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[FXML-1991] Reciprocal Constant Folding For a Splat Tensor #32

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cmcgirr-amd
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Quantization Operations in TOSA are represnted using the following operators:

    %0 = "tosa.const"() {value = dense<3.125000e-02> : tensor<1x1x1x1xf32>} : () -> tensor<1x1x1x1xf32>
    %1 = "tosa.reciprocal"(%0) : (tensor<1x1x1x1xf32>) -> tensor<32x3x224x224xf32>
    %2 = "tosa.mul"(%arg0, %1) {LayerName = "QuantizeLinear_2", shift = 0 : i32} : (tensor<32x3x224x224xf32>, tensor<32x3x224x224xf32>) -> tensor<32x3x224x224xf32>
    %3 = "tosa.cast"(%2) : (tensor<32x3x224x224xf32>) -> tensor<32x3x224x224xi8>

Here we apply the reciprocal of a constant scale factor which can be easily folded into the constant.

These changes introduce that folding to help simplify possible pattern matching later on.

@cmcgirr-amd cmcgirr-amd changed the title [FXML-1991] Reciprocal Constant Folding [FXML-1991] Reciprocal Constant Folding For a Splat Tensor May 10, 2023
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LGTM!

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This fold isn't upstream yet (in contrast to the sub/add), so I would have suggested to upstream it, but I guess it is also covered by the PR with the general folding for reciprocals, so it might not be worth going through the process for the special case.

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cmcgirr-amd commented May 11, 2023

This fold isn't upstream yet (in contrast to the sub/add), so I would have suggested to upstream it, but I guess it is also covered by the PR with the general folding for reciprocals, so it might not be worth going through the process for the special case.

True. Is this PR getting merged soon? I can also just close this then.

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This fold isn't upstream yet (in contrast to the sub/add), so I would have suggested to upstream it, but I guess it is also covered by the PR with the general folding for reciprocals, so it might not be worth going through the process for the special case.

True. Is this PR getting merged soon? I can also just close this then.

I think this change still has it's own benefits even when we have the pass with the general tensor folds, because this fold is applied automatically as part of any other pass.

@cmcgirr-amd cmcgirr-amd requested a review from TinaAMD May 16, 2023 11:41
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LGTM

@cmcgirr-amd cmcgirr-amd merged commit 37665ac into feature/fused-ops May 16, 2023
@cmcgirr-amd cmcgirr-amd deleted the christopher.FXML-1991_reciprocal_constant_folding branch May 16, 2023 13:18
mgehre-amd pushed a commit that referenced this pull request Feb 19, 2024
…lvm#68429)

After calling arm_sme_state, the -S assembly would show clang generating
a “tbz xN, #0, Lbb”. However, disassembling it showed that it was
actually encoded as “tbz xN, #32, Lbb”. The issue is that for TBZ, if
you want a bit offset <32 you need to use the W variant, since the
instruction overloads the top bit of the immediate.
mgehre-amd pushed a commit that referenced this pull request Feb 27, 2024
…lvm#80904)"

This reverts commit b1ac052.

This commit breaks coroutine splitting for non-swift calling convention
functions. In this example:

```ll
; ModuleID = 'repro.ll'
source_filename = "stdlib/test/runtime/test_llcl.mojo"
target datalayout = "e-m:e-p270:32:32-p271:32:32-p272:64:64-i64:64-i128:128-f80:128-n8:16:32:64-S128"
target triple = "x86_64-unknown-linux-gnu"

@0 = internal constant { i32, i32 } { i32 trunc (i64 sub (i64 ptrtoint (ptr @craSH to i64), i64 ptrtoint (ptr getelementptr inbounds ({ i32, i32 }, ptr @0, i32 0, i32 1) to i64)) to i32), i32 64 }

define dso_local void @af_suspend_fn(ptr %0, i64 %1, ptr %2) #0 {
  ret void
}

define dso_local void @craSH(ptr %0) #0 {
  %2 = call token @llvm.coro.id.async(i32 64, i32 8, i32 0, ptr @0)
  %3 = call ptr @llvm.coro.begin(token %2, ptr null)
  %4 = getelementptr inbounds { ptr, { ptr, ptr }, i64, { ptr, i1 }, i64, i64 }, ptr poison, i32 0, i32 0
  %5 = call ptr @llvm.coro.async.resume()
  store ptr %5, ptr %4, align 8
  %6 = call { ptr, ptr, ptr } (i32, ptr, ptr, ...) @llvm.coro.suspend.async.sl_p0p0p0s(i32 0, ptr %5, ptr @ctxt_proj_fn, ptr @af_suspend_fn, ptr poison, i64 -1, ptr poison)
  ret void
}

define dso_local ptr @ctxt_proj_fn(ptr %0) #0 {
  ret ptr %0
}

; Function Attrs: nomerge nounwind
declare { ptr, ptr, ptr } @llvm.coro.suspend.async.sl_p0p0p0s(i32, ptr, ptr, ...) #1

; Function Attrs: nounwind
declare token @llvm.coro.id.async(i32, i32, i32, ptr) #2

; Function Attrs: nounwind
declare ptr @llvm.coro.begin(token, ptr writeonly) #2

; Function Attrs: nomerge nounwind
declare ptr @llvm.coro.async.resume() #1

attributes #0 = { "target-features"="+adx,+aes,+avx,+avx2,+bmi,+bmi2,+clflushopt,+clwb,+clzero,+crc32,+cx16,+cx8,+f16c,+fma,+fsgsbase,+fxsr,+invpcid,+lzcnt,+mmx,+movbe,+mwaitx,+pclmul,+pku,+popcnt,+prfchw,+rdpid,+rdpru,+rdrnd,+rdseed,+sahf,+sha,+sse,+sse2,+sse3,+sse4.1,+sse4.2,+sse4a,+ssse3,+vaes,+vpclmulqdq,+wbnoinvd,+x87,+xsave,+xsavec,+xsaveopt,+xsaves" }
attributes #1 = { nomerge nounwind }
attributes #2 = { nounwind }
```

This verifier crashes after the `coro-split` pass with

```
cannot guarantee tail call due to mismatched parameter counts
  musttail call void @af_suspend_fn(ptr poison, i64 -1, ptr poison)
LLVM ERROR: Broken function
PLEASE submit a bug report to https://github.com/llvm/llvm-project/issues/ and include the crash backtrace.
Stack dump:
0.      Program arguments: opt ../../../reduced.ll -O0
 #0 0x00007f1d89645c0e __interceptor_backtrace.part.0 /build/gcc-11-XeT9lY/gcc-11-11.4.0/build/x86_64-linux-gnu/libsanitizer/asan/../../../../src/libsanitizer/sanitizer_common/sanitizer_common_interceptors.inc:4193:28
 #1 0x0000556d94d254f7 llvm::sys::PrintStackTrace(llvm::raw_ostream&, int) /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Support/Unix/Signals.inc:723:22
 #2 0x0000556d94d19a2f llvm::sys::RunSignalHandlers() /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Support/Signals.cpp:105:20
 #3 0x0000556d94d1aa42 SignalHandler(int) /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Support/Unix/Signals.inc:371:36
 #4 0x00007f1d88e42520 (/lib/x86_64-linux-gnu/libc.so.6+0x42520)
 #5 0x00007f1d88e969fc __pthread_kill_implementation ./nptl/pthread_kill.c:44:76
 #6 0x00007f1d88e969fc __pthread_kill_internal ./nptl/pthread_kill.c:78:10
 #7 0x00007f1d88e969fc pthread_kill ./nptl/pthread_kill.c:89:10
 #8 0x00007f1d88e42476 gsignal ./signal/../sysdeps/posix/raise.c:27:6
 #9 0x00007f1d88e287f3 abort ./stdlib/abort.c:81:7
 #10 0x0000556d8944be01 std::vector<llvm::json::Value, std::allocator<llvm::json::Value>>::size() const /usr/include/c++/11/bits/stl_vector.h:919:40
 #11 0x0000556d8944be01 bool std::operator==<llvm::json::Value, std::allocator<llvm::json::Value>>(std::vector<llvm::json::Value, std::allocator<llvm::json::Value>> const&, std::vector<llvm::json::Value, std::allocator<llvm::json::Value>> const&) /usr/include/c++/11/bits/stl_vector.h:1893:23
 #12 0x0000556d8944be01 llvm::json::operator==(llvm::json::Array const&, llvm::json::Array const&) /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/Support/JSON.h:572:69
 #13 0x0000556d8944be01 llvm::json::operator==(llvm::json::Value const&, llvm::json::Value const&) (.cold) /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Support/JSON.cpp:204:28
 #14 0x0000556d949ed2bd llvm::report_fatal_error(char const*, bool) /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Support/ErrorHandling.cpp:82:70
 #15 0x0000556d8e37e876 llvm::SmallVectorBase<unsigned int>::size() const /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/ADT/SmallVector.h:91:32
 #16 0x0000556d8e37e876 llvm::SmallVectorTemplateCommon<llvm::DiagnosticInfoOptimizationBase::Argument, void>::end() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/ADT/SmallVector.h:282:41
 #17 0x0000556d8e37e876 llvm::SmallVector<llvm::DiagnosticInfoOptimizationBase::Argument, 4u>::~SmallVector() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/ADT/SmallVector.h:1215:24
 #18 0x0000556d8e37e876 llvm::DiagnosticInfoOptimizationBase::~DiagnosticInfoOptimizationBase() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/DiagnosticInfo.h:413:7
 #19 0x0000556d8e37e876 llvm::DiagnosticInfoIROptimization::~DiagnosticInfoIROptimization() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/DiagnosticInfo.h:622:7
 #20 0x0000556d8e37e876 llvm::OptimizationRemark::~OptimizationRemark() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/DiagnosticInfo.h:689:7
 #21 0x0000556d8e37e876 operator() /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Transforms/Coroutines/CoroSplit.cpp:2213:14
 #22 0x0000556d8e37e876 emit<llvm::CoroSplitPass::run(llvm::LazyCallGraph::SCC&, llvm::CGSCCAnalysisManager&, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&)::<lambda()> > /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/Analysis/OptimizationRemarkEmitter.h:83:12
 #23 0x0000556d8e37e876 llvm::CoroSplitPass::run(llvm::LazyCallGraph::SCC&, llvm::AnalysisManager<llvm::LazyCallGraph::SCC, llvm::LazyCallGraph&>&, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&) /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Transforms/Coroutines/CoroSplit.cpp:2212:13
 #24 0x0000556d8c36ecb1 llvm::detail::PassModel<llvm::LazyCallGraph::SCC, llvm::CoroSplitPass, llvm::AnalysisManager<llvm::LazyCallGraph::SCC, llvm::LazyCallGraph&>, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&>::run(llvm::LazyCallGraph::SCC&, llvm::AnalysisManager<llvm::LazyCallGraph::SCC, llvm::LazyCallGraph&>&, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&) /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/PassManagerInternal.h:91:3
 #25 0x0000556d91c1a84f llvm::PassManager<llvm::LazyCallGraph::SCC, llvm::AnalysisManager<llvm::LazyCallGraph::SCC, llvm::LazyCallGraph&>, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&>::run(llvm::LazyCallGraph::SCC&, llvm::AnalysisManager<llvm::LazyCallGraph::SCC, llvm::LazyCallGraph&>&, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&) /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Analysis/CGSCCPassManager.cpp:90:12
 #26 0x0000556d8c3690d1 llvm::detail::PassModel<llvm::LazyCallGraph::SCC, llvm::PassManager<llvm::LazyCallGraph::SCC, llvm::AnalysisManager<llvm::LazyCallGraph::SCC, llvm::LazyCallGraph&>, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&>, llvm::AnalysisManager<llvm::LazyCallGraph::SCC, llvm::LazyCallGraph&>, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&>::run(llvm::LazyCallGraph::SCC&, llvm::AnalysisManager<llvm::LazyCallGraph::SCC, llvm::LazyCallGraph&>&, llvm::LazyCallGraph&, llvm::CGSCCUpdateResult&) /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/PassManagerInternal.h:91:3
 #27 0x0000556d91c2162d llvm::ModuleToPostOrderCGSCCPassAdaptor::run(llvm::Module&, llvm::AnalysisManager<llvm::Module>&) /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Analysis/CGSCCPassManager.cpp:278:18
 #28 0x0000556d8c369035 llvm::detail::PassModel<llvm::Module, llvm::ModuleToPostOrderCGSCCPassAdaptor, llvm::AnalysisManager<llvm::Module>>::run(llvm::Module&, llvm::AnalysisManager<llvm::Module>&) /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/PassManagerInternal.h:91:3
 #29 0x0000556d9457abc5 llvm::PassManager<llvm::Module, llvm::AnalysisManager<llvm::Module>>::run(llvm::Module&, llvm::AnalysisManager<llvm::Module>&) /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/PassManager.h:247:20
 #30 0x0000556d8e30979e llvm::CoroConditionalWrapper::run(llvm::Module&, llvm::AnalysisManager<llvm::Module>&) /home/ubuntu/modular/third-party/llvm-project/llvm/lib/Transforms/Coroutines/CoroConditionalWrapper.cpp:19:74
 #31 0x0000556d8c365755 llvm::detail::PassModel<llvm::Module, llvm::CoroConditionalWrapper, llvm::AnalysisManager<llvm::Module>>::run(llvm::Module&, llvm::AnalysisManager<llvm::Module>&) /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/PassManagerInternal.h:91:3
 #32 0x0000556d9457abc5 llvm::PassManager<llvm::Module, llvm::AnalysisManager<llvm::Module>>::run(llvm::Module&, llvm::AnalysisManager<llvm::Module>&) /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/PassManager.h:247:20
 #33 0x0000556d89818556 llvm::SmallPtrSetImplBase::isSmall() const /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/ADT/SmallPtrSet.h:196:33
 #34 0x0000556d89818556 llvm::SmallPtrSetImplBase::~SmallPtrSetImplBase() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/ADT/SmallPtrSet.h:84:17
 #35 0x0000556d89818556 llvm::SmallPtrSetImpl<llvm::AnalysisKey*>::~SmallPtrSetImpl() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/ADT/SmallPtrSet.h:321:7
 #36 0x0000556d89818556 llvm::SmallPtrSet<llvm::AnalysisKey*, 2u>::~SmallPtrSet() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/ADT/SmallPtrSet.h:427:7
 #37 0x0000556d89818556 llvm::PreservedAnalyses::~PreservedAnalyses() /home/ubuntu/modular/third-party/llvm-project/llvm/include/llvm/IR/Analysis.h:109:7
 #38 0x0000556d89818556 llvm::runPassPipeline(llvm::StringRef, llvm::Module&, llvm::TargetMachine*, llvm::TargetLibraryInfoImpl*, llvm::ToolOutputFile*, llvm::ToolOutputFile*, llvm::ToolOutputFile*, llvm::StringRef, llvm::ArrayRef<llvm::PassPlugin>, llvm::ArrayRef<std::function<void (llvm::PassBuilder&)>>, llvm::opt_tool::OutputKind, llvm::opt_tool::VerifierKind, bool, bool, bool, bool, bool, bool, bool) /home/ubuntu/modular/third-party/llvm-project/llvm/tools/opt/NewPMDriver.cpp:532:10
 #39 0x0000556d897e3939 optMain /home/ubuntu/modular/third-party/llvm-project/llvm/tools/opt/optdriver.cpp:737:27
 #40 0x0000556d89455461 main /home/ubuntu/modular/third-party/llvm-project/llvm/tools/opt/opt.cpp:25:33
 #41 0x00007f1d88e29d90 __libc_start_call_main ./csu/../sysdeps/nptl/libc_start_call_main.h:58:16
 #42 0x00007f1d88e29e40 call_init ./csu/../csu/libc-start.c:128:20
 #43 0x00007f1d88e29e40 __libc_start_main ./csu/../csu/libc-start.c:379:5
 #44 0x0000556d897b6335 _start (/home/ubuntu/modular/.derived/third-party/llvm-project/build-relwithdebinfo-asan/bin/opt+0x150c335)
Aborted (core dumped)
mgehre-amd pushed a commit that referenced this pull request Sep 25, 2024
The worst possible case for a double literal goes like:

```
  mov ...
  movk ..., lsl #16
  movk ..., lsl #32
  movk ..., lsl #48
  fmov ...
```

The limit of 5 in the code gives the impression that `Insn` includes all
instructions including the `fmov`, but that's not true. It only counts
the integer moves. This led me astray on some other work in this area.
ndegener-amd pushed a commit that referenced this pull request Apr 17, 2025
…d A520 (llvm#132246)

Inefficient SVE codegen occurs on at least two in-order cores,
those being Cortex-A510 and Cortex-A520. For example a simple vector
add

```
void foo(float a, float b, float dst, unsigned n) {
    for (unsigned i = 0; i < n; ++i)
        dst[i] = a[i] + b[i];
}
```

Vectorizes the inner loop into the following interleaved sequence
of instructions.

```
        add     x12, x1, x10
        ld1b    { z0.b }, p0/z, [x1, x10]
        add     x13, x2, x10
        ld1b    { z1.b }, p0/z, [x2, x10]
        ldr     z2, [x12, #1, mul vl]
        ldr     z3, [x13, #1, mul vl]
        dech    x11
        add     x12, x0, x10
        fadd    z0.s, z1.s, z0.s
        fadd    z1.s, z3.s, z2.s
        st1b    { z0.b }, p0, [x0, x10]
        addvl   x10, x10, #2
        str     z1, [x12, #1, mul vl]
```

By adjusting the target features to prefer fixed over scalable if the
cost is equal we get the following vectorized loop.

```
         ldp q0, q3, [x11, #-16]
         subs    x13, x13, #8
         ldp q1, q2, [x10, #-16]
         add x10, x10, #32
         add x11, x11, #32
         fadd    v0.4s, v1.4s, v0.4s
         fadd    v1.4s, v2.4s, v3.4s
         stp q0, q1, [x12, #-16]
         add x12, x12, #32
```

Which is more efficient.
ndegener-amd pushed a commit that referenced this pull request Apr 17, 2025
… A510/A520 (llvm#134606)

Recommit. This work was done by llvm#132246 but failed buildbots due to the
test introduced needing updates

Inefficient SVE codegen occurs on at least two in-order cores, those
being Cortex-A510 and Cortex-A520. For example a simple vector add

```
void foo(float a, float b, float dst, unsigned n) {
    for (unsigned i = 0; i < n; ++i)
        dst[i] = a[i] + b[i];
}
```

Vectorizes the inner loop into the following interleaved sequence of
instructions.

```
        add     x12, x1, x10
        ld1b    { z0.b }, p0/z, [x1, x10]
        add     x13, x2, x10
        ld1b    { z1.b }, p0/z, [x2, x10]
        ldr     z2, [x12, #1, mul vl]
        ldr     z3, [x13, #1, mul vl]
        dech    x11
        add     x12, x0, x10
        fadd    z0.s, z1.s, z0.s
        fadd    z1.s, z3.s, z2.s
        st1b    { z0.b }, p0, [x0, x10]
        addvl   x10, x10, #2
        str     z1, [x12, #1, mul vl]
```

By adjusting the target features to prefer fixed over scalable if the
cost is equal we get the following vectorized loop.

```
         ldp q0, q3, [x11, #-16]
         subs    x13, x13, #8
         ldp q1, q2, [x10, #-16]
         add x10, x10, #32
         add x11, x11, #32
         fadd    v0.4s, v1.4s, v0.4s
         fadd    v1.4s, v2.4s, v3.4s
         stp q0, q1, [x12, #-16]
         add x12, x12, #32
```

Which is more efficient.
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4 participants