* - specifying template instantiation for certain types in float16 and bloat16
Signed-off-by: Yurii <iuriish@yahoo.com>
* - polishing bfloat16 and float16 member functions template specialization
Signed-off-by: Yurii <iuriish@yahoo.com>
* - rewrite and overload array +-*/ scalar and scalar +-*/ arr in NDAray class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - make corrections which have to do with and rvalue lvalue conversions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide move semantic in NDArray operators array +-/* array
Signed-off-by: Yurii <iuriish@yahoo.com>
* float16/bfloat16 tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* one more tweak
Signed-off-by: raver119 <raver119@gmail.com>
* - make float16 and bfloat16 to compile successfully on cuda
Signed-off-by: Yurii <iuriish@yahoo.com>
* - do not use resources of view-like arrays when move semantics is applied
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of pointers in signatures NDArray methods 1
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correction of signature of NDArray::dup method
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correction of signature of NDArray::reduceAlongDimension method
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyIndexReduce and applyTrueBroadcast methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyReduce3 and varianceAlongDimension methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::tensorsAlongDimension and diagonal methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::allTensorsAlongDimension
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::reduceAlongDimension 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyTransform 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyPairwiseTransform 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyBroadcast 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyTrueBroadcast 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::applyScalar and applyScalarArr
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::lambda methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::reduce3 methods 2
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of following NDArray methods: add/sub/mul/div row/column and fillAsTriangular
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::tileToShape methods
Signed-off-by: Yurii <iuriish@yahoo.com>
* - signature correction of NDArray::isShapeSameStrict method
Signed-off-by: Yurii <iuriish@yahoo.com>
* minor corrections in tests
Signed-off-by: Yurii <iuriish@yahoo.com>
* - replace reduce op in batchnorm mkldnn
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add explicit templates instantiations for operator+(NDArray&&. const scalar)
Signed-off-by: Yurii <iuriish@yahoo.com>
* - corrections of casts in float16/bfloat16
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide move semantics in following NDArray methods: transform, applyTrueBroadcast, transpose, reshape, permute
Signed-off-by: Yurii <iuriish@yahoo.com>
* - get rid of input array A duplicate in svd cuda op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - avoid available bug in svd cuda API
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add temporary global memory buffer in svd cuda when calcUV = false and m != n
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove test with blfoat16 type for betainC
Signed-off-by: Yurii <iuriish@yahoo.com>
* - resolve conflicts after master has been merged in
Signed-off-by: Yurii <iuriish@yahoo.com>
* - changed type of affected input array in fused_batch_norm
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add several explicit type castings
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add ND4J_EXPORT to operators
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add explicit template types in instantiations of template arithm operators of NDArray class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - one more test fix
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
* libnd4j: RgbToGrayscale op #8536 - raw implementation in user branch, need checks for integration and adding other orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToGrayscale op #8536 next step of merging images
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToGrayscale op #8536, Revert merge of hsv_to_rgb and rgb_to_hsv as cause conflicts in naming need refactoring before merge, implementation of rbg_to_grs added
* libnd4j: RgbToGrayscale op #8536 imlementation and conflict resolve
* libnd4j: RgbToGrayscale op #8536 merged operations with images into image, renamed methods and files
* libnd4j: RgbToGrayscale op #8536 added test for rgbToGrayScale, need clarification and fixed tests case run
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToGrayscale op #8536 bug fixing and need review
* libnd4j: RgbToGrayscale op #8536 some additional corrections after review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* - minor corrections in rgbToGrs test1
Signed-off-by: Yurii <iuriish@yahoo.com>
* libnd4j: RgbToGrayscale op #8536, corrected tests and rbf_to_grs, fixed problems, refactoring, need review
* libnd4j: RgbToGrayscale op #8536 fix for 'f' order in rgbToGrs
* libnd4j: RgbToGrayscale op #8536 fixed several bugs with dimC, test case refactoring and improve
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* - add cuda kernel for rgbToGrs op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fix linkage errors
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
* Added infrastructure for implementation op lu for both cuda and cpu platforms.
* Added implementation of helpers with lu op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored LU decomposition to use vector of permutations instead.
* Refactored helpers for lu op.
* Fixed crash with determinant op.
* Refactored cpu LU op heleper.
* Added implementation for lu op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed issue with argmax on column.
* Added multithreaded behaviour for lu op helper.
* Fixed multithreaded cpu implementation helpers for lu op.
* Added cuda implementation for lu op helper.
* Finished lu helper implementation for cuda platform.
* Eliminated waste prints and comments.
* Fixed race condition and multithreading issues.
* Fixed memory leak with shape construction.
* Corrected test for lu op to avoid near zero elements on the main diagonal."
Signed-off-by: shugeo <sgazeos@gmail.com>
* Improved test for adjust_constast op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed issues with cuda implementation of resize_bicubic helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* CUDA implementation for hsv_to_rgb and rgb_to_hsv
Signed-off-by: raver119 <raver119@gmail.com>
* hsv_to_rgb and rgb_to_hsv operations
Test coverage: c order 1d, 2d, 3d array
Signed-off-by: Abdelrauf <rauf@konduit.ai>
* Index check
Signed-off-by: Abdelrauf <rauf@konduit.ai>
* Suppress Msvc floating point errors
Signed-off-by: Abdelrauf <rauf@konduit.ai>
* Added Index Check for adjust_saturation and adjust_hue
Signed-off-by: Abdelrauf <rauf@konduit.ai>
* minor fix
Signed-off-by: raver119 <raver119@gmail.com>
* Fixes missed Msvc floating narrowing errors
Signed-off-by: Abdelrauf <rauf@konduit.ai>
* resize_bicubic: allow more dtypes
Signed-off-by: raver119 <raver119@gmail.com>
* resize_bicubic: allow less dtypes
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored resize_bicubic op to full conform with TF1.5 and tests.
* Corrected test to proper data type output.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected double input test to float constant outputs.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Finished with correction of tests for bicubic interpolated resizes expected.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed adjust_contrast ops to allow non-RGB inputs.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored adjust_contrast_v2 to conform with TF one.
Signed-off-by: shugeo <sgazeos@gmail.com>
* AdjustContrast tests activated
* two typos fixed
Signed-off-by: raver119 <raver119@gmail.com>
* 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>
* - add padding calculation in same mode in causal conv1d op for right mkl paddings
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct causal condition in mkldnnUtils.cpp
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct some code which caused additional round errors is betainc op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - put float in place of template parameter in nan assign in betainc op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add possibility of passing scalar-array as input parameter for scale factor in adjust hue/contrast/saturation ops
- correct typo in function which calculates regularized incomplete beta integral
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fix bug in betainc cuda kernel
Signed-off-by: Yurii <iuriish@yahoo.com>
* - start working on implementation of digamma function
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on digamma function (cpu)
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing bugs in digamma op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - make correction n cuda kernel for polyGamma
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove unnecessary stuff from betaInc cuda kernel
Signed-off-by: Yurii <iuriish@yahoo.com>
* - resolve conflicts in DeclarableOpsTests3.cpp after master branch has been merged
Signed-off-by: Yurii <iuriish@yahoo.com>
* - restore id number of Not opertion in legacy_ops.h
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct padding calculation in mkl dnn conv1d causal
Signed-off-by: Yurii <iuriish@yahoo.com>
* restore empty check in adjust_contrast_v2
Signed-off-by: raver119 <raver119@gmail.com>
* - add causal mode of padding to convolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add additional tests for causal conv1d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add causal mode for cuda conv kernels
Signed-off-by: Yurii <iuriish@yahoo.com>
* Java side of Conv1D changes
Signed-off-by: raver119 <raver119@gmail.com>
* Add Conv1DDerivative op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Causal Conv1D gradient checks
Signed-off-by: Alex Black <blacka101@gmail.com>
* Tweaks
Signed-off-by: Alex Black <blacka101@gmail.com>
* - add causal padding mode to conv2d_bp
Signed-off-by: Yurii <iuriish@yahoo.com>
* More thorough causal conv1d tests
Signed-off-by: Alex Black <blacka101@gmail.com>
* Implementation for non_max_suppression_v3 was added. Initial version
* Added check for overcome threshold.
* Added definition for V3 method.
* java remapping for NonMaxSuppressionV3
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed proporly processing of an empty output and test.
* Refactored op to less threshold data to float.
* Implemented cuda-based helper for non_max_suppression_v3 op.
* Fixed fake_quant_with_min_max_vars op.
* Fixed tests with float numbers.
* - assert now stops execution
- sortByKey/sortByValue now have input validation
Signed-off-by: raver119 <raver119@gmail.com>
* missing var
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed proper processing for zero max_size inputs.
* Refactored kernel callers.
* Fixed return statement for logdet op helper.
* Refactored unsorted segment SqrtN op.
* get back 8 tail bytes on CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored segment prod ops and helpers for cuda and tests.
* Additional test.
* CudaWorkspace tests updated for 8 tail bytes
Signed-off-by: raver119 <raver119@gmail.com>
* special atomic test
Signed-off-by: raver119 <raver119@gmail.com>
* atomicMul/atomicDiv fix for 16bit values
Signed-off-by: raver119 <raver119@gmail.com>
* Eliminated waste prints.
* - improve performance of scatter (no lock) ops for 1D case
Signed-off-by: Yurii <iuriish@yahoo.com>
* - improve scatter lock op performance for 1D case
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add kernel for verification of input indices-array elements in scatter and scatter_nd ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide fast indices checking on cpu side for scatter and gather osp
Signed-off-by: Yurii <iuriish@yahoo.com>
* - apply corrections requested by pr reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* Corrected input checking and tests for bitcast op.
* Fixed an issue with non_max_suppression form generation and processing with score threshold given.
* Fixed bilinear resize kernel and tests.
* push for Serhii
Signed-off-by: raver119 <raver119@gmail.com>
* Added test for nearest_neighbor resize with int input.
* Added data type check for input/output match.
* Eliminate error in macros.
* Improved output message for type checking.
* Fixed input/output types for op.
* Eliminated waste logging.
* Refactored resize_bilinear helper for multithreading for cpu platform.
* Cosmetic changes only.
* Fixed error for string substitution.
* Skip test for cbow_batch with cuda.
* fix for resizeNearestNeighbor output dtype
Signed-off-by: raver119 <raver119@gmail.com>
* Refactored non_max_suppression helper.
* Refactored shape generation and input handling.
* Added additional test.
* - profiling cuda kernels for vol2col and im2col
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct addBias helper
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct mkl dilation formula and switch off mkl api for dilation deconvolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* Added implementation files for image_resize and resize_bicubic ops.
* Image resize and image.resize_bicubic ops implementation. Initial revision.
* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.
* Refactored resize methods.
* Added processing for Mitchelcubic algorithm.
* Added check for input/output sizes.
* Added int and float types for crop_and_resize op.
* Refactored crop_and_resize output type check.
* Added helper for bicubic interpolation as TF v.1 does.
* Added TF v.1 bicubic helper for cuda platform.
* Added cached class for bicubic algorithm.
* Refactored cuda implementation for crop_and_resize helper to use proper output type.
* Added facilities for bicubic interpolation.
* Portion bicubic interpolation from TF.
* Added tests for resize_bilinear testing.
* Working implementation of bicubic interpolation and tests.
* Refactored routines with image_resize bicubic op helper.
* Refactored code with coding standards.
* Refactored cpu helpers for resize_bicubic op.
* Refactored bicubic helpers.
* Added bicubic resize facilities.
* Implementing cuda kernels for bicubic interpolation. Implementation step.
* Cuda implementation of resize_bicubic op helper.
* Refactor image.resize_bicubic op helpers.
* Refactored helpers for resize_bicubic. Added error checking with cuda implementation.
* Refactored cuda implementation of resize_bicubic op helper. The first working revision.
* Cuda arch implementation for resize_bicubic op helper. Full working single-threaded revision.
* Intermediate bicubic interpolation helper for cuda.
* Refactored cpu helper for resize_bicubic.
* Multithreaded cuda implementation for resize_bicubic.
* Fixed merge issues.
* Refactored nlp helpers.
* Replicated resize_bicubic for 3D also.
* Eliminated waste comments of unused code.
* Eliminated waste comments with unused code.
* Eliminated waste template definitions.
* Eliminated waste debug code.
* Eliminated waste comments.
* Fixed multithreading with helpers.
* Fixed test suites for float and double in float point input lists.
* Fixed usage of reshape with 3D/4D on resizes.
* Final fixes.
* Fixed resize_neighbor op problem.
* Added a pair of tests for failed ops.
* Fixed cpu helper for draw_bounding_boxes op.
* Refactored implementation of draw_bounding_boxes op to full conform with TF.
* Improved multithreading with draw_bounding_boxes op cuda helper.
* Eliminated log messages.
* Changed logging with draw_bounding_boxes op helper and tests.
* Resize_biliear with 3D input allowed.
* Refactored 3D input acception with resize_bilinear op.
* And another improvement.
* Refactored reshape of input/output for resize_bilinear.
* Improvements final.
* Finished with 3D replication for image.resize_bilinear/_nearest_neighbor.
* Added copyrights for TF code.
* Using new form of multithreading for cpu implementation.
* Fixed shape error.
* Added multithreaded with batches on crop_and_resize functor.
* Refactored multithreading with crop_and_resize and draw_bounding_boxes.
* - get rid of some copy procedures in mmulHelper ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on cuda batched gamm api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write own cuda kernel performing batched gemm
Signed-off-by: Yurii <iuriish@yahoo.com>
* missing include in MmulHelper
Signed-off-by: raver119 <raver119@gmail.com>
* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future
Signed-off-by: Yurii <iuriish@yahoo.com>
* disable old tensordot
Signed-off-by: raver119 <raver119@gmail.com>
* - rewrite cuda kernels for usualGemm and usualGemv
Signed-off-by: Yurii <iuriish@yahoo.com>
* - profiling mmul helpers
Signed-off-by: Yurii <iuriish@yahoo.com>
* - prints to check shapes were added
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct type of output array Cin mmulNxN
Signed-off-by: Yurii <iuriish@yahoo.com>
* - take into account possible nans in C array
Signed-off-by: Yurii <iuriish@yahoo.com>
* slightly change numThreads message
Signed-off-by: raver119 <raver119@gmail.com>
* - make corrections in accordance to given notes in pr review
Signed-off-by: Yurii <iuriish@yahoo.com>
* Added implementation files for image_resize and resize_bicubic ops.
* Image resize and image.resize_bicubic ops implementation. Initial revision.
* Minor fix
* Some TF imports disabled.
* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.
* Refactored resize methods.
* Added processing for Mitchelcubic algorithm.
* adjust_contrast
* Small fix for TF import expected value loading when variable name starts with the test name
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests
* Tests added.
* Removed tf names absent in mapping.
* Some fixes.
* Small fixes
* Minor change
* Some failing tests.
* Disable failed test
* Ignore some tests
* Fix import class mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix float property mapping (flatbuffers)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Override equality function for model 'dropout'
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fail tests
* Failed tests ignored temporarily.
* Minor fixes
* Small fix
* Conflict resolved
* Default implementations of tensorflowName and onnxName
* Corrected randomuniform declaration.
* Refactored uniform distribution for both cuda and cpu platforms.
* Refactored uniform distribution and tests.
* Fixed type usage with indices.
* Refactored uniform distribution implementation and tests to full conform with TF implementation.
* Refactored gamma function to use type util method.
* Copyright changes and fixes with ConstantHelper.
* Added error checking on allocate cuda device memory and operations.
* Added implementation for random_gamma op.
* Added implementation for random_poisson op and support classes.
* Added helpers for random_poisson and random_gamma ops.
* Implementation of random_poisson. The first working edition.
* Implementation of random_poisson. Parallelized working edition.
* Implementation of random_gamma. Parallelized working edition with alpha only.
* Added cuda implementation for helper of poisson distribution.
* Corrected shape calculation with random_gamma and tests.
* Finished cpu implementation for gamma distribution.
* Finished cuda implementation for random_gamma op.
* Refactored cpu helpers for random_gamma and random_poisson ops.
* Refactored cuda helpers for gamma and poisson distribution.
* Refactored cuda helper for gamma distribution.
* Refactored cpu helper for random_poisson op.
* Refactored cpu helper for random_gamma op.
* Added non_max_suppression_overlaps op and tests.
* Refactored implementation of non_max_suppression_overlaps.
* Refactoring of implementation of non_max_suppression_overlaps op.
* Refactoring of implementation of non_max_suppression op.
* Fixed portion error.
* Added cuda frontends for image suppression ops.
* Eliminated crash with cuda arch on image.non_max_suppression_overlaps op.
* Improved implementation of image_suppression helper for cpu platform.
* The generic approach of non_max_suppression_overlaps op helper with cuda platform.
* Working cuda implementation of helper non_max_suppression_overlaps op.
* Eliminated waste comments.
* Improved implementations for both platforms
* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.
* Improved cuda implementation of non_max_suppression op helper.
* Refactored cuda implementation of image.non_max_suppression_overlaps op helper.
* Improved cuda implementation of image.non_max_suppression_overlaps op helper.
* Added modifications into cuda implementation for image suppression overlaps op.
* Correct queue emulation with cuda implementation of non_max_suppression_overlaps op.
* Prefinal stage of cuda implementation of non_max_suppression_overlaps.
* Worked cuda implementation of non_max_suppresion_overlaps helper.
* Fixed return to proper thread.
* Improvements for cuda implementation of image.non_max_suppression_overlaps op helper.
* Fixed implementation issues with non_max_suppression_overlaps on cuda platform.
* Fixed skip for non_max_suppression_overlaps on cuda platform.
* Finalize implementation of image_suppression helper and tests.
* Cosmetic changes only.
* Added comments to tileKernel routine.
* Refactored kernel and added doc to it.
* Refactored setDiagonal kernel and added doc for it.
* Added doc for tnse cuda helpers.
* Added doc for diag kernels.
* Added doc for kernel.
* Refactored code with fake quantization.
* Added docs for image resize and crop kernels.
* Added docs for image suppression helpers.
* Added docs to matrix_band helpers.
* Added docs for matrix_diag_part and nth_element helpers.
* Fixed syntax error and refactored getIndexOffset usage.
* - profiling bias_add op
- add some docementation
Signed-off-by: Yurii <yurii@skymind.io>
* - minor change
Signed-off-by: Yurii <yurii@skymind.io>
* - provide addBias cuda kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - improve shape::getIndexOfffset and change its signature
Signed-off-by: Yurii <yurii@skymind.io>
* - same as previous
Signed-off-by: Yurii <yurii@skymind.io>
* - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements
Signed-off-by: Yurii <yurii@skymind.io>
* - minor changes in flatten
Signed-off-by: Yurii <shyrma@skymind.io>
* - add function shape::getIndexOffsetOrdered
Signed-off-by: Yurii <shyrma@skymind.io>
* - correct shape::getIndexOffsetOrdered()
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* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function
Signed-off-by: Yurii <shyrma@skymind.io>
* Comments axis shifts.
* Fixed LUP solver usage. Added helpers doc.
* Switch off OMP for roll and lup. Fixed omp usage for ClipByGlobalNorm.
* Switch off omp for ClipByGlobalNorm to reduce omp ambigiousness.
* Actualized doc to tnse ops.
* Added comments for dynamic_stitch op.
* Added comments to dynamic_stitch op implementation.
* Modified comment for unstack_list op.
* Added doc for space_to_depth and depth_to_space ops.
* Added doc for space_to_batch op.
* Enlarge test type for adjustSaturation.
* Added doc for runner.
* - documenting and profiling matrix_set_diag cuda kernel
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* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag
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* one test for alex
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* fix
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* get rid of safety offset in cpp
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* bfloat16
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* minor test rearrangement to fastpath launch
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* - atomicAdd/Mul/Div fix for float16/bfloat16 misalignment
- one special test for maxpoolbp java
- safety offset of 8 bytes is back to libnd4j legacy
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* - provide new cuda kernel for softmax
Signed-off-by: Yurii <yurii@skymind.io>
* - further work on cuda kernel for softmax
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* - correction cuda kernel for softmax
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored kernels for segment_max/min/sum ops.
* Refactored segment_prod kernels.
* Refactored segment_prod kernels.
* DynamicPartition test
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* Addede linear test for dynamic_partition op.
* Refactored test with int datatype.
* some logging
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* some logging
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* some logging
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* dynamicPartition fix
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* get rid of some logging
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* one more test for dynamic_stitch
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* one more test for dynamic_stitch
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* empty check for stitch
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* minor print changes
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* one noop test
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* skip input validation for no-input ops
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* - one more noop empty test
- one more validation before sync
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* typo
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* one more validation fix
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* CUDA empty reductions java side
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* one svd test
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* Corrected segment_mean helpers and added another test.
* Refactored segment_mean kernels to avoid race_condition.
* - further work on layer_norm
Signed-off-by: Yurii <yurii@skymind.io>
* - further work on layer_norm 2
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* - correct helpers for svd cuda
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* one test for gather_nd
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* get rid of old concat tests
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* one printf
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* one more legacy test removed
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* gatherNd launch params fix
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* gatherNd launch params fix
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* one test for maxpool2d_bp
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* - maxpool2d_bp cuda fix for NaNs
- streamSync after each custom op execution
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* - start working on space_to_batch_nd
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* - provide cpu helper for space_to_batch_nd op
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* few typos fixed
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* - add tests for space_to_batch and correct bugs
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* - write cuda kernel for space_to_batch op
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* - add order argument to shape::index2coords method in convolution cuda ops
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* - restore some previous code
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* old col2im kernel activated
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* - change coords calculation in col2im kernel
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* - restore old col2im kernel
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* - add custom op for batch_to_space
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* - provide cpu version for batch_to_space_nd op
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* - provide cuda kernel for batch_to_space_nd op
Signed-off-by: Yurii <yurii@skymind.io>
* Added tests for get_seed/set_seed ops.
* Added missed tests for scatter_sub/mul/div ops.
* Added tests for hardsigmoid and hardsigmoid_bp.
* Added tests for hardtanh and hardtanh_bp ops.
* Added test for histogram op.
* Added tests for identity op.
* Refactored mergemaxindex op. Added tests for log1p,mergemaxindex, mod and mod_bp ops.
* Fixed tests for FloorDiv.
* Added test for rank op.
* Added tests for rationaltanh/rationaltanh_bp ops.
* Added tests for realdiv/realdiv_bp.
* Added tests for rectifiedtanh/_bp ops.
* Added tests for shapes_of op.
* Added tests for shapes_of op.
* Added tests for size op.
* Added tests for softplus/_bp ops.
* Added tests for softsign/_bp ops.
* Added tests for toggle_bits op. Fixed processing of OP_IMPL and so on defititions.
* Added test for truncatediv op.
* Added another test for truncatediv op.
* Added another test for histogram.
* Added tests for unstack_list op.
* Refactored to_int32/uint32/float16/float32/double/int64/uint64 ops and tests.
* Refactored mergemaxindex op helper for cuda platform and tests.
* Fixed cuda kernel for histogram op helper.
* Refactor skipgram to avoid early buffers shift.
* Fixed check up with non_max_suppression op cuda helper. Added cuda kernel implementation for skipgram op helpers.
* Added implementation of skipgram op helper for cuda platform. Working revision
* Fixed mergeMaxIndex kernel and move it to separate source file.
* - correct cuda concat
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* - pooling 2d/3d : take into account possible case when input and gradI have different strides
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* master pulled in
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* floordiv_bp test reverted
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* - add NDArray::printLinearBuffer method
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored extract_image_patches op helpers.
* Eliminated compliler errors with helper implementation.
* Finished implementation for extract_image_patches both cpu and cuda helpers.
* Improved cpu implementation.
* Improved cuda implementation for extract_image_patches helper.
* Added omp to ClipByGlobalNorm helpers implementation.
* Added implementation for thresholedrelu_bp op.
* Fixed cuda kernel with F order.
* Fixed tests for subarray.
* Refactored tests for Gaussian_3 and Truncated_22.
* Added tests for GaussianDistribution with native ops.
* Modified tests for Gaussian distribution.
* Fixed random tests.
* Fixed atomicMin/atomicMax for 64bit cases.
* Fixed tests for execReduce3TAD tests.
* Eliminated waste comments.
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* - remove old test for batch_to_space (had wrong format and numbers were not checked)
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* Added test for concat.
* comment unnecessary stuff in s_t_b
Signed-off-by: Yurii <yurii@skymind.io>
* 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...)
Signed-off-by: Yurii <yurii@skymind.io>
* - debugging and fixing cuda tests in JavaInteropTests file
Signed-off-by: Yurii <yurii@skymind.io>
* - correct some tests
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* - some tests fixes
Signed-off-by: Yurii <yurii@skymind.io>
* - correct the rest of reduce_ stuff
Signed-off-by: Yurii <yurii@skymind.io>
* - further correction of reduce_ stuff
Signed-off-by: Yurii <yurii@skymind.io>
* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
Signed-off-by: Yurii <yurii@skymind.io>
* - 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
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* - get rid of concat op call, use instead direct concat helper call
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
Signed-off-by: Yurii <yurii@skymind.io>
* initial commit
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* - gruCell_bp further
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* - further work on gruCell_bp
Signed-off-by: Yurii <yurii@skymind.io>
* Inverse matrix cublas implementation. Partial working revision.
* Separation of segment ops helpers. Max separation.
* Separated segment_min ops.
* Separation of segment_mean/sum/prod/sqrtN ops heleprs.
* Fixed diagonal processing with LUP decomposition.
* Modified inversion approach using current state of LU decomposition.
* Implementation of matrix_inverse op with cuda kernels. Working revision.
* Implemented sequence_mask cuda helper. Eliminated waste printf with matrix_inverse implementation. Added proper tests.
* - further work on gruCell_bp (ff/cuda)
Signed-off-by: Yurii <yurii@skymind.io>
* comment one test for gruCell_bp
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* - provide cuda static_rnn
Signed-off-by: Yurii <yurii@skymind.io>
* Refactored random_shuffle op to use new random generator.
* Refactored random_shuffle op helper.
* Fixed debug tests with random ops tests.
* Implement random_shuffle op cuda kernel helper and tests.
* - provide cuda scatter_update
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of random_shuffle for linear case with cuda kernels and tests.
* Implemented random_shuffle with cuda kernels. Final revision.
* - finally gruCell_bp is completed
Signed-off-by: Yurii <yurii@skymind.io>
* Dropout op cuda helper implementation.
* Implemented dropout_bp cuda helper.
* Implemented alpha_dropout_bp with cuda kernel helpers.
* Refactored helper.
* Implementation of suppresion helper with cuda kernels.
* - provide cpu code fot hsvToRgb, rgbToHsv, adjustHue
Signed-off-by: Yurii <yurii@skymind.io>
* Using sort by value method.
* Implementation of image.non_max_suppression op cuda-based helper.
* - correcting and testing adjust_hue, adjust_saturation cpu/cuda code
Signed-off-by: Yurii <yurii@skymind.io>
* Added cuda device prefixes to declarations.
* Implementation of hashcode op with cuda helper. Initital revision.
* rnn cu impl removed
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* initial commit
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* 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
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* provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad
Signed-off-by: Yurii <yurii@skymind.io>
* 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
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* - 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
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of cholesky and logdet with cuda kernels.
* - implementation of cuda kernel for sru_bidirectional
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* 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
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* Implementation of matrix_inverse op helper with cuda kernels. The first revision.
* - start working on gruCell_bp
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* 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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* 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
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* Fake quant
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* Fixes
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* 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
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* 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
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* 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
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* 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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Oleh
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Alex Black
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