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For clarity on kernel names found when profiling. The new names are set to the order of the ops being compiled. For example: add + relu = add_relu_kernel.

Updated variable names according to #1193

Our documentation indicates a user with sudo can run the install_prereqs.sh file. Turns out that the file is not complete enough to run on Ubuntu 18.04/20.04 independently. I updated the file to resolve the failures.

resolves #1191

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

ONNX Models changed from master to main. Changing path reflect the proper location

Reverts the dyn_data struct change
Should get around the ambiguous braced initialization list error

Expose add_literal method in C/C++ api

Improves performance for add_gelu.  In bert it is 4x faster and for mul_add it is 50% faster than what we current have.

Move to CI containers to rocm 5.0.2
upgrade to 20.04
free up some more file space in github action environments

Add compile tests for gpu math functions

Fixes the #error when using cppcheck. This no longer suppresses cppcheck errors when including those errors. This fixes the cppcheck errors that was there already.

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

Helps avoid dangling references. This also deprecates the constructors that didnt take a lifetime annotation since its ambiguous the lifetime.

Release branch created for ROCm 5.2 so moving develop branch to 2.3

Add ref and gpu implementations for ONNX op GatherND

Resolves #1032

With reductions such as {2048, 2, 1456} on axes 1, this is 23x faster than using our new block_reduce, and its even over 100x faster than our original reduce_sum:

# lane
gpu::code_object[code_object=13736,symbol_name=kernel,global=2981888,local=1024,]: 0.0672928ms
# block
gpu::code_object[code_object=13800,symbol_name=kernel,global=39321600,local=64,]: 1.46072ms
# original
gpu::reduce_sum[axes={1}]: 6.73456ms
There is some basic logic to pick between lane and block reduce automatically.

* expose get_queue method