60f103fb03
[WIP] Few more pre-release fixes ( #461 )
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* error code check in CudaMemoryManager
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* clear
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* clear model before exiting
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* MultiLayerNetwork/ComputationGraph.close() [WIP] (#460 )
* MultiLayerNetwork/ComputationGraph.close()
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* Copyright header
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* Fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* - fix for handling release of nested DataBuffers
- couple of additional tests for released DataBuffers
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* PW test: increase number of epochs slightly
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Co-authored-by: Alex Black <blacka101@gmail.com>
2020-05-13 16:00:54 +03:00
c396fcb960
More pre-release fixes ( #456 )
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* - numPrefixBlocks fix for threshold_encoding
- temparrays pointers fixed
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* auto configuration of memory workspace for gradients sharing
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* limit sparse encoding message size
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* one more workspace test
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* one more CUDA-specific test
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* one more CUDA-specific workspace test
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* one more CUDA-specific workspace test
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* one more CUDA-specific workspace test
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* add separate host/device reset for circular workspace mode
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* new PW builder method for encoder memory amount
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* "inplace" execution for threshold encoding
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2020-05-13 08:12:07 +03:00
872a511042
Update docs links to new website URLs [WIP] ( #452 )
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* Update docs links to new website URLs
Signed-off-by: Alex Black <blacka101@gmail.com>
* One more link
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-05-12 13:02:19 +10:00
0613485654
compression ops ( #436 )
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* Added declarations for decode/encode_bitmap ops.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added implementation for bitmap encoding/decoding ops.
Signed-off-by: shugeo <sgazeos@gmail.com>
* 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 )
...
* Refactor nd4j-common: org.nd4j.* -> org.nd4j.common.*
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix CUDA (missed nd4j-common package refactoring changes)
Signed-off-by: Alex Black <blacka101@gmail.com>
* 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
Signed-off-by: Alex Black <blacka101@gmail.com>
* 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}
Signed-off-by: Alex Black <blacka101@gmail.com>
* 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
ccb216a3ed
Fixing issues from Sonar report ( #391 )
...
* Fixing issues from Sonar report
* Proper logger of exceptions
* Coding style fixes
* Use dup parameter
* Cleanup, minor issues
* Cuda compilation fixed and some minor fixes
2020-04-23 08:36:49 +10:00
a25bb6a11c
Unit/integration test split + test speedup ( #166 )
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* Add maven profile + base tests methods for integration tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch from system property to environment variable; seems more reliable in intellij
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add nd4j-common-tests module, and common base test; cleanup
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* Ensure all ND4J tests extend BaseND4JTest
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* Test spam reduction, import fix
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* Add test logging to nd4j-aeron
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* Fix unintended change
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* Reduce sprint test log spam
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* More test spam cleanup
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* Significantly speed up TSNE tests
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* W2V iterator test unit/integration split
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* More NLP test speedups
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* Avoid debug/verbose mode leaking between tests
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* test tweak
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* Arbiter extends base DL4J test
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* Arbiter test speedup
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* nlp-uima test speedup
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* More test speedups
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* Fix ND4J base test
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* Few small ND4J test speed improvements
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* DL4J tests speedup
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* More tweaks
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* Even more test speedups
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* More tweaks
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* Various test fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* More test fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-aeron test profile fix for CUDA
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-01-22 22:27:01 +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
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
5e07998e59
Add support for CUDA 10.2 ( #89 )
2019-11-29 16:31:03 +11:00
6f514e9431
DL4J UI: Migrate from Play to Vertx ( #68 )
...
* Vertx transition initial steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Assets serving works
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* Next steps
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* Add other pages
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* Add remaining modules
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* Delete deeplearning4j-play module
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* SD UI module
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* Main UI works
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* Multi-session UI fixed
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* TSNE fixed
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* Polish, fixes, re-add CLI launch option
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix remote UI functionality
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Final tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove Scala version suffix from deeplearning4j-ui
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* Update Arbiter UI to vertx
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* Missing version tag
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* Remove (now unneeded) scala from arbiter UI
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* Move vertx version to parent pom
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* Switch template loading from classpath to a more reliable mechanism
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small fix for I18N message loading
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch to shaded jackson for UI module JSON conversion
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* Small test tweaks and copyright header fix
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* pom file copyright headers
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* plugins -> pliginManagement for java 8 modules
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* plugins -> pliginManagement for java 8 modules
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2019-11-22 23:50:34 +11:00
dcc2baa676
Version upgrades ( #199 )
...
* DataVec fixes for Jackson version upgrade
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J jackson updates + databind version 2.9.9.3
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Shade snakeyaml along with jackson
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* Version fix
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* Switch DataVec legacy JSON format handling to mixins
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* Next set of fixes
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* Cleanup for legacy JSON mapping
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* Upgrade commons compress to 1.18; small test fix
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* New Jackson backward compatibility for DL4J - Round 1
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* New Jackson backward compatibility for DL4J - Round 2
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* More fixes, all but legacy custom passing
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* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format
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* Legacy deserialization cleanup
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* Small amount of polish - legacy JSON
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* Upgrade guava version
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* IEvaluation legacy format deserialization fix
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* Upgrade play version to 2.7.3
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* Update nd4j-parameter-server-status to new Play API
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* Update DL4J UI for new play version
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* More play framework updates
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* Small fixes
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* Remove Spark 1/2 adapter code from DataVec
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* datavec-spark dependency cleanup
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* DL4J spark updates, pt 1
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* DL4J spark updates, pt 2
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* DL4J spark updates, pt 3
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* DL4J spark updates, pt 4
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* Test fix
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* Another fix
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* Breeze upgrade, dependency cleanup
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* Add Scala 2.12 version to pom.xml
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* change-scala-versions.sh - add scala 2.12, remove 2.10
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* Move Spark version properties to parent pom (now that only one spark version is supported)
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* DataVec Play fixes
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* datavec play dependency fixes
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* Clean up old spark/jackson stuff
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* Cleanup jackson unused dependencies
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* Dropping redundant dependency
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* Removed scalaxy dependency
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* DataVec fixes for Jackson version upgrade
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* DL4J jackson updates + databind version 2.9.9.3
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* Shade snakeyaml along with jackson
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* Version fix
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* Switch DataVec legacy JSON format handling to mixins
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* Next set of fixes
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* Cleanup for legacy JSON mapping
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* Upgrade commons compress to 1.18; small test fix
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* New Jackson backward compatibility for DL4J - Round 1
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* New Jackson backward compatibility for DL4J - Round 2
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* More fixes, all but legacy custom passing
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* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format
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* Legacy deserialization cleanup
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* Small amount of polish - legacy JSON
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* Upgrade guava version
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* IEvaluation legacy format deserialization fix
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* Upgrade play version to 2.7.3
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* Update nd4j-parameter-server-status to new Play API
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* Update DL4J UI for new play version
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* More play framework updates
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* Small fixes
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* Remove Spark 1/2 adapter code from DataVec
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* datavec-spark dependency cleanup
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* DL4J spark updates, pt 1
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* DL4J spark updates, pt 2
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* DL4J spark updates, pt 3
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* DL4J spark updates, pt 4
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* Test fix
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* Another fix
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* Breeze upgrade, dependency cleanup
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* Add Scala 2.12 version to pom.xml
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* change-scala-versions.sh - add scala 2.12, remove 2.10
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* Move Spark version properties to parent pom (now that only one spark version is supported)
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* DataVec Play fixes
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* datavec play dependency fixes
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* Clean up old spark/jackson stuff
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* Cleanup jackson unused dependencies
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* Add shaded guava
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* Dropping redundant dependency
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* Removed scalaxy dependency
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* Ensure not possible to import pre-shaded classes, and remove direct guava dependencies in favor of shaded
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* ND4J Shaded guava import fixes
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* DataVec and DL4J guava shading
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* Arbiter, RL4J fixes
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* Build fixed
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* Fix dependency
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* Fix bad merge
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* Jackson shading fixes
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* Set play secret, datavec-spark-inference-server
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* Fix for datavec-spark-inference-server
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* Arbiter fixes
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* Arbiter fixes
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* Small test fix
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2019-08-30 14:35:27 +10:00
2f3d7330ce
[WIP] build fix ( #124 )
...
* AffinityManager changes
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* build fixes
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2019-08-16 08:14:18 +03:00
ec847e034b
[WIP] Remote inference ( #96 )
...
* fix pad javadoc and @see links. (#72 )
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* [WIP] More fixes (#73 )
* special tests for ConstantTadHelper/ConstantShapeHelper
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* release methods for data buffers
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* delete temporary buffer Java side
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* delete temporary buffer Java side
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* delete temporary TadPack C++/Java side (#74 )
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* Zoo model TF import test updates (#75 )
* argLine fix, update compression_gru comment
* updated comment for xception
* undid but commented argLine change
* updated xlnet comment
* copyright headers
* - new NDArray methods like()/ulike() (#77 )
- fix for depthwise_conv2d_bp + special test
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* upsampling2d fix CUDA
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* DL4J trace logging (#79 )
* MLN/CG trace logging for debugging
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* Tiny tweak
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* strided_slice_bp shape fn leak fix
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* SameDiff fixes and naming (#78 )
* remove SDVariable inplace methods
* import methods
* npe fix in OpVal
* removed SameDiff inplace ops from tests
* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything
* quick fixes
* javadoc
* SDVariable eval with placeholders
* use regex match
* better matching
* fix javadoc. (#76 )
* fix javadoc.
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* replace most @see with @link s.
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* 4 additional tests
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* Various DL4J/ND4J fixes (#81 )
* #7954 Force refresh of UI when switching tabs on overview page
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* #8017 Concurrent modification exception (synchronize) fix
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* #8033 Don't initialize updater in middle of writing memory crash dump
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* #8208 Fix shape checks for ND4J int[] creator methods
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* #6385 #7992 Keras import naming fixes + cleanup
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* #8016 Upsampling3D - add NDHWC format support
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* Refactor NativeOps.h to export C functions
* Actually export functions from NativeOps.h
* Adapt the Java wrappers in ND4J generated with JavaCPP
* Create C wrappers for some of the C++ classes currently used by ND4J
* remove duplicate code in createBufferDetached. (#83 )
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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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* Fix functions of OpaqueVariablesSet
* SameDiff Convolution Config validation, better output methods (#82 )
* Conv Config validation & tests
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* stackOutputs utility method
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* use constructor for validation, support negative kernel sizes (infered from weights)
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* better output methods
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* move output to be with fit and evaluate
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* fixes
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* more fixes
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* refactor duplicate code from pad methods. (#86 )
* refactor duplicate code from pad methods.
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* replace switch with if.
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* Various ND4J/DL4J fixes and improvements (#87 )
* Reshape and reallocate - small fixes
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* Reshape and reallocate - small fixes
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* #6488 ElementWiseVertex broadcast support
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* Constructors and broadcast supported it Transforms.max/min
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* #8054 ElementWiseVertex now supports broadcast inputs
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* #8057 Nd4j.create overload dtype fix
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* #7551 ND4J Shape validation fix
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* [WIP] Numpy boolean import (#91 )
* numpy bool type
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* numpy bool java side
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* remove create method with unused parameter. (#89 )
* remove create method with unused parameter.
* removed more unused methods.
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* removing more unused code.
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* last removal of unused code.
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* remove createSparse methods. (#92 )
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* Various ND4J/DL4J fixes (#90 )
* Deprecate Old*Op instances
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* #8063 #8054 Broadcast exceptions + cleanup inplace ops
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* Small fix
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* Remove bad test condition
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* #7993 Fix shape function issue in crop_and_resize op
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* DL4J SameDiff lambda layer fix
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* #8029 Fix for pnorm backprop math
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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93 )
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* createUninitializedDetached refactoring. (#94 )
* wip
* update interface, add null implementations.
* Breaking one test in a weird way.
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* createUninitializedDetached refactored.
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* cuda build fix for issues introduced by recent refactoring
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* initial commit
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* deps tweaks
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* initial prototype
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* modules reorganized
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* gprc module moved to nd4j-remote as well
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* gprc module moved to nd4j-remote as well
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* serving prototype
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* serving prototype
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* serving prototype
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* serving prototype
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* [WIP] More of CUDA (#95 )
* initial commit
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* Implementation of hashcode cuda helper. Working edition.
* Fixed parallel test input arangements.
* Fixed tests for hashcode op.
* Fixed shape calculation for image:crop_and_resize op and test.
* NativeOps tests. Initial test suite.
* Added tests for indexReduce methods.
* Added test on execBroadcast with NDArray as dimensions.
* Added test on execBroadcastBool with NDArray as dimensions.
* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.
* Added tests for execReduce with scalar results.
* Added reduce tests for non-empty dims array.
* Added tests for reduce3.
* Added tests for execScalar.
* Added tests for execSummaryStats.
* - provide cpu/cuda code for batch_to_space
- testing it
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* - remove old test for batch_to_space (had wrong format and numbers were not checked)
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* Fixed complilation errors with test.
* Added test for execTransformFloat.
* Added test for execTransformSame.
* Added test for execTransformBool.
* Added test for execTransformStrict.
* Added tests for execScalar/execScalarBool with TADs.
* Added test for flatten.
* - provide cpu/cuda code for space_to_Batch operaion
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* Added test for concat.
* comment unnecessary stuff in s_t_b
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* Added test for specialConcat.
* Added tests for memcpy/set routines.
* Fixed pullRow cuda test.
* Added pullRow test.
* Added average test.
* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)
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* - debugging and fixing cuda tests in JavaInteropTests file
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* - correct some tests
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* Added test for shuffle.
* Fixed ops declarations.
* Restored omp and added shuffle test.
* Added convertTypes test.
* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.
* Added sort tests.
* Added tests for execCustomOp.
* - further debuging and fixing tests terminated with crash
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* Added tests for calculateOutputShapes.
* Addded Benchmarks test.
* Commented benchmark tests.
* change assertion
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* Added tests for apply_sgd op. Added cpu helper for that op.
* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.
* Added test for assign broadcastable.
* Added tests for assign_bp op.
* Added tests for axpy op.
* - assign/execScalar/execTransformAny signature change
- minor test fix
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* Fixed axpy op.
* meh
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* - fix tests for nativeOps::concat
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* sequential transform/scalar
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* allow nested parallelism
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* assign_bp leak fix
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* block setRNG fix
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* enable parallelism by default
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* enable nested parallelism by default
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* Added cuda implementation for row_count helper.
* Added implementation for tnse gains op helper.
* - take into account possible situations when input arrays are empty in reduce_ cuda stuff
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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.
* Added kernel for tsne/symmetrized op heleper.
* Implementation of tsne/symmetrized op cuda helper. Working edition.
* Eliminated waste printfs.
* Added test for broadcastgradientargs op.
* host-only fallback for empty reduce float
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* - some tests fixes
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* - correct the rest of reduce_ stuff
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* - further correction of reduce_ stuff
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* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
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* - provide cuda kernel for gatherND operation
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* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
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* minor tests tweaks
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* - further correction of cuda stuff
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* Implementatation of cbow op helper with cuda kernels. Working edition.
* Skip random testing for cudablas case.
* lstmBlockCell context fix
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* Added tests for ELU and ELU_BP ops.
* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.
* Added tests for neq_scalar.
* Added test for noop.
* - further work on clipbynorm_bp
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* - get rid of concat op call, use instead direct concat helper call
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* lstmBlockCell context fix
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* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
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* operator * result shape fix
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* - correct typo in lstmCell
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* few tests fixed
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* CUDA inverse broadcast bool fix
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* disable MMAP test for CUDA
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* BooleanOp syncToDevice
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* meh
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* additional data types for im2col/col2im
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* Added test for firas_sparse op.
* one more RandomBuffer test excluded
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* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
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* mmulDot tests fixed
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* more tests fixed
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* Implemented floordiv_bp op and tests.
* Fixed scalar case with cuda implementation for bds.
* - work on cuda kernel for clip_by_norm backprop op is completed
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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
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* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
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* build fix
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* exclude two methods for JNI
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* exclude two methods for JNI
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* exclude two methods for JNI (#97 )
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* temporary stack fix
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* downgrade jetty to latest stable version
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* test and profiles
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* Servlet skeleton
* one test case
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* one test case
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* compilation fix
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* draft improvements
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* draft improvements
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* proof of concept works
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* proof of concept works
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* Servlet
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* logging + simple timing
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* Content type fixed
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* Profile required
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* Servlet tests
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* Post test
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* Tests added:
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* Minor tweaks
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* Constants used
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* Check content type
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* Some tests
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* Errors checking
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* Constraints and tests
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* Minor tweaks
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* Dl4j servlet skeleton
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* Moving class to dl4j
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* Builder extended
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* initial dl4j commit
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* unirest version change
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* temp fallback
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* Reverted unirest version
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* Reverted unirest version
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* revert back unirest version change
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* revert unirest change
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* some additional checks in builder
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* few more fields
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* Test added
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* lombok
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* Tests added
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* deps
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* profiles re-introduced
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* Added tests
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* Model servlet
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* builders
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* builders
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* Servlet skeleton
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* Servlet tests
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* builders
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* get rid of old class
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* use PI for inference
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* superbuilder
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* get back builder
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* Servlet builder
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* PI setup
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* get rid of superbuilder
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* SameDiffServlet inheritance constructor
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* dl4jservlet attached to samediffservlet
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* builder types fix
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* dummy model
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* single out
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* loss
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* Tests added
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* missed builder type
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* working serving example
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* sd model fix
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* fix unirest version
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* More tests
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* Tests added:
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* Minor tests fixes
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* Tests fixed
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* Build fixed
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* Test added
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* Tests fixed
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* Ser/deser added
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* one more unirest fix
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* Custom serializers
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* Tests disabled
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* revert back unirest version change
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* update
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* some default fields values
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* some comments/javadoc
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* - move serde impls to client module
- get rid of INDArray serde for now
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* jackson-based serde for float[], double[] and String
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* more of basic ser/de + tests
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* minor api changes
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* change imports/signatures
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* Optional parralel inference
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* Insert pause between tests as workaround for unavailable port issue
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* few unused imports removed
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* Models usage
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* Models usage
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* - InputAdapter + OutputAdapter = InferenceAdapter
- JsonModelServer now allows separate configuration of InputAdapter and OutputAdapter
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* unused import
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* input adapter..
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* minor signature change
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* few more signatures updated
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* input/output adapter
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* Tests added
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* javadocs added
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* Test fixed
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* minor polishing
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* more of javadoc
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* signature change
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2019-08-14 12:11:09 +03:00
b5f0ec072f
Eclipse Migration Initial Commit
2019-06-06 15:21:15 +03:00
raver119
Alex Black
Alexander Stoyakin
Samuel Audet
skymindops