* - 1D indexing fix
- couple of new tests for 1D indexing
Signed-off-by: raver119 <raver119@gmail.com>
* percentile fix + test
Signed-off-by: raver119 <raver119@gmail.com>
* wrong signature used in test
Signed-off-by: raver119 <raver119@gmail.com>
* 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
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* alpha/beta fix in matmul_bp
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* restored view validation
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* gemv/gemm now use MatMul op
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* few tests fixed
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* additional INDArray.mmul signature
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* make C order default for INDArray.mmul, unless both A/B have F order
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* Nd4j.gemm validation fix
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* disable mkldnn matmul for xxf with beta != 0 case
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* SimpleRnn workspace fix + timeouts
Signed-off-by: Alex Black <blacka101@gmail.com>
* two more tests + minor fix in matmul platform check
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* 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>
* init in this branch
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* Lenetet Mnist workflow
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* small fix for calculations
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* for Alex to check placeholder null pointer issue
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* CNN3D workflow
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* state for launching on dxg to regenterate dl4j examples
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* SD RNN test case workflow
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* small fixes
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* 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
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* lstm mismatch with c++ op issue
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* LSTMLayer config draft
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* LSTMLayer config draft v2
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* have doubt I had to do this
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* NDRNN generated by codegen
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* LSTMLayerTestCases draft
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* minor fixes again
* added LSTMLayer testcases to nd4j-tests + setted Preconditions in LSTMLayer constructors
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* added lost SDCNNtestcases
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* overrided getNumOutputs from DynamicCustomOp in LSTMLayer and reorganized LSTMLayerOutputs according to cpp op
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* 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
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* More fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* minor fixes
Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>
* fixed LSTMLayer testcases
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* finished SameDiffRNNTestCase
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* finished all testcases + minor fixes
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* Multiple generation-related fixes
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* Fix multiple issues
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* More fixes
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* LSTM fixes
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* Regenerate ND4J namespaces and fix multiple issues
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* 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
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* Tweaks for test cases
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* 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>
* - correct reshape op for empty shape in case of -1 at the end
Signed-off-by: Yurii <iuriish@yahoo.com>
* Fix test + new reshape op constructor
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
* #8787 DataVec test fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* New nd4j test + fix bad datavec test
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* #8745 Fix flaky arbiter test
Signed-off-by: Alex Black <blacka101@gmail.com>
* One more test
Signed-off-by: Alex Black <blacka101@gmail.com>
* 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>
* #8777 MultiLayerNetwork.evaluate(MultiDataSetIterator) overload
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* #8768 SameDiff.equals
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* #8750 shade freemarker library and switch to it in DL4J UI
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* #8704 DL4J UI redirect
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* #8776 RecordReaderDataSetIterator builder collectMetaData fix
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* #8718 Fix DL4J doEvaluation metadata
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* #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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* 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>
* Fix interpreter for libnd4j tests and drop test script
* Remove mingw when specifying javacpp.platform, add new profile that triggers when javacpp.platform is windows-x86_64
* Update android 32 bit toolchain for x86
* Try triple instead of -target
* Change to -target
* Update 32 bit arm
* Change android bin path
* Update arm 32 bit build again
Co-authored-by: Adam Gibson <1144306+agibsonccc@users.noreply.github.com>
* libnd4j raw implementation of sgd upader
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j some corrections and simple test added
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j some corrections after discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j integrate applyScalar
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* libnd4j raw implementation of rmsPropUpdater on cpu
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* libnd4j fix operations declaration
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* libnd4j rmsPropUpdater added, test cases for sgd, etc
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* libnd4j fixed several typos
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* libnd4j some fixes and improvements for rmsPropUpdater based on Java tests
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* libnd4j fixed cuda implementation, update tests and corrected behavior according java tests
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* libnd4j adaGrad updater added
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* libnd4j one minor fix for ada grad
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* libnd4j several more fixes for ada_grad
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* libnd4j nesterovs updater added
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* libnd4j fixed nesterovs updater behavior, several typos and rename file
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* libnd4j one minor typo
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* libnd4j ada max updater added
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed several typos in adaMax updater
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* libnd4j fixed several typos in adaMaxUpdater
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* libnd4j several fixes for adaMax, added Adam Updater
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* libnd4j adaDeltaUpdater added, minor fixes for adamUpdater
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* libnd4j several fixes for adaDeltaUpdater
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* libnd4j nadamUpdater added
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* libnd4j one more correction for nadam updater
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* libnd4j several fixes for nadam updater and added amsGradUpdater
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j several typos fixed in amsGradUpdater
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* libnd4j some corrections and added f order support rmsProp updater
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* libnd4j added support of f order for all updaters and modify tests for testing in place
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* libnd4j fixed issues for updates when not in place mode used, added tests for f order
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* libnd4j added input shape checks
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* libnd4j some corrections for different cases handling
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j some code clean up and optimize per request
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* libnd4j updaters refactoring after review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* SgdUpdater wrapper
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* first test
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* RmsPropUpdater added
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* NadamUpdater + NesterovsUpdater
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* AmsGradUpdater
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* AdamUpdater added
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* AdaGradUpdater + AdaDeltaUpdater + AdaMaxUpdater
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* AdaGradUpdater test added
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* libnd4j remove input parameters parsing through NDArray, split implementation of helpers to separate files, added some rename, etc
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* libnd4j next step to split operations implementation into separate files
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* libnd4j merge master and minor corrections
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* libnd4j revert some changes of split implementation
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* libnd4j forgot to add header file
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* public default constructors
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* ImportClassMapping updated
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Co-authored-by: raver119 <raver119@gmail.com>
* #8682 Don't log openmp BLAS threads for CUDA
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8654 Add SameDiff multi-threaded tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Switching to op context for SameDiff exec
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* Next steps
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* Most back to passing
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Better tests, test refactoring
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* Code duplication reduction
Signed-off-by: Alex Black <blacka101@gmail.com>
* More code deduplication
Signed-off-by: Alex Black <blacka101@gmail.com>
* CUDA fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* More CUDA fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* More fixes
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* Small fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* ND4S small fixes
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* Fix cmake detection in msys
* Fix toolchain file on windows
* Make android 64 bit work
* Fix libnd4j build script on msys
* Update build script for windows/linux
* Encoding issue for ci
* Update pom.xml
* Update pom.xml
* Update pom.xml
* Remove mingw
* Ensure android x86 builds are inline with arm builds
* Update toolchains and env variables for x86
* Move profile for build program up to parent
* Fix blas vendor and add comment
* Update cuda presets version
* Set default value and move properties back to child pom
* Change program from hard coded to use the script as the program
* Update pom.xml
* Update pom.xml
* Static lib fix
* Update static lib output
* Get rid of old comments
* Update static for buiding
* Adding more datatypes support in datavec-python
* Using numpy C API for creating numpy arrays
* Adding parameterized tests
* Adding support for BFLOAT16 (by converting it to FLOAT)
* Cleanup
* Using casting instead of creating an array
* Giving out a warning while casting array from BFLOAT16 to FLOAT
* Add syncToPrimary and syncToSpecial methods to BaseDataBuffer
Signed-off-by: Alex Black <blacka101@gmail.com>
* Python exec: sync to host before passing pointers
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* Added copyright header
* use np api (#267)
* python exec / numpy - check object type before cast (#268)
* use np api
* verify object before cast
* fix cong
* cuda fix
* inplace test + tiny fix
* more test
* fix double alloc
* rem tags
* fix cuda check
* Fix implicit CUDA dependency in datavec-python tests; remove new method, add test
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Fariz Rahman <farizrahman4u@gmail.com>
* created NDImage.java and fixed constructor in AdjustContrast.java
* created NDImage.java and fixed constructor in AdjustContrast.java
* created NDImage.java and fixed constructor in AdjustContrast.java v2
* regenerated NDImage from cleaned Image,kt also cleaned AdjustContrast.java
* draft of NDCNN
* draft of NDCNN
* started NDRNN
* started NDRNN
* looking like finished with namespace
* Regenerate namespaces
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add ND4J namespace methods for new namespaces
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* Fixes, cleanup
Signed-off-by: Alex Black <blacka101@gmail.com>
* More fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Andrii Tuzhykov <andrew@unrealists.com>
Co-authored-by: Andrii Tuzhykov <andrew@konduit.ai>
Co-authored-by: AlexDBlack <blacka101@gmail.com>
* Revive and start updating DL4J integration tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* 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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* codegen for SDLoss. WIP.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* first pass of SDLoss.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* wip. Firsat cut of new op constructors. UNTESTED , NOT COMPILED YET.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* updated op signatures.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* add NDLoss tests.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* fix test.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* adds loss default params. factory.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Regenerate NDLoss
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* adds tests for null weights.
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
* Last few tweaks
Signed-off-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Robert Altena <Rob@Ra-ai.com>
* Add check to ensure ALL tests extend BaseND4JTest for proper timeouts + logging
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add 'must extend BaseDL4JTest' check for deeplearning4j-core
Signed-off-by: Alex Black <blacka101@gmail.com>
* Flush logging on workspace exit during tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add Maven profiles for ARM builds to pom.xml files
Signed-off-by: Samuel Audet <samuel.audet@gmail.com>
* Remove mkl from dependencies when running on non intel/amd platforms
* Downgrade openblas for now
* Change back to 0.3.8
Co-authored-by: Adam Gibson <1144306+agibsonccc@users.noreply.github.com>
* initial set of include changes
Signed-off-by: raver119 <raver119@gmail.com>
* one more tweak
Signed-off-by: raver119 <raver119@gmail.com>
* few more rearrangements
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* few more rearrangements
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* few more rearrangements
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* cuda includes rearrangements
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* java update
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* = namespace changed to sd
- few CMake variables renamed with SD_ prefix
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* java update
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* LoopKind minor fix
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* few more changes
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* few more changes
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* few more changes
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* sanitizer is optional now
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* dev tests updated
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* few more changes
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* last update
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* java update
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* #8565 Normalizer toString/hashcode
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8731 ImagePreProcessingScaler lables/segmentation fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8691 Fix SameDiffLayer/Vertx finetuning and parameter setting support
Signed-off-by: Alex Black <blacka101@gmail.com>
* #8663 DL4J embedding layer weight init - don't depend on vocab size
Signed-off-by: Alex Black <blacka101@gmail.com>
* EmbeddingLayer test tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* - profiling of concat op (both cuda and cpu)
Signed-off-by: Yurii <iuriish@yahoo.com>
* better comparison for large concat
Signed-off-by: raver119 <raver119@gmail.com>
* - further improving of concat op
Signed-off-by: Yurii <iuriish@yahoo.com>
* some loggin
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* - add possibility to verify presence of trailing unities in shape and set strides/ews correspondingly
- restrict second simple case in concat op to c order only
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* - move concat op to specials_single.cpp file
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* - get rid of second concat op declaration in transforms.cpp file
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
* Libnd4j: TensorMMul backprop op #8174, raw implementation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 merge master and some corrections
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 algorithm update, need testing, sync with master
* Libnd4j: TensorMMul backprop op #8174 fixed incorrect B axes calculation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 optimize axes identification and fix bug of indeces overlapping, added first test. need testing with different shapes
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 some fixes and improvements need more testing
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* Libnd4j: TensorMMul backprop op #8174 fixed order of matrix multiply
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed issue of incorrect axes definition, add tests based on TF, need additional testing for case dLdC not equal 1
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed scalar case add test
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 fixed bp algorithm, axes definition, need some mode testing with different orders combination f,c; c,f f,f and add some checks for inputs
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: TensorMMul backprop op #8174 some checks and corrections added tests, exists the problem with different input orders support A-f B-c and A-f B-f
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* Libnd4j: TensorMMul backprop op #8174 sync master
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* - correct bug in MmulHelper::tensorDot(a, b, c, axes_a, axes_b,permutForC)
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* Libnd4j: TensorMMul backprop op #8174 code clean up and refactoring
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* - add check for linspase ordered permutations in ShapeUtils::evalShapeForTensorDot
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* - provide additional code in shape::reshape stuff in order to reduce amount of allocation/copy operations during reshaping procedure
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* - further work on problem of wrong shape evaluation during permute/reshape procedures
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* - still looking for bug reason in reshape/permute stuff
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* - correct bug in transform cuda native ops
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* - correct bug in NDArray::assign
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* - remove old shape::reshape stuff
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* - add possibility to disable copy of old buffer to new buffer during reshape operation in NDArray class
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* - correct bug in tensorDot which had to do with wrong pointers assigments
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: Oleh <oleg.semeniv@gmail.com>
* Gradients tests added
* Fix for Standard deviation serialization + test
Signed-off-by: Alex Black <blacka101@gmail.com>
* More fixes
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* Test fixed
* Spark config driver host config for CI
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* Op validation timeout increase
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* Gradient check - fix for low probability test failure due to randomly all 0s mask
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Co-authored-by: Alex Black <blacka101@gmail.com>
* special workaround methods for DataBuffer.write
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* one test removed
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* more of unsynced
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* missing asLong for BaseCudaDataBuffer
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* linear equations systems solve op. Initial commit.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed compiling issues.
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* Linear equations systems solve. The next stage commit.
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* Added test for linear equations systems solve operation.
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* Added additional test and fixed lower matrix retrievance.
* Implementation for solve of the systems of linear equations."
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* Refactored permutation generation.
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* Added restore for permutations batched with cuda helper for solve op.
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* Finished cuda implementation for solve op helpers.
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* Refactored cpu helpers for solve op.
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* Fix gtest output on Windows
* Fixed issue with permutation matrix for cuda implementation.
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* Fixed issue with permutation matrix for cpu implementation.
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* Eliminated waste comments.
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* LinearSolve added
* Mapping added
* Javadoc added
* Refactored implementation of triangular_solve helpers and tests for solve matrix equations generally.
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* Added a test for solve op.
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* Solve test added
* Fix for TF import
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* - range op now accepts dargs
- dargs now can be in signature
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* range dtype java side
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* linspace fix
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* lin_space fix for scalar outputs
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* initial commit
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* - one more test for OneHot with dtype
- one more signature in Nd4j
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* ones_as/zeros_as now accept dtype
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* one more test
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* - more updates for configurable data types
- ones_as/zeros_as java side + tests
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* few c++ tests fixed
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* few more changes around DArgs
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* Cleanup modules
* Moving subprojects to nd4j-api
* Project cleanup
* Dropped AWS sub-project
* dl4j-util moved to core
* dl4j-perf moved to core
* Tests coverage
* Revert "Moving subprojects to nd4j-api"
This reverts commit bc6eb573c6b60c407ade47172c5d204725077e6b.
* Moved nd4j-buffer and nd4j-context to nd4j-api
* Rolled back change
* Revert "Project cleanup"
This reverts commit 64ac7f369b2d968f7be437718034f093fc886ffc.
* Datavec cleaned up
* Revert "Moved nd4j-buffer and nd4j-context to nd4j-api"
This reverts commit 75f4e8da80d2551e44e1251dd6c5923289fff8e1.
# Conflicts:
# nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/ReductionBpOpValidation.java
* Resolve conflict
* Compilation fixed.
* nd4j-context and nd4j-buffer moved to nd4j-api
* Fixed TF mapping for mmul
* Fix for dl4j-cuda tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Move last few tests from deeplearning4j-nn to -core
Signed-off-by: Alex Black <blacka101@gmail.com>
* Remove incorrect TF import mapping for TensorMmul op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Cleaned TF mapping
* Fix path for test results on windows
* Remove old dependency
Signed-off-by: Alex Black <blacka101@gmail.com>
* One more attempt to fix path for test results on windows
* fixup! One more attempt to fix path for test results on windows
* fixup! One more attempt to fix path for test results on windows
Co-authored-by: Alex Black <blacka101@gmail.com>
Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
Co-authored-by: raver119 <raver119@gmail.com>
* missing alloc validation in RandomGenerator for CUDA
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* set error message if rng alloc failed
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* check for error code during RNG creation in java
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* nd4j-aeron profiles
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* nd4j-aeron profiles
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* skip one long test
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* skip one long test
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* kryo profile
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* few more profiles
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* few more profiles
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* few more profiles
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* 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
Signed-off-by: Alex Black <blacka101@gmail.com>
* More test fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest
Signed-off-by: Alex Black <blacka101@gmail.com>
* nd4j-aeron test profile fix for CUDA
Signed-off-by: Alex Black <blacka101@gmail.com>
* Added qr op implementation. Initial version.
* Fixed doc for qr op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation of QR decomposition. CPU platform version.
* Added a pair of tests for qr op testing.
Signed-off-by: shugeo <sgazeos@gmail.com>
* QR implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected norm using.
* Properly calculated intermediate results with QR decomposition.
* Another step to implement QR algorithm by householder.
* Cpu implementatio for QR decomposition. The first working edition.
* Corrected test to QR decomposition.
* Added tad multithreading with QR implementation.
* Finished cpu implementation for QR decomposition helpers.
* Refactored tests and improved multithreading.
* Refactored QR cpu implementation and update cuda implementation helpers.
* Cuda QR helper implementation. The first working edition.
* Eliminated waste prints.
* Restore multithreading with cuda implementation.
* Ops names corrected
* Refactored qr op helpers to optimize.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Eliminated waste manual ticking.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored memory allocation to avoid waste memory usage.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored matrixMinor method both for cuda and cpu platforms.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored method of vmul to use raw buffers instead type conversion.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored temporary array of matricies.
Signed-off-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
Co-authored-by: raver119 <raver119@gmail.com>
* Added implementation of the triangular_solve op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed compilation issues.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added verification of input data and helpers facilities for triangular_solve op.'
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added cpu implementation for triangular_solve helpers.
* Added tests and implementation for upper triangular equations.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added a pair of cases to tests.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added multithreading with cpu helpers for triangular_solve op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added cuda implementation of triangular_solve op helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Finished cuda implementation of triangular_solve helpers and tests.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed copyright marks.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected grammar errors with doc and error messages.
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* Refactored matricies processing with triangular_solve cuda helper implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added triangular_solve wrapper
* Fixed mapping
* Added processing for adjoint with cpu helpers of triangular_solve op implementation.
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* Added implementation for adjoint routine with cuda platform.
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* Added multithreading with adjoint routine for cpu platform.
Signed-off-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Added implementation for resize_area op. Initial commit.
* Added implementation of resize_area op. Initial revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected resizeArea functor call.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation of resize_area. Cpu platform helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation for resize_area helpers. The first part revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added a set of tests for resize_area op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Cuda implementation for resize_area. Initial approach.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Adding multithreading for resize_area algorithm.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Cuda implementation of resize_area helpers. Shared memory approach.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored resizeAreaKernel with cuda implementation.
* Eliminated compilation errors.
* ResizeArea helpers for cuda platform. The first working revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added test for batched resize_area op testing.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation of resize_are for cuda platform and tests.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed multithreading with resize_area op helper.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected copyright marks with sources.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected copyright mark for resize_area op implementation.
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* Corrected copyright mark for parity ops header.
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* Corrected typo in strings and so on with image resize ops.
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* Refactored resize_area helpers and multithreading.
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* Added ResizeArea wrapper
* Added test with align_corners and fixed shape processing with only int args given for output size.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added test
* TF mapping for ResizeArea
* Fixed implementation issues with resize_area op for both platforms.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored image resizer struct to use flexible types for ints and floats.
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* Improved multithreading with resizeAreaKernel launch.
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* Use asynchronical memory copying with cuda platform image resize allocations.
Signed-off-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* initial commit
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* one file
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* few more includes
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* m?
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* const
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* cudnn linkage in tests
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* culibos
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* static reminder
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* platform engine tag
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* HAVE_CUDNN moved to config.h.in
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* include
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* include
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* skip cudnn handle creation if there's not cudnn
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* meh
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* target device in context
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* platform engines
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* platform engines
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* allow multiple -h args
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* allow multiple -h args
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* move mkldnn out of CPU block
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* link to mkldnn on cuda
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* less prints
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* minor tweaks
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* next step
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* conv2d NCHW draft
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* conv2d biasAdd
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* test for MKL/CUDNN combined use
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* - provide additional code for conv2d ff based on cudnn api, not tested yet
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* - further work on conv2d helper based on using cudnn api
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* - fixing several cuda bugs which appeared after cudnn lib had been started to use
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* - implementation of conv2d backprop op based on cudnn api
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* - implementaion of conv3d and conv3d_bp ops based on cudnn api
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* - bugs fixing in conv3d/conv3d_bp ops (cudnn in use)
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* - implementation of depthwiseConv2d (ff/bp) op based on cudnn api
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* - implementation of batchnorm ff op based on cudnn api
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* - disable cudnn batchnorm temporary
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* - add minor change in cmake
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* engine for depthwise mkldnn
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* couple of includes
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* - provide permutation to cudnn batchnorm ff when format is NHWC
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* lgamma fix
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* - eliminate memory leak in two tests
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* Libnd4j: Add broadcastable elementwise power derivative #7461 first step of Pow_bp operation implementation
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* Libnd4j: Add broadcastable elementwise power derivative #7461 some corrections of calculation steps
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* Libnd4j: Add broadcastable elementwise power derivative #7461 some bug fixes, the PowDerevative op made broadcastable, add the raw tests for op, need refactoring to use broadcast ops
* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed several bugs add broadcast support and tests, need to fix scalar+array and array+scalar
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed bugs for scalar inputs, fixed multinomial tests, added tests
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 fised bugs for different shapes support, tests updated
* Libnd4j: Add broadcastable elementwise power derivative #7461 applied all possible variants via tiled arrays, add support of broadcast for Pow and PowDerivative ops, covered by tests, before review have to be replaced tiled implementation by applyTrueBroadcast
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 replaced tile by broadcast implementation, fixed issue with negative x input, corrected tests, need additional testing
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 added and corrected test cases, corrected implementation need review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up
* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up, removed some tests, add tests with scalar
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 code improvement and clean up, split tests
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 some code clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative replace __isnanf by internal realization
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* pow_bp wrapper
* Fixed PowBp wrapper
* Tests added
* Test fixed
* Fix return type
* Disable powBp usage
* Pow backprop changed
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff exec: Fix for switch op when predicate is constant, and op is inside loop
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Update ignores for failing zoo models
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #8555 SameDiff profiler analysis improvements
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix TF sub-op aggregation
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small filtering tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* Copyright headers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Allow scalar op result array auto allocation
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Don't swallow underlying exception for calculateOutputShape execution failures
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ignore for known keras failure
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Profiler
Signed-off-by: Alex Black <blacka101@gmail.com>
* Next steps, polishing, and loading SD/TF format JSON
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Next steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Profile comparison method
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Make profiling result writing async to reduce main thread overhead
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Profiling polishing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Profile analyzer fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Polish
Signed-off-by: Alex Black <blacka101@gmail.com>
* Cleanup
Signed-off-by: Alex Black <blacka101@gmail.com>
* Small formatting improvement
Signed-off-by: Alex Black <blacka101@gmail.com>
* Formatting tweak
Signed-off-by: Alex Black <blacka101@gmail.com>
* License headers
Signed-off-by: Alex Black <blacka101@gmail.com>
* Timeouts added
* Added some ops
* Ops added
* Fixed tests
* Minor fix
* Some fixes
* Digamma added
* Small fixes
* Timeouts added
* Added some ops
* Ops added
* Fixed tests
* Minor fix
* Some fixes
* Digamma added
* Small fixes
* Fused batch norm fixes-
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests switched off.
* Added test for resize_bicubic.
* Eliminated wasted in test of bicubic resize.
* Switched off multithreading explicit.
* HsvToRgb and RgbToHsv added
* Eliminated waste comments and conform proper float constants.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed multithreading with resize_bicubic helper for cpu platform.
Signed-off-by: shugeo <sgazeos@gmail.com>
* ResizeBicubic was fixed.
* Some fixes
* Fix op name
* Validation fixed.
* Clarifications for tests
* Wrappers and small fixes for new ops.
* Add op counting to TensorFlowImportValidator
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Test tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* resize_bicubic: allow more dtypes
Signed-off-by: raver119 <raver119@gmail.com>
* resize_bicubic: allow less dtypes
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored resize_bicubic op to full conform with TF1.5 and tests.
* Corrected test to proper data type output.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected double input test to float constant outputs.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Finished with correction of tests for bicubic interpolated resizes expected.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed adjust_contrast ops to allow non-RGB inputs.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored adjust_contrast_v2 to conform with TF one.
Signed-off-by: shugeo <sgazeos@gmail.com>
* AdjustContrast tests activated
* two typos fixed
Signed-off-by: raver119 <raver119@gmail.com>
* cleaned up bert iterator tests (#110)
Signed-off-by: eraly <susan.eraly@gmail.com>
* Various pre-release fixes (#111)
* Various fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix default dtypes for MaxPoolWithArgmax
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small pre-release tweak (#112)
* Log UI address on launch as in previous Play-based UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Logging level tweak for UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* http not https
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* datavec python ensure host (#113)
* ensure host
* one more host ensure
* info->debug
* [WIP] reverse improvements (#115)
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* reverse draft
Signed-off-by: raver119 <raver119@gmail.com>
* reverse kernel
Signed-off-by: raver119 <raver119@gmail.com>
* reverse kernel
Signed-off-by: raver119 <raver119@gmail.com>
* 2 micro fixes
Signed-off-by: raver119 <raver119@gmail.com>
* Shugeo resize fix5 (#102)
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
Signed-off-by: raver119 <raver119@gmail.com>
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