97c7dd2c94
Merge pull request #8641 from KonduitAI/master
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Update Eclipse master from working repo
2020-01-27 16:01:20 +11:00
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
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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
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-01-24 22:35:00 +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
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
* 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
29104083cc
Various fixes ( #143 )
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* #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
010744ef9c
Lu wrapper and tests fixes ( #144 )
...
* Tests fixed
* Lu added
* Test fixed
* Default timeout
* Tests timeouts fixed.
* TF import fix
* Timeouts added
* Timeout fixed.
* Test corrected
* rgb and yiq conversion ops added
* Converter ops added
* Header
* Yuv converters
* API added
* Empty test for matmul
* Explanation
* skip gemm/gemv on empty inputs
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* Test added
* Correct test
* one more empty pass-through for mmul
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* Cleanup
* Test added
* Test fixed
* Added missing mapping
* Added missing mapping
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2019-12-30 15:06:12 +03:00
ce02b6fae7
Small fixes ( #140 )
...
* Allow scalar op result array auto allocation
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* Don't swallow underlying exception for calculateOutputShape execution failures
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ignore for known keras failure
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-21 17:00:46 +11:00
f5068f3980
Added missing Java ops wrappers ( #122 )
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* Timeouts added
* Added some ops
* Ops added
* Fixed tests
* Minor fix
* Some fixes
* Digamma added
* Small fixes
* Timeouts added
* Added some ops
* Ops added
* Fixed tests
* Minor fix
* Some fixes
* Digamma added
* Small fixes
* Fused batch norm fixes-
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests switched off.
* Added test for resize_bicubic.
* Eliminated wasted in test of bicubic resize.
* Switched off multithreading explicit.
* HsvToRgb and RgbToHsv added
* Eliminated waste comments and conform proper float constants.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed multithreading with resize_bicubic helper for cpu platform.
Signed-off-by: shugeo <sgazeos@gmail.com>
* ResizeBicubic was fixed.
* Some fixes
* Fix op name
* Validation fixed.
* Clarifications for tests
* Wrappers and small fixes for new ops.
2019-12-19 20:15:48 +11:00
65ef0622ff
Update Japanese translation for Deeplearning4J UI ( #8525 )
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Signed-off-by: k-tamura <ktamura.biz.80@gmail.com>
2019-12-17 12:37:07 +09:00
972fae60dc
Update master ( #8511 )
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* cleaned up bert iterator tests (#110 )
Signed-off-by: eraly <susan.eraly@gmail.com>
* Various pre-release fixes (#111 )
* Various fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix default dtypes for MaxPoolWithArgmax
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small pre-release tweak (#112 )
* Log UI address on launch as in previous Play-based UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Logging level tweak for UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* http not https
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* datavec python ensure host (#113 )
* ensure host
* one more host ensure
* info->debug
* [WIP] reverse improvements (#115 )
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* reverse draft
Signed-off-by: raver119 <raver119@gmail.com>
* reverse kernel
Signed-off-by: raver119 <raver119@gmail.com>
* reverse kernel
Signed-off-by: raver119 <raver119@gmail.com>
* 2 micro fixes
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-06 11:10:44 +03:00
9592072cef
Merge pull request #8457 from chentao106/Fix#8383
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Fix#8383，getMostPopulatedClusters should sort by cluster's points siz…
2019-12-05 12:09:38 +11:00
91de96588c
BertIterator sentence pair support for supervised training ( #108 )
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* bert iterator sentence pair handling
Signed-off-by: eraly <susan.eraly@gmail.com>
* bert iterator sentence pair handling -seg
Signed-off-by: eraly <susan.eraly@gmail.com>
* bert iterator sentence pair handling tests
Signed-off-by: eraly <susan.eraly@gmail.com>
* test with pairs long done
Signed-off-by: eraly <susan.eraly@gmail.com>
* more tests with bert iter sent pairs done
Signed-off-by: eraly <susan.eraly@gmail.com>
* fixed copyright, formatting
Signed-off-by: eraly <susan.eraly@gmail.com>
* bert iterator - added featurizer for sentence pair inference
Signed-off-by: eraly <susan.eraly@gmail.com>
* bert iterator - finished tests
Signed-off-by: eraly <susan.eraly@gmail.com>
* bert iterator - finished tests, polish
Signed-off-by: eraly <susan.eraly@gmail.com>
* collection labeled sentence provider
Signed-off-by: eraly <susan.eraly@gmail.com>
* lombok fix for pojo class
Signed-off-by: eraly <susan.eraly@gmail.com>
* java doc misc clean up
Signed-off-by: eraly <susan.eraly@gmail.com>
* Private access modifiers
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-12-04 23:35:38 +11:00
9cc8803b8d
DL4J + Keras import: Causal Conv1D support ( #107 )
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* Keras causal conv1d support first steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Causal conv mode
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Gradient check and fixes for causal conv1d
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix Conv1D import and testing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small keras test fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* Don't allow setting causal convolution mode to conv2d/3d layers
Signed-off-by: Alex Black <blacka101@gmail.com>
* More robustly infer nIn for recurrent layers for ambiguous NCW and NWC cases
Signed-off-by: Alex Black <blacka101@gmail.com>
* Polish and cleanup
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-12-04 22:52:06 +11:00
5e07998e59
Add support for CUDA 10.2 ( #89 )
2019-11-29 16:31:03 +11:00
c01496ce5d
Fix#8383，getMostPopulatedClusters should sort by cluster's points size desc.
2019-11-27 22:35:55 +08:00
8843c7377a
Update shaded Jackson version to 2.10.1 ( #82 )
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* Update shaded Jackson version to 2.10.1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove no longer needed scala compiler plugin from UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix op name for BitwiseAnd op
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* TimeDistributedLayer mask array fix + test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-26 19:24:38 +11:00
4b50b920c7
Re-add UI auto-attach functionality with test; also fixes ( #80 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-25 22:52:02 +11:00
0e3fcdc24d
[WIP] DL4J nearestneighbors-sever: Play ->Vertx ( #79 )
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* Switch Nearest neighbors server implementation from Play to Vertx
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* No more scala version suffix for nearest neighbor server
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* logback.xml fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Header tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-25 18:46:34 +11:00
5b2ee72673
DL4J Time Distributed + fixes + Vertx module profiles fix ( #78 )
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* Add test profiles to vertx module
* Arbiter test tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add TimeDistributed wrapper layer
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests for TimeDistributed layer
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small test dependency exclusion for Spark module
* Fixes, more thorough tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-25 16:00:21 +11:00
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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-23 20:06:12 +11:00
8d87b078c2
Fix master ( #74 )
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* Remove non-existent cases
Signed-off-by: Paul Dubs <paul.dubs@gmail.com>
* Add dependency for non-oracle jdk
Signed-off-by: Paul Dubs <paul.dubs@gmail.com>
2019-11-23 12:09:37 +11:00
962575dd62
Keras import: Add support for sparse cross entropy loss function ( #73 )
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* #6377 Keras sparse cross entropy loss import support
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix small bug in reshape preprocessor
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-23 00:16:13 +11:00
6f514e9431
DL4J UI: Migrate from Play to Vertx ( #68 )
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* Vertx transition initial steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Assets serving works
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add other pages
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add remaining modules
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Delete deeplearning4j-play module
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SD UI module
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Main UI works
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Multi-session UI fixed
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* TSNE fixed
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Polish, fixes, re-add CLI launch option
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix remote UI functionality
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Final tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove Scala version suffix from deeplearning4j-ui
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update Arbiter UI to vertx
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Missing version tag
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove (now unneeded) scala from arbiter UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Move vertx version to parent pom
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch template loading from classpath to a more reliable mechanism
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix for I18N message loading
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch to shaded jackson for UI module JSON conversion
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small test tweaks and copyright header fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* pom file copyright headers
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* plugins -> pliginManagement for java 8 modules
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* plugins -> pliginManagement for java 8 modules
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-22 23:50:34 +11:00
4a2fedf3e7
DL4J: Add Sparse multi-class cross entropy loss function ( #72 )
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* #8432 Add sparse mcxent loss
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes for LossSparseMCXENT
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* add simple debugging listener for SameDiff exec debugging
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Extra gradient check + header polishing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-22 18:54:31 +11:00
823bd0ff88
Fixes #8415 , BERT iterator inference ( #71 )
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* Convenience method for inference with BERT iterator
Signed-off-by: eraly <susan.eraly@gmail.com>
* Included preprocessing
Signed-off-by: eraly <susan.eraly@gmail.com>
* Copyright + example
Signed-off-by: eraly <susan.eraly@gmail.com>
2019-11-22 13:19:28 +11:00
630409cd53
Fixes Keras import issue (8373) ( #54 )
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* test
* fix
* rem prn
* add test
2019-11-20 13:19:04 +11:00
8f96f71f2b
Mist gradient check ( #57 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-19 00:12:59 +11:00
a856922fe9
#8409 Fix compgraph backprop issue with dual embedding layers from single input ( #52 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-16 23:09:41 +11:00
09a827fb6d
Fixes and pre-release QA ( #51 )
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* #8395 Keras import - support scaled identity weight init
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More Keras scaled weight init fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8352 Deprecate duplicate SamplingDataSetIterator class
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove /O2 optimization for faster CUDA build
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tweak regression test precision for CUDA
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix edge cases for buffer creation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update MKLDNN validation tests to new helper enable/disable settings
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Delete debugging class
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* MKLDNN test - add proper skip for CUDA backend
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Align WeightInitUtil with weight init classes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for SameDiff test layers weight init when using IWeightInit classes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-16 17:04:29 +11:00
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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Unused dependencies, round 2
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Unused dependencies, round 3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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
18c01f5bdc
Add SameDiff memory reuse memory manager (array cache) ( #39 )
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* Attention op comments
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* ArrayCacheMemoryMgr - first pass
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tweak array cache for use with SameDiff identity arrays
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* ArrayCacheMemoryMgr javadoc and properly get max memory
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* LRU cache policy + add tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Resize arrays internally if required for ArrayCacheMemoryMgr
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Test improvement
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-12 21:15:44 +11:00
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
df8b4e607a
SameDiff: make use of DeviceLocal configurable ( #32 )
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* #8340 make DeviceLocal configurable
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J SameDiff layers: use SingleThreadArrayHolder to avoid assigns + DeviceLocalNDArray overhead
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-06 18:52:41 +11:00
2844f8b69a
Merge remote-tracking branch 'konduit/master'
2019-11-02 19:00:47 +11:00
9efd811508
Use DL4J workspaces for SameDiff layers in MLN/CG ( #23 )
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* #8329 DL4J workspace integration for SameDiff layers
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix bug for Nd4j.createUninitializedDetached for scalars (length 0 shape array)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* SameDiff output layer, graph vertex, various fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 17:42:01 +11:00
e9a7a13c00
More int/long compilation fixes ( #22 )
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Signed-off-by: Alex Black <blacka101@gmail.com>
2019-11-02 15:20:19 +11:00
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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Disable mkldnn backprop for now - pending fix, issue #8335
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small FlatBuffers serde fix, UInt8
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8135 ImagePreProcessingScaler - add segmentation support
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8319 Ensure listeners are called when they are supposed to be called
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8214 UNet (non-pretrained) last conv layer kernal size fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 11:25:53 +11:00
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
Signed-off-by: raver119 <raver119@gmail.com>
* c++ scatterUpdate changes
Signed-off-by: raver119 <raver119@gmail.com>
* Remove aggregated ops.
* Restored test
* Tests restored.
* Minor fixes
2019-10-31 11:23:09 +02:00
d333d29099
SameDiff cleanup and fixes ( #12 )
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* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution
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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8252 TanhDerivative javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8225 Deconvolution2D input validation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8224 SameDiff.zero and .one create constants, not variables
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More cleanup and fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small test fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J SameDiff fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Re-add hack for Deconvolution2DLayer until #8315 is resolved
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* All ND4J init logging checks system property
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove redundant device logging
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* One more fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* UX improvements
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Deconv fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add deconv tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove debug code
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-26 12:38:08 +11:00
d98784197a
[WIP] Some optimizations in dl4j ( #11 )
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* Minor optimization.
* Reduce number of objects.
* Extend arrays when limit reached
* Test
* Some fixes.
* Small fix
* Wrong condition fixed.
* Fixes of reallocation.
* Small fix.
* Tests
* Clean up
* Test added.
* Tests and some fixes.
* Test
* Test fixed.
* Conflict fixed.
* UX improved
2019-10-24 14:15:50 +03:00
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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Round 3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next step
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add WeakIdentityHashmap
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Session fixes for control ops and next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* First steps for training session + in-line updating
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* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix losses and history during training
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* More fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* BiasAdd and other fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
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* First steps for new dependency tracking approach
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup and next steps
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* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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
7f06df5826
Small URL fix ( #8297 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-18 11:25:58 +11:00
c4307384f3
Fixed shape for muli
2019-10-16 12:59:25 +03:00
b9a4b0f25f
Update links ( #8292 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-16 12:59:52 +11:00
6b557f2441
Merge remote-tracking branch 'fork/master'
2019-09-13 15:19:08 +10:00
c1bcbdda18
Build fix - tsne random method signature ( #259 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-13 13:40:46 +10:00
bdfeedb16d
Remove old datavec.spark.version tag ( #8232 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-09-12 23:43:01 +10:00
4f7b35ac82
Update links to eclipse repos ( #252 )
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* Fix repo links and clean up old github templates
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* More link updates
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2019-09-10 19:09:46 +10:00
Alex Black
Alexander Stoyakin
raver119
Kohei Tamura
Samuel Audet
CT
Susan Eraly
Fariz Rahman