/*
* Copyright ( C ) 2017 The Android Open Source Project
*
* Licensed under the Apache License , Version 2 . 0 ( the " License " ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an " AS IS " BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*/
/**
* Tests for SAD ( sum of absolute differences ) .
*/
public class SimdSadShort {
private static int $inline$seven() {
return 7 ;
}
// TODO: lower precision still coming, b/64091002
private static short sadShort2Short(short [] s1, short [] s2) {
int min_length = Math.min(s1.length, s2.length);
short sad = 0 ;
for (int i = 0 ; i < min_length; i++) {
sad += Math.abs(s1[i] - s2[i]);
}
return sad;
}
private static short sadShort2ShortAlt(short [] s1, short [] s2) {
int min_length = Math.min(s1.length, s2.length);
short sad = 0 ;
for (int i = 0 ; i < min_length; i++) {
short s = s1[i];
short p = s2[i];
sad += s >= p ? s - p : p - s;
}
return sad;
}
private static short sadShort2ShortAlt2(short [] s1, short [] s2) {
int min_length = Math.min(s1.length, s2.length);
short sad = 0 ;
for (int i = 0 ; i < min_length; i++) {
short s = s1[i];
short p = s2[i];
int x = s - p;
if (x < 0 ) x = -x;
sad += x;
}
return sad;
}
/// CHECK-START: int SimdSadShort.sadShort2Int(short[], short[]) loop_optimization (before)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Phi2:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get1:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get2:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Sub:i\d+>> Sub [<<Get1>>,<<Get2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Intrin:i\d+>> Abs [<<Sub>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi2>>,<<Intrin>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons1>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-START-ARM64: int SimdSadShort.sadShort2Int(short[], short[]) loop_optimization (after)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-IF: hasIsaFeature("sve") and os.environ.get('ART_FORCE_TRY_PREDICATED_SIMD') == 'true'
//
// SAD idiom is not supported for SVE.
/// CHECK-NOT: VecSADAccumulate
//
/// CHECK-ELSE:
//
/// CHECK-DAG: <<Cons8:i\d+>> IntConstant 8 loop:none
/// CHECK-DAG: <<Set:d\d+>> VecSetScalars [<<Cons0>>] loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:d\d+>> Phi [<<Set>>,{{d\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load1:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load2:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<SAD:d\d+>> VecSADAccumulate [<<Phi2>>,<<Load1>>,<<Load2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons8>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-FI:
private static int sadShort2Int(short [] s1, short [] s2) {
int min_length = Math.min(s1.length, s2.length);
int sad = 0 ;
for (int i = 0 ; i < min_length; i++) {
sad += Math.abs(s1[i] - s2[i]);
}
return sad;
}
/// CHECK-START: int SimdSadShort.sadShort2IntAlt(short[], short[]) loop_optimization (before)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Phi2:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get1:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get2:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Sub:i\d+>> Sub [<<Get2>>,<<Get1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Intrin:i\d+>> Abs [<<Sub>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi2>>,<<Intrin>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons1>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-START-ARM64: int SimdSadShort.sadShort2IntAlt(short[], short[]) loop_optimization (after)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-IF: hasIsaFeature("sve") and os.environ.get('ART_FORCE_TRY_PREDICATED_SIMD') == 'true'
//
// SAD idiom is not supported for SVE.
/// CHECK-NOT: VecSADAccumulate
//
/// CHECK-ELSE:
//
/// CHECK-DAG: <<Cons8:i\d+>> IntConstant 8 loop:none
/// CHECK-DAG: <<Set:d\d+>> VecSetScalars [<<Cons0>>] loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:d\d+>> Phi [<<Set>>,{{d\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load1:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load2:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<SAD:d\d+>> VecSADAccumulate [<<Phi2>>,<<Load2>>,<<Load1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons8>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-FI:
private static int sadShort2IntAlt(short [] s1, short [] s2) {
int min_length = Math.min(s1.length, s2.length);
int sad = 0 ;
for (int i = 0 ; i < min_length; i++) {
short s = s1[i];
short p = s2[i];
sad += s >= p ? s - p : p - s;
}
return sad;
}
/// CHECK-START: int SimdSadShort.sadShort2IntAlt2(short[], short[]) loop_optimization (before)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Phi2:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get1:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get2:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Sub:i\d+>> Sub [<<Get1>>,<<Get2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Intrin:i\d+>> Abs [<<Sub>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi2>>,<<Intrin>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons1>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-START-ARM64: int SimdSadShort.sadShort2IntAlt2(short[], short[]) loop_optimization (after)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-IF: hasIsaFeature("sve") and os.environ.get('ART_FORCE_TRY_PREDICATED_SIMD') == 'true'
//
// SAD idiom is not supported for SVE.
/// CHECK-NOT: VecSADAccumulate
//
/// CHECK-ELSE:
//
/// CHECK-DAG: <<Cons8:i\d+>> IntConstant 8 loop:none
/// CHECK-DAG: <<Set:d\d+>> VecSetScalars [<<Cons0>>] loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:d\d+>> Phi [<<Set>>,{{d\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load1:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load2:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<SAD:d\d+>> VecSADAccumulate [<<Phi2>>,<<Load1>>,<<Load2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons8>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-FI:
private static int sadShort2IntAlt2(short [] s1, short [] s2) {
int min_length = Math.min(s1.length, s2.length);
int sad = 0 ;
for (int i = 0 ; i < min_length; i++) {
short s = s1[i];
short p = s2[i];
int x = s - p;
if (x < 0 ) x = -x;
sad += x;
}
return sad;
}
/// CHECK-START: int SimdSadShort.sadShort2IntConstant1(short[]) loop_optimization (before)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Cons:i\d+>> IntConstant -7 loop:none
/// CHECK-DAG: <<Phi2:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get1:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Add:i\d+>> Add [<<Get1>>,<<Cons>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Intrin:i\d+>> Abs [<<Add>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi2>>,<<Intrin>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons1>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-START-ARM64: int SimdSadShort.sadShort2IntConstant1(short[]) loop_optimization (after)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Cons:i\d+>> IntConstant 7 loop:none
/// CHECK-IF: hasIsaFeature("sve") and os.environ.get('ART_FORCE_TRY_PREDICATED_SIMD') == 'true'
//
// SAD idiom is not supported for SVE.
/// CHECK-NOT: VecSADAccumulate
//
/// CHECK-ELSE:
//
/// CHECK-DAG: <<Cons8:i\d+>> IntConstant 8 loop:none
/// CHECK-DAG: <<Rep:d\d+>> VecReplicateScalar [<<Cons>>] loop:none
/// CHECK-DAG: <<Set:d\d+>> VecSetScalars [<<Cons0>>] loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:d\d+>> Phi [<<Set>>,{{d\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load1:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<SAD:d\d+>> VecSADAccumulate [<<Phi2>>,<<Load1>>,<<Rep>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons8>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-FI:
private static int sadShort2IntConstant1(short [] s) {
int sad = 0 ;
for (int i = 0 ; i < s.length; i++) {
sad += Math.abs(s[i] - 7 ); // s[i] + -7
}
return sad;
}
/// CHECK-START: int SimdSadShort.sadShort2IntConstant2(short[]) loop_optimization (before)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Cons:i\d+>> IntConstant 7 loop:none
/// CHECK-DAG: <<Phi2:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get1:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Sub:i\d+>> Sub [<<Get1>>,<<Cons>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Intrin:i\d+>> Abs [<<Sub>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi2>>,<<Intrin>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons1>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-START-ARM64: int SimdSadShort.sadShort2IntConstant2(short[]) loop_optimization (after)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Cons:i\d+>> IntConstant 7 loop:none
/// CHECK-IF: hasIsaFeature("sve") and os.environ.get('ART_FORCE_TRY_PREDICATED_SIMD') == 'true'
//
// SAD idiom is not supported for SVE.
/// CHECK-NOT: VecSADAccumulate
//
/// CHECK-ELSE:
//
/// CHECK-DAG: <<Cons8:i\d+>> IntConstant 8 loop:none
/// CHECK-DAG: <<Rep:d\d+>> VecReplicateScalar [<<Cons>>] loop:none
/// CHECK-DAG: <<Set:d\d+>> VecSetScalars [<<Cons0>>] loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:d\d+>> Phi [<<Set>>,{{d\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load1:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<SAD:d\d+>> VecSADAccumulate [<<Phi2>>,<<Load1>>,<<Rep>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons8>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-FI:
private static int sadShort2IntConstant2(short [] s) {
int sad = 0 ;
for (int i = 0 ; i < s.length; i++) {
sad += Math.abs(s[i] - $inline$seven()); // s[i] - 7
}
return sad;
}
/// CHECK-START: int SimdSadShort.sadShort2IntConstant3(short[]) loop_optimization (before)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Cons:i\d+>> IntConstant 7 loop:none
/// CHECK-DAG: <<Phi2:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get1:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Add:i\d+>> Add [<<Get1>>,<<Cons>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Intrin:i\d+>> Abs [<<Add>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi2>>,<<Intrin>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons1>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-START-ARM64: int SimdSadShort.sadShort2IntConstant3(short[]) loop_optimization (after)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<Cons:i\d+>> IntConstant -7 loop:none
/// CHECK-IF: hasIsaFeature("sve") and os.environ.get('ART_FORCE_TRY_PREDICATED_SIMD') == 'true'
//
// SAD idiom is not supported for SVE.
/// CHECK-NOT: VecSADAccumulate
//
/// CHECK-ELSE:
//
/// CHECK-DAG: <<Cons8:i\d+>> IntConstant 8 loop:none
/// CHECK-DAG: <<Rep:d\d+>> VecReplicateScalar [<<Cons>>] loop:none
/// CHECK-DAG: <<Set:d\d+>> VecSetScalars [<<Cons0>>] loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:d\d+>> Phi [<<Set>>,{{d\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load1:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<SAD:d\d+>> VecSADAccumulate [<<Phi2>>,<<Load1>>,<<Rep>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons8>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-FI:
private static int sadShort2IntConstant3(short [] s) {
int sad = 0 ;
for (int i = 0 ; i < s.length; i++) {
sad += Math.abs(s[i] + $inline$seven()); // hidden s[i] - (-7)
}
return sad;
}
/// CHECK-START: long SimdSadShort.sadShort2Long(short[], short[]) loop_optimization (before)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<ConsL:j\d+>> LongConstant 0 loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:j\d+>> Phi [<<ConsL>>,{{j\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get1:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get2:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Cnv1:j\d+>> TypeConversion [<<Get1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Cnv2:j\d+>> TypeConversion [<<Get2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Sub:j\d+>> Sub [<<Cnv1>>,<<Cnv2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Intrin:j\d+>> Abs [<<Sub>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi2>>,<<Intrin>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons1>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-START-ARM64: long SimdSadShort.sadShort2Long(short[], short[]) loop_optimization (after)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<ConsL:j\d+>> LongConstant 0 loop:none
/// CHECK-IF: hasIsaFeature("sve") and os.environ.get('ART_FORCE_TRY_PREDICATED_SIMD') == 'true'
//
// SAD idiom is not supported for SVE.
/// CHECK-NOT: VecSADAccumulate
//
/// CHECK-ELSE:
//
/// CHECK-DAG: <<Cons8:i\d+>> IntConstant 8 loop:none
/// CHECK-DAG: <<Set:d\d+>> VecSetScalars [<<ConsL>>] loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:d\d+>> Phi [<<Set>>,{{d\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load1:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load2:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<SAD:d\d+>> VecSADAccumulate [<<Phi2>>,<<Load1>>,<<Load2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons8>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-FI:
private static long sadShort2Long(short [] s1, short [] s2) {
int min_length = Math.min(s1.length, s2.length);
long sad = 0 ;
for (int i = 0 ; i < min_length; i++) {
long x = s1[i];
long y = s2[i];
sad += Math.abs(x - y);
}
return sad;
}
/// CHECK-START: long SimdSadShort.sadShort2LongAt1(short[], short[]) loop_optimization (before)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<Cons1:i\d+>> IntConstant 1 loop:none
/// CHECK-DAG: <<ConsL:j\d+>> LongConstant 1 loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:j\d+>> Phi [<<ConsL>>,{{j\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get1:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Get2:s\d+>> ArrayGet [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Cnv1:j\d+>> TypeConversion [<<Get1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Cnv2:j\d+>> TypeConversion [<<Get2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Sub:j\d+>> Sub [<<Cnv1>>,<<Cnv2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Intrin:j\d+>> Abs [<<Sub>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi2>>,<<Intrin>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons1>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-START-ARM64: long SimdSadShort.sadShort2LongAt1(short[], short[]) loop_optimization (after)
/// CHECK-DAG: <<Cons0:i\d+>> IntConstant 0 loop:none
/// CHECK-DAG: <<ConsL:j\d+>> LongConstant 1 loop:none
/// CHECK-IF: hasIsaFeature("sve") and os.environ.get('ART_FORCE_TRY_PREDICATED_SIMD') == 'true'
//
// SAD idiom is not supported for SVE.
/// CHECK-NOT: VecSADAccumulate
//
/// CHECK-ELSE:
//
/// CHECK-DAG: <<Cons8:i\d+>> IntConstant 8 loop:none
/// CHECK-DAG: <<Set:d\d+>> VecSetScalars [<<ConsL>>] loop:none
/// CHECK-DAG: <<Phi1:i\d+>> Phi [<<Cons0>>,{{i\d+}}] loop:<<Loop:B\d+>> outer_loop:none
/// CHECK-DAG: <<Phi2:d\d+>> Phi [<<Set>>,{{d\d+}}] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load1:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<Load2:d\d+>> VecLoad [{{l\d+}},<<Phi1>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: <<SAD:d\d+>> VecSADAccumulate [<<Phi2>>,<<Load1>>,<<Load2>>] loop:<<Loop>> outer_loop:none
/// CHECK-DAG: Add [<<Phi1>>,<<Cons8>>] loop:<<Loop>> outer_loop:none
//
/// CHECK-FI:
private static long sadShort2LongAt1(short [] s1, short [] s2) {
int min_length = Math.min(s1.length, s2.length);
long sad = 1 ; // starts at 1
for (int i = 0 ; i < min_length; i++) {
long x = s1[i];
long y = s2[i];
sad += Math.abs(x - y);
}
return sad;
}
public static void main() {
// Cross-test the two most extreme values individually.
short [] s1 = { 0 , -32768 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 };
short [] s2 = { 0 , 32767 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 };
expectEquals(-1 , sadShort2Short(s1, s2));
expectEquals(-1 , sadShort2Short(s2, s1));
expectEquals(-1 , sadShort2ShortAlt(s1, s2));
expectEquals(-1 , sadShort2ShortAlt(s2, s1));
expectEquals(-1 , sadShort2ShortAlt2(s1, s2));
expectEquals(-1 , sadShort2ShortAlt2(s2, s1));
expectEquals(65535 , sadShort2Int(s1, s2));
expectEquals(65535 , sadShort2Int(s2, s1));
expectEquals(65535 , sadShort2IntAlt(s1, s2));
expectEquals(65535 , sadShort2IntAlt(s2, s1));
expectEquals(65535 , sadShort2IntAlt2(s1, s2));
expectEquals(65535 , sadShort2IntAlt2(s2, s1));
expectEquals(32880 , sadShort2IntConstant1(s1));
expectEquals(32880 , sadShort2IntConstant2(s1));
expectEquals(32866 , sadShort2IntConstant3(s1));
expectEquals(65535 L, sadShort2Long(s1, s2));
expectEquals(65535 L, sadShort2Long(s2, s1));
expectEquals(65536 L, sadShort2LongAt1(s1, s2));
expectEquals(65536 L, sadShort2LongAt1(s2, s1));
// Use cross-values to test all cases.
short [] interesting = {
(short ) 0 x0000,
(short ) 0 x0001,
(short ) 0 x0002,
(short ) 0 x1234,
(short ) 0 x8000,
(short ) 0 x8001,
(short ) 0 x7fff,
(short ) 0 xffff
};
int n = interesting.length;
int m = n * n + 1 ;
s1 = new short [m];
s2 = new short [m];
int k = 0 ;
for (int i = 0 ; i < n; i++) {
for (int j = 0 ; j < n; j++) {
s1[k] = interesting[i];
s2[k] = interesting[j];
k++;
}
}
s1[k] = 10 ;
s2[k] = 2 ;
expectEquals(-18932 , sadShort2Short(s1, s2));
expectEquals(-18932 , sadShort2ShortAlt(s1, s2));
expectEquals(-18932 , sadShort2ShortAlt2(s1, s2));
expectEquals(1291788 , sadShort2Int(s1, s2));
expectEquals(1291788 , sadShort2IntAlt(s1, s2));
expectEquals(1291788 , sadShort2IntAlt2(s1, s2));
expectEquals(823907 , sadShort2IntConstant1(s1));
expectEquals(823907 , sadShort2IntConstant2(s1));
expectEquals(823953 , sadShort2IntConstant3(s1));
expectEquals(1291788 L, sadShort2Long(s1, s2));
expectEquals(1291789 L, sadShort2LongAt1(s1, s2));
System.out.println("SimdSadShort passed" );
}
private static void expectEquals(int expected, int result) {
if (expected != result) {
throw new Error("Expected: " + expected + ", found: " + result);
}
}
private static void expectEquals(long expected, long result) {
if (expected != result) {
throw new Error("Expected: " + expected + ", found: " + result);
}
}
}
Messung V0.5 in Prozent C=82 H=88 G=84
¤ Dauer der Verarbeitung: 0.3 Sekunden
(vorverarbeitet am 2026-06-29)
¤
*© Formatika GbR, Deutschland