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Compute mean and variance in same reduction
Set block size to numbers divisible by 32 instead powers of 2
Global is also set exactly instead of being divisible by block size
More exact matching of global/local can help get rid of branching/loops
Reduce vectors first before doing dpp_reduce
Explicitly vectorize array operators since the compiler doesnt always vectorize them
Still uses old for loop when its computing at compile-time since the reinterpret_cast nor the all the vector types is supported

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

* rename broadcast and multibroadcast output_lens attribute to out_lens attribute, and change tests and source code to reflect the same

* change the reshape attribute from dims to out_lens

* change transpose attribute's name from dims to perm to reflect better meaning

* use permutation instead of perm for transpose

clang formaating

* use dims instead of out_lens for reshape

clang formatting

* Load op when serializing

* Formatting

* Add missing clip field

* Use make_op almost everywhere

* Formatting

* More make ops for rnns

* Get rid of spaces

* Formatting

* Remove operators headers

* Formatting

* Remove unused op headers

* Increase line threshold

* code backup

* clang format

* change corresponding tool files

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

* Add all_targets cmake target

* Rename target

* Add ref target

* Rename tests

* Refactor compiler target

* Formatting

* Verify for every target

* Formatting

* Add verify test suite

* Formatting

* Add initial test programs

* Formatting

* Add rnn tests

* Formatting

* Validate gpu

* Formatting

* Remove old gpu tests

* Fix gpu tests

* Fix ref error

* Fix tidy issues

* Formatting

* Tidy fixes

* Fix header in python api

* Rename to ref

* Use ref in verify_onnx

* Fix tidy issue

* Build with verbose on

* Fix typo

* Remove verbose

* rename some cpu prefix to ref
Co-authored-by: Shucai Xiao <Shucai.Xiao@amd.com>