1575c704ae
Added implementation for adjust_contrast_v2 op and tests.
2019-10-01 11:44:27 +03:00
44a8d19ac6
[WIP] Broadcast changes ( #8257 )
...
* - 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
e06dfb5dcc
Implementation of adjust_contrast op.
2019-09-30 18:24:12 +03:00
78bca543a8
missed include for MklDnnTests run without mkldnn
...
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2019-09-12 10:49:01 +03:00
a66e03355e
Merge remote-tracking branch 'fork/master'
2019-09-12 12:20:57 +10:00
07901ceb69
few more mkldnn dependencies removed
...
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2019-09-12 04:55:59 +03:00
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
e1a7460f8e
Shugeo cuda doc2 ( #255 )
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* Added comments to tileKernel routine.
* Refactored kernel and added doc to it.
* Refactored setDiagonal kernel and added doc for it.
* Added doc for tnse cuda helpers.
* Added doc for diag kernels.
* Added doc for kernel.
* Refactored code with fake quantization.
* Added docs for image resize and crop kernels.
* Added docs for image suppression helpers.
* Added docs to matrix_band helpers.
* Added docs for matrix_diag_part and nth_element helpers.
* Fixed syntax error and refactored getIndexOffset usage.
2019-09-11 21:04:43 +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
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* - 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
4f7b35ac82
Update links to eclipse repos ( #252 )
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* Fix repo links and clean up old github templates
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* More link updates
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2019-09-10 19:09:46 +10:00
ffae024cda
disable threadlocal for apple
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2019-09-10 07:46:35 +03:00
c9f8a904ad
Shugeo cuda docs1 ( #249 )
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* Comments axis shifts.
* Fixed LUP solver usage. Added helpers doc.
* Switch off OMP for roll and lup. Fixed omp usage for ClipByGlobalNorm.
* Switch off omp for ClipByGlobalNorm to reduce omp ambigiousness.
2019-09-09 16:27:45 +03:00
1de9fb218e
- bits_hamming_distance dtype fix ( #8208 )
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- DataTypeUtils::asString fixe + new dtypes added
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2019-09-06 08:59:05 +03:00
46f8c58502
- bits_hamming_distance dtype fix
...
- DataTypeUtils::asString fixe + new dtypes added
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2019-09-06 08:57:53 +03:00
a76a44e198
Merge remote-tracking branch 'fork/master'
2019-09-05 22:04:25 +10:00
fc222d3325
logging off
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2019-09-05 14:45:46 +03:00
d1e9b34982
libnd4j: Remove some unused declarations in unit tests ( #8202 )
2019-09-05 15:04:36 +09:00
79867f5c5a
cleanup SDRNN and rnn ops ( #238 )
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Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-05 12:25:03 +10:00
b7226bdd7a
Merge
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 00:54:11 +10:00
548044a1e2
Shugeo doc ( #235 )
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* Actualized doc to tnse ops.
* Added comments for dynamic_stitch op.
* Added comments to dynamic_stitch op implementation.
* Modified comment for unstack_list op.
* Added doc for space_to_depth and depth_to_space ops.
* Added doc for space_to_batch op.
* Enlarge test type for adjustSaturation.
* Added doc for runner.
2019-09-04 14:57:59 +03:00
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
Signed-off-by: Alex Black <blacka101@gmail.com>
* 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
64eaafb4cd
remove unwanted noexcept
...
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2019-09-04 08:38:22 +03:00
7abc574eeb
Snapshot update ( #8194 )
...
* fix double consumption of rng on cpu
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* Shyrma docs (#222 )
* - documenting and profiling matrix_set_diag cuda kernel
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* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag
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* cublasHandle sharing + lock
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* cublasHandle sharing + lock
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* Documentation from serialization/deserialization in NLP (#221 )
* refactoring
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* Javadocs
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* Javadoc fixed
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* Cleanup
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* dedicated lock for getCudaCublasHandle
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* Small fixes (#223 )
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* ELU DL4J fixes (#224 )
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* javadoc (#225 )
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* Small test compilation fix (#226 )
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* #8182 remove spark version suffix (#227 )
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* [WIP] Thread safety (#229 )
* sync after cublas*gemm
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* mutex for CublasHelper
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* don't store cublasHandle in LaunchContext, it's per-device anyway
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* some printout
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* check for field instead
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* pew-pew
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* don't release ContextBuffers until device changed
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* small tweak
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* some logging in sgemm
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* stream sync
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* some more logging
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* some more error checks
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* one fancy test
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* one fancy test
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* minor AffinityManager fix
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* cudaEvent error logging improvement
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* ConstantHelper thread safety
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* - minor corrections in ConstantTadHelper
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* ConstantShapeHelper thread safety
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* ConstantTadHelper.cu updated
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* logging off
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* logging off
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2019-09-03 22:02:02 +03:00
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
9d03bb9425
allow atomicAdd for CUDA 10 only
...
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2019-09-03 13:30:16 +03:00
f6f9437a36
get back cc 7.0 support for cuda 9.2
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2019-09-03 09:26:35 +03:00
cb4c9377b1
Shyrma docs ( #222 )
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* - documenting and profiling matrix_set_diag cuda kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - 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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2019-09-02 16:25:58 +03:00
106524663b
fix double consumption of rng on cpu
...
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2019-09-02 15:24:51 +03:00
7ded4416cb
Merge remote-tracking branch 'fork/master'
2019-09-02 18:52:12 +10:00
5b8ea3e830
one more tiny cuda fux
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2019-09-02 11:49:13 +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
c34826da4d
fixed args
...
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2019-09-01 22:06:01 +03:00
00cf28f477
get rid of builtin_popcount to please ppc
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2019-09-01 19:57:39 +03:00
3679e55c49
fix bits_hamming_distance for ppc
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2019-09-01 19:33:23 +03:00
a35926c6e9
- add parameter alpha to elu and lrelu_bp ( #213 )
...
* - add parameter alpha to elu and lrelu_bp
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* - forgot to correct header activations.h
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2019-08-31 20:57:39 +03:00
b71c993ded
[WIP] maxpool_bp cuda fix ( #212 )
...
* 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
00fd50cee2
Shyrma softmax ( #209 )
...
* - provide new cuda kernel for softmax
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* - further work on cuda kernel for softmax
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* - correction cuda kernel for softmax
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2019-08-30 20:31:05 +03:00
bdc3eacafd
one small playground test
...
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2019-08-30 20:13:01 +03:00
70a9ae5068
[WIP] few tweaks ( #206 )
...
* scatter empty check
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* scatter empty test
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* one more test
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* two tweaks
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* dup tweak
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* - put empty checking of indices array immediately prior helper run
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* minor tests fix
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* minor tests fix
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2019-08-30 16:32:01 +03:00
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
5395d4fbe5
- rewrite broadcast_dynamic_shape and delete corresponding helpers ( #194 )
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Signed-off-by: Yurii <yurii@skymind.io>
2019-08-29 20:38:02 +03:00
70af8c2afc
Shyrma svd ( #191 )
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* - add one additional test for svd
* - provide float argument in eye op to be a type of output array
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* - add cuda capability check to mmulHelper
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* - make use another method for divice id evaluation
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* Eye data type as T argument
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2019-08-28 18:27:08 +03:00
dec296da17
[WIP] bits_hamming_distance ( #192 )
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* bits_hamming_distance op
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* bits_hamming_distance cuda
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2019-08-28 18:20:44 +03:00
f4860574d7
[WIP] More fixes ( #190 )
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* Refactored kernels for segment_max/min/sum ops.
* Refactored segment_prod kernels.
* Refactored segment_prod kernels.
* DynamicPartition test
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* Addede linear test for dynamic_partition op.
* Refactored test with int datatype.
* some logging
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* some logging
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* some logging
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* dynamicPartition fix
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* get rid of some logging
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* one more test for dynamic_stitch
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* one more test for dynamic_stitch
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* empty check for stitch
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* minor print changes
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2019-08-28 15:38:57 +03:00
3157ec110c
[WIP] reverse_sequence ( #188 )
...
* initial commit
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* one more print
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* minor fix
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* reverse_sequence fix
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* confusion_matrix test updated
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* minor tweak
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* minor tweak
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* one more reverse_sequence test
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2019-08-28 11:14:22 +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
2144941313
Shyrma fix2 ( #186 )
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* - further work on layer_norm
Signed-off-by: Yurii <yurii@skymind.io>
* - further work on layer_norm 2
Signed-off-by: Yurii <yurii@skymind.io>
* - correct helpers for svd cuda
Signed-off-by: Yurii <yurii@skymind.io>
2019-08-27 19:57:59 +03:00
0849b3c1a4
Shugeo segment fix2 ( #185 )
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* Added test for segment_mean.
* Added another test for segment_mean.
* Fixed segment_* ops helpers for cuda to proper use external data.
2019-08-27 18:25:39 +03:00
7f0c660d8b
[WIP] HGemm ( #181 )
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* skip string arrays for device validation
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* confusion_matrix fix
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* exclude cublasHGemm from archs < 530
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2019-08-27 15:05:43 +03:00
0e523490e9
[WIP] confusion ( #180 )
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* skip string arrays for device validation
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* confusion_matrix fix
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2019-08-27 14:30:37 +03:00
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
efbfafe3f7
[WIP] gatherND fix ( #176 )
...
* one test for gather_nd
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* get rid of old concat tests
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* one printf
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* one more legacy test removed
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* gatherNd launch params fix
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* gatherNd launch params fix
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2019-08-27 12:35:14 +03:00
df84bc7255
[WIP] More tweaks ( #173 )
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* 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
bb5fc36e5e
[WIP] ops fixes ( #168 )
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* - correct layer_norm
Signed-off-by: Yurii <yurii@skymind.io>
* - further fix of layer norm
Signed-off-by: Yurii <yurii@skymind.io>
* - correct scatter_upd op
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* - correct cuda kernel for histogram_fixed_width op
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* - delete comments
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* enabled one ignored test
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2019-08-26 19:37:05 +03:00
b417ca21bf
Fix for concat op shape function (empty shapes) ( #167 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-26 23:10:28 +10:00
daf5420f4c
cmake fix for windows debug build
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-26 08:13:22 +03:00
ece6a17b11
lup context fix ( #164 )
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-24 16:57:48 +03:00
841eeb56c5
get rid of context variable
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-24 16:18:38 +03:00
b091e972ef
- string NDArray flat serde impl + tests ( #163 )
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- string NDArray equalsTo impl
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-24 14:16:34 +03:00
f8364997c0
[WIP] maxpool2d_bp fix ( #160 )
...
* 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
f03b0ee78f
[WIP] more fixes ( #159 )
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* Added test for MatrixInverse with double input. Fixed matrixDeterminantKernel.
* Fixed kernels to avoid waste templating.
* Fixed logDeterminant kernel.
* Refactored type check for lup'
* - decrease blockDim value for zeta op
Signed-off-by: Yurii <yurii@skymind.io>
* Added print for compound matrix with CUDA.
* Refactored upper matrix invertion kernels.
* - provide move constructor and move assignment operator for OpArgsHoder class
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored usage of launch context.
* - add test for mergemax
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* get rid of AveragingArrayProxy
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* Refactoring of LUP inversion.
* Added prints for invertion.
* - add OpArgsHolder copy constructor and assignment operator
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* Added test for lower inversion
* - fix bug in upsampling2d/3d_bp op
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* Added expensive printfs to kernel.
* Refactored expensive kernel prints.
* Refactored expensive printfs
* - remove nullify
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* Eliminated waste prints with tests.
* upsampling2d_bp test
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* test updated
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2019-08-23 19:20:50 +03:00
99cdf6d42b
- cpu isMax fix for multidim case + test
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- INDArray.wasClosed() fix for empty array edge case
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 18:44:37 +03:00
fb8de5006f
- concat empty scalar fix
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- couple of tests for empty scalar concat
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 13:16:50 +03:00
729dc5e879
[WIP] size etc ( #155 )
...
* one test for size
Signed-off-by: raver119 <raver119@gmail.com>
* - few tests for size op
- size/rank/size_at ops now use p instead of assign
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2019-08-23 12:31:12 +03:00
243bf866c4
[WIP] Few fixes ( #153 )
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* throw exception if op execution failed
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* expected for test
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* one more ismax test
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* ismax view fix
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2019-08-23 09:00:10 +03:00
930b49e87f
[WIP] DeviceLocalNDArray updates ( #149 )
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* ContextBuffers are released upon device change
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* DeviceLocalNDArray updates + tests
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* special array for delayed mode
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* additional detach()
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2019-08-22 20:01:29 +03:00
e855e47f73
More fixes ( #148 )
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* Small batch norm fix (cuda/no-mkldnn)
Signed-off-by: Alex Black <blacka101@gmail.com>
* Dropout fix for RnnOutputLayer
Signed-off-by: Alex Black <blacka101@gmail.com>
* Allow block size < 2 in batch_to_space_nd and space_to_batch_nd for import, in spite of what TF docs say
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-22 19:55:27 +10:00
eea3062ccf
[WIP] stb/bts nd ( #144 )
...
* - start working on space_to_batch_nd
Signed-off-by: Yurii <yurii@skymind.io>
* - 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
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* - restore old col2im kernel
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* - 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
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2019-08-21 21:11:46 +03:00
e604ffe0d2
[WIP] repeat op ( #143 )
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* - 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
3cf72e5e30
[WIP] More fixes ( #142 )
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* atomicAdd cc 70+
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* additional 8 bytes alocation
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* missed include 2019
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* less spam
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2019-08-21 20:18:29 +03:00
0adce9a4fa
minor fix for msvc
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-21 16:34:07 +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
77805cb7fa
[WIP] cpu ismax fix ( #137 )
...
* cpu ismax fix
Signed-off-by: raver119 <raver119@gmail.com>
* bunch of smaller scalar tests
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2019-08-21 10:12:11 +03:00
4310e87860
include path fix for java
...
Signed-off-by: raver119 <raver119@gmail.com>
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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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-20 18:28:43 +03:00
01cb57041a
Merge
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-19 18:46:47 +10:00
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
bb80fe4f94
Merge remote-tracking branch 'origin/master'
2019-08-17 14:52:13 +03:00
8944e5f67f
no thread_local for cpu
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-17 14:51:54 +03:00
56910ddee7
no thread_local for cpu
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-17 14:51:39 +03:00
e22880fd76
[WIP] Roll rewritten ( #128 )
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* Process correct input vector.
* Added tests for roll.
* Refactored roll to conform with TF. Eliminated memory leaks with Roll op tests.
2019-08-17 14:15:08 +03:00
5c908886b0
OP/CONFIGURABLE_OP shapefn fix ( #125 )
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Signed-off-by: raver119 <raver119@gmail.com>
2019-08-16 08:53:30 +03:00
9f2ba6a85d
Shyrma concat2 ( #119 )
...
* - rewrite/improve concat
Signed-off-by: Yurii <yurii@skymind.io>
* - ged rid of unnecessary argument in concat kernel
Signed-off-by: Yurii <yurii@skymind.io>
2019-08-16 06:57:20 +03:00
987bb80c46
[WIP] right shift ops ( #118 )
...
* right shift ops
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* typo
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* rotr test
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2019-08-15 20:35:15 +03:00
72cb5936f1
no openmp for ClipByGlobalNorm
...
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2019-08-15 18:24:29 +03:00
935cbf5df3
fix test
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-15 18:19:24 +03:00
3c7cd2397c
Eliminated memory leaks and dropped waste prints with tests. ( #117 )
2019-08-15 15:28:19 +03:00
f083b96c74
Shugeo cuda tests ( #116 )
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* 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 )
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* - 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 )
...
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2019-08-14 21:51:42 +03:00
e0f8d86eac
bunch of shape functions fixed
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2019-08-14 18:28:25 +03:00
53ca9a76e8
[WIP] multi-device support ( #80 )
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* 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
6ed03217b4
concat cuda helper
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2019-08-09 13:01:51 +03:00
1a0a8b1497
duplicate pad impl
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2019-08-08 20:28:14 +03:00
7fa01288bb
[WIP] cuda concat ( #107 )
...
* - correct cuda concat
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* - 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
shugeo
raver119
AlexDBlack
Yves Quemener
Ryan Nett
Yurii Shyrma