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Currently, quantizing a program with rnn layers to fp16 results in segmentation faults due to a "convert" operation being applied to an "undefined" instruction.

The following changes are implemented to fix this issue:

Added is_undefined method to the instruction class that returns true if all inputs to the instruction are from an undefined op.
Updated rewrite_rnn pass to use the new is_undefined method rather than checking ins->name()
Updated the dead_code_elimination pass to also use this new method rather than only checking the instruction name

* 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.

* add allocate op header

* formatting

* add replace_allocate pass

* formatting

* move output param to remove_allocate pass

* formatting

* fix bugs in replace_allocate pass

* formatting

* fix verify if tests

* formatting

* move if op logic

* formatting

* cleanup lowering

* cleanup lowering

* formatting

* fix tidy

* formatting

* fix tidy

* add cpu allocate check

* formatting

* change cpu allocate in pass

* formatting

* add some tests for replace_allocate pass

* formatting

* pass by ref

* fix run_pass

* formatting

* update variable name for module

* update dce to use contains() and fix tidy

* formatting

* update cppcheck

* add if test

* formatting

* add if test

* rename var to mod_output_names

* formatting

* remove conditional

* update allocate op and tests

* formatting

* update replace_allocate tests

* update create_output_names() and conditional in replace_allocate

* formatting

* remove extra variable in replace_allocate

* update tools script for allocation_model
Co-authored-by: Umang Yadav <29876643+umangyadav@users.noreply.github.com>
Co-authored-by: Chris Austen <causten@users.noreply.github.com>
Co-authored-by: Paul Fultz II <pfultz2@yahoo.com>

Fuse layernorm and added triadd_layernorm fusion.  This is a prep performance booster

* always keep parameters

* clang format

* fix tidy error

* clang format

* add more unit tests to have more code coverage

* fixed a bug to ensure get_parameter_names to return ordered parameter names

* clang format

* remove unnecessary print out

* refine a code change

* clang format

* add a unit test to check parameter is not removed by dead code elimination

* clang format

* rename a function name
Co-authored-by: Chris Austen <causten@users.noreply.github.com>

* Update pass manager to get modules after every pass

* Add program overload for module

* Formatting

* Hash modules for quicker lookup of modules

* Bump file version

* Add methods to remove modules

* Formatting

* Eliminate unused modules

* Formatting

* Fix test errors

* Foramtting

* Fix tidy issues

* code cleanup

* clang format

* backup code

* clang format

* remove unnecessary code

* clang format

* add module print function

* code backup

* refine the module::print function

* refine the module:to_value() function

* code backup

* backup code changes

* code backup

* remove to_value and from_value function from the module class

* rename a function

* rename the if operator

* refine the if operator

* refine the print function of module and program

* code backup

* code backup

* fix a build warning

* fix overload of compute_shape function

* code backup

* fix unit test error

* fix cppcheck error

* fix the issue related to the overload of compute_shape

* fix review comments

* fix cppcheck error

* change the return name of if_op to be if

* clang format

* fix two unit tests

* clang format

* rename variables

* clang format

* remove the unused compute_op function

* clang format

* add lowering of if operator and compute_op function

* clang format

* add parsing if operator in onnx file

* clang format

* fix clang tidy format

* clang format

* add the gpu implementation of the if operator

* enhance the validate function and uncomment a unit test

* clang format

* remove unnecessary code

* add sub_module processing in ref passes

* clang format

* clang format

* fix a hang issue related to the valid function

* fix an issue in replace_refs

* clang format

* fix review comments

* clang format

* fix cppcheck error

* clang format

* add a unit test for more code coverage

* clang format

* fix review comments and add test for more code coverage

* clang format

* fix cppcheck error

* clang format

* fix cppcheck error

* fix a cppcheck error

* clang format

* backup code

* clang format

* fix cppcheck error

* clang format

* some code refinement

* clang format

* code backup to handle submodules in module compilation

* clang format

* code backup

* clang format

* code backup

* clang format

* fix a bug related to literal id

* fix a bug in gpu execution

* change the way of compiling a graph

* clang format

* backup more changes

* clang format

* refine pass log information

* remove unnecessary code

* clang format

* temp changes backup

* clang format

* add module name prefix to scratch memory id in hip_memory_allocation

* clang format

* change to copy the cond input by inserting a copy instruction

* clang format

* change to use the if output argument as the submodule output so can remove a gpu_copy

* clang format

* consider submodule in some compile passes

* clang format

* fix review comments

* clang format

* fix issues related to scratch memory

* clang format

* remove unnecessary code

* fix cppcheck error

* clang format

* reslove the implicit dependencies issue related to submodule

* clang format

* fix cppcheck error

* clang format

* backup temp changes

* clang format

* fixed an bug in the has_instruction function

* clang format

* fix the return value of the gpu implementation of the if operator

* fix a bug in the compute_shape function in the gpu implementation

* add an if onnx unit test

* clang format

* add more unit tests

* clang format

* tmp code backup

* clang format

* fix a sync problem related to copy cond argument from gpu to cpu

* clang format

* change the compile offload copy flag setting

* clang format

* enable copy from cpu to be able to do synchronous copy

* clang format

* add more unit tests

* add more unit tests

* add more ref unit tests

* clang format

* fixed a bug error

* tmp code backup

* clang format

* fixed an onnx verify unit test

* add more unit tests

* clang format

* reverse a change

* fix cppcheck error

* fix cppcheck error

* fix to print all instructions in program execution

* clang format

* fix bugs related to memory coloring and offload copy to be true

* clang format

* remove unnecessary include header file

* sort test cases in ref_cpu_ops alphabetically

* clang format

* add a flag to disable cpu target in verification test

* change the way to disable some tests

* clang format

* disable verify unit test of the if operators

* add a function call to have more code coverage

* fix a build error

* fix review comments

* fix review comments

* clang format

* add a api gpu unit test for more code coverage

* clang format

* change to use instruction.size() as node index

* move the calc_implicit_deps function to module class as a member function

* clang format

* move the offload_copy flag setting to lowering

* clang format

* assign the module_eval lambda function to a variable to simplify code

* clang format

* move the compute function from ref/gpu implementation to the main if operator

* clang format

* fix cpp check error

* add a unit test for more code coverage

* clang format

* add unit test to calculate implicit deps

* add a python unit test

* clang format

* refine a unit test to have more code coverage

* clang format

* chang the way of wrap up arguments for sub modules

* clang format

* fix some build errors

* code cleanup

* refine unit tests to have more code coverage

* clang format

* refine unit test to have more code coverage

* code backup

* clang format

* add memory coloring test

* refine memory coloring unit test

* clang format

* remove an unnecessary line

* remove an unused line

* remove an unnecessary parameter in the lambda function

* clang format

* refine a unit test

* remove an unnecessary line

* refine unit tests to have more code coverage

* clang format

* combine two lines

* add one more unit test for more code coverage

* clang format

* add one more unit test

* clang format

* fix review comments

* refine a print out information

* fix review comments

* clang format

* change the sync copy to using a gpu device sync

* clang format

* remove unnecessary code
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>

* code backup

* clang format

* change corresponding tool files

* clang format
Co-authored-by: mvermeulen <5479696+mvermeulen@users.noreply.github.com>