Commit Graph

63 Commits (8944e5f67fcbef46f1759715dc8b82b1007bff79)

Author SHA1 Message Date
raver119 3ba616a161
[WIP] Java wrappers (#126)
* shift/rshift/rotl/rotr java/sd wrappers

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* few additional wrappers

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* minor naming tweak

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2019-08-16 13:14:26 +03:00
Robert Altena 7fbc4b0933 Nd4j refactoring (last one!) (#123)
* fix: IOException no longer thrown by read().

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* refactoring

* last refactorings

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-16 16:39:11 +10:00
raver119 2f3d7330ce
[WIP] build fix (#124)
* AffinityManager changes

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* build fixes

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2019-08-16 08:14:18 +03:00
Alex Black 65ff18383a
InferenceSession additional validation for shape calc (#122)
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2019-08-16 14:19:06 +10:00
raver119 935cbf5df3 fix test
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2019-08-15 18:19:24 +03:00
Robert Altena 59cba587f4
Nd4j refactoring (#112)
* refactoring

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* wip

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* wip

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* wip

* fix: make test public.

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* make test public.

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* fixes read refactoring.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-15 13:50:52 +09:00
raver119 53ca9a76e8
[WIP] multi-device support (#80)
* fix pad javadoc and @see links. (#72)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* [WIP] More fixes (#73)

* special tests for ConstantTadHelper/ConstantShapeHelper

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* release methods for data buffers

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* delete temporary buffer Java side

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* delete temporary buffer Java side

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* delete temporary TadPack C++/Java side (#74)

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* Zoo model TF import test updates (#75)

* argLine fix, update compression_gru comment

* updated comment for xception

* undid but commented argLine change

* updated xlnet comment

* copyright headers

* - new NDArray methods like()/ulike() (#77)

- fix for depthwise_conv2d_bp + special test

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* upsampling2d fix CUDA

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* DL4J trace logging (#79)

* MLN/CG trace logging for debugging

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* Tiny tweak

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* strided_slice_bp shape fn leak fix

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* SameDiff fixes and naming (#78)

* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching

* initial commit

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* initial commit

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* fix javadoc. (#76)

* fix javadoc.

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* replace most @see with @link s.

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* 4 additional tests

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* launch context reorganization

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* LaunchContext reorganization

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* per-device LaunchContext

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* Various DL4J/ND4J fixes (#81)

* #7954 Force refresh of UI when switching tabs on overview page

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* #8017 Concurrent modification exception (synchronize) fix

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* #8033 Don't initialize updater in middle of writing memory crash dump

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* #8208 Fix shape checks for ND4J int[] creator methods

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* #6385 #7992 Keras import naming fixes + cleanup

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* #8016 Upsampling3D - add NDHWC format support

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* ContextBuffers as separate entity

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* Refactor NativeOps.h to export C functions

* Actually export functions from NativeOps.h

* Adapt the Java wrappers in ND4J generated with JavaCPP

* Create C wrappers for some of the C++ classes currently used by ND4J

* ContextBuffers as separate entity

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* remove duplicate code in createBufferDetached. (#83)

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* Keras model import - updater lr fix (#84)

* Keras model import - updater lr fix

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* Keras model import - updater lr fix, cleanup

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* ContextBuffers as separate entity

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* ContextBuffers as separate entity

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* Fix functions of OpaqueVariablesSet

* thread-local buffers/affinity

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* thread safety for LaunchContext

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* more of thread safety

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* one more multi threaded test

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* SameDiff Convolution Config validation, better output methods (#82)

* Conv Config validation & tests

Signed-off-by: Ryan Nett <rnett@skymind.io>

* stackOutputs utility method

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* use constructor for validation, support negative kernel sizes (infered from weights)

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* better output methods

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* move output to be with fit and evaluate

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* fixes

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* more fixes

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* refactor duplicate code from pad methods. (#86)

* refactor duplicate code from pad methods.

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* replace switch with if.

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* Various ND4J/DL4J fixes and improvements (#87)

* Reshape and reallocate - small fixes

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* Reshape and reallocate - small fixes

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* #6488 ElementWiseVertex broadcast support

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* Constructors and broadcast supported it Transforms.max/min

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* #8054 ElementWiseVertex now supports broadcast inputs

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* #8057 Nd4j.create overload dtype fix

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* #7551 ND4J Shape validation fix

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* [WIP] Numpy boolean import (#91)

* numpy bool type

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* numpy bool java side

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* remove create method with unused parameter. (#89)

* remove create method with unused parameter.

* removed more unused methods.

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* removing more unused code.

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* last removal of unused code.

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* remove createSparse methods. (#92)

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* Various ND4J/DL4J fixes (#90)

* Deprecate Old*Op instances

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* #8063 #8054 Broadcast exceptions + cleanup inplace ops

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* Small fix

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* Remove bad test condition

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* #7993 Fix shape function issue in crop_and_resize op

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* DL4J SameDiff lambda layer fix

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* #8029 Fix for pnorm backprop math

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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)

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* createUninitializedDetached refactoring. (#94)

* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

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* createUninitializedDetached refactored.

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* cuda build fix for issues introduced by recent refactoring

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* [WIP] More of CUDA (#95)

* initial commit

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* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

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* - remove old test for batch_to_space (had wrong format and numbers were not checked)

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* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

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* Added test for concat.

* comment unnecessary stuff in s_t_b

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* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

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* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

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* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

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* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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* Fixed axpy op.

* meh

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* - fix tests for nativeOps::concat

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* sequential transform/scalar

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* allow nested parallelism

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* assign_bp leak fix

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* block setRNG fix

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* enable parallelism by default

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* enable nested parallelism by default

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* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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* - some tests fixes

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* - correct the rest of reduce_ stuff

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* - further correction of reduce_ stuff

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* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

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* - provide cuda kernel for gatherND operation

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* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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* minor tests tweaks

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* - further correction of cuda stuff

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* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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* - get rid of concat op call, use instead direct concat helper call

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* lstmBlockCell context fix

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* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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* operator * result shape fix

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* - correct typo in lstmCell

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* few tests fixed

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* CUDA inverse broadcast bool fix

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* disable MMAP test for CUDA

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* BooleanOp syncToDevice

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* meh

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* additional data types for im2col/col2im

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* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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* mmulDot tests fixed

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* more tests fixed

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* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

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* Eliminate cbow crach.

* more tests fixed

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* more tests fixed

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* Eliminated abortion with batched nlp test.

* more tests fixed

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* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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* scalar operators fix: missing registerSpecialUse call

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* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

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* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

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* build fix

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* exclude two methods for JNI

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* exclude two methods for JNI

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* exclude two methods for JNI (#97)

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* temporary stack fix

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* round robin affinity test

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* get rid of legacy CudaContext methods

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* get rid of legacy ContextPool classes/methods

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* one legacy test removed

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* few more fields rearranged

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* OpaqueLaunchContext

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* OpaqueLaunchContext++

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* more of OpaqueLaunchContext methods

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* LaunchContext -> CudaContext

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* AffinityManger changes

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* AffinityManger changes

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* cusolver handles

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* typo

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* cusolver method

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* cusolver handle propagated

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* blas/solver handles

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* one more test

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* legacy concat implementations replaced with new CustomOp

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* one more test

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* concat now uses way more blocks

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* print

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* no more triple template mmul

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* bunch of kernels have dtypes reconsidered

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* bunch of kernels have dtypes reconsidered

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* bitonic sort reorganized

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* bunch of cpu stuff removed from cuda scope

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* bunch of cpu stuff removed from cuda scope

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* type conversions moved to generic impl

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* cpu data types pass

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* non_max_suppression

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* sortByValue fix

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* ignore all mixed datatype tests for mmul

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* special handling of OpProfiler exceptions

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* - one failing concat test in cpp
- Nd4j.tile now uses op internally

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* get back dtype exception for legacy arrays deserialization

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2019-08-14 16:52:34 +03:00
raver119 ec847e034b
[WIP] Remote inference (#96)
* fix pad javadoc and @see links. (#72)

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* [WIP] More fixes (#73)

* special tests for ConstantTadHelper/ConstantShapeHelper

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* release methods for data buffers

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* delete temporary buffer Java side

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* delete temporary buffer Java side

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* delete temporary TadPack C++/Java side (#74)

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* Zoo model TF import test updates (#75)

* argLine fix, update compression_gru comment

* updated comment for xception

* undid but commented argLine change

* updated xlnet comment

* copyright headers

* - new NDArray methods like()/ulike() (#77)

- fix for depthwise_conv2d_bp + special test

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

* upsampling2d fix CUDA

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* DL4J trace logging (#79)

* MLN/CG trace logging for debugging

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

* Tiny tweak

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

* strided_slice_bp shape fn leak fix

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

* SameDiff fixes and naming (#78)

* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching

* fix javadoc. (#76)

* fix javadoc.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* replace most @see with @link s.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* 4 additional tests

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

* Various DL4J/ND4J fixes (#81)

* #7954 Force refresh of UI when switching tabs on overview page

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

* #8017 Concurrent modification exception (synchronize) fix

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

* #8033 Don't initialize updater in middle of writing memory crash dump

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

* #8208 Fix shape checks for ND4J int[] creator methods

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

* #6385 #7992 Keras import naming fixes + cleanup

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* #8016 Upsampling3D - add NDHWC format support

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* Refactor NativeOps.h to export C functions

* Actually export functions from NativeOps.h

* Adapt the Java wrappers in ND4J generated with JavaCPP

* Create C wrappers for some of the C++ classes currently used by ND4J

* remove duplicate code in createBufferDetached. (#83)

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* Keras model import - updater lr fix (#84)

* Keras model import - updater lr fix

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* Keras model import - updater lr fix, cleanup

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* Fix functions of OpaqueVariablesSet

* SameDiff Convolution Config validation, better output methods (#82)

* Conv Config validation & tests

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* stackOutputs utility method

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* use constructor for validation, support negative kernel sizes (infered from weights)

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* better output methods

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* move output to be with fit and evaluate

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* fixes

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* more fixes

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* refactor duplicate code from pad methods. (#86)

* refactor duplicate code from pad methods.

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* replace switch with if.

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* Various ND4J/DL4J fixes and improvements (#87)

* Reshape and reallocate - small fixes

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* Reshape and reallocate - small fixes

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* #6488 ElementWiseVertex broadcast support

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* Constructors and broadcast supported it Transforms.max/min

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* #8054 ElementWiseVertex now supports broadcast inputs

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* #8057 Nd4j.create overload dtype fix

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* #7551 ND4J Shape validation fix

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* [WIP] Numpy boolean import (#91)

* numpy bool type

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* numpy bool java side

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* remove create method with unused parameter. (#89)

* remove create method with unused parameter.

* removed more unused methods.

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* removing more unused code.

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* last removal of unused code.

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* remove createSparse methods. (#92)

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* Various ND4J/DL4J fixes (#90)

* Deprecate Old*Op instances

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* #8063 #8054 Broadcast exceptions + cleanup inplace ops

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* Small fix

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* Remove bad test condition

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* #7993 Fix shape function issue in crop_and_resize op

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* DL4J SameDiff lambda layer fix

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* #8029 Fix for pnorm backprop math

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* #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)

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* createUninitializedDetached refactoring. (#94)

* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

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* createUninitializedDetached refactored.

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* cuda build fix for issues introduced by recent refactoring

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* initial commit

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* deps tweaks

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* initial prototype

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* modules reorganized

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* gprc module moved to nd4j-remote as well

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* gprc module moved to nd4j-remote as well

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* serving prototype

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* serving prototype

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* serving prototype

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* serving prototype

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* [WIP] More of CUDA (#95)

* initial commit

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* Implementation of hashcode cuda helper. Working edition.

* Fixed parallel test input arangements.

* Fixed tests for hashcode op.

* Fixed shape calculation for image:crop_and_resize op and test.

* NativeOps tests. Initial test suite.

* Added tests for indexReduce methods.

* Added test on execBroadcast with NDArray as dimensions.

* Added test on execBroadcastBool with NDArray as dimensions.

* Added tests on execPairwiseTransform and execPairwiseTransofrmBool.

* Added tests for execReduce with scalar results.

* Added reduce tests for non-empty dims array.

* Added tests for reduce3.

* Added tests for execScalar.

* Added tests for execSummaryStats.

* - provide cpu/cuda code for batch_to_space
- testing it

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* - remove old test for batch_to_space (had wrong format and numbers were not checked)

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* Fixed complilation errors with test.

* Added test for execTransformFloat.

* Added test for execTransformSame.

* Added test for execTransformBool.

* Added test for execTransformStrict.

* Added tests for execScalar/execScalarBool with TADs.

* Added test for flatten.

* - provide cpu/cuda code for space_to_Batch operaion

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* Added test for concat.

* comment unnecessary stuff in s_t_b

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* Added test for specialConcat.

* Added tests for memcpy/set routines.

* Fixed pullRow cuda test.

* Added pullRow test.

* Added average test.

* - correct typo in NDArray::applyPairwiseTransform(nd4j::pairwise::BoolOps op...)

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* - debugging and fixing cuda tests in JavaInteropTests file

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* - correct some tests

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* Added test for shuffle.

* Fixed ops declarations.

* Restored omp and added shuffle test.

* Added convertTypes test.

* Added tests for execRandom. Eliminated usage of RandomBuffer with NativeOps.

* Added sort tests.

* Added tests for execCustomOp.

* - further debuging and fixing tests terminated with crash

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* Added tests for calculateOutputShapes.

* Addded Benchmarks test.

* Commented benchmark tests.

* change assertion

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* Added tests for apply_sgd op. Added cpu helper for that op.

* Implement cuda helper for aplly_sgd op. Fixed tests for NativeOps.

* Added test for assign broadcastable.

* Added tests for assign_bp op.

* Added tests for axpy op.

* - assign/execScalar/execTransformAny signature change
- minor test fix

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* Fixed axpy op.

* meh

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* - fix tests for nativeOps::concat

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* sequential transform/scalar

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* allow nested parallelism

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* assign_bp leak fix

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* block setRNG fix

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* enable parallelism by default

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* enable nested parallelism by default

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* Added cuda implementation for row_count helper.

* Added implementation for tnse gains op helper.

* - take into account possible situations when input arrays are empty in reduce_ cuda stuff

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* Implemented tsne/edge_forces op cuda-based helper. Parallelized cpu-based helper for edge_forces.

* Added kernel for tsne/symmetrized op heleper.

* Implementation of tsne/symmetrized op cuda helper. Working edition.

* Eliminated waste printfs.

* Added test for broadcastgradientargs op.

* host-only fallback for empty reduce float

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* - some tests fixes

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* - correct the rest of reduce_ stuff

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* - further correction of reduce_ stuff

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* Added test for Cbow op. Also added cuda implementation for cbow helpers.

* - improve code of stack operation for scalar case

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* - provide cuda kernel for gatherND operation

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* Implementation of cbow helpers with cuda kernels.

* minor tests tweaks

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* minor tests tweaks

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* - further correction of cuda stuff

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* Implementatation of cbow op helper with cuda kernels. Working edition.

* Skip random testing for cudablas case.

* lstmBlockCell context fix

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* Added tests for ELU and ELU_BP ops.

* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.

* Added tests for neq_scalar.

* Added test for noop.

* - further work on clipbynorm_bp

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* - get rid of concat op call, use instead direct concat helper call

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* lstmBlockCell context fix

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* Added tests for lrelu and lrelu_bp.

* Added tests for selu and selu_bp.

* Fixed lrelu derivative helpers.

* - some corrections in lstm

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* operator * result shape fix

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* - correct typo in lstmCell

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* few tests fixed

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* CUDA inverse broadcast bool fix

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* disable MMAP test for CUDA

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* BooleanOp syncToDevice

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* meh

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* additional data types for im2col/col2im

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* Added test for firas_sparse op.

* one more RandomBuffer test excluded

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* Added tests for flatten op.

* Added test for Floor op.

* bunch of tests fixed

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* mmulDot tests fixed

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* more tests fixed

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* Implemented floordiv_bp op and tests.

* Fixed scalar case with cuda implementation for bds.

* - work on cuda kernel for clip_by_norm backprop op is completed

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* Eliminate cbow crach.

* more tests fixed

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* more tests fixed

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* Eliminated abortion with batched nlp test.

* more tests fixed

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* Fixed shared flag initializing.

* disabled bunch of cpu workspaces tests

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* scalar operators fix: missing registerSpecialUse call

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* Fixed logdet for cuda and tests.

* - correct clipBynorm_bp

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* Fixed crop_and_resize shape datatype.

* - correct some mmul tests

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* build fix

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* exclude two methods for JNI

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* exclude two methods for JNI

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* exclude two methods for JNI (#97)

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* temporary stack fix

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* downgrade jetty to latest stable version

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* test and profiles

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* Servlet skeleton

* one test case

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* one test case

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* compilation fix

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* draft improvements

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* draft improvements

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* proof of concept works

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* proof of concept works

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* Servlet

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* logging + simple timing

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* Content type fixed

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* Profile required

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* Servlet tests

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* Post test

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* Tests added:

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* Minor tweaks

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* Constants used

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* Check content type

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* Some tests

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* Errors checking

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* Constraints and tests

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* Minor tweaks

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* Dl4j servlet skeleton

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* Moving class to dl4j

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* Builder extended

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* initial dl4j commit

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* unirest version change

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* temp fallback

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* Reverted unirest version

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* Reverted unirest version

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* revert back unirest version change

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* revert unirest change

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* some additional checks in builder

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* few more fields

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* Test added

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* lombok

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* Tests added

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* deps

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* profiles re-introduced

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* Added tests

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* Model servlet

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* builders

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* builders

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* Servlet skeleton

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* Servlet tests

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* builders

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* get rid of old class

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* use PI for inference

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* superbuilder

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* get back builder

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* Servlet builder

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* PI setup

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* get rid of superbuilder

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* SameDiffServlet inheritance constructor

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* dl4jservlet attached to samediffservlet

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* builder types fix

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* dummy model

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* single out

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* loss

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* Tests added

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* missed builder type

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* working serving example

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* sd model fix

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* fix unirest version

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* More tests

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* Tests added:

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* Minor tests fixes

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* Tests fixed

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* Build fixed

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* Test added

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* Tests fixed

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* Ser/deser added

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* one more unirest fix

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* Custom serializers

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* Tests disabled

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* revert back unirest version change

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* update

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* some default fields values

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* some comments/javadoc

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* - move serde impls to client module
- get rid of INDArray serde for now

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* jackson-based serde for float[], double[] and String

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* more of basic ser/de + tests

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* minor api changes

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* change imports/signatures

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* Optional parralel inference

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* Insert pause between tests as workaround for unavailable port issue

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* few unused imports removed

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* Models usage

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* Models usage

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* - InputAdapter + OutputAdapter = InferenceAdapter
- JsonModelServer now allows separate configuration of InputAdapter and OutputAdapter

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* unused import

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* input adapter..

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* minor signature change

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* few more signatures updated

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* input/output adapter

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* Tests added

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* javadocs added

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* Test fixed

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* minor polishing

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* more of javadoc

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* signature change

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2019-08-14 12:11:09 +03:00
Robert Altena b10ab239c0 Nd4j refactoring (#111)
* refactoring

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* wip

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* wip

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2019-08-13 21:44:40 +10:00
Robert Altena c29c011d1a Nd4j refactoring (#109)
* refactoring.

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* wip

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* wip

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* wip

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* review feedback

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2019-08-13 11:30:45 +10:00
Ryan Nett 11bddb3825 SameDiff: Listener changes and training api update (#99)
* example api

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* Lambda based evaluation

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* lambda test

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* fixes

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* partial fixes, use get-variable listener framework, example EvaluationListener

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* javadoc fix and newInstance implementations

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* fit and evaluate methods with validation data (for fit) and listeners

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* output method overloads + listener args

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* history and evaluation helpers

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* FitConfig and added getters and setters

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadocs

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes, javadoc, added activations to history, added latest activation listener

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes, start of tests

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes and updates

Signed-off-by: Ryan Nett <rnett@skymind.io>

* newInstance fixes, tests

Signed-off-by: Ryan Nett <rnett@skymind.io>

* test fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadocs, getters with SDVariable overrides, CustomEvaluation fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more operation config classes (evaluation, output, exec/single batch output), fix custom eval tests

Signed-off-by: Ryan Nett <rnett@skymind.io>

* merge fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes, most old fit/evaluate/output methods use the builders

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* numerous fixes/cleanup

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadoc

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* Polish round 1

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* Round 2

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* Formatting + round 3

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* Round 4

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2019-08-10 15:30:31 +10:00
Robert Altena f8615e0ef0
nd4j refactoring. (#103)
Restored writeTxt per slack DM.
2019-08-07 19:31:48 +09:00
Alex Black edb71bf46f
Add SameDiff exec debugging listener + few fixes (#104)
* First pass on SameDiff op exec debug listener

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

* #7555 DL4J helpers - don't fall back on builtin for op profiler exceptions

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

* Exec debugging listener + fixes

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

* Fix import counts for TF ops in OpValidationSuite

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

* Fix bad DL4J test configuration

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

* Exec debugging listener polish

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

* Small fix

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

* Another fix

Signed-off-by: Alex Black <blacka101@gmail.com>
2019-08-07 17:18:29 +10:00
Robert Altena ba1d1b160b
remove method with unused parameter. (#102)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-06 19:14:45 +09:00
Robert Altena a438434b1f
Nd4j refactoring (#101)
* cleanup

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* wip

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-06 16:40:08 +09:00
Alex Black b8846113bd
Small number of fixes + cleanup + some missing op methods + constructors (#100)
* Remove unused op class - DefaultOpConverter

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

* Add SDImage class; INDArray constructor additions

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

* Floordiv

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* Small polish to image methods

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* Small DataVec test fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-05 22:31:46 +10:00
Alex Black 923ab15583 Small number of fixes (#98)
* Remove no longer functioning LegacyPooling2D class

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* Fix

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* #8066 First steps for reflection scanning - INDArray constructors

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* Small build fix for ND4S

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* More nd4s fixes

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2019-08-05 11:28:07 +10:00
Robert Altena dfec54242d createUninitializedDetached refactoring. (#94)
* wip

* update interface, add null implementations.

* Breaking one test in a weird way.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* createUninitializedDetached refactored.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:27:05 +10:00
Alex Black cd41c3540d #8038 Fix Op profiler NaN/Inf triggering + add tests (#93)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-05 11:25:48 +10:00
Alex Black e18e2dc014 Various ND4J/DL4J fixes (#90)
* Deprecate Old*Op instances

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* #8063 #8054 Broadcast exceptions + cleanup inplace ops

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* Small fix

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* Remove bad test condition

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* #7993 Fix shape function issue in crop_and_resize op

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* DL4J SameDiff lambda layer fix

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* #8029 Fix for pnorm backprop math

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2019-08-05 11:25:48 +10:00
Robert Altena fbe120031d remove createSparse methods. (#92)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:25:48 +10:00
Robert Altena 386a9f057b remove create method with unused parameter. (#89)
* remove create method with unused parameter.

* removed more unused methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* removing more unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* last removal of unused code.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:25:48 +10:00
Alex Black b95417f7c5 Various ND4J/DL4J fixes and improvements (#87)
* Reshape and reallocate - small fixes

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* Reshape and reallocate - small fixes

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* #6488 ElementWiseVertex broadcast support

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* Constructors and broadcast supported it Transforms.max/min

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* #8054 ElementWiseVertex now supports broadcast inputs

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* #8057 Nd4j.create overload dtype fix

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* #7551 ND4J Shape validation fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-05 11:24:20 +10:00
Robert Altena aa4af2c36d refactor duplicate code from pad methods. (#86)
* refactor duplicate code from pad methods.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* replace switch with if.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:24:20 +10:00
Ryan Nett d4e7997134 SameDiff Convolution Config validation, better output methods (#82)
* Conv Config validation & tests

Signed-off-by: Ryan Nett <rnett@skymind.io>

* stackOutputs utility method

Signed-off-by: Ryan Nett <rnett@skymind.io>

* use constructor for validation, support negative kernel sizes (infered from weights)

Signed-off-by: Ryan Nett <rnett@skymind.io>

* better output methods

Signed-off-by: Ryan Nett <rnett@skymind.io>

* move output to be with fit and evaluate

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* more fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-08-05 11:24:20 +10:00
Robert Altena fa98b83295 remove duplicate code in createBufferDetached. (#83)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:22:59 +10:00
Samuel Audet 526b782e51 Create C wrappers for some of the C++ classes currently used by ND4J 2019-08-05 11:22:59 +10:00
Alex Black fad8da878f Various DL4J/ND4J fixes (#81)
* #7954 Force refresh of UI when switching tabs on overview page

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

* #8017 Concurrent modification exception (synchronize) fix

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

* #8033 Don't initialize updater in middle of writing memory crash dump

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* #8208 Fix shape checks for ND4J int[] creator methods

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* #6385 #7992 Keras import naming fixes + cleanup

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

* #8016 Upsampling3D - add NDHWC format support

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-08-05 11:21:23 +10:00
Robert Altena 70dbe70594 fix javadoc. (#76)
* fix javadoc.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>

* replace most @see with @link s.

Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:21:23 +10:00
Ryan Nett ac321265a7 SameDiff fixes and naming (#78)
* remove SDVariable inplace methods

* import methods

* npe fix in OpVal

* removed SameDiff inplace ops from tests

* Naming updates, moved to centralized methods in SameDiff, should use op_#:# for everything

* quick fixes

* javadoc

* SDVariable eval with placeholders

* use regex match

* better matching
2019-08-05 11:21:23 +10:00
raver119 59a006ce29 [WIP] More fixes (#73)
* special tests for ConstantTadHelper/ConstantShapeHelper

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

* release methods for data buffers

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* delete temporary buffer Java side

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* delete temporary buffer Java side

Signed-off-by: raver119 <raver119@gmail.com>
2019-08-05 11:11:22 +10:00
Robert Altena ce9c372974 fix pad javadoc and @see links. (#72)
Signed-off-by: Robert Altena <Rob@Ra-ai.com>
2019-08-05 11:11:22 +10:00
Alex Black 0d6bb657bc FlatBuffers dtype conversion fix (missing bfloat16) (#71)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 23:21:15 +10:00
Alex Black 06e4f5f96e Small DL4J/SameDiff fixes (#70)
* More mask fixes + remove debugging println

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

* Small batch norm derivative fixe

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 23:19:09 +10:00
Alex Black d94bc7257c Various fixes (#65)
* #7977 deprecate legacy MultiLayerNetwork/ComputationGraph.params(boolean) method

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

* Fix bad test

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

* Small fixes

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

* Fix Histogram mapping

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

* Fix incorrect name handling in DifferentialFunction

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

* More fixes

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

* Histogram fixes

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

* Proper histogram fix

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

* ToString/NDArrayStrings fix

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

* JSON UTF8 serialization fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 23:16:41 +10:00
raver119 c9e867b2e8 File existence validation for Nd4j.createFromNpyFile()
Signed-off-by: raver119 <raver119@gmail.com>
2019-07-20 23:15:57 +10:00
raver119 fd6c0df024 [WIP] More CUDA fixes/updates (#62)
* CUDA reallocation update

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

* Legacy SoftMax/LogSoftMax/SoftMaxDerivative removed from cpp

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* SoftMaxDerivative op removed

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* few tests updates

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* RNG fixes

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* few more tests updates

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* legacy Histogram/Pooling2D removed

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* legacy Histogram removed

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* histogram moved

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* histogram moved cuda

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* Histogram custom op

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2019-07-20 23:07:42 +10:00
raver119 9cf28ea6c9 [WIP] CUDA tweaks (#60)
* special cpu concat

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* special concat fix

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* OpProfiler tweak for absent host pointers

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* minor test tweak to see orders

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* CUDA broadcasting diff orders fix

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* faster iterations

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* OldSoftMax/OldLogSoftMax gone

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* RandomLauncher tweaks

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* additional check int randomtests

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* skip prepare/register action for empty arrays

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* npz float16 fix

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* empty reduction cuda fixes

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* ShapeBufferTests tweaks

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2019-07-20 23:06:48 +10:00
raver119 6ce458e949 [WIP] CUDA Java side (#58)
* one crashing test

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* stupid issue fixed

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* one fix

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* dont ensure location for empty arrays

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* few more signatures fixed

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* few tweaks for DataBuffer creation from java primitives

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* get rid of legacy im2col/col2im intercept

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* rsubi scalar array fix

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2019-07-20 23:06:25 +10:00
raver119 c969b724bb [WIP] more CUDA stuff (#57)
* initial commit

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

* Added gradcheck test for dynamic_partition_bp op.

* - implementation of dilation op (cpu and cuda)

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

* Fixed broadcast_dynamic_shape 1D case and tests.

* Fixed usage of default integer arguments.

* Fixed dynamic_partition_bp op and tests.

* Eliminated test with grad check for dynamic_partition_bp op.

* start working on cuda svd - porting available corresponding api from cuSOLVER library

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

* provide prelu_bp

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* - provide gruCell_bp (old version ??)

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

* - polishing cumsum_bp and cumprod_bp tests

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

* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad

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* Fixed atomicMul with float input/output

* implementation of cuda kernel for triu_bp operation

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* Refactored lup helper to add parrallel computing.

* cusolver libraries

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* uncomment cuSolver APIs in svd.cu

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* cusolver var

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* - further work on cuSolver svd

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* Implement usage of cuda solver to LUP decomposition.

* - correct naames in lup functions

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

* correct svdQR cuda

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

* - provide transpositions of input matrices in case of c order in svdCudaQR

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

* Fixed implementation issues with LUP usign cuda solver.

* Implementation of matrix_determinant helper with cuda kernels. Working revision.

* Implemented log_matrix_determinant helper with cuda kernels.

* - implementation of batched cuda svd

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

* Refactored cholesky helper and implementation of cuda solver cholesky batch.

* - implementation of cuda kernel for tile bp

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* Implementation of cholesky and logdet with cuda kernels.

* - implementation of cuda kernel for sru_bidirectional

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

* Fixed cholesky helper.

* Cholesky op helper implementation. Working double-based cublas implementation.

* bad import excluded

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* Finished with cuda implementation of cholesky helper and tests.

* - implementation of cuda kernel for sru_bidirectional_backprop operation

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

* Implementation of matrix_inverse op helper with cuda kernels. The first revision.

* - start working on gruCell_bp

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

* Implementation of matrix_inverse helper.

* - further work on new gruCell_bp

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* cuBLAS related fixes

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* calculateOutputShapes() now passes device buffers as well

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* special concat/average/accumulate init host pointers now

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* few more tweaks

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* additional CudaDataBufferFactory signatures certain for data types

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* cuSolver host buffer

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* buffer to buffer memcpy host ptr allocation

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2019-07-20 23:05:21 +10:00
Alex Black cb6654bebb Add libnd4j benchmarks (#3)
This PR adds 2 libnd4j benchmarking suits
2019-07-20 22:54:44 +10:00
Ryan Nett 62c6a73f9d Include TF Import tests as forward pass tests in OpValidation (#53)
* ignore multinomial

Signed-off-by: Ryan Nett <rnett@skymind.io>

* fix for @NonNull varargs

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:24:11 +10:00
Ryan Nett daf3950d8d SameDiff If, While, and Misc changes (#52)
* softmax and logSoftmax w/ dimension

Signed-off-by: Ryan Nett <rnett@skymind.io>

* start of while

Signed-off-by: Ryan Nett <rnett@skymind.io>

* if, start of javadocs

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* while foreward pass working, backprop WIP

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* no backprop

Signed-off-by: Ryan Nett <rnett@skymind.io>

* Tensorflow style if/while (& tests), name scope fixes (and test), argument interceptor (for if/while), use '_' in op names instead of ':'

Signed-off-by: Ryan Nett <rnett@skymind.io>

* javadoc

Signed-off-by: Ryan Nett <rnett@skymind.io>

* many fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* many fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* Some fixes

Signed-off-by: Ryan Nett <rnett@skymind.io>

* cleanup if condition doesn't return boolean

Signed-off-by: Ryan Nett <rnett@skymind.io>

* serialization fix

Signed-off-by: Ryan Nett <rnett@skymind.io>

* use constants instead of magic numbers

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:23:40 +10:00
Ryan Nett 2d991f5445 LeakyReLU fix (#55)
* LeakyReLU: Use serScalar to set alpha correctly in TF import
LogX: remove incorrect TF mapping
Pow: remove TF import method (no mapping)
BaseOp: remove duplicate extraArgs

Signed-off-by: Ryan Nett <rnett@skymind.io>

* un-ignore cifar-10 gan, as it is now passing

Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:23:19 +10:00
raver119 5708fc087a [WIP] INDArray hashCode() impl (#50)
* initial commit

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* one more initial commit

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* parallel hashCode prototype

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* longBytes for hashCode

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* INDArray hashCode java side

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* few tests fixed for MSVC

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* Small gradcheck validation util fix - hash names not SDVariables

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

* Small fix + ignore for logged issue

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

* - scrollable iterator fix
- sptree hashset replaced with collection

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

* hashcode exception removed

* int hashCode for java
2019-07-20 22:22:11 +10:00
Alex Black cc65c01118 Op validation improvements + encoding fix (#49)
* Op validation updates

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

* Small logging fix

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

* #7986 Fix minor character encoding issues

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* Small ignore fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 22:21:46 +10:00
Alex Black 88ea9a49eb TF optional properties resolution fix (#48)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
2019-07-20 22:21:20 +10:00
Ryan Nett 4b23dc01fd fix for #7976, update test comment (to OOM) (#45)
Signed-off-by: Ryan Nett <rnett@skymind.io>
2019-07-20 22:20:58 +10:00
raver119 15e7984392 Small fixes (#46)
* - fix for eclipse/#7959

* createFromNpy scalar fix

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* remove spam

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* rng custom ops tests

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* Numpy headers validation + tests

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

* fix for scalar string flat serde

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

* Where empty shape test

Signed-off-by: raver119 <raver119@gmail.com>
2019-07-20 22:20:14 +10:00
raver119 dde50ee570 Small fixes (#43)
* minor cmake changes to make macos happy

* space_to_batch/batch_to_space validation fix

* - choose op tweaks
- tests updated to match appleid tweaks

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

* - get rid of bad import

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

* - choose now uses shape function
- choose test updated
2019-07-20 22:19:20 +10:00