* Added implementation files for image_resize and resize_bicubic ops.
* Image resize and image.resize_bicubic ops implementation. Initial revision.
* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.
* Refactored resize methods.
* Added processing for Mitchelcubic algorithm.
* Added check for input/output sizes.
* Added int and float types for crop_and_resize op.
* Refactored crop_and_resize output type check.
* Added helper for bicubic interpolation as TF v.1 does.
* Added TF v.1 bicubic helper for cuda platform.
* Added cached class for bicubic algorithm.
* Refactored cuda implementation for crop_and_resize helper to use proper output type.
* Added facilities for bicubic interpolation.
* Portion bicubic interpolation from TF.
* Added tests for resize_bilinear testing.
* Working implementation of bicubic interpolation and tests.
* Refactored routines with image_resize bicubic op helper.
* Refactored code with coding standards.
* Refactored cpu helpers for resize_bicubic op.
* Refactored bicubic helpers.
* Added bicubic resize facilities.
* Implementing cuda kernels for bicubic interpolation. Implementation step.
* Cuda implementation of resize_bicubic op helper.
* Refactor image.resize_bicubic op helpers.
* Refactored helpers for resize_bicubic. Added error checking with cuda implementation.
* Refactored cuda implementation of resize_bicubic op helper. The first working revision.
* Cuda arch implementation for resize_bicubic op helper. Full working single-threaded revision.
* Intermediate bicubic interpolation helper for cuda.
* Refactored cpu helper for resize_bicubic.
* Multithreaded cuda implementation for resize_bicubic.
* Fixed merge issues.
* Refactored nlp helpers.
* Replicated resize_bicubic for 3D also.
* Eliminated waste comments of unused code.
* Eliminated waste comments with unused code.
* Eliminated waste template definitions.
* Eliminated waste debug code.
* Eliminated waste comments.
* Fixed multithreading with helpers.
* Fixed test suites for float and double in float point input lists.
* Fixed usage of reshape with 3D/4D on resizes.
* Final fixes.
* Fixed resize_neighbor op problem.
* Added a pair of tests for failed ops.
* Fixed cpu helper for draw_bounding_boxes op.
* Refactored implementation of draw_bounding_boxes op to full conform with TF.
* Improved multithreading with draw_bounding_boxes op cuda helper.
* Eliminated log messages.
* Changed logging with draw_bounding_boxes op helper and tests.
* Resize_biliear with 3D input allowed.
* Refactored 3D input acception with resize_bilinear op.
* And another improvement.
* Refactored reshape of input/output for resize_bilinear.
* Improvements final.
* Finished with 3D replication for image.resize_bilinear/_nearest_neighbor.
* Added copyrights for TF code.
* Using new form of multithreading for cpu implementation.
* Fixed shape error.
* Added multithreaded with batches on crop_and_resize functor.
* Refactored multithreading with crop_and_resize and draw_bounding_boxes.
* - get rid of some copy procedures in mmulHelper ops
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on embedding cuda api for batched gemm (cublasGemmBatchedEx) in our mmulHelper class
Signed-off-by: Yurii <iuriish@yahoo.com>
* - further work on cuda batched gamm api
Signed-off-by: Yurii <iuriish@yahoo.com>
* - write own cuda kernel performing batched gemm
Signed-off-by: Yurii <iuriish@yahoo.com>
* missing include in MmulHelper
Signed-off-by: raver119 <raver119@gmail.com>
* - forgot to keep in code previous correct kernels for mmulNxN, since it may happen that new onw will fail for some reason in future
Signed-off-by: Yurii <iuriish@yahoo.com>
* disable old tensordot
Signed-off-by: raver119 <raver119@gmail.com>
* - rewrite cuda kernels for usualGemm and usualGemv
Signed-off-by: Yurii <iuriish@yahoo.com>
* - profiling mmul helpers
Signed-off-by: Yurii <iuriish@yahoo.com>
* - prints to check shapes were added
Signed-off-by: Yurii <iuriish@yahoo.com>
* - correct type of output array Cin mmulNxN
Signed-off-by: Yurii <iuriish@yahoo.com>
* - take into account possible nans in C array
Signed-off-by: Yurii <iuriish@yahoo.com>
* slightly change numThreads message
Signed-off-by: raver119 <raver119@gmail.com>
* - make corrections in accordance to given notes in pr review
Signed-off-by: Yurii <iuriish@yahoo.com>
* Added implementation files for image_resize and resize_bicubic ops.
* Image resize and image.resize_bicubic ops implementation. Initial revision.
* Minor fix
* Some TF imports disabled.
* Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation.
* Refactored resize methods.
* Added processing for Mitchelcubic algorithm.
* adjust_contrast
* Small fix for TF import expected value loading when variable name starts with the test name
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Tests
* Tests added.
* Removed tf names absent in mapping.
* Some fixes.
* Small fixes
* Minor change
* Some failing tests.
* Disable failed test
* Ignore some tests
* Fix import class mapping
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fix float property mapping (flatbuffers)
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Override equality function for model 'dropout'
Signed-off-by: AlexDBlack <blacka101@gmail.com>
* Fail tests
* Failed tests ignored temporarily.
* Minor fixes
* Small fix
* Conflict resolved
* Default implementations of tensorflowName and onnxName
* clang as compiler for jcpp
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
* we don't need macos profile
Signed-off-by: raver119 <raver119@gmail.com>
* one range test
Signed-off-by: raver119 <raver119@gmail.com>
* few Context convenience singatures
Signed-off-by: raver119 <raver119@gmail.com>
* 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>
* - platform helpers can be disabled on per-op basis now via Context::allowHelpers
- java has access to it as well
Signed-off-by: raver119 <raver119@gmail.com>
* global platform-helpers trigger
Signed-off-by: raver119 <raver119@gmail.com>
* few signatures renamed
Signed-off-by: raver119 <raver119@gmail.com>
* - few new env variables to follow
- maxThreads/masterThreads differentiation
Signed-off-by: raver119 <raver119@gmail.com>
* Javadoc update
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.
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raver119
Max Pumperla
Fariz Rahman
Yurii Shyrma
Alex Black
Serhii Shepel
Robert Altena
Alexander Stoyakin
Samuel Audet
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