29e8e09db6
String changes ( #3 )
...
* initial commit
* additional data types & tensor type
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* next step
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* missing include
* sparse_to_dense
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* few more tests files
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* draft
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* numeric sparse_to_dense
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* comment
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* string sparse_to_dense version
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* CUDA DataBuffer expand
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* few tweaks for CUDA build
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* shape fn for string_split
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* one more comment
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* string_split indices
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* next step
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* test passes
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* few rearrangements for databuffer implementations
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* DataBuffer: move inline methods to common implementations
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* add native DataBuffer to Nd4j presets
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* DataBuffer creation
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* use DataBuffer for allocation
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* cpu databuffer as deallocatable
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* DataBuffer setters for bufers
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* couple of wrappers
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* DataBuffers being passed around
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* Bunch of ByteBuffer-related signatures gone
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* - few more Nd4j signatures removed
- minor fix for bfloat16
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* nullptr pointer is still a pointer, but 0 as address :)
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* one special test
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* empty string array init
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* one more test in cpp
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* memcpy instead of databuffer swap
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* special InteropDataBuffer for front-end languages
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* few tweaks for java
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* pointer/indexer actualization
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* CustomOp returns list for inputArumgents and outputArguments instead of array
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* redundant call
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* print_variable op
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* - view handling (but wrong one)
- print_variable java wrapper
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* one more test
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* - empty arrays handling
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* - deserialization works now
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* minor fix
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* meh
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* one more fix
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* initial cuda commit
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* print_variable message validation
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* CUDA views
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* CUDA special buffer size
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* minor update to match master changes
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* - consider arrays always actual on device for CUDA
- additional PrintVariable constructor
- CudaUtf8Buffer now allocates host buffer by default
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* meh
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* - print_variable now allows print from device
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* InteropDataBuffer data type fix
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* ...
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* disable some debug messages
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* master pulled in
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* couple of new methods for DataBuffer interop
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* java side
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* offsetted constructor
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* new CUDA deallocator
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* CUDA backend torn apart
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* CUDA backend torn apart 2
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* CUDA backend torn apart 3
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* - few new tests
- few new methods for DataBuffer management
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* few more tests + few more tweaks
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* two failing tests
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* one more test
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* two failing tests pass
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* now we pass DataBuffer to legacy ops too
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* Native DataBuffer for legacy ops, Java side
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* CPU java side update
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* CUDA java side update
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* no more prepare/register action on java side
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* NDArray::prepare/register use now accepts vectors
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* InteropDataBuffer now has few more convenience methods
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* java bindings update
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* tick device in NativeOps
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* Corrected usage of OpaqueBuffer for tests.
* Corrected usage of OpaqueBuffer for java tests.
* NativeOpsTests fixes.
* print_variable now returns scalar
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* one more test
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* compat_string_split fix for CUDA
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* - CUDA execScalar fix
- CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer
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* legacy ops DataBuffer migration prototype
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* ignore device shapeinfo coming from java
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* minor fix
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* minor transformAny fix
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* minor tweak for lazy host allocation
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* - DataBuffer::memcpy method
- bitcast now uses memcpy
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* - IndexReduce CUDA dimension buffer fix
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* views for CPU and CUDA
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* less spam
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* optional memory init
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* async memset
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* - SummaryStats CUDA fix
- DataBuffer.sameUnderlyingData() impl
- execBroadcast fix
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* - reduce3All fix
switch to CUDA 10 temporarily
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* CUDA version
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* proper memory deallocator registration
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* HOST_ONLY workspace allocation
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* temp commit
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* few conflicts resolved
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* few minor fixes
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* one more minor fix
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* NDArray permute should operate on JVM primitives
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* - create InteropDataBuffer for shapes as well
- update pointers after view creation in Java
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* - addressPointer temporary moved to C++
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* CUDA: don't account offset twice
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* CUDA: DataBuffer pointer constructor updated
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* CUDA NDArray.unsafeDuplication() simplified
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* CUDA minor workspace-related fixes
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* CPU DataBuffer.reallocate()
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* print_affinity op
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* print_affinity java side
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* CUDA more tweaks for data locality
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* - compat_string_split tweak
- CudaUtf8Buffer update
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* INDArray.close() mechanic restored
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* one more test fixed
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* - CUDA DataBuffer.reallocate() updated
- cudaMemcpy (synchronous) restored
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* one last fix
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* bad import removed
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* another small fix
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* one special test
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* fix bad databuffer size
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* release primaryBuffer on replace
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* higher timeout
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* disable timeouts
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* dbCreateView now validates offset and length of a view
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* additional validation for dbExpand
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* restore timeout back again
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* smaller distribution for rng test to prevent timeouts
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* CUDA DataBuffer::memcpy now copies to device all the time
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* OpaqueDataBuffer now contains all required methods for interop
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* some javadoc
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* GC on failed allocations
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* minoe memcpu tweak
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* one more bitcast test
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* - NDArray::deviceId() propagation
- special multi-threaded test for data locality checks
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* DataBuffer additional syncStream
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* DataBuffer additional syncStream
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* one ignored test
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* skip host alloc for empty arrays
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* ByteBuffer support is back
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* DataBuffer::memcpy minor fix
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* few minor prelu/bp tweaks
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* nullify-related fixes
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* PReLU fixes (#157 )
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* Build fixed
* Fix tests
* one more ByteBuffer signature restored
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* nd4j-jdbc-hsql profiles fix
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* nd4j-jdbc-hsql profiles fix
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* PReLU weight init fix
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* Small PReLU fix
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* - INDArray.migrate() reactivated
- DataBuffer::setDeviceId(...) added
- InteropDataBuffer Z syncToDevice added for views
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* missed file
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* Small tweak
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* cuda 10.2
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* minor fix
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Co-authored-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 13:27:50 +03:00
53d3bd1269
shallow delete of assign from SDBase. ( #164 )
...
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2020-01-04 15:26:39 +11:00
29104083cc
Various fixes ( #143 )
...
* #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
010744ef9c
Lu wrapper and tests fixes ( #144 )
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* 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 )
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* Allow scalar op result array auto allocation
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* Don't swallow underlying exception for calculateOutputShape execution failures
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* Ignore for known keras failure
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2019-12-21 17:00:46 +11:00
6d8a063c9b
nd4j-tests cleanup ( #137 )
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* Fixed tests
* Invalid test removed
2019-12-20 16:38:33 +03:00
3d8f6d50a1
SameDiff profiler / tracing and profile analysis/comparison ( #133 )
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* Profiler
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* Next steps, polishing, and loading SD/TF format JSON
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* Next steps
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* Profile comparison method
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* Make profiling result writing async to reduce main thread overhead
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* Profiling polishing
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* Fix
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* Profile analyzer fixes
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* Polish
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* Cleanup
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* Small formatting improvement
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* Formatting tweak
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* License headers
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2019-12-19 23:43:58 +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
0df1b46c8c
Merge
2019-12-10 15:08:50 +11:00
a5f5ac72b1
reduce bool changes ( #118 )
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* reduce bool changes
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* reduce bool tweaks
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2019-12-09 20:08:59 +03:00
927d591421
ResizeBicubic added ( #117 )
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* ResizeBicubic added
Some fixes.
* Test fixed
* Narrowed argument type changed to boolean
* Clean up
2019-12-09 18:25:39 +11:00
b32dd1bf92
[WIP] resize_bicubic types ( #116 )
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* resize_bicubic: allow more dtypes
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* resize_bicubic: allow less dtypes
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* Refactored resize_bicubic op to full conform with TF1.5 and tests.
* Corrected test to proper data type output.
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* Corrected double input test to float constant outputs.
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* Finished with correction of tests for bicubic interpolated resizes expected.
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* Fixed adjust_contrast ops to allow non-RGB inputs.
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* Refactored adjust_contrast_v2 to conform with TF one.
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* AdjustContrast tests activated
* two typos fixed
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2019-12-06 18:58:37 +03:00
972fae60dc
Update master ( #8511 )
...
* 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
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* 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
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* reverse draft
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* reverse kernel
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* reverse kernel
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* 2 micro fixes
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* 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
e7730eded4
delete unused and refactor. ( #8262 )
...
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-12-05 22:25:41 -05:00
e09a785232
Shugeo resize fix5 ( #102 )
...
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-05 22:05:33 +03:00
2052ce7026
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>
2019-12-05 14:20:03 +11:00
25b3cd9b80
[WIP] CUDA tests ( #95 )
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* one more CI test
Signed-off-by: raver119 <raver119@gmail.com>
* export additional symbols
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* few more tweaks
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* one more tweak for linux
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* fix dtype in few tests
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* missing sync and memset in couple of tests
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* copy step for libnd4j cuda
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* no-op on empty for adjust hue/contrast/saturation
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* CUDA_VERBOSE Off
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* BroadcastBool fix + few tests
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* trigger jenkins
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* trigger jenkins
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* - ignore couple of warnings
- remove redundant compiler options
Signed-off-by: raver119 <raver119@gmail.com>
2019-12-02 21:37:21 +03:00
5e152c0d9a
TF import tests - adding missing operations ( #65 )
...
* Add and fix mappings.
* Intermediate
* Added and fixed some mappings
* Added op
* Missing constructors added.
* Added new mappings
* SDImage wrappers and minor tweaks.
* Added missing constructor
* Some corrections
* Cleanup
* Small fixes
* Ops wrappers
* Minor fixes.
* Max Pooling
* MaxPoolWithArgmax
* Some fixes
* Ignores for failures
* Some ops fixed.
* Some fixes
* Missing package added
* Some fixes
* Ignored tests fixed.
* Some fixes
* Merge master
* bitcast fix
Signed-off-by: raver119 <raver119@gmail.com>
* Bitcast fixed
2019-12-02 21:23:06 +11:00
2be47082c9
#8470 TrainingConfig json fix for Evaluation instances ( #93 )
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-30 20:08:30 +11:00
35ab4a72ba
TF import test resources loading precision fixes ( #92 )
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* Fix precision issues when loading from CSV
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-30 18:58:37 +11:00
4fb9fa7748
Add ND4J namespaces ( #83 )
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* Add NDValidation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add bitwise namespace
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Math namespace op constructor fixes
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* Constructor fixes
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* Add Math namespace
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* Update NDBitwise
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* Add random namespaces
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* Update
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* NN namespace
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* Small cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-30 18:39:32 +11:00
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
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add causal mode for cuda conv kernels
Signed-off-by: Yurii <iuriish@yahoo.com>
* Java side of Conv1D changes
Signed-off-by: raver119 <raver119@gmail.com>
* Add Conv1DDerivative op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Causal Conv1D gradient checks
Signed-off-by: Alex Black <blacka101@gmail.com>
* Tweaks
Signed-off-by: Alex Black <blacka101@gmail.com>
* - 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
abd2017a0a
Add ignore for known issue with non_max_suppression_v2/float16 test ( #85 )
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-27 16:35:05 +11:00
aa44fd6850
one more BitCast test
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-25 08:52:11 +03:00
e910ce75ec
Various Fixes ( #75 )
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* #8431 Cast loss function weights array automatically
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add 'regex verbose mode' printing (ExecDebugListener) for TFGraphTestAllSameDiff'
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Class import mapping fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Reshape fixes
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* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-23 20:06:12 +11:00
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
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* add simple debugging listener for SameDiff exec debugging
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* Extra gradient check + header polishing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-22 18:54:31 +11:00
064a56ccf1
Few fixes ( #66 )
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* skip legacy transforms execution in case of empty input arrays
Signed-off-by: raver119 <raver119@gmail.com>
* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads
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* java side
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* trigger jenkins
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* update LessThanOrEqual opNum mapping
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* update LessThanOrEqual opNum mapping
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2019-11-21 15:43:03 +03:00
83cb0d9329
[WIP] Create and small fix ( #67 )
...
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea
Signed-off-by: raver119 <raver119@gmail.com>
* Create op and mapping for it
Signed-off-by: raver119 <raver119@gmail.com>
2019-11-21 13:31:20 +03:00
da1944e8e1
SameDiff TF import ( #49 )
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* Added implementation files for image_resize and resize_bicubic ops.
* Image resize and image.resize_bicubic ops implementation. Initial revision.
* Minor fix
* Some TF imports disabled.
* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.
* Refactored resize methods.
* Added processing for Mitchelcubic algorithm.
* adjust_contrast
* Small fix for TF import expected value loading when variable name starts with the test name
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests
* Tests added.
* Removed tf names absent in mapping.
* Some fixes.
* Small fixes
* Minor change
* Some failing tests.
* Disable failed test
* Ignore some tests
* Fix import class mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix float property mapping (flatbuffers)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Override equality function for model 'dropout'
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fail tests
* Failed tests ignored temporarily.
* Minor fixes
* Small fix
* Conflict resolved
* Default implementations of tensorflowName and onnxName
2019-11-19 22:44:29 +11:00
1780dcc883
[WIP] Small fixes here and there ( #50 )
...
* one range test
Signed-off-by: raver119 <raver119@gmail.com>
* 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
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
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
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* 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
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* 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
0107fb10ab
Merge remote-tracking branch 'konduit/master'
2019-11-08 18:11:45 +11:00
2f84ea666d
Uniform distribution op tweaks + 'specified output dtype' constructor ( #38 )
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* Uniform distribution op tweaks + 'specified output dtype' constructor
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Validation tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-08 18:08:25 +11:00
24980efde3
Fix LogSumExp along dimension ( #35 )
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Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-07 23:36:15 +11:00
52c9918c6f
Testing slice and concat ( #8362 )
2019-11-07 14:47:37 +11:00
948ebef41c
Op Fixes ( #28 )
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* #8280 biasadd_bp nchw arg fixes (java side) + test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8285 Concat op Java side fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Concat op cpp fix - allow dynamic axis to be negative, same as static axis
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* ignores for deconv3d import tests until deconv3d_tf op is implemented
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-05 00:05:04 +11:00
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
d82877b18b
Various SameDiff fixes ( #21 )
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* MKLDNN LSTM forward implementation (disabled pending #8331 )
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8318 add SameDiff.calculateGradientsAndOutputs
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* Disable mkldnn backprop for now - pending fix, issue #8335
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* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement
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* Small FlatBuffers serde fix, UInt8
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* #8135 ImagePreProcessingScaler - add segmentation support
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* #8319 Ensure listeners are called when they are supposed to be called
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* #8214 UNet (non-pretrained) last conv layer kernal size fix
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
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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
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'
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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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* All ND4J init logging checks system property
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* Small tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove redundant device logging
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* One more fix
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* UX improvements
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* Deconv fix
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* Add deconv tests
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* Cleanup
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* Remove debug code
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-26 12:38:08 +11:00
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
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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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* AbstractDependencyTracker for shared code
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Overhaul SameDiff graph execution (dependency tracking)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More fixes, cleanup, next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ad no-op memory manager, cleanup, fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix switch dependency tracking
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* INDArray.toString: no exception on closed arrays, just note closed
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix enter and exit dependency tracking
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* TensorArray memory management fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add unique ID for INDArray instances
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix memory management for NextIteration outputs in multi-iteration loops
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove (now unnecessary) special case handling for nested enters
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Handle control dependencies during execution; javadoc for memory managers
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup, polish, code comments, javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup and more javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Clean up arrays waiting on unexecuted ops at the end of execution
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fixes for enter op memory managent in the context of multiple non-nested loops/frames
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix order of operation issues for dependency tracker
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Always clear op fields after execution to avoid leaks or unintended array reuse
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Re-implement dtype conversion
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for control dependencies execution (dependency tracking)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix TF import overrides and filtering
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix for constant enter array dependency tracking
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J Fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More DL4J fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup and polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More polish and javadoc
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More logging level tweaks, small DL4J fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix to DL4J SameDiffLayer
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix empty array deserialization, add extra deserialization checks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Variable control dependencies serialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix issue with removing inputs for ops
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FlatBuffers NDArray deserialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FlatBuffers NDArray deserialization fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Final cleanup/polish
Signed-off-by: AlexDBlack <blacka101@gmail.com>
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
d5002b14c7
New ops wrappers
2019-10-16 12:59:08 +03:00
b9a4b0f25f
Update links ( #8292 )
...
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-10-16 12:59:52 +11:00
50b13fadc8
nd4j-api cleanup. ( #8273 )
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* nd4j-api cleanup.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* restore deleted schemes.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-10-08 21:48:22 +11:00
f98f8be7b6
SameDiff ops ( #8247 )
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* update javadocs and a few method signatures
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add PRelu op
Signed-off-by: Ryan Nett <rnett@skymind.io>
* test and fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add PRelu op
Signed-off-by: Ryan Nett <rnett@skymind.io>
* test and fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* slightly better test
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-09-19 11:52:20 +10:00
raver119
Robert Altena
Alex Black
Alexander Stoyakin
shugeo
Yurii Shyrma
Samuel Audet
longzhendong