0956a606ff
Currently, in case of GEMM and the pattern matching based optimizations, we use only the SLP Vectorizer out of two LLVM vectorizers. Since the Loop Vectorizer can get in the way of optimal code generation, we disable the Loop Vectorizer for the innermost loop using mark nodes and emitting the corresponding metadata. Reviewed-by: Tobias Grosser <tobias@grosser.es> Differential Revision: https://reviews.llvm.org/D36928 llvm-svn: 311473
68 lines
3.0 KiB
LLVM
68 lines
3.0 KiB
LLVM
; RUN: opt %loadPolly -polly-import-jscop -polly-opt-isl \
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; RUN: -polly-target-throughput-vector-fma=1 \
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; RUN: -polly-target-latency-vector-fma=8 \
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; RUN: -polly-target-1st-cache-level-associativity=8 \
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; RUN: -polly-target-2nd-cache-level-associativity=8 \
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; RUN: -polly-target-1st-cache-level-size=32768 \
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; RUN: -polly-target-vector-register-bitwidth=256 \
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; RUN: -polly-target-2nd-cache-level-size=262144 \
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; RUN: -polly-import-jscop-postfix=transformed -polly-codegen -S < %s \
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; RUN: | FileCheck %s
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;
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; Check that we do not create different alias sets for locations represented by
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; different raw pointers.
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;
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; Also check that we disable the Loop Vectorizer.
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;
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; CHECK-NOT: !76 = distinct !{!76, !5, !"second level alias metadata"}
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; CHECK: !{!"llvm.loop.vectorize.enable", i1 false}
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;
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target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128"
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target triple = "x86_64-unknown-unknown"
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define void @kernel_gemm(i32 %ni, i32 %nj, i32 %nk, [1024 x double]* %A, [1024 x double]* %B, [1024 x double]* %C, double* %C1) {
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entry:
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br label %entry.split
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entry.split: ; preds = %entry
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br label %for.body
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for.body: ; preds = %for.inc22, %entry.split
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%indvars.iv43 = phi i64 [ 0, %entry.split ], [ %indvars.iv.next44, %for.inc22 ]
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br label %for.body3
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for.body3: ; preds = %for.inc19, %for.body
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%indvars.iv40 = phi i64 [ 0, %for.body ], [ %indvars.iv.next41, %for.inc19 ]
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br label %for.body6
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for.body6: ; preds = %for.body6, %for.body3
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%indvars.iv = phi i64 [ 0, %for.body3 ], [ %indvars.iv.next, %for.body6 ]
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%tmp = load double, double* %C1, align 8
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%arrayidx9 = getelementptr inbounds [1024 x double], [1024 x double]* %A, i64 %indvars.iv43, i64 %indvars.iv
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%tmp1 = load double, double* %arrayidx9, align 8
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%arrayidx13 = getelementptr inbounds [1024 x double], [1024 x double]* %B, i64 %indvars.iv, i64 %indvars.iv40
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%tmp2 = load double, double* %arrayidx13, align 8
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%mul = fmul double %tmp1, %tmp2
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%add = fadd double %tmp, %mul
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%arrayidx17 = getelementptr inbounds [1024 x double], [1024 x double]* %C, i64 %indvars.iv43, i64 %indvars.iv40
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%tmp3 = load double, double* %arrayidx17, align 8
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%add18 = fadd double %tmp3, %add
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store double %add18, double* %arrayidx17, align 8
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%indvars.iv.next = add nuw nsw i64 %indvars.iv, 1
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%exitcond = icmp ne i64 %indvars.iv.next, 1024
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br i1 %exitcond, label %for.body6, label %for.inc19
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for.inc19: ; preds = %for.body6
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%indvars.iv.next41 = add nuw nsw i64 %indvars.iv40, 1
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%exitcond42 = icmp ne i64 %indvars.iv.next41, 1024
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br i1 %exitcond42, label %for.body3, label %for.inc22
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for.inc22: ; preds = %for.inc19
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%indvars.iv.next44 = add nuw nsw i64 %indvars.iv43, 1
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%exitcond45 = icmp ne i64 %indvars.iv.next44, 1024
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br i1 %exitcond45, label %for.body, label %for.end24
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for.end24: ; preds = %for.inc22
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ret void
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}
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