* - 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.
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea
Signed-off-by: raver119 <raver119@gmail.com>
* Create op and mapping for it
Signed-off-by: raver119 <raver119@gmail.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
* one range test
Signed-off-by: raver119 <raver119@gmail.com>
* few Context convenience singatures
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* one more range test
Signed-off-by: raver119 <raver119@gmail.com>
* "range" "fix"
Signed-off-by: raver119 <raver119@gmail.com>
* adjuct_contrast_v2 now allows scale factor to be provided via input_variable
Signed-off-by: raver119 <raver119@gmail.com>
* adjust_contrast now allows scale factor as variable too
Signed-off-by: raver119 <raver119@gmail.com>
* bitcast shape tests
Signed-off-by: raver119 <raver119@gmail.com>
* BitCast import dtype added
Signed-off-by: raver119 <raver119@gmail.com>
* few more BitCast signatures
Signed-off-by: raver119 <raver119@gmail.com>
* 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.
* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for deconv2d op based on mkl dnn api
* no unsafe math
Signed-off-by: raver119 <raver119@gmail.com>
* no unsafe math
Signed-off-by: raver119 <raver119@gmail.com>
* - get rid of e<> and p<> methods in svd helper
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide mkl api support for deconvolution 3d
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write deconv2d_bp based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write deconv3d_bp based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing deconv based on mkl api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - remove dilation form conv2d/3d mkl
Signed-off-by: Yurii <iuriish@yahoo.com>
* - minor changes
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further corrections of deconv ops based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - provide deconv2d_tf based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - add minor corrections required by reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* 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.
* - write code for new batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing batchnorm backprop
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write code for batchnorm backprop based on mkl dnn api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - testing and fixing bugs in batchnorm_bp mkl dnn
Signed-off-by: Yurii <iuriish@yahoo.com>
* - made corrections required by reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* - change name in java wrapper for batchnorm op
Signed-off-by: Yurii <iuriish@yahoo.com>
* - 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()
Signed-off-by: Yurii <shyrma@skymind.io>
* - move getIndexOffsetOrdered to flatten.h header in order to isolate this function
Signed-off-by: Yurii <shyrma@skymind.io>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* - correct formula of pnorm pooling in cuda 2d/3d kernels
- remove helper matrix_diag which duplicates work of helper matrix_set_diag
Signed-off-by: Yurii <yurii@skymind.io>
* - add one additional test for svd
* - provide float argument in eye op to be a type of output array
Signed-off-by: Yurii <yurii@skymind.io>
* - add cuda capability check to mmulHelper
Signed-off-by: Yurii <yurii@skymind.io>
* - make use another method for divice id evaluation
Signed-off-by: Yurii <yurii@skymind.io>
* Eye data type as T argument
Signed-off-by: raver119 <raver119@gmail.com>
* - start working on space_to_batch_nd
Signed-off-by: Yurii <yurii@skymind.io>
* - provide cpu helper for space_to_batch_nd op
Signed-off-by: Yurii <yurii@skymind.io>
* few typos fixed
Signed-off-by: raver119 <raver119@gmail.com>
* - add tests for space_to_batch and correct bugs
Signed-off-by: Yurii <yurii@skymind.io>
* - write cuda kernel for space_to_batch op
Signed-off-by: Yurii <yurii@skymind.io>
* - add order argument to shape::index2coords method in convolution cuda ops
Signed-off-by: Yurii <yurii@skymind.io>
* - restore some previous code
Signed-off-by: Yurii <yurii@skymind.io>
* old col2im kernel activated
Signed-off-by: raver119 <raver119@gmail.com>
* - change coords calculation in col2im kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - restore old col2im kernel
Signed-off-by: Yurii <yurii@skymind.io>
* - add custom op for batch_to_space
Signed-off-by: Yurii <yurii@skymind.io>
* - provide cpu version for batch_to_space_nd op
Signed-off-by: Yurii <yurii@skymind.io>
* - 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.
* 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
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
Signed-off-by: Yurii <yurii@skymind.io>
* Implementation of cbow helpers with cuda kernels.
* minor tests tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* minor tests tweaks
Signed-off-by: raver119 <raver119@gmail.com>
* - further correction of cuda stuff
Signed-off-by: Yurii <yurii@skymind.io>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* Added tests for lrelu and lrelu_bp.
* Added tests for selu and selu_bp.
* Fixed lrelu derivative helpers.
* - some corrections in lstm
Signed-off-by: Yurii <yurii@skymind.io>
* operator * result shape fix
Signed-off-by: raver119 <raver119@gmail.com>
* - correct typo in lstmCell
Signed-off-by: Yurii <yurii@skymind.io>
* few tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* CUDA inverse broadcast bool fix
Signed-off-by: raver119 <raver119@gmail.com>
* disable MMAP test for CUDA
Signed-off-by: raver119 <raver119@gmail.com>
* BooleanOp syncToDevice
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* meh
Signed-off-by: raver119 <raver119@gmail.com>
* additional data types for im2col/col2im
Signed-off-by: raver119 <raver119@gmail.com>
* Added test for firas_sparse op.
* one more RandomBuffer test excluded
Signed-off-by: raver119 <raver119@gmail.com>
* Added tests for flatten op.
* Added test for Floor op.
* bunch of tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* mmulDot tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* 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
Signed-off-by: Yurii <yurii@skymind.io>
* Eliminate cbow crach.
* more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* Eliminated abortion with batched nlp test.
* more tests fixed
Signed-off-by: raver119 <raver119@gmail.com>
* Fixed shared flag initializing.
* disabled bunch of cpu workspaces tests
Signed-off-by: raver119 <raver119@gmail.com>
* scalar operators fix: missing registerSpecialUse call
Signed-off-by: raver119 <raver119@gmail.com>
* 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>
* Conv Config validation & tests
Signed-off-by: Ryan Nett <rnett@skymind.io>
* stackOutputs utility method
Signed-off-by: Ryan Nett <rnett@skymind.io>
* use constructor for validation, support negative kernel sizes (infered from weights)
Signed-off-by: Ryan Nett <rnett@skymind.io>
* better output methods
Signed-off-by: Ryan Nett <rnett@skymind.io>
* move output to be with fit and evaluate
Signed-off-by: Ryan Nett <rnett@skymind.io>
* fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* more fixes
Signed-off-by: Ryan Nett <rnett@skymind.io>
* initial commit
Signed-off-by: raver119 <raver119@gmail.com>
* - gruCell_bp further
Signed-off-by: Yurii <yurii@skymind.io>
* - 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
Signed-off-by: Yurii <yurii@skymind.io>
* - 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
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* 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
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* 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
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* Added cuda device prefixes to declarations.
* Implementation of hashcode op with cuda helper. Initital revision.
* rnn cu impl removed
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* minor cmake changes to make macos happy
* space_to_batch/batch_to_space validation fix
* - choose op tweaks
- tests updated to match appleid tweaks
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* - get rid of bad import
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* - choose now uses shape function
- choose test updated
* Shugeo strided slice zeros (#14)
* Modified strided_slice op to properly work with empty-like shapes.
* Fixed test for reduce_mean with empty-like input.
* [WIP] Last merge (#15)
* correct logsoftmax looss (#2)
* Small SameDiff listener fix (#4)
* Various fixes (#6)
* #7839 Fix for asXMatrix and tests
* #7866 EmbeddingSequenceLayer dtype fix + test
* #7856 SameDiff save/load stream methods
* #7859 RegressionEvaluation rank 4 fix + tests + axis configuration
* EvaluationBinary 3d/4d
* More evaluation 3d/4d tests
* #7847 Evaluation empty checks
* Small test ifx
* #7848 Fix median edge case
* Improve DL4J samediff layer tests
* [WIP] FastText wrapper implemented (#8)
* FastText implemented
* Some fixes
* Fix shapes for wordsNearest
* Validation of input vectors
* Fixes
* Fixed test
* Thread tagged
* Some tweaks
* setContextClassLoader for DeallocatorServiceThread
* Numpy format tests (#1)
* Various fixes (#11)
* #7852 SameDiff gather fix
* #7892 SameDiff placeholder to constant conversion
* #7890 validate input rank for MLN/CG init methods
* Fix broken permute shape calculation
* Permute and gather fixes
* Tests
* #7850 LogSumExp fix + test
* Handful of test fixes
* Empty arrays with non-scalar shapes (#10)
* minor rearrangements for lambdas
* empty tensors with non-scalar shapes
* numpy empty tensors with non-scalar shapes
* few more empty tweaks
* Small fixes
* conv3d signature update
* micro fix in batchnorm mkldnn
* Import fixes
* Fix
* MKL-DNN update
* Small fill fix
* fill with empty input + test
* Fixes
* Small error improvement
* Fix
* one special test
* couple of fixes for lstm
* Rewrite TFGraphMapper.getNDArrayFromTensor to be maintainable and less error prone
* Fixes
* FP16
* Unsigned
* BFloat16
* Fill op - empty tweaks
* - couple of fixes for empty arrays construction
- stack updated
* strided slice fix
* one transform test
* provide method for reducing shapeInfo in case of input array is empty
* Fixed reduceAlongDimensions to use empty input properly.
* couple of broadcast tests
* couple of tests broadcast tests + tweak to make them pass
* add check of non-empty to methods producing sub-arrays
* Fixed reshapeC with zeros in shape.
* complete empty check in reduce_... legacy ops
* Concat and cumsum/prod
* Tweak to empty shape inference on import
* add empty check to the rest of reduce legacy ops
* one more test
* correct typo in evalReduceShapeInfoEmpty
* Added tests for reduce_* ops to tests with zero shapes.
* few more tests for empty reductions
* Fixed strided_slice op with empty case and tests.
* one more empty reduction test
* Fixed strided_slice test.
* add empty check to NDArray::reshapei
* infOrMax
* empty min/max with infinity tests
* made unstack working correctly with empty arrays
* few IndexReduce tests + tweaks for empty shapes
* add test for empty concat
* few tests fixed
* Validation fix for reductions on empty shapes
* Reverse fix
* Reduction shape calc fixes
* SameDiff.generateOutputVariable: don't use shape function to determine number of outputs
* Range fix
* - NDArray constructor updated for scalars/empty arrays
- few tests fixed
* More fixes
* Empty creator fixes
* concat fix
* concat fix
* TF import tests: allow 'both all NaN' and 'both all inf' to pass
* Slice, zero fraction, and reshape fixes
* transpose, gather
* Zero fraction
* scalar cast fix
* Empty reduction axis support
* few more tests fixed
* Fixed input checks conforming with TF for concat op and tests.
* few tests fixed
* matmul scalar shape fix
* Fixed checkout for data type and scalarity with concat to allow non-empty scalars with vector concats.
* broadcast bool fix
* few more tests
* few more tests
* correct evalReduceShapeInfoEmpty
* argmax/argmin + tests
* one more empty edge case + one more test
* argmax/argmin/realdiv_bp tweaks
* empty reshape test + fix
* Helper fixes
* Small fixes
* Gather test fix
* Gather test fix
* Small fixes
* reduce scalar zero values
* scalar mean workaround
* Remove debug code
* along dim mean workaround
* one more test
* - equalsTo() tweak for empty arrays
- one more test
* broadcast tweaks
* [WIP] Fixing outstanding issues for NLP (#9)
* Avoid using not-inited objects
* Test fixed.
* Redundant method avoided for models like FastText
* KMeans++ implementation
* KMeans++ implementation
* Disable parallel execution
* KMeans++
* Tests
* Dev branch merge (#16)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Fix some issues on master (#17)
* Fix DataVec test issue
* Fix issue with dl4j SameDiff output layer
* Dtype fix for lambda layers
* #7912 BertIterator dtype fix (use float32 not global default)
* [WIP] Next set of CUDA stuff (#7)
New CUDA implementations and improvements
* bad file
* Dev branch master merge (#23)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Compatibility of deserialization (#18)
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff: add activation gradient checking support for debugging (#19)
* SameDiff gradient checker: first pass on activation gradient checks
* Fixes + tests for activation gradient checking
* Javadoc
* [WIP] Some nd4j data type corrections (#20)
* Adjust data type
* Set correct Data type.
* Size of proper data type.
* fix averaged cpu load (#22)
* SameDiff ops, TF import and fixes (#24)
* CheckNumerics tests + fixes + misc fixes
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fake quant
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* Fixes
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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
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* [WIP] Final dev branch merge (#29)
* SameDiff: convertDataType and gradient check util improvements (#12)
* GradCheck util improvements
* StopGradient constructor + test
* SameDiff: Add datatype conversion
* Javadoc and add DataType.isNumerical()
* Small fix
* Fix SameDiff TF import test cases intermediate naming (workaround for bad default)
* TFGraphTestAllHelper: check intermediates in execution order
* Add missing debug listener
* [WIP] lstmBlock fix + other changes (#13)
- fixes lstmBlock issue
- changes NDArray method reshape(), permute(), transpose() by making them return instance instead of pointer
- CheckNumerics op
- fixes for ReduceBool IsInfOrNan & IsFinite
* Small test fix
* CheckNumerics op wrapper
* Compatibility of deserialization (#18)
Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
* SameDiff: add activation gradient checking support for debugging (#19)
* SameDiff gradient checker: first pass on activation gradient checks
* Fixes + tests for activation gradient checking
* Javadoc
* [WIP] Some nd4j data type corrections (#20)
* Adjust data type
* Set correct Data type.
* Size of proper data type.
* fix averaged cpu load (#22)
* [WIP] Multiple dataset iterators (#27)
* Splitting dataset into arbitrary number
* Fixes
* Multiple split of iterator
* Test
* Test
* Some fixes
* signature change
* one more tweak
Signed-off-by: raver119 <raver119@gmail.com>
* one more test for sequential use of DataSetIteratorSplitter
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* Fixes
* Fixes
* one more test for Alexander
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* Some fixes
* Some fixes
* one more test for Alexander
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* minor test fix
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* Some fixes
* Some fixes
* couple of assertions tweaked
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* MDS splitter test :/
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* Minor refactoring
* Multi dataset
* Some fixes
* More tests
* Small number of test fixes/improvements (failures on CI) (#31)
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* [WIP] More CUDA stuff (#26)
* initial commit
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* LRN BP CUDA
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* less memory
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* Fixed bug with crop_and_resize op helper.
* get rid of unnecessary index-calculation dunction
Signed-off-by: Yurii <yurii@skymind.io>
* Fixed sort with nth_element cuda-based helper.
* Refactored nth_element.
* Refactored nth_element op and tests.
* Modified usage of dim array with sortTad routine.
* Refactored main routine of helper for non_max_image_suppression op.
* non_max_image_suppression op helper with cuda kernel implementation. Initial revision.
* fix vol2col cuda kernel
* meh
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* topK concept
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* unsorted topK with scanWitdh of 1
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* correct vol2col tests
* sorted/unsorted topK
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* implementation and fixing col2im/col2vol
* Corrected usage flags with input/output with reverse op.
* dup is const now
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* percentile op
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* group tests for mapool2d
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* special test for george
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* less threads for sortTad
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* provide conv2d for cuda
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* remove auther in sort tad kernel code
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* provide depthwise_conv2d for cuda
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* - max_pooling_with_argmax
- null check for special use
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* dts cuda
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* provide sconv2d for cuda
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* std cuda
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* Refactored non_max_suppression op to conform TF implementation.
* Improved suppression helper.
* provide pooling3d for cuda
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* minor lstm rearrangements
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* more of minor lstm rearrangements
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* (bi)dynamic_rnn
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* templates init order
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* Refactored non_max_suppression op.
* Added cuda kernel for non_max_suppression.
* CPU sort by key/value
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* CPU sort TAD by key/value
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* CPU sort TAD by key/value tests
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* Eliminate compiler error with cuda implementation.
* - repaired gradCheck in cuda
- provide conv2d_bp for cuda
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* missed signature
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* provide depthwise_conv2d_bp for cuda
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* Implementation of lup helper with cuda kernel. Initial commit.
* further work on backprops for convolutions
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* CUDA linear sort by key/val
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* CUDA tad sort by key/val
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* start providing of backprop for pooling2d/3d
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* Added atomicAdd for bool datatype.
* dynamic partition concept
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* dynamic partition concept
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* dynamic partition scalar CUDA
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* important comment
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* fix pooling2d/3d backprop helpers
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* Added non-linear test with dynamic_partition.
* Improved test for dynamic_partition.
* dynamic_partition TAD concept
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* - dynamic_partition TAD CUDA impl
- dynamic_partition TAD CPU fix
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* - rewrite cpu code for usampling2d/3d
- write cuda code for usampling2d/3d
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* dynamic_stitch CUDA vector case
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* dynamic_stitch CUDA TAD case concept
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* dynamic_stitch CUDA TAD case impl
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* Added tests for dynamic_stitch 3D-4D cases.
* minor tests tweaks
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* Fixed type check for dynamic stitch.
* min/max bp
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* rewrite code for upsampling2d/3d cpu
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* reduce min/max/norm_max bp
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* lup implementation. Additional enhancements.
* provide code for upsamling2d/3d backprop
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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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