Commit Graph

17 Commits (50b7d82b9662dce1f818e92757250bafc9135171)

Author SHA1 Message Date
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

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* CUDA gradient check timeout fix + simple rnn masking fix

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2020-02-05 17:07:36 +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 a25bb6a11c
Unit/integration test split + test speedup (#166)
* Add maven profile + base tests methods for integration tests

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* Switch from system property to environment variable; seems more reliable in intellij

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* Add nd4j-common-tests module, and common base test; cleanup

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* Ensure all ND4J tests extend BaseND4JTest

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* Test spam reduction, import fix

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* Add test logging to nd4j-aeron

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* Fix unintended change

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* Reduce sprint test log spam

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* More test spam cleanup

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* Significantly speed up TSNE tests

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* W2V iterator test unit/integration split

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* More NLP test speedups

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* Avoid debug/verbose mode leaking between tests

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* test tweak

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* Arbiter extends base DL4J test

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* Arbiter test speedup

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* nlp-uima test speedup

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* More test speedups

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* Fix ND4J base test

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* Few small ND4J test speed improvements

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* DL4J tests speedup

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* More tweaks

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* Even more test speedups

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* More tweaks

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* Various test fixes

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* More test fixes

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* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest

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* nd4j-aeron test profile fix for CUDA

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2020-01-22 22:27:01 +11:00
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
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
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 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
Alexander Stoyakin f31661e13b
Merge pull request #7 from KonduitAI/asto_nd4s_10172019
KDTree optimization
2019-10-23 12:11:25 +03:00
Alex Black dcc2baa676
Version upgrades (#199)
* 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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* Dropping redundant dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Removed scalaxy dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* DataVec fixes for Jackson version upgrade

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* DL4J jackson updates + databind version 2.9.9.3

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

* Shade snakeyaml along with jackson

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

* Version fix

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

* Switch DataVec legacy JSON format handling to mixins

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

* Next set of fixes

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

* Cleanup for legacy JSON mapping

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

* Upgrade commons compress to 1.18; small test fix

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

* New Jackson backward compatibility for DL4J - Round 1

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

* New Jackson backward compatibility for DL4J - Round 2

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

* More fixes, all but legacy custom passing

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

* Provide an upgrade path for custom layers for models in pre-1.0.0-beta JSON format

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

* Legacy deserialization cleanup

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

* Small amount of polish - legacy JSON

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

* Upgrade guava version

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

* IEvaluation legacy format deserialization fix

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

* 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

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* Removed scalaxy dependency

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* 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

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* 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
Serhii Shepel 0463ee4eba Fix backend dependencies for tests (#189) 2019-08-29 12:54:48 +09:00
Alexander Stoyakin 650539528c [WIP] Updating failed tests to reflect code changes (#184)
* Test updated to reflect changes in random generation

* Invalid resource removed and fixed tests

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2019-08-27 19:56:04 +03:00
raver119 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
raver119 5708fc087a [WIP] INDArray hashCode() impl (#50)
* initial commit

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* one more initial commit

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* parallel hashCode prototype

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* longBytes for hashCode

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* INDArray hashCode java side

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* few tests fixed for MSVC

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* Small gradcheck validation util fix - hash names not SDVariables

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* Small fix + ignore for logged issue

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* - scrollable iterator fix
- sptree hashset replaced with collection

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* hashcode exception removed

* int hashCode for java
2019-07-20 22:22:11 +10:00
Alex Black 1170827c18 Merge master to upstream (#7945)
* Shugeo strided slice zeros (#14)

* Modified strided_slice op to properly work with empty-like shapes.

* Fixed test for reduce_mean with empty-like input.

* [WIP] Last merge (#15)

* correct logsoftmax looss (#2)

* Small SameDiff listener fix (#4)

* Various fixes (#6)

* #7839 Fix for asXMatrix and tests

* #7866 EmbeddingSequenceLayer dtype fix + test

* #7856 SameDiff save/load stream methods

* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration

* EvaluationBinary 3d/4d

* More evaluation 3d/4d tests

* #7847 Evaluation empty checks

* Small test ifx

* #7848 Fix median edge case

* Improve DL4J samediff layer tests

* [WIP] FastText wrapper implemented (#8)

* FastText implemented

* Some fixes

* Fix shapes for wordsNearest

* Validation of input vectors

* Fixes

* Fixed test

* Thread tagged

* Some tweaks

* setContextClassLoader for DeallocatorServiceThread

* Numpy format tests (#1)

* Various fixes (#11)

* #7852 SameDiff gather fix

* #7892 SameDiff placeholder to constant conversion

* #7890 validate input rank for MLN/CG init methods

* Fix broken permute shape calculation

* Permute and gather fixes

* Tests

* #7850 LogSumExp fix + test

* Handful of test fixes

* Empty arrays with non-scalar shapes (#10)

* minor rearrangements for lambdas

* empty tensors with non-scalar shapes

* numpy empty tensors with non-scalar shapes

* few more empty tweaks

* Small fixes

* conv3d signature update

* micro fix in batchnorm mkldnn

* Import fixes

* Fix

* MKL-DNN update

* Small fill fix

* fill with empty input + test

* Fixes

* Small error improvement

* Fix

* one special test

* couple of fixes for lstm

* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone

* Fixes

* FP16

* Unsigned

* BFloat16

* Fill op - empty tweaks

* - couple of fixes for empty arrays construction
- stack updated

* strided slice fix

* one transform test

* provide method for reducing shapeInfo in case of input array is empty

* Fixed reduceAlongDimensions to use empty input properly.

* couple of broadcast tests

* couple of tests broadcast tests + tweak to make them pass

* add check of non-empty to methods producing sub-arrays

* Fixed reshapeC with zeros in shape.

* complete empty check in reduce_... legacy ops

* Concat and cumsum/prod

* Tweak to empty shape inference on import

* add empty check to the rest of reduce legacy ops

* one more test

* correct typo in evalReduceShapeInfoEmpty

* Added tests for reduce_* ops to tests with zero shapes.

* few more tests for empty reductions

* Fixed strided_slice op with empty case and tests.

* one more empty reduction test

* Fixed strided_slice test.

* add empty check to NDArray::reshapei

* infOrMax

* empty min/max with infinity tests

* made unstack working correctly with empty arrays

* few IndexReduce tests + tweaks for empty shapes

* add test for empty concat

* few tests fixed

* Validation fix for reductions on empty shapes

* Reverse fix

* Reduction shape calc fixes

* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs

* Range fix

* - NDArray constructor updated for scalars/empty arrays
- few tests fixed

* More fixes

* Empty creator fixes

* concat fix

* concat fix

* TF import tests: allow 'both all NaN' and 'both all inf' to pass

* Slice, zero fraction, and reshape fixes

* transpose, gather

* Zero fraction

* scalar cast fix

* Empty reduction axis support

* few more tests fixed

* Fixed input checks conforming with TF for concat op and tests.

* few tests fixed

* matmul scalar shape fix

* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.

* broadcast bool fix

* few more tests

* few more tests

* correct evalReduceShapeInfoEmpty

* argmax/argmin + tests

* one more empty edge case + one more test

* argmax/argmin/realdiv_bp tweaks

* empty reshape test + fix

* Helper fixes

* Small fixes

* Gather test fix

* Gather test fix

* Small fixes

* reduce scalar zero values

* scalar mean workaround

* Remove debug code

* along dim mean workaround

* one more test

* - equalsTo() tweak for empty arrays
- one more test

* broadcast tweaks

* [WIP] Fixing outstanding issues for NLP (#9)

* Avoid using not-inited objects

* Test fixed.

* Redundant method avoided for models like FastText

* KMeans++ implementation

* KMeans++ implementation

* Disable parallel execution

* KMeans++

* Tests

* Dev branch merge (#16)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Fix some issues on master (#17)

* Fix DataVec test issue

* Fix issue with dl4j SameDiff output layer

* Dtype fix for lambda layers

* #7912 BertIterator dtype fix (use float32 not global default)

* [WIP] Next set of CUDA stuff (#7)

New CUDA implementations and improvements

* bad file

* Dev branch master merge (#23)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* SameDiff ops, TF import and fixes (#24)

* CheckNumerics tests + fixes + misc fixes

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

* Fake quant

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* Fixes

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* FakeQuantWithMinMaxArgs

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* CheckNumerics fix

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* Fix libnd4j ALL_INTS and ALL_FLOATS declaration (uint and bfloat types)

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* Small fix

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* Javadoc

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* Exception tweak

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* fix

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* Fix for out of scope stack allocated var use

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* Ignores

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* Ignore for known failing test (already logged issue)

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* Merge upstream to fork (#25)

* Add thousand-separator commas to TotalParams (#7915)

* Add thousand-separator commas to TotalParams

The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.

* Add thousand-separator commas to MultiLayerNetwork

Corresponding change to MultiLayerNetwork

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* Update contributing and issue/PR templates (#7934)

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* Fix link to AdaDelta paper (#7942)

Fix link to AdaDelta paper hosted on matthewzeiler.com

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* Fixes, and ignores for known/logged failing issues (#7943)

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* SameDiff + DL4J/SameDiff: Multiple fixes (#28)

* #7919 HDF5 attribute buffer length fix

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* #7909 Arbiter constructor exception ux improvements

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* #7925 RNN output layer length checks

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* #7939 Add listener for validating inputs are not incorrectly modified

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* #7939 Integrate NonInplaceValidationListener into tests

* #7844 DL4J SameDiff fixes for variable minibatch size

* DL4J SameDiff fixes - ensure gradient for input placeholder is available

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

* Tweaks to ExternalErrorsFunction - use placeholders, make more robust

* Another fix

* More fixes

* More SameDiff/DL4J fixes

* Scope out scalar array creation in BaseScalarOp

* Remove debug code

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* [WIP] Final dev branch merge (#29)

* SameDiff: convertDataType and gradient check util improvements (#12)

* GradCheck util improvements

* StopGradient constructor + test

* SameDiff: Add datatype conversion

* Javadoc and add DataType.isNumerical()

* Small fix

* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)

* TFGraphTestAllHelper: check intermediates in execution order

* Add missing debug listener

* [WIP] lstmBlock fix + other changes (#13)

- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite

* Small test fix

* CheckNumerics op wrapper

* Compatibility of deserialization (#18)

Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>

* SameDiff: add activation gradient checking support for debugging (#19)

* SameDiff gradient checker: first pass on activation gradient checks

* Fixes + tests for activation gradient checking

* Javadoc

* [WIP] Some nd4j data type corrections (#20)

* Adjust data type

* Set correct Data type.

* Size of proper data type.

* fix averaged cpu load (#22)

* [WIP] Multiple dataset iterators (#27)

* Splitting dataset into arbitrary number

* Fixes

* Multiple split of iterator

* Test

* Test

* Some fixes

* signature change

* one more tweak

Signed-off-by: raver119 <raver119@gmail.com>

* one more test for sequential use of DataSetIteratorSplitter

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* Fixes

* Fixes

* one more test for Alexander

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* Some fixes

* Some fixes

* one more test for Alexander

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* minor test fix

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* Some fixes

* Some fixes

* couple of assertions tweaked

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* MDS splitter test :/

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* Minor refactoring

* Multi dataset

* Some fixes

* More tests

* Small number of test fixes/improvements (failures on CI) (#31)

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* [WIP] More CUDA stuff (#26)

* initial commit

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* LRN BP CUDA

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* less memory

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* Fixed bug with crop_and_resize op helper.

* get rid of unnecessary index-calculation dunction

Signed-off-by: Yurii <yurii@skymind.io>

* Fixed sort with nth_element cuda-based helper.

* Refactored nth_element.

* Refactored nth_element op and tests.

* Modified usage of dim array with sortTad routine.

* Refactored main routine of helper for non_max_image_suppression op.

* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.

* fix vol2col cuda kernel

* meh

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* topK concept

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* unsorted topK with scanWitdh of 1

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* correct vol2col tests

* sorted/unsorted topK

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* implementation and fixing col2im/col2vol

* Corrected usage flags with input/output with reverse op.

* dup is const now

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* percentile op

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* group tests for mapool2d

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* special test for george

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* less threads for sortTad

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* provide conv2d for cuda

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* remove auther in sort tad kernel code

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* provide depthwise_conv2d for cuda

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* - max_pooling_with_argmax
- null check for special use

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* dts cuda

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* provide sconv2d for cuda

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* std cuda

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* Refactored non_max_suppression op to conform TF implementation.

* Improved suppression helper.

* provide pooling3d for cuda

Signed-off-by: Yurii <yurii@skymind.io>

* minor lstm rearrangements

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* more of minor lstm rearrangements

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* (bi)dynamic_rnn

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* templates init order

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* Refactored non_max_suppression op.

* Added cuda kernel for non_max_suppression.

* CPU sort by key/value

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* CPU sort TAD by key/value

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* CPU sort TAD by key/value tests

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* Eliminate compiler error with cuda implementation.

* - repaired gradCheck in cuda
- provide conv2d_bp for cuda

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* missed signature

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* provide depthwise_conv2d_bp for cuda

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* Implementation of lup helper with cuda kernel. Initial commit.

* further work on backprops for convolutions

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* CUDA linear sort by key/val

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* CUDA tad sort by key/val

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* start providing of backprop for pooling2d/3d

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* Added atomicAdd for bool datatype.

* dynamic partition concept

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* dynamic partition concept

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* dynamic partition scalar CUDA

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* important comment

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* fix pooling2d/3d backprop helpers

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* Added non-linear test with dynamic_partition.

* Improved test for dynamic_partition.

* dynamic_partition TAD concept

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* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix

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* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d

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* dynamic_stitch CUDA vector case

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* dynamic_stitch CUDA TAD case concept

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* dynamic_stitch CUDA TAD case impl

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* Added tests for dynamic_stitch 3D-4D cases.

* minor tests tweaks

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* Fixed type check for dynamic stitch.

* min/max bp

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* rewrite code for upsampling2d/3d cpu

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* reduce min/max/norm_max bp

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* lup implementation. Additional enhancements.

* provide code for upsamling2d/3d backprop

Signed-off-by: Yurii <yurii@skymind.io>

* weightedCrossEntropyWithLogits

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* Fixed template math atomicMul for 64bit ints.

* Refactored dynamic_partition_bp op.

* inverseBroadcast fix

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* DynamicPartitionBP test datatype fixed.

* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA

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2019-06-27 18:37:04 +03:00
Alex Black 32e5cc1945
First round of runtime test improvements (#7875)
* Capsnet test runtime improvements

* Slow test speedups

* Next round of test speed improvements

* More test improvements

* Improve test speed

* Next round of test speedups

* Another round

* More test speedups

* Another round

* Another round of test speedups

* Another round of speedups...

* CuDNN test speedups + more tests extending BaseDL4JTest

* Minor fix + more BaseDL4JTest use in other modules
2019-06-13 20:40:40 +10:00
skymindops b5f0ec072f Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00