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Adds support for dynamic input shape in pooling operator along with auto-padding. This combination requires that the padding (and therefore the output shape) can't be computed until runtime.

Allows slice to work with variable starts, ends, and axes input
Outputs a dynamic shape even with a static shape data input when the starts and ends are variable

This PR constitutes the MIGraphX-side changes needed to not break the build in the presence of
ROCmSoftwarePlatform/rocMLIR#1136 , and updates what data is sent in to MLIR during the kernel generation and tuning process.

* add quant_dot fusion, clip literal opt

* use implicit deps for the sorting
* use BFS for sorting program

* Use shape of Instruction (instead of a default) in add_return()

* Instruction validation fix: not to use a default shape value for comparison

* Fix instruction::replace() to recompute shape for "@return"

* handle the case of missing shape in an Instruction related Test

* use compute_shape() to get op shapes + test case for tuple_type

* add test case shape_test/return_shape_tuple

* Add test for @return to check for half type

* Move @return unit-tests around..; Address review comments

* Broken comparison fix: comparison to a (default) shape of tuple_type

* Test cases: (add) return_shape_empty & (modify) return_shape_tuple

* modify the assert() statement