* - implementation of cudnn batchnorm_bp op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing bugs in batchnorm_bp based on cudnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - move pooling mkl code and delete some unnecessary files
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementation and testing cudnn pooling2d ops (avg/max, ff/bp)
Signed-off-by: Yurii <iuriish@yahoo.com>
* - implementation and testing cudnn pooling 3d (ff/bp) ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide ff step in case of cudnn maxpool3d_bp op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove half type from set of supported types in mkl dpethwise conv op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - bring back cudaStreamSynchronize in batchnorm and pooling cudnn ops
Signed-off-by: Yurii <iuriish@yahoo.com>
Co-authored-by: raver119 <raver119@gmail.com>
* Added implementation for resize_area op. Initial commit.
* Added implementation of resize_area op. Initial revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected resizeArea functor call.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation of resize_area. Cpu platform helpers.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation for resize_area helpers. The first part revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added a set of tests for resize_area op.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Cuda implementation for resize_area. Initial approach.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Adding multithreading for resize_area algorithm.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Cuda implementation of resize_area helpers. Shared memory approach.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored resizeAreaKernel with cuda implementation.
* Eliminated compilation errors.
* ResizeArea helpers for cuda platform. The first working revision.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added test for batched resize_area op testing.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Implementation of resize_are for cuda platform and tests.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Fixed multithreading with resize_area op helper.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected copyright marks with sources.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected copyright mark for resize_area op implementation.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected copyright mark for parity ops header.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Corrected typo in strings and so on with image resize ops.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored resize_area helpers and multithreading.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added ResizeArea wrapper
* Added test with align_corners and fixed shape processing with only int args given for output size.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Added test
* TF mapping for ResizeArea
* Fixed implementation issues with resize_area op for both platforms.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Refactored image resizer struct to use flexible types for ints and floats.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Improved multithreading with resizeAreaKernel launch.
Signed-off-by: shugeo <sgazeos@gmail.com>
* Use asynchronical memory copying with cuda platform image resize allocations.
Signed-off-by: shugeo <sgazeos@gmail.com>
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 first step of Pow_bp operation implementation
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 some corrections of calculation steps
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 some bug fixes, the PowDerevative op made broadcastable, add the raw tests for op, need refactoring to use broadcast ops
* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed several bugs add broadcast support and tests, need to fix scalar+array and array+scalar
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 fixed bugs for scalar inputs, fixed multinomial tests, added tests
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 fised bugs for different shapes support, tests updated
* Libnd4j: Add broadcastable elementwise power derivative #7461 applied all possible variants via tiled arrays, add support of broadcast for Pow and PowDerivative ops, covered by tests, before review have to be replaced tiled implementation by applyTrueBroadcast
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 replaced tile by broadcast implementation, fixed issue with negative x input, corrected tests, need additional testing
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 added and corrected test cases, corrected implementation need review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up
* Libnd4j: Add broadcastable elementwise power derivative #7461 code clean up, removed some tests, add tests with scalar
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 code improvement and clean up, split tests
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative #7461 some code clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* Libnd4j: Add broadcastable elementwise power derivative replace __isnanf by internal realization
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* pow_bp wrapper
* Fixed PowBp wrapper
* Tests added
* Test fixed
* Fix return type
* Disable powBp usage
* Pow backprop changed
Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* - implementation of depthwise_conv2d (both ff/bp) based on mkl dnn api
* - minor corrections in deconv3d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove unnecessary time test
Signed-off-by: Yurii <iuriish@yahoo.com>
* - update mkl dnn version in cmake
Signed-off-by: Yurii <iuriish@yahoo.com>
* - take into account several notes given by pr reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* - fix bug in depthwise conv2d op based on mkl
Signed-off-by: Yurii <iuriish@yahoo.com>
* libnd4j: RgbToYuv and YuvToRgb, both implementations for both cpu and cuda. Need adding tests and review
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToYuv and YuvToRgb, replace coords method on Tad in both cpu and cuda, add tests, fixed bugs
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToYuv and YuvToRgb minor corrections
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j: RgbToYuv and YuvToRgb corrections to use operations in-place
* - 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>
* 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 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>
* fix narrowing down cast
Signed-off-by: raver119 <raver119@gmail.com>
* trigger jenkins
Signed-off-by: raver119 <raver119@gmail.com>
* few more fixes for MSVC and Windows
Signed-off-by: raver119 <raver119@gmail.com>
* few more fixes for MSVC and Windows
Signed-off-by: raver119 <raver119@gmail.com>
* few more fixes for MSVC and Windows
Signed-off-by: raver119 <raver119@gmail.com>
* few more fixes for MSVC and Windows
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* - few more tweaks
- tensormmul dtype validation
Signed-off-by: raver119 <raver119@gmail.com>
* - few more tweaks
- batched gemm dtype validation
Signed-off-by: raver119 <raver119@gmail.com>
* - few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* - few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* - few more tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* - few more tweaks
Signed-off-by: raver119 <raver119@gmail.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.
* - further work on layer_norm
Signed-off-by: Yurii <yurii@skymind.io>
* - further work on layer_norm 2
Signed-off-by: Yurii <yurii@skymind.io>
* - correct helpers for svd cuda
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed axpy op.
* meh
Signed-off-by: raver119 <raver119@gmail.com>
* - fix tests for nativeOps::concat
Signed-off-by: Yurii <yurii@skymind.io>
* sequential transform/scalar
Signed-off-by: raver119 <raver119@gmail.com>
* allow nested parallelism
Signed-off-by: raver119 <raver119@gmail.com>
* assign_bp leak fix
Signed-off-by: raver119 <raver119@gmail.com>
* block setRNG fix
Signed-off-by: raver119 <raver119@gmail.com>
* enable parallelism by default
Signed-off-by: raver119 <raver119@gmail.com>
* enable nested parallelism by default
Signed-off-by: raver119 <raver119@gmail.com>
* 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
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* - some tests fixes
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* - correct the rest of reduce_ stuff
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* - further correction of reduce_ stuff
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* Added test for Cbow op. Also added cuda implementation for cbow helpers.
* - improve code of stack operation for scalar case
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* - provide cuda kernel for gatherND operation
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* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
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* minor tests tweaks
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* - further correction of cuda stuff
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* Implementatation of cbow op helper with cuda kernels. Working edition.
* Skip random testing for cudablas case.
* lstmBlockCell context fix
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* Added tests for ELU and ELU_BP ops.
* Added tests for eq_scalar, gt_scalar, gte_scalar and lte_scalar ops.
* Added tests for neq_scalar.
* Added test for noop.
* - further work on clipbynorm_bp
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* - get rid of concat op call, use instead direct concat helper call
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* lstmBlockCell context fix
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* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
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* operator * result shape fix
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* - correct typo in lstmCell
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* few tests fixed
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* CUDA inverse broadcast bool fix
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* disable MMAP test for CUDA
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* BooleanOp syncToDevice
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* meh
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* additional data types for im2col/col2im
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* Added test for firas_sparse op.
* one more RandomBuffer test excluded
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* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
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* mmulDot tests fixed
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* more tests fixed
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* Implemented floordiv_bp op and tests.
* Fixed scalar case with cuda implementation for bds.
* - work on cuda kernel for clip_by_norm backprop op is completed
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* Eliminate cbow crach.
* more tests fixed
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* more tests fixed
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* Eliminated abortion with batched nlp test.
* more tests fixed
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* Fixed shared flag initializing.
* disabled bunch of cpu workspaces tests
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* scalar operators fix: missing registerSpecialUse call
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* Fixed logdet for cuda and tests.
* - correct clipBynorm_bp
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* Fixed crop_and_resize shape datatype.
* - correct some mmul tests
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* 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)
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* 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)
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* 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
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* 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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