Files
clang-p2996/llvm/test/Transforms/LoopVectorize/AArch64/predication_costs.ll
Ayal Zaks 6627883369 [LV] Using VPlan to model the vectorized code and drive its transformation
VPlan is an ongoing effort to refactor and extend the Loop Vectorizer. This
patch introduces the VPlan model into LV and uses it to represent the vectorized
code and drive the generation of vectorized IR.

In this patch VPlan models the vectorized loop body: the vectorized control-flow
is represented using VPlan's Hierarchical CFG, with predication refactored from
being a post-vectorization-step into a vectorization planning step modeling
if-then VPRegionBlocks, and generating code inline with non-predicated code. The
vectorized code within each VPBasicBlock is represented as a sequence of
Recipes, each responsible for modelling and generating a sequence of IR
instructions. To keep the size of this commit manageable the Recipes in this
patch are coarse-grained and capture large chunks of LV's code-generation logic.
The constructed VPlans are dumped in dot format under -debug.

This commit retains current vectorizer output, except for minor instruction
reorderings; see associated modifications to lit tests.

For further details on the VPlan model see docs/Proposals/VectorizationPlan.rst
and its references.

Authors: Gil Rapaport and Ayal Zaks

Differential Revision: https://reviews.llvm.org/D32871

llvm-svn: 311077
2017-08-17 09:29:59 +00:00

232 lines
7.5 KiB
LLVM

; REQUIRES: asserts
; RUN: opt < %s -force-vector-width=2 -loop-vectorize -debug-only=loop-vectorize -disable-output 2>&1 | FileCheck %s
target datalayout = "e-m:e-i64:64-i128:128-n32:64-S128"
target triple = "aarch64--linux-gnu"
; Check predication-related cost calculations, including scalarization overhead
; and block probability scaling. Note that the functionality being tested is
; not specific to AArch64. We specify a target to get actual values for the
; instruction costs.
; CHECK-LABEL: predicated_udiv
;
; This test checks that we correctly compute the cost of the predicated udiv
; instruction. If we assume the block probability is 50%, we compute the cost
; as:
;
; Cost of udiv:
; (udiv(2) + extractelement(6) + insertelement(3)) / 2 = 5
;
; CHECK: Scalarizing and predicating: %tmp4 = udiv i32 %tmp2, %tmp3
; CHECK: Found an estimated cost of 5 for VF 2 For instruction: %tmp4 = udiv i32 %tmp2, %tmp3
;
define i32 @predicated_udiv(i32* %a, i32* %b, i1 %c, i64 %n) {
entry:
br label %for.body
for.body:
%i = phi i64 [ 0, %entry ], [ %i.next, %for.inc ]
%r = phi i32 [ 0, %entry ], [ %tmp6, %for.inc ]
%tmp0 = getelementptr inbounds i32, i32* %a, i64 %i
%tmp1 = getelementptr inbounds i32, i32* %b, i64 %i
%tmp2 = load i32, i32* %tmp0, align 4
%tmp3 = load i32, i32* %tmp1, align 4
br i1 %c, label %if.then, label %for.inc
if.then:
%tmp4 = udiv i32 %tmp2, %tmp3
br label %for.inc
for.inc:
%tmp5 = phi i32 [ %tmp3, %for.body ], [ %tmp4, %if.then]
%tmp6 = add i32 %r, %tmp5
%i.next = add nuw nsw i64 %i, 1
%cond = icmp slt i64 %i.next, %n
br i1 %cond, label %for.body, label %for.end
for.end:
%tmp7 = phi i32 [ %tmp6, %for.inc ]
ret i32 %tmp7
}
; CHECK-LABEL: predicated_store
;
; This test checks that we correctly compute the cost of the predicated store
; instruction. If we assume the block probability is 50%, we compute the cost
; as:
;
; Cost of store:
; (store(4) + extractelement(3)) / 2 = 3
;
; CHECK: Scalarizing and predicating: store i32 %tmp2, i32* %tmp0, align 4
; CHECK: Found an estimated cost of 3 for VF 2 For instruction: store i32 %tmp2, i32* %tmp0, align 4
;
define void @predicated_store(i32* %a, i1 %c, i32 %x, i64 %n) {
entry:
br label %for.body
for.body:
%i = phi i64 [ 0, %entry ], [ %i.next, %for.inc ]
%tmp0 = getelementptr inbounds i32, i32* %a, i64 %i
%tmp1 = load i32, i32* %tmp0, align 4
%tmp2 = add nsw i32 %tmp1, %x
br i1 %c, label %if.then, label %for.inc
if.then:
store i32 %tmp2, i32* %tmp0, align 4
br label %for.inc
for.inc:
%i.next = add nuw nsw i64 %i, 1
%cond = icmp slt i64 %i.next, %n
br i1 %cond, label %for.body, label %for.end
for.end:
ret void
}
; CHECK-LABEL: predicated_udiv_scalarized_operand
;
; This test checks that we correctly compute the cost of the predicated udiv
; instruction and the add instruction it uses. The add is scalarized and sunk
; inside the predicated block. If we assume the block probability is 50%, we
; compute the cost as:
;
; Cost of add:
; (add(2) + extractelement(3)) / 2 = 2
; Cost of udiv:
; (udiv(2) + extractelement(3) + insertelement(3)) / 2 = 4
;
; CHECK: Scalarizing: %tmp3 = add nsw i32 %tmp2, %x
; CHECK: Scalarizing and predicating: %tmp4 = udiv i32 %tmp2, %tmp3
; CHECK: Found an estimated cost of 2 for VF 2 For instruction: %tmp3 = add nsw i32 %tmp2, %x
; CHECK: Found an estimated cost of 4 for VF 2 For instruction: %tmp4 = udiv i32 %tmp2, %tmp3
;
define i32 @predicated_udiv_scalarized_operand(i32* %a, i1 %c, i32 %x, i64 %n) {
entry:
br label %for.body
for.body:
%i = phi i64 [ 0, %entry ], [ %i.next, %for.inc ]
%r = phi i32 [ 0, %entry ], [ %tmp6, %for.inc ]
%tmp0 = getelementptr inbounds i32, i32* %a, i64 %i
%tmp2 = load i32, i32* %tmp0, align 4
br i1 %c, label %if.then, label %for.inc
if.then:
%tmp3 = add nsw i32 %tmp2, %x
%tmp4 = udiv i32 %tmp2, %tmp3
br label %for.inc
for.inc:
%tmp5 = phi i32 [ %tmp2, %for.body ], [ %tmp4, %if.then]
%tmp6 = add i32 %r, %tmp5
%i.next = add nuw nsw i64 %i, 1
%cond = icmp slt i64 %i.next, %n
br i1 %cond, label %for.body, label %for.end
for.end:
%tmp7 = phi i32 [ %tmp6, %for.inc ]
ret i32 %tmp7
}
; CHECK-LABEL: predicated_store_scalarized_operand
;
; This test checks that we correctly compute the cost of the predicated store
; instruction and the add instruction it uses. The add is scalarized and sunk
; inside the predicated block. If we assume the block probability is 50%, we
; compute the cost as:
;
; Cost of add:
; (add(2) + extractelement(3)) / 2 = 2
; Cost of store:
; store(4) / 2 = 2
;
; CHECK: Scalarizing: %tmp2 = add nsw i32 %tmp1, %x
; CHECK: Scalarizing and predicating: store i32 %tmp2, i32* %tmp0, align 4
; CHECK: Found an estimated cost of 2 for VF 2 For instruction: %tmp2 = add nsw i32 %tmp1, %x
; CHECK: Found an estimated cost of 2 for VF 2 For instruction: store i32 %tmp2, i32* %tmp0, align 4
;
define void @predicated_store_scalarized_operand(i32* %a, i1 %c, i32 %x, i64 %n) {
entry:
br label %for.body
for.body:
%i = phi i64 [ 0, %entry ], [ %i.next, %for.inc ]
%tmp0 = getelementptr inbounds i32, i32* %a, i64 %i
%tmp1 = load i32, i32* %tmp0, align 4
br i1 %c, label %if.then, label %for.inc
if.then:
%tmp2 = add nsw i32 %tmp1, %x
store i32 %tmp2, i32* %tmp0, align 4
br label %for.inc
for.inc:
%i.next = add nuw nsw i64 %i, 1
%cond = icmp slt i64 %i.next, %n
br i1 %cond, label %for.body, label %for.end
for.end:
ret void
}
; CHECK-LABEL: predication_multi_context
;
; This test checks that we correctly compute the cost of multiple predicated
; instructions in the same block. The sdiv, udiv, and store must be scalarized
; and predicated. The sub feeding the store is scalarized and sunk inside the
; store's predicated block. However, the add feeding the sdiv and udiv cannot
; be sunk and is not scalarized. If we assume the block probability is 50%, we
; compute the cost as:
;
; Cost of add:
; add(1) = 1
; Cost of sdiv:
; (sdiv(2) + extractelement(6) + insertelement(3)) / 2 = 5
; Cost of udiv:
; (udiv(2) + extractelement(6) + insertelement(3)) / 2 = 5
; Cost of sub:
; (sub(2) + extractelement(3)) / 2 = 2
; Cost of store:
; store(4) / 2 = 2
;
; CHECK-NOT: Scalarizing: %tmp2 = add i32 %tmp1, %x
; CHECK: Scalarizing and predicating: %tmp3 = sdiv i32 %tmp1, %tmp2
; CHECK: Scalarizing and predicating: %tmp4 = udiv i32 %tmp3, %tmp2
; CHECK: Scalarizing: %tmp5 = sub i32 %tmp4, %x
; CHECK: Scalarizing and predicating: store i32 %tmp5, i32* %tmp0, align 4
; CHECK: Found an estimated cost of 1 for VF 2 For instruction: %tmp2 = add i32 %tmp1, %x
; CHECK: Found an estimated cost of 5 for VF 2 For instruction: %tmp3 = sdiv i32 %tmp1, %tmp2
; CHECK: Found an estimated cost of 5 for VF 2 For instruction: %tmp4 = udiv i32 %tmp3, %tmp2
; CHECK: Found an estimated cost of 2 for VF 2 For instruction: %tmp5 = sub i32 %tmp4, %x
; CHECK: Found an estimated cost of 2 for VF 2 For instruction: store i32 %tmp5, i32* %tmp0, align 4
;
define void @predication_multi_context(i32* %a, i1 %c, i32 %x, i64 %n) {
entry:
br label %for.body
for.body:
%i = phi i64 [ 0, %entry ], [ %i.next, %for.inc ]
%tmp0 = getelementptr inbounds i32, i32* %a, i64 %i
%tmp1 = load i32, i32* %tmp0, align 4
br i1 %c, label %if.then, label %for.inc
if.then:
%tmp2 = add i32 %tmp1, %x
%tmp3 = sdiv i32 %tmp1, %tmp2
%tmp4 = udiv i32 %tmp3, %tmp2
%tmp5 = sub i32 %tmp4, %x
store i32 %tmp5, i32* %tmp0, align 4
br label %for.inc
for.inc:
%i.next = add nuw nsw i64 %i, 1
%cond = icmp slt i64 %i.next, %n
br i1 %cond, label %for.body, label %for.end
for.end:
ret void
}