[AMDGPU] Add backward compatibility layer for kernarg preloading (#119167)

Add a prologue to the kernel entry to handle cases where code designed
for kernarg preloading is executed on hardware equi

[AMDGPU] Add backward compatibility layer for kernarg preloading (#119167)

Add a prologue to the kernel entry to handle cases where code designed
for kernarg preloading is executed on hardware equipped with
incompatible firmware. If hardware has compatible firmware the 256 bytes
at the start of the kernel entry will be skipped. This skipping is done
automatically by hardware that supports the feature.

A pass is added which is intended to be run at the very end of the
pipeline to avoid any optimizations that would assume the prologue is a
real predecessor block to the actual code start. In reality we have two
possible entry points for the function. 1. The optimized path that
supports kernarg preloading which begins at an offset of 256 bytes. 2.
The backwards compatible entry point which starts at offset 0.

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[AMDGPU] Promote uniform ops to I32 in DAGISel (#106383)

Promote uniform binops, selects and setcc between 2 and 16 bits to 32
bits in DAGISel

Solves #64591

[AMDGPU][NFC] Fix preload-kernarg.ll test after attributor move (#98840)

Update was to stale version of the test with missing functions and extra
runlines that had been removed.

Reapply "AMDGPU: Move attributor into optimization pipeline (#83131)" and follow up commit "clang/AMDGPU: Defeat attribute optimization in attribute test" (#98851)

This reverts commit adaff46d087799

Reapply "AMDGPU: Move attributor into optimization pipeline (#83131)" and follow up commit "clang/AMDGPU: Defeat attribute optimization in attribute test" (#98851)

This reverts commit adaff46d087799072438dd744b038e6fd50a2d78.

Drop the -O3 checks from default-attributes.hip. I don't know why they
are different on some bots but reverting this is far too disruptive.

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Revert "AMDGPU: Move attributor into optimization pipeline (#83131)" and follow up commit "clang/AMDGPU: Defeat attribute optimization in attribute test" (#98851)

This reverts commits 677cc15e0ff2e0

Revert "AMDGPU: Move attributor into optimization pipeline (#83131)" and follow up commit "clang/AMDGPU: Defeat attribute optimization in attribute test" (#98851)

This reverts commits 677cc15e0ff2e0e6aa30538eb187990a6a8f53c0 and
78bc1b64a6dc3fb6191355a5e1b502be8b3668e7.

The test CodeGenHIP/default-attributes.hip is failing on multiple bots
even after the attempted fix including the following:
- https://lab.llvm.org/buildbot/#/builders/3/builds/1473
- https://lab.llvm.org/buildbot/#/builders/65/builds/1380
- https://lab.llvm.org/buildbot/#/builders/161/builds/595
- https://lab.llvm.org/buildbot/#/builders/154/builds/1372
- https://lab.llvm.org/buildbot/#/builders/133/builds/1547
- https://lab.llvm.org/buildbot/#/builders/81/builds/755
- https://lab.llvm.org/buildbot/#/builders/40/builds/570
- https://lab.llvm.org/buildbot/#/builders/13/builds/748
- https://lab.llvm.org/buildbot/#/builders/12/builds/1845
- https://lab.llvm.org/buildbot/#/builders/11/builds/1695
- https://lab.llvm.org/buildbot/#/builders/190/builds/1829
- https://lab.llvm.org/buildbot/#/builders/193/builds/962
- https://lab.llvm.org/buildbot/#/builders/23/builds/991
- https://lab.llvm.org/buildbot/#/builders/144/builds/2256
- https://lab.llvm.org/buildbot/#/builders/46/builds/1614

These bots have been broken for a day, so reverting to get everything
back to green.

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AMDGPU: Move attributor into optimization pipeline (#83131)

Removing it from the codegen pipeline induces a lot of test churn
because llc is no longer optimizing out implicit arguments to kernels.

AMDGPU: Move attributor into optimization pipeline (#83131)

Removing it from the codegen pipeline induces a lot of test churn
because llc is no longer optimizing out implicit arguments to kernels.

Mostly mechanical, but there are some creative test updates. I preferred
to take the changes as-is in tests where the ABI isn't relevant. In
cases where it's more relevant, or the optimize out logic was too
ingrained in the test, I pre-run the optimization. Some cases manually
add attributes to disable inputs.

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AMDGPU: Add kernarg input attributes to preloaded kernarg test (#93669)

Explicitly mark the unused implicit arguments in the test, since this
should be sensitive to the number of free user SGPRs.

AMDGPU: Add kernarg input attributes to preloaded kernarg test (#93669)

Explicitly mark the unused implicit arguments in the test, since this
should be sensitive to the number of free user SGPRs.

This is in preparation for #83131.

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[AMDGPU] Fix kernarg preloading crash with some types and alignments (#91625)

Lowering of preloded arguments would fail with half/bfloat if they were
dword aligned in the kernarg segment and not pa

[AMDGPU] Fix kernarg preloading crash with some types and alignments (#91625)

Lowering of preloded arguments would fail with half/bfloat if they were
dword aligned in the kernarg segment and not part of a vector. Added
more tests with different alignments and types.

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[AMDGPU] Use directive for kernarg preload header padding (#86004)

[AMDGPU] Enable kernel arg preloading with gfx90a (#81180)

Add a trap instruction to the beginning of the kernel prologue to handle
cases where preloading is attempted on HW loaded with incompatibl

[AMDGPU] Enable kernel arg preloading with gfx90a (#81180)

Add a trap instruction to the beginning of the kernel prologue to handle
cases where preloading is attempted on HW loaded with incompatible
firmware.

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[AMDGPU] Add DAG ISel support for preloaded kernel arguments

This patch adds the DAG isel changes for kernel argument preloading.
These changes are not usable with older firmware but subsequent patc

[AMDGPU] Add DAG ISel support for preloaded kernel arguments

This patch adds the DAG isel changes for kernel argument preloading.
These changes are not usable with older firmware but subsequent patches
in the series will make the codegen backwards compatible. This patch
should only be submitted alongside that subsequent patch.

Preloading here begins from the start of the kernel arguments until the
amount of arguments indicated by the CL flag
amdgpu-kernarg-preload-count.

Aggregates and arguments passed by-ref are not supported.

Special care for the alignment of the kernarg segment is needed as well
as consideration of the alignment of addressable SGPR tuples when we
cannot directly use misaligned large tuples that the arguments are
loaded to.

Reviewed By: bcahoon

Differential Revision: https://reviews.llvm.org/D158579

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