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DL4J: validate networks with incompatible RNN configs (TBPTT + certain layers) #6991

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AlexDBlack opened this issue Jan 14, 2019 · 1 comment
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AlexDBlack commented Jan 14, 2019

It doesn't make sense to use TBPTT with either a global pooling layer or a LastTimeStepLayer/Vertex - both of these combine the full sequence to a non-sequence activations... but TBPTT does training with partial sequences. The combination of these doesn't make sense in almost all cases and users should get a warning or exception.

Aha! Link: https://skymindai.aha.io/features/ND4J-21

@AlexDBlack AlexDBlack added the DL4J General DeepLearning4j issues label Jan 14, 2019
@AlexDBlack AlexDBlack self-assigned this Jan 29, 2019
AlexDBlack added a commit that referenced this issue Jan 29, 2019
* #7084 SameDiff GradCheckUtil mask

* #7074 #7075 Add ROCBinary.getROC(int); Add ROCBinary.stats() AUPRC

* #7064 Fix DL4J UIServer (temporary) memory leak

* #6991 Validate invalid TBPTT + GlobalPooling/LastTimeStep

* #7068 DataType validation (and casts where required) for dropout
raver119 added a commit that referenced this issue Feb 6, 2019
* Shyrma fix (#6930)

* provide intrinsic gnu gcc function for casting float -> float16

* f16c support for avx2 builds

* meh

* another var name

* check whether correct functions are coalled while float <--> float16 cast

* fix for failing test

* Add explicit dependency on libnd4j in nd4j-backend-impls (#6921)

* Add explicit dependency on libnd4j in nd4j-backend-impls

* Move libnd4j dependency into backends themselves and use appropriate classifier

* Change classifier to take platform extension into account (#6932)

* Update config-gpu-cpu.md (#6926)

* Update config-gpu-cpu.md

Added cuda version list

* Update config-gpu-cpu.md

* fix duplicate word typos (#6919)

* [WIP] No more axis (#6902)

Axis overhaul

* Few more fixes (#6944)

* broadcastable pow

* one range test

* few more range tests

* listdiff now accepts all int types for indices + test

* or/xor/and tests

* exclude b40c

* Update to JavaCPP and JavaCV 1.4.4-SNAPSHOT, and their dependencies (#6939)

* [WIP] SameDiff fixes, exec overhaul, control dependencies etc (#6816)

* More blocking out

* Session updates

* More tweaks

* Split up sessions; SameDiff method deprecations in preparation for changes

* More session implementation

* Misc

* Sessions - better logging, cleanup

* First steps for proper execution in session...

* Fix merge op use outside of import

* Next steps

* Import variable control dependencies

* More fixes

* Start on execution frames

* More frame/iteration support

* A ton more implementation; while loops almost work

* More fixes

* Cleanup + exit op

* While loop now works (other than maybe unsafe output array reuse...)

* Cleanup, javadoc, polish

* Fixes

* All arrays are now allocated in InferenceSession not SameDiff class

* Fix session loop execution: allocate new arrays for loops to enable backprop

* Start cleaning up SameDiff class fields

* Transition more fields to new structure

* More cleanup of SameDiff class fields

* Clean up fields, change some signatures, force dtypes in creator methods, break a bunch of stuff in the process

* Stuff compiles again

* Remove variableNameToArr map

* More cleanup

* Integrate new execution sessions; clean up some old exec methods

* Debugging

* A ton of fixes

* Multiple FlatBuffers mapping fixes

* Add more FlatBuffers fixes

* More fixes

* Change VariableType to VarType to avoid name clash

* Change VariableType to VarType to avoid name clash

* Regenerate with flatc 1.9.0

* Restore old VariableType.h inadvertantly overwritten

* Scalar op flatbuffers fixes

* More scalar flatbuffers mapping fixes

* More fixes; reimplement backprop grad fn creation to remove topological order assumption

* Cleanup

* Greedy datatype inference pt1

* First round of output dtype method implementations

* First set of gradient checks finally passing again

* Fixes, and output datatypes for many ops

* Add cast op methods + other fixes

* Next round of fixes

* Multiple fixes

* More datatype methods

* A whole lot more flatbuffers mapping fixes

* More datatype calculation implementations

* Next round of fixes

* Even more fixes...

* Next round of fixes

* More fixes

* More fixes, remove old workspace from samediff (to go into inference session)

* Random op fixes

* More fixes

* A bunch more fixes, conv etc

* More fixes

* More fixes

* More fixes

* Result array datatype fixes for a bunch of BaseNDArray ops

* More flatbuffers mapping fixes

* More fixes

* Another set of fixes

* Fix handling of repeated variable inputs to ops

* Multiple fixes for scalar ops (types, flatbuffers mapping)

* Handful of additional fixes

* Import fixes

* ArgMin/Max fixes; fix skipping of non-imported nodes during import

* More TF import fixes

* Session fixes

* Import fixes, consolidate 2 more fields

* Op type calculation fixes

* Op validation datatype message improvements

* More op dtype fixes, no more ninja array creation in base op getters

* Fixes for reduction op exec with dimension arg

* toVector error message improvements

* Fix import datatype inference

* Op fixes

* Log a more useful exception for native output shape calculation issues

* Reduction shape fix, resolve before exec; fix concat resolving

* Name fix for properties

* More op and import fixes

* Fixes for variables datatypes for TF import

* Update ops.proto; change allowable datatypes for unique with counts

* Fixes for output shape calc

* Clean up and significantly simplify op output shape calculation

* A bunch more fixes

* Fix issue with wrong opnum in NativeOpExecutioner

* More op fixes

* TF import fixes, inference session allow long axis arg, ArrayOptionsHelper fix

* Fix BatchNorm

* Fix NDArrayStrings for String arrays + improve tests

* Import TF String arrays as UTF8 INDArrays

* Assertion and control dependency fixes

* More op fixes

* Minor test update

* Small fixes

* Small fixes most rebase

* Various compilation fixes

* A bunch of post merge fixes

* FlatBuffers mapping fix; fix Nd4j.createFromArray methods

* Reduce3 fixes

* Fix Or/And/Xor execution

* Loss function and other fixes

* Segment op dtype fixes

* Small fix for sum with keep dims

* Fix PlayUIServer.detach() to allow sequential attach-detach of StatsStorage (#6950)

* Fix PlayUIServer.detach(), add test for sequentially attaching and detaching StatsStorage

* fix missing ND4J backend for TestPlayUI

* remove unused imports

* Fixes for failing DL4J/ND4J tests (#6954)

* Make Reshape.doDiff more robust/reliable

* Multiple dl4j/nd4j fixes

* Fixes for unsorted segment ops

* More test fixes

* More fixes

* Small SameDiff fix

* [WIP] Couple of fixes (#6953)

* few casts

* output buffer nullification is optional now

* copypasta fix

* tan fix

* FlatBuffers upgrade (#6956)

* small test update

* fb update to 1.10

* fix: dl4j RepeatVector (#6945)

* detatch after repeat

* typo

* dont detach

* rem redund line

* Added test for zeta op.

* Shugeo zeta (#6957)

* Added a pair tests with zeta ops.

* one more test for zeta

* Fixed java-related zeta op bug.

* Refactored zeta helper to eliminate assignment and allocations.

* Next round of SameDiff/ND4J/TF import fixes (#6959)

* Add LogMatrixDeterminant

* Add LSTM.getHelper()

* Fix output type validation for shapes_of op

* Multiple op fixes

* Remove old/legacy Nd4j.getEnsuredShape

* More SameDiff fixes

* Update maven shade plugin version (#6962)

* Next round of SameDiff/ND4J fixes (#6964)

* Multiple test fixes

* Fix DataType issue in BaseNDArray constructors

* Misc fixes

* More misc fixes

* Variety of fixes; a few temporary ignores to get CI running again

* Fix reverse op

* Unify CPU extension parameter selection (#6947)

This drops javacpp.extension in favor of only using libnd4j.extension
to trigger the proper profiles that will set all other required properties.

So far only two possible values are supported: avx2 and avx512.

* libnd4j: Install both CPU and CUDA assembly ZIP files on Maven build (#6946)

Also move all CUDA modules in "cuda" profiles and nd4j-native modules in "cpu" profile activated by default when libnd4j.chip != cuda

* bug fix: Nd4j - "Invalid opType SHORT" when creating short buffer (#6966)

* Nd4j.create(....SHORT)

* more dtypes

* fix createSame()

* Another round of SameDiff and TF import fixes (#6967)

* Fix for SameDiff.outputs() inference for conditional ops

* Variable control dependency execution fix

* Another control dependency import/execution fix

* Fix another control dependencies edge case for execution

* SameDiff.outputs() fix/workaround for bad TF graphs (non-consumed switch outputs)

* Identity output shape calculation fix

* Fix issue with control dependencies for constants combined with loops

* Ignore for handful of remaining import tests for CI

* correct reverse op and check mirror pad op (#6968)

* Next round of SameDiff/import fixes (#6971)

* Check for ragged arrays for Nd4j.createFromArray

* ResizeBilinear and Pad calculateOutputDataTypes methods

* BatchNorm and DepthwiseConv2D calculateOutputDataTypes methods

* ArgMin/ArgMax fixes

* Skip NaN/Inf check for profiler mode for non-FP datatype arrays

* NativeOpExecutioner error message improvements; update ignores based on now passing tests

* Update zoo model ignores for now passing models

* Remove z method (#6970)

* fix bug in mirrorPad helper (#6974)

* [WIP] SameDiff fixes/improvements (#6969)

* var types?

* placeholder shape

* temporary samediff array registration

* - variable existance check
- new exception
- lots of legacy fb files removed

* legacy rng removed

* sort draft

* - castTo during association
- allow placeholder to contain array

* resolved PLACEHOLDER becomes NDARRAY

* strings draft

* strings equality shortcut

* schema update

* flat string array ser/de

* schema update

* schema update

* - fb deserialization draft
- new NDArrayFactory::empty signature

* - byte strings
- bitswap for be/le

* NDArray::asByteVector for strings

* more strings tweaks

* SameDiff: Add TensorArray support for new execution, new tests (#6976)

* Small TFGraphMapper node name fix

* TensorOp next steps

* More TensorArray implementation

* TensorArray fixes/implementation

* Gather, scatter TensorArray support

* Small fix

* TensorArraySplit and fixes

* Cleanup

* Test fixes

* Fix typo/build issue in CnnSentenceDataSetIterator (#6978)

* [WIP] More SameDiff fixes (#6979)

* Fix typo/build issue in CnnSentenceDataSetIterator

* Multiple fixes

* TensorArray fixes

* Small test fix

* Update dependencies to just released JavaCPP and JavaCV 1.4.4

* [WIP] Some libnd4j exec fixes (#6982)

* pad graph

* scatter_nd_update graph

* print out variable dtype

* correct pad op

* conv2d failure

* add basic test for scatter_nd_update op

* add important test for relu op

* Node scalar changes

* one test commented out

* Forgotten commit (#6983)

* pad graph

* scatter_nd_update graph

* print out variable dtype

* correct pad op

* conv2d failure

* add basic test for scatter_nd_update op

* add important test for relu op

* Node scalar changes

* bunch of fixes

* Fix excludes for libnd4j build artifacts (#6973)

Update assembly manifests (both for cpu and cuda backend)
to add excludes of googletest folder, CmakeCache.txt and
fix excludes for CmakeFiles.

* two compilation fixes (#6989)

* [WIP] TensorArray fixes (#6996)

* proper list ops names

* create_list fix

* - tensorarray graph + test
- bunch of tweaks/fixes for tensorarray

* - split_list graph + test + small tweak

* uncomment execution

* - bunch of small tweaks for tensorarray stuff
- couple of new graphs + tests

* [WIP] Misc DL4J/ND4J fixes (#6980)

* #6941 BaseDataSetIterator preprocessor fix

* #5594 KerasModelImport InputStream support

* #6948 Fix UTF-8 character issues

* Cleanup: SameDiffOpExecutioner (not used)

* Cleanup

* More cleanup

* Small fixes

* Multiple fixes

* More cleanup, more fixes

* Next round of cleanup and fixes

* Small fixes

* #6985 Vstack rank 1 edge case fix

* Delete OpFactory

* Misc fixes and cleanup

* Test fixes and more cleanup

* More cleanup

* Import cleanup

* Deprecate MultiLayerNetwork/ComputationGraph evalutaeRoc methods with defaults, to avoid usability issues

* TensorArray fixes (when created in SameDiff), execution control dep fixes, cleanup

* Small control dependency fix

* LogSigmoid fix

* Shyrma lock (#6998)

* provide additional bool argument for scatter and scatter_nd ops in order to be able switch on/off parallelization during computation

* shift lock statement to critical section

* scatter use_locking

* [WIP] few more fixes (#6999)

* broadcastable ops output for non-experimental build

* linspace mapped into LegacyRandomOp

* multi output exports

* - INDArray.toFlatArray fix for empty data type
- one more graph + test

* Update SerializableCSVParser copyright header (#6977)

* Builder properties (#6990)

* Added properties to layer Builders

* Added javadocs

* maven format

* missed one

* Fixes.  Moved to class-level @getter @Setter, custom setters use already-available validation

* license fix

* [WIP] More libnd4j exec tests (#7009)

* new op: evaluate_reduction_shape

* couple of tests for new op

* bunch of commented out tests re-enabled

* - axis handling for legacy reduce ops wrappers
- one more graph + test

* unsorted_segment_* tweaked for last argument optional source

* histogram tweaks

* more skips removed

* make lock argument (in scatter ops) behave in accordance to raver/alex conception (#7010)

* keras autogen docs license (#6997)

* keras autogen docs license

* add copyrights

* Update copyright headers for dl4j modules (#6918)

* Update copyright headers for arbiter

* Update copyright headers for deeplearning4j

* Update copyright headers for jumpy

* Update copyright headers for libnd4j

* [WIP] more small fixes (#7014)

* couple of ops declared for ci

* more tests activated

* bunch of small fixes

* Fix Spark how-to page config typo (#7016)

* [WIP] SameDiff TF import fixes (#7011)

* Properly support dynamic reduction indices in TF import

* Small ignored test update (now fixed)

* Update ignores

* Add ReductionShape

* SDVariable convenience methods

* #7001 Fix SameDiff pairwise distances calculation

* ReductionShape test

* few lines removed

* bargs

* BARGS propagation

* BArgs fixes

* Fix shape calculation in BaseReduceSameOp

* Add broadcast pow op; fix pow TF import

* Pow constructors, small cleanup of InferenceSession code duplication

* Update list of ignored tests - fixed and now passing

* Fix Relu6 import (scalar type)

* Update ignores list - details and now passing

* Make test zoo model location configurable

* 'n' constructors and init cleanup

* 'n' constructors and init cleanup - round 2

* 'n' constructors and init cleanup - round 3

* 'n' constructors and init cleanup - round 4

* 'n' constructors and init cleanup - round 5

* Fixes post cleanup

* Remove Nd4j.ENFORCE_NUMERICAL_STABILITY

* Distance op + test fixes

* Remove LocallyConnected1d debug code

* legacy reduce ops updated

* ND4S fixes given upstream change

* Re-enable one more passing test

* Small DL4J fixes

* [WIP] SameDiff loss functions backprop (#7020)

* Loss backprop: abs diff, cosine, hinge

* Next round of loss backprop methods

* Log level change

* Loss fix

* Add libnd4j exec to TFGraphTestZooModels

* get rid of TADs in gather op helper and make correction in process of output shape calculation (#7017)

* [WIP] More loss function implementation and tests (#7022)

* Loss fixes

* L2 loss backprop, tests, convenience methods

* Remove SoftmaxCrossEntropyWithLogits as mathematically the same as SoftmaxCrossEntropy (and not used for import)

* Sparse softmax cross entropy loss function + tests

* Re-add softmax cross entropy with logits (actually not identical behaviour to softmax cross entropy)

* Small cleanup

* Placeholders shape fix (#7025)

* PLACEHOLDER shape export

* PLACEHOLDER shape export

* small fix for null placeholder shape

* Update README.md

* Transpose fix

* [WIP] Various SameDiff/ND4J/DL4J Fixes (#7026)

* Small softmaxCrossEntropy datatype validation fix

* #5299 improve error message for invalid/missing placeholders

* #7007 remove legacy java execution BooleanIndexing methods

* #6030 Remove OpExecutioner.iterateOverAllRows/Columns

* Cleanup

* #6723 Linspace with dynamic args

* Small fixes

* #6668 Add ExtractImagePatches op (java)

* Fix for transpose import

* #7027 Fix compgraph vertex issues

* #6860 DataSet.detach() - inherit javadoc from inteface

* #6940 Remove NDArraiIndex.empty() / NDArrayIndexEmpty

* Small fixes give ND4J changes

* Small fixes

* Preconditions message fix

* Final tweak

* Fix loss function output assignment in reductions (#7031)

* Fix loss function output assignment in reductions

* Fix execution issue with while loops - enter ops use in multiple iterations (#7033)

* Partial fix for nested while loop case (#7035)

* Fix wrong derivative reference (#7037)

* Avoid manual array copy (#6924)

* [WIP] Multiple DL4J/ND4J fixes (#7047)

* #7032 CheckpointListener static methods

* #7024 Nd4j.exec convenience methods

* #6884 ND4J Cleanup

* #7029 Fix Iteration/Epoch termination condition JSON deserialization

* #6812 CenterLossOutputLayer default config fix

* Use Uri.toString() instead of getPath() in (Multi)DataSet export

* #6955 UNet configuration fix

* Re-enable passing LRN import tests

* [WIP] few execution issues (#7030)

* variable debugging

* bunch of fixes

* one special test

* one special test

* one special test

* java interop test

* mkldnn

* nd4j_eq

* mkldnn

* ceil gone

* apply alternative formula for ceil in case of integer argument

* Fixed deadlock in VocabConstructor (#7048)

* Fix for ParallelTokenization==false

* Intermediate changes

* Revert "Intermediate changes"

This reverts commit 2bf7794.

* Fixed not-parallel builder

* Fixed not-parallel builder

* Non-parallel execution moved to main thread

* [WIP] TF zoo model validation (#7052)

* TF zoo model validation - Mobilenet

* Resnet v2

* [WIP] Migrate JS/font etc dependencies to webjars (#7046)

* Migrate to webjars, pt1

* Migrate to webjars, pt2

* Migrate to webjars, pt3

* Migrate to webjars, pt4

* TSNE fixes, remove deeplearning4j-ui-resources

* Arbiter UI cleanup

* Arbiter UI cleanup

* More cleanup/fixes

* More cleanup

* More cleanup

* Font cleanup, pt1

* CSS and fonts cleanup

* Delet unused/old JS resources

* Fix DL4J UI model page (cytoscape)

* Fix DL4J UI model page (cytoscape)

* Small TSNE fix

* Remove debug logging from UI assets serving

* Final arbiter fix

* Update LICENSE for OpenCSV (#7015)

* Minor cmake change (#7058)

* cmall cmake tweak

* cmall cmake tweak

* Shugeo ops2 (#6711)

* LogSumExp op with custom ops.

* reduce_logsumexp. The first working revision.

* fake_quant_with_min_max_vars implementation. Initial version.

* Implementation for crop_and_resize op. Initial version.

* Added helper for fake_quant_with_min_max_vars op.

* Working merge.

* Implemented crop_and_resize helper.

* Added tests for resize_and_crop op.

* Implementation of helper. Next stage.

* fake_quant_with_min_max_vars op implementation. Added tests.

* Fixed scalar applying and new ops with types.

* Finished with fake_quant_with_min_max_vars op and tests.

* Finished with various image and quantization ops and tests.

* Fixed type bug with logsumexp op.

* Eliminate warning with ISO C++ create routine.

* [WIP] SameDiff Graph Visualization (#7057)

* Initial schemas

* Schema fixes

* Generate classes

* First draft

* Static info writing

* Event writing - name/scalars

* Move, clean up, javadoc

* Front end first steps

* More UI implementation

* Flatbuffers reading in JS

* Export graph variables/ops in LogFileWriter

* Basic graph rendering complete

* Add shape/datatype, regenerate using flatbuffers 1.10

* Recompile main classes with flatc 1.10.0

* Basic styling

* More fixes and style tweaks

* Add ignores to graph tests

* MmulHelper::mmulMxV: provide for input arrays continuous buffers when initially they have strided ones (#7061)

* [WIP] Aggregates gone (#7059)

* initial commit

* initial commit

* sg skeleton

* next step

* fix for #7051

* next step

* next step

* next step

* couple of tests

* back to configurable

* require inplace

* next step

* first test passes

* one more test

* ns test

* cbow

* missed arg

* temp commit

* next step

* small fix

* cbow sg numeric test passes

* cbow ns numeric test passes

* java time

* skipgramm java wrapper

* cbow java wrapper

* next step

* idx abs

* CBOW tests pass

* SG tests pass

* SameDiff graph visualization layout improvements (#7062)

* [WIP] Small ND4J fix, SameDiff graph visualization fixes/improvements (#7065)

* Control dopendencies, extra UI info

* No-arg constructors for CbowRound/SkipGramRound for reflections scanning

* More node info and better formatting to help debugging

* Remove bad layout options

* [WIP] SameDiff nested while execution fix (#7077)

* Track parent frames during SameDiff execution for nested loop/enter cases

* Check for existing element when adding to abstract session availableForExec

* Working towards a nested while fix

* SameDiff: Fix nested loop java execution

* Cleanup

* Remove debug class

* Small fix

* Add missing loss functions (#7042)

* Add gradient for hinge loss

* Add huber loss backprop

* Fix Poisson spelling

* Change input order for log_poisson_loss to match those of other loss functions

* Add Poisson Loss

* Add description on how optimized implementation of MPWSE is derived

* Initial implementation of MPWSE as defined in the paper

* Add gradient calculation for mean pairwise squared error loss

* Use new API in Datavec Data Image

* Fix ScalNet test using old API

Use argMax instead of directly calling OP

* [WIP] Misc issue fixes (#7085)

* #7084 SameDiff GradCheckUtil mask

* #7074 #7075 Add ROCBinary.getROC(int); Add ROCBinary.stats() AUPRC

* #7064 Fix DL4J UIServer (temporary) memory leak

* #6991 Validate invalid TBPTT + GlobalPooling/LastTimeStep

* #7068 DataType validation (and casts where required) for dropout

* fix reduction modes and misc issues (#7082)

* Fix reduction modes for Hinge Loss

* Fix reductions on huber loss

* Fix LogPoissonLoss reduction modes & full mode switching

* Update mean pairwise square error tests in libnd4j to match match those
in java land

Expected values are calculated using the nested loop method, as
implemented in LossOpValidation.java

* Use Gradient Check Mask in Loss OP Validation Tests for MEAN_BY_NONZERO_WEIGHT_COUNT

MEAN_BY_NONZERO_WEIGHT_COUNT is non differentiable for weight=0 so those
points have to be masked out.

* Add reduction mode support to MPWSE Loss

* fix gradient check numerical issues for softmax losses

* Fix calculation of weights gradient in cases where label smoothing is applied

* All LossOpValidation Tests are passing

* Fix build for Java 9, 10, and 11

* Remove deprecated method.

* Infer kernel size from weights if needed (#7098)

* Infer kernel size from weights if needed

If the kernel size isn't set, we can try inferring the proper sizes from the given weights.

Fixes #7008

* Fix expected weight gradient in softmax cross entropy test

Weight gradient calculation was changed in 65f2313.

* Fixed edge bug with unstack op and tests. (#7099)

* Remove incorrect copyright header from doc_generator.py

* [WIP] DL4J: L2/Weight decay (#7097)

* Add Regularization interface; add L2 and WeightDecay

* Support schedules in L2/WeightDecay

* L1 regularization; cleanup, JSON etc

* Regularization API change, round 1

* Regularization API change, round 2

* Regularization API change, round 3

* Fixes

* Multiple fixes

* Javadoc and additional builder/layer methods

* Handle passed-in 0.0 value for l1/l2/weight decay

* Improvements for config duplicate regularization checks; remove legacy batch scaled l2

* Legacy JSON format loading for regularization

* alignment fix + test

* order matters

* Test fixes; Add warning when removing L2 on WeightDecay addition and vice-versa

* Fixes + test fixes

* Small transfer learning fix

* avoid using exception workflow in cases where they are easily avoidable (#7106)

* ND4J Tests (#7060)

* #7054 Set default datatype in Zoo import tests

* Ignores for last remaining tests for CI

* Ignores for last remaining tests for CI

* Small TF import resource loading fix

* Temporarily disable failing test until PR merged

* Clean up test verbose mode config etc

* BaseNDArray.equals fix for compressed arrays

* Update cudnn-config.md (#6925)

* Update cudnn-config.md

* Update

The redist artifacts were not released for CUDA 9.0:
http://repo2.maven.org/maven2/org/bytedeco/javacpp-presets/cuda/9.0-7.0-1.4.1/

* Treat center like non-center on 1x1 images when resizing using resize_bilinear (#7111)

* [WIP] ND4J: a few more test fixes (#7113)

* Workaround for pullrows issue

* GSON fixes

* nd4j-tests-tensorflow fix

* Small dependency fix

* Updated serialization/deserialization for NLP (#7072)

* Vocabulary serialization

* Serialization

* Serialization

* Serialization

* test update

* test update

* test update

* In process

* minor tweaks

* minor tweaks

* In process

* In process

* Cleanup

* Cleanup

* Vectors serialization

* Added matrices to serializer

* Intermediate

* Rewritten serialization

* Intermediate

* Intermediate

* Intermediate

* flush

* layerSize fix

* Corrected version

* Cleanup

* [WIP] SameDiff TF import fixes (#7088)

* Apply styling to UI

* Cleanup and more styling

* POC for line chart rendering from flatbuffers data

* Non-max suppression op fixes

* TensorArrayRead: get datatype during import

* Various fixes for SSD import

* Handle TensorArrayWrite + enter edge case

* Fix slice op

* InferenceSession shape check

* Cleanup

* Make graph rendering more useful for debugging

* Basic search functionality, v1

* Search works

* Workaround for INDArray.get rank1/2 issue (#7092)

* Fix some of the broken layout issues

* Workaround for logged issues

* #7100 Clarify behaviour of SameDiff.execBackwards

* Another workaround for get issue; remove unnecessary Reshape op resolve properties method

* Fix calculateOutputShape handling of empty arrays

* Small InferenceSession fix; LogFileWriter histogram writing

* Reshape empty array fix

* UI tweaks

* Fix libnd4j gather op for scalar case; clean up test ignores + reenable one test

* Additional info in NativeOpExecutioner errors on failed op exec

* Fix issue with cast op of empty arrays returning scalar arrays

* Gather op: add support for empty indices array

* Gather fix, round 2

* Split op: add support for empty arrays for TF import compatibility

* Misc UI

* Nd4j.create(LongShapeDescriptor, boolean) check for empty shape info

* Small UI fixes

* Broadcastable ops: follow TF convensions for broadcasting with empty input array(s)

* Align concat op empty array handling with TF for import

* Fix LongShapeDescriptor.asDataType for empty arrays

* Gather empty array fix

* Small fixes

* UI dep fix

* Final fixes

* cpu compiles

* cuda compiles

* - disable asan for cuda/linux
- cuda_exception instead of runtime_error

* ExtraArgs for legacy wrapper
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