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
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
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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
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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
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
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* Move last few tests from deeplearning4j-nn to -core
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* Remove incorrect TF import mapping for TensorMmul op
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* Cleaned TF mapping
* Fix path for test results on windows
* Remove old dependency
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* 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
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2020-01-24 22:35:00 +03:00
5d69069177
[WIP] Memory limits ( #167 )
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* - consume ErrorCode every time
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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
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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2020-01-22 16:12:30 +03:00
7783012f39
cuDNN integration ( #150 )
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* one file
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* platform engine tag
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* HAVE_CUDNN moved to config.h.in
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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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* move mkldnn out of CPU block
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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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* 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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2020-01-20 21:32:46 +03:00
29e8e09db6
String changes ( #3 )
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* initial commit
* additional data types & tensor type
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* next step
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* missing include
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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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* string_split indices
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* DataBuffer: move inline methods to common implementations
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* DataBuffer creation
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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
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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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* memcpy instead of databuffer swap
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* redundant call
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* print_variable op
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* - view handling (but wrong one)
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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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* meh
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* ...
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* disable some debug messages
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* master pulled in
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* two failing tests pass
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* now we pass DataBuffer to legacy ops too
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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 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2020-01-04 09:06:44 +03:00
29104083cc
Various fixes ( #143 )
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* #8568 ArrayUtil optimization
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #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 )
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* Allow scalar op result array auto allocation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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 )
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* reduce bool changes
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* reduce bool tweaks
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-09 20:08:59 +03:00
e09a785232
Shugeo resize fix5 ( #102 )
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* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-05 22:05:33 +03:00
d19eeaec52
Shyrma casual conv1d ( #90 )
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* - add causal mode of padding to convolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add additional tests for causal conv1d
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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
Signed-off-by: Yurii <iuriish@yahoo.com>
* More thorough causal conv1d tests
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-11-29 14:14:30 +03:00
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
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed proporly processing of an empty output and test.
* Refactored op to less threshold data to float.
* Implemented cuda-based helper for non_max_suppression_v3 op.
* Fixed fake_quant_with_min_max_vars op.
* Fixed tests with float numbers.
* - assert now stops execution
- sortByKey/sortByValue now have input validation
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* missing var
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* Fixed proper processing for zero max_size inputs.
* Refactored kernel callers.
* Fixed return statement for logdet op helper.
* Refactored unsorted segment SqrtN op.
* get back 8 tail bytes on CUDA
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* Refactored segment prod ops and helpers for cuda and tests.
* Additional test.
* CudaWorkspace tests updated for 8 tail bytes
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* special atomic test
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* atomicMul/atomicDiv fix for 16bit values
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* Eliminated waste prints.
2019-11-28 21:08:51 +03:00
e910ce75ec
Various Fixes ( #75 )
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* #8431 Cast loss function weights array automatically
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add 'regex verbose mode' printing (ExecDebugListener) for TFGraphTestAllSameDiff'
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* Class import mapping fix
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* Reshape fixes
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* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)
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2019-11-23 20:06:12 +11:00
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
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* Refactored non_max_suppression helper.
* Refactored shape generation and input handling.
* Added additional test.
2019-11-22 22:42:44 +03:00
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
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* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads
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* java side
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* trigger jenkins
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* update LessThanOrEqual opNum mapping
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* update LessThanOrEqual opNum mapping
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2019-11-21 15:43:03 +03:00
83cb0d9329
[WIP] Create and small fix ( #67 )
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* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea
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* Create op and mapping for it
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2019-11-21 13:31:20 +03:00
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
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* - profiling mmul helpers
Signed-off-by: Yurii <iuriish@yahoo.com>
* - prints to check shapes were added
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* - correct type of output array Cin mmulNxN
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* - take into account possible nans in C array
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* slightly change numThreads message
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* - make corrections in accordance to given notes in pr review
Signed-off-by: Yurii <iuriish@yahoo.com>
2019-11-19 15:39:36 +02:00
c5cbdcd8f4
[WIP] clang for jcpp ( #53 )
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* clang as compiler for jcpp
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* we don't need macos profile
Signed-off-by: raver119 <raver119@gmail.com>
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
Signed-off-by: raver119 <raver119@gmail.com>
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
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
Signed-off-by: raver119 <raver119@gmail.com>
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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More SameDiff cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour
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* #8252 TanhDerivative javadoc
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* #8225 Deconvolution2D input validation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #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
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* Round 2
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* Round 3
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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs
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* Next steps
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* Next step
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* Cleanup
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* More polish
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* Fix
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* Add WeakIdentityHashmap
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* Session fixes for control ops and next steps
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* More fixes
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* Fixes
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* First steps for training session + in-line updating
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* Next steps
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* Fix losses and history during training
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* More fixes
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* BiasAdd and other fixes
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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)
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* Small fix
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* Cleanup
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* First steps for new dependency tracking approach
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* Start integrating dependency tracking for memory management
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* Non-control op dependency tracking works/passes
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* Switch/merge
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* Next steps
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* Cleanup and next steps
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* Small fixes
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* Fix issue dependency tracking for initial variables/constants
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* Add check for aliases when determining if safe to close array
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* First pass on new TF graph import class
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* Import fixes, op fixes
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* Cleanup and fixes for new TF import mapper
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* More cleanup
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* Partial implementation of new dependency tracker
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* Next steps
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* AbstractDependencyTracker for shared code
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* Overhaul SameDiff graph execution (dependency tracking)
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* More fixes, cleanup, next steps
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* Ad no-op memory manager, cleanup, fixes
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* Fix switch dependency tracking
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* INDArray.toString: no exception on closed arrays, just note closed
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* Fix enter and exit dependency tracking
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* TensorArray memory management fixes
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* Add unique ID for INDArray instances
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* Fix memory management for NextIteration outputs in multi-iteration loops
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* Remove (now unnecessary) special case handling for nested enters
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* Cleanup
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* Handle control dependencies during execution; javadoc for memory managers
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* Cleanup, polish, code comments, javadoc
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* Cleanup and more javadoc
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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released
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* Clean up arrays waiting on unexecuted ops at the end of execution
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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames
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* Fix order of operation issues for dependency tracker
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* Always clear op fields after execution to avoid leaks or unintended array reuse
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* Small fixes
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* Re-implement dtype conversion
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* Fix for control dependencies execution (dependency tracking)
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* Fix TF import overrides and filtering
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* Fix for constant enter array dependency tracking
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* DL4J Fixes
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* More DL4J fixes
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* Cleanup and polish
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* More polish and javadoc
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* More logging level tweaks, small DL4J fix
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* Small fix to DL4J SameDiffLayer
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* Fix empty array deserialization, add extra deserialization checks
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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests
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* Variable control dependencies serialization fix
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* Fix issue with removing inputs for ops
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* FlatBuffers NDArray deserialization fix
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* FlatBuffers NDArray deserialization fix
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* Small fix
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* Small fix
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* Final cleanup/polish
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2019-10-23 21:19:50 +11:00
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
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* remove useage of n4j.sparseFactory
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* Nd4j.sparseFactory removed.
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* sparseNDArray deleted.
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* iremove more sparse calls and constants.
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* remove SparseBlasWrapper.
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* delete BaseSparseBlaswrapper.
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* remove 3 sparse factory classes.
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* delete SparseCPULevel.
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* deletes JcusparseLevel, CUDASparselevel.
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* delete nativeCPU sparse classes.
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* removes sparse methods from NDArrayFactory.
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* more deletes.
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* delete (ignored) tests. BaseSparseNDArray.
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* deletes ISparseNDArray.
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* remove sparse methods from indArray.
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* deletes sparse classes.
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2019-09-17 22:56:29 +03:00
a66e03355e
Merge remote-tracking branch 'fork/master'
2019-09-12 12:20:57 +10:00
98e2814879
Platform helpers ( #8216 )
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* platform helpers draft
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* typo
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* disable platform cmake
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* another draft
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* mkldnn convolution refactored
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* minor tweaks
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* one more safety check
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* prototype works
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* meh
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* force static library mode for mkldnn
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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware
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* bunch of small fixes
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* declare concurrent
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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
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* - avgpool2d_bp/maxpool2d_bp APIs update
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* - conv2d/batchnorm APIs update
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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update
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* all ops converted to MKLDNN 1.x
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* bunch of tweaks
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* namespace for platform helpers
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* make sure platform helpers aren't opimized out
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* build cpu_features on x86 systems
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* build cpu_features on x86 systems
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* more of cpu_features
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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory
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* F16C definition renamed
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* some mkldnn rearrangements
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* check supported instructions before doing anything
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* typo
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* missied impl
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* BUILD_PIC option
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* conv2d fix
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* avgpool3d fix
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* avgpool3d_bp fix
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* avgpool2d_bp leak fix
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* avgpool3d_bp leak fix
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* maxpool bp leaks fixed
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* printf removed
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* batchnorm fix
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* AVX warning/error polishing
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* Fix
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* More polish
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* Polish
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* remove previous MKL-DNN support layer
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* avx2 tweak
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* allow static for apple
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* exclude mkldnn in one more place
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* exclude mkldnn in one more place
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* restore OPENBLAS_PATH use
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* add runtime check for avx/avx2 support
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* convolution_auto
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* Add logic for helper argument
* minor test fix
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* few tweaks
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* few tweaks
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* skip OpTracker props for non-x86 builds
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* linux arm isn't x86 :)
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* avx-512
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* CUDA presets fix
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* BUILD_PIC
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* prefetchw for avx2
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* BUILD_PIC again
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2019-09-11 21:50:28 +03:00
c99f980513
INDArray javadoc ( #246 )
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* 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
f25e3e71e5
remove lengthLong ( #236 )
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Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-05 11:19:38 +10:00
a90c7dd995
[WIP] Last set of changes ( #234 )
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* mmul op instead of cublasSgemm
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* transB
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* jcpp handles
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* bitwise and/or/xor
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* bitwise and/or/xor mapping
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* cuda/cublas version check
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* add expected version
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* cuda/cublas version check in java
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* one more error check
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* build fix
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* build fix
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* build fix
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* one more fix
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* skip CUDA version check for now
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* better wording
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* few more tweaks
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* few more tweaks
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2019-09-04 14:41:08 +03:00
d3253aff3f
dedicated lock for getCudaCublasHandle
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2019-09-02 20:01:13 +03:00
18828f9725
cublasHandle sharing + lock
...
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2019-09-02 16:52:10 +03:00
82c9dc5743
ELU fix ( #219 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-02 18:37:05 +10:00
6d04d30c94
INDArray.java javadoc ( #215 )
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* javadoc
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* javadoc
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2019-09-02 16:06:20 +10:00
1003428a18
[WIP] Int broadcastables ( #195 )
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* Removed invalid resource and fixed tests
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* legacy scalar/pairwise/broadcast int ops
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* NDArray int broadcastables
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* few more bitwise tests
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* java side update
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* Argument type changed for shift ops
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* legacy scalar/pairwise/broadcast int ops
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* NDArray int broadcastables
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* few more bitwise tests
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* java side update
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* Argument type changed for shift ops
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2019-08-30 10:12:40 +03:00
raver119
Alex Black
Alexander Stoyakin
shugeo
Yurii Shyrma
Samuel Audet
Robert Altena