Commit Graph

129 Commits (0f581e74e394652866c2ffce28e0a83f435ea079)

Author SHA1 Message Date
Alex Black 483c3d7b8c
Assorted SameDiff/DL4J fixes (#279)
* #8565 Normalizer toString/hashcode

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8731 ImagePreProcessingScaler lables/segmentation fix

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8691 Fix SameDiffLayer/Vertx finetuning and parameter setting support

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8663 DL4J embedding layer weight init - don't depend on vocab size

Signed-off-by: Alex Black <blacka101@gmail.com>

* EmbeddingLayer test tweak

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-02 16:15:49 +11:00
Alexander Stoyakin 353f901c7c
[WIP] Handle missing functionality for binary models (#269)
* Handle missing functionality for binary models

* Exception text fixed
2020-02-27 12:00:15 +11:00
Alex Black c8882cbfa5
Test fixes + cleanup (#245)
* Test spam reduction

Signed-off-by: Alex Black <blacka101@gmail.com>

* Arbiter bad import fixes

Signed-off-by: Alex Black <blacka101@gmail.com>

* Small spark test tweak

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter test log spam reduction

Signed-off-by: Alex Black <blacka101@gmail.com>

* More test spam reduction

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-02-18 10:29:06 +11:00
Shams Ul Azeem f165160edb
MultiLayerConfiguration should be ComputationGraphConfiguration for validating a cg model conf (#240) 2020-02-14 12:06:00 +11:00
Andrii T c34790f932
Copied and pasted RegressionTest100b4.java to RegressionTest100b6.jav… (#215)
* Copied and pasted RegressionTest100b4.java to RegressionTest100b6.java with renamed b4->b6

* assertEquals > assertTrue for half dtype

Signed-off-by: atuzhykov <andrewtuzhukov@gmail.com>
2020-02-14 11:53:35 +11:00
Alexander Stoyakin 8c0e378ec3
Improving SameDiff tests coverage (#227)
* Gradients tests added

* Fix for Standard deviation serialization + test

Signed-off-by: Alex Black <blacka101@gmail.com>

* More fixes

Signed-off-by: Alex Black <blacka101@gmail.com>

* Test fixed

* Spark config driver host config for CI

Signed-off-by: Alex Black <blacka101@gmail.com>

* Op validation timeout increase

Signed-off-by: Alex Black <blacka101@gmail.com>

* Gradient check - fix for low probability test failure due to randomly all 0s mask

Signed-off-by: AlexDBlack <blacka101@gmail.com>

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-02-13 10:29:08 +11:00
Eduardo Gonzalez ebeeb8bc48 Fix BERT word piece tokenizer stack overflow error (#205)
* Change the regular expression for the Bert tokenizer.

The previous regular expression causes StackOverflowErrors
if given a document with a large amount of whitespace. I
believe that the one I've provided is an equivalent.

* Add test for new BertWordPieceTokenizer RegEx.

This test should cause a StackOverflowError with the previous version.

* Fix assert off by one.
2020-02-10 14:33:04 +11:00
Alex Black 937a27ae27
Small number of test fixes (#220)
* Workaround for apache solr RNG algorithm enforcement in tests

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DeepWalk gradient check spam reduction

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* Timeout increase

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-02-07 18:38:50 +11:00
Alex Black ce6848c9fe
Test fixes (#218)
* Test speedups / integration test run only for CUDA - NLP

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* nlp-uima CUDA slow tests

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* Spark CUDA timeout fixes

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2020-02-07 16:25:02 +11:00
Alex Black 569a46f87d
Fixes (#213)
* Increase timeouts for 2 tests occasionally failing on CI

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Explicitly set character encoding via argline for maven surefire tests

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* CUDA gradient check timeout fix + simple rnn masking fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-02-05 17:07:36 +11:00
raver119 5d28e6143d
OpContext handling (#214)
* 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
Alex Black 57d5eb473b
Fixes for global pooling + masking with different mask datatypes (#212)
* Fixes for global pooling + masking with different mask datatypes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Global pooling backprop dtype fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2020-02-04 15:38:06 +11:00
Alex Black 0756e3fe70
Small fixes. (#206)
* Logging format tweaks for file logging

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Min abs error tweak for Util layer gradient checks

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8648 Fix SameDiff NPE instead of error for missing placeholders

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Test runtime reduction

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2020-02-01 18:19:36 +11:00
raver119 7ef0ef907e
Packages fix (#193)
* 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
Alex Black 95db34e389
Eclipse -> Konduit update (#188)
* Update Japanese translation for Deeplearning4J UI (#8525)

Signed-off-by: k-tamura <ktamura.biz.80@gmail.com>

* RL4J: Remove processing done on observations in Policy & Async (#8471)

* Removed processing from Policy.play() and fixed missing resets

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Adjusted unit test to check if DQNs have been reset

Signed-off-by: unknown <aboulang2002@yahoo.com>

* Fixed a couple of problems, added and updated unit tests

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* Removed processing from AsyncThreadDiscrete

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* Fixed a few problems

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* python version bump

* increase

* RL4J: Replace gym-java-client with JavaCPP (#8595)

* RL4J: Replace gym-java-client with JavaCPP

Signed-off-by: Samuel Audet <samuel.audet@gmail.com>

Co-authored-by: Kohei Tamura <ktamura.biz.80@gmail.com>
Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com>
Co-authored-by: Max Pumperla <max.pumperla@googlemail.com>
Co-authored-by: Samuel Audet <samuel.audet@gmail.com>
2020-01-27 16:03:00 +11:00
Alexander Stoyakin 4db28a9300 Cleanup of multiple projects (#175)
* Cleanup modules

* Moving subprojects to nd4j-api

* Project cleanup

* Dropped AWS sub-project

* dl4j-util moved to core

* dl4j-perf moved to core

* Tests coverage

* Revert "Moving subprojects to nd4j-api"

This reverts commit bc6eb573c6b60c407ade47172c5d204725077e6b.

* Moved nd4j-buffer and nd4j-context to nd4j-api

* Rolled back change

* Revert "Project cleanup"

This reverts commit 64ac7f369b2d968f7be437718034f093fc886ffc.

* Datavec cleaned up

* Revert "Moved nd4j-buffer and nd4j-context to nd4j-api"

This reverts commit 75f4e8da80d2551e44e1251dd6c5923289fff8e1.

# Conflicts:
#	nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/ReductionBpOpValidation.java

* Resolve conflict

* Compilation fixed.

* nd4j-context and nd4j-buffer moved to nd4j-api

* Fixed TF mapping for mmul

* Fix for dl4j-cuda tests

Signed-off-by: Alex Black <blacka101@gmail.com>

* Move last few tests from deeplearning4j-nn to -core

Signed-off-by: Alex Black <blacka101@gmail.com>

* Remove incorrect TF import mapping for TensorMmul op

Signed-off-by: Alex Black <blacka101@gmail.com>

* Cleaned TF mapping

* Fix path for test results on windows

* Remove old dependency

Signed-off-by: Alex Black <blacka101@gmail.com>

* One more attempt to fix path for test results on windows

* fixup! One more attempt to fix path for test results on windows

* fixup! One more attempt to fix path for test results on windows

Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
2020-01-24 22:35:00 +03:00
Alex Black a25bb6a11c
Unit/integration test split + test speedup (#166)
* 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

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Ensure all ND4J tests extend BaseND4JTest

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* Test spam reduction, import fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* 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

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix ND4J base test

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Few small ND4J test speed improvements

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J tests speedup

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* More tweaks

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Even more test speedups

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More tweaks

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* 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
raver119 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
Alex Black 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
Alexander Stoyakin 010744ef9c Lu wrapper and tests fixes (#144)
* Tests fixed

* Lu added

* Test fixed

* Default timeout

* Tests timeouts fixed.

* TF import fix

* Timeouts added

* Timeout fixed.

* Test corrected

* rgb and yiq conversion ops added

* Converter ops added

* Header

* Yuv converters

* API added

* Empty test for matmul

* Explanation

* skip gemm/gemv on empty inputs

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* Test added

* Correct test

* one more empty pass-through for mmul

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* Cleanup

* Test added

* Test fixed

* Added missing mapping

* Added missing mapping

Co-authored-by: raver119 <raver119@gmail.com>
2019-12-30 15:06:12 +03:00
Alex Black ce02b6fae7
Small fixes (#140)
* Allow scalar op result array auto allocation

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Don't swallow underlying exception for calculateOutputShape execution failures

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* Ignore for known keras failure

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2019-12-21 17:00:46 +11:00
Alexander Stoyakin f5068f3980 Added missing Java ops wrappers (#122)
* 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
raver119 972fae60dc
Update master (#8511)
* cleaned up bert iterator tests (#110)

Signed-off-by: eraly <susan.eraly@gmail.com>

* Various pre-release fixes (#111)

* Various fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix default dtypes for MaxPoolWithArgmax

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* Small pre-release tweak (#112)

* Log UI address on launch as in previous Play-based UI

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* Logging level tweak for UI

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* http not https

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* datavec python ensure host (#113)

* ensure host

* one more host ensure

* info->debug

* [WIP] reverse improvements (#115)

* initial commit

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* reverse draft

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* reverse kernel

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* reverse kernel

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* 2 micro fixes

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* Shugeo resize fix5 (#102)

* Refactored resize images ops to use TF-like bool args as input.

* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.

* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.

* Refactored nearest_neighbor resize op.

* Added a pair of tests for special case of resize_bilinear algorithm.

* Fixed issue with resize_bilinear op.

* Refactored cpu implementation for helpers with resize_nearest_neighbor op.

* Final fixed for resize ops to conform TF v.1.5

* Refactored cuda helpers for resize_neares_neighbor op.

* Fixed resize_bilinear to accept proper data.

* Fixed issue with non-float input for resize_bilinear op.

* Refactored cuda helper for resize_bilinear to proper process non-float inputs.

* Added tests for resize_bilinear to int inputs.

* Fixed ResizeBilinear wrapper

* Tests fixed

* Fixed float and bool constant to avoid overflow for some kind of compilers.

* Corrected float constants with float data type.

* Added f suffix for float constants.

* Corrected float constant to avoid overflow with initializing lists.

* Corrected float initializing list with float input.

* Corrected bool constant with initalizing list.

* Corrected float and bool values with initializing lists.

* Fixed wrong constant.

* Fixed issue with 1x1 input picture for resize.

* ResizeBilinear default values on import fix

Signed-off-by: raver119 <raver119@gmail.com>
2019-12-06 11:10:44 +03:00
Alex Black 9592072cef
Merge pull request #8457 from chentao106/Fix#8383
Fix#8383,getMostPopulatedClusters should sort by cluster's points siz…
2019-12-05 12:09:38 +11:00
Alex Black 91de96588c
BertIterator sentence pair support for supervised training (#108)
* bert iterator sentence pair handling

Signed-off-by: eraly <susan.eraly@gmail.com>

* bert iterator sentence pair handling -seg

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* bert iterator sentence pair handling tests

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* test with pairs long done

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* more tests with bert iter sent pairs done

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* fixed copyright, formatting

Signed-off-by: eraly <susan.eraly@gmail.com>

* bert iterator - added featurizer for sentence pair inference

Signed-off-by: eraly <susan.eraly@gmail.com>

* bert iterator - finished tests

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* bert iterator - finished tests, polish

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* collection labeled sentence provider

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* lombok fix for pojo class

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* java doc misc clean up

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* Private access modifiers

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2019-12-04 23:35:38 +11:00
Alex Black 9cc8803b8d
DL4J + Keras import: Causal Conv1D support (#107)
* Keras causal conv1d support first steps

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* Add tests

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* Causal conv mode

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* Gradient check and fixes for causal conv1d

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* Fix Conv1D import and testing

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* Cleanup

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* Small keras test fix

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* Don't allow setting causal convolution mode to conv2d/3d layers

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* More robustly infer nIn for recurrent layers for ambiguous NCW and NWC cases

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* Polish and cleanup

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2019-12-04 22:52:06 +11:00
Samuel Audet 5e07998e59 Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
CT c01496ce5d Fix#8383,getMostPopulatedClusters should sort by cluster's points size desc. 2019-11-27 22:35:55 +08:00
Alex Black 8843c7377a
Update shaded Jackson version to 2.10.1 (#82)
* Update shaded Jackson version to 2.10.1

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* Remove no longer needed scala compiler plugin from UI

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* Fix op name for BitwiseAnd op

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* TimeDistributedLayer mask array fix + test

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2019-11-26 19:24:38 +11:00
Alex Black 4b50b920c7
Re-add UI auto-attach functionality with test; also fixes (#80)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-25 22:52:02 +11:00
Alex Black 0e3fcdc24d
[WIP] DL4J nearestneighbors-sever: Play ->Vertx (#79)
* Switch Nearest neighbors server implementation from Play to Vertx

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* No more scala version suffix for nearest neighbor server

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* logback.xml fixes

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* Header tweaks

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2019-11-25 18:46:34 +11:00
Alex Black 5b2ee72673
DL4J Time Distributed + fixes + Vertx module profiles fix (#78)
* Add test profiles to vertx module

* Arbiter test tweaks

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* Add TimeDistributed wrapper layer

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* Tests for TimeDistributed layer

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* Small test dependency exclusion for Spark module

* Fixes, more thorough tests

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2019-11-25 16:00:21 +11:00
Alex Black e910ce75ec
Various Fixes (#75)
* #8431 Cast loss function weights array automatically

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* Add 'regex verbose mode' printing (ExecDebugListener) for TFGraphTestAllSameDiff'

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* Class import mapping fix

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* Reshape fixes

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* Don't swallow first exception in NativeOpExecutioner.exec(CustomOp)

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2019-11-23 20:06:12 +11:00
Alex Black 8d87b078c2
Fix master (#74)
* Remove non-existent cases

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* Add dependency for non-oracle jdk

Signed-off-by: Paul Dubs <paul.dubs@gmail.com>
2019-11-23 12:09:37 +11:00
Alex Black 962575dd62
Keras import: Add support for sparse cross entropy loss function (#73)
* #6377 Keras sparse cross entropy loss import support

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* Fix small bug in reshape preprocessor

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-23 00:16:13 +11:00
Alex Black 6f514e9431
DL4J UI: Migrate from Play to Vertx (#68)
* Vertx transition initial steps

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* 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

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* Fix remote UI functionality

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* Final tweaks

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* 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

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* Small fix for I18N message loading

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* 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
Alex Black 4a2fedf3e7
DL4J: Add Sparse multi-class cross entropy loss function (#72)
* #8432 Add sparse mcxent loss

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* Fixes for LossSparseMCXENT

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* add simple debugging listener for SameDiff exec debugging

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* Extra gradient check + header polishing

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-22 18:54:31 +11:00
Susan Eraly 823bd0ff88 Fixes #8415, BERT iterator inference (#71)
* Convenience method for inference with BERT iterator

Signed-off-by: eraly <susan.eraly@gmail.com>

* Included preprocessing

Signed-off-by: eraly <susan.eraly@gmail.com>

* Copyright + example

Signed-off-by: eraly <susan.eraly@gmail.com>
2019-11-22 13:19:28 +11:00
Fariz Rahman 630409cd53 Fixes Keras import issue (8373) (#54)
* test

* fix

* rem prn

* add test
2019-11-20 13:19:04 +11:00
Alex Black 8f96f71f2b
Mist gradient check (#57)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-19 00:12:59 +11:00
Alex Black a856922fe9
#8409 Fix compgraph backprop issue with dual embedding layers from single input (#52)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-16 23:09:41 +11:00
Alex Black 09a827fb6d
Fixes and pre-release QA (#51)
* #8395 Keras import - support scaled identity weight init

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More Keras scaled weight init fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* #8352 Deprecate duplicate SamplingDataSetIterator class

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* Remove /O2 optimization for faster CUDA build

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* Tweak regression test precision for CUDA

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* Fix edge cases for buffer creation

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* Update MKLDNN validation tests to new helper enable/disable settings

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* Delete debugging class

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* MKLDNN test - add proper skip for CUDA backend

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* Align WeightInitUtil with weight init classes

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* Fix for SameDiff test layers weight init when using IWeightInit classes

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2019-11-16 17:04:29 +11:00
Alex Black 47d19908f4
Various fixes (#43)
* #8172 Enable DL4J MKLDNN batch norm backward pass

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* #8382 INDArray.toString() rank 1 brackets / ambiguity fix

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* #8308 Fix handful of broken links (inc. some in errors)

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* Unused dependencies, round 1

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* Unused dependencies, round 2

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* Unused dependencies, round 3

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* Small fix

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* Uniform distribution TF import fix

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2019-11-14 19:38:20 +11:00
raver119 48df1acdfb
[WIP] ThreadPool (#8)
This PR removes OpenMP use in 95% of cases
2019-11-13 17:04:59 +03:00
Alex Black 18c01f5bdc
Add SameDiff memory reuse memory manager (array cache) (#39)
* Attention op comments

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* ArrayCacheMemoryMgr - first pass

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* Tweak array cache for use with SameDiff identity arrays

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* ArrayCacheMemoryMgr javadoc and properly get max memory

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* LRU cache policy + add tests

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* Fixes

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* Resize arrays internally if required for ArrayCacheMemoryMgr

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* Test improvement

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* Small polish

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2019-11-12 21:15:44 +11:00
Samuel Audet 73b5a508fc Update dependencies to just released JavaCPP and JavaCV 1.5.2
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
2019-11-07 17:57:34 +09:00
Alex Black df8b4e607a
SameDiff: make use of DeviceLocal configurable (#32)
* #8340 make DeviceLocal configurable

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* Small fix

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* Javadoc

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J SameDiff layers: use SingleThreadArrayHolder to avoid assigns + DeviceLocalNDArray overhead

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Javadoc

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-06 18:52:41 +11:00
AlexDBlack 2844f8b69a Merge remote-tracking branch 'konduit/master' 2019-11-02 19:00:47 +11:00
Alex Black 9efd811508
Use DL4J workspaces for SameDiff layers in MLN/CG (#23)
* #8329 DL4J workspace integration for SameDiff layers

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix bug for Nd4j.createUninitializedDetached for scalars (length 0 shape array)

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* SameDiff output layer, graph vertex, various fixes

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Javadoc

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-11-02 17:42:01 +11:00
Alex Black e9a7a13c00
More int/long compilation fixes (#22)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-11-02 15:20:19 +11:00