* resize_bicubic: allow more dtypes
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* resize_bicubic: allow less dtypes
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* 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.
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* Finished with correction of tests for bicubic interpolated resizes expected.
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* Fixed adjust_contrast ops to allow non-RGB inputs.
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* Refactored adjust_contrast_v2 to conform with TF one.
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* AdjustContrast tests activated
* two typos fixed
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* cleaned up bert iterator tests (#110)
Signed-off-by: eraly <susan.eraly@gmail.com>
* Various pre-release fixes (#111)
* Various fixes
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* Fix default dtypes for MaxPoolWithArgmax
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* Small pre-release tweak (#112)
* Log UI address on launch as in previous Play-based UI
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* Logging level tweak for UI
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* http not https
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* datavec python ensure host (#113)
* ensure host
* one more host ensure
* info->debug
* [WIP] reverse improvements (#115)
* initial commit
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* reverse draft
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* reverse kernel
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* reverse kernel
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* 2 micro fixes
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* Shugeo resize fix5 (#102)
* Refactored resize images ops to use TF-like bool args as input.
* Refactored helpers for cpu implementation of resize_bilinear and resize_nearest_neighbor ops.
* Refactored cuda implementation for image.resize_bilinear and image.resize_nearest_neighbor ops helpers.
* Refactored nearest_neighbor resize op.
* Added a pair of tests for special case of resize_bilinear algorithm.
* Fixed issue with resize_bilinear op.
* Refactored cpu implementation for helpers with resize_nearest_neighbor op.
* Final fixed for resize ops to conform TF v.1.5
* Refactored cuda helpers for resize_neares_neighbor op.
* Fixed resize_bilinear to accept proper data.
* Fixed issue with non-float input for resize_bilinear op.
* Refactored cuda helper for resize_bilinear to proper process non-float inputs.
* Added tests for resize_bilinear to int inputs.
* Fixed ResizeBilinear wrapper
* Tests fixed
* Fixed float and bool constant to avoid overflow for some kind of compilers.
* Corrected float constants with float data type.
* Added f suffix for float constants.
* Corrected float constant to avoid overflow with initializing lists.
* Corrected float initializing list with float input.
* Corrected bool constant with initalizing list.
* Corrected float and bool values with initializing lists.
* Fixed wrong constant.
* Fixed issue with 1x1 input picture for resize.
* ResizeBilinear default values on import fix
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* 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
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* - add padding calculation in same mode in causal conv1d op for right mkl paddings
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct causal condition in mkldnnUtils.cpp
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* - correct some code which caused additional round errors is betainc op
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* - put float in place of template parameter in nan assign in betainc op
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* - 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
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* - fix bug in betainc cuda kernel
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* - start working on implementation of digamma function
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* - further work on digamma function (cpu)
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* - testing and fixing bugs in digamma op
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* - make correction n cuda kernel for polyGamma
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* - remove unnecessary stuff from betaInc cuda kernel
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* - resolve conflicts in DeclarableOpsTests3.cpp after master branch has been merged
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* - restore id number of Not opertion in legacy_ops.h
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* - correct padding calculation in mkl dnn conv1d causal
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* restore empty check in adjust_contrast_v2
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* fix narrowing down cast
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* trigger jenkins
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* few more fixes for MSVC and Windows
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* few more fixes for MSVC and Windows
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* few more fixes for MSVC and Windows
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* few more fixes for MSVC and Windows
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* few more tweaks
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* few more tweaks
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* few more tweaks
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* few more tweaks
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* few more tweaks
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* - few more tweaks
- tensormmul dtype validation
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* - few more tweaks
- batched gemm dtype validation
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* - few more tweaks
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* - few more tweaks
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* - few more tweaks
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* - few more tweaks
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* - add causal mode of padding to convolutions
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* - add additional tests for causal conv1d
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* - add causal mode for cuda conv kernels
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* Java side of Conv1D changes
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* Add Conv1DDerivative op
Signed-off-by: Alex Black <blacka101@gmail.com>
* Causal Conv1D gradient checks
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* Tweaks
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* - add causal padding mode to conv2d_bp
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* 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
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* 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
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* missing var
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* 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
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* Refactored segment prod ops and helpers for cuda and tests.
* Additional test.
* CudaWorkspace tests updated for 8 tail bytes
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* special atomic test
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* atomicMul/atomicDiv fix for 16bit values
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* Eliminated waste prints.
* - improve performance of scatter (no lock) ops for 1D case
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* - improve scatter lock op performance for 1D case
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* - add kernel for verification of input indices-array elements in scatter and scatter_nd ops
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* - provide fast indices checking on cpu side for scatter and gather osp
Signed-off-by: Yurii <iuriish@yahoo.com>
* - apply corrections requested by pr reviewer
Signed-off-by: Yurii <iuriish@yahoo.com>
* Corrected input checking and tests for bitcast op.
* Fixed an issue with non_max_suppression form generation and processing with score threshold given.
* Fixed bilinear resize kernel and tests.
* push for Serhii
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* 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
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* Refactored non_max_suppression helper.
* Refactored shape generation and input handling.
* Added additional test.
* - profiling cuda kernels for vol2col and im2col
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct addBias helper
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* - correct mkl dilation formula and switch off mkl api for dilation deconvolutions
Signed-off-by: Yurii <iuriish@yahoo.com>
* - create op
- skip exec for empty inputs for non_max_suppression
- EmptyHandling idea
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* Create op and mapping for it
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* Added implementation files for image_resize and resize_bicubic ops.
* Image resize and image.resize_bicubic ops implementation. Initial revision.
* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.
* Refactored resize methods.
* Added processing for Mitchelcubic algorithm.
* Added check for input/output sizes.
* Added int and float types for crop_and_resize op.
* Refactored crop_and_resize output type check.
* Added helper for bicubic interpolation as TF v.1 does.
* Added TF v.1 bicubic helper for cuda platform.
* Added cached class for bicubic algorithm.
* Refactored cuda implementation for crop_and_resize helper to use proper output type.
* Added facilities for bicubic interpolation.
* Portion bicubic interpolation from TF.
* Added tests for resize_bilinear testing.
* Working implementation of bicubic interpolation and tests.
* Refactored routines with image_resize bicubic op helper.
* Refactored code with coding standards.
* Refactored cpu helpers for resize_bicubic op.
* Refactored bicubic helpers.
* Added bicubic resize facilities.
* Implementing cuda kernels for bicubic interpolation. Implementation step.
* Cuda implementation of resize_bicubic op helper.
* Refactor image.resize_bicubic op helpers.
* Refactored helpers for resize_bicubic. Added error checking with cuda implementation.
* Refactored cuda implementation of resize_bicubic op helper. The first working revision.
* Cuda arch implementation for resize_bicubic op helper. Full working single-threaded revision.
* Intermediate bicubic interpolation helper for cuda.
* Refactored cpu helper for resize_bicubic.
* Multithreaded cuda implementation for resize_bicubic.
* Fixed merge issues.
* Refactored nlp helpers.
* Replicated resize_bicubic for 3D also.
* Eliminated waste comments of unused code.
* Eliminated waste comments with unused code.
* Eliminated waste template definitions.
* Eliminated waste debug code.
* Eliminated waste comments.
* Fixed multithreading with helpers.
* Fixed test suites for float and double in float point input lists.
* Fixed usage of reshape with 3D/4D on resizes.
* Final fixes.
* Fixed resize_neighbor op problem.
* Added a pair of tests for failed ops.
* Fixed cpu helper for draw_bounding_boxes op.
* Refactored implementation of draw_bounding_boxes op to full conform with TF.
* Improved multithreading with draw_bounding_boxes op cuda helper.
* Eliminated log messages.
* Changed logging with draw_bounding_boxes op helper and tests.
* Resize_biliear with 3D input allowed.
* Refactored 3D input acception with resize_bilinear op.
* And another improvement.
* Refactored reshape of input/output for resize_bilinear.
* Improvements final.
* Finished with 3D replication for image.resize_bilinear/_nearest_neighbor.
* Added copyrights for TF code.
* Using new form of multithreading for cpu implementation.
* Fixed shape error.
* Added multithreaded with batches on crop_and_resize functor.
* Refactored multithreading with crop_and_resize and draw_bounding_boxes.
* - get rid of some copy procedures in mmulHelper ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on cuda batched gamm api
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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
Signed-off-by: Yurii <iuriish@yahoo.com>
* Added implementation files for image_resize and resize_bicubic ops.
* Image resize and image.resize_bicubic ops implementation. Initial revision.
* Minor fix
* Some TF imports disabled.
* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.
* Refactored resize methods.
* Added processing for Mitchelcubic algorithm.
* adjust_contrast
* Small fix for TF import expected value loading when variable name starts with the test name
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests
* Tests added.
* Removed tf names absent in mapping.
* Some fixes.
* Small fixes
* Minor change
* Some failing tests.
* Disable failed test
* Ignore some tests
* Fix import class mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix float property mapping (flatbuffers)
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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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AlexDBlack
raver119
Yurii Shyrma
Alexander Stoyakin
shugeo
Samuel Audet