[all-commits] [llvm/llvm-project] b76089: [VPlan] Skip uses-scalars restriction if one of op...

[Florian Hahn via All-commits]

  Branch: refs/heads/main
  Home:   https://github.com/llvm/llvm-project
  Commit: b76089c7f3d6593d2e2c83db7dbf4965b656bd8c
      https://github.com/llvm/llvm-project/commit/b76089c7f3d6593d2e2c83db7dbf4965b656bd8c
  Author: Florian Hahn <flo at fhahn.com>
  Date:   2025-11-28 (Fri, 28 Nov 2025)

  Changed paths:
    M llvm/lib/Transforms/Vectorize/VPlanTransforms.cpp
    M llvm/test/Transforms/LoopVectorize/AArch64/conditional-branches-cost.ll
    M llvm/test/Transforms/LoopVectorize/AArch64/reduction-recurrence-costs-sve.ll
    A llvm/test/Transforms/LoopVectorize/AArch64/widen-gep-all-indices-invariant.ll
    M llvm/test/Transforms/LoopVectorize/RISCV/pr88802.ll
    M llvm/test/Transforms/LoopVectorize/X86/cost-conditional-branches.ll
    M llvm/test/Transforms/LoopVectorize/X86/cost-model.ll
    M llvm/test/Transforms/LoopVectorize/X86/replicating-load-store-costs.ll
    M llvm/test/Transforms/LoopVectorize/cse-casts.ll
    M llvm/test/Transforms/LoopVectorize/first-order-recurrence-chains-vplan.ll
    M llvm/test/Transforms/LoopVectorize/narrow-to-single-scalar.ll
    M llvm/test/Transforms/LoopVectorize/pr43166-fold-tail-by-masking.ll
    M llvm/test/Transforms/LoopVectorize/pr55167-fold-tail-live-out.ll
    M llvm/test/Transforms/LoopVectorize/predicatedinst-loop-invariant.ll
    M llvm/test/Transforms/LoopVectorize/reduction-inloop-uf4.ll
    M llvm/test/Transforms/LoopVectorize/trunc-shifts.ll

  Log Message:
  -----------
  [VPlan] Skip uses-scalars restriction if one of ops needs broadcast. (#168246)

Update the logic in narrowToSingleScalar to allow narrowing even if not
all users use scalars, if at least one of the operands already needs
broadcasting.

In that case, there won't be any additional broadcasts introduced. This
should allow removing the special handling for stores, which can
introduce additional broadcasts currently.

Fixes https://github.com/llvm/llvm-project/issues/169668.

PR: https://github.com/llvm/llvm-project/pull/168246



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