* 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>
* Add maven profile + base tests methods for integration tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch from system property to environment variable; seems more reliable in intellij
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add nd4j-common-tests module, and common base test; cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Ensure all ND4J tests extend BaseND4JTest
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Test spam reduction, import fix
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add test logging to nd4j-aeron
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix unintended change
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Reduce sprint test log spam
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More test spam cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Significantly speed up TSNE tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* W2V iterator test unit/integration split
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More NLP test speedups
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Avoid debug/verbose mode leaking between tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* test tweak
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Arbiter extends base DL4J test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Arbiter test speedup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* nlp-uima test speedup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More test speedups
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix ND4J base test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Few small ND4J test speed improvements
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* DL4J tests speedup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Even more test speedups
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* 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>
* 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>
* 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.
* 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>
* Keras causal conv1d support first steps
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Add tests
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Causal conv mode
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Gradient check and fixes for causal conv1d
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix Conv1D import and testing
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Cleanup
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small keras test fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* Don't allow setting causal convolution mode to conv2d/3d layers
Signed-off-by: Alex Black <blacka101@gmail.com>
* More robustly infer nIn for recurrent layers for ambiguous NCW and NWC cases
Signed-off-by: Alex Black <blacka101@gmail.com>
* Polish and cleanup
Signed-off-by: Alex Black <blacka101@gmail.com>
* Update shaded Jackson version to 2.10.1
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Remove no longer needed scala compiler plugin from UI
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix op name for BitwiseAnd op
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* TimeDistributedLayer mask array fix + test
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Switch Nearest neighbors server implementation from Play to Vertx
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* No more scala version suffix for nearest neighbor server
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* logback.xml fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Header tweaks
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* #6377 Keras sparse cross entropy loss import support
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix small bug in reshape preprocessor
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Minor optimization.
* Reduce number of objects.
* Extend arrays when limit reached
* Test
* Some fixes.
* Small fix
* Wrong condition fixed.
* Fixes of reallocation.
* Small fix.
* Tests
* Clean up
* Test added.
* Tests and some fixes.
* Test
* Test fixed.
* Conflict fixed.
* UX improved
* Fix repo links and clean up old github templates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More link updates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Small base spark test fix; ROC toString for empty ROC
Signed-off-by: Alex Black <blacka101@gmail.com>
* More fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* don't allocate so many float arrays, use INDArrays instead
Signed-off-by: Ryan Nett <rnett@skymind.io>
* re-add pre-processing, better names
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use float[][] pool to avoid extra ndarray creation
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add fallback for Conv layer activation
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add fallback and config option for LSTM layers
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add fallback option and setting for dropout
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix comments and error messages
Signed-off-by: Ryan Nett <rnett@skymind.io>
* move helper fail count to layer instance
Signed-off-by: Ryan Nett <rnett@skymind.io>
* ignore helperCountFail for equals and json
Signed-off-by: Ryan Nett <rnett@skymind.io>
* typo fix (MLK -> MKL)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add MKLDNN to error messages
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add helperAllowFallback to builders, deprecate cudnnAllowFallback
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Test updated to reflect changes in random generation
* Invalid resource removed and fixed tests
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Small batch norm fix (cuda/no-mkldnn)
Signed-off-by: Alex Black <blacka101@gmail.com>
* Dropout fix for RnnOutputLayer
Signed-off-by: Alex Black <blacka101@gmail.com>
* Allow block size < 2 in batch_to_space_nd and space_to_batch_nd for import, in spite of what TF docs say
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Nd4j pad update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* switched from guava Immutables to Collections.unmodifiableList/Map
Signed-off-by: Ryan Nett <rnett@skymind.io>
* javadoc
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use new pad
Signed-off-by: Ryan Nett <rnett@skymind.io>
* conv tests use OpValidation
Signed-off-by: Ryan Nett <rnett@skymind.io>
* deconv3d overrides
Signed-off-by: Ryan Nett <rnett@skymind.io>
* test fix for the new pad method
Signed-off-by: Ryan Nett <rnett@skymind.io>
* more test fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* more test fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* rename SameDiff function methods to op (except for the actual SameDiff function ones)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* more pad overloads, test fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* test updates
Signed-off-by: Ryan Nett <rnett@skymind.io>
* conv1d test
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove Conv1D tf import (there isn't a TF conv1d op)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove numThreads from Nd4j
Signed-off-by: Ryan Nett <rnett@skymind.io>
* replace Old ops with their newer versions, deprecate ones that haven't already been deprecated
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove use of setNumThreads
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix for Reverse and ATan2
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fix test for wrong equals type
Signed-off-by: Ryan Nett <rnett@skymind.io>
* well it works now
Signed-off-by: Ryan Nett <rnett@skymind.io>
* better javadocs
Signed-off-by: Ryan Nett <rnett@skymind.io>
* NonNulls
Signed-off-by: Ryan Nett <rnett@skymind.io>
* better array literal
Signed-off-by: Ryan Nett <rnett@skymind.io>
* re-add tf import stuff (will remove later)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* conv1d config load fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* partial config usage changes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove Old op classes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* config property fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed one too many ops
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Small build fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Fix RL4J
Signed-off-by: Alex Black <blacka101@gmail.com>
* Test fixes
Signed-off-by: Alex Black <blacka101@gmail.com>
* Another fix
Signed-off-by: Alex Black <blacka101@gmail.com>
* 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>
* 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>
* Keras model import - updater lr fix
Signed-off-by: eraly <susan.eraly@gmail.com>
* Keras model import - updater lr fix, cleanup
Signed-off-by: eraly <susan.eraly@gmail.com>
When doing classification we need to know the `numPossibleLabels`. If it's set to -1, then we get obscure and confusing null-pointers when accessing labels when calling `ComputationGraph.fit` on the iterator. This PR blocks the user from shooting themselves in the foot.
* System info export for debugging and bug reporting
Signed-off-by: Ryan Nett <rnett@skymind.io>
* class name fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add version information, pointer memory info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add nvidia-smi and nvcc info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* line cleanup
Signed-off-by: Ryan Nett <rnett@skymind.io>
* nvidia-smi run works
Signed-off-by: Ryan Nett <rnett@skymind.io>
* add oshi dependency
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use OS info, add workspaces info
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use ServiceLoader to load GPU information
Signed-off-by: Ryan Nett <rnett@skymind.io>
* register service
Signed-off-by: Ryan Nett <rnett@skymind.io>
* moved service out of NativeOpsHolder (private constructor)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* added newline
Signed-off-by: Ryan Nett <rnett@skymind.io>
* added license
Signed-off-by: Ryan Nett <rnett@skymind.io>
* and one more
Signed-off-by: Ryan Nett <rnett@skymind.io>
* copyright update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed unused imports
Signed-off-by: Ryan Nett <rnett@skymind.io>
* removed more unused imports
Signed-off-by: Ryan Nett <rnett@skymind.io>
* close streams
Signed-off-by: Ryan Nett <rnett@skymind.io>
* and another one
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use method
Signed-off-by: Ryan Nett <rnett@skymind.io>
* one more copyright
Signed-off-by: Ryan Nett <rnett@skymind.io>
* remove double license
Signed-off-by: Ryan Nett <rnett@skymind.io>
* moved test to correct package
Signed-off-by: Ryan Nett <rnett@skymind.io>
* classpath update
Signed-off-by: Ryan Nett <rnett@skymind.io>
* classpath for java >8 fix
Signed-off-by: Ryan Nett <rnett@skymind.io>
* Shugeo strided slice zeros (#14)
* Modified strided_slice op to properly work with empty-like shapes.
* Fixed test for reduce_mean with empty-like input.
* [WIP] Last merge (#15)
* correct logsoftmax looss (#2)
* Small SameDiff listener fix (#4)
* Various fixes (#6)
* #7839 Fix for asXMatrix and tests
* #7866 EmbeddingSequenceLayer dtype fix + test
* #7856 SameDiff save/load stream methods
* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration
* EvaluationBinary 3d/4d
* More evaluation 3d/4d tests
* #7847 Evaluation empty checks
* Small test ifx
* #7848 Fix median edge case
* Improve DL4J samediff layer tests
* [WIP] FastText wrapper implemented (#8)
* FastText implemented
* Some fixes
* Fix shapes for wordsNearest
* Validation of input vectors
* Fixes
* Fixed test
* Thread tagged
* Some tweaks
* setContextClassLoader for DeallocatorServiceThread
* Numpy format tests (#1)
* Various fixes (#11)
* #7852 SameDiff gather fix
* #7892 SameDiff placeholder to constant conversion
* #7890 validate input rank for MLN/CG init methods
* Fix broken permute shape calculation
* Permute and gather fixes
* Tests
* #7850 LogSumExp fix + test
* Handful of test fixes
* Empty arrays with non-scalar shapes (#10)
* minor rearrangements for lambdas
* empty tensors with non-scalar shapes
* numpy empty tensors with non-scalar shapes
* few more empty tweaks
* Small fixes
* conv3d signature update
* micro fix in batchnorm mkldnn
* Import fixes
* Fix
* MKL-DNN update
* Small fill fix
* fill with empty input + test
* Fixes
* Small error improvement
* Fix
* one special test
* couple of fixes for lstm
* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone
* Fixes
* FP16
* Unsigned
* BFloat16
* Fill op - empty tweaks
* - couple of fixes for empty arrays construction
- stack updated
* strided slice fix
* one transform test
* provide method for reducing shapeInfo in case of input array is empty
* Fixed reduceAlongDimensions to use empty input properly.
* couple of broadcast tests
* couple of tests broadcast tests + tweak to make them pass
* add check of non-empty to methods producing sub-arrays
* Fixed reshapeC with zeros in shape.
* complete empty check in reduce_... legacy ops
* Concat and cumsum/prod
* Tweak to empty shape inference on import
* add empty check to the rest of reduce legacy ops
* one more test
* correct typo in evalReduceShapeInfoEmpty
* Added tests for reduce_* ops to tests with zero shapes.
* few more tests for empty reductions
* Fixed strided_slice op with empty case and tests.
* one more empty reduction test
* Fixed strided_slice test.
* add empty check to NDArray::reshapei
* infOrMax
* empty min/max with infinity tests
* made unstack working correctly with empty arrays
* few IndexReduce tests + tweaks for empty shapes
* add test for empty concat
* few tests fixed
* Validation fix for reductions on empty shapes
* Reverse fix
* Reduction shape calc fixes
* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs
* Range fix
* - NDArray constructor updated for scalars/empty arrays
- few tests fixed
* More fixes
* Empty creator fixes
* concat fix
* concat fix
* TF import tests: allow 'both all NaN' and 'both all inf' to pass
* Slice, zero fraction, and reshape fixes
* transpose, gather
* Zero fraction
* scalar cast fix
* Empty reduction axis support
* few more tests fixed
* Fixed input checks conforming with TF for concat op and tests.
* few tests fixed
* matmul scalar shape fix
* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.
* broadcast bool fix
* few more tests
* few more tests
* correct evalReduceShapeInfoEmpty
* argmax/argmin + tests
* one more empty edge case + one more test
* argmax/argmin/realdiv_bp tweaks
* empty reshape test + fix
* Helper fixes
* Small fixes
* Gather test fix
* Gather test fix
* Small fixes
* reduce scalar zero values
* scalar mean workaround
* Remove debug code
* along dim mean workaround
* one more test
* - equalsTo() tweak for empty arrays
- one more test
* broadcast tweaks
* [WIP] Fixing outstanding issues for NLP (#9)
* Avoid using not-inited objects
* Test fixed.
* Redundant method avoided for models like FastText
* KMeans++ implementation
* KMeans++ implementation
* Disable parallel execution
* KMeans++
* Tests
* Dev branch merge (#16)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Fix some issues on master (#17)
* Fix DataVec test issue
* Fix issue with dl4j SameDiff output layer
* Dtype fix for lambda layers
* #7912 BertIterator dtype fix (use float32 not global default)
* [WIP] Next set of CUDA stuff (#7)
New CUDA implementations and improvements
* bad file
* Dev branch master merge (#23)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Compatibility of deserialization (#18)
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff: add activation gradient checking support for debugging (#19)
* SameDiff gradient checker: first pass on activation gradient checks
* Fixes + tests for activation gradient checking
* Javadoc
* [WIP] Some nd4j data type corrections (#20)
* Adjust data type
* Set correct Data type.
* Size of proper data type.
* fix averaged cpu load (#22)
* SameDiff ops, TF import and fixes (#24)
* CheckNumerics tests + fixes + misc fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fake quant
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* Fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* FakeQuantWithMinMaxArgs
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* CheckNumerics fix
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* Fix libnd4j ALL_INTS and ALL_FLOATS declaration (uint and bfloat types)
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* Small fix
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* Javadoc
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* Exception tweak
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* fix
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* Fix for out of scope stack allocated var use
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* Ignores
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* Ignore for known failing test (already logged issue)
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* Merge upstream to fork (#25)
* Add thousand-separator commas to TotalParams (#7915)
* Add thousand-separator commas to TotalParams
The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.
* Add thousand-separator commas to MultiLayerNetwork
Corresponding change to MultiLayerNetwork
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* Update contributing and issue/PR templates (#7934)
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* Fix link to AdaDelta paper (#7942)
Fix link to AdaDelta paper hosted on matthewzeiler.com
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* Fixes, and ignores for known/logged failing issues (#7943)
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* SameDiff + DL4J/SameDiff: Multiple fixes (#28)
* #7919 HDF5 attribute buffer length fix
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* #7909 Arbiter constructor exception ux improvements
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* #7925 RNN output layer length checks
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* #7939 Add listener for validating inputs are not incorrectly modified
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* #7939 Integrate NonInplaceValidationListener into tests
* #7844 DL4J SameDiff fixes for variable minibatch size
* DL4J SameDiff fixes - ensure gradient for input placeholder is available
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tweaks to ExternalErrorsFunction - use placeholders, make more robust
* Another fix
* More fixes
* More SameDiff/DL4J fixes
* Scope out scalar array creation in BaseScalarOp
* Remove debug code
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* [WIP] Final dev branch merge (#29)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Compatibility of deserialization (#18)
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff: add activation gradient checking support for debugging (#19)
* SameDiff gradient checker: first pass on activation gradient checks
* Fixes + tests for activation gradient checking
* Javadoc
* [WIP] Some nd4j data type corrections (#20)
* Adjust data type
* Set correct Data type.
* Size of proper data type.
* fix averaged cpu load (#22)
* [WIP] Multiple dataset iterators (#27)
* Splitting dataset into arbitrary number
* Fixes
* Multiple split of iterator
* Test
* Test
* Some fixes
* signature change
* one more tweak
Signed-off-by: raver119 <raver119@gmail.com>
* one more test for sequential use of DataSetIteratorSplitter
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* Fixes
* Fixes
* one more test for Alexander
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* Some fixes
* Some fixes
* one more test for Alexander
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* minor test fix
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* Some fixes
* Some fixes
* couple of assertions tweaked
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* MDS splitter test :/
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* Minor refactoring
* Multi dataset
* Some fixes
* More tests
* Small number of test fixes/improvements (failures on CI) (#31)
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* [WIP] More CUDA stuff (#26)
* initial commit
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* LRN BP CUDA
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* less memory
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* Fixed bug with crop_and_resize op helper.
* get rid of unnecessary index-calculation dunction
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed sort with nth_element cuda-based helper.
* Refactored nth_element.
* Refactored nth_element op and tests.
* Modified usage of dim array with sortTad routine.
* Refactored main routine of helper for non_max_image_suppression op.
* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.
* fix vol2col cuda kernel
* meh
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* topK concept
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* unsorted topK with scanWitdh of 1
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* correct vol2col tests
* sorted/unsorted topK
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* implementation and fixing col2im/col2vol
* Corrected usage flags with input/output with reverse op.
* dup is const now
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* percentile op
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* group tests for mapool2d
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* special test for george
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* less threads for sortTad
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* provide conv2d for cuda
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* remove auther in sort tad kernel code
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* provide depthwise_conv2d for cuda
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* - max_pooling_with_argmax
- null check for special use
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* dts cuda
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* provide sconv2d for cuda
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* std cuda
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* Refactored non_max_suppression op to conform TF implementation.
* Improved suppression helper.
* provide pooling3d for cuda
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* minor lstm rearrangements
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* more of minor lstm rearrangements
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* (bi)dynamic_rnn
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* templates init order
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* Refactored non_max_suppression op.
* Added cuda kernel for non_max_suppression.
* CPU sort by key/value
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* CPU sort TAD by key/value
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* CPU sort TAD by key/value tests
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* Eliminate compiler error with cuda implementation.
* - repaired gradCheck in cuda
- provide conv2d_bp for cuda
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* missed signature
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* provide depthwise_conv2d_bp for cuda
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* Implementation of lup helper with cuda kernel. Initial commit.
* further work on backprops for convolutions
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* CUDA linear sort by key/val
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* CUDA tad sort by key/val
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* start providing of backprop for pooling2d/3d
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* Added atomicAdd for bool datatype.
* dynamic partition concept
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* dynamic partition concept
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* dynamic partition scalar CUDA
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* important comment
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* fix pooling2d/3d backprop helpers
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* Added non-linear test with dynamic_partition.
* Improved test for dynamic_partition.
* dynamic_partition TAD concept
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* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix
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* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d
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* dynamic_stitch CUDA vector case
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* dynamic_stitch CUDA TAD case concept
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* dynamic_stitch CUDA TAD case impl
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* Added tests for dynamic_stitch 3D-4D cases.
* minor tests tweaks
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* Fixed type check for dynamic stitch.
* min/max bp
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* rewrite code for upsampling2d/3d cpu
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* reduce min/max/norm_max bp
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* lup implementation. Additional enhancements.
* provide code for upsamling2d/3d backprop
Signed-off-by: Yurii <yurii@skymind.io>
* weightedCrossEntropyWithLogits
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* Fixed template math atomicMul for 64bit ints.
* Refactored dynamic_partition_bp op.
* inverseBroadcast fix
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* DynamicPartitionBP test datatype fixed.
* - nd4j_atomicMul Windows fix
- cpu/NDArrayLambda.hpp excluded from CUDA
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* Add thousand-separator commas to TotalParams
The number of parameters can be quite large, and it would help the reading of the summary printout to have the TotalParams column & values at the bottom have thousand-separator-commas in them.
* Add thousand-separator commas to MultiLayerNetwork
Corresponding change to MultiLayerNetwork
Signed-off-by: Jxtps Jxtps <jxtps435@gmail.com>
* correct logsoftmax looss (#2)
* Small SameDiff listener fix (#4)
* Various fixes (#6)
* #7839 Fix for asXMatrix and tests
* #7866 EmbeddingSequenceLayer dtype fix + test
* #7856 SameDiff save/load stream methods
* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration
* EvaluationBinary 3d/4d
* More evaluation 3d/4d tests
* #7847 Evaluation empty checks
* Small test ifx
* #7848 Fix median edge case
* Improve DL4J samediff layer tests
* [WIP] FastText wrapper implemented (#8)
* FastText implemented
* Some fixes
* Fix shapes for wordsNearest
* Validation of input vectors
* Fixes
* Fixed test
* Thread tagged
* Some tweaks
* setContextClassLoader for DeallocatorServiceThread
* Numpy format tests (#1)
* Various fixes (#11)
* #7852 SameDiff gather fix
* #7892 SameDiff placeholder to constant conversion
* #7890 validate input rank for MLN/CG init methods
* Fix broken permute shape calculation
* Permute and gather fixes
* Tests
* #7850 LogSumExp fix + test
* Handful of test fixes
* Empty arrays with non-scalar shapes (#10)
* minor rearrangements for lambdas
* empty tensors with non-scalar shapes
* numpy empty tensors with non-scalar shapes
* few more empty tweaks
* Small fixes
* conv3d signature update
* micro fix in batchnorm mkldnn
* Import fixes
* Fix
* MKL-DNN update
* Small fill fix
* fill with empty input + test
* Fixes
* Small error improvement
* Fix
* one special test
* couple of fixes for lstm
* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone
* Fixes
* FP16
* Unsigned
* BFloat16
* Fill op - empty tweaks
* - couple of fixes for empty arrays construction
- stack updated
* strided slice fix
* one transform test
* provide method for reducing shapeInfo in case of input array is empty
* Fixed reduceAlongDimensions to use empty input properly.
* couple of broadcast tests
* couple of tests broadcast tests + tweak to make them pass
* add check of non-empty to methods producing sub-arrays
* Fixed reshapeC with zeros in shape.
* complete empty check in reduce_... legacy ops
* Concat and cumsum/prod
* Tweak to empty shape inference on import
* add empty check to the rest of reduce legacy ops
* one more test
* correct typo in evalReduceShapeInfoEmpty
* Added tests for reduce_* ops to tests with zero shapes.
* few more tests for empty reductions
* Fixed strided_slice op with empty case and tests.
* one more empty reduction test
* Fixed strided_slice test.
* add empty check to NDArray::reshapei
* infOrMax
* empty min/max with infinity tests
* made unstack working correctly with empty arrays
* few IndexReduce tests + tweaks for empty shapes
* add test for empty concat
* few tests fixed
* Validation fix for reductions on empty shapes
* Reverse fix
* Reduction shape calc fixes
* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs
* Range fix
* - NDArray constructor updated for scalars/empty arrays
- few tests fixed
* More fixes
* Empty creator fixes
* concat fix
* concat fix
* TF import tests: allow 'both all NaN' and 'both all inf' to pass
* Slice, zero fraction, and reshape fixes
* transpose, gather
* Zero fraction
* scalar cast fix
* Empty reduction axis support
* few more tests fixed
* Fixed input checks conforming with TF for concat op and tests.
* few tests fixed
* matmul scalar shape fix
* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.
* broadcast bool fix
* few more tests
* few more tests
* correct evalReduceShapeInfoEmpty
* argmax/argmin + tests
* one more empty edge case + one more test
* argmax/argmin/realdiv_bp tweaks
* empty reshape test + fix
* Helper fixes
* Small fixes
* Gather test fix
* Gather test fix
* Small fixes
* reduce scalar zero values
* scalar mean workaround
* Remove debug code
* along dim mean workaround
* one more test
* - equalsTo() tweak for empty arrays
- one more test
* broadcast tweaks
* Capsnet test runtime improvements
* Slow test speedups
* Next round of test speed improvements
* More test improvements
* Improve test speed
* Next round of test speedups
* Another round
* More test speedups
* Another round
* Another round of test speedups
* Another round of speedups...
* CuDNN test speedups + more tests extending BaseDL4JTest
* Minor fix + more BaseDL4JTest use in other modules
Alexander Stoyakin
Alex Black
raver119
Samuel Audet
CT
Susan Eraly
Fariz Rahman
Robert Altena
Ryan Nett
Serhii Shepel
jxtps
skymindops