Adds & uses a new `isDivergentUse` API in UA.
UniformityAnalysis now requires CycleInfo as well as the new temporal divergence API can query it.
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Original patch that adds `isDivergentUse` by @sameerds
The user of a temporally divergent value is marked as divergent in the
uniformity analysis. But the same user may also have been marked divergent for
other reasons, thus losing this information about temporal divergence. But some
clients need to specificly check for temporal divergence. This change restores
such an API, that already existed in DivergenceAnalysis.
Reviewed By: sameerds, foad
Differential Revision: https://reviews.llvm.org/D146018
An instruction that is "always uniform" is so even if it occurs in an
irreducible cycle. The output produced by such an instruction may depend on the
implementation defined cycle hierarchy, but that does not affect the uniformity
of the output. In other words, an "always uniform" instruction is uniform even
if it is not m-converged.
Reviewed By: ruiling, ronlieb
Differential Revision: https://reviews.llvm.org/D145572
A little extra change was needed in UA because it didn't consider
InvokeInst and it made call-constexpr.ll assert.
Reviewed By: sameerds, arsenm
Differential Revision: https://reviews.llvm.org/D145358
With recent (> 15, as far as I can tell, possibly > 16) clang, c++17,
and GNU's libstdc++ (versions 9 and 10 and maybe others), LLVM fails
to compile due to an is_invocable() check in unique_ptr::reset().
To resolve this issue, add a template argument to ImplDeleter to make
things work.
Differential Revision: https://reviews.llvm.org/D141865
Uniformity analysis is a generalization of divergence analysis to
include irreducible control flow:
1. The proposed spec presents a notion of "maximal convergence" that
captures the existing convention of converging threads at the
headers of natual loops.
2. Maximal convergence is then extended to irreducible cycles. The
identity of irreducible cycles is determined by the choices made
in a depth-first traversal of the control flow graph. Uniformity
analysis uses criteria that depend only on closed paths and not
cycles, to determine maximal convergence. This makes it a
conservative analysis that is independent of the effect of DFS on
CycleInfo.
3. The analysis is implemented as a template that can be
instantiated for both LLVM IR and Machine IR.
Validation:
- passes existing tests for divergence analysis
- passes new tests with irreducible control flow
- passes equivalent tests in MIR and GMIR
Based on concepts originally outlined by
Nicolai Haehnle <nicolai.haehnle@amd.com>
With contributions from Ruiling Song <ruiling.song@amd.com> and
Jay Foad <jay.foad@amd.com>.
Support for GMIR and lit tests for GMIR/MIR added by
Yashwant Singh <yashwant.singh@amd.com>.
Differential Revision: https://reviews.llvm.org/D130746
