Commit Graph

81 Commits (d3c759e03f85df54a3a05e427ccb1ea74a88036d)

Author SHA1 Message Date
Alex Black 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

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

* Fix nd4j-common for deeplearning4j-cuda

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

* nd4j-grppc-client: org.nd4j.graph -> org.nd4j.remote.grpc

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

* deeplearning4j-common: org.deeplearning4.* -> org.deeplearning4j.common.*

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

* deeplearning4j-core: org.deeplearning4j.* -> org.deeplearning.core.*

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

* deeplearning4j-cuda: org.deeplearning4j.nn.layers.* -> org.deeplearning4j.cuda.*

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

* Import fixes

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

* deeplearning4j-nlp-*: org.deeplearning4.text.* -> org.deeplearning4j.nlp.(language).*

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

* deeplearning4j-ui-model: org.deeplearning4j.ui -> org.deeplearning4j.ui.model

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

* 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

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

* Delete org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter in favor of (essentially identical) org.nd4j.linalg.dataset.adapter.MultiDataSetIteratorAdapter

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

* ND4S fixes

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

* Fixes

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

* nd4j-common-tests: org.nd4j.* -> org.nd4j.common.tests

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

* Trigger CI

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

* Fixes

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

* #8878 Ignore CUDA tests on modules with 'nd4j-native under cuda' issue

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

* Fix bad imports in tests

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

* Add ignore on test (already failing) due to #8882

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

* Import fixes

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

* Additional import fixes

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-04-29 11:19:26 +10:00
Fariz Rahman 4cb87a94e8
tf.keras import test and fixes (#347)
* merge conf

* merge conf

* tfkeras tests

* parameterized tests

* rename

* cuda versions

* jccp versions

* 'updates'

* updates

* rnn+mlp passing

* repeat

* updates

* tests

* Update pom.xml

* Update pom.xml

* rem print

* cnn1d model conversion fixed

* cnn1d activate fixed

* cnn1d outptut shape fix

* cnn1d bprop fix

* cnn1d stack fix

* KerasModelEndToEndTest - Remove permutes for NWC and NHWC format tests

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

* Fixes and update test - input shapes (NCHW -> NHWC input)

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

* Ignore for known bad tests

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

* Multiple fixes - MergeVertex, CNN1D layers, etc

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

* Fix issue with RNN/FF preprocessors, time distributed etc with NWC format

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

* LSTM NWC dropout fix

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

* Add sequence embedding layer NWC support (configurable output format)

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

* Fix expected shape in a couple of tests - NWC expected

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

* Fix EmbeddingSequenceLayer backprop for NWC output case + add gradient checks

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

* CnnToFeedForwardPreprocessor: align with Keras/TF; fix Keras reshape/flatten

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

* Update ConvDataFormatTests to match new reshape behaviour

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

* Switch hard-coded path to ResourceUtils.listClassPathfiles for TestTFKerasModelImport

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

* TestUtils fix

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

* Fixes

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

* Fix JSON serde issue with data formats

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

* Fix for input dtype inference; fix 2 tests

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

* Test fixes

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

* #8891 Ignore for TestVertxUIMultiSession until fixed

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

* Restore but deprecate TensorFlowCnnToFeedForwardPreProcessor for older zoo models

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

* Ignore for deprecated preprocessor in DTypeTests

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

* Remove debug printlns

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-28 20:31:09 +10:00
Alex Black 9e7395667f
MKLDNNConvHelper: don't permute; pass in weight format arg (#412)
* MKLDNNConvHelper: don't permute; pass in weight format arg

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

* Fix flaky tests unrelated to main branch change

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

* Don't log every extracted file for LFW and other auto-downloaded image loaders using BaseImageLoader.downloadAndUntar

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-04-26 01:04:31 +10:00
Fariz Rahman 2ecabde500
DL4J NWC support for RNNs (#379)
* merge conf

* merge conf

* conf fix

* NWC initial

* revert pom.xml

* revert pom.xml

* default NCW

* bidirectional+some tests

* RNNOutputLayer, RNNLossLayer, Graves + tests

* rnn tests

* LastTimeStep + tests

* masking + tests

* graves, rnnoutput, rnnloss

* nwc timeseries reverse

* more tests

* bi-gravelstm test

* fixes

* rnn df tests basic

* bug fix: cudnn fallback

* bug fix

* misc

* gravelstm tests

* preprocessor fixes

* TimeDistributed

* more tests

* RnnLossLayer builder def val

* copyright headers

* Remove debug println

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

* Small fix + test naming

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

* Parameterized test name

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

* fix LastTimeStep masked

* Fix MaskZero mask datatype issue

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

* rem println

* javadoc

* Fixes

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-23 12:16:44 +10:00
Alexander Stoyakin 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
Alex Black 2a488efb1b
DL4J CNN2D layers NHWC support (#376)
* First steps for DL4J NHWC support

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

* Conv2d NHWC forward pass works

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

* Conv2d NHWC backprop

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

* Conv2d backprop + fixes; subsampling fwd/bwd; improve tests

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

* Zero padding layer NHWC support

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

* Cropping2D NHWC support

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

* Deconv2d NHWC + clean up NHWC test framework code duplication

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

* CnnLossLayer NHWC support

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

* Upsampling and batchnorm NHWC support

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

* Space to depth

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

* Depthwise pt1

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

* Depthwise pt2 and LRN

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

* SpaceToBatch

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

* LocallyConnected2D

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

* Fix depthwise nhwc support

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

* Upsampling NHWC - workaround for #8857

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

* Workaround for #8859 - SpaceToDepth

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

* Batch normalization workaround - #8860

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

* cuDNN fixes

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

* Switch cudnn conv2d to permute based impl due to 'true' NHWC not working

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

* cuDNN subsampling helper NHWC fix

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

* Upsampling/batchnorm fixes

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

* Small fixes

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

* CNN2D NHWC gradient checks (make CNNGradientCheckTest parameterized)

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

* Gradient checks, SConv2d, bunch of fixes

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

* Small fixes

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

* Global pooling NHWC support

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

* Also test both float and double for cuDNN NHWC tests

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

* Javadoc

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

* Ignore failing keras import test until next PR

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-04-22 22:54:29 +10:00
Alex Black fe516ae6cf
nd4j-jackson dependency fix (#398)
* Remove old nd4j-jackson dependencies

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

* Fix use of old/deprecated JSON serializer

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

* Fix deserialization

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

* Delete test using deleted ser/de classes

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

* Delete another copy of old test

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-04-20 22:33:11 +10:00
Alexander Stoyakin 455a5d112d
Fixes for codegen generated classes and build improvements (#367)
* Input format extended

* Deleted redundant code

* Added weights format to conv2d config

* Refactoring

* dl4j base test functionality

* Different tests base class per module

* Check base class for dl4j-graph subproject tests

* Check if test classes extend BaseDL4JTest

* Use nd4j-common-tests as transient dependency

* Enums and tests added

* Added codegenerated methods

* Use namespace methods

* Replace DifferentialFunctionFactory  with codegenerated classes

* Fixed linspace

* Namespaces regenerated

* Namespaces used instead of factory

* Regenerated base classes

* Input format extended

* Added weights format to conv2d config

* Refactoring

* dl4j base test functionality

* Different tests base class per module

* Check base class for dl4j-graph subproject tests

* Check if test classes extend BaseDL4JTest

* Use nd4j-common-tests as transient dependency

* Enums and tests added

* Added codegenerated methods

* Use namespace methods

* Replace DifferentialFunctionFactory  with codegenerated classes

* Fixed linspace

* Namespaces regenerated

* Regenerated base classes

* Regenerated namespaces

* Generate nd4j namespaces

* INDArrays accepting constructors

* Generated some ops

* Some fixes

* SameDiff ops regenerated

* Regenerated nd4j ops

* externalErrors moved

* Compilation fixes

* SquaredDifference - strict number of args

* Deprecated code cleanup. Proper base class for tests.

* Extend test classes with BaseND4JTest

* Extend test classes with BaseDL4JTest

* Legacy code

* DL4J cleanup

* Exclude test utils from base class check

* Tests fixed

* Arbiter tests fix

* Test dependency scope fix + pom.xml formatting

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

* Significant number of fixes

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

* Another round of fixes

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

* Another round of fixes

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

* Few additional fixes

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

* DataVec missing test scope dependencies

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-20 10:27:13 +10:00
Alex Black 73aa760c0f
Timeouts and scala 2.12 for deeplearning4j-nlp-korean workaround (#380)
* Increase default timeout on Spark tests

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

* #8840 disable deeplearning4j-nlp-korean module for scala 2.12

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

* Fix for change-scala-versions.sh

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

* CUDA test fixes + more timeout issues

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

* More CUDA

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

* Small fix for cuDNN subsampling + same mode

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

* Flaky test fix

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

* Reduce memory requirements for ValidateCuDNN BN test

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

* Fix slow/ineffirient scalnet tests

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

* Increase timeouts to avoid failures if CI machines are slower than expected

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

* Ignore flaky test (issue #8849) and increase timeout for slow CI downloads

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-04-20 10:26:00 +10:00
Alex Black 133223e865 Merge remote-tracking branch 'eclipse/master' 2020-04-14 22:24:17 +10:00
raver119 3e2dbc65dd
MatMul for gemm/gemv calls (#365)
* libnd4j added optional alpha and beta support to matmul

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j typos fixes

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j add optional alpha and beta to matmul_bp

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j one more typo fix

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* libnd4j added optional alpha and beta to mkl implementation

Signed-off-by: Oleg <oleg.semeniv@gmail.com>

* MatMul alpha/beta on java side

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

* alpha/beta fix in libnd4j

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

* alpha/beta fix in matmul_bp

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

* restored view validation

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

* gemv/gemm now use MatMul op

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

* few tests fixed

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

* additional INDArray.mmul signature

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

* make C order default for INDArray.mmul, unless both A/B have F order

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

* Nd4j.gemm validation fix

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

* disable mkldnn matmul for xxf with beta != 0 case

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

* SimpleRnn workspace fix + timeouts

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

* two more tests + minor fix in matmul platform check

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

* Flaky test fixes

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

* propagate testresources profile

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

* Resources fix + flaky test fix

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

Co-authored-by: Oleg <oleg.semeniv@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-10 17:57:02 +03:00
Andrii T d86dd5b131
DL4J and SameDiff integration tests + LSTMLayer java op class (#353)
* init in this branch

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Lenetet Mnist workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* small fix for calculations

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* for Alex to check placeholder null pointer issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* CNN3D workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* state for launching on dxg to regenterate dl4j examples

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* SD RNN test case workflow

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* small fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* checkpoint at lstmBlock: Input array 1 (x) rank must be got input with rank 2 issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Fix LSTMLayer inputs order

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* lstm mismatch with c++ op issue

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayer config draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayer config draft v2

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* have doubt I had to do this

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* NDRNN generated by codegen

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* LSTMLayerTestCases draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fixes again

* added LSTMLayer testcases to nd4j-tests + setted Preconditions in LSTMLayer constructors

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* added lost SDCNNtestcases

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* overrided getNumOutputs from DynamicCustomOp in LSTMLayer and reorganized LSTMLayerOutputs according to cpp op

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished with LSTMLayerOutputs

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Fix MKLDNN platform checks (i.e., when MKLDNN can be used vs. not)

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

* Fix LSTMLayerWeights input order

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

* More fixes

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

* minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* fixed LSTMLayer testcases

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished SameDiffRNNTestCase

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* finished all testcases + minor fixes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Multiple generation-related fixes

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

* Fix multiple issues

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

* More fixes

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

* LSTM fixes

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

* Regenerate ND4J namespaces and fix multiple issues

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

* changed SameDiffRNNTestCase

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Small fix

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

* added  Nd4j.getRandom().setSeed(12345) where needed

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* #8828 Fix ND4J profiler NaN/Inf checks when using OpContext

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

* #8828 Fix ND4J profiler NaN/Inf checks when using OpContext

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

* Tweak to weight init for SameDiff CNN test case

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

* Tweaks for test cases

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

* Ignore failing tests until fixed

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

* Fix

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-09 00:20:48 +10:00
Alexander Stoyakin 0a27e9f41d
Fix incompatibilities with generated code (#303)
* Cholesky fixed

* Constructors added

* MatMul wrapper

* Constructor added

* Missing wrappers added

* Generate Linalg namespace added

* Output data types

* Unit tests

* Added mmul

* Code generation

* Code generated

* Build fixed

* Fixing signatures

* Tests fixed

* Tests fixed

* Added enum

* Fix tests

* Some fixes

* Eye test fixed

* SameDiff: small fix for renameVariable - also replace variable name in lossVariable list if necessary

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

* Some fixes

* Tests fixed

* Revert wrong fix

* Some fixes

* Some fixes

* Extending base test class

* Added pad

* Fixed for generated signatures

* Fixes due to nd4j codegen

* Backwards compatibility fixes

* Fixed errors in tests, reverted wrong changes

* Test fixed

* Added missing operations used for nd4s operators

* Compilation fixed

* Added meshgrid

* Fixed constructors

* fixes

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

* Fix bad commit (incorrectly reverted change from master)

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

* Fixed test

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-01 12:00:38 +11:00
Alex Black 55a3d9bb2c Fix loading both model and serializer at once from stream + re-add checks
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-31 11:56:56 +11:00
Alex Black e3a8629214 2 more try-with-resources (buffered + close)
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-31 11:38:12 +11:00
Alex Black 3f49d646fc API fix + try with resources (close file stream + buffered)
Signed-off-by: Alex Black <blacka101@gmail.com>
2020-03-31 11:34:43 +11:00
Alex Black 2e52f0217f Merge branch 'master' of https://github.com/horschi/deeplearning4j into horschi-master 2020-03-31 10:20:31 +11:00
Alex Black 63c9223bc2
Assorted fixes (#318)
* #8777 MultiLayerNetwork.evaluate(MultiDataSetIterator) overload

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

* #8768 SameDiff.equals

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

* #8750 shade freemarker library and switch to it in DL4J UI

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

* #8704 DL4J UI redirect

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

* #8776 RecordReaderDataSetIterator builder collectMetaData fix

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

* #8718 Fix DL4J doEvaluation metadata

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

* #8715 ArchiveUtils - Add option to not log every extracted file

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* No exception for evaluations that don't support metadata

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* Fixes

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* #8765 CompGraph+MDS fix for SharedTrainingMaster

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* small fix

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* Timeout

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* Ignore

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* Revert freemarker shading

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* Ignore

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2020-03-27 00:33:13 +11:00
Fariz Rahman b1bc7df160
tf.keras model import (#258)
* tf op initial

* ..

* protobuf parsing working

* model build working

* test passing

* headers

* conffix

* service loader + tests

* revert cuda version

* msg

* override

* refacc

* pom

* rem bad import

* dtype fix + const cast caaching

* rem unnecessary fields

* rem println

* rem dep

* refacc

* rem redundant arg

* Ignore TFOpLayer in DTypeTests

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-03-24 20:37:27 +11:00
Alex Black a80fb99a5f
DL4J integrations tests updates + add SameDiff support (#298)
* Revive and start updating DL4J integration tests

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* Add SameDiff support - first pass

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* SameDiff test case generation

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* SameDiff integration tests polishing

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* More SameDiff integration test fixes

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* Final polish

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* Small test tweak

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2020-03-07 22:44:41 +11:00
Alex Black 483c3d7b8c
Assorted SameDiff/DL4J fixes (#279)
* #8565 Normalizer toString/hashcode

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* #8731 ImagePreProcessingScaler lables/segmentation fix

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

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

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* EmbeddingLayer test tweak

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2020-03-02 16:15:49 +11:00
cspriegel 1df8899fb1 restoreMultiLayerNetwork() needlessly writes temp-file #8735
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2020-02-26 16:24:32 +01:00
Shams Ul Azeem f165160edb
MultiLayerConfiguration should be ComputationGraphConfiguration for validating a cg model conf (#240) 2020-02-14 12:06:00 +11:00
Alex Black 569a46f87d
Fixes (#213)
* Increase timeouts for 2 tests occasionally failing on CI

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* 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 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

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* Global pooling backprop dtype fixes

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2020-02-04 15:38:06 +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
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

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

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* Remove incorrect TF import mapping for TensorMmul op

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* Cleaned TF mapping

* Fix path for test results on windows

* Remove old dependency

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* 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

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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

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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
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>
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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
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

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

* 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

Signed-off-by: Alex Black <blacka101@gmail.com>
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
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 5b2ee72673
DL4J Time Distributed + fixes + Vertx module profiles fix (#78)
* Add test profiles to vertx module

* Arbiter test tweaks

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

* 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 8d87b078c2
Fix master (#74)
* Remove non-existent cases

Signed-off-by: Paul Dubs <paul.dubs@gmail.com>

* 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 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

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* More Keras scaled weight init fixes

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* #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

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

* #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 df8b4e607a
SameDiff: make use of DeviceLocal configurable (#32)
* #8340 make DeviceLocal configurable

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* Small fix

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

* Javadoc

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

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* Javadoc

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2019-11-06 18:52:41 +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

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* Javadoc

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2019-11-02 17:42:01 +11:00
Alex Black d82877b18b
Various SameDiff fixes (#21)
* MKLDNN LSTM forward implementation (disabled pending #8331)

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

* #8318 add SameDiff.calculateGradientsAndOutputs

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* Disable mkldnn backprop for now - pending fix, issue #8335

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* #8337 Fix CudaExecutioner unnecessary result array allocation/replacement

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* Small FlatBuffers serde fix, UInt8

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* #8135 ImagePreProcessingScaler - add segmentation support

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* #8319 Ensure listeners are called when they are supposed to be called

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* #8214 UNet (non-pretrained) last conv layer kernal size fix

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2019-11-02 11:25:53 +11:00
Alexander Stoyakin 45a40c8a89
DL4J/ND4J: Do pass on integer casts (#15)
* Int cast fixes.

* Revert "Int cast fixes."

This reverts commit aa36e8ca

* Int casts

* Int cast

* Int casts

* Get rid of int casts. Dropping deprecated aggregate ops.

* java scatterUpdate changes

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

* c++ scatterUpdate changes

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* Remove aggregated ops.

* Restored test

* Tests restored.

* Minor fixes
2019-10-31 11:23:09 +02:00
Alex Black d333d29099
SameDiff cleanup and fixes (#12)
* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution

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

* SameDiff API cleanup

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* More SameDiff cleanup

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* Small fixes

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* #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour

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* #8252 TanhDerivative javadoc

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* #8225 Deconvolution2D input validation

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* #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess'

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* #8224 SameDiff.zero and .one create constants, not variables

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* More cleanup and fixes

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* Small test fix

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* Small fix

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* DL4J SameDiff fixes

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* Re-add hack for Deconvolution2DLayer until #8315 is resolved

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* #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property

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* All ND4J init logging checks system property

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* Small tweak

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* Remove redundant device logging

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* One more fix

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* UX improvements

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* Deconv fix

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* Add deconv tests

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* Cleanup

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* Remove debug code

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2019-10-26 12:38:08 +11:00
Alexander Stoyakin d98784197a
[WIP] Some optimizations in dl4j (#11)
* Minor optimization.

* Reduce number of objects.

* Extend arrays when limit reached

* Test

* Some fixes.

* Small fix

* Wrong condition fixed.

* Fixes of reallocation.

* Small fix.

* Tests

* Clean up

* Test added.

* Tests and some fixes.

* Test

* Test fixed.

* Conflict fixed.

* UX improved
2019-10-24 14:15:50 +03:00
Alex Black 3f0b4a2d4c
SameDiff execution, TF and memory management overhaul (#10)
* SameDiff execution memory management improvements, round 1

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

* Round 2

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* Round 3

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* Clear node outputs closed array references; Slight change to OpValidation internals to not rely on cached op outputs

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* Next steps

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* Next step

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* Cleanup

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* More polish

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* Fix

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* Add WeakIdentityHashmap

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* Session fixes for control ops and next steps

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* More fixes

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* Fixes

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* First steps for training session + in-line updating

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* Next steps

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* Fix losses and history during training

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* More fixes

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* BiasAdd and other fixes

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* Don't use SDVariable.getArr() in TFGraphTestAllHelper (import tests)

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* Small fix

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* Cleanup

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* First steps for new dependency tracking approach

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* Start integrating dependency tracking for memory management

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* Non-control op dependency tracking works/passes

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* Switch/merge

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* Next steps

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* Cleanup and next steps

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* Small fixes

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* Fix issue dependency tracking for initial variables/constants

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* Add check for aliases when determining if safe to close array

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* First pass on new TF graph import class

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* Import fixes, op fixes

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* Cleanup and fixes for new TF import mapper

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* More cleanup

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* Partial implementation of new dependency tracker

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* Next steps

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* AbstractDependencyTracker for shared code

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* Overhaul SameDiff graph execution (dependency tracking)

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* More fixes, cleanup, next steps

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* Ad no-op memory manager, cleanup, fixes

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* Fix switch dependency tracking

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* INDArray.toString: no exception on closed arrays, just note closed

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* Fix enter and exit dependency tracking

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* TensorArray memory management fixes

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* Add unique ID for INDArray instances

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* Fix memory management for NextIteration outputs in multi-iteration loops

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* Remove (now unnecessary) special case handling for nested enters

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* Cleanup

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* Handle control dependencies during execution; javadoc for memory managers

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* Cleanup, polish, code comments, javadoc

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* Cleanup and more javadoc

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* Add memory validation for all TF import tests - ensure all arrays (except outputs) are released

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* Clean up arrays waiting on unexecuted ops at the end of execution

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* Fixes for enter op memory managent in the context of multiple non-nested loops/frames

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* Fix order of operation issues for dependency tracker

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* Always clear op fields after execution to avoid leaks or unintended array reuse

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* Small fixes

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* Re-implement dtype conversion

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* Fix for control dependencies execution (dependency tracking)

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* Fix TF import overrides and filtering

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* Fix for constant enter array dependency tracking

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* DL4J Fixes

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* More DL4J fixes

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* Cleanup and polish

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* More polish and javadoc

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* More logging level tweaks, small DL4J fix

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* Small fix to DL4J SameDiffLayer

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* Fix empty array deserialization, add extra deserialization checks

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* FlatBuffers control dep serialization fixes; test serialization as part of all TF import tests

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* Variable control dependencies serialization fix

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* Fix issue with removing inputs for ops

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* FlatBuffers NDArray deserialization fix

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* FlatBuffers NDArray deserialization fix

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* Small fix

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* Small fix

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* Final cleanup/polish

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2019-10-23 21:19:50 +11:00
Robert Altena f25e3e71e5 remove lengthLong (#236)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-09-05 11:19:38 +10:00
Alex Black d41018751b
Small fix (#233)
Signed-off-by: Alex Black <blacka101@gmail.com>
2019-09-04 19:11:17 +10:00
Alex Black 3f3b676ce5
DL4J Fixes (#204)
* Fix issue with recently introduced exception handling system in MultiLayerNetwork/ComputationGraph

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

* Fix for SpaceToBatch layer

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* #8133 DL4J SpaceToBatch gradient fix

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2019-08-30 23:00:53 +10:00