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add flags for ck, Enable CK with hipRTC.  CK can be used with the MIGRAPHX_ENABLE_CK=1 and MIGRAPHX_TUNE_CK=1

Avoid the vega cards for the ORT build runs.

The --py output can be loaded back in the driver. This will embed the migraphx interperter so we can execute the python directly. There is a migraphx_py library which will dynamically load the version of the library for python version is available on the system.

* rename function 'near' to 'make_near'

* try disabling vega10 machine

Fixes #1957

Clamping was removed in #1853.

Turns out clamping as necessary to handle overflow/underflow cases. during downcasting, if it overflowed then without clamping it returned infinity.

HIP requires global work items in multiple of local work items. If it is not it is not guaranteed to generate correct results all the time.
Fixes #1977
Fixes #1644
MIGraphX CI has moved to rocm-5.6 which doesn't require hipRTC workarounds

This commit removes the build options to disable threading and removes the mutex in compile_mlir.
The commit being tested is a draft PR on rocMLIR that'll get merged if this passes

Add a CI job to test CK
Add MIGRAPHX_TUNE_CK env variable to only do tuning for CK
Continue tuning even when there is invalid configs
Fix a bug with parallel compilation not using all available threads
Add additional test for gemms using half types
Removed int32 as supported type since it doesnt pass our test suite

partially solves #1656
This PR only handles compilation part of multitarget.

Co-authored-by: Sam Wu <sam.wu2@amd.com>
Co-authored-by: Paul <pfultz2@yahoo.com>

prevent dynamically loading the target library that is not compiled with the same version of MIGraphX core lib.

* [MLIR] Adds a runtime switch to trigger MLIR

* deprecate HCC

Added CMakeFlag for hipRTC. MIGRAPHX_USE_HIPRTC.
Added stages in Jenkins for hipRTC.
Fixes for some of the pending issues from hipRTC.

Run a stage using MIGRAPHX_GPU_DEBUG=1.

Rewrites the BatchNormalization ONNX operator into other MIGX operators
- Added handling of 1D input tensor case (edge case in ONNX spec)
Removes the spatial and per_activation functionality (not in the ONNX spec)
- Did not remove the batch_norm_inference related code as the TensorFlow parser still uses it
- Can remove that code when the TF version is updated

This will ensure that migraphx.h can be included from a C compiler, and check that the C API can be called. This includes stdbool.h which is needed when using bool from C.

modify CI temporarily to stop using Navi hardware

Moving our Docker file from ROCm 4.3 to 4.5 
Add Navi base GPUs in to the CI infrastructure 

No longer avoid dependency problems and install the half package