* - 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
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* - further work on cuda batched gamm api
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* - write own cuda kernel performing batched gemm
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* missing include in MmulHelper
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* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future
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* disable old tensordot
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* - rewrite cuda kernels for usualGemm and usualGemv
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* - profiling mmul helpers
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* - prints to check shapes were added
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* - correct type of output array Cin mmulNxN
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* - take into account possible nans in C array
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* slightly change numThreads message
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* - make corrections in accordance to given notes in pr review
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* 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
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* Fix float property mapping (flatbuffers)
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* Override equality function for model 'dropout'
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* Fail tests
* Failed tests ignored temporarily.
* Minor fixes
* Small fix
* Conflict resolved
* Default implementations of tensorflowName and onnxName
* one range test
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* few Context convenience singatures
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* one more range test
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* "range" "fix"
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* adjuct_contrast_v2 now allows scale factor to be provided via input_variable
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* adjust_contrast now allows scale factor as variable too
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* bitcast shape tests
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* BitCast import dtype added
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* few more BitCast signatures
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* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well
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* global platform-helpers trigger
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* few signatures renamed
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* - few new env variables to follow
- maxThreads/masterThreads differentiation
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* Javadoc update
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* 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.
* #8280 biasadd_bp nchw arg fixes (java side) + test
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* #8285 Concat op Java side fixes
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* Concat op cpp fix - allow dynamic axis to be negative, same as static axis
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* ignores for deconv3d import tests until deconv3d_tf op is implemented
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* - provide possibility to pass axis as last input array in concat op
- corrcect sumation in bias_add_bp op for NHWC case
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* - write code for deconv2d op based on mkl dnn api
* no unsafe math
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* no unsafe math
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* - get rid of e<> and p<> methods in svd helper
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* - provide mkl api support for deconvolution 3d
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* - write deconv2d_bp based on mkl api
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* - write deconv3d_bp based on mkl api
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* - testing and fixing deconv based on mkl api
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* - remove dilation form conv2d/3d mkl
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* - minor changes
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* - further corrections of deconv ops based on mkl dnn api
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* - provide deconv2d_tf based on mkl dnn api
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* - add minor corrections required by reviewer
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* 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
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* - 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
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* - made corrections required by reviewer
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* - change name in java wrapper for batchnorm op
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* - provide correct call NDArray::applyBroadcast inside of NDArray::applyTrueBroadcast
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* - provide new trueBroadcast helper
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* example for yurii
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* - provide new trueBroadcast helper for cpu
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* - start working on new trueBroadcat helper for cuda
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* - further work on trueBroadcast for cuda
Signed-off-by: Yurii <yurii@skymind.io>
* - fix bugs in cuda helper trueBroadcast
Signed-off-by: Yurii <yurii@skymind.io>
* 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
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* - 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>
* Fix repo links and clean up old github templates
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* More link updates
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* 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.
* Rename flatbuffers DataType enum to DType
Signed-off-by: Alex Black <blacka101@gmail.com>
* Rename flatbuffers DataType enum to DType
Signed-off-by: Alex Black <blacka101@gmail.com>
* Updates for flatbuffers datatype enum renaming
Signed-off-by: Alex Black <blacka101@gmail.com>
* - 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>
* 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
Signed-off-by: raver119 <raver119@gmail.com>
* - provide new cuda kernel for softmax
Signed-off-by: Yurii <yurii@skymind.io>
* - further work on cuda kernel for softmax
Signed-off-by: Yurii <yurii@skymind.io>
* - correction cuda kernel for softmax
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
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* Eye data type as T argument
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* 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
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* - 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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* CUDA empty reduction
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* - listdiff synchronization fix for CUDA
- listdiff test
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* - IndexReduce ops now allow INDEXING_TYPES output
- topK op accepts only INDEXING_TYPES as output
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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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* one test for size
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* - few tests for size op
- size/rank/size_at ops now use p instead of assign
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* throw exception if op execution failed
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* expected for test
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* one more ismax test
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* ismax view fix
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raver119
Yurii Shyrma
Alex Black
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Alexander Stoyakin
Yves Quemener
Ryan Nett
Yurii Shyrma