raver119
51f3a1371d
[WIP] Random Uniform ( #36 )
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* args
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* T args
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2019-11-07 17:09:47 +03:00
shugeo
679e42199a
Shugeo strided slice bp fix2 ( #33 )
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* Fixed crash and restored brocken functionality for strided slice.
* Added comments for strided_slice_bp main step.
2019-11-07 13:44:02 +03:00
raver119
4276e63054
one more test
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Signed-off-by: raver119 <raver119@gmail.com>
2019-11-07 08:49:27 +03:00
shugeo
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
AlexDBlack
7583ccfa15
Merge
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-06 13:28:03 +11:00
Yurii Shyrma
871f3bb3e6
- add additional condition in svd helper to take into account rounding errors ( #31 )
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Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-05 17:16:17 +02:00
shugeo
9124974e3b
Fixed crash with strided_slice_bp op and tests. ( #29 )
2019-11-05 12:49:15 +02:00
shugeo
7b14a9f603
Gamma and Poisson distributions ( #27 )
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* Added implementation for random_gamma op.
* Added implementation for random_poisson op and support classes.
* Added helpers for random_poisson and random_gamma ops.
* Implementation of random_poisson. The first working edition.
* Implementation of random_poisson. Parallelized working edition.
* Implementation of random_gamma. Parallelized working edition with alpha only.
* Added cuda implementation for helper of poisson distribution.
* Corrected shape calculation with random_gamma and tests.
* Finished cpu implementation for gamma distribution.
* Finished cuda implementation for random_gamma op.
* Refactored cpu helpers for random_gamma and random_poisson ops.
* Refactored cuda helpers for gamma and poisson distribution.
* Refactored cuda helper for gamma distribution.
* Refactored cpu helper for random_poisson op.
* Refactored cpu helper for random_gamma op.
2019-11-04 15:42:28 +02:00
Alex Black
948ebef41c
Op Fixes ( #28 )
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* #8280 biasadd_bp nchw arg fixes (java side) + test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8285 Concat op Java side fixes
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* Concat op cpp fix - allow dynamic axis to be negative, same as static axis
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* ignores for deconv3d import tests until deconv3d_tf op is implemented
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-05 00:05:04 +11:00
Yurii Shyrma
0cdb5750e0
Shyrma concat ( #24 )
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* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for deconv2d op based on mkl dnn api
* no unsafe math
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* no unsafe math
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* - get rid of e<> and p<> methods in svd helper
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* - provide mkl api support for deconvolution 3d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write deconv2d_bp based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write deconv3d_bp based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing deconv based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove dilation form conv2d/3d mkl
Signed-off-by: Yurii <iuriish@yahoo.com>
* - minor changes
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* - further corrections of deconv ops based on mkl dnn api
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* - provide deconv2d_tf based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add minor corrections required by reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-03 12:37:19 +02:00
raver119
c94013f0a1
cc 52 -> 50
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Signed-off-by: raver119 <raver119@gmail.com>
2019-11-03 09:54:35 +03:00
raver119
879a06c913
few typos fixed
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Signed-off-by: raver119 <raver119@gmail.com>
2019-11-01 09:13:15 +03:00
Alexander Stoyakin
45a40c8a89
DL4J/ND4J: Do pass on integer casts ( #15 )
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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
shugeo
95f7ad7b94
Shugeo suppression overlaps ( #9 )
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* Added non_max_suppression_overlaps op and tests.
* Refactored implementation of non_max_suppression_overlaps.
* Refactoring of implementation of non_max_suppression_overlaps op.
* Refactoring of implementation of non_max_suppression op.
* Fixed portion error.
* Added cuda frontends for image suppression ops.
* Eliminated crash with cuda arch on image.non_max_suppression_overlaps op.
* Improved implementation of image_suppression helper for cpu platform.
* The generic approach of non_max_suppression_overlaps op helper with cuda platform.
* Working cuda implementation of helper non_max_suppression_overlaps op.
* Eliminated waste comments.
* Improved implementations for both platforms
* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.
* Improved cuda implementation of non_max_suppression op helper.
* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.
* Improved cuda implementation of image.non_max_suppression_overlaps op helper.
* Added modifications into cuda implementation for image suppression overlaps op.
* Correct queue emulation with cuda implementation of non_max_suppression_overlaps op.
* Prefinal stage of cuda implementation of non_max_suppression_overlaps.
* Worked cuda implementation of non_max_suppresion_overlaps helper.
* Fixed return to proper thread.
* Improvements for cuda implementation of image.non_max_suppression_overlaps op helper.
* Fixed implementation issues with non_max_suppression_overlaps on cuda platform.
* Fixed skip for non_max_suppression_overlaps on cuda platform.
* Finalize implementation of image_suppression helper and tests.
* Cosmetic changes only.
2019-10-30 13:43:45 +02:00
Yurii Shyrma
029a69a835
Shyrma bn mkl bp ( #14 )
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* - write code for new batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for batchnorm backprop based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing bugs in batchnorm_bp mkl dnn
Signed-off-by: Yurii <iuriish@yahoo.com>
* - made corrections required by reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* - change name in java wrapper for batchnorm op
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-26 14:14:21 +03:00
Alex Black
d333d29099
SameDiff cleanup and fixes ( #12 )
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* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SameDiff API cleanup
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* More SameDiff cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour
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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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small test fix
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* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J SameDiff fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Re-add hack for Deconvolution2DLayer until #8315 is resolved
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property
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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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-26 12:38:08 +11:00
Alex Black
3f0b4a2d4c
SameDiff execution, TF and memory management overhaul ( #10 )
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* SameDiff execution memory management improvements, round 1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Round 2
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* Round 3
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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs
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* Next steps
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* Next step
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* Cleanup
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* More polish
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* Fix
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* Add WeakIdentityHashmap
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* Session fixes for control ops and next steps
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* More fixes
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* Fixes
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* First steps for training session + in-line updating
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* Next steps
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* Fix losses and history during training
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* More fixes
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* BiasAdd and other fixes
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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)
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* Small fix
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* Cleanup
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* First steps for new dependency tracking approach
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* Start integrating dependency tracking for memory management
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* Non-control op dependency tracking works/passes
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* Switch/merge
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* Next steps
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* Cleanup and next steps
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* Small fixes
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* Fix issue dependency tracking for initial variables/constants
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* Add check for aliases when determining if safe to close array
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* First pass on new TF graph import class
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* Import fixes, op fixes
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* Cleanup and fixes for new TF import mapper
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* More cleanup
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* Partial implementation of new dependency tracker
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* Next steps
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* AbstractDependencyTracker for shared code
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* Overhaul SameDiff graph execution (dependency tracking)
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* More fixes, cleanup, next steps
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* Ad no-op memory manager, cleanup, fixes
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* Fix switch dependency tracking
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* INDArray.toString: no exception on closed arrays, just note closed
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* Fix enter and exit dependency tracking
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* TensorArray memory management fixes
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* Add unique ID for INDArray instances
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* Fix memory management for NextIteration outputs in multi-iteration loops
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* Remove (now unnecessary) special case handling for nested enters
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* Cleanup
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* Handle control dependencies during execution; javadoc for memory managers
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* Cleanup, polish, code comments, javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup and more javadoc
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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released
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* Clean up arrays waiting on unexecuted ops at the end of execution
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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames
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* Fix order of operation issues for dependency tracker
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* Always clear op fields after execution to avoid leaks or unintended array reuse
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* Small fixes
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* Re-implement dtype conversion
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* Fix for control dependencies execution (dependency tracking)
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* Fix TF import overrides and filtering
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* Fix for constant enter array dependency tracking
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* DL4J Fixes
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* More DL4J fixes
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* Cleanup and polish
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* More polish and javadoc
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* More logging level tweaks, small DL4J fix
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* Small fix to DL4J SameDiffLayer
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* Fix empty array deserialization, add extra deserialization checks
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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests
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* Variable control dependencies serialization fix
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* Fix issue with removing inputs for ops
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* FlatBuffers NDArray deserialization fix
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* FlatBuffers NDArray deserialization fix
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* Small fix
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* Small fix
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* Final cleanup/polish
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2019-10-23 21:19:50 +11:00
Alexander Stoyakin
f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
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KDTree optimization
2019-10-23 12:11:25 +03:00
Yurii
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
Yurii
99be467f76
- minor change in recurrent.h
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Signed-off-by: Yurii <iuriish@yahoo.com>
2019-10-17 20:46:51 +03:00
Yurii
70bd925abd
- write 2 versions of new lstmLayer: one is based on own code, second uses mkl dnn api
2019-10-17 20:44:52 +03:00
Alexander Stoyakin
630bb3c9b6
Merge pull request #2 from KonduitAI/asto_ops_wrapper
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[WIP] New ops wrapper
2019-10-16 20:21:50 +03:00
shugeo
3662657d5c
Merge pull request #1 from KonduitAI/shugeo_gamma
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Shugeo gamma
2019-10-16 18:49:33 +03:00
shugeo
24a2b2933f
Added gamma and lgamma functions.
2019-10-16 18:22:18 +03:00
Alexander Stoyakin
96a9a1a733
Fixed output from operation.
2019-10-16 18:07:52 +03:00
shugeo
7617682a46
Added declarations for igamma and igammac ops.
2019-10-16 14:45:10 +03:00
shugeo
478a0c1f97
Added igamma and igammac broadcastable ops implementations and tests.
2019-10-16 14:02:53 +03:00
shugeo
7103aca8c5
Added broadcastable IGamma and IGammac ops.
2019-10-16 13:58:32 +03:00
shugeo
f90e6da97e
Added nd4j_gamma, nd4j_igamma and nd4j_igammac functions.
2019-10-16 13:53:31 +03:00
shugeo
df2448613e
Added gamma distribution functions.
2019-10-15 20:00:07 +03:00
AlexDBlack
2d750b69e5
Merge remote-tracking branch 'konduit/master'
2019-10-14 17:21:23 +11:00
shugeo
ace65355c5
Added doc for fake_quant_with_min_max* op helpers cuda implementations.
2019-10-10 18:35:28 +03:00
shugeo
c890de5a7b
Added doc for fake_quant_with_min_max* op helpers implementations.
2019-10-10 18:31:17 +03:00
shugeo
c3f755d975
Refactored helpers both for cuda and cpu platforms.
2019-10-10 18:02:49 +03:00
shugeo
a09cb5e2be
Added doc for fake_quant_with_min_max_per_channel op declaration.
2019-10-10 17:13:33 +03:00
shugeo
92636b0b86
Eliminated waste operator.
2019-10-10 17:08:59 +03:00
shugeo
d5b352273d
Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op. Final revision.
2019-10-10 16:51:29 +03:00
shugeo
02d8616692
Implementation of cuda kernel for fake_quant_with_min_max_vars_per_channels op.
2019-10-10 16:40:56 +03:00
shugeo
3504b0cda9
Implemented fake_quant_with_min_max_vars_per_channel fop cuda helper. The first working revision.
2019-10-10 15:44:50 +03:00
shugeo
753565145c
Refactored fake_quant_with_min_max_vars op cuda implementation.
2019-10-10 14:00:49 +03:00
shugeo
c13e945a96
Fixed fake_quant_with_min_max_vars op and tests.
2019-10-10 13:23:11 +03:00
shugeo
3c0c59ab88
Refactored fake_quant_with_min_max_vars op.
2019-10-09 22:09:33 +03:00
shugeo
352f1eee80
Implemented fake_quant_with_min_max_per_channel helper for cpu platform. The first approach.
2019-10-09 21:39:59 +03:00
shugeo
d0cbd33b0e
Added input checks for op.
2019-10-09 15:52:13 +03:00
shugeo
3a89e51811
Added tests for fake_quant_with_min_max_vars_per_channel op.
2019-10-09 13:38:18 +03:00
shugeo
cb56b0b06a
The first approach for fake_quant_with_min_max_vars_per_channel op implementation.
2019-10-08 19:00:41 +03:00
shugeo
8fe5a1fa96
The working implementation of draw_bounding_boxes op.
2019-10-08 15:42:27 +03:00
shugeo
30a8af566c
The first working implementation of cuda kernel for draw_bounding_boxes op helper.
2019-10-08 13:45:18 +03:00
shugeo
ae09cfee32
Next approach of cuda imlementation for draw_bounding_boxes op helper.
2019-10-08 00:09:46 +03:00
shugeo
6cf3a8fa9c
Refactored cpu implementatio and added cuda aproach.
2019-10-07 17:51:07 +03:00
shugeo
78443ffebf
Working implementation of draw_bounding_boxes op for cpu.
2019-10-07 15:04:44 +03:00
shugeo
16a66a65e3
Added helper declaration for draw_bounding_boxes op.
2019-10-04 21:16:34 +03:00
shugeo
53a2ebddbe
Added test and helpers for draw_bounding_boxes op both cpu and cuda related.
2019-10-04 20:46:26 +03:00
shugeo
8f70b4441f
draw_bounding_boxes op implementation. Inital revision.
2019-10-04 18:32:21 +03:00
shugeo
908e4c4912
Added implementation for divide_no_nan op and tests.
2019-10-04 10:29:15 +03:00
raver119
cff26f13c5
Revert "Implement divide_no_nan op."
2019-10-03 20:25:52 +03:00
shugeo
6eaca179d6
Implement divide_no_nan op.
2019-10-03 18:22:17 +03:00
shugeo
130ee25682
Implemented compare_and_bitpack op.
2019-10-03 10:57:48 +03:00
shugeo
75ad3c8153
Fixed test names.
2019-10-02 19:05:26 +03:00
shugeo
f3e42173ef
Refactored buffer copying to avoid wrong usage of buffers.
2019-10-02 16:51:09 +03:00
shugeo
1c6173d218
Added implementation of bitcast op.
2019-10-02 15:04:59 +03:00
shugeo
a27e61553a
Added tests and fixed op name.
2019-10-02 15:04:28 +03:00
shugeo
863ff76878
Added declaration for bincast op.
2019-10-02 12:17:00 +03:00
shugeo
afeb524238
Refactored implementation for adjust_contrast ops.
2019-10-01 14:13:09 +03:00
shugeo
1575c704ae
Added implementation for adjust_contrast_v2 op and tests.
2019-10-01 11:44:27 +03:00
raver119
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
shugeo
e06dfb5dcc
Implementation of adjust_contrast op.
2019-09-30 18:24:12 +03:00
raver119
78bca543a8
missed include for MklDnnTests run without mkldnn
...
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2019-09-12 10:49:01 +03:00
AlexDBlack
a66e03355e
Merge remote-tracking branch 'fork/master'
2019-09-12 12:20:57 +10:00
raver119
07901ceb69
few more mkldnn dependencies removed
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-12 04:55:59 +03:00
raver119
98e2814879
Platform helpers ( #8216 )
...
* platform helpers draft
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* typo
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* disable platform cmake
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* another draft
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* mkldnn convolution refactored
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* minor tweaks
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* one more safety check
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* prototype works
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* meh
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* force static library mode for mkldnn
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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware
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* bunch of small fixes
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* declare concurrent
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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
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* - avgpool2d_bp/maxpool2d_bp APIs update
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* - conv2d/batchnorm APIs update
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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update
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* all ops converted to MKLDNN 1.x
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* bunch of tweaks
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* namespace for platform helpers
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* make sure platform helpers aren't opimized out
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* build cpu_features on x86 systems
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* build cpu_features on x86 systems
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* more of cpu_features
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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory
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* F16C definition renamed
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* some mkldnn rearrangements
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* check supported instructions before doing anything
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* typo
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* missied impl
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* BUILD_PIC option
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* conv2d fix
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* avgpool3d fix
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* avgpool3d_bp fix
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* avgpool2d_bp leak fix
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* avgpool3d_bp leak fix
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* maxpool bp leaks fixed
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* printf removed
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* batchnorm fix
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* AVX warning/error polishing
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* Fix
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* More polish
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* Polish
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* remove previous MKL-DNN support layer
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* avx2 tweak
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* allow static for apple
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* exclude mkldnn in one more place
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* exclude mkldnn in one more place
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* restore OPENBLAS_PATH use
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* add runtime check for avx/avx2 support
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* convolution_auto
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* Add logic for helper argument
* minor test fix
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* few tweaks
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* few tweaks
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* skip OpTracker props for non-x86 builds
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* linux arm isn't x86 :)
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* avx-512
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* CUDA presets fix
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* BUILD_PIC
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* prefetchw for avx2
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* BUILD_PIC again
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2019-09-11 21:50:28 +03:00
shugeo
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
raver119
589401477d
[WIP] bunch of improvements ( #257 )
...
* - 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
Signed-off-by: Yurii <yurii@skymind.io>
* - 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
Signed-off-by: Yurii <yurii@skymind.io>
* - minor changes in flatten
Signed-off-by: Yurii <shyrma@skymind.io>
* - add function shape::getIndexOffsetOrdered
Signed-off-by: Yurii <shyrma@skymind.io>
* - correct shape::getIndexOffsetOrdered()
Signed-off-by: Yurii <shyrma@skymind.io>
* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function
Signed-off-by: Yurii <shyrma@skymind.io>
2019-09-11 20:12:09 +03:00
Alex Black
4f7b35ac82
Update links to eclipse repos ( #252 )
...
* Fix repo links and clean up old github templates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More link updates
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2019-09-10 19:09:46 +10:00
raver119
ffae024cda
disable threadlocal for apple
...
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2019-09-10 07:46:35 +03:00
shugeo
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
raver119
1de9fb218e
- bits_hamming_distance dtype fix ( #8208 )
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- DataTypeUtils::asString fixe + new dtypes added
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-06 08:59:05 +03:00
raver119
46f8c58502
- bits_hamming_distance dtype fix
...
- DataTypeUtils::asString fixe + new dtypes added
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-06 08:57:53 +03:00
AlexDBlack
a76a44e198
Merge remote-tracking branch 'fork/master'
2019-09-05 22:04:25 +10:00
raver119
fc222d3325
logging off
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-05 14:45:46 +03:00
Yves Quemener
d1e9b34982
libnd4j: Remove some unused declarations in unit tests ( #8202 )
2019-09-05 15:04:36 +09:00
Ryan Nett
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
AlexDBlack
b7226bdd7a
Merge
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 00:54:11 +10:00
shugeo
548044a1e2
Shugeo doc ( #235 )
...
* 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
raver119
a90c7dd995
[WIP] Last set of changes ( #234 )
...
* mmul op instead of cublasSgemm
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* transB
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* jcpp handles
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* bitwise and/or/xor
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* bitwise and/or/xor mapping
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* cuda/cublas version check
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* add expected version
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* cuda/cublas version check in java
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* one more error check
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* build fix
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* build fix
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* build fix
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* one more fix
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* skip CUDA version check for now
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* better wording
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* few more tweaks
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* few more tweaks
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2019-09-04 14:41:08 +03:00
Alex Black
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
Signed-off-by: Alex Black <blacka101@gmail.com>
* Updates for flatbuffers datatype enum renaming
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-09-04 16:36:11 +10:00
raver119
64eaafb4cd
remove unwanted noexcept
...
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2019-09-04 08:38:22 +03:00
raver119
7abc574eeb
Snapshot update ( #8194 )
...
* fix double consumption of rng on cpu
Signed-off-by: raver119 <raver119@gmail.com>
* Shyrma docs (#222 )
* - 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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* cublasHandle sharing + lock
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* cublasHandle sharing + lock
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* Documentation from serialization/deserialization in NLP (#221 )
* refactoring
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* Javadocs
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* Javadoc fixed
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* Cleanup
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* dedicated lock for getCudaCublasHandle
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* Small fixes (#223 )
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* ELU DL4J fixes (#224 )
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* javadoc (#225 )
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* Small test compilation fix (#226 )
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* #8182 remove spark version suffix (#227 )
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* [WIP] Thread safety (#229 )
* sync after cublas*gemm
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* mutex for CublasHelper
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* don't store cublasHandle in LaunchContext, it's per-device anyway
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* some printout
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* check for field instead
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* pew-pew
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* don't release ContextBuffers until device changed
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* small tweak
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* some logging in sgemm
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* stream sync
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* some more logging
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* some more error checks
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* one fancy test
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* one fancy test
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* minor AffinityManager fix
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* cudaEvent error logging improvement
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* ConstantHelper thread safety
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* - minor corrections in ConstantTadHelper
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* ConstantShapeHelper thread safety
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* ConstantTadHelper.cu updated
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* logging off
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* logging off
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2019-09-03 22:02:02 +03:00
raver119
dddc8a1143
[WIP] Thread safety ( #229 )
...
* sync after cublas*gemm
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* mutex for CublasHelper
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* don't store cublasHandle in LaunchContext, it's per-device anyway
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* some printout
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* check for field instead
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* pew-pew
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* don't release ContextBuffers until device changed
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* small tweak
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* some logging in sgemm
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* stream sync
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* some more logging
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* some more error checks
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* one fancy test
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* one fancy test
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* minor AffinityManager fix
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* cudaEvent error logging improvement
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* ConstantHelper thread safety
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* - minor corrections in ConstantTadHelper
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* ConstantShapeHelper thread safety
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* ConstantTadHelper.cu updated
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* logging off
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* logging off
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2019-09-03 22:00:38 +03:00
raver119
9d03bb9425
allow atomicAdd for CUDA 10 only
...
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2019-09-03 13:30:16 +03:00
raver119
f6f9437a36
get back cc 7.0 support for cuda 9.2
...
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2019-09-03 09:26:35 +03:00
Yurii Shyrma
cb4c9377b1
Shyrma docs ( #222 )
...
* - 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
Signed-off-by: Yurii <yurii@skymind.io>
2019-09-02 16:25:58 +03:00
raver119
106524663b
fix double consumption of rng on cpu
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-02 15:24:51 +03:00
AlexDBlack
7ded4416cb
Merge remote-tracking branch 'fork/master'
2019-09-02 18:52:12 +10:00
raver119
5b8ea3e830
one more tiny cuda fux
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-02 11:49:13 +03:00
raver119
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
raver119
c34826da4d
fixed args
...
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2019-09-01 22:06:01 +03:00
raver119
00cf28f477
get rid of builtin_popcount to please ppc
...
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2019-09-01 19:57:39 +03:00
raver119
3679e55c49
fix bits_hamming_distance for ppc
...
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2019-09-01 19:33:23 +03:00
Yurii Shyrma
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