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Throwing on these calls catches dynamic shape errors earlier rather than having to backpedal from a bad call

onnxruntime is rolling a version with current versions 3.26

This adds a format.py file which will check or apply formatting using git clang-format or yapf.

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.

Fixes #1746

BatchNorm only has x as the runtime input parameter for the following equation. All the other parameters are compile-time constants and related operations can be const-folded before quantizing to fp16 to preserve precision.

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

* add multitarget evaluation
* Add evaluation for the multi-target unit-tests

The find_reshaper is supposed to do this, but it doesnt work and there were no tests. So I updated for it to work and I added unit tests for it.

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

throw on use_len with non-fixed dynamic dimensions
change normalize_attributes to use input shape rather than input dimensions

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

Changes to the way Pooling operation calculates pooling when there's padding. Old code would clip off any padding values before computing; for instance if an Average pooling window contained 0 1 2 where the 0 is padding, the result was 1.5 instead of 1.0. See Issue 1766

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.

* move tidy,cppcheck to rocm-ubuntu runners

This will also annotate the function with the block size so the compiler can do a better job of optimizing.

This is to help enable multi-target execution. We store a vector of targets and contexts. Currently this will only compile a single target, the PR #1672 is needed to enable multiple targets.

This will also serialize the targets and contexts.

When using the execution_environment or prog.get_context() it will always use the context from the first target assuming this is the "primary" target. Although, its unlikely a user would use execution_environment with a multi-target environment.

Fixes the failing test case in #1815. Added a test that would otherwise fail without the change.

Needed to run multi-targeted program where "main" isn't the only root module. There could be many root modules other than main.

Updates ref version of clip to work with dynamic shapes
Encountered in agentmodel

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

This will show the instructions that are inserted for each onnx operator. This should help debugging where certain instructions come from.