; RUN: opt %loadPolly -polly-opt-isl -polly-pattern-matching-based-opts=true \ ; RUN: -debug < %s 2>&1| FileCheck %s ; RUN: opt %loadPolly -polly-opt-isl -polly-pattern-matching-based-opts=true \ ; RUN: -polly-target-throughput-vector-fma=1 \ ; RUN: -polly-target-latency-vector-fma=8 \ ; RUN: -polly-target-1st-cache-level-size=32768 \ ; RUN: -polly-target-vector-register-bitwidth=256 \ ; RUN: -polly-target-2nd-cache-level-size=262144 -polly-ast \ ; RUN: -analyze < %s | FileCheck %s --check-prefix=PATTERN-MATCHING-OPTS ; REQUIRES: asserts ; ; C := A * B + C ; Check that the pattern matching optimizations can detect different ; permutations of GEMM loop and produce the correct ISL AST. In this case, ; dimensions of band nodes can be implicitly permuted by the algorithm ; applied during the schedule generation. It should be taken into the ; account during the pattern matching optimizations. ; for (i = 0; i < _PB_NI; i++) ; for (k = 0; k < _PB_NK; ++k) ; for (j = 0; j < _PB_NJ; j++) ; C[i][j] += A[i][k] * B[k][j]; ; ; CHECK: The matrix multiplication pattern was detected ; ; PATTERN-MATCHING-OPTS: // 1st level tiling - Tiles ; PATTERN-MATCHING-OPTS-NEXT: for (int c1 = 0; c1 <= 3; c1 += 1) { ; PATTERN-MATCHING-OPTS-NEXT: for (int c3 = 256 * c1; c3 <= 256 * c1 + 255; c3 += 1) ; PATTERN-MATCHING-OPTS-NEXT: for (int c4 = 0; c4 <= 1023; c4 += 1) ; PATTERN-MATCHING-OPTS-NEXT: CopyStmt_0(0, c3, c4); ; PATTERN-MATCHING-OPTS-NEXT: for (int c2 = 0; c2 <= 10; c2 += 1) { ; PATTERN-MATCHING-OPTS-NEXT: for (int c3 = 96 * c2; c3 <= min(1023, 96 * c2 + 95); c3 += 1) ; PATTERN-MATCHING-OPTS-NEXT: for (int c4 = 256 * c1; c4 <= 256 * c1 + 255; c4 += 1) ; PATTERN-MATCHING-OPTS-NEXT: CopyStmt_1(c3, c4, 0); ; PATTERN-MATCHING-OPTS-NEXT: // 1st level tiling - Points ; PATTERN-MATCHING-OPTS-NEXT: // Register tiling - Tiles ; PATTERN-MATCHING-OPTS-NEXT: for (int c3 = 0; c3 <= 127; c3 += 1) ; PATTERN-MATCHING-OPTS-NEXT: for (int c4 = 0; c4 <= min(23, -24 * c2 + 255); c4 += 1) ; PATTERN-MATCHING-OPTS-NEXT: for (int c5 = 0; c5 <= 255; c5 += 1) { ; PATTERN-MATCHING-OPTS-NEXT: // Loop Vectorizer Disabled ; PATTERN-MATCHING-OPTS-NEXT: // Register tiling - Points ; PATTERN-MATCHING-OPTS-NEXT: { ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 256 * c1 + c5, 8 * c3); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 256 * c1 + c5, 8 * c3 + 1); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 256 * c1 + c5, 8 * c3 + 2); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 256 * c1 + c5, 8 * c3 + 3); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 256 * c1 + c5, 8 * c3 + 4); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 256 * c1 + c5, 8 * c3 + 5); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 256 * c1 + c5, 8 * c3 + 6); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4, 256 * c1 + c5, 8 * c3 + 7); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 256 * c1 + c5, 8 * c3); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 256 * c1 + c5, 8 * c3 + 1); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 256 * c1 + c5, 8 * c3 + 2); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 256 * c1 + c5, 8 * c3 + 3); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 256 * c1 + c5, 8 * c3 + 4); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 256 * c1 + c5, 8 * c3 + 5); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 256 * c1 + c5, 8 * c3 + 6); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 1, 256 * c1 + c5, 8 * c3 + 7); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 256 * c1 + c5, 8 * c3); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 256 * c1 + c5, 8 * c3 + 1); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 256 * c1 + c5, 8 * c3 + 2); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 256 * c1 + c5, 8 * c3 + 3); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 256 * c1 + c5, 8 * c3 + 4); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 256 * c1 + c5, 8 * c3 + 5); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 256 * c1 + c5, 8 * c3 + 6); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 2, 256 * c1 + c5, 8 * c3 + 7); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 256 * c1 + c5, 8 * c3); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 256 * c1 + c5, 8 * c3 + 1); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 256 * c1 + c5, 8 * c3 + 2); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 256 * c1 + c5, 8 * c3 + 3); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 256 * c1 + c5, 8 * c3 + 4); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 256 * c1 + c5, 8 * c3 + 5); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 256 * c1 + c5, 8 * c3 + 6); ; PATTERN-MATCHING-OPTS-NEXT: Stmt_for_body6(96 * c2 + 4 * c4 + 3, 256 * c1 + c5, 8 * c3 + 7); ; PATTERN-MATCHING-OPTS-NEXT: } ; PATTERN-MATCHING-OPTS-NEXT: } ; PATTERN-MATCHING-OPTS-NEXT: } ; PATTERN-MATCHING-OPTS-NEXT: } ; target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128" target triple = "x86_64-unknown-unknown" define internal void @kernel_gemm(i32 %ni, i32 %nj, i32 %nk, double %alpha, double %beta, [1024 x double]* %C, [1024 x double]* %A, [1024 x double]* %B) { entry: br label %entry.split entry.split: ; preds = %entry br label %for.cond1.preheader for.cond1.preheader: ; preds = %for.inc20, %entry.split %indvars.iv41 = phi i64 [ 0, %entry.split ], [ %indvars.iv.next42, %for.inc20 ] br label %for.cond4.preheader for.cond4.preheader: ; preds = %for.inc17, %for.cond1.preheader %indvars.iv38 = phi i64 [ 0, %for.cond1.preheader ], [ %indvars.iv.next39, %for.inc17 ] br label %for.body6 for.body6: ; preds = %for.body6, %for.cond4.preheader %indvars.iv = phi i64 [ 0, %for.cond4.preheader ], [ %indvars.iv.next, %for.body6 ] %arrayidx8 = getelementptr inbounds [1024 x double], [1024 x double]* %A, i64 %indvars.iv41, i64 %indvars.iv38 %tmp = load double, double* %arrayidx8, align 8 %arrayidx12 = getelementptr inbounds [1024 x double], [1024 x double]* %B, i64 %indvars.iv38, i64 %indvars.iv %tmp1 = load double, double* %arrayidx12, align 8 %mul = fmul double %tmp, %tmp1 %arrayidx16 = getelementptr inbounds [1024 x double], [1024 x double]* %C, i64 %indvars.iv41, i64 %indvars.iv %tmp2 = load double, double* %arrayidx16, align 8 %add = fadd double %tmp2, %mul store double %add, double* %arrayidx16, align 8 %indvars.iv.next = add nuw nsw i64 %indvars.iv, 1 %exitcond = icmp ne i64 %indvars.iv.next, 1024 br i1 %exitcond, label %for.body6, label %for.inc17 for.inc17: ; preds = %for.body6 %indvars.iv.next39 = add nuw nsw i64 %indvars.iv38, 1 %exitcond40 = icmp ne i64 %indvars.iv.next39, 1024 br i1 %exitcond40, label %for.cond4.preheader, label %for.inc20 for.inc20: ; preds = %for.inc17 %indvars.iv.next42 = add nuw nsw i64 %indvars.iv41, 1 %exitcond43 = icmp ne i64 %indvars.iv.next42, 1024 br i1 %exitcond43, label %for.cond1.preheader, label %for.end22 for.end22: ; preds = %for.inc20 ret void }