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This PR introduces the support of Windows resource files to Embed.cmake. It is ON by default on Windows, and when it is OFF *.cpp files will be used. The same applies to Linux - ON -> *.o (LD) or OFF -> *.cpp .

This PR fixes building resources on Linux with ld and objcopy commands.

Enable MLIR performance enhancements with MIGRAPHX_ENABLE_MLIR=1

let the user know which targets migraphx was built for and how to build migraphx for their gpu.

* Updates to add_embed_library

* Fix warnings for extern arrays

Allows the rocMLIR CI (which builds rocMLIR tip against MIGraphX tip) to pass.

Renames deconvolution -> convolution_backwards to be more consistent with the literature
Note: this is not the cross-correlation operator (which is the adjoint of convolution). This is technically a standard convolution operator combined with an upsampling operator rather than a downsampling operator.
Adds unit tests for the padding, strides, dilations, and other op attributes.
Throws on auto_pad attribute since it has not been implemented
Previously it read the attribute and set it but then did nothing with it
Extended for dynamic shapes
Does not support using asymmetric padding (padding_L != padding_R) and output_shape with dynamic shapes.

Export API symbols for migraphx, migraphx_ref, migraphx_cpu, migrphx_gpu, migraphx_device, migraphx_tf, and migraphx_onnx. There is a separate PR for migrahx_c.

API symbol exporting affects only Windows. It is transparent on Linux.

Enable with MIGRAPHX_ENABLE_CK=1 and --exhaustive-tune tune flag

* Enable hiprtc by default

* Add hiprtc driver

Co-authored-by: Chris Austen <causten@users.noreply.github.com>

* deprecate HCC

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

Disabling it untill int8 fix is in mainline from MIOpen and also so that QA tests could run migraphx-driver and unittests from MIGraphX.

Can be enabled via environment variable MIGRAPHX_ENABLE_NHWC

Refactor dynamic compute
- add a compute_output_shape object that implicitly converts to a new dyn_output or shape object
- dyn_output object can handle computing the static output shape of an operator given the input arguments shapes
  change an operator's compute function to argument compute(const dyn_output& dyn_out, std::vector<argument> args) to 
  use dyn_output object

Dynamic ref unary functions
-  Included these changes to have an example of the refactored dynamic compute being used
-  Changes to unary base class to handle dynamic shapes
-  Changed elu and leaky_relu to use unary base class and pointwise JIT

* use find2.0 for the convolution
Co-authored-by: Vasilii Filippov <DrizztDoUrden@users.noreply.github.com>
Co-authored-by: Chris Austen <causten@users.noreply.github.com>