GitLab

* Dynamic shape handling in shape object

* rewrite empty lens multibroadcast test

* Shape class changes to handle dynamic
* More throw errors for functions that don't make sense for dynamic shape
* Print output changes
* Serialization changes

* Fixing serialization errors

* Remove const on dyn_dim copy getters

* Dynamic shape tests

* Fix serialize errors

* Add dyn_data struct to avoid ambiguous constructor

* Tidy fix: emplace_back() over for loop

* Tidy fix: use move

* Use std::initializer_list in constructor
Reverts the dyn_data struct change
Should get around the ambiguous braced initialization list error

* avoid typedef

* element_space, min,max,opt _lens change

* formatting

* Comments fix

* dynamic bytes() test

* Seralize and reflect changes

* formatting

* Test the dynamic lens functions

* progress

* Formatting

* Dynamic conv draft progress

* Add operator<< tests for coverage

* Coverage update

* Add to conv dynamic batch test

* Dynamic image size test

* Dynamic weight handling

* Dyn image shape test change, fix dyn weight cond

* Comment update

* Dynamic weights shape test and fix

* Use ternary operator

* Tidy fixes

* Handle dynamic graph input shapes in ONNX parser

* Formatting

* Handle dynamic shape for convolution

* formatting

* cppcheck fixes

* Add onnx test files

* Fix typo

* Disable auto_pad for dynamic input shape

* check_shapes object checks for allowing dynamic shapes

* Fix any_of

* Change to maintain const objectness

* Formatting

* Check shapes allow dynamic

* Refactor compute_shape() call into op.compute()
Allows for per operator differences with handling dynamic shape
Fix operation.hpp change to use the generator

* Comment fix

* Refactor normalize_attributes() calls to use max_lens()

* Comment addition

* Update other normalize_attributes() calls

* Change to using constructor and add tests

* Use const member function

* Add more dynamic shape support

* Add tests for error code coverage

* Fix opt shape bug and add shape tests

* capture all by ref

* Fix typo with img shape calculation

* Add more tests

* dynamic auto pad attempt
Linker error with pad_calc.cpp

* Fix parse dyn auto_pad
Should only need to use dynamic auto pad when the image shape or kernel
shape are dynamic. For a dynamic batch size, the auto pad calculation is
the same.

* Fix linking error

* Fix auto_pad bug
Fixed input tensor with auto_pad setting on

* auto_pad onnx tests

* Fix auto_pad calculation, evaluate in ref_conv
add ref_ops tests

* Add shape tests, fix bugs

* Refactor first two output dynamic len calculation

* Conv MLIR test update

* i64 MLIR test fix

* Fix MLIR test typo
Co-authored-by: Chris Austen <causten@users.noreply.github.com>

Updated each source file in the repo with the existing license.

* Normalize compute functions

* Formatting

* Save normalization flag to the file

* Formatting

* Remove tuned functions

* Formatting

* Use in_index
Co-authored-by: Shucai Xiao <shucai@gmail.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* add a pass to normalize ops

* clang format

* add unit tests

* clang format

* code backup

* clang format

* code backup

* clang format

* add support for slice in the normalize_op function

* clang format

* add operation method api for whether we need to call normalize_op

* clang format

* fix review comments

* clang format

* rename a function namejJ

* clang format

* change compute_shape to normalize_compute_shape for corresponding operators

* clang format

* remove unnecessary code

* fix various issues

* clang format

* add attributes to operators having axis attributes

* clang format

* fixed jenkins build error

* clang format

* fix a bug related to slice

* clang format

* code backup

* clang format

* code backup

* clang format

* rename a file

* fix cppcheck error

* some code refinement

* clang format

* change attributes to enum

* clang format

* refine the enum

* clang format

* remove unnecessary code

* add unit tests for more code coverage and fixed a bug

* clang format

* remove unnecessary changes

* change normalize_axes to normalize

* clang format

* revert back the changes in broadcast.hpp

* rename normalize_axes to normalize

* fix review comments

* clang format

* Add flag to enable cpu backend

* Make buffers shared

* Enable optimizations

* Formatting

* Try to avoid ambiguous assign in value class

* fixed a build error

* clang format

* add the normalize_ops pass to the ref target

* refactor program to module to normalize_ops pass
Co-authored-by: Paul <pfultz2@yahoo.com>
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>