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
128 lines
7.5 KiB
LLVM
128 lines
7.5 KiB
LLVM
; RUN: opt %loadPolly -polly-opt-isl -polly-pattern-matching-based-opts=true \
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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: -analyze -polly-ast -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 < %s \
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; RUN: | FileCheck %s
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;
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; /* C := A * B + C */
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; /* Elements of the matrices B, C have the double type. */
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; /* Elements of the matrix A have the float type. */
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; /* The type size of elements of the matrix multiplication operands is used
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; to determine the parameters of the code produced by the optimization
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; of the matrix multiplication (e.g. bounds of the loops of the loop
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; nest, the innermost loop body). This test checks the form of
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; the generated loop nest. See getMicroKernelParams and
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; getMacroKernelParams from lib/Transform/ScheduleOptimizer.cpp
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; for details. */
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; for (i = 0; i < _PB_NI; i++)
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; for (j = 0; j < _PB_NJ; j++)
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; for (k = 0; k < _PB_NK; ++k)
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; C[i][j] += A[i][k] * B[k][j];
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;
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; CHECK: // 1st level tiling - Tiles
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; CHECK-NEXT: for (int c1 = 0; c1 <= 3; c1 += 1) {
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; CHECK-NEXT: for (int c3 = 0; c3 <= 1023; c3 += 1)
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; CHECK-NEXT: for (int c4 = 256 * c1; c4 <= 256 * c1 + 255; c4 += 1)
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; CHECK-NEXT: CopyStmt_0(0, c3, c4);
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; CHECK-NEXT: for (int c2 = 0; c2 <= 10; c2 += 1) {
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; CHECK-NEXT: for (int c3 = 96 * c2; c3 <= min(1023, 96 * c2 + 95); c3 += 1)
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; CHECK-NEXT: for (int c5 = 256 * c1; c5 <= 256 * c1 + 255; c5 += 1)
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; CHECK-NEXT: CopyStmt_1(c3, 0, c5);
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; CHECK-NEXT: // 1st level tiling - Points
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; CHECK-NEXT: // Register tiling - Tiles
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; CHECK-NEXT: for (int c3 = 0; c3 <= 127; c3 += 1)
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; CHECK-NEXT: for (int c4 = 0; c4 <= min(23, -24 * c2 + 255); c4 += 1)
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; CHECK-NEXT: for (int c5 = 0; c5 <= 255; c5 += 1) {
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; CHECK-NEXT: // Loop Vectorizer Disabled
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; CHECK-NEXT: // Register tiling - Points
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; CHECK-NEXT: {
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 8 * c3, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 8 * c3 + 1, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 8 * c3 + 2, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 8 * c3 + 3, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 8 * c3 + 4, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 8 * c3 + 5, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 8 * c3 + 6, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 8 * c3 + 7, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 8 * c3, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 8 * c3 + 1, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 8 * c3 + 2, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 8 * c3 + 3, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 8 * c3 + 4, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 8 * c3 + 5, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 8 * c3 + 6, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 8 * c3 + 7, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 8 * c3, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 8 * c3 + 1, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 8 * c3 + 2, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 8 * c3 + 3, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 8 * c3 + 4, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 8 * c3 + 5, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 8 * c3 + 6, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 8 * c3 + 7, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 8 * c3, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 8 * c3 + 1, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 8 * c3 + 2, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 8 * c3 + 3, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 8 * c3 + 4, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 8 * c3 + 5, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 8 * c3 + 6, 256 * c1 + c5);
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; CHECK-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 8 * c3 + 7, 256 * c1 + c5);
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; CHECK-NEXT: }
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; CHECK-NEXT: }
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; CHECK-NEXT: }
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; CHECK-NEXT: }
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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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; Function Attrs: noinline nounwind uwtable
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define internal void @kernel_gemm(i32 %ni, i32 %nj, i32 %nk, double %alpha, double %beta, [1024 x double]* %C, [1024 x float]* %A, [1024 x double]* %B) #0 {
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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.cond1.preheader
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for.cond1.preheader: ; preds = %for.inc20, %entry.split
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%indvars.iv41 = phi i64 [ 0, %entry.split ], [ %indvars.iv.next42, %for.inc20 ]
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br label %for.cond4.preheader
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for.cond4.preheader: ; preds = %for.inc17, %for.cond1.preheader
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%indvars.iv38 = phi i64 [ 0, %for.cond1.preheader ], [ %indvars.iv.next39, %for.inc17 ]
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br label %for.body6
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for.body6: ; preds = %for.body6, %for.cond4.preheader
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%indvars.iv = phi i64 [ 0, %for.cond4.preheader ], [ %indvars.iv.next, %for.body6 ]
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%arrayidx8 = getelementptr inbounds [1024 x float], [1024 x float]* %A, i64 %indvars.iv41, i64 %indvars.iv
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%tmp = load float, float* %arrayidx8, align 4
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%conv = fpext float %tmp to double
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%arrayidx12 = getelementptr inbounds [1024 x double], [1024 x double]* %B, i64 %indvars.iv, i64 %indvars.iv38
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%tmp1 = load double, double* %arrayidx12, align 8
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%mul = fmul double %conv, %tmp1
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%arrayidx16 = getelementptr inbounds [1024 x double], [1024 x double]* %C, i64 %indvars.iv41, i64 %indvars.iv38
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%tmp2 = load double, double* %arrayidx16, align 8
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%add = fadd double %tmp2, %mul
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store double %add, double* %arrayidx16, 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.inc17
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for.inc17: ; preds = %for.body6
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%indvars.iv.next39 = add nuw nsw i64 %indvars.iv38, 1
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%exitcond40 = icmp ne i64 %indvars.iv.next39, 1024
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br i1 %exitcond40, label %for.cond4.preheader, label %for.inc20
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for.inc20: ; preds = %for.inc17
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%indvars.iv.next42 = add nuw nsw i64 %indvars.iv41, 1
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%exitcond43 = icmp ne i64 %indvars.iv.next42, 1024
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br i1 %exitcond43, label %for.cond1.preheader, label %for.end22
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for.end22: ; preds = %for.inc20
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ret void
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}
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