suppression op cuda helper. Added cuda kernel implementation for skipgram op helpers.
* Added implementation of skipgram op helper for cuda platform. Working revision
* Fixed mergeMaxIndex kernel and move it to separate source file.
2019-08-15 13:54:47 +03:00
6264530dd8
[WIP] bitwise ops ( #115 )
...
* - cyclic_shift_bits + test
- shift_bits + test
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* OMP_IF replacement
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2019-08-15 11:49:50 +03:00
c7277729e9
few fixes for bfloat16 in java and cpp ( #114 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-14 21:51:42 +03:00
53ca9a76e8
[WIP] multi-device support ( #80 )
...
* fix pad javadoc and @see links. (#72 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* [WIP] More fixes (#73 )
* special tests for ConstantTadHelper/ConstantShapeHelper
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* release methods for data buffers
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* delete temporary buffer Java side
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* delete temporary buffer Java side
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* delete temporary TadPack C++/Java side (#74 )
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* Zoo model TF import test updates (#75 )
* argLine fix, update compression_gru comment
* updated comment for xception
* undid but commented argLine change
* updated xlnet comment
* copyright headers
* - new NDArray methods like()/ulike() (#77 )
- fix for depthwise_conv2d_bp + special test
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* upsampling2d fix CUDA
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* DL4J trace logging (#79 )
* MLN/CG trace logging for debugging
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* Tiny tweak
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* strided_slice_bp shape fn leak fix
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* SameDiff fixes and naming (#78 )
* remove SDVariable inplace methods
* import methods
* npe fix in OpVal
* removed SameDiff inplace ops from tests
* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything
* quick fixes
* javadoc
* SDVariable eval with placeholders
* use regex match
* better matching
* initial commit
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* initial commit
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* fix javadoc. (#76 )
* fix javadoc.
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* replace most @see with @link s.
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* 4 additional tests
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* launch context reorganization
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* LaunchContext reorganization
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* per-device LaunchContext
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* Various DL4J/ND4J fixes (#81 )
* #7954 Force refresh of UI when switching tabs on overview page
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* #8017 Concurrent modification exception (synchronize) fix
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* #8033 Don't initialize updater in middle of writing memory crash dump
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* #8208 Fix shape checks for ND4J int[] creator methods
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* #6385 #7992 Keras import naming fixes + cleanup
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* #8016 Upsampling3D - add NDHWC format support
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* ContextBuffers as separate entity
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* Refactor NativeOps.h to export C functions
* Actually export functions from NativeOps.h
* Adapt the Java wrappers in ND4J generated with JavaCPP
* Create C wrappers for some of the C++ classes currently used by ND4J
* ContextBuffers as separate entity
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* remove duplicate code in createBufferDetached. (#83 )
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* Keras model import - updater lr fix (#84 )
* Keras model import - updater lr fix
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* Keras model import - updater lr fix, cleanup
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* ContextBuffers as separate entity
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* ContextBuffers as separate entity
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* Fix functions of OpaqueVariablesSet
* thread-local buffers/affinity
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* thread safety for LaunchContext
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* more of thread safety
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* one more multi threaded test
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* SameDiff Convolution Config validation, better output methods (#82 )
* Conv Config validation & tests
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* stackOutputs utility method
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* use constructor for validation, support negative kernel sizes (infered from weights)
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* better output methods
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* move output to be with fit and evaluate
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* fixes
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* more fixes
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* refactor duplicate code from pad methods. (#86 )
* refactor duplicate code from pad methods.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* replace switch with if.
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* Various ND4J/DL4J fixes and improvements (#87 )
* Reshape and reallocate - small fixes
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* Reshape and reallocate - small fixes
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* #6488 ElementWiseVertex broadcast support
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* Constructors and broadcast supported it Transforms.max/min
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* #8054 ElementWiseVertex now supports broadcast inputs
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* #8057 Nd4j.create overload dtype fix
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* #7551 ND4J Shape validation fix
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* [WIP] Numpy boolean import (#91 )
* numpy bool type
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* numpy bool java side
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* remove create method with unused parameter. (#89 )
* remove create method with unused parameter.
* removed more unused methods.
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* removing more unused code.
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* last removal of unused code.
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* remove createSparse methods. (#92 )
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* Various ND4J/DL4J fixes (#90 )
* Deprecate Old*Op instances
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* #8063 #8054 Broadcast exceptions + cleanup inplace ops
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* Small fix
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* Remove bad test condition
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* #7993 Fix shape function issue in crop_and_resize op
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* DL4J SameDiff lambda layer fix
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* #8029 Fix for pnorm backprop math
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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93 )
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* createUninitializedDetached refactoring. (#94 )
* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
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* createUninitializedDetached refactored.
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* cuda build fix for issues introduced by recent refactoring
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* [WIP] More of CUDA (#95 )
* initial commit
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* Implementation of hashcode cuda helper. Working edition.
* Fixed parallel test input arangements.
* Fixed tests for hashcode op.
* Fixed shape calculation for image:crop_and_resize op and test.
* NativeOps tests. Initial test suite.
* Added tests for indexReduce methods.
* Added test on execBroadcast with NDArray as dimensions.
* Added test on execBroadcastBool with NDArray as dimensions.
* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.
* Added tests for execReduce with scalar results.
* Added reduce tests for non-empty dims array.
* Added tests for reduce3.
* Added tests for execScalar.
* Added tests for execSummaryStats.
* - provide cpu/cuda code for batch_to_space
- testing it
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* - remove old test for batch_to_space (had wrong format and numbers were not checked)
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* Fixed complilation errors with test.
* Added test for execTransformFloat.
* Added test for execTransformSame.
* Added test for execTransformBool.
* Added test for execTransformStrict.
* Added tests for execScalar/execScalarBool with TADs.
* Added test for flatten.
* - provide cpu/cuda code for space_to_Batch operaion
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* Added test for concat.
* comment unnecessary stuff in s_t_b
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* Added test for specialConcat.
* Added tests for memcpy/set routines.
* Fixed pullRow cuda test.
* Added pullRow test.
* Added average test.
* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)
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* - debugging and fixing cuda tests in JavaInteropTests file
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* - correct some tests
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* Added test for shuffle.
* Fixed ops declarations.
* Restored omp and added shuffle test.
* Added convertTypes test.
* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.
* Added sort tests.
* Added tests for execCustomOp.
* - further debuging and fixing tests terminated with crash
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* Added tests for calculateOutputShapes.
* Addded Benchmarks test.
* Commented benchmark tests.
* change assertion
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* Added tests for apply_sgd op. Added cpu helper for that op.
* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.
* Added test for assign broadcastable.
* Added tests for assign_bp op.
* Added tests for axpy op.
* - assign/execScalar/execTransformAny signature change
- minor test fix
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* Fixed axpy op.
* meh
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* - fix tests for nativeOps::concat
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* sequential transform/scalar
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* allow nested parallelism
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* assign_bp leak fix
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* block setRNG fix
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* enable parallelism by default
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* enable nested parallelism by default
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* Added cuda implementation for row_count helper.
* Added implementation for tnse gains op helper.
* - take into account possible situations when input arrays are empty in reduce_ cuda stuff
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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.
* Added kernel for tsne/symmetrized op heleper.
* Implementation of tsne/symmetrized op cuda helper. Working edition.
* Eliminated waste printfs.
* Added test for broadcastgradientargs op.
* host-only fallback for empty reduce float
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* - some tests fixes
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* - correct the rest of reduce_ stuff
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* - further correction of reduce_ stuff
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* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
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* - provide cuda kernel for gatherND operation
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* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
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* minor tests tweaks
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* - further correction of cuda stuff
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* Implementatation of cbow op helper with cuda kernels. Working edition.
* Skip random testing for cudablas case.
* lstmBlockCell context fix
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* Added tests for ELU and ELU_BP ops.
* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.
* Added tests for neq_scalar.
* Added test for noop.
* - further work on clipbynorm_bp
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* - get rid of concat op call, use instead direct concat helper call
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* lstmBlockCell context fix
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* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
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* operator * result shape fix
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* - correct typo in lstmCell
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* few tests fixed
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* CUDA inverse broadcast bool fix
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* disable MMAP test for CUDA
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* BooleanOp syncToDevice
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* meh
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* additional data types for im2col/col2im
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* Added test for firas_sparse op.
* one more RandomBuffer test excluded
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* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
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* mmulDot tests fixed
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* more tests fixed
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* Implemented floordiv_bp op and tests.
* Fixed scalar case with cuda implementation for bds.
* - work on cuda kernel for clip_by_norm backprop op is completed
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* Eliminate cbow crach.
* more tests fixed
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* more tests fixed
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* Eliminated abortion with batched nlp test.
* more tests fixed
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* Fixed shared flag initializing.
* disabled bunch of cpu workspaces tests
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* scalar operators fix: missing registerSpecialUse call
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* Fixed logdet for cuda and tests.
* - correct clipBynorm_bp
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* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
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* build fix
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* exclude two methods for JNI
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* exclude two methods for JNI
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* exclude two methods for JNI (#97 )
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* temporary stack fix
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* round robin affinity test
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* get rid of legacy CudaContext methods
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* get rid of legacy ContextPool classes/methods
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* one legacy test removed
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* few more fields rearranged
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* OpaqueLaunchContext
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* OpaqueLaunchContext++
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* more of OpaqueLaunchContext methods
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* LaunchContext -> CudaContext
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* AffinityManger changes
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* AffinityManger changes
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* cusolver handles
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* typo
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* cusolver method
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* cusolver handle propagated
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* blas/solver handles
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* one more test
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* legacy concat implementations replaced with new CustomOp
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* one more test
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* concat now uses way more blocks
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* print
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* no more triple template mmul
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* bunch of kernels have dtypes reconsidered
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* bunch of kernels have dtypes reconsidered
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* bitonic sort reorganized
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* bunch of cpu stuff removed from cuda scope
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* bunch of cpu stuff removed from cuda scope
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* type conversions moved to generic impl
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* cpu data types pass
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* non_max_suppression
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* sortByValue fix
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* ignore all mixed datatype tests for mmul
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* special handling of OpProfiler exceptions
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* - one failing concat test in cpp
- Nd4j.tile now uses op internally
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* get back dtype exception for legacy arrays deserialization
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2019-08-14 16:52:34 +03:00
f49c4ea9d0
int -> long ( #108 )
...
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2019-08-10 09:14:18 +03:00
7fa01288bb
[WIP] cuda concat ( #107 )
...
* - correct cuda concat
Signed-off-by: Yurii <yurii@skymind.io>
* - pooling 2d/3d : take into account possible case when input and gradI have different strides
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* master pulled in
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* floordiv_bp test reverted
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* - add NDArray::printLinearBuffer method
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2019-08-08 18:05:21 +03:00
62a025439b
java cuda compilation fix
...
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2019-08-07 21:36:27 +03:00
55066d9c41
bad fatbin option removed
...
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2019-08-07 19:34:25 +03:00
24e43e9856
[WIP] build time improvements ( #106 )
...
* fix pad javadoc and @see links. (#72 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* [WIP] More fixes (#73 )
* special tests for ConstantTadHelper/ConstantShapeHelper
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* release methods for data buffers
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* delete temporary buffer Java side
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* delete temporary buffer Java side
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* delete temporary TadPack C++/Java side (#74 )
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* Zoo model TF import test updates (#75 )
* argLine fix, update compression_gru comment
* updated comment for xception
* undid but commented argLine change
* updated xlnet comment
* copyright headers
* - new NDArray methods like()/ulike() (#77 )
- fix for depthwise_conv2d_bp + special test
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* upsampling2d fix CUDA
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* DL4J trace logging (#79 )
* MLN/CG trace logging for debugging
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* Tiny tweak
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* strided_slice_bp shape fn leak fix
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* SameDiff fixes and naming (#78 )
* remove SDVariable inplace methods
* import methods
* npe fix in OpVal
* removed SameDiff inplace ops from tests
* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything
* quick fixes
* javadoc
* SDVariable eval with placeholders
* use regex match
* better matching
* fix javadoc. (#76 )
* fix javadoc.
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* replace most @see with @link s.
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* 4 additional tests
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* Various DL4J/ND4J fixes (#81 )
* #7954 Force refresh of UI when switching tabs on overview page
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* #8017 Concurrent modification exception (synchronize) fix
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* #8033 Don't initialize updater in middle of writing memory crash dump
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* #8208 Fix shape checks for ND4J int[] creator methods
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* #6385 #7992 Keras import naming fixes + cleanup
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* #8016 Upsampling3D - add NDHWC format support
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* Refactor NativeOps.h to export C functions
* Actually export functions from NativeOps.h
* Adapt the Java wrappers in ND4J generated with JavaCPP
* Create C wrappers for some of the C++ classes currently used by ND4J
* remove duplicate code in createBufferDetached. (#83 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Keras model import - updater lr fix (#84 )
* Keras model import - updater lr fix
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* Keras model import - updater lr fix, cleanup
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* Fix functions of OpaqueVariablesSet
* SameDiff Convolution Config validation, better output methods (#82 )
* Conv Config validation & tests
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* stackOutputs utility method
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* use constructor for validation, support negative kernel sizes (infered from weights)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* better output methods
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* move output to be with fit and evaluate
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* fixes
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* more fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* refactor duplicate code from pad methods. (#86 )
* refactor duplicate code from pad methods.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* replace switch with if.
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* Various ND4J/DL4J fixes and improvements (#87 )
* Reshape and reallocate - small fixes
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* Reshape and reallocate - small fixes
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* #6488 ElementWiseVertex broadcast support
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* Constructors and broadcast supported it Transforms.max/min
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* #8054 ElementWiseVertex now supports broadcast inputs
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* #8057 Nd4j.create overload dtype fix
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* #7551 ND4J Shape validation fix
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* [WIP] Numpy boolean import (#91 )
* numpy bool type
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* numpy bool java side
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* remove create method with unused parameter. (#89 )
* remove create method with unused parameter.
* removed more unused methods.
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* removing more unused code.
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* last removal of unused code.
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* remove createSparse methods. (#92 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Various ND4J/DL4J fixes (#90 )
* Deprecate Old*Op instances
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* #8063 #8054 Broadcast exceptions + cleanup inplace ops
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* Small fix
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* Remove bad test condition
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* #7993 Fix shape function issue in crop_and_resize op
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* DL4J SameDiff lambda layer fix
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* #8029 Fix for pnorm backprop math
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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93 )
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* createUninitializedDetached refactoring. (#94 )
* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
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* createUninitializedDetached refactored.
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* cuda build fix for issues introduced by recent refactoring
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* [WIP] More of CUDA (#95 )
* initial commit
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* Implementation of hashcode cuda helper. Working edition.
* Fixed parallel test input arangements.
* Fixed tests for hashcode op.
* Fixed shape calculation for image:crop_and_resize op and test.
* NativeOps tests. Initial test suite.
* Added tests for indexReduce methods.
* Added test on execBroadcast with NDArray as dimensions.
* Added test on execBroadcastBool with NDArray as dimensions.
* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.
* Added tests for execReduce with scalar results.
* Added reduce tests for non-empty dims array.
* Added tests for reduce3.
* Added tests for execScalar.
* Added tests for execSummaryStats.
* - provide cpu/cuda code for batch_to_space
- testing it
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* - remove old test for batch_to_space (had wrong format and numbers were not checked)
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* Fixed complilation errors with test.
* Added test for execTransformFloat.
* Added test for execTransformSame.
* Added test for execTransformBool.
* Added test for execTransformStrict.
* Added tests for execScalar/execScalarBool with TADs.
* Added test for flatten.
* - provide cpu/cuda code for space_to_Batch operaion
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* Added test for concat.
* comment unnecessary stuff in s_t_b
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* Added test for specialConcat.
* Added tests for memcpy/set routines.
* Fixed pullRow cuda test.
* Added pullRow test.
* Added average test.
* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)
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* - debugging and fixing cuda tests in JavaInteropTests file
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* - correct some tests
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* Added test for shuffle.
* Fixed ops declarations.
* Restored omp and added shuffle test.
* Added convertTypes test.
* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.
* Added sort tests.
* Added tests for execCustomOp.
* - further debuging and fixing tests terminated with crash
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* Added tests for calculateOutputShapes.
* Addded Benchmarks test.
* Commented benchmark tests.
* change assertion
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* Added tests for apply_sgd op. Added cpu helper for that op.
* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.
* Added test for assign broadcastable.
* Added tests for assign_bp op.
* Added tests for axpy op.
* - assign/execScalar/execTransformAny signature change
- minor test fix
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* Fixed axpy op.
* meh
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* - fix tests for nativeOps::concat
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* sequential transform/scalar
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* allow nested parallelism
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* assign_bp leak fix
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* block setRNG fix
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* enable parallelism by default
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* enable nested parallelism by default
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* Added cuda implementation for row_count helper.
* Added implementation for tnse gains op helper.
* - take into account possible situations when input arrays are empty in reduce_ cuda stuff
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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.
* Added kernel for tsne/symmetrized op heleper.
* Implementation of tsne/symmetrized op cuda helper. Working edition.
* Eliminated waste printfs.
* Added test for broadcastgradientargs op.
* host-only fallback for empty reduce float
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* - some tests fixes
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* - correct the rest of reduce_ stuff
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* - further correction of reduce_ stuff
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* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
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* - provide cuda kernel for gatherND operation
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* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
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* minor tests tweaks
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* - further correction of cuda stuff
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* Implementatation of cbow op helper with cuda kernels. Working edition.
* Skip random testing for cudablas case.
* lstmBlockCell context fix
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* Added tests for ELU and ELU_BP ops.
* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.
* Added tests for neq_scalar.
* Added test for noop.
* - further work on clipbynorm_bp
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* - get rid of concat op call, use instead direct concat helper call
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* lstmBlockCell context fix
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* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
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* operator * result shape fix
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* - correct typo in lstmCell
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* few tests fixed
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* CUDA inverse broadcast bool fix
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* disable MMAP test for CUDA
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* BooleanOp syncToDevice
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* meh
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* additional data types for im2col/col2im
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* Added test for firas_sparse op.
* one more RandomBuffer test excluded
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* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
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* mmulDot tests fixed
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* more tests fixed
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* Implemented floordiv_bp op and tests.
* Fixed scalar case with cuda implementation for bds.
* - work on cuda kernel for clip_by_norm backprop op is completed
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* Eliminate cbow crach.
* more tests fixed
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* more tests fixed
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* Eliminated abortion with batched nlp test.
* more tests fixed
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* Fixed shared flag initializing.
* disabled bunch of cpu workspaces tests
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* scalar operators fix: missing registerSpecialUse call
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* Fixed logdet for cuda and tests.
* - correct clipBynorm_bp
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* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
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* build fix
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* exclude two methods for JNI
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* exclude two methods for JNI
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* exclude two methods for JNI (#97 )
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* temporary stack fix
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* couple of legacy groups reorganized into separate compialtion units
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* wrong include
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* wrong include
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* ReductionLoops_float split
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* maximum
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* some more rearrangements
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* spare ifdef
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* mirror pad
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* - reduce_float split
- mcmodel
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* bad include fix
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* norelax
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* norelax
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* norelax
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* norelax
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* norelax
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* norelax gone
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* get back sm
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* fix couple of tests for msvc
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* fix couple of tests for msvc
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* compress-all
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* reduced arch list
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* compress-all
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* reduced arch list
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* all compute capabilities option for tests
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2019-08-07 17:49:13 +03:00
c78f5a8225
Shugeo cuda cuda ( #105 )
...
* Refactored extract_image_patches op helpers.
* Eliminated compliler errors with helper implementation.
* Finished implementation for extract_image_patches both cpu and cuda helpers.
* Improved cpu implementation.
* Improved cuda implementation for extract_image_patches helper.
* Added omp to ClipByGlobalNorm helpers implementation.
* Added implementation for thresholedrelu_bp op.
* Fixed cuda kernel with F order.
* Fixed tests for subarray.
* Refactored tests for Gaussian_3 and Truncated_22.
* Added tests for GaussianDistribution with native ops.
* Modified tests for Gaussian distribution.
* Fixed random tests.
* Fixed atomicMin/atomicMax for 64bit cases.
* Fixed tests for execReduce3TAD tests.
* Eliminated waste comments.
2019-08-07 15:29:17 +03:00
b75bac750d
exclude two methods for JNI ( #97 )
...
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2019-08-05 11:28:07 +10:00
2447af0953
exclude two methods for JNI
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:28:07 +10:00
raver119
Yurii Shyrma
shugeo
Alexander Stoyakin
Alex Black