Currently, we use `AAAMDWavesPerEU` to iteratively update values based
on attributes from the associated function, potentially propagating
user-annotated values, along with `AAAMDFlatWorkGroupSize`. Similarly,
we have `AAAMDFlatWorkGroupSize`. However, since the value calculated
through the flat workgroup size always dominates the user annotation
(i.e., the attribute), running `AAAMDWavesPerEU` iteratively is
unnecessary if no user-annotated value exists.

This PR completely rewrites how the `amdgpu-waves-per-eu` attribute is
handled in `AMDGPUAttributor`. The key changes are as follows:

- `AAAMDFlatWorkGroupSize` remains unchanged.
- `AAAMDWavesPerEU` now only propagates user-annotated values.
- A new function is added to check and update `amdgpu-waves-per-eu`
based on the following rules:
- No waves per eu, no flat workgroup size: Assume a flat workgroup size
of `1,1024` and compute waves per eu based on this.
- No waves per eu, flat workgroup size exists: Use the provided flat
workgroup size to compute waves-per-eu.
- Waves per eu exists, no flat workgroup size: This is a tricky case. In
this PR, we assume a flat workgroup size of `1,1024`, but this can be
adjusted if a different approach is preferred. Alternatively, we could
directly use the user-annotated value.
- Both waves per eu and flat workgroup size exist: If there’s a
conflict, the value derived from the flat workgroup size takes
precedence over waves per eu.

This PR also updates the logic for merging two waves per eu pairs. The
current implementation, which uses `clampStateAndIndicateChange` to
compute a union, might not be ideal. If we think from ensure proper
resource allocation perspective, for instance, if one pair specifies a
minimum of 2 waves per eu, and another specifies a minimum of 4, we
should guarantee that 4 waves per eu can be supported, as failing to do
so could result in excessive resource allocation per wave. A similar
principle applies to the upper bound. Thus, the PR uses the following
approach for merging two pairs, `lo_a,up_a` and `lo_b,up_b`: `max(lo_a,
lo_b), max(up_a, up_b)`. This ensures that resource allocation adheres
to the stricter constraints from both inputs.

Fix #123092.

Clean up now unnecessary second check prefix.

Previously the AnnotateKernelFeatures pass infers two attributes:
amdgpu-calls and amdgpu-stack-objects, which are used to help determine
if flat scratch init is allowed. PR #118907 created the
amdgpu-no-flat-scratch-init attribute. Continuing with that work, this
patch makes use of this attribute to determine flat scratch init,
replacing amdgpu-calls and amdgpu-stack-objects. This also leads to the
removal of the AnnotateKernelFeatures pass.

This performs the minimal replacment of amdgpu-no-agpr to
amdgpu-agpr-alloc=0. Most of the test diffs are due to the new
attribute sorting later alphabetically.

We could do better by trying to perform range merging in the attributor,
and trying to pick non-0 values.

This reverts commit 1ef9410a96c1d9669a6feaf03fcab8d0a4a13bd5.

This fixes the test file attributor-flatscratchinit-globalisel.ll.

This reverts commit e6aec2c12095cc7debd1a8004c8535eef41f4c36.  Commit breaks "ninja check-llvm" on x86 host.

The AMDGPUAnnotateKernelFeatures pass infers the "amdgpu-calls" and
"amdgpu-stack-objects" attributes, which are used to infer whether we
need to initialize flat scratch. This is, however, not precise. Instead,
we should use AMDGPUAttributor and infer amdgpu-no-flat-scratch-init on
kernels. Refer to https://github.com/llvm/llvm-project/issues/63586 .

SIMachineFunctionInfo has a scan  of the function body for inline asm
which may use AGPRs, or callees in SIMachineFunctionInfo. Move this
into the attributor, so it actually works interprocedurally.
    
Could probably avoid most of the test churn if this bothered to avoid
adding this on subtargets without AGPRs. We should also probably
try to delete the MIR scan in usesAGPRs but it seems to be trickier
to eliminate.