9c77bfa85f
Support for more numpy datatypes ( #241 )
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* Adding more datatypes support in datavec-python
* Using numpy C API for creating numpy arrays
* Adding parameterized tests
* Adding support for BFLOAT16 (by converting it to FLOAT)
* Cleanup
* Using casting instead of creating an array
* Giving out a warning while casting array from BFLOAT16 to FLOAT
* Add syncToPrimary and syncToSpecial methods to BaseDataBuffer
Signed-off-by: Alex Black <blacka101@gmail.com>
* Python exec: sync to host before passing pointers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Added copyright header
* use np api (#267 )
* python exec / numpy - check object type before cast (#268 )
* use np api
* verify object before cast
* fix cong
* cuda fix
* inplace test + tiny fix
* more test
* fix double alloc
* rem tags
* fix cuda check
* Fix implicit CUDA dependency in datavec-python tests; remove new method, add test
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Fariz Rahman <farizrahman4u@gmail.com>
2020-03-19 00:48:37 +11:00
bac130bd78
CUDA host pointer fix ( #322 )
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* CUDA fix: host pointer propagation
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* disable logging
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2020-03-16 12:07:34 +03:00
e42b4e96c3
correct output empty shapes deducing in split op ( #311 )
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* - correct output empty shapes deducing in split op
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* java test fixed
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* - split broadcast::exec function on individual functions corresponding to switch arg
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* - split broadcast::exec _int and _bool function on individual functions corresponding to switch arg
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2020-03-12 18:25:54 +03:00
a80fb99a5f
DL4J integrations tests updates + add SameDiff support ( #298 )
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* Revive and start updating DL4J integration tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add SameDiff support - first pass
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* SameDiff test case generation
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* SameDiff integration tests polishing
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* More SameDiff integration test fixes
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* Final polish
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* Small test tweak
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2020-03-07 22:44:41 +11:00
1c89512ec0
Add Maven profiles for ARM builds to pom.xml files ( #265 )
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* Add Maven profiles for ARM builds to pom.xml files
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Remove mkl from dependencies when running on non intel/amd platforms
* Downgrade openblas for now
* Change back to 0.3.8
Co-authored-by: Adam Gibson <1144306+agibsonccc@users.noreply.github.com>
2020-03-04 11:11:01 +03:00
63fa3c2ef3
libnd4j polishing ( #273 )
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* initial set of include changes
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* one more tweak
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* few more rearrangements
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* few more rearrangements
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* few more rearrangements
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* cuda includes rearrangements
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* java update
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* = namespace changed to sd
- few CMake variables renamed with SD_ prefix
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* java update
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* LoopKind minor fix
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* few more changes
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* few more changes
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* few more changes
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* sanitizer is optional now
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* dev tests updated
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* few more changes
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* last update
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* java update
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2020-03-02 12:49:41 +03:00
f7a9190407
profiling of concat op (both cuda and cpu) ( #151 )
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* - profiling of concat op (both cuda and cpu)
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* better comparison for large concat
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* - further improving of concat op
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* some loggin
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* - add possibility to verify presence of trailing unities in shape and set strides/ews correspondingly
- restrict second simple case in concat op to c order only
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* - move concat op to specials_single.cpp file
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* - get rid of second concat op declaration in transforms.cpp file
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2020-02-20 21:19:01 +03:00
9e3c1b02b1
Perf improvements ( #242 )
...
* initial commit
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* meh
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* better ExpandDims impl
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* better Squeeze impl
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* better Softmax impl
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* one test disabled
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* more accurate impl
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* - GraphProfiler now prints full shapeInfo instead of shape
- softmax typo fix
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2020-02-14 16:20:31 +03:00
1dfac9a736
DataBuffer.write() tweak ( #221 )
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* special workaround methods for DataBuffer.write
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* one test removed
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* more of unsynced
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* missing asLong for BaseCudaDataBuffer
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2020-02-07 18:16:11 +03:00
a0da5a9e47
Events removed from Java ( #219 )
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* replace mutex with lock_guards
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* Events ditched from Java CUDA logic
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2020-02-07 12:34:55 +03:00
569a46f87d
Fixes ( #213 )
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* Increase timeouts for 2 tests occasionally failing on CI
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* Explicitly set character encoding via argline for maven surefire tests
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* CUDA gradient check timeout fix + simple rnn masking fix
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2020-02-05 17:07:36 +11:00
5d28e6143d
OpContext handling ( #214 )
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* nano tweaks
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* OpContext tweaks
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* OpContext deallocators
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* get rid of few mkldnn safety checks
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* databuffer setSpecial fix
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2020-02-05 07:27:24 +03:00
81efa5c3b6
[WIP] one small fix ( #207 )
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* one small fix
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* assert added
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2020-02-02 19:17:26 +03:00
0756e3fe70
Small fixes. ( #206 )
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* Logging format tweaks for file logging
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* Min abs error tweak for Util layer gradient checks
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* #8648 Fix SameDiff NPE instead of error for missing placeholders
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* Test runtime reduction
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2020-02-01 18:19:36 +11:00
5d98cfcf47
Configurable DataType for ops ( #201 )
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* initial commit
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* - one more test for OneHot with dtype
- one more signature in Nd4j
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* ones_as/zeros_as now accept dtype
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* one more test
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* - more updates for configurable data types
- ones_as/zeros_as java side + tests
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* few c++ tests fixed
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* few more changes around DArgs
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2020-01-30 18:46:12 +03:00
ba961c7601
DataTypes & FlatBuffers ( #197 )
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* flatbuffers version upgrade
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* flatbuffers version upgrade java side
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* flatbuffers dependency version upgrade java side
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* MKLDNN version upgrade
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* DArgs first pass
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* signatures first pass
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* signatures second pass
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* signatures third pass
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* signatures third pass
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* signatures fourth pass
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* signatures fifth pass
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* flatbuffers UI version upgrade java side
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* flatbuffers ui update
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* flatbuffers downgrade
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* flatbuffers downgrade java side
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2020-01-30 10:07:24 +03:00
9f719488b9
CUDA sync tweaks ( #194 )
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* ThreadLocal cache for CudaContext
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* temp commit
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* remove unwanted synchronization
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2020-01-28 10:55:06 +03:00
7ef0ef907e
Packages fix ( #193 )
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* packages fix
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* few imports fixed
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* few imports fixed
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2020-01-27 23:04:21 +03:00
531a72fabd
execution mode ( #183 )
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* initial commit
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* execution mode java side
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* meh
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* move exec mode to ContextPrototype
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* copyrights
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2020-01-27 10:00:07 +03:00
4db28a9300
Cleanup of multiple projects ( #175 )
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* Cleanup modules
* Moving subprojects to nd4j-api
* Project cleanup
* Dropped AWS sub-project
* dl4j-util moved to core
* dl4j-perf moved to core
* Tests coverage
* Revert "Moving subprojects to nd4j-api"
This reverts commit bc6eb573c6b60c407ade47172c5d204725077e6b.
* Moved nd4j-buffer and nd4j-context to nd4j-api
* Rolled back change
* Revert "Project cleanup"
This reverts commit 64ac7f369b2d968f7be437718034f093fc886ffc.
* Datavec cleaned up
* Revert "Moved nd4j-buffer and nd4j-context to nd4j-api"
This reverts commit 75f4e8da80d2551e44e1251dd6c5923289fff8e1.
# Conflicts:
# nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/ReductionBpOpValidation.java
* Resolve conflict
* Compilation fixed.
* nd4j-context and nd4j-buffer moved to nd4j-api
* Fixed TF mapping for mmul
* Fix for dl4j-cuda tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Move last few tests from deeplearning4j-nn to -core
Signed-off-by: Alex Black <blacka101@gmail.com>
* Remove incorrect TF import mapping for TensorMmul op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Cleaned TF mapping
* Fix path for test results on windows
* Remove old dependency
Signed-off-by: Alex Black <blacka101@gmail.com>
* One more attempt to fix path for test results on windows
* fixup! One more attempt to fix path for test results on windows
* fixup! One more attempt to fix path for test results on windows
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
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2020-01-24 22:35:00 +03:00
5d69069177
[WIP] Memory limits ( #167 )
...
* initial commit
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* one more initial commit
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* additional initial commit
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* subsequent initial commit
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* initial commit testing
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* initial commit per device
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* initial commit per group
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* initial commit for cuda
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* initial commit for cuda + few missed lines
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* initial commit for cuda + missed includes
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* initial commit for cuda + one more missed include
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* initial commit shouldn't count host mem as dev0 in cuda
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* initial commit that tracks HOST group limits for CUDA
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* initial commit with some Environment changes
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* initial commit with more Environment changes
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* initial commit with maxMasterThreads fix
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* initial commit with maxMasterThreads fix
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* initial commit without maxMasterThreads exception
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* initial commit without Nd4jULong in Environment
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* add sleep and more iterations for OOM cases
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* limits propagation from java side
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* - consume ErrorCode every time
- one test for memory limits
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* unordered_map
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* unordered_map
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* unordered_map
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* RSub op mapping fixed
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* typo fixed
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* one bad test fixed
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2020-01-24 10:11:09 +03:00
256c9d20b0
alloc check for RNG ( #179 )
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* missing alloc validation in RandomGenerator for CUDA
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* set error message if rng alloc failed
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* check for error code during RNG creation in java
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2020-01-23 09:51:02 +03:00
25db3a44f1
[WIP] few fixes for tests ( #177 )
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* nd4j-aeron profiles
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* nd4j-aeron profiles
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* skip one long test
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* skip one long test
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* kryo profile
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* few more profiles
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* few more profiles
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* few more profiles
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2020-01-22 16:12:30 +03:00
a25bb6a11c
Unit/integration test split + test speedup ( #166 )
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* Add maven profile + base tests methods for integration tests
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* Switch from system property to environment variable; seems more reliable in intellij
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* Add nd4j-common-tests module, and common base test; cleanup
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* Ensure all ND4J tests extend BaseND4JTest
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* Test spam reduction, import fix
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* Add test logging to nd4j-aeron
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* Fix unintended change
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* Reduce sprint test log spam
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* More test spam cleanup
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* Significantly speed up TSNE tests
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* W2V iterator test unit/integration split
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* More NLP test speedups
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* Avoid debug/verbose mode leaking between tests
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* test tweak
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* Arbiter extends base DL4J test
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* Arbiter test speedup
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* nlp-uima test speedup
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* More test speedups
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* Fix ND4J base test
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* Few small ND4J test speed improvements
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* DL4J tests speedup
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* More tweaks
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* Even more test speedups
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* More tweaks
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* Various test fixes
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* More test fixes
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* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest
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* nd4j-aeron test profile fix for CUDA
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2020-01-22 22:27:01 +11:00
7783012f39
cuDNN integration ( #150 )
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* initial commit
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* one file
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* few more includes
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* m?
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* const
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* cudnn linkage in tests
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* culibos
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* static reminder
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* platform engine tag
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* HAVE_CUDNN moved to config.h.in
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* include
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* include
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* skip cudnn handle creation if there's not cudnn
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* meh
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* target device in context
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* platform engines
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* platform engines
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* allow multiple -h args
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* allow multiple -h args
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* move mkldnn out of CPU block
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* link to mkldnn on cuda
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* less prints
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* minor tweaks
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* next step
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* conv2d NCHW draft
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* conv2d biasAdd
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* test for MKL/CUDNN combined use
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* - provide additional code for conv2d ff based on cudnn api, not tested yet
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* - further work on conv2d helper based on using cudnn api
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* - fixing several cuda bugs which appeared after cudnn lib had been started to use
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* - implementation of conv2d backprop op based on cudnn api
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* - implementaion of conv3d and conv3d_bp ops based on cudnn api
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* - bugs fixing in conv3d/conv3d_bp ops (cudnn in use)
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* - implementation of depthwiseConv2d (ff/bp) op based on cudnn api
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* - implementation of batchnorm ff op based on cudnn api
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* - disable cudnn batchnorm temporary
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* - add minor change in cmake
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* engine for depthwise mkldnn
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* couple of includes
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* - provide permutation to cudnn batchnorm ff when format is NHWC
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* lgamma fix
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* - eliminate memory leak in two tests
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Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-20 21:32:46 +03:00
29e8e09db6
String changes ( #3 )
...
* initial commit
* additional data types & tensor type
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* next step
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* missing include
* sparse_to_dense
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* few more tests files
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* draft
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* numeric sparse_to_dense
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* comment
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* string sparse_to_dense version
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* CUDA DataBuffer expand
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* few tweaks for CUDA build
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* shape fn for string_split
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* one more comment
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* string_split indices
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* next step
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* test passes
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* few rearrangements for databuffer implementations
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* DataBuffer: move inline methods to common implementations
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* add native DataBuffer to Nd4j presets
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* DataBuffer creation
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* use DataBuffer for allocation
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* cpu databuffer as deallocatable
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* DataBuffer setters for bufers
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* couple of wrappers
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* DataBuffers being passed around
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* Bunch of ByteBuffer-related signatures gone
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* - few more Nd4j signatures removed
- minor fix for bfloat16
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* nullptr pointer is still a pointer, but 0 as address :)
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* one special test
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* empty string array init
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* one more test in cpp
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* memcpy instead of databuffer swap
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* special InteropDataBuffer for front-end languages
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* few tweaks for java
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* pointer/indexer actualization
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* CustomOp returns list for inputArumgents and outputArguments instead of array
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* redundant call
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* print_variable op
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* - view handling (but wrong one)
- print_variable java wrapper
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* one more test
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* - empty arrays handling
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* - deserialization works now
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* minor fix
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* meh
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* one more fix
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* initial cuda commit
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* print_variable message validation
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* CUDA views
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* CUDA special buffer size
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* minor update to match master changes
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* - consider arrays always actual on device for CUDA
- additional PrintVariable constructor
- CudaUtf8Buffer now allocates host buffer by default
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* meh
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* - print_variable now allows print from device
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* InteropDataBuffer data type fix
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* ...
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* disable some debug messages
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* master pulled in
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* couple of new methods for DataBuffer interop
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* java side
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* offsetted constructor
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* new CUDA deallocator
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* CUDA backend torn apart
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* CUDA backend torn apart 2
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* CUDA backend torn apart 3
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* - few new tests
- few new methods for DataBuffer management
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* few more tests + few more tweaks
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* two failing tests
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* one more test
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* two failing tests pass
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* now we pass DataBuffer to legacy ops too
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* Native DataBuffer for legacy ops, Java side
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* CPU java side update
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* CUDA java side update
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* no more prepare/register action on java side
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* NDArray::prepare/register use now accepts vectors
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* InteropDataBuffer now has few more convenience methods
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* java bindings update
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* tick device in NativeOps
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* Corrected usage of OpaqueBuffer for tests.
* Corrected usage of OpaqueBuffer for java tests.
* NativeOpsTests fixes.
* print_variable now returns scalar
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* one more test
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* compat_string_split fix for CUDA
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* - CUDA execScalar fix
- CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer
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* legacy ops DataBuffer migration prototype
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* ignore device shapeinfo coming from java
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* minor fix
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* minor transformAny fix
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* minor tweak for lazy host allocation
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* - DataBuffer::memcpy method
- bitcast now uses memcpy
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* - IndexReduce CUDA dimension buffer fix
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* views for CPU and CUDA
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* less spam
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* optional memory init
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* async memset
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* - SummaryStats CUDA fix
- DataBuffer.sameUnderlyingData() impl
- execBroadcast fix
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* - reduce3All fix
switch to CUDA 10 temporarily
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* CUDA version
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* proper memory deallocator registration
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* HOST_ONLY workspace allocation
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* temp commit
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* few conflicts resolved
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* few minor fixes
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* one more minor fix
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* NDArray permute should operate on JVM primitives
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* - create InteropDataBuffer for shapes as well
- update pointers after view creation in Java
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* - addressPointer temporary moved to C++
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* CUDA: don't account offset twice
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* CUDA: DataBuffer pointer constructor updated
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* CUDA NDArray.unsafeDuplication() simplified
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* CUDA minor workspace-related fixes
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* CPU DataBuffer.reallocate()
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* print_affinity op
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* print_affinity java side
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* CUDA more tweaks for data locality
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* - compat_string_split tweak
- CudaUtf8Buffer update
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* INDArray.close() mechanic restored
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* one more test fixed
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* - CUDA DataBuffer.reallocate() updated
- cudaMemcpy (synchronous) restored
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* one last fix
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* bad import removed
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* another small fix
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* one special test
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* fix bad databuffer size
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* release primaryBuffer on replace
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* higher timeout
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* disable timeouts
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* dbCreateView now validates offset and length of a view
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* additional validation for dbExpand
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* restore timeout back again
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* smaller distribution for rng test to prevent timeouts
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* CUDA DataBuffer::memcpy now copies to device all the time
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* OpaqueDataBuffer now contains all required methods for interop
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* some javadoc
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* GC on failed allocations
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* minoe memcpu tweak
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* one more bitcast test
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* - NDArray::deviceId() propagation
- special multi-threaded test for data locality checks
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* DataBuffer additional syncStream
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* DataBuffer additional syncStream
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* one ignored test
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* skip host alloc for empty arrays
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* ByteBuffer support is back
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* DataBuffer::memcpy minor fix
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* few minor prelu/bp tweaks
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* nullify-related fixes
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* PReLU fixes (#157 )
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* Build fixed
* Fix tests
* one more ByteBuffer signature restored
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* nd4j-jdbc-hsql profiles fix
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* nd4j-jdbc-hsql profiles fix
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* PReLU weight init fix
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* Small PReLU fix
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* - INDArray.migrate() reactivated
- DataBuffer::setDeviceId(...) added
- InteropDataBuffer Z syncToDevice added for views
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* missed file
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* Small tweak
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* cuda 10.2
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* minor fix
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Co-authored-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 13:27:50 +03:00
451d9d57fd
shape function override ( #161 )
...
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2020-01-04 09:06:44 +03:00
29104083cc
Various fixes ( #143 )
...
* #8568 ArrayUtil optimization
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* #6171 Keras ReLU and ELU support
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* Keras softmax layer import
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* #8549 Webjars dependency management
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* Fix for TF import names ':0' suffix issue / NPE
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* BiasAdd: fix default data format for TF import
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* Update zoo test ignores
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* #8509 SameDiff Listener API - provide frame + iteration
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* #8520 ND4J Environment
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* Deconv3d
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* Deconv3d fixes + gradient check
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* Conv3d fixes + deconv3d DType test
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* Fix issue with deconv3d gradinet check weight init
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* #8579 Fix BaseCudaDataBuffer constructor fix for UINT16
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* DataType.isNumerical() returns false for BOOL type
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* #8504 Reduce Spark log spam for tests
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* Clean up DL4J gradient check test spam
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* More Gradient check spam reduction
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* SameDiff test spam reduction
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* Fixes for FlatBuffers mapping
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* SameDiff log spam cleanup
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* Tests should extend BaseNd4jTest
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* Remove debug line in c++ op
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* ND4J test spam cleanup
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* DL4J test spam reduction
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* More Dl4J and datavec test spam cleanup
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* Fix for bad conv3d test
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* Additional test
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* Embedding layers: don't inherit global default activation function
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* Trigger CI
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* Consolidate all BaseDL4JTest classes to single class used everywhere; make timeout configurable per class
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* Test fixes and timeout increases
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* Timeouts and PReLU fixes
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* Restore libnd4j build threads arg for CUDA build
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* Increase timeouts on a few tests to avoid spurious failures on some CI machines
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* More timeout fixes
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* More test timeout fixes
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* Tweak timeout for one more test
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* Final tweaks
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* One more ignore
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2020-01-04 13:45:07 +11:00
ce02b6fae7
Small fixes ( #140 )
...
* Allow scalar op result array auto allocation
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* Don't swallow underlying exception for calculateOutputShape execution failures
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* Ignore for known keras failure
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2019-12-21 17:00:46 +11:00
a5f5ac72b1
reduce bool changes ( #118 )
...
* reduce bool changes
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* reduce bool tweaks
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2019-12-09 20:08:59 +03:00
e09a785232
Shugeo resize fix5 ( #102 )
...
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
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2019-12-05 22:05:33 +03:00
0d14032d26
TF Updates ( #87 )
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* tf updates
* pom
* copyright
* graphrunner tests
* gpu test
* getSessionOptionsConfigProto
* dtype fix
* Small fix
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* cast graphs
* savemodel test fix
* testresource instead of local
* Logging level
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* gson dependency issue fix; fix GraphRunnerTest for no session options config case
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* Final tweaks
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* few minor fixes
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* one more fix
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* Tweak configuration for GraphRunnerTest
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* nd4j align config
* tf warmup
2019-12-04 17:11:03 +11:00
d19eeaec52
Shyrma casual conv1d ( #90 )
...
* - add causal mode of padding to convolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add additional tests for causal conv1d
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* - add causal mode for cuda conv kernels
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* Java side of Conv1D changes
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* Add Conv1DDerivative op
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* Causal Conv1D gradient checks
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* Tweaks
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* - add causal padding mode to conv2d_bp
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* More thorough causal conv1d tests
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-11-29 14:14:30 +03:00
5e07998e59
Add support for CUDA 10.2 ( #89 )
2019-11-29 16:31:03 +11:00
009007120b
Shugeo_release_fixes3 ( #81 )
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* Implementation for non_max_suppression_v3 was added. Initial version
* Added check for overcome threshold.
* Added definition for V3 method.
* java remapping for NonMaxSuppressionV3
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* Fixed proporly processing of an empty output and test.
* Refactored op to less threshold data to float.
* Implemented cuda-based helper for non_max_suppression_v3 op.
* Fixed fake_quant_with_min_max_vars op.
* Fixed tests with float numbers.
* - assert now stops execution
- sortByKey/sortByValue now have input validation
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* missing var
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* Fixed proper processing for zero max_size inputs.
* Refactored kernel callers.
* Fixed return statement for logdet op helper.
* Refactored unsorted segment SqrtN op.
* get back 8 tail bytes on CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored segment prod ops and helpers for cuda and tests.
* Additional test.
* CudaWorkspace tests updated for 8 tail bytes
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* special atomic test
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* atomicMul/atomicDiv fix for 16bit values
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* Eliminated waste prints.
2019-11-28 21:08:51 +03:00
e910ce75ec
Various Fixes ( #75 )
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* #8431 Cast loss function weights array automatically
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add 'regex verbose mode' printing (ExecDebugListener) for TFGraphTestAllSameDiff'
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Class import mapping fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Reshape fixes
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* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-23 20:06:12 +11:00
4187190609
Shugeo release fix2 ( #70 )
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* Corrected input checking and tests for bitcast op.
* Fixed an issue with non_max_suppression form generation and processing with score threshold given.
* Fixed bilinear resize kernel and tests.
* push for Serhii
Signed-off-by: raver119 <raver119@gmail.com>
* Added test for nearest_neighbor resize with int input.
* Added data type check for input/output match.
* Eliminate error in macros.
* Improved output message for type checking.
* Fixed input/output types for op.
* Eliminated waste logging.
* Refactored resize_bilinear helper for multithreading for cpu platform.
* Cosmetic changes only.
* Fixed error for string substitution.
* Skip test for cbow_batch with cuda.
* fix for resizeNearestNeighbor output dtype
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored non_max_suppression helper.
* Refactored shape generation and input handling.
* Added additional test.
2019-11-22 22:42:44 +03:00
ff73e6da3f
ND4J: Fix OpenBLAS loading for nd4j-native ( #64 )
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* ND4J: Fix OpenBLAS loading for nd4j-native and remove bundling of OpenMP
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Bundle back libgomp.so.1 for Linux
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Readd preload directories for ARM
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Add back preloads for GCC on Windows
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Add explicit preloadpaths for ARM and POWER to bundle correct library
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-21 15:54:41 +03:00
064a56ccf1
Few fixes ( #66 )
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* skip legacy transforms execution in case of empty input arrays
Signed-off-by: raver119 <raver119@gmail.com>
* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads
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* java side
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* trigger jenkins
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* update LessThanOrEqual opNum mapping
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* update LessThanOrEqual opNum mapping
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-21 15:43:03 +03:00
83cb0d9329
[WIP] Create and small fix ( #67 )
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* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea
Signed-off-by: raver119 <raver119@gmail.com>
* Create op and mapping for it
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-21 13:31:20 +03:00
66b84b38cf
Shyrma mmul ( #58 )
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* - get rid of some copy procedures in mmulHelper ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on cuda batched gamm api
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* - write own cuda kernel performing batched gemm
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* missing include in MmulHelper
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* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future
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* disable old tensordot
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* - rewrite cuda kernels for usualGemm and usualGemv
Signed-off-by: Yurii <iuriish@yahoo.com>
* - profiling mmul helpers
Signed-off-by: Yurii <iuriish@yahoo.com>
* - prints to check shapes were added
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct type of output array Cin mmulNxN
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* - take into account possible nans in C array
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* slightly change numThreads message
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* - make corrections in accordance to given notes in pr review
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2019-11-19 15:39:36 +02:00
c5cbdcd8f4
[WIP] clang for jcpp ( #53 )
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* clang as compiler for jcpp
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* we don't need macos profile
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2019-11-17 09:45:30 +03:00
1780dcc883
[WIP] Small fixes here and there ( #50 )
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* one range test
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* few Context convenience singatures
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* one more range test
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* "range" "fix"
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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable
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* adjust_contrast now allows scale factor as variable too
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* bitcast shape tests
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* BitCast import dtype added
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* few more BitCast signatures
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2019-11-15 17:04:29 +03:00
c5b912bddf
few changes for openblas and jcpp preloads (on macos) ( #46 )
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Signed-off-by: raver119 <raver119@gmail.com>
2019-11-14 19:50:24 +03:00
1eb3de90d7
[WIP] Platform helpers switches ( #44 )
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* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well
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* global platform-helpers trigger
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* few signatures renamed
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* - few new env variables to follow
- maxThreads/masterThreads differentiation
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* Javadoc update
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2019-11-14 14:35:02 +03:00
47d19908f4
Various fixes ( #43 )
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* #8172 Enable DL4J MKLDNN batch norm backward pass
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8382 INDArray.toString() rank 1 brackets / ambiguity fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8308 Fix handful of broken links (inc. some in errors)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Unused dependencies, round 1
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* Unused dependencies, round 2
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* Unused dependencies, round 3
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* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Uniform distribution TF import fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-14 19:38:20 +11:00
48df1acdfb
[WIP] ThreadPool ( #8 )
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This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
73b5a508fc
Update dependencies to just released JavaCPP and JavaCV 1.5.2
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Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-07 17:57:34 +09:00
d82877b18b
Various SameDiff fixes ( #21 )
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* MKLDNN LSTM forward implementation (disabled pending #8331 )
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8318 add SameDiff.calculateGradientsAndOutputs
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* Disable mkldnn backprop for now - pending fix, issue #8335
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* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement
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* Small FlatBuffers serde fix, UInt8
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* #8135 ImagePreProcessingScaler - add segmentation support
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* #8319 Ensure listeners are called when they are supposed to be called
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* #8214 UNet (non-pretrained) last conv layer kernal size fix
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2019-11-02 11:25:53 +11:00
b816845797
Fixing nd4j-cuda build ( #20 )
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* Roll back recent fix to restore build.
* Fix compilation.
* presets updated
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-01 15:59:29 +02:00
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
5a4d2e8b31
[WIP] SVD ( #16 )
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* - new SVD constructor
- OrthogonalDistribution now uses SVD custom op
Signed-off-by: raver119 <raver119@gmail.com>
* shapes fixed
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2019-10-28 12:31:01 +03:00
d333d29099
SameDiff cleanup and fixes ( #12 )
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* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SameDiff API cleanup
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* More SameDiff cleanup
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* Small fixes
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* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour
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* #8252 TanhDerivative javadoc
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* #8225 Deconvolution2D input validation
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* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'
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* #8224 SameDiff.zero and .one create constants, not variables
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* More cleanup and fixes
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* Small test fix
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* Small fix
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* DL4J SameDiff fixes
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* Re-add hack for Deconvolution2DLayer until #8315 is resolved
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* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property
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* All ND4J init logging checks system property
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* Small tweak
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* Remove redundant device logging
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* One more fix
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* UX improvements
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* Deconv fix
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* Add deconv tests
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* Cleanup
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* Remove debug code
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2019-10-26 12:38:08 +11:00
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
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* Cleanup and more javadoc
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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released
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* Clean up arrays waiting on unexecuted ops at the end of execution
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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames
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* Fix order of operation issues for dependency tracker
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* Always clear op fields after execution to avoid leaks or unintended array reuse
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* Small fixes
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* Re-implement dtype conversion
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* Fix for control dependencies execution (dependency tracking)
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* Fix TF import overrides and filtering
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* Fix for constant enter array dependency tracking
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* DL4J Fixes
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* More DL4J fixes
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* Cleanup and polish
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* More polish and javadoc
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* More logging level tweaks, small DL4J fix
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* Small fix to DL4J SameDiffLayer
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* Fix empty array deserialization, add extra deserialization checks
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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests
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* Variable control dependencies serialization fix
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* Fix issue with removing inputs for ops
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* FlatBuffers NDArray deserialization fix
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* FlatBuffers NDArray deserialization fix
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* Small fix
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* Small fix
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* Final cleanup/polish
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2019-10-23 21:19:50 +11:00
f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
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KDTree optimization
2019-10-23 12:11:25 +03:00
83d958d536
Sparse matrix refactoring. ( #8238 )
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* remove sparse method from INDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove gemm
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove useage of n4j.sparseFactory
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Nd4j.sparseFactory removed.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* sparseNDArray deleted.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* iremove more sparse calls and constants.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove SparseBlasWrapper.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete BaseSparseBlaswrapper.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove 3 sparse factory classes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete SparseCPULevel.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* deletes JcusparseLevel, CUDASparselevel.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete nativeCPU sparse classes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* removes sparse methods from NDArrayFactory.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* more deletes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* delete (ignored) tests. BaseSparseNDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* deletes ISparseNDArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove sparse methods from indArray.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* deletes sparse classes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-17 22:56:29 +03:00
a66e03355e
Merge remote-tracking branch 'fork/master'
2019-09-12 12:20:57 +10:00
07901ceb69
few more mkldnn dependencies removed
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-09-12 04:55:59 +03:00
98e2814879
Platform helpers ( #8216 )
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* platform helpers draft
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* typo
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* disable platform cmake
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* another draft
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* mkldnn convolution refactored
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* minor tweaks
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* one more safety check
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* prototype works
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* meh
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* force static library mode for mkldnn
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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware
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* bunch of small fixes
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* declare concurrent
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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
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* - avgpool2d_bp/maxpool2d_bp APIs update
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* - conv2d/batchnorm APIs update
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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update
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* all ops converted to MKLDNN 1.x
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* bunch of tweaks
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* namespace for platform helpers
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* make sure platform helpers aren't opimized out
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* build cpu_features on x86 systems
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* build cpu_features on x86 systems
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* more of cpu_features
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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory
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* F16C definition renamed
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* some mkldnn rearrangements
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* check supported instructions before doing anything
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* typo
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* missied impl
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* BUILD_PIC option
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* conv2d fix
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* avgpool3d fix
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* avgpool3d_bp fix
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* avgpool2d_bp leak fix
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* avgpool3d_bp leak fix
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* maxpool bp leaks fixed
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* printf removed
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* batchnorm fix
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* AVX warning/error polishing
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* Fix
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* More polish
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* Polish
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* remove previous MKL-DNN support layer
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* avx2 tweak
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* allow static for apple
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* exclude mkldnn in one more place
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* exclude mkldnn in one more place
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* restore OPENBLAS_PATH use
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* add runtime check for avx/avx2 support
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* convolution_auto
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* Add logic for helper argument
* minor test fix
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* few tweaks
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* few tweaks
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* skip OpTracker props for non-x86 builds
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* linux arm isn't x86 :)
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* avx-512
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* CUDA presets fix
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* BUILD_PIC
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* prefetchw for avx2
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* BUILD_PIC again
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2019-09-11 21:50:28 +03:00
c99f980513
INDArray javadoc ( #246 )
...
* javadoc
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* javadoc
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* javadoc
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* review fixes.
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2019-09-09 13:09:31 +10:00
a76a44e198
Merge remote-tracking branch 'fork/master'
2019-09-05 22:04:25 +10:00
f25e3e71e5
remove lengthLong ( #236 )
...
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-05 11:19:38 +10:00
b7226bdd7a
Merge
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-05 00:54:11 +10:00
a90c7dd995
[WIP] Last set of changes ( #234 )
...
* 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
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
Signed-off-by: raver119 <raver119@gmail.com>
* 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
d3253aff3f
dedicated lock for getCudaCublasHandle
...
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2019-09-02 20:01:13 +03:00
2129d5bcac
cublasHandle sharing + lock
...
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2019-09-02 16:52:28 +03:00
18828f9725
cublasHandle sharing + lock
...
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2019-09-02 16:52:10 +03:00
7ded4416cb
Merge remote-tracking branch 'fork/master'
2019-09-02 18:52:12 +10:00
82c9dc5743
ELU fix ( #219 )
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 18:37:05 +10:00
6d04d30c94
INDArray.java javadoc ( #215 )
...
* javadoc
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* javadoc
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2019-09-02 16:06:20 +10:00
ef1de6a4aa
rcorbish #8617 ( #8188 )
...
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-01 07:17:36 +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
dcc2baa676
Version upgrades ( #199 )
...
* DataVec fixes for Jackson version upgrade
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* DL4J jackson updates + databind version 2.9.9.3
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* Shade snakeyaml along with jackson
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* Version fix
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* Switch DataVec legacy JSON format handling to mixins
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* Next set of fixes
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* Cleanup for legacy JSON mapping
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* Upgrade commons compress to 1.18; small test fix
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* New Jackson backward compatibility for DL4J - Round 1
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* New Jackson backward compatibility for DL4J - Round 2
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* More fixes, all but legacy custom passing
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* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format
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* Legacy deserialization cleanup
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* Small amount of polish - legacy JSON
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* Upgrade guava version
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* IEvaluation legacy format deserialization fix
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* Upgrade play version to 2.7.3
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* Update nd4j-parameter-server-status to new Play API
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* Update DL4J UI for new play version
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* More play framework updates
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* Small fixes
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* Remove Spark 1/2 adapter code from DataVec
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* datavec-spark dependency cleanup
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* DL4J spark updates, pt 1
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* DL4J spark updates, pt 2
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* DL4J spark updates, pt 3
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* DL4J spark updates, pt 4
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* Test fix
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* Another fix
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* Breeze upgrade, dependency cleanup
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* Add Scala 2.12 version to pom.xml
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* change-scala-versions.sh - add scala 2.12, remove 2.10
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* Move Spark version properties to parent pom (now that only one spark version is supported)
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* DataVec Play fixes
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* datavec play dependency fixes
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* Clean up old spark/jackson stuff
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* Cleanup jackson unused dependencies
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* Dropping redundant dependency
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Removed scalaxy dependency
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* DataVec fixes for Jackson version upgrade
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J jackson updates + databind version 2.9.9.3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Shade snakeyaml along with jackson
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Version fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch DataVec legacy JSON format handling to mixins
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next set of fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup for legacy JSON mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade commons compress to 1.18; small test fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* New Jackson backward compatibility for DL4J - Round 1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* New Jackson backward compatibility for DL4J - Round 2
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More fixes, all but legacy custom passing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Legacy deserialization cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small amount of polish - legacy JSON
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade guava version
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* IEvaluation legacy format deserialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Upgrade play version to 2.7.3
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* Update nd4j-parameter-server-status to new Play API
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* Update DL4J UI for new play version
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More play framework updates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove Spark 1/2 adapter code from DataVec
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* datavec-spark dependency cleanup
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* DL4J spark updates, pt 1
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* DL4J spark updates, pt 2
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* DL4J spark updates, pt 3
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* DL4J spark updates, pt 4
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* Test fix
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* Another fix
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* Breeze upgrade, dependency cleanup
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* Add Scala 2.12 version to pom.xml
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* change-scala-versions.sh - add scala 2.12, remove 2.10
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Move Spark version properties to parent pom (now that only one spark version is supported)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DataVec Play fixes
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* datavec play dependency fixes
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* Clean up old spark/jackson stuff
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* Cleanup jackson unused dependencies
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* Add shaded guava
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* Dropping redundant dependency
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Removed scalaxy dependency
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* Ensure not possible to import pre-shaded classes, and remove direct guava dependencies in favor of shaded
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* ND4J Shaded guava import fixes
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* DataVec and DL4J guava shading
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* Arbiter, RL4J fixes
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* Build fixed
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* Fix dependency
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* Fix bad merge
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* Jackson shading fixes
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* Set play secret, datavec-spark-inference-server
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* Fix for datavec-spark-inference-server
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* Arbiter fixes
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* Arbiter fixes
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* Small test fix
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2019-08-30 14:35:27 +10:00
b472d7d8c8
[WIP] few more fixes ( #182 )
...
* 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
a49f7c908b
[WIP] More fixes ( #178 )
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* skip string arrays for device validation
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* histogram_fixed_width now really supports indexing types
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2019-08-27 13:21:01 +03:00
05d45ec050
IndexReduce along dim CUDA fix
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-27 11:31:59 +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
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
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* 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
729dc5e879
[WIP] size etc ( #155 )
...
* one test for size
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* - 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
c4e7d032cb
ND4J: Fix incorrectly bundled libraries on Linux ARM
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Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-08-23 16:54:54 +09:00
dbea687903
better handling of INDArray.close() ( #154 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-23 10:24:56 +03:00
243bf866c4
[WIP] Few fixes ( #153 )
...
* 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
3f4379927a
scalar constructor fix
...
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2019-08-21 08:50:59 +03:00
4310e87860
include path fix for java
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2019-08-21 07:32:21 +03:00
269d508ba5
[WIP] cross-device migrations ( #134 )
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* 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
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2019-08-20 18:52:41 +03:00
23c8738d4a
syncthreads ( #136 )
...
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2019-08-20 18:28:43 +03:00
38310777ee
fix for eclipse#8087 ( #129 )
...
* fix for #8087
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* remove commented code.
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* removing trueScalar.
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* wip
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* wip
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* wip
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* remove tueScalar.
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2019-08-20 15:20:40 +09:00
aceb915557
[WIP] tests fixes ( #130 )
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* 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
3ba616a161
[WIP] Java wrappers ( #126 )
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* shift/rshift/rotl/rotr java/sd wrappers
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* few additional wrappers
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* minor naming tweak
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2019-08-16 13:14:26 +03:00
2f3d7330ce
[WIP] build fix ( #124 )
...
* AffinityManager changes
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* build fixes
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2019-08-16 08:14:18 +03:00
987bb80c46
[WIP] right shift ops ( #118 )
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* 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
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.
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* 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
Signed-off-by: Yurii <yurii@skymind.io>
* 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
ec847e034b
[WIP] Remote inference ( #96 )
...
* fix pad javadoc and @see links. (#72 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* [WIP] More fixes (#73 )
* special tests for ConstantTadHelper/ConstantShapeHelper
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* release methods for data buffers
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* delete temporary buffer Java side
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* delete temporary buffer Java side
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* delete temporary TadPack C++/Java side (#74 )
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* Zoo model TF import test updates (#75 )
* argLine fix, update compression_gru comment
* updated comment for xception
* undid but commented argLine change
* updated xlnet comment
* copyright headers
* - new NDArray methods like()/ulike() (#77 )
- fix for depthwise_conv2d_bp + special test
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* upsampling2d fix CUDA
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* DL4J trace logging (#79 )
* MLN/CG trace logging for debugging
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* Tiny tweak
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* strided_slice_bp shape fn leak fix
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* SameDiff fixes and naming (#78 )
* remove SDVariable inplace methods
* import methods
* npe fix in OpVal
* removed SameDiff inplace ops from tests
* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything
* quick fixes
* javadoc
* SDVariable eval with placeholders
* use regex match
* better matching
* fix javadoc. (#76 )
* fix javadoc.
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* replace most @see with @link s.
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* 4 additional tests
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* Various DL4J/ND4J fixes (#81 )
* #7954 Force refresh of UI when switching tabs on overview page
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* #8017 Concurrent modification exception (synchronize) fix
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* #8033 Don't initialize updater in middle of writing memory crash dump
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* #8208 Fix shape checks for ND4J int[] creator methods
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* #6385 #7992 Keras import naming fixes + cleanup
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* #8016 Upsampling3D - add NDHWC format support
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* Refactor NativeOps.h to export C functions
* Actually export functions from NativeOps.h
* Adapt the Java wrappers in ND4J generated with JavaCPP
* Create C wrappers for some of the C++ classes currently used by ND4J
* remove duplicate code in createBufferDetached. (#83 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Keras model import - updater lr fix (#84 )
* Keras model import - updater lr fix
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* Keras model import - updater lr fix, cleanup
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* Fix functions of OpaqueVariablesSet
* SameDiff Convolution Config validation, better output methods (#82 )
* Conv Config validation & tests
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* stackOutputs utility method
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* use constructor for validation, support negative kernel sizes (infered from weights)
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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.
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* 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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* initial commit
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* deps tweaks
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* initial prototype
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* modules reorganized
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* gprc module moved to nd4j-remote as well
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* gprc module moved to nd4j-remote as well
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* serving prototype
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* serving prototype
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* serving prototype
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* serving prototype
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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
Signed-off-by: Yurii <yurii@skymind.io>
* 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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* downgrade jetty to latest stable version
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* test and profiles
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* Servlet skeleton
* one test case
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* one test case
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* compilation fix
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* draft improvements
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* draft improvements
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* proof of concept works
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* proof of concept works
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* Servlet
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* logging + simple timing
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* Content type fixed
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* Profile required
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* Servlet tests
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* Post test
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* Tests added:
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* Minor tweaks
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* Constants used
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* Check content type
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* Some tests
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* Errors checking
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* Constraints and tests
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* Minor tweaks
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* Dl4j servlet skeleton
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* Moving class to dl4j
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* Builder extended
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* initial dl4j commit
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* unirest version change
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* temp fallback
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* Reverted unirest version
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* Reverted unirest version
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* revert back unirest version change
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* revert unirest change
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* some additional checks in builder
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* few more fields
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* Test added
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* lombok
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* Tests added
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* deps
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* profiles re-introduced
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* Added tests
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* Model servlet
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* builders
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* builders
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* Servlet skeleton
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* Servlet tests
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* builders
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* get rid of old class
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* use PI for inference
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* superbuilder
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* get back builder
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* Servlet builder
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* PI setup
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* get rid of superbuilder
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* SameDiffServlet inheritance constructor
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* dl4jservlet attached to samediffservlet
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* builder types fix
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* dummy model
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* single out
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* loss
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* Tests added
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* missed builder type
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* working serving example
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* sd model fix
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* fix unirest version
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* More tests
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* Tests added:
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* Minor tests fixes
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* Tests fixed
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* Build fixed
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* Test added
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* Tests fixed
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* Ser/deser added
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* one more unirest fix
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* Custom serializers
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* Tests disabled
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* revert back unirest version change
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* update
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* some default fields values
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* some comments/javadoc
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* - move serde impls to client module
- get rid of INDArray serde for now
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* jackson-based serde for float[], double[] and String
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* more of basic ser/de + tests
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* minor api changes
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* change imports/signatures
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* Optional parralel inference
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* Insert pause between tests as workaround for unavailable port issue
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* few unused imports removed
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* Models usage
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* Models usage
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* - InputAdapter + OutputAdapter = InferenceAdapter
- JsonModelServer now allows separate configuration of InputAdapter and OutputAdapter
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* unused import
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* input adapter..
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* minor signature change
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* few more signatures updated
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* input/output adapter
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* Tests added
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* javadocs added
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* Test fixed
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* minor polishing
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* more of javadoc
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* signature change
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2019-08-14 12:11:09 +03:00
62a025439b
java cuda compilation fix
...
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2019-08-07 21:36:27 +03:00
aefdbc17d6
exclude two methods for JNI
...
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2019-08-05 11:27:05 +10:00
e2b7675e9c
build fix
...
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2019-08-05 11:27:05 +10:00
Shams Ul Azeem
raver119
Yurii Shyrma
Alex Black
Samuel Audet
Alexander Stoyakin
shugeo
Fariz Rahman
Robert Altena