5e9ee8b958
ND4J no backend URL ( #453 )
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Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-12 14:52:48 +10:00
0613485654
compression ops ( #436 )
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* Added declarations for decode/encode_bitmap ops.
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* Added implementation for bitmap encoding/decoding ops.
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* Added helpers for encode/decode bitmap ops.
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* Refactored encodingBitmap helper.
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* threshold encode/decode skeleton
* helper skeleton
* minor import fix
* encoder shape fn & op impl
* thresholdEncode cpu impl
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* thresholdDecode cpu impl
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* Only cosmetical changes.
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* placeholder
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* Added cuda implementation for bitmap decode helper.
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* cuda thresholdEstimate
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* cuda thresholdDecode
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* next step
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* - nano cmakelist update (get rid of Clion section)
- fixed forgotten throw in AtomicTests
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* thesholdEncode cuda impl
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* Added tests for bitmap encoding/decoding ops.
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* Fixed tests for encode/decode bitmaps.
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* Refactored decode/encode helpers.
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* Fixed crashes with bitmap decode/encode helpers.
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* bitmap encode/decode CPU
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* bitmap encode/decode CUDA
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* C API removed for threshold/bitmap encode
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* EncodeBitmap/DecodeBitmap Java side
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* EncodeThreshold/DecodeThreshold Java side
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* EncodeThreshold/DecodeThreshold Java side
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* few more tests for threshold encoding
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* minor test tweak
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* two special tests
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* encodeBitmap CPU fix
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* parallel_long/parallel_double proper spans fix
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* encodeThreshold CUDA fix
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* nano fix
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* grid tweaks
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* RTX adaptation for thresholdEncode
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* don't allow threshold encoding for length < 2
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* get rid of NDArrayCompressor in EncodingHandler
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* one more minor update of EncodingHandler
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* one more minor tweak of EncodingHandler
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* - matmul allows integer data types use
- EncodingHandler boundary default value
- few tests for integer matmul
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* minor fix of CUDA bitmap encode
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* boundary changed to integer everywhere
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* boundary changed to integer everywhere
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* re-enable CUDA deallocator
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* threshold encoder fix for systems without omp
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* - encode_threshold now requires non-negative boundary
- minor tweak in EncodingHandler
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* restore parallelism in decode_bitmap
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* fall back to omp for encode_bitmap cpu
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* single time casts
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* - additional test for encode_threshold
- sync buffers to device before calling for shape function
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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-08 20:59:39 +03:00
88d3c4867f
Refactor packages to fix split package issues ( #411 )
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* Refactor nd4j-common: org.nd4j.* -> org.nd4j.common.*
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* Fix CUDA (missed nd4j-common package refactoring changes)
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* nd4j-kryo: org.nd4j -> org.nd4j.kryo
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* Fix nd4j-common for deeplearning4j-cuda
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* nd4j-grppc-client: org.nd4j.graph -> org.nd4j.remote.grpc
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* deeplearning4j-common: org.deeplearning4.* -> org.deeplearning4j.common.*
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* deeplearning4j-core: org.deeplearning4j.* -> org.deeplearning.core.*
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* deeplearning4j-cuda: org.deeplearning4j.nn.layers.* -> org.deeplearning4j.cuda.*
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* Import fixes
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* deeplearning4j-nlp-*: org.deeplearning4.text.* -> org.deeplearning4j.nlp.(language).*
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* deeplearning4j-ui-model: org.deeplearning4j.ui -> org.deeplearning4j.ui.model
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* datavec-spark-inference-{server/model/client}: org.datavec.spark.transform -> org.datavec.spark.inference.{server/model/client}
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* datavec-jdbc: org.datavec.api -> org.datavec.jdbc
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* Delete org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter in favor of (essentially identical) org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter
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* ND4S fixes
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* Fixes
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* nd4j-common-tests: org.nd4j.* -> org.nd4j.common.tests
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* Trigger CI
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* Fixes
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* #8878 Ignore CUDA tests on modules with 'nd4j-native under cuda' issue
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* Fix bad imports in tests
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* Add ignore on test (already failing) due to #8882
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* Import fixes
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* Additional import fixes
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2020-04-29 11:19:26 +10:00
bc8a9d1996
allocation of buffers backed by workspaces with 1 method call instead of 3 now ( #420 )
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2020-04-28 20:38:16 +03:00
04b2b4f9b6
Few fixes ( #361 )
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* INDArray.close() fix for CPU
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* - BroadcastableBoolOp introduced
- ConfusionMatrix now supports explicit DataType argument
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* confusion_matrix: dtype is still optional
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* disable bert tests in debug builds
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* Affinity fix
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* minor workspace tweak to allow close() on scoped out borrowed workspace
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2020-04-06 21:01:59 +03:00
f79207033b
SameDiff multi-threaded inference ( #263 )
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* #8682 Don't log openmp BLAS threads for CUDA
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* #8654 Add SameDiff multi-threaded tests
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* Switching to op context for SameDiff exec
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* Next steps
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* Most back to passing
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* Fixes
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* Better tests, test refactoring
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* Small tweak
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* Code duplication reduction
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* More code deduplication
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* CUDA fixes
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* More CUDA fixes
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* More fixes
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* Small fix
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* ND4S small fixes
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2020-03-20 21:24:39 +11:00
9c77bfa85f
Support for more numpy datatypes ( #241 )
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* Adding more datatypes support in datavec-python
* Using numpy C API for creating numpy arrays
* Adding parameterized tests
* Adding support for BFLOAT16 (by converting it to FLOAT)
* Cleanup
* Using casting instead of creating an array
* Giving out a warning while casting array from BFLOAT16 to FLOAT
* Add syncToPrimary and syncToSpecial methods to BaseDataBuffer
Signed-off-by: Alex Black <blacka101@gmail.com>
* Python exec: sync to host before passing pointers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Added copyright header
* use np api (#267 )
* python exec / numpy - check object type before cast (#268 )
* use np api
* verify object before cast
* fix cong
* cuda fix
* inplace test + tiny fix
* more test
* fix double alloc
* rem tags
* fix cuda check
* Fix implicit CUDA dependency in datavec-python tests; remove new method, add test
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Fariz Rahman <farizrahman4u@gmail.com>
2020-03-19 00:48:37 +11:00
5d28e6143d
OpContext handling ( #214 )
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* nano tweaks
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* OpContext tweaks
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* OpContext deallocators
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* get rid of few mkldnn safety checks
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* databuffer setSpecial fix
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2020-02-05 07:27:24 +03:00
5d98cfcf47
Configurable DataType for ops ( #201 )
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* initial commit
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* - one more test for OneHot with dtype
- one more signature in Nd4j
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* ones_as/zeros_as now accept dtype
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* one more test
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* - more updates for configurable data types
- ones_as/zeros_as java side + tests
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* few c++ tests fixed
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* few more changes around DArgs
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2020-01-30 18:46:12 +03:00
7ef0ef907e
Packages fix ( #193 )
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* packages fix
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* few imports fixed
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* few imports fixed
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2020-01-27 23:04:21 +03:00
531a72fabd
execution mode ( #183 )
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* initial commit
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* execution mode java side
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* meh
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* move exec mode to ContextPrototype
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* copyrights
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2020-01-27 10:00:07 +03:00
5d69069177
[WIP] Memory limits ( #167 )
...
* initial commit
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* one more initial commit
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* additional initial commit
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* subsequent initial commit
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* initial commit testing
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* initial commit per device
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* initial commit per group
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* initial commit for cuda
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* initial commit for cuda + few missed lines
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* initial commit for cuda + missed includes
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* initial commit for cuda + one more missed include
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* initial commit shouldn't count host mem as dev0 in cuda
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* initial commit that tracks HOST group limits for CUDA
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* initial commit with some Environment changes
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* initial commit with more Environment changes
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* initial commit with maxMasterThreads fix
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* initial commit with maxMasterThreads fix
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* initial commit without maxMasterThreads exception
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* initial commit without Nd4jULong in Environment
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* add sleep and more iterations for OOM cases
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* limits propagation from java side
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* - consume ErrorCode every time
- one test for memory limits
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* unordered_map
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* unordered_map
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* unordered_map
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* RSub op mapping fixed
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* typo fixed
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* one bad test fixed
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2020-01-24 10:11:09 +03:00
29e8e09db6
String changes ( #3 )
...
* initial commit
* additional data types & tensor type
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* next step
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* missing include
* sparse_to_dense
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* few more tests files
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* draft
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* numeric sparse_to_dense
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* comment
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* string sparse_to_dense version
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* CUDA DataBuffer expand
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* few tweaks for CUDA build
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* shape fn for string_split
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* one more comment
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* string_split indices
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* next step
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* test passes
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* few rearrangements for databuffer implementations
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* DataBuffer: move inline methods to common implementations
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* add native DataBuffer to Nd4j presets
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* DataBuffer creation
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* use DataBuffer for allocation
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* cpu databuffer as deallocatable
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* DataBuffer setters for bufers
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* couple of wrappers
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* DataBuffers being passed around
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* Bunch of ByteBuffer-related signatures gone
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* - few more Nd4j signatures removed
- minor fix for bfloat16
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* nullptr pointer is still a pointer, but 0 as address :)
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* one special test
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* empty string array init
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* one more test in cpp
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* memcpy instead of databuffer swap
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* special InteropDataBuffer for front-end languages
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* few tweaks for java
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* pointer/indexer actualization
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* CustomOp returns list for inputArumgents and outputArguments instead of array
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* redundant call
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* print_variable op
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* - view handling (but wrong one)
- print_variable java wrapper
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* one more test
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* - empty arrays handling
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* - deserialization works now
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* minor fix
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* meh
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* one more fix
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* initial cuda commit
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* print_variable message validation
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* CUDA views
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* CUDA special buffer size
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* minor update to match master changes
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* - consider arrays always actual on device for CUDA
- additional PrintVariable constructor
- CudaUtf8Buffer now allocates host buffer by default
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* meh
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* - print_variable now allows print from device
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* InteropDataBuffer data type fix
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* ...
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* disable some debug messages
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* master pulled in
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* couple of new methods for DataBuffer interop
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* java side
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* offsetted constructor
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* new CUDA deallocator
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* CUDA backend torn apart
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* CUDA backend torn apart 2
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* CUDA backend torn apart 3
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* - few new tests
- few new methods for DataBuffer management
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* few more tests + few more tweaks
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* two failing tests
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* one more test
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* two failing tests pass
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* now we pass DataBuffer to legacy ops too
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* Native DataBuffer for legacy ops, Java side
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* CPU java side update
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* CUDA java side update
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* no more prepare/register action on java side
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* NDArray::prepare/register use now accepts vectors
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* InteropDataBuffer now has few more convenience methods
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* java bindings update
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* tick device in NativeOps
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* Corrected usage of OpaqueBuffer for tests.
* Corrected usage of OpaqueBuffer for java tests.
* NativeOpsTests fixes.
* print_variable now returns scalar
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* one more test
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* compat_string_split fix for CUDA
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* - CUDA execScalar fix
- CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer
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* legacy ops DataBuffer migration prototype
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* ignore device shapeinfo coming from java
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* minor fix
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* minor transformAny fix
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* minor tweak for lazy host allocation
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* - DataBuffer::memcpy method
- bitcast now uses memcpy
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* - IndexReduce CUDA dimension buffer fix
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* views for CPU and CUDA
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* less spam
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* optional memory init
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* async memset
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* - SummaryStats CUDA fix
- DataBuffer.sameUnderlyingData() impl
- execBroadcast fix
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* - reduce3All fix
switch to CUDA 10 temporarily
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* CUDA version
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* proper memory deallocator registration
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* HOST_ONLY workspace allocation
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* temp commit
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* few conflicts resolved
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* few minor fixes
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* one more minor fix
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* NDArray permute should operate on JVM primitives
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* - create InteropDataBuffer for shapes as well
- update pointers after view creation in Java
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* - addressPointer temporary moved to C++
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* CUDA: don't account offset twice
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* CUDA: DataBuffer pointer constructor updated
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* CUDA NDArray.unsafeDuplication() simplified
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* CUDA minor workspace-related fixes
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* CPU DataBuffer.reallocate()
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* print_affinity op
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* print_affinity java side
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* CUDA more tweaks for data locality
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* - compat_string_split tweak
- CudaUtf8Buffer update
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* INDArray.close() mechanic restored
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* one more test fixed
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* - CUDA DataBuffer.reallocate() updated
- cudaMemcpy (synchronous) restored
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* one last fix
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* bad import removed
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* another small fix
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* one special test
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* fix bad databuffer size
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* release primaryBuffer on replace
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* higher timeout
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* disable timeouts
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* dbCreateView now validates offset and length of a view
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* additional validation for dbExpand
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* restore timeout back again
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* smaller distribution for rng test to prevent timeouts
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* CUDA DataBuffer::memcpy now copies to device all the time
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* OpaqueDataBuffer now contains all required methods for interop
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* some javadoc
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* GC on failed allocations
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* minoe memcpu tweak
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* one more bitcast test
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* - NDArray::deviceId() propagation
- special multi-threaded test for data locality checks
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* DataBuffer additional syncStream
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* DataBuffer additional syncStream
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* one ignored test
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* skip host alloc for empty arrays
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* ByteBuffer support is back
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* DataBuffer::memcpy minor fix
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* few minor prelu/bp tweaks
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* nullify-related fixes
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* PReLU fixes (#157 )
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* Build fixed
* Fix tests
* one more ByteBuffer signature restored
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* nd4j-jdbc-hsql profiles fix
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* nd4j-jdbc-hsql profiles fix
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* PReLU weight init fix
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* Small PReLU fix
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* - INDArray.migrate() reactivated
- DataBuffer::setDeviceId(...) added
- InteropDataBuffer Z syncToDevice added for views
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* missed file
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* Small tweak
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* cuda 10.2
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* minor fix
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Co-authored-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 13:27:50 +03:00
451d9d57fd
shape function override ( #161 )
...
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2020-01-04 09:06:44 +03:00
29104083cc
Various fixes ( #143 )
...
* #8568 ArrayUtil optimization
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* #6171 Keras ReLU and ELU support
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* Keras softmax layer import
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* #8549 Webjars dependency management
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* Fix for TF import names ':0' suffix issue / NPE
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* BiasAdd: fix default data format for TF import
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* Update zoo test ignores
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* #8509 SameDiff Listener API - provide frame + iteration
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* #8520 ND4J Environment
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* Deconv3d
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* Deconv3d fixes + gradient check
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* Conv3d fixes + deconv3d DType test
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* Fix issue with deconv3d gradinet check weight init
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* #8579 Fix BaseCudaDataBuffer constructor fix for UINT16
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* DataType.isNumerical() returns false for BOOL type
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* #8504 Reduce Spark log spam for tests
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* Clean up DL4J gradient check test spam
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* More Gradient check spam reduction
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* SameDiff test spam reduction
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* Fixes for FlatBuffers mapping
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* SameDiff log spam cleanup
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* Tests should extend BaseNd4jTest
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* Remove debug line in c++ op
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* ND4J test spam cleanup
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* DL4J test spam reduction
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* More Dl4J and datavec test spam cleanup
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* Fix for bad conv3d test
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* Additional test
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* Embedding layers: don't inherit global default activation function
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* Trigger CI
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* Consolidate all BaseDL4JTest classes to single class used everywhere; make timeout configurable per class
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* Test fixes and timeout increases
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* Timeouts and PReLU fixes
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* Restore libnd4j build threads arg for CUDA build
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* Increase timeouts on a few tests to avoid spurious failures on some CI machines
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* More timeout fixes
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* More test timeout fixes
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* Tweak timeout for one more test
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* Final tweaks
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* One more ignore
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2020-01-04 13:45:07 +11:00
064a56ccf1
Few fixes ( #66 )
...
* skip legacy transforms execution in case of empty input arrays
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* - BroadcastBool ops now accept extraParams to make MatchCondition possible
- TrueBroadcastHelper now uses samediff::threads
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* java side
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* trigger jenkins
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* update LessThanOrEqual opNum mapping
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* update LessThanOrEqual opNum mapping
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2019-11-21 15:43:03 +03:00
3f38900c33
J9+ -> J8 ByteBuffer fix ( #59 )
...
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2019-11-20 07:43:17 +03:00
66b84b38cf
Shyrma mmul ( #58 )
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* - get rid of some copy procedures in mmulHelper ops
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* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class
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* - further work on cuda batched gamm api
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* - write own cuda kernel performing batched gemm
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* missing include in MmulHelper
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* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future
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* disable old tensordot
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* - rewrite cuda kernels for usualGemm and usualGemv
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* - profiling mmul helpers
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* - prints to check shapes were added
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* - correct type of output array Cin mmulNxN
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* - take into account possible nans in C array
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* slightly change numThreads message
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* - make corrections in accordance to given notes in pr review
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2019-11-19 15:39:36 +02:00
1eb3de90d7
[WIP] Platform helpers switches ( #44 )
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* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well
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* global platform-helpers trigger
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* few signatures renamed
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* - few new env variables to follow
- maxThreads/masterThreads differentiation
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* Javadoc update
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2019-11-14 14:35:02 +03:00
45a40c8a89
DL4J/ND4J: Do pass on integer casts ( #15 )
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* Int cast fixes.
* Revert "Int cast fixes."
This reverts commit aa36e8ca
* Int casts
* Int cast
* Int casts
* Get rid of int casts. Dropping deprecated aggregate ops.
* java scatterUpdate changes
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* c++ scatterUpdate changes
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* Remove aggregated ops.
* Restored test
* Tests restored.
* Minor fixes
2019-10-31 11:23:09 +02:00
d333d29099
SameDiff cleanup and fixes ( #12 )
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* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution
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* SameDiff API cleanup
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* More SameDiff cleanup
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* Small fixes
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* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour
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* #8252 TanhDerivative javadoc
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* #8225 Deconvolution2D input validation
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* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'
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* #8224 SameDiff.zero and .one create constants, not variables
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* More cleanup and fixes
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* Small test fix
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* Small fix
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* DL4J SameDiff fixes
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* Re-add hack for Deconvolution2DLayer until #8315 is resolved
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* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property
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* All ND4J init logging checks system property
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* Small tweak
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* Remove redundant device logging
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* One more fix
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* UX improvements
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* Deconv fix
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* Add deconv tests
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* Cleanup
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* Remove debug code
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2019-10-26 12:38:08 +11:00
3f0b4a2d4c
SameDiff execution, TF and memory management overhaul ( #10 )
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* SameDiff execution memory management improvements, round 1
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* Round 2
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* Round 3
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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs
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* Next steps
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* Next step
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* Cleanup
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* More polish
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* Fix
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* Add WeakIdentityHashmap
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* Session fixes for control ops and next steps
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* More fixes
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* Fixes
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* First steps for training session + in-line updating
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* Next steps
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* Fix losses and history during training
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* More fixes
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* BiasAdd and other fixes
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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)
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* Small fix
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* Cleanup
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* First steps for new dependency tracking approach
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* Start integrating dependency tracking for memory management
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* Non-control op dependency tracking works/passes
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* Switch/merge
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* Next steps
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* Cleanup and next steps
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* Small fixes
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* Fix issue dependency tracking for initial variables/constants
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* Add check for aliases when determining if safe to close array
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* First pass on new TF graph import class
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* Import fixes, op fixes
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* Cleanup and fixes for new TF import mapper
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* More cleanup
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* Partial implementation of new dependency tracker
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* Next steps
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* AbstractDependencyTracker for shared code
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* Overhaul SameDiff graph execution (dependency tracking)
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* More fixes, cleanup, next steps
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* Ad no-op memory manager, cleanup, fixes
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* Fix switch dependency tracking
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* INDArray.toString: no exception on closed arrays, just note closed
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* Fix enter and exit dependency tracking
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* TensorArray memory management fixes
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* Add unique ID for INDArray instances
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* Fix memory management for NextIteration outputs in multi-iteration loops
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* Remove (now unnecessary) special case handling for nested enters
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* Cleanup
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* Handle control dependencies during execution; javadoc for memory managers
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* Cleanup, polish, code comments, javadoc
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* Cleanup and more javadoc
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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released
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* Clean up arrays waiting on unexecuted ops at the end of execution
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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames
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* Fix order of operation issues for dependency tracker
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* Always clear op fields after execution to avoid leaks or unintended array reuse
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* Small fixes
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* Re-implement dtype conversion
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* Fix for control dependencies execution (dependency tracking)
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* Fix TF import overrides and filtering
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* Fix for constant enter array dependency tracking
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* DL4J Fixes
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* More DL4J fixes
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* Cleanup and polish
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* More polish and javadoc
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* More logging level tweaks, small DL4J fix
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* Small fix to DL4J SameDiffLayer
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* Fix empty array deserialization, add extra deserialization checks
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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests
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* Variable control dependencies serialization fix
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* Fix issue with removing inputs for ops
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* FlatBuffers NDArray deserialization fix
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* FlatBuffers NDArray deserialization fix
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* Small fix
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* Small fix
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* Final cleanup/polish
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2019-10-23 21:19:50 +11:00
83d958d536
Sparse matrix refactoring. ( #8238 )
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* remove sparse method from INDArray.
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* remove gemm
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* remove useage of n4j.sparseFactory
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* Nd4j.sparseFactory removed.
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* sparseNDArray deleted.
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* iremove more sparse calls and constants.
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* remove SparseBlasWrapper.
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* delete BaseSparseBlaswrapper.
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* remove 3 sparse factory classes.
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* delete SparseCPULevel.
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* deletes JcusparseLevel, CUDASparselevel.
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* delete nativeCPU sparse classes.
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* removes sparse methods from NDArrayFactory.
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* more deletes.
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* delete (ignored) tests. BaseSparseNDArray.
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* deletes ISparseNDArray.
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* remove sparse methods from indArray.
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* deletes sparse classes.
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2019-09-17 22:56:29 +03:00
98e2814879
Platform helpers ( #8216 )
...
* platform helpers draft
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* typo
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* disable platform cmake
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* another draft
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* mkldnn convolution refactored
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* minor tweaks
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* one more safety check
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* prototype works
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* meh
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* force static library mode for mkldnn
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* - ismax fix
- experimental arg fix
- don't enforce openblas on Apple hardware
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* bunch of small fixes
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* declare concurrent
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* - MKLDNN version upgrade to 1.0.2
- avgpool2d/maxpool2d APIs update
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* - avgpool2d_bp/maxpool2d_bp APIs update
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* - conv2d/batchnorm APIs update
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* - lrn/conv2d_bp/conv3d/conv3d_bp APIs update
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* all ops converted to MKLDNN 1.x
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* bunch of tweaks
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* namespace for platform helpers
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* make sure platform helpers aren't opimized out
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* build cpu_features on x86 systems
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* build cpu_features on x86 systems
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* more of cpu_features
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* - mkldnn removed from java
- cpu_features checks in CpuNDArrayFactory
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* F16C definition renamed
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* some mkldnn rearrangements
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* check supported instructions before doing anything
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* typo
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* missied impl
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* BUILD_PIC option
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* conv2d fix
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* avgpool3d fix
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* avgpool3d_bp fix
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* avgpool2d_bp leak fix
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* avgpool3d_bp leak fix
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* maxpool bp leaks fixed
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* printf removed
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* batchnorm fix
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* AVX warning/error polishing
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* Fix
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* More polish
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* Polish
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* remove previous MKL-DNN support layer
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* avx2 tweak
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* allow static for apple
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* exclude mkldnn in one more place
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* exclude mkldnn in one more place
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* restore OPENBLAS_PATH use
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* add runtime check for avx/avx2 support
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* convolution_auto
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* Add logic for helper argument
* minor test fix
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* few tweaks
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* few tweaks
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* skip OpTracker props for non-x86 builds
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* linux arm isn't x86 :)
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* avx-512
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* CUDA presets fix
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* BUILD_PIC
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* prefetchw for avx2
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* BUILD_PIC again
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2019-09-11 21:50:28 +03:00
a90c7dd995
[WIP] Last set of changes ( #234 )
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* mmul op instead of cublasSgemm
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* transB
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* jcpp handles
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* bitwise and/or/xor
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* bitwise and/or/xor mapping
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* cuda/cublas version check
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* add expected version
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* cuda/cublas version check in java
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* one more error check
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* build fix
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* build fix
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* build fix
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* one more fix
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* skip CUDA version check for now
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* better wording
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* few more tweaks
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* few more tweaks
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2019-09-04 14:41:08 +03:00
25e5c23eae
[WIP] Error handling ( #169 )
...
* CUDA reverse rewrite + couple of tests
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* don't throw exception on invalid pointer
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* data types validation for fastpath exec mode + 2 tests
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* data types validation for fastpath exec mode + 2 tests
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* ismax allowed dtypes tweak
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* lastErrorCode + lastErrorMessage for native exceptions handling
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* exportable ErrorReference
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* check error codes in java
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* - consume lastErrorCode
- fast_in dtype validation fix
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* - sg/cb allowed output type change
- minor logging fix for data type validation
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2019-08-26 19:57:51 +03:00
53ca9a76e8
[WIP] multi-device support ( #80 )
...
* fix pad javadoc and @see links. (#72 )
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* [WIP] More fixes (#73 )
* special tests for ConstantTadHelper/ConstantShapeHelper
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* release methods for data buffers
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* delete temporary buffer Java side
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* delete temporary buffer Java side
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* delete temporary TadPack C++/Java side (#74 )
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* Zoo model TF import test updates (#75 )
* argLine fix, update compression_gru comment
* updated comment for xception
* undid but commented argLine change
* updated xlnet comment
* copyright headers
* - new NDArray methods like()/ulike() (#77 )
- fix for depthwise_conv2d_bp + special test
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* upsampling2d fix CUDA
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* DL4J trace logging (#79 )
* MLN/CG trace logging for debugging
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* Tiny tweak
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* strided_slice_bp shape fn leak fix
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* SameDiff fixes and naming (#78 )
* remove SDVariable inplace methods
* import methods
* npe fix in OpVal
* removed SameDiff inplace ops from tests
* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything
* quick fixes
* javadoc
* SDVariable eval with placeholders
* use regex match
* better matching
* initial commit
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* initial commit
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* fix javadoc. (#76 )
* fix javadoc.
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* replace most @see with @link s.
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* 4 additional tests
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* launch context reorganization
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* LaunchContext reorganization
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* per-device LaunchContext
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* Various DL4J/ND4J fixes (#81 )
* #7954 Force refresh of UI when switching tabs on overview page
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* #8017 Concurrent modification exception (synchronize) fix
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* #8033 Don't initialize updater in middle of writing memory crash dump
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* #8208 Fix shape checks for ND4J int[] creator methods
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* #6385 #7992 Keras import naming fixes + cleanup
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* #8016 Upsampling3D - add NDHWC format support
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* ContextBuffers as separate entity
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* Refactor NativeOps.h to export C functions
* Actually export functions from NativeOps.h
* Adapt the Java wrappers in ND4J generated with JavaCPP
* Create C wrappers for some of the C++ classes currently used by ND4J
* ContextBuffers as separate entity
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* remove duplicate code in createBufferDetached. (#83 )
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* Keras model import - updater lr fix (#84 )
* Keras model import - updater lr fix
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* Keras model import - updater lr fix, cleanup
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* ContextBuffers as separate entity
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* ContextBuffers as separate entity
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* Fix functions of OpaqueVariablesSet
* thread-local buffers/affinity
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* thread safety for LaunchContext
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* more of thread safety
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* one more multi threaded test
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* SameDiff Convolution Config validation, better output methods (#82 )
* Conv Config validation & tests
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* stackOutputs utility method
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* use constructor for validation, support negative kernel sizes (infered from weights)
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* better output methods
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* move output to be with fit and evaluate
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* fixes
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* more fixes
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* refactor duplicate code from pad methods. (#86 )
* refactor duplicate code from pad methods.
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* replace switch with if.
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* Various ND4J/DL4J fixes and improvements (#87 )
* Reshape and reallocate - small fixes
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* Reshape and reallocate - small fixes
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* #6488 ElementWiseVertex broadcast support
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* Constructors and broadcast supported it Transforms.max/min
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* #8054 ElementWiseVertex now supports broadcast inputs
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* #8057 Nd4j.create overload dtype fix
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* #7551 ND4J Shape validation fix
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* [WIP] Numpy boolean import (#91 )
* numpy bool type
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* numpy bool java side
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* remove create method with unused parameter. (#89 )
* remove create method with unused parameter.
* removed more unused methods.
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* removing more unused code.
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* last removal of unused code.
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* remove createSparse methods. (#92 )
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* Various ND4J/DL4J fixes (#90 )
* Deprecate Old*Op instances
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* #8063 #8054 Broadcast exceptions + cleanup inplace ops
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* Small fix
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* Remove bad test condition
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* #7993 Fix shape function issue in crop_and_resize op
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* DL4J SameDiff lambda layer fix
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* #8029 Fix for pnorm backprop math
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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93 )
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* createUninitializedDetached refactoring. (#94 )
* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
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* createUninitializedDetached refactored.
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* cuda build fix for issues introduced by recent refactoring
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* [WIP] More of CUDA (#95 )
* initial commit
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* Implementation of hashcode cuda helper. Working edition.
* Fixed parallel test input arangements.
* Fixed tests for hashcode op.
* Fixed shape calculation for image:crop_and_resize op and test.
* NativeOps tests. Initial test suite.
* Added tests for indexReduce methods.
* Added test on execBroadcast with NDArray as dimensions.
* Added test on execBroadcastBool with NDArray as dimensions.
* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.
* Added tests for execReduce with scalar results.
* Added reduce tests for non-empty dims array.
* Added tests for reduce3.
* Added tests for execScalar.
* Added tests for execSummaryStats.
* - provide cpu/cuda code for batch_to_space
- testing it
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* - remove old test for batch_to_space (had wrong format and numbers were not checked)
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* Fixed complilation errors with test.
* Added test for execTransformFloat.
* Added test for execTransformSame.
* Added test for execTransformBool.
* Added test for execTransformStrict.
* Added tests for execScalar/execScalarBool with TADs.
* Added test for flatten.
* - provide cpu/cuda code for space_to_Batch operaion
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* Added test for concat.
* comment unnecessary stuff in s_t_b
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* Added test for specialConcat.
* Added tests for memcpy/set routines.
* Fixed pullRow cuda test.
* Added pullRow test.
* Added average test.
* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)
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* - debugging and fixing cuda tests in JavaInteropTests file
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* - correct some tests
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* Added test for shuffle.
* Fixed ops declarations.
* Restored omp and added shuffle test.
* Added convertTypes test.
* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.
* Added sort tests.
* Added tests for execCustomOp.
* - further debuging and fixing tests terminated with crash
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* Added tests for calculateOutputShapes.
* Addded Benchmarks test.
* Commented benchmark tests.
* change assertion
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* Added tests for apply_sgd op. Added cpu helper for that op.
* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.
* Added test for assign broadcastable.
* Added tests for assign_bp op.
* Added tests for axpy op.
* - assign/execScalar/execTransformAny signature change
- minor test fix
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* Fixed axpy op.
* meh
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* - fix tests for nativeOps::concat
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* sequential transform/scalar
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* allow nested parallelism
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* assign_bp leak fix
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* block setRNG fix
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* enable parallelism by default
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* enable nested parallelism by default
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* Added cuda implementation for row_count helper.
* Added implementation for tnse gains op helper.
* - take into account possible situations when input arrays are empty in reduce_ cuda stuff
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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.
* Added kernel for tsne/symmetrized op heleper.
* Implementation of tsne/symmetrized op cuda helper. Working edition.
* Eliminated waste printfs.
* Added test for broadcastgradientargs op.
* host-only fallback for empty reduce float
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* - some tests fixes
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* - correct the rest of reduce_ stuff
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* - further correction of reduce_ stuff
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* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
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* - provide cuda kernel for gatherND operation
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* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
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* minor tests tweaks
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* - further correction of cuda stuff
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* Implementatation of cbow op helper with cuda kernels. Working edition.
* Skip random testing for cudablas case.
* lstmBlockCell context fix
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* Added tests for ELU and ELU_BP ops.
* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.
* Added tests for neq_scalar.
* Added test for noop.
* - further work on clipbynorm_bp
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* - get rid of concat op call, use instead direct concat helper call
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* lstmBlockCell context fix
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* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
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* operator * result shape fix
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* - correct typo in lstmCell
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* few tests fixed
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* CUDA inverse broadcast bool fix
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* disable MMAP test for CUDA
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* BooleanOp syncToDevice
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* meh
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* additional data types for im2col/col2im
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* Added test for firas_sparse op.
* one more RandomBuffer test excluded
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* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
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* mmulDot tests fixed
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* more tests fixed
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* Implemented floordiv_bp op and tests.
* Fixed scalar case with cuda implementation for bds.
* - work on cuda kernel for clip_by_norm backprop op is completed
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* Eliminate cbow crach.
* more tests fixed
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* more tests fixed
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* Eliminated abortion with batched nlp test.
* more tests fixed
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* Fixed shared flag initializing.
* disabled bunch of cpu workspaces tests
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* scalar operators fix: missing registerSpecialUse call
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* Fixed logdet for cuda and tests.
* - correct clipBynorm_bp
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
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* build fix
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* exclude two methods for JNI
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* exclude two methods for JNI
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* exclude two methods for JNI (#97 )
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* temporary stack fix
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* round robin affinity test
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* get rid of legacy CudaContext methods
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* get rid of legacy ContextPool classes/methods
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* one legacy test removed
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* few more fields rearranged
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* OpaqueLaunchContext
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* OpaqueLaunchContext++
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* more of OpaqueLaunchContext methods
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* LaunchContext -> CudaContext
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* AffinityManger changes
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* AffinityManger changes
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* cusolver handles
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* typo
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* cusolver method
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* cusolver handle propagated
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* blas/solver handles
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* one more test
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* legacy concat implementations replaced with new CustomOp
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* one more test
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* concat now uses way more blocks
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* print
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* no more triple template mmul
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* bunch of kernels have dtypes reconsidered
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* bunch of kernels have dtypes reconsidered
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* bitonic sort reorganized
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* bunch of cpu stuff removed from cuda scope
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* bunch of cpu stuff removed from cuda scope
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* type conversions moved to generic impl
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* cpu data types pass
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* non_max_suppression
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* sortByValue fix
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* ignore all mixed datatype tests for mmul
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* special handling of OpProfiler exceptions
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* - one failing concat test in cpp
- Nd4j.tile now uses op internally
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* get back dtype exception for legacy arrays deserialization
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2019-08-14 16:52:34 +03:00
065b34c7cb
[WIP] Numpy boolean import ( #91 )
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* numpy bool type
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* numpy bool java side
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2019-08-05 11:25:48 +10:00
8d1fe8b1b3
Fix functions of OpaqueVariablesSet
2019-08-05 11:24:20 +10:00
526b782e51
Create C wrappers for some of the C++ classes currently used by ND4J
2019-08-05 11:22:59 +10:00
8881bfe7aa
Adapt the Java wrappers in ND4J generated with JavaCPP
2019-08-05 11:22:59 +10:00
b9708be5db
delete temporary TadPack C++/Java side ( #74 )
...
Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:11:22 +10:00
59a006ce29
[WIP] More fixes ( #73 )
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* special tests for ConstantTadHelper/ConstantShapeHelper
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* release methods for data buffers
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* delete temporary buffer Java side
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* delete temporary buffer Java side
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2019-08-05 11:11:22 +10:00
9cf28ea6c9
[WIP] CUDA tweaks ( #60 )
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* special cpu concat
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* special concat fix
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* OpProfiler tweak for absent host pointers
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* minor test tweak to see orders
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* CUDA broadcasting diff orders fix
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* faster iterations
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* OldSoftMax/OldLogSoftMax gone
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* RandomLauncher tweaks
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* additional check int randomtests
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* skip prepare/register action for empty arrays
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* npz float16 fix
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* empty reduction cuda fixes
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* ShapeBufferTests tweaks
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2019-07-20 23:06:48 +10:00
cb6654bebb
Add libnd4j benchmarks ( #3 )
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This PR adds 2 libnd4j benchmarking suits
2019-07-20 22:54:44 +10:00
15e7984392
Small fixes ( #46 )
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* - fix for eclipse/#7959
* createFromNpy scalar fix
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* remove spam
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* rng custom ops tests
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* Numpy headers validation + tests
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* fix for scalar string flat serde
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* Where empty shape test
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2019-07-20 22:20:14 +10:00
d854e28b34
System info export for debugging and bug reporting ( #34 )
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* System info export for debugging and bug reporting
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* class name fix
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* add version information, pointer memory info
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* add nvidia-smi and nvcc info
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* line cleanup
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* nvidia-smi run works
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* add oshi dependency
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* use OS info, add workspaces info
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* use ServiceLoader to load GPU information
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* register service
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* moved service out of NativeOpsHolder (private constructor)
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* added newline
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* added license
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* and one more
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* copyright update
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* fixes
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* removed unused imports
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* removed more unused imports
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* close streams
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* and another one
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* use method
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* one more copyright
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* remove double license
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* moved test to correct package
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* classpath update
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* classpath for java >8 fix
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2019-07-20 22:18:24 +10:00
68ea5f3688
Dev branch merge: dev_20190606 ( #7904 )
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* correct logsoftmax looss (#2 )
* Small SameDiff listener fix (#4 )
* Various fixes (#6 )
* #7839 Fix for asXMatrix and tests
* #7866 EmbeddingSequenceLayer dtype fix + test
* #7856 SameDiff save/load stream methods
* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration
* EvaluationBinary 3d/4d
* More evaluation 3d/4d tests
* #7847 Evaluation empty checks
* Small test ifx
* #7848 Fix median edge case
* Improve DL4J samediff layer tests
* [WIP] FastText wrapper implemented (#8 )
* FastText implemented
* Some fixes
* Fix shapes for wordsNearest
* Validation of input vectors
* Fixes
* Fixed test
* Thread tagged
* Some tweaks
* setContextClassLoader for DeallocatorServiceThread
* Numpy format tests (#1 )
* Various fixes (#11 )
* #7852 SameDiff gather fix
* #7892 SameDiff placeholder to constant conversion
* #7890 validate input rank for MLN/CG init methods
* Fix broken permute shape calculation
* Permute and gather fixes
* Tests
* #7850 LogSumExp fix + test
* Handful of test fixes
* Empty arrays with non-scalar shapes (#10 )
* minor rearrangements for lambdas
* empty tensors with non-scalar shapes
* numpy empty tensors with non-scalar shapes
* few more empty tweaks
* Small fixes
* conv3d signature update
* micro fix in batchnorm mkldnn
* Import fixes
* Fix
* MKL-DNN update
* Small fill fix
* fill with empty input + test
* Fixes
* Small error improvement
* Fix
* one special test
* couple of fixes for lstm
* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone
* Fixes
* FP16
* Unsigned
* BFloat16
* Fill op - empty tweaks
* - couple of fixes for empty arrays construction
- stack updated
* strided slice fix
* one transform test
* provide method for reducing shapeInfo in case of input array is empty
* Fixed reduceAlongDimensions to use empty input properly.
* couple of broadcast tests
* couple of tests broadcast tests + tweak to make them pass
* add check of non-empty to methods producing sub-arrays
* Fixed reshapeC with zeros in shape.
* complete empty check in reduce_... legacy ops
* Concat and cumsum/prod
* Tweak to empty shape inference on import
* add empty check to the rest of reduce legacy ops
* one more test
* correct typo in evalReduceShapeInfoEmpty
* Added tests for reduce_* ops to tests with zero shapes.
* few more tests for empty reductions
* Fixed strided_slice op with empty case and tests.
* one more empty reduction test
* Fixed strided_slice test.
* add empty check to NDArray::reshapei
* infOrMax
* empty min/max with infinity tests
* made unstack working correctly with empty arrays
* few IndexReduce tests + tweaks for empty shapes
* add test for empty concat
* few tests fixed
* Validation fix for reductions on empty shapes
* Reverse fix
* Reduction shape calc fixes
* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs
* Range fix
* - NDArray constructor updated for scalars/empty arrays
- few tests fixed
* More fixes
* Empty creator fixes
* concat fix
* concat fix
* TF import tests: allow 'both all NaN' and 'both all inf' to pass
* Slice, zero fraction, and reshape fixes
* transpose, gather
* Zero fraction
* scalar cast fix
* Empty reduction axis support
* few more tests fixed
* Fixed input checks conforming with TF for concat op and tests.
* few tests fixed
* matmul scalar shape fix
* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.
* broadcast bool fix
* few more tests
* few more tests
* correct evalReduceShapeInfoEmpty
* argmax/argmin + tests
* one more empty edge case + one more test
* argmax/argmin/realdiv_bp tweaks
* empty reshape test + fix
* Helper fixes
* Small fixes
* Gather test fix
* Gather test fix
* Small fixes
* reduce scalar zero values
* scalar mean workaround
* Remove debug code
* along dim mean workaround
* one more test
* - equalsTo() tweak for empty arrays
- one more test
* broadcast tweaks
2019-06-15 21:34:34 +10:00
b5f0ec072f
Eclipse Migration Initial Commit
2019-06-06 15:21:15 +03:00
Alex Black
raver119
Shams Ul Azeem
Yurii Shyrma
Alexander Stoyakin
Robert Altena
Samuel Audet
Ryan Nett
skymindops