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* Rectify flipped coordinate_transformation_mode logic in ROIAlign
* Handle both opset 10 and 16 versions
* Fix version check and clang tidy warning
Co-authored-by: Dino Musić <dino.music@htecgroup.com>

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

In addition, since the bug in the sigmoid test is resolved, also uncomment that temporary disable.

Reduce memory footprint by std::move of temporary (potentially very large) containers.
Minor cleanup for performance optimization: e.g. of Index() calculation -- which can get repeated millions of times in large tensors/vectors in a single Visit.

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 initial tuning support

* Format

* Add extra param

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* Use exauhstive flag

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* Set expected shapes

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* Fix missing symbol

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* Add missing license header

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* Update src/targets/gpu/include/migraphx/gpu/mlir.hpp

* Updates to add_embed_library

* Fix warnings for extern arrays

* Improve performance of pointwise/reduction kernels when using NHWC layouts

* Format

* Add nhwc test

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* Remove inline namespace

* Add reduce test

* Remove rocblas_gemm_flags_pack_int8x4 in rocblas v3.0 or higher (#2002)

* Update src/targets/gpu/gemm_impl.cpp

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

Fixes #1946

* add support for rocm 5.6 in CI
* Disable anonymous namespace check
* add default c'tors to avoid warnings

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

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.

* do not use int8x4 format for the rocblas