2016-10-15 02:20:41 +08:00
|
|
|
; NOTE: Assertions have been autogenerated by utils/update_llc_test_checks.py
|
2018-11-08 20:14:10 +08:00
|
|
|
; RUN: llc < %s -mtriple=x86_64-pc-linux -mattr=+avx | FileCheck %s --check-prefixes=AVX,AVX1
|
|
|
|
; RUN: llc < %s -mtriple=x86_64-pc-linux -mattr=+avx2 | FileCheck %s --check-prefixes=AVX,AVX2OR512,AVX2
|
|
|
|
; RUN: llc < %s -mtriple=x86_64-pc-linux -mattr=+avx512f -mattr=+avx512bw | FileCheck %s --check-prefixes=AVX,AVX2OR512,AVX512
|
2016-10-15 02:20:41 +08:00
|
|
|
|
|
|
|
define <4 x double> @load_factorf64_4(<16 x double>* %ptr) {
|
|
|
|
; AVX-LABEL: load_factorf64_4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX: # %bb.0:
|
2016-10-15 02:20:41 +08:00
|
|
|
; AVX-NEXT: vmovupd (%rdi), %ymm0
|
|
|
|
; AVX-NEXT: vmovupd 32(%rdi), %ymm1
|
|
|
|
; AVX-NEXT: vmovupd 64(%rdi), %ymm2
|
|
|
|
; AVX-NEXT: vmovupd 96(%rdi), %ymm3
|
2017-06-12 05:18:58 +08:00
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm4 = ymm0[0,1],ymm2[0,1]
|
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm5 = ymm1[0,1],ymm3[0,1]
|
Add LiveRangeShrink pass to shrink live range within BB.
Summary: LiveRangeShrink pass moves instruction right after the definition with the same BB if the instruction and its operands all have more than one use. This pass is inexpensive and guarantees optimal live-range within BB.
Reviewers: davidxl, wmi, hfinkel, MatzeB, andreadb
Reviewed By: MatzeB, andreadb
Subscribers: hiraditya, jyknight, sanjoy, skatkov, gberry, jholewinski, qcolombet, javed.absar, krytarowski, atrick, spatel, RKSimon, andreadb, MatzeB, mehdi_amini, mgorny, efriedma, davide, dberlin, llvm-commits
Differential Revision: https://reviews.llvm.org/D32563
llvm-svn: 304371
2017-06-01 07:25:25 +08:00
|
|
|
; AVX-NEXT: vhaddpd %ymm5, %ymm4, %ymm4
|
2016-10-15 02:20:41 +08:00
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX-NEXT: vunpcklpd {{.*#+}} ymm2 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
Add LiveRangeShrink pass to shrink live range within BB.
Summary: LiveRangeShrink pass moves instruction right after the definition with the same BB if the instruction and its operands all have more than one use. This pass is inexpensive and guarantees optimal live-range within BB.
Reviewers: davidxl, wmi, hfinkel, MatzeB, andreadb
Reviewed By: MatzeB, andreadb
Subscribers: hiraditya, jyknight, sanjoy, skatkov, gberry, jholewinski, qcolombet, javed.absar, krytarowski, atrick, spatel, RKSimon, andreadb, MatzeB, mehdi_amini, mgorny, efriedma, davide, dberlin, llvm-commits
Differential Revision: https://reviews.llvm.org/D32563
llvm-svn: 304371
2017-06-01 07:25:25 +08:00
|
|
|
; AVX-NEXT: vaddpd %ymm2, %ymm4, %ymm2
|
2016-10-15 02:20:41 +08:00
|
|
|
; AVX-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
Add LiveRangeShrink pass to shrink live range within BB.
Summary: LiveRangeShrink pass moves instruction right after the definition with the same BB if the instruction and its operands all have more than one use. This pass is inexpensive and guarantees optimal live-range within BB.
Reviewers: davidxl, wmi, hfinkel, MatzeB, andreadb
Reviewed By: MatzeB, andreadb
Subscribers: hiraditya, jyknight, sanjoy, skatkov, gberry, jholewinski, qcolombet, javed.absar, krytarowski, atrick, spatel, RKSimon, andreadb, MatzeB, mehdi_amini, mgorny, efriedma, davide, dberlin, llvm-commits
Differential Revision: https://reviews.llvm.org/D32563
llvm-svn: 304371
2017-06-01 07:25:25 +08:00
|
|
|
; AVX-NEXT: vaddpd %ymm0, %ymm2, %ymm0
|
2016-10-15 02:20:41 +08:00
|
|
|
; AVX-NEXT: retq
|
|
|
|
%wide.vec = load <16 x double>, <16 x double>* %ptr, align 16
|
|
|
|
%strided.v0 = shufflevector <16 x double> %wide.vec, <16 x double> undef, <4 x i32> <i32 0, i32 4, i32 8, i32 12>
|
|
|
|
%strided.v1 = shufflevector <16 x double> %wide.vec, <16 x double> undef, <4 x i32> <i32 1, i32 5, i32 9, i32 13>
|
|
|
|
%strided.v2 = shufflevector <16 x double> %wide.vec, <16 x double> undef, <4 x i32> <i32 2, i32 6, i32 10, i32 14>
|
|
|
|
%strided.v3 = shufflevector <16 x double> %wide.vec, <16 x double> undef, <4 x i32> <i32 3, i32 7, i32 11, i32 15>
|
|
|
|
%add1 = fadd <4 x double> %strided.v0, %strided.v1
|
|
|
|
%add2 = fadd <4 x double> %add1, %strided.v2
|
|
|
|
%add3 = fadd <4 x double> %add2, %strided.v3
|
|
|
|
ret <4 x double> %add3
|
|
|
|
}
|
|
|
|
|
|
|
|
define <4 x double> @load_factorf64_2(<16 x double>* %ptr) {
|
|
|
|
; AVX-LABEL: load_factorf64_2:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX: # %bb.0:
|
2016-10-15 02:20:41 +08:00
|
|
|
; AVX-NEXT: vmovupd (%rdi), %ymm0
|
|
|
|
; AVX-NEXT: vmovupd 32(%rdi), %ymm1
|
|
|
|
; AVX-NEXT: vmovupd 64(%rdi), %ymm2
|
|
|
|
; AVX-NEXT: vmovupd 96(%rdi), %ymm3
|
2017-06-12 05:18:58 +08:00
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm4 = ymm0[0,1],ymm2[0,1]
|
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm5 = ymm1[0,1],ymm3[0,1]
|
Add LiveRangeShrink pass to shrink live range within BB.
Summary: LiveRangeShrink pass moves instruction right after the definition with the same BB if the instruction and its operands all have more than one use. This pass is inexpensive and guarantees optimal live-range within BB.
Reviewers: davidxl, wmi, hfinkel, MatzeB, andreadb
Reviewed By: MatzeB, andreadb
Subscribers: hiraditya, jyknight, sanjoy, skatkov, gberry, jholewinski, qcolombet, javed.absar, krytarowski, atrick, spatel, RKSimon, andreadb, MatzeB, mehdi_amini, mgorny, efriedma, davide, dberlin, llvm-commits
Differential Revision: https://reviews.llvm.org/D32563
llvm-svn: 304371
2017-06-01 07:25:25 +08:00
|
|
|
; AVX-NEXT: vunpcklpd {{.*#+}} ymm4 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
2016-10-15 02:20:41 +08:00
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
Add LiveRangeShrink pass to shrink live range within BB.
Summary: LiveRangeShrink pass moves instruction right after the definition with the same BB if the instruction and its operands all have more than one use. This pass is inexpensive and guarantees optimal live-range within BB.
Reviewers: davidxl, wmi, hfinkel, MatzeB, andreadb
Reviewed By: MatzeB, andreadb
Subscribers: hiraditya, jyknight, sanjoy, skatkov, gberry, jholewinski, qcolombet, javed.absar, krytarowski, atrick, spatel, RKSimon, andreadb, MatzeB, mehdi_amini, mgorny, efriedma, davide, dberlin, llvm-commits
Differential Revision: https://reviews.llvm.org/D32563
llvm-svn: 304371
2017-06-01 07:25:25 +08:00
|
|
|
; AVX-NEXT: vmulpd %ymm0, %ymm4, %ymm0
|
2016-10-15 02:20:41 +08:00
|
|
|
; AVX-NEXT: retq
|
|
|
|
%wide.vec = load <16 x double>, <16 x double>* %ptr, align 16
|
|
|
|
%strided.v0 = shufflevector <16 x double> %wide.vec, <16 x double> undef, <4 x i32> <i32 0, i32 4, i32 8, i32 12>
|
|
|
|
%strided.v3 = shufflevector <16 x double> %wide.vec, <16 x double> undef, <4 x i32> <i32 3, i32 7, i32 11, i32 15>
|
|
|
|
%mul = fmul <4 x double> %strided.v0, %strided.v3
|
|
|
|
ret <4 x double> %mul
|
|
|
|
}
|
|
|
|
|
|
|
|
define <4 x double> @load_factorf64_1(<16 x double>* %ptr) {
|
2017-06-12 05:18:58 +08:00
|
|
|
; AVX-LABEL: load_factorf64_1:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX: # %bb.0:
|
2017-06-12 05:18:58 +08:00
|
|
|
; AVX-NEXT: vmovupd (%rdi), %ymm0
|
|
|
|
; AVX-NEXT: vmovupd 32(%rdi), %ymm1
|
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[0,1],mem[0,1]
|
|
|
|
; AVX-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[0,1],mem[0,1]
|
|
|
|
; AVX-NEXT: vunpcklpd {{.*#+}} ymm0 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX-NEXT: vmulpd %ymm0, %ymm0, %ymm0
|
|
|
|
; AVX-NEXT: retq
|
2016-10-15 02:20:41 +08:00
|
|
|
%wide.vec = load <16 x double>, <16 x double>* %ptr, align 16
|
|
|
|
%strided.v0 = shufflevector <16 x double> %wide.vec, <16 x double> undef, <4 x i32> <i32 0, i32 4, i32 8, i32 12>
|
|
|
|
%strided.v3 = shufflevector <16 x double> %wide.vec, <16 x double> undef, <4 x i32> <i32 0, i32 4, i32 8, i32 12>
|
|
|
|
%mul = fmul <4 x double> %strided.v0, %strided.v3
|
|
|
|
ret <4 x double> %mul
|
|
|
|
}
|
|
|
|
|
|
|
|
define <4 x i64> @load_factori64_4(<16 x i64>* %ptr) {
|
|
|
|
; AVX1-LABEL: load_factori64_4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-09-18 11:29:54 +08:00
|
|
|
; AVX1-NEXT: vmovups (%rdi), %ymm0
|
|
|
|
; AVX1-NEXT: vmovups 32(%rdi), %ymm1
|
|
|
|
; AVX1-NEXT: vmovups 64(%rdi), %ymm2
|
|
|
|
; AVX1-NEXT: vmovups 96(%rdi), %ymm3
|
2017-06-12 05:18:58 +08:00
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm4 = ymm0[0,1],ymm2[0,1]
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm5 = ymm1[0,1],ymm3[0,1]
|
2016-10-15 02:20:41 +08:00
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX1-NEXT: vunpcklpd {{.*#+}} ymm2 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
|
|
|
; AVX1-NEXT: vunpcklpd {{.*#+}} ymm3 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX1-NEXT: vunpckhpd {{.*#+}} ymm4 = ymm4[1],ymm5[1],ymm4[3],ymm5[3]
|
|
|
|
; AVX1-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm4, %xmm1
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm2, %xmm5
|
|
|
|
; AVX1-NEXT: vpaddq %xmm3, %xmm4, %xmm4
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm3, %xmm3
|
|
|
|
; AVX1-NEXT: vpaddq %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm0, %xmm3
|
|
|
|
; AVX1-NEXT: vpaddq %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vpaddq %xmm1, %xmm5, %xmm1
|
|
|
|
; AVX1-NEXT: vpaddq %xmm0, %xmm4, %xmm0
|
|
|
|
; AVX1-NEXT: vpaddq %xmm0, %xmm2, %xmm0
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm0, %ymm0
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
2018-11-08 20:14:10 +08:00
|
|
|
; AVX2OR512-LABEL: load_factori64_4:
|
|
|
|
; AVX2OR512: # %bb.0:
|
|
|
|
; AVX2OR512-NEXT: vmovdqu (%rdi), %ymm0
|
|
|
|
; AVX2OR512-NEXT: vmovdqu 32(%rdi), %ymm1
|
|
|
|
; AVX2OR512-NEXT: vmovdqu 64(%rdi), %ymm2
|
|
|
|
; AVX2OR512-NEXT: vmovdqu 96(%rdi), %ymm3
|
|
|
|
; AVX2OR512-NEXT: vperm2i128 {{.*#+}} ymm4 = ymm0[0,1],ymm2[0,1]
|
|
|
|
; AVX2OR512-NEXT: vperm2i128 {{.*#+}} ymm5 = ymm1[0,1],ymm3[0,1]
|
|
|
|
; AVX2OR512-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX2OR512-NEXT: vperm2i128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX2OR512-NEXT: vpunpcklqdq {{.*#+}} ymm2 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
|
|
|
; AVX2OR512-NEXT: vpunpcklqdq {{.*#+}} ymm3 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX2OR512-NEXT: vpunpckhqdq {{.*#+}} ymm4 = ymm4[1],ymm5[1],ymm4[3],ymm5[3]
|
|
|
|
; AVX2OR512-NEXT: vpaddq %ymm3, %ymm4, %ymm3
|
|
|
|
; AVX2OR512-NEXT: vpunpckhqdq {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
|
|
|
; AVX2OR512-NEXT: vpaddq %ymm0, %ymm3, %ymm0
|
|
|
|
; AVX2OR512-NEXT: vpaddq %ymm0, %ymm2, %ymm0
|
|
|
|
; AVX2OR512-NEXT: retq
|
2016-10-15 02:20:41 +08:00
|
|
|
%wide.vec = load <16 x i64>, <16 x i64>* %ptr, align 16
|
|
|
|
%strided.v0 = shufflevector <16 x i64> %wide.vec, <16 x i64> undef, <4 x i32> <i32 0, i32 4, i32 8, i32 12>
|
|
|
|
%strided.v1 = shufflevector <16 x i64> %wide.vec, <16 x i64> undef, <4 x i32> <i32 1, i32 5, i32 9, i32 13>
|
|
|
|
%strided.v2 = shufflevector <16 x i64> %wide.vec, <16 x i64> undef, <4 x i32> <i32 2, i32 6, i32 10, i32 14>
|
|
|
|
%strided.v3 = shufflevector <16 x i64> %wide.vec, <16 x i64> undef, <4 x i32> <i32 3, i32 7, i32 11, i32 15>
|
|
|
|
%add1 = add <4 x i64> %strided.v0, %strided.v1
|
|
|
|
%add2 = add <4 x i64> %add1, %strided.v2
|
|
|
|
%add3 = add <4 x i64> %add2, %strided.v3
|
|
|
|
ret <4 x i64> %add3
|
|
|
|
}
|
2017-06-07 05:08:00 +08:00
|
|
|
|
|
|
|
define void @store_factorf64_4(<16 x double>* %ptr, <4 x double> %v0, <4 x double> %v1, <4 x double> %v2, <4 x double> %v3) {
|
2017-07-12 16:01:44 +08:00
|
|
|
; AVX1-LABEL: store_factorf64_4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-07-12 16:01:44 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm2, %ymm0, %ymm4
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm1, %ymm5
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX1-NEXT: vunpcklpd {{.*#+}} ymm2 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
|
|
|
; AVX1-NEXT: vunpcklpd {{.*#+}} ymm3 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX1-NEXT: vunpckhpd {{.*#+}} ymm4 = ymm4[1],ymm5[1],ymm4[3],ymm5[3]
|
|
|
|
; AVX1-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
2017-09-18 11:29:54 +08:00
|
|
|
; AVX1-NEXT: vmovups %ymm0, 96(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm3, 64(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm4, 32(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm2, (%rdi)
|
2017-07-12 16:01:44 +08:00
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-LABEL: store_factorf64_4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-NEXT: vinsertf128 $1, %xmm2, %ymm0, %ymm4
|
|
|
|
; AVX2-NEXT: vinsertf128 $1, %xmm3, %ymm1, %ymm5
|
|
|
|
; AVX2-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX2-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX2-NEXT: vunpcklpd {{.*#+}} ymm2 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
|
|
|
; AVX2-NEXT: vunpcklpd {{.*#+}} ymm3 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX2-NEXT: vunpckhpd {{.*#+}} ymm4 = ymm4[1],ymm5[1],ymm4[3],ymm5[3]
|
|
|
|
; AVX2-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
2017-09-18 11:29:54 +08:00
|
|
|
; AVX2-NEXT: vmovups %ymm0, 96(%rdi)
|
|
|
|
; AVX2-NEXT: vmovups %ymm3, 64(%rdi)
|
|
|
|
; AVX2-NEXT: vmovups %ymm4, 32(%rdi)
|
|
|
|
; AVX2-NEXT: vmovups %ymm2, (%rdi)
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-NEXT: vzeroupper
|
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-LABEL: store_factorf64_4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vinsertf128 $1, %xmm2, %ymm0, %ymm4
|
|
|
|
; AVX512-NEXT: vinsertf128 $1, %xmm3, %ymm1, %ymm5
|
|
|
|
; AVX512-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX512-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX512-NEXT: vunpcklpd {{.*#+}} ymm2 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
|
|
|
; AVX512-NEXT: vunpcklpd {{.*#+}} ymm3 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX512-NEXT: vunpckhpd {{.*#+}} ymm4 = ymm4[1],ymm5[1],ymm4[3],ymm5[3]
|
|
|
|
; AVX512-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
|
|
|
; AVX512-NEXT: vinsertf64x4 $1, %ymm4, %zmm2, %zmm1
|
|
|
|
; AVX512-NEXT: vinsertf64x4 $1, %ymm0, %zmm3, %zmm0
|
2017-09-18 11:29:54 +08:00
|
|
|
; AVX512-NEXT: vmovups %zmm0, 64(%rdi)
|
|
|
|
; AVX512-NEXT: vmovups %zmm1, (%rdi)
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vzeroupper
|
|
|
|
; AVX512-NEXT: retq
|
2017-06-07 05:08:00 +08:00
|
|
|
%s0 = shufflevector <4 x double> %v0, <4 x double> %v1, <8 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7>
|
|
|
|
%s1 = shufflevector <4 x double> %v2, <4 x double> %v3, <8 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7>
|
|
|
|
%interleaved.vec = shufflevector <8 x double> %s0, <8 x double> %s1, <16 x i32> <i32 0, i32 4, i32 8, i32 12, i32 1, i32 5, i32 9, i32 13, i32 2, i32 6, i32 10, i32 14, i32 3, i32 7, i32 11, i32 15>
|
|
|
|
store <16 x double> %interleaved.vec, <16 x double>* %ptr, align 16
|
|
|
|
ret void
|
|
|
|
}
|
|
|
|
|
|
|
|
define void @store_factori64_4(<16 x i64>* %ptr, <4 x i64> %v0, <4 x i64> %v1, <4 x i64> %v2, <4 x i64> %v3) {
|
|
|
|
; AVX1-LABEL: store_factori64_4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-06-23 06:59:04 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm2, %ymm0, %ymm4
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm1, %ymm5
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX1-NEXT: vunpcklpd {{.*#+}} ymm2 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
|
|
|
; AVX1-NEXT: vunpcklpd {{.*#+}} ymm3 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX1-NEXT: vunpckhpd {{.*#+}} ymm4 = ymm4[1],ymm5[1],ymm4[3],ymm5[3]
|
2017-06-07 05:08:00 +08:00
|
|
|
; AVX1-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
2017-09-18 11:29:54 +08:00
|
|
|
; AVX1-NEXT: vmovups %ymm0, 96(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm3, 64(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm4, 32(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm2, (%rdi)
|
2017-06-07 05:08:00 +08:00
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-LABEL: store_factori64_4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
2017-09-18 11:29:54 +08:00
|
|
|
; AVX2-NEXT: vinsertf128 $1, %xmm2, %ymm0, %ymm4
|
|
|
|
; AVX2-NEXT: vinsertf128 $1, %xmm3, %ymm1, %ymm5
|
|
|
|
; AVX2-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX2-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX2-NEXT: vunpcklpd {{.*#+}} ymm2 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
|
|
|
; AVX2-NEXT: vunpcklpd {{.*#+}} ymm3 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX2-NEXT: vunpckhpd {{.*#+}} ymm4 = ymm4[1],ymm5[1],ymm4[3],ymm5[3]
|
|
|
|
; AVX2-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
|
|
|
; AVX2-NEXT: vmovups %ymm0, 96(%rdi)
|
|
|
|
; AVX2-NEXT: vmovups %ymm3, 64(%rdi)
|
|
|
|
; AVX2-NEXT: vmovups %ymm4, 32(%rdi)
|
|
|
|
; AVX2-NEXT: vmovups %ymm2, (%rdi)
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-NEXT: vzeroupper
|
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-LABEL: store_factori64_4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
2017-09-18 11:29:54 +08:00
|
|
|
; AVX512-NEXT: vinsertf128 $1, %xmm2, %ymm0, %ymm4
|
|
|
|
; AVX512-NEXT: vinsertf128 $1, %xmm3, %ymm1, %ymm5
|
|
|
|
; AVX512-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
|
|
|
; AVX512-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm1[2,3],ymm3[2,3]
|
|
|
|
; AVX512-NEXT: vunpcklpd {{.*#+}} ymm2 = ymm4[0],ymm5[0],ymm4[2],ymm5[2]
|
|
|
|
; AVX512-NEXT: vunpcklpd {{.*#+}} ymm3 = ymm0[0],ymm1[0],ymm0[2],ymm1[2]
|
|
|
|
; AVX512-NEXT: vunpckhpd {{.*#+}} ymm4 = ymm4[1],ymm5[1],ymm4[3],ymm5[3]
|
|
|
|
; AVX512-NEXT: vunpckhpd {{.*#+}} ymm0 = ymm0[1],ymm1[1],ymm0[3],ymm1[3]
|
|
|
|
; AVX512-NEXT: vinsertf64x4 $1, %ymm4, %zmm2, %zmm1
|
|
|
|
; AVX512-NEXT: vinsertf64x4 $1, %ymm0, %zmm3, %zmm0
|
|
|
|
; AVX512-NEXT: vmovups %zmm0, 64(%rdi)
|
|
|
|
; AVX512-NEXT: vmovups %zmm1, (%rdi)
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vzeroupper
|
|
|
|
; AVX512-NEXT: retq
|
2017-06-07 05:08:00 +08:00
|
|
|
%s0 = shufflevector <4 x i64> %v0, <4 x i64> %v1, <8 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7>
|
|
|
|
%s1 = shufflevector <4 x i64> %v2, <4 x i64> %v3, <8 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7>
|
|
|
|
%interleaved.vec = shufflevector <8 x i64> %s0, <8 x i64> %s1, <16 x i32> <i32 0, i32 4, i32 8, i32 12, i32 1, i32 5, i32 9, i32 13, i32 2, i32 6, i32 10, i32 14, i32 3, i32 7, i32 11, i32 15>
|
|
|
|
store <16 x i64> %interleaved.vec, <16 x i64>* %ptr, align 16
|
|
|
|
ret void
|
|
|
|
}
|
2017-06-26 21:27:32 +08:00
|
|
|
|
|
|
|
|
|
|
|
define void @interleaved_store_vf32_i8_stride4(<32 x i8> %x1, <32 x i8> %x2, <32 x i8> %x3, <32 x i8> %x4, <128 x i8>* %p) {
|
2017-06-28 21:42:45 +08:00
|
|
|
; AVX1-LABEL: interleaved_store_vf32_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm4 = xmm0[0],xmm1[0],xmm0[1],xmm1[1],xmm0[2],xmm1[2],xmm0[3],xmm1[3],xmm0[4],xmm1[4],xmm0[5],xmm1[5],xmm0[6],xmm1[6],xmm0[7],xmm1[7]
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess.
This patch expands the support of lowerInterleavedStore to 32x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=32) and we plan to include more patterns in the future. To reach our goal of "more patterns". We include two mask creators. The first function creates shuffle's mask equivalent to unpacklo/unpackhi instructions. The other creator creates mask equivalent to a concat of two half vectors(high/low).
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 32 chars:
c0, c1, , c31
m0, m1, , m31
y0, y1, , y31
k0, k1, ., k31
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Reviewers:
dorit
Farhana
RKSimon
guyblank
DavidKreitzer
Differential Revision: https://reviews.llvm.org/D34601
llvm-svn: 309086
2017-07-26 16:10:14 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm1, %xmm5
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm0, %xmm6
|
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm7 = xmm6[0],xmm5[0],xmm6[1],xmm5[1],xmm6[2],xmm5[2],xmm6[3],xmm5[3],xmm6[4],xmm5[4],xmm6[5],xmm5[5],xmm6[6],xmm5[6],xmm6[7],xmm5[7]
|
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm8 = xmm0[8],xmm1[8],xmm0[9],xmm1[9],xmm0[10],xmm1[10],xmm0[11],xmm1[11],xmm0[12],xmm1[12],xmm0[13],xmm1[13],xmm0[14],xmm1[14],xmm0[15],xmm1[15]
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm9 = xmm6[8],xmm5[8],xmm6[9],xmm5[9],xmm6[10],xmm5[10],xmm6[11],xmm5[11],xmm6[12],xmm5[12],xmm6[13],xmm5[13],xmm6[14],xmm5[14],xmm6[15],xmm5[15]
|
2017-06-28 21:42:45 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm5 = xmm2[0],xmm3[0],xmm2[1],xmm3[1],xmm2[2],xmm3[2],xmm2[3],xmm3[3],xmm2[4],xmm3[4],xmm2[5],xmm3[5],xmm2[6],xmm3[6],xmm2[7],xmm3[7]
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess.
This patch expands the support of lowerInterleavedStore to 32x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=32) and we plan to include more patterns in the future. To reach our goal of "more patterns". We include two mask creators. The first function creates shuffle's mask equivalent to unpacklo/unpackhi instructions. The other creator creates mask equivalent to a concat of two half vectors(high/low).
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 32 chars:
c0, c1, , c31
m0, m1, , m31
y0, y1, , y31
k0, k1, ., k31
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Reviewers:
dorit
Farhana
RKSimon
guyblank
DavidKreitzer
Differential Revision: https://reviews.llvm.org/D34601
llvm-svn: 309086
2017-07-26 16:10:14 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm3, %xmm6
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm2, %xmm0
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm1 = xmm0[0],xmm6[0],xmm0[1],xmm6[1],xmm0[2],xmm6[2],xmm0[3],xmm6[3],xmm0[4],xmm6[4],xmm0[5],xmm6[5],xmm0[6],xmm6[6],xmm0[7],xmm6[7]
|
2017-06-28 21:42:45 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm2 = xmm2[8],xmm3[8],xmm2[9],xmm3[9],xmm2[10],xmm3[10],xmm2[11],xmm3[11],xmm2[12],xmm3[12],xmm2[13],xmm3[13],xmm2[14],xmm3[14],xmm2[15],xmm3[15]
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess.
This patch expands the support of lowerInterleavedStore to 32x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=32) and we plan to include more patterns in the future. To reach our goal of "more patterns". We include two mask creators. The first function creates shuffle's mask equivalent to unpacklo/unpackhi instructions. The other creator creates mask equivalent to a concat of two half vectors(high/low).
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 32 chars:
c0, c1, , c31
m0, m1, , m31
y0, y1, , y31
k0, k1, ., k31
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Reviewers:
dorit
Farhana
RKSimon
guyblank
DavidKreitzer
Differential Revision: https://reviews.llvm.org/D34601
llvm-svn: 309086
2017-07-26 16:10:14 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm0 = xmm0[8],xmm6[8],xmm0[9],xmm6[9],xmm0[10],xmm6[10],xmm0[11],xmm6[11],xmm0[12],xmm6[12],xmm0[13],xmm6[13],xmm0[14],xmm6[14],xmm0[15],xmm6[15]
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm3 = xmm7[0],xmm1[0],xmm7[1],xmm1[1],xmm7[2],xmm1[2],xmm7[3],xmm1[3]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm6 = xmm4[0],xmm5[0],xmm4[1],xmm5[1],xmm4[2],xmm5[2],xmm4[3],xmm5[3]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm6, %ymm3
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm1 = xmm7[4],xmm1[4],xmm7[5],xmm1[5],xmm7[6],xmm1[6],xmm7[7],xmm1[7]
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm0, %ymm1
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm3[2,3],ymm1[2,3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm3 = xmm4[4],xmm5[4],xmm4[5],xmm5[5],xmm4[6],xmm5[6],xmm4[7],xmm5[7]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm4 = xmm9[0],xmm0[0],xmm9[1],xmm0[1],xmm9[2],xmm0[2],xmm9[3],xmm0[3]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm5 = xmm8[0],xmm2[0],xmm8[1],xmm2[1],xmm8[2],xmm2[2],xmm8[3],xmm2[3]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm4, %ymm5, %ymm4
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm0 = xmm9[4],xmm0[4],xmm9[5],xmm0[5],xmm9[6],xmm0[6],xmm9[7],xmm0[7]
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm0, %ymm0, %ymm0
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm4[2,3],ymm0[2,3]
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm2 = xmm8[4],xmm2[4],xmm8[5],xmm2[5],xmm8[6],xmm2[6],xmm8[7],xmm2[7]
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm6, %ymm3
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm2, %ymm5, %ymm2
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vmovaps %ymm2, 32(%rdi)
|
|
|
|
; AVX1-NEXT: vmovaps %ymm3, (%rdi)
|
2017-06-28 21:42:45 +08:00
|
|
|
; AVX1-NEXT: vmovaps %ymm0, 96(%rdi)
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vmovaps %ymm1, 64(%rdi)
|
2017-06-28 21:42:45 +08:00
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-LABEL: interleaved_store_vf32_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess.
This patch expands the support of lowerInterleavedStore to 32x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=32) and we plan to include more patterns in the future. To reach our goal of "more patterns". We include two mask creators. The first function creates shuffle's mask equivalent to unpacklo/unpackhi instructions. The other creator creates mask equivalent to a concat of two half vectors(high/low).
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 32 chars:
c0, c1, , c31
m0, m1, , m31
y0, y1, , y31
k0, k1, ., k31
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Reviewers:
dorit
Farhana
RKSimon
guyblank
DavidKreitzer
Differential Revision: https://reviews.llvm.org/D34601
llvm-svn: 309086
2017-07-26 16:10:14 +08:00
|
|
|
; AVX2-NEXT: vpunpcklbw {{.*#+}} ymm4 = ymm0[0],ymm1[0],ymm0[1],ymm1[1],ymm0[2],ymm1[2],ymm0[3],ymm1[3],ymm0[4],ymm1[4],ymm0[5],ymm1[5],ymm0[6],ymm1[6],ymm0[7],ymm1[7],ymm0[16],ymm1[16],ymm0[17],ymm1[17],ymm0[18],ymm1[18],ymm0[19],ymm1[19],ymm0[20],ymm1[20],ymm0[21],ymm1[21],ymm0[22],ymm1[22],ymm0[23],ymm1[23]
|
|
|
|
; AVX2-NEXT: vpunpckhbw {{.*#+}} ymm0 = ymm0[8],ymm1[8],ymm0[9],ymm1[9],ymm0[10],ymm1[10],ymm0[11],ymm1[11],ymm0[12],ymm1[12],ymm0[13],ymm1[13],ymm0[14],ymm1[14],ymm0[15],ymm1[15],ymm0[24],ymm1[24],ymm0[25],ymm1[25],ymm0[26],ymm1[26],ymm0[27],ymm1[27],ymm0[28],ymm1[28],ymm0[29],ymm1[29],ymm0[30],ymm1[30],ymm0[31],ymm1[31]
|
|
|
|
; AVX2-NEXT: vpunpcklbw {{.*#+}} ymm1 = ymm2[0],ymm3[0],ymm2[1],ymm3[1],ymm2[2],ymm3[2],ymm2[3],ymm3[3],ymm2[4],ymm3[4],ymm2[5],ymm3[5],ymm2[6],ymm3[6],ymm2[7],ymm3[7],ymm2[16],ymm3[16],ymm2[17],ymm3[17],ymm2[18],ymm3[18],ymm2[19],ymm3[19],ymm2[20],ymm3[20],ymm2[21],ymm3[21],ymm2[22],ymm3[22],ymm2[23],ymm3[23]
|
|
|
|
; AVX2-NEXT: vpunpckhbw {{.*#+}} ymm2 = ymm2[8],ymm3[8],ymm2[9],ymm3[9],ymm2[10],ymm3[10],ymm2[11],ymm3[11],ymm2[12],ymm3[12],ymm2[13],ymm3[13],ymm2[14],ymm3[14],ymm2[15],ymm3[15],ymm2[24],ymm3[24],ymm2[25],ymm3[25],ymm2[26],ymm3[26],ymm2[27],ymm3[27],ymm2[28],ymm3[28],ymm2[29],ymm3[29],ymm2[30],ymm3[30],ymm2[31],ymm3[31]
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX2-NEXT: vpunpcklwd {{.*#+}} ymm3 = ymm4[0],ymm1[0],ymm4[1],ymm1[1],ymm4[2],ymm1[2],ymm4[3],ymm1[3],ymm4[8],ymm1[8],ymm4[9],ymm1[9],ymm4[10],ymm1[10],ymm4[11],ymm1[11]
|
|
|
|
; AVX2-NEXT: vpunpckhwd {{.*#+}} ymm1 = ymm4[4],ymm1[4],ymm4[5],ymm1[5],ymm4[6],ymm1[6],ymm4[7],ymm1[7],ymm4[12],ymm1[12],ymm4[13],ymm1[13],ymm4[14],ymm1[14],ymm4[15],ymm1[15]
|
|
|
|
; AVX2-NEXT: vpunpcklwd {{.*#+}} ymm4 = ymm0[0],ymm2[0],ymm0[1],ymm2[1],ymm0[2],ymm2[2],ymm0[3],ymm2[3],ymm0[8],ymm2[8],ymm0[9],ymm2[9],ymm0[10],ymm2[10],ymm0[11],ymm2[11]
|
|
|
|
; AVX2-NEXT: vpunpckhwd {{.*#+}} ymm0 = ymm0[4],ymm2[4],ymm0[5],ymm2[5],ymm0[6],ymm2[6],ymm0[7],ymm2[7],ymm0[12],ymm2[12],ymm0[13],ymm2[13],ymm0[14],ymm2[14],ymm0[15],ymm2[15]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm1, %ymm3, %ymm2
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm0, %ymm4, %ymm5
|
|
|
|
; AVX2-NEXT: vperm2i128 {{.*#+}} ymm1 = ymm3[2,3],ymm1[2,3]
|
|
|
|
; AVX2-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm4[2,3],ymm0[2,3]
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-NEXT: vmovdqa %ymm0, 96(%rdi)
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess.
This patch expands the support of lowerInterleavedStore to 32x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=32) and we plan to include more patterns in the future. To reach our goal of "more patterns". We include two mask creators. The first function creates shuffle's mask equivalent to unpacklo/unpackhi instructions. The other creator creates mask equivalent to a concat of two half vectors(high/low).
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 32 chars:
c0, c1, , c31
m0, m1, , m31
y0, y1, , y31
k0, k1, ., k31
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Reviewers:
dorit
Farhana
RKSimon
guyblank
DavidKreitzer
Differential Revision: https://reviews.llvm.org/D34601
llvm-svn: 309086
2017-07-26 16:10:14 +08:00
|
|
|
; AVX2-NEXT: vmovdqa %ymm1, 64(%rdi)
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX2-NEXT: vmovdqa %ymm5, 32(%rdi)
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess.
This patch expands the support of lowerInterleavedStore to 32x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=32) and we plan to include more patterns in the future. To reach our goal of "more patterns". We include two mask creators. The first function creates shuffle's mask equivalent to unpacklo/unpackhi instructions. The other creator creates mask equivalent to a concat of two half vectors(high/low).
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 32 chars:
c0, c1, , c31
m0, m1, , m31
y0, y1, , y31
k0, k1, ., k31
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Reviewers:
dorit
Farhana
RKSimon
guyblank
DavidKreitzer
Differential Revision: https://reviews.llvm.org/D34601
llvm-svn: 309086
2017-07-26 16:10:14 +08:00
|
|
|
; AVX2-NEXT: vmovdqa %ymm2, (%rdi)
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-NEXT: vzeroupper
|
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-LABEL: interleaved_store_vf32_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vpunpcklbw {{.*#+}} ymm4 = ymm0[0],ymm1[0],ymm0[1],ymm1[1],ymm0[2],ymm1[2],ymm0[3],ymm1[3],ymm0[4],ymm1[4],ymm0[5],ymm1[5],ymm0[6],ymm1[6],ymm0[7],ymm1[7],ymm0[16],ymm1[16],ymm0[17],ymm1[17],ymm0[18],ymm1[18],ymm0[19],ymm1[19],ymm0[20],ymm1[20],ymm0[21],ymm1[21],ymm0[22],ymm1[22],ymm0[23],ymm1[23]
|
|
|
|
; AVX512-NEXT: vpunpckhbw {{.*#+}} ymm0 = ymm0[8],ymm1[8],ymm0[9],ymm1[9],ymm0[10],ymm1[10],ymm0[11],ymm1[11],ymm0[12],ymm1[12],ymm0[13],ymm1[13],ymm0[14],ymm1[14],ymm0[15],ymm1[15],ymm0[24],ymm1[24],ymm0[25],ymm1[25],ymm0[26],ymm1[26],ymm0[27],ymm1[27],ymm0[28],ymm1[28],ymm0[29],ymm1[29],ymm0[30],ymm1[30],ymm0[31],ymm1[31]
|
|
|
|
; AVX512-NEXT: vpunpcklbw {{.*#+}} ymm1 = ymm2[0],ymm3[0],ymm2[1],ymm3[1],ymm2[2],ymm3[2],ymm2[3],ymm3[3],ymm2[4],ymm3[4],ymm2[5],ymm3[5],ymm2[6],ymm3[6],ymm2[7],ymm3[7],ymm2[16],ymm3[16],ymm2[17],ymm3[17],ymm2[18],ymm3[18],ymm2[19],ymm3[19],ymm2[20],ymm3[20],ymm2[21],ymm3[21],ymm2[22],ymm3[22],ymm2[23],ymm3[23]
|
|
|
|
; AVX512-NEXT: vpunpckhbw {{.*#+}} ymm2 = ymm2[8],ymm3[8],ymm2[9],ymm3[9],ymm2[10],ymm3[10],ymm2[11],ymm3[11],ymm2[12],ymm3[12],ymm2[13],ymm3[13],ymm2[14],ymm3[14],ymm2[15],ymm3[15],ymm2[24],ymm3[24],ymm2[25],ymm3[25],ymm2[26],ymm3[26],ymm2[27],ymm3[27],ymm2[28],ymm3[28],ymm2[29],ymm3[29],ymm2[30],ymm3[30],ymm2[31],ymm3[31]
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX512-NEXT: vpunpcklwd {{.*#+}} ymm3 = ymm4[0],ymm1[0],ymm4[1],ymm1[1],ymm4[2],ymm1[2],ymm4[3],ymm1[3],ymm4[8],ymm1[8],ymm4[9],ymm1[9],ymm4[10],ymm1[10],ymm4[11],ymm1[11]
|
|
|
|
; AVX512-NEXT: vpunpckhwd {{.*#+}} ymm1 = ymm4[4],ymm1[4],ymm4[5],ymm1[5],ymm4[6],ymm1[6],ymm4[7],ymm1[7],ymm4[12],ymm1[12],ymm4[13],ymm1[13],ymm4[14],ymm1[14],ymm4[15],ymm1[15]
|
|
|
|
; AVX512-NEXT: vpunpcklwd {{.*#+}} ymm4 = ymm0[0],ymm2[0],ymm0[1],ymm2[1],ymm0[2],ymm2[2],ymm0[3],ymm2[3],ymm0[8],ymm2[8],ymm0[9],ymm2[9],ymm0[10],ymm2[10],ymm0[11],ymm2[11]
|
|
|
|
; AVX512-NEXT: vpunpckhwd {{.*#+}} ymm0 = ymm0[4],ymm2[4],ymm0[5],ymm2[5],ymm0[6],ymm2[6],ymm0[7],ymm2[7],ymm0[12],ymm2[12],ymm0[13],ymm2[13],ymm0[14],ymm2[14],ymm0[15],ymm2[15]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm1, %ymm3, %ymm2
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm4, %ymm5
|
|
|
|
; AVX512-NEXT: vperm2i128 {{.*#+}} ymm1 = ymm3[2,3],ymm1[2,3]
|
|
|
|
; AVX512-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm4[2,3],ymm0[2,3]
|
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm5, %zmm2, %zmm2
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm0, %zmm1, %zmm0
|
2018-01-18 15:44:09 +08:00
|
|
|
; AVX512-NEXT: vmovdqa64 %zmm0, 64(%rdi)
|
|
|
|
; AVX512-NEXT: vmovdqa64 %zmm2, (%rdi)
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vzeroupper
|
|
|
|
; AVX512-NEXT: retq
|
2017-06-26 21:27:32 +08:00
|
|
|
%v1 = shufflevector <32 x i8> %x1, <32 x i8> %x2, <64 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 32, i32 33, i32 34, i32 35, i32 36, i32 37, i32 38, i32 39, i32 40, i32 41, i32 42, i32 43, i32 44, i32 45, i32 46, i32 47, i32 48, i32 49, i32 50, i32 51, i32 52, i32 53, i32 54, i32 55, i32 56, i32 57, i32 58, i32 59, i32 60, i32 61, i32 62, i32 63>
|
|
|
|
%v2 = shufflevector <32 x i8> %x3, <32 x i8> %x4, <64 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 32, i32 33, i32 34, i32 35, i32 36, i32 37, i32 38, i32 39, i32 40, i32 41, i32 42, i32 43, i32 44, i32 45, i32 46, i32 47, i32 48, i32 49, i32 50, i32 51, i32 52, i32 53, i32 54, i32 55, i32 56, i32 57, i32 58, i32 59, i32 60, i32 61, i32 62, i32 63>
|
|
|
|
%interleaved.vec = shufflevector <64 x i8> %v1, <64 x i8> %v2, <128 x i32> <i32 0, i32 32, i32 64, i32 96, i32 1, i32 33, i32 65, i32 97, i32 2, i32 34, i32 66, i32 98, i32 3, i32 35, i32 67, i32 99, i32 4, i32 36, i32 68, i32 100, i32 5, i32 37, i32 69, i32 101, i32 6, i32 38, i32 70, i32 102, i32 7, i32 39, i32 71, i32 103, i32 8, i32 40, i32 72, i32 104, i32 9, i32 41, i32 73, i32 105, i32 10, i32 42, i32 74, i32 106, i32 11, i32 43, i32 75, i32 107, i32 12, i32 44, i32 76, i32 108, i32 13, i32 45, i32 77, i32 109, i32 14, i32 46, i32 78, i32 110, i32 15, i32 47, i32 79, i32 111, i32 16, i32 48, i32 80, i32 112, i32 17, i32 49, i32 81, i32 113, i32 18, i32 50, i32 82, i32 114, i32 19, i32 51, i32 83, i32 115, i32 20, i32 52, i32 84, i32 116, i32 21, i32 53, i32 85, i32 117, i32 22, i32 54, i32 86, i32 118, i32 23, i32 55, i32 87, i32 119, i32 24, i32 56, i32 88, i32 120, i32 25, i32 57, i32 89, i32 121, i32 26, i32 58, i32 90, i32 122, i32 27, i32 59, i32 91, i32 123, i32 28, i32 60, i32 92, i32 124, i32 29, i32 61, i32 93, i32 125, i32 30, i32 62, i32 94, i32 126, i32 31, i32 63, i32 95, i32 127>
|
|
|
|
store <128 x i8> %interleaved.vec, <128 x i8>* %p
|
|
|
|
ret void
|
|
|
|
}
|
|
|
|
|
2017-07-25 02:29:56 +08:00
|
|
|
define void @interleaved_store_vf16_i8_stride4(<16 x i8> %x1, <16 x i8> %x2, <16 x i8> %x3, <16 x i8> %x4, <64 x i8>* %p) {
|
|
|
|
; AVX1-LABEL: interleaved_store_vf16_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF16 stride 4).
This patch expands the support of lowerInterleavedStore to 16x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=16) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 16 chars:
c0, c1, , c16
m0, m1, , m16
y0, y1, , y16
k0, k1, ., k16
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Differential Revision: https://reviews.llvm.org/D35829
llvm-svn: 310252
2017-08-07 21:22:39 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm4 = xmm0[0],xmm1[0],xmm0[1],xmm1[1],xmm0[2],xmm1[2],xmm0[3],xmm1[3],xmm0[4],xmm1[4],xmm0[5],xmm1[5],xmm0[6],xmm1[6],xmm0[7],xmm1[7]
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm0 = xmm0[8],xmm1[8],xmm0[9],xmm1[9],xmm0[10],xmm1[10],xmm0[11],xmm1[11],xmm0[12],xmm1[12],xmm0[13],xmm1[13],xmm0[14],xmm1[14],xmm0[15],xmm1[15]
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF16 stride 4).
This patch expands the support of lowerInterleavedStore to 16x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=16) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 16 chars:
c0, c1, , c16
m0, m1, , m16
y0, y1, , y16
k0, k1, ., k16
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Differential Revision: https://reviews.llvm.org/D35829
llvm-svn: 310252
2017-08-07 21:22:39 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm1 = xmm2[0],xmm3[0],xmm2[1],xmm3[1],xmm2[2],xmm3[2],xmm2[3],xmm3[3],xmm2[4],xmm3[4],xmm2[5],xmm3[5],xmm2[6],xmm3[6],xmm2[7],xmm3[7]
|
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm2 = xmm2[8],xmm3[8],xmm2[9],xmm3[9],xmm2[10],xmm3[10],xmm2[11],xmm3[11],xmm2[12],xmm3[12],xmm2[13],xmm3[13],xmm2[14],xmm3[14],xmm2[15],xmm3[15]
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm3 = xmm4[0],xmm1[0],xmm4[1],xmm1[1],xmm4[2],xmm1[2],xmm4[3],xmm1[3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm1 = xmm4[4],xmm1[4],xmm4[5],xmm1[5],xmm4[6],xmm1[6],xmm4[7],xmm1[7]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm4 = xmm0[0],xmm2[0],xmm0[1],xmm2[1],xmm0[2],xmm2[2],xmm0[3],xmm2[3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm0 = xmm0[4],xmm2[4],xmm0[5],xmm2[5],xmm0[6],xmm2[6],xmm0[7],xmm2[7]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm3, %ymm1
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm0, %ymm4, %ymm0
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX1-NEXT: vmovaps %ymm0, 32(%rdi)
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF16 stride 4).
This patch expands the support of lowerInterleavedStore to 16x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=16) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 16 chars:
c0, c1, , c16
m0, m1, , m16
y0, y1, , y16
k0, k1, ., k16
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Differential Revision: https://reviews.llvm.org/D35829
llvm-svn: 310252
2017-08-07 21:22:39 +08:00
|
|
|
; AVX1-NEXT: vmovaps %ymm1, (%rdi)
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX2-LABEL: interleaved_store_vf16_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF16 stride 4).
This patch expands the support of lowerInterleavedStore to 16x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=16) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 16 chars:
c0, c1, , c16
m0, m1, , m16
y0, y1, , y16
k0, k1, ., k16
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Differential Revision: https://reviews.llvm.org/D35829
llvm-svn: 310252
2017-08-07 21:22:39 +08:00
|
|
|
; AVX2-NEXT: vpunpcklbw {{.*#+}} xmm4 = xmm0[0],xmm1[0],xmm0[1],xmm1[1],xmm0[2],xmm1[2],xmm0[3],xmm1[3],xmm0[4],xmm1[4],xmm0[5],xmm1[5],xmm0[6],xmm1[6],xmm0[7],xmm1[7]
|
|
|
|
; AVX2-NEXT: vpunpckhbw {{.*#+}} xmm0 = xmm0[8],xmm1[8],xmm0[9],xmm1[9],xmm0[10],xmm1[10],xmm0[11],xmm1[11],xmm0[12],xmm1[12],xmm0[13],xmm1[13],xmm0[14],xmm1[14],xmm0[15],xmm1[15]
|
|
|
|
; AVX2-NEXT: vpunpcklbw {{.*#+}} xmm1 = xmm2[0],xmm3[0],xmm2[1],xmm3[1],xmm2[2],xmm3[2],xmm2[3],xmm3[3],xmm2[4],xmm3[4],xmm2[5],xmm3[5],xmm2[6],xmm3[6],xmm2[7],xmm3[7]
|
|
|
|
; AVX2-NEXT: vpunpckhbw {{.*#+}} xmm2 = xmm2[8],xmm3[8],xmm2[9],xmm3[9],xmm2[10],xmm3[10],xmm2[11],xmm3[11],xmm2[12],xmm3[12],xmm2[13],xmm3[13],xmm2[14],xmm3[14],xmm2[15],xmm3[15]
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX2-NEXT: vpunpcklwd {{.*#+}} xmm3 = xmm4[0],xmm1[0],xmm4[1],xmm1[1],xmm4[2],xmm1[2],xmm4[3],xmm1[3]
|
|
|
|
; AVX2-NEXT: vpunpckhwd {{.*#+}} xmm1 = xmm4[4],xmm1[4],xmm4[5],xmm1[5],xmm4[6],xmm1[6],xmm4[7],xmm1[7]
|
|
|
|
; AVX2-NEXT: vpunpcklwd {{.*#+}} xmm4 = xmm0[0],xmm2[0],xmm0[1],xmm2[1],xmm0[2],xmm2[2],xmm0[3],xmm2[3]
|
|
|
|
; AVX2-NEXT: vpunpckhwd {{.*#+}} xmm0 = xmm0[4],xmm2[4],xmm0[5],xmm2[5],xmm0[6],xmm2[6],xmm0[7],xmm2[7]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm1, %ymm3, %ymm1
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm0, %ymm4, %ymm0
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-NEXT: vmovdqa %ymm0, 32(%rdi)
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF16 stride 4).
This patch expands the support of lowerInterleavedStore to 16x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=16) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 16 chars:
c0, c1, , c16
m0, m1, , m16
y0, y1, , y16
k0, k1, ., k16
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Differential Revision: https://reviews.llvm.org/D35829
llvm-svn: 310252
2017-08-07 21:22:39 +08:00
|
|
|
; AVX2-NEXT: vmovdqa %ymm1, (%rdi)
|
2017-07-25 02:29:56 +08:00
|
|
|
; AVX2-NEXT: vzeroupper
|
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-LABEL: interleaved_store_vf16_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF16 stride 4).
This patch expands the support of lowerInterleavedStore to 16x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=16) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 16 chars:
c0, c1, , c16
m0, m1, , m16
y0, y1, , y16
k0, k1, ., k16
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Differential Revision: https://reviews.llvm.org/D35829
llvm-svn: 310252
2017-08-07 21:22:39 +08:00
|
|
|
; AVX512-NEXT: vpunpcklbw {{.*#+}} xmm4 = xmm0[0],xmm1[0],xmm0[1],xmm1[1],xmm0[2],xmm1[2],xmm0[3],xmm1[3],xmm0[4],xmm1[4],xmm0[5],xmm1[5],xmm0[6],xmm1[6],xmm0[7],xmm1[7]
|
|
|
|
; AVX512-NEXT: vpunpckhbw {{.*#+}} xmm0 = xmm0[8],xmm1[8],xmm0[9],xmm1[9],xmm0[10],xmm1[10],xmm0[11],xmm1[11],xmm0[12],xmm1[12],xmm0[13],xmm1[13],xmm0[14],xmm1[14],xmm0[15],xmm1[15]
|
|
|
|
; AVX512-NEXT: vpunpcklbw {{.*#+}} xmm1 = xmm2[0],xmm3[0],xmm2[1],xmm3[1],xmm2[2],xmm3[2],xmm2[3],xmm3[3],xmm2[4],xmm3[4],xmm2[5],xmm3[5],xmm2[6],xmm3[6],xmm2[7],xmm3[7]
|
|
|
|
; AVX512-NEXT: vpunpckhbw {{.*#+}} xmm2 = xmm2[8],xmm3[8],xmm2[9],xmm3[9],xmm2[10],xmm3[10],xmm2[11],xmm3[11],xmm2[12],xmm3[12],xmm2[13],xmm3[13],xmm2[14],xmm3[14],xmm2[15],xmm3[15]
|
2017-09-30 22:55:03 +08:00
|
|
|
; AVX512-NEXT: vpunpcklwd {{.*#+}} xmm3 = xmm4[0],xmm1[0],xmm4[1],xmm1[1],xmm4[2],xmm1[2],xmm4[3],xmm1[3]
|
|
|
|
; AVX512-NEXT: vpunpckhwd {{.*#+}} xmm1 = xmm4[4],xmm1[4],xmm4[5],xmm1[5],xmm4[6],xmm1[6],xmm4[7],xmm1[7]
|
|
|
|
; AVX512-NEXT: vpunpcklwd {{.*#+}} xmm4 = xmm0[0],xmm2[0],xmm0[1],xmm2[1],xmm0[2],xmm2[2],xmm0[3],xmm2[3]
|
|
|
|
; AVX512-NEXT: vpunpckhwd {{.*#+}} xmm0 = xmm0[4],xmm2[4],xmm0[5],xmm2[5],xmm0[6],xmm2[6],xmm0[7],xmm2[7]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm1, %ymm3, %ymm1
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm4, %ymm0
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF16 stride 4).
This patch expands the support of lowerInterleavedStore to 16x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2. In overall, this patch is a specific fix for the pattern (Strid=4 VF=16) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have ymm2, ymm0, ymm12 and ymm3 holding
each 16 chars:
c0, c1, , c16
m0, m1, , m16
y0, y1, , y16
k0, k1, ., k16
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Differential Revision: https://reviews.llvm.org/D35829
llvm-svn: 310252
2017-08-07 21:22:39 +08:00
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm0, %zmm1, %zmm0
|
2018-01-18 15:44:09 +08:00
|
|
|
; AVX512-NEXT: vmovdqa64 %zmm0, (%rdi)
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vzeroupper
|
|
|
|
; AVX512-NEXT: retq
|
2017-07-25 02:29:56 +08:00
|
|
|
%v1 = shufflevector <16 x i8> %x1, <16 x i8> %x2, <32 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31>
|
|
|
|
%v2 = shufflevector <16 x i8> %x3, <16 x i8> %x4, <32 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31>
|
|
|
|
%interleaved.vec = shufflevector <32 x i8> %v1, <32 x i8> %v2, <64 x i32> <i32 0,i32 16,i32 32,i32 48,i32 1,i32 17,i32 33,i32 49,i32 2,i32 18,i32 34,i32 50,i32 3,i32 19,i32 35,i32 51,i32 4,i32 20,i32 36,i32 52,i32 5,i32 21,i32 37,i32 53,i32 6,i32 22,i32 38,i32 54,i32 7,i32 23,i32 39,i32 55,i32 8,i32 24,i32 40,i32 56,i32 9,i32 25,i32 41,i32 57,i32 10,i32 26,i32 42,i32 58,i32 11,i32 27,i32 43,i32 59,i32 12,i32 28,i32 44,i32 60,i32 13,i32 29,i32 45,i32 61,i32 14,i32 30,i32 46,i32 62,i32 15,i32 31,i32 47,i32 63>
|
|
|
|
store <64 x i8> %interleaved.vec, <64 x i8>* %p
|
|
|
|
ret void
|
|
|
|
}
|
2017-07-29 06:43:34 +08:00
|
|
|
|
|
|
|
define <8 x i8> @interleaved_load_vf8_i8_stride4(<32 x i8>* %ptr) {
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX-LABEL: interleaved_load_vf8_i8_stride4:
|
|
|
|
; AVX: # %bb.0:
|
|
|
|
; AVX-NEXT: vmovdqa {{.*#+}} xmm0 = [0,1,4,5,8,9,12,13,8,9,12,13,12,13,14,15]
|
|
|
|
; AVX-NEXT: vmovdqa (%rdi), %xmm1
|
|
|
|
; AVX-NEXT: vmovdqa 16(%rdi), %xmm2
|
|
|
|
; AVX-NEXT: vpshufb %xmm0, %xmm2, %xmm3
|
|
|
|
; AVX-NEXT: vpshufb %xmm0, %xmm1, %xmm0
|
|
|
|
; AVX-NEXT: vpunpcklqdq {{.*#+}} xmm4 = xmm0[0],xmm3[0]
|
|
|
|
; AVX-NEXT: vmovdqa {{.*#+}} xmm5 = [1,1,3,3,5,5,7,7,7,7,3,3,6,6,7,7]
|
|
|
|
; AVX-NEXT: vpshufb %xmm5, %xmm3, %xmm3
|
|
|
|
; AVX-NEXT: vpshufb %xmm5, %xmm0, %xmm0
|
|
|
|
; AVX-NEXT: vpunpcklqdq {{.*#+}} xmm0 = xmm0[0],xmm3[0]
|
|
|
|
; AVX-NEXT: vpaddw %xmm0, %xmm4, %xmm0
|
|
|
|
; AVX-NEXT: vmovdqa {{.*#+}} xmm3 = [6,7,2,3,14,15,10,11,14,15,10,11,12,13,14,15]
|
|
|
|
; AVX-NEXT: vpshufb %xmm3, %xmm2, %xmm2
|
|
|
|
; AVX-NEXT: vpshuflw {{.*#+}} xmm4 = xmm2[1,0,3,2,4,5,6,7]
|
|
|
|
; AVX-NEXT: vpshufb %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX-NEXT: vpshuflw {{.*#+}} xmm3 = xmm1[1,0,3,2,4,5,6,7]
|
|
|
|
; AVX-NEXT: vpunpcklqdq {{.*#+}} xmm3 = xmm3[0],xmm4[0]
|
|
|
|
; AVX-NEXT: vmovdqa {{.*#+}} xmm4 = [3,3,1,1,7,7,5,5,1,1,5,5,0,0,1,1]
|
|
|
|
; AVX-NEXT: vpshufb %xmm4, %xmm2, %xmm2
|
|
|
|
; AVX-NEXT: vpshufb %xmm4, %xmm1, %xmm1
|
|
|
|
; AVX-NEXT: vpunpcklqdq {{.*#+}} xmm1 = xmm1[0],xmm2[0]
|
|
|
|
; AVX-NEXT: vpaddw %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX-NEXT: vpmullw %xmm1, %xmm0, %xmm0
|
|
|
|
; AVX-NEXT: retq
|
2017-07-29 06:43:34 +08:00
|
|
|
%wide.vec = load <32 x i8>, <32 x i8>* %ptr, align 16
|
|
|
|
%v1 = shufflevector <32 x i8> %wide.vec, <32 x i8> undef, <8 x i32> <i32 0, i32 4, i32 8, i32 12, i32 16, i32 20, i32 24, i32 28>
|
|
|
|
%v2 = shufflevector <32 x i8> %wide.vec, <32 x i8> undef, <8 x i32> <i32 1, i32 5, i32 9, i32 13, i32 17, i32 21, i32 25, i32 29>
|
|
|
|
%v3 = shufflevector <32 x i8> %wide.vec, <32 x i8> undef, <8 x i32> <i32 2, i32 6, i32 10, i32 14, i32 18, i32 22, i32 26, i32 30>
|
|
|
|
%v4 = shufflevector <32 x i8> %wide.vec, <32 x i8> undef, <8 x i32> <i32 3, i32 7, i32 11, i32 15, i32 19, i32 23, i32 27, i32 31>
|
|
|
|
|
|
|
|
%add1 = add <8 x i8> %v1, %v2
|
|
|
|
%add2 = add <8 x i8> %v4, %v3
|
|
|
|
%add3 = mul <8 x i8> %add1, %add2
|
|
|
|
ret <8 x i8> %add3
|
|
|
|
}
|
|
|
|
|
|
|
|
define <16 x i1> @interleaved_load_vf16_i8_stride4(<64 x i8>* %ptr) {
|
|
|
|
; AVX1-LABEL: interleaved_load_vf16_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm2 = <u,u,u,u,0,4,8,12,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX1-NEXT: vmovdqa (%rdi), %xmm0
|
|
|
|
; AVX1-NEXT: vmovdqa 16(%rdi), %xmm1
|
|
|
|
; AVX1-NEXT: vmovdqa 32(%rdi), %xmm3
|
|
|
|
; AVX1-NEXT: vmovdqa 48(%rdi), %xmm4
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm4, %xmm5
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm3, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm5[0],xmm2[1],xmm5[1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm5 = <0,4,8,12,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm5, %xmm1, %xmm6
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm5, %xmm0, %xmm5
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm5[0],xmm6[0],xmm5[1],xmm6[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm2 = xmm5[0,1,2,3],xmm2[4,5,6,7]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm5 = <u,u,u,u,1,5,9,13,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm5, %xmm4, %xmm6
|
|
|
|
; AVX1-NEXT: vpshufb %xmm5, %xmm3, %xmm5
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm5[0],xmm6[0],xmm5[1],xmm6[1]
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm6 = <1,5,9,13,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm1, %xmm7
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm0, %xmm6
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm6 = xmm6[0],xmm7[0],xmm6[1],xmm7[1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm5 = xmm6[0,1,2,3],xmm5[4,5,6,7]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpcmpeqb %xmm5, %xmm2, %xmm2
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm5 = <u,u,u,u,2,6,10,14,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm5, %xmm4, %xmm6
|
|
|
|
; AVX1-NEXT: vpshufb %xmm5, %xmm3, %xmm5
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm5[0],xmm6[0],xmm5[1],xmm6[1]
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm6 = <2,6,10,14,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm1, %xmm7
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm0, %xmm6
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm6 = xmm6[0],xmm7[0],xmm6[1],xmm7[1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm5 = xmm6[0,1,2,3],xmm5[4,5,6,7]
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm6 = <u,u,u,u,3,7,11,15,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm4, %xmm4
|
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm3, %xmm3
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm3 = xmm3[0],xmm4[0],xmm3[1],xmm4[1]
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm4 = <3,7,11,15,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm0, %xmm0
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm1[0],xmm0[1],xmm1[1]
|
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm0 = xmm0[0,1,2,3],xmm3[4,5,6,7]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vpcmpeqb %xmm0, %xmm5, %xmm0
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpxor %xmm0, %xmm2, %xmm0
|
2018-01-27 17:10:58 +08:00
|
|
|
; AVX1-NEXT: vpxor {{.*}}(%rip), %xmm0, %xmm0
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX2-LABEL: interleaved_load_vf16_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vmovdqa (%rdi), %xmm0
|
|
|
|
; AVX2-NEXT: vmovdqa 16(%rdi), %xmm1
|
|
|
|
; AVX2-NEXT: vmovdqa 32(%rdi), %xmm2
|
|
|
|
; AVX2-NEXT: vmovdqa 48(%rdi), %xmm3
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm4 = <u,u,u,u,0,4,8,12,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm4, %xmm3, %xmm5
|
|
|
|
; AVX2-NEXT: vpshufb %xmm4, %xmm2, %xmm4
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm4 = xmm4[0],xmm5[0],xmm4[1],xmm5[1]
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm5 = <0,4,8,12,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm5, %xmm1, %xmm6
|
|
|
|
; AVX2-NEXT: vpshufb %xmm5, %xmm0, %xmm5
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm5[0],xmm6[0],xmm5[1],xmm6[1]
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} xmm4 = xmm5[0,1],xmm4[2,3]
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm5 = <u,u,u,u,1,5,9,13,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm5, %xmm3, %xmm6
|
|
|
|
; AVX2-NEXT: vpshufb %xmm5, %xmm2, %xmm5
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm5[0],xmm6[0],xmm5[1],xmm6[1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm6 = <1,5,9,13,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm1, %xmm7
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm0, %xmm6
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm6 = xmm6[0],xmm7[0],xmm6[1],xmm7[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} xmm5 = xmm6[0,1],xmm5[2,3]
|
|
|
|
; AVX2-NEXT: vpcmpeqb %xmm5, %xmm4, %xmm4
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm5 = <u,u,u,u,2,6,10,14,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm5, %xmm3, %xmm6
|
|
|
|
; AVX2-NEXT: vpshufb %xmm5, %xmm2, %xmm5
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm5[0],xmm6[0],xmm5[1],xmm6[1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm6 = <2,6,10,14,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm1, %xmm7
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm0, %xmm6
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm6 = xmm6[0],xmm7[0],xmm6[1],xmm7[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} xmm5 = xmm6[0,1],xmm5[2,3]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm6 = <u,u,u,u,3,7,11,15,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm3, %xmm3
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm2, %xmm2
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm3 = <3,7,11,15,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm1, %xmm1
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm0, %xmm0
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm1[0],xmm0[1],xmm1[1]
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} xmm0 = xmm0[0,1],xmm2[2,3]
|
|
|
|
; AVX2-NEXT: vpcmpeqb %xmm0, %xmm5, %xmm0
|
|
|
|
; AVX2-NEXT: vpxor %xmm0, %xmm4, %xmm0
|
2018-01-27 17:10:58 +08:00
|
|
|
; AVX2-NEXT: vpxor {{.*}}(%rip), %xmm0, %xmm0
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-LABEL: interleaved_load_vf16_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vmovdqa (%rdi), %xmm0
|
|
|
|
; AVX512-NEXT: vmovdqa 16(%rdi), %xmm1
|
|
|
|
; AVX512-NEXT: vmovdqa 32(%rdi), %xmm2
|
|
|
|
; AVX512-NEXT: vmovdqa 48(%rdi), %xmm3
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm4 = <u,u,u,u,0,4,8,12,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm4, %xmm3, %xmm5
|
|
|
|
; AVX512-NEXT: vpshufb %xmm4, %xmm2, %xmm4
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm4 = xmm4[0],xmm5[0],xmm4[1],xmm5[1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm5 = <0,4,8,12,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm5, %xmm1, %xmm6
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm5, %xmm0, %xmm5
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm5[0],xmm6[0],xmm5[1],xmm6[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} xmm8 = xmm5[0,1],xmm4[2,3]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm5 = <u,u,u,u,1,5,9,13,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm5, %xmm3, %xmm6
|
|
|
|
; AVX512-NEXT: vpshufb %xmm5, %xmm2, %xmm5
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm5[0],xmm6[0],xmm5[1],xmm6[1]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm6 = <1,5,9,13,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm1, %xmm7
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm0, %xmm6
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm6 = xmm6[0],xmm7[0],xmm6[1],xmm7[1]
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} xmm5 = xmm6[0,1],xmm5[2,3]
|
2018-01-08 14:53:52 +08:00
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm6 = <u,u,u,u,2,6,10,14,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm3, %xmm7
|
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm2, %xmm6
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm6 = xmm6[0],xmm7[0],xmm6[1],xmm7[1]
|
2018-01-08 14:53:52 +08:00
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm7 = <2,6,10,14,u,u,u,u,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm7, %xmm1, %xmm4
|
2018-01-08 14:53:52 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm7, %xmm0, %xmm7
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm4 = xmm7[0],xmm4[0],xmm7[1],xmm4[1]
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} xmm4 = xmm4[0,1],xmm6[2,3]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm6 = <u,u,u,u,3,7,11,15,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm3, %xmm3
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm2, %xmm2
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm3 = <3,7,11,15,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm0, %xmm0
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm1[0],xmm0[1],xmm1[1]
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} xmm0 = xmm0[0,1],xmm2[2,3]
|
2018-01-08 14:53:52 +08:00
|
|
|
; AVX512-NEXT: vpcmpeqb %zmm5, %zmm8, %k0
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpcmpeqb %zmm0, %zmm4, %k1
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: kxnorw %k1, %k0, %k0
|
|
|
|
; AVX512-NEXT: vpmovm2b %k0, %zmm0
|
2018-02-01 06:04:26 +08:00
|
|
|
; AVX512-NEXT: # kill: def $xmm0 killed $xmm0 killed $zmm0
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vzeroupper
|
|
|
|
; AVX512-NEXT: retq
|
2017-07-29 06:43:34 +08:00
|
|
|
%wide.vec = load <64 x i8>, <64 x i8>* %ptr
|
|
|
|
%v1 = shufflevector <64 x i8> %wide.vec, <64 x i8> undef, <16 x i32> <i32 0, i32 4, i32 8, i32 12, i32 16, i32 20, i32 24, i32 28, i32 32, i32 36, i32 40, i32 44, i32 48, i32 52, i32 56, i32 60>
|
|
|
|
%v2 = shufflevector <64 x i8> %wide.vec, <64 x i8> undef, <16 x i32> <i32 1, i32 5, i32 9, i32 13, i32 17, i32 21, i32 25, i32 29, i32 33, i32 37, i32 41, i32 45, i32 49, i32 53, i32 57, i32 61>
|
|
|
|
%v3 = shufflevector <64 x i8> %wide.vec, <64 x i8> undef, <16 x i32> <i32 2, i32 6, i32 10, i32 14, i32 18, i32 22, i32 26, i32 30, i32 34, i32 38, i32 42, i32 46, i32 50, i32 54, i32 58, i32 62>
|
|
|
|
%v4 = shufflevector <64 x i8> %wide.vec, <64 x i8> undef, <16 x i32> <i32 3, i32 7, i32 11, i32 15, i32 19, i32 23, i32 27, i32 31, i32 35, i32 39, i32 43, i32 47, i32 51, i32 55, i32 59, i32 63>
|
|
|
|
|
|
|
|
%cmp1 = icmp eq <16 x i8> %v1, %v2
|
|
|
|
%cmp2 = icmp eq <16 x i8> %v3, %v4
|
|
|
|
%res = icmp eq <16 x i1> %cmp1, %cmp2
|
|
|
|
|
|
|
|
ret <16 x i1> %res
|
|
|
|
}
|
|
|
|
|
|
|
|
define <32 x i1> @interleaved_load_vf32_i8_stride4(<128 x i8>* %ptr) {
|
|
|
|
; AVX1-LABEL: interleaved_load_vf32_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm0 = <u,u,u,u,0,4,8,12,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX1-NEXT: vmovdqa 112(%rdi), %xmm11
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm11, %xmm1
|
|
|
|
; AVX1-NEXT: vmovdqa 96(%rdi), %xmm12
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm12, %xmm3
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm3[0],xmm1[0],xmm3[1],xmm1[1]
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm2 = <0,4,8,12,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX1-NEXT: vmovdqa 80(%rdi), %xmm14
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm14, %xmm4
|
|
|
|
; AVX1-NEXT: vmovdqa 64(%rdi), %xmm6
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm6, %xmm5
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm4 = xmm5[0],xmm4[0],xmm5[1],xmm4[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm1 = xmm4[0,1,2,3],xmm1[4,5,6,7]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm0, %ymm8
|
|
|
|
; AVX1-NEXT: vmovdqa (%rdi), %xmm13
|
|
|
|
; AVX1-NEXT: vmovdqa 16(%rdi), %xmm15
|
|
|
|
; AVX1-NEXT: vmovdqa 32(%rdi), %xmm7
|
|
|
|
; AVX1-NEXT: vmovdqa 48(%rdi), %xmm5
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm5, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm7, %xmm0
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm1[0],xmm0[1],xmm1[1]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm15, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm13, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1]
|
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm0 = xmm1[0,1,2,3],xmm0[4,5,6,7]
|
2018-01-16 06:18:45 +08:00
|
|
|
; AVX1-NEXT: vblendps {{.*#+}} ymm8 = ymm0[0,1,2,3],ymm8[4,5,6,7]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm0 = <u,u,u,u,1,5,9,13,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm11, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm12, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1]
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm2 = <1,5,9,13,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm14, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm6, %xmm4
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm3 = xmm4[0],xmm3[0],xmm4[1],xmm3[1]
|
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm1 = xmm3[0,1,2,3],xmm1[4,5,6,7]
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm0, %ymm1
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm5, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm7, %xmm0
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm3[0],xmm0[1],xmm3[1]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm15, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm13, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm0 = xmm2[0,1,2,3],xmm0[4,5,6,7]
|
2018-01-16 06:18:45 +08:00
|
|
|
; AVX1-NEXT: vblendps {{.*#+}} ymm9 = ymm0[0,1,2,3],ymm1[4,5,6,7]
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm0 = <u,u,u,u,2,6,10,14,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm11, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm12, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1]
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm2 = <2,6,10,14,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm14, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm6, %xmm4
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm3 = xmm4[0],xmm3[0],xmm4[1],xmm3[1]
|
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm1 = xmm3[0,1,2,3],xmm1[4,5,6,7]
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm0, %ymm1
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm5, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm7, %xmm0
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm3[0],xmm0[1],xmm3[1]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm15, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm13, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm0 = xmm2[0,1,2,3],xmm0[4,5,6,7]
|
2018-01-27 17:10:58 +08:00
|
|
|
; AVX1-NEXT: vblendps {{.*#+}} ymm10 = ymm0[0,1,2,3],ymm1[4,5,6,7]
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm0 = <u,u,u,u,3,7,11,15,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm11, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm12, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1]
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm2 = <3,7,11,15,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm14, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm6, %xmm4
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm3 = xmm4[0],xmm3[0],xmm4[1],xmm3[1]
|
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm1 = xmm3[0,1,2,3],xmm1[4,5,6,7]
|
2018-01-27 17:10:58 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm0, %ymm1
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm5, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm0, %xmm7, %xmm0
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm3[0],xmm0[1],xmm3[1]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm15, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm2, %xmm13, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
2018-01-27 17:10:58 +08:00
|
|
|
; AVX1-NEXT: vpblendw {{.*#+}} xmm0 = xmm2[0,1,2,3],xmm0[4,5,6,7]
|
2018-01-16 06:18:45 +08:00
|
|
|
; AVX1-NEXT: vblendps {{.*#+}} ymm0 = ymm0[0,1,2,3],ymm1[4,5,6,7]
|
2018-01-27 17:10:58 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm9, %xmm1
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm8, %xmm2
|
|
|
|
; AVX1-NEXT: vpcmpeqb %xmm1, %xmm2, %xmm1
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX1-NEXT: vpcmpeqb %xmm9, %xmm8, %xmm2
|
2018-01-27 17:10:58 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm2, %ymm1
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm0, %xmm2
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm10, %xmm3
|
|
|
|
; AVX1-NEXT: vpcmpeqb %xmm2, %xmm3, %xmm2
|
|
|
|
; AVX1-NEXT: vpcmpeqb %xmm0, %xmm10, %xmm0
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm2, %ymm0, %ymm0
|
|
|
|
; AVX1-NEXT: vxorps %ymm0, %ymm1, %ymm0
|
|
|
|
; AVX1-NEXT: vxorps {{.*}}(%rip), %ymm0, %ymm0
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX2-LABEL: interleaved_load_vf32_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vmovdqa (%rdi), %xmm9
|
|
|
|
; AVX2-NEXT: vmovdqa 16(%rdi), %xmm11
|
|
|
|
; AVX2-NEXT: vmovdqa 32(%rdi), %xmm12
|
|
|
|
; AVX2-NEXT: vmovdqa 48(%rdi), %xmm13
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm6 = <u,u,u,u,0,4,8,12,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm13, %xmm4
|
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm12, %xmm5
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm4 = xmm5[0],xmm4[0],xmm5[1],xmm4[1]
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm0 = <0,4,8,12,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm0, %xmm11, %xmm5
|
|
|
|
; AVX2-NEXT: vpshufb %xmm0, %xmm9, %xmm7
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm7[0],xmm5[0],xmm7[1],xmm5[1]
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} xmm8 = xmm5[0,1],xmm4[2,3]
|
|
|
|
; AVX2-NEXT: vmovdqa 112(%rdi), %xmm14
|
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm14, %xmm7
|
|
|
|
; AVX2-NEXT: vpermq {{.*#+}} ymm5 = mem[2,3,0,1]
|
|
|
|
; AVX2-NEXT: vextracti128 $1, %ymm5, %xmm5
|
|
|
|
; AVX2-NEXT: vpshufb %xmm6, %xmm5, %xmm6
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm6 = xmm6[0],xmm7[0],xmm6[1],xmm7[1]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm6, %ymm0, %ymm10
|
|
|
|
; AVX2-NEXT: vmovdqa 80(%rdi), %xmm6
|
|
|
|
; AVX2-NEXT: vpshufb %xmm0, %xmm6, %xmm1
|
|
|
|
; AVX2-NEXT: vpermq {{.*#+}} ymm7 = mem[2,3,0,1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vextracti128 $1, %ymm7, %xmm7
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm0, %xmm7, %xmm0
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm1[0],xmm0[1],xmm1[1]
|
2017-09-06 10:58:47 +08:00
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm0, %ymm0, %ymm0
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm0 = ymm0[0,1,2,3,4,5],ymm10[6,7]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm8 = ymm8[0,1,2,3],ymm0[4,5,6,7]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm1 = <u,u,u,u,1,5,9,13,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm1, %xmm13, %xmm0
|
|
|
|
; AVX2-NEXT: vpshufb %xmm1, %xmm12, %xmm2
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm2[0],xmm0[0],xmm2[1],xmm0[1]
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm2 = <1,5,9,13,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm2, %xmm11, %xmm3
|
|
|
|
; AVX2-NEXT: vpshufb %xmm2, %xmm9, %xmm4
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm3 = xmm4[0],xmm3[0],xmm4[1],xmm3[1]
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} xmm0 = xmm3[0,1],xmm0[2,3]
|
|
|
|
; AVX2-NEXT: vpshufb %xmm1, %xmm14, %xmm3
|
|
|
|
; AVX2-NEXT: vpshufb %xmm1, %xmm5, %xmm1
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm1[0],xmm3[0],xmm1[1],xmm3[1]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm1, %ymm0, %ymm1
|
|
|
|
; AVX2-NEXT: vpshufb %xmm2, %xmm6, %xmm3
|
|
|
|
; AVX2-NEXT: vpshufb %xmm2, %xmm7, %xmm2
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm2, %ymm0, %ymm2
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm1 = ymm2[0,1,2,3,4,5],ymm1[6,7]
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm0 = ymm0[0,1,2,3],ymm1[4,5,6,7]
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX2-NEXT: vpcmpeqb %ymm0, %ymm8, %ymm8
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm0 = <u,u,u,u,2,6,10,14,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm0, %xmm13, %xmm1
|
|
|
|
; AVX2-NEXT: vpshufb %xmm0, %xmm12, %xmm2
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1]
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm2 = <2,6,10,14,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm2, %xmm11, %xmm3
|
|
|
|
; AVX2-NEXT: vpshufb %xmm2, %xmm9, %xmm4
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm3 = xmm4[0],xmm3[0],xmm4[1],xmm3[1]
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} xmm1 = xmm3[0,1],xmm1[2,3]
|
|
|
|
; AVX2-NEXT: vpshufb %xmm0, %xmm14, %xmm3
|
|
|
|
; AVX2-NEXT: vpshufb %xmm0, %xmm5, %xmm0
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm3[0],xmm0[1],xmm3[1]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm0, %ymm0, %ymm0
|
|
|
|
; AVX2-NEXT: vpshufb %xmm2, %xmm6, %xmm3
|
|
|
|
; AVX2-NEXT: vpshufb %xmm2, %xmm7, %xmm2
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm2, %ymm0, %ymm2
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm0 = ymm2[0,1,2,3,4,5],ymm0[6,7]
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm10 = ymm1[0,1,2,3],ymm0[4,5,6,7]
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm1 = <u,u,u,u,3,7,11,15,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm1, %xmm13, %xmm2
|
|
|
|
; AVX2-NEXT: vpshufb %xmm1, %xmm12, %xmm3
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm3[0],xmm2[0],xmm3[1],xmm2[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm3 = <3,7,11,15,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm11, %xmm4
|
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm9, %xmm0
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm4[0],xmm0[1],xmm4[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} xmm0 = xmm0[0,1],xmm2[2,3]
|
|
|
|
; AVX2-NEXT: vpshufb %xmm1, %xmm14, %xmm2
|
|
|
|
; AVX2-NEXT: vpshufb %xmm1, %xmm5, %xmm1
|
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm1[0],xmm2[0],xmm1[1],xmm2[1]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm1, %ymm0, %ymm1
|
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm6, %xmm2
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm7, %xmm3
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm3[0],xmm2[0],xmm3[1],xmm2[1]
|
2017-09-06 10:58:47 +08:00
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm2, %ymm0, %ymm2
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm1 = ymm2[0,1,2,3,4,5],ymm1[6,7]
|
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm0 = ymm0[0,1,2,3],ymm1[4,5,6,7]
|
|
|
|
; AVX2-NEXT: vpcmpeqb %ymm0, %ymm10, %ymm0
|
2018-01-27 17:10:58 +08:00
|
|
|
; AVX2-NEXT: vpxor %ymm0, %ymm8, %ymm0
|
|
|
|
; AVX2-NEXT: vpxor {{.*}}(%rip), %ymm0, %ymm0
|
2017-07-29 06:43:34 +08:00
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-LABEL: interleaved_load_vf32_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
2017-10-12 08:24:52 +08:00
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm6 = <u,u,u,u,0,4,8,12,u,u,u,u,u,u,u,u>
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vmovdqa (%rdi), %xmm10
|
|
|
|
; AVX512-NEXT: vmovdqa 16(%rdi), %xmm11
|
|
|
|
; AVX512-NEXT: vmovdqa 32(%rdi), %xmm12
|
|
|
|
; AVX512-NEXT: vmovdqa 48(%rdi), %xmm13
|
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm13, %xmm4
|
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm12, %xmm5
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm4 = xmm5[0],xmm4[0],xmm5[1],xmm4[1]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm0 = <0,4,8,12,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm11, %xmm5
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm10, %xmm7
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm5 = xmm7[0],xmm5[0],xmm7[1],xmm5[1]
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} xmm8 = xmm5[0,1],xmm4[2,3]
|
|
|
|
; AVX512-NEXT: vmovdqa 112(%rdi), %xmm14
|
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm14, %xmm7
|
|
|
|
; AVX512-NEXT: vpermq {{.*#+}} ymm5 = mem[2,3,0,1]
|
|
|
|
; AVX512-NEXT: vextracti128 $1, %ymm5, %xmm5
|
|
|
|
; AVX512-NEXT: vpshufb %xmm6, %xmm5, %xmm6
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm6 = xmm6[0],xmm7[0],xmm6[1],xmm7[1]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm6, %ymm0, %ymm9
|
|
|
|
; AVX512-NEXT: vmovdqa 80(%rdi), %xmm6
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm6, %xmm1
|
|
|
|
; AVX512-NEXT: vpermq {{.*#+}} ymm7 = mem[2,3,0,1]
|
2017-09-06 10:58:47 +08:00
|
|
|
; AVX512-NEXT: vextracti128 $1, %ymm7, %xmm7
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm7, %xmm0
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm1[0],xmm0[1],xmm1[1]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm0, %ymm0
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm0 = ymm0[0,1,2,3,4,5],ymm9[6,7]
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm8 = ymm8[0,1,2,3],ymm0[4,5,6,7]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm0 = <u,u,u,u,1,5,9,13,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm13, %xmm1
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm12, %xmm2
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm2 = <1,5,9,13,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm2, %xmm11, %xmm3
|
|
|
|
; AVX512-NEXT: vpshufb %xmm2, %xmm10, %xmm4
|
2018-01-08 14:53:52 +08:00
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm3 = xmm4[0],xmm3[0],xmm4[1],xmm3[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} xmm1 = xmm3[0,1],xmm1[2,3]
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm14, %xmm3
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm5, %xmm0
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm3[0],xmm0[1],xmm3[1]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm0, %ymm0
|
|
|
|
; AVX512-NEXT: vpshufb %xmm2, %xmm6, %xmm3
|
|
|
|
; AVX512-NEXT: vpshufb %xmm2, %xmm7, %xmm2
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
2018-01-08 14:53:52 +08:00
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm2, %ymm0, %ymm2
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm0 = ymm2[0,1,2,3,4,5],ymm0[6,7]
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm9 = ymm1[0,1,2,3],ymm0[4,5,6,7]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm0 = <u,u,u,u,2,6,10,14,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm13, %xmm1
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm12, %xmm2
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm2 = <2,6,10,14,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm2, %xmm11, %xmm3
|
|
|
|
; AVX512-NEXT: vpshufb %xmm2, %xmm10, %xmm4
|
2017-09-06 10:58:47 +08:00
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm3 = xmm4[0],xmm3[0],xmm4[1],xmm3[1]
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} xmm1 = xmm3[0,1],xmm1[2,3]
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm14, %xmm3
|
|
|
|
; AVX512-NEXT: vpshufb %xmm0, %xmm5, %xmm0
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm3[0],xmm0[1],xmm3[1]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm0, %ymm0
|
|
|
|
; AVX512-NEXT: vpshufb %xmm2, %xmm6, %xmm3
|
|
|
|
; AVX512-NEXT: vpshufb %xmm2, %xmm7, %xmm2
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm2[0],xmm3[0],xmm2[1],xmm3[1]
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm2, %ymm0, %ymm2
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm0 = ymm2[0,1,2,3,4,5],ymm0[6,7]
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm15 = ymm1[0,1,2,3],ymm0[4,5,6,7]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm1 = <u,u,u,u,3,7,11,15,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm1, %xmm13, %xmm2
|
|
|
|
; AVX512-NEXT: vpshufb %xmm1, %xmm12, %xmm3
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm3[0],xmm2[0],xmm3[1],xmm2[1]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm3 = <3,7,11,15,u,u,u,u,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm11, %xmm4
|
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm10, %xmm0
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm0 = xmm0[0],xmm4[0],xmm0[1],xmm4[1]
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} xmm0 = xmm0[0,1],xmm2[2,3]
|
|
|
|
; AVX512-NEXT: vpshufb %xmm1, %xmm14, %xmm2
|
|
|
|
; AVX512-NEXT: vpshufb %xmm1, %xmm5, %xmm1
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm1 = xmm1[0],xmm2[0],xmm1[1],xmm2[1]
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm1, %ymm0, %ymm1
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm6, %xmm2
|
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm7, %xmm3
|
|
|
|
; AVX512-NEXT: vpunpckldq {{.*#+}} xmm2 = xmm3[0],xmm2[0],xmm3[1],xmm2[1]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm2, %ymm0, %ymm2
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm1 = ymm2[0,1,2,3,4,5],ymm1[6,7]
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm0 = ymm0[0,1,2,3],ymm1[4,5,6,7]
|
2018-01-08 14:53:52 +08:00
|
|
|
; AVX512-NEXT: vpcmpeqb %zmm9, %zmm8, %k0
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX512-NEXT: vpcmpeqb %zmm0, %zmm15, %k1
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: kxnord %k1, %k0, %k0
|
|
|
|
; AVX512-NEXT: vpmovm2b %k0, %zmm0
|
2018-02-01 06:04:26 +08:00
|
|
|
; AVX512-NEXT: # kill: def $ymm0 killed $ymm0 killed $zmm0
|
2017-08-01 04:58:06 +08:00
|
|
|
; AVX512-NEXT: retq
|
2017-07-29 06:43:34 +08:00
|
|
|
%wide.vec = load <128 x i8>, <128 x i8>* %ptr
|
|
|
|
%v1 = shufflevector <128 x i8> %wide.vec, <128 x i8> undef, <32 x i32> <i32 0, i32 4, i32 8, i32 12, i32 16, i32 20, i32 24, i32 28, i32 32, i32 36, i32 40, i32 44, i32 48, i32 52, i32 56, i32 60, i32 64, i32 68, i32 72, i32 76, i32 80, i32 84, i32 88, i32 92, i32 96, i32 100, i32 104, i32 108, i32 112, i32 116, i32 120, i32 124>
|
|
|
|
|
|
|
|
%v2 = shufflevector <128 x i8> %wide.vec, <128 x i8> undef, <32 x i32> <i32 1, i32 5, i32 9, i32 13, i32 17, i32 21, i32 25, i32 29, i32 33, i32 37, i32 41, i32 45, i32 49, i32 53, i32 57, i32 61, i32 65, i32 69, i32 73, i32 77, i32 81, i32 85, i32 89, i32 93, i32 97, i32 101, i32 105, i32 109, i32 113, i32 117, i32 121, i32 125>
|
|
|
|
|
|
|
|
%v3 = shufflevector <128 x i8> %wide.vec, <128 x i8> undef, <32 x i32> <i32 2, i32 6, i32 10, i32 14, i32 18, i32 22, i32 26, i32 30, i32 34, i32 38, i32 42, i32 46, i32 50, i32 54, i32 58, i32 62, i32 66, i32 70, i32 74, i32 78, i32 82, i32 86, i32 90, i32 94, i32 98, i32 102, i32 106, i32 110, i32 114, i32 118, i32 122, i32 126>
|
|
|
|
|
|
|
|
%v4 = shufflevector <128 x i8> %wide.vec, <128 x i8> undef, <32 x i32> <i32 3, i32 7, i32 11, i32 15, i32 19, i32 23, i32 27, i32 31, i32 35, i32 39, i32 43, i32 47, i32 51, i32 55, i32 59, i32 63, i32 67, i32 71, i32 75, i32 79, i32 83, i32 87, i32 91, i32 95, i32 99, i32 103, i32 107, i32 111, i32 115, i32 119, i32 123, i32 127>
|
|
|
|
|
|
|
|
%cmp1 = icmp eq <32 x i8> %v1, %v2
|
|
|
|
%cmp2 = icmp eq <32 x i8> %v3, %v4
|
|
|
|
%res = icmp eq <32 x i1> %cmp1, %cmp2
|
|
|
|
|
|
|
|
ret <32 x i1> %res
|
|
|
|
}
|
2017-07-30 19:54:57 +08:00
|
|
|
|
|
|
|
define void @interleaved_store_vf8_i8_stride4(<8 x i8> %x1, <8 x i8> %x2, <8 x i8> %x3, <8 x i8> %x4, <32 x i8>* %p) {
|
|
|
|
; AVX1-LABEL: interleaved_store_vf8_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF8 stride 4):
This patch expands the support of lowerInterleavedStore to 8x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2.
In overall, this patch is a specific fix for the pattern (Strid=4 VF=8) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have xmm2, xmm0, xmm12 and xmm3 holding
each 8 chars:
c0, c1, , c7
m0, m1, , m7
y0, y1, , y7
k0, k1, ., k7
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Reviewers
DavidKreitzer
Farhana
zvi
igorb
guyblank
RKSimon
Ayal
Differential Revision: https://reviews.llvm.org/D36058
Change-Id: I3cc5c2ca5d6318901c192a4428493b99ef424c32
llvm-svn: 314109
2017-09-25 22:50:38 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm4 = <0,2,4,6,8,10,12,14,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm0, %xmm0
|
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm0 = xmm0[0],xmm1[0],xmm0[1],xmm1[1],xmm0[2],xmm1[2],xmm0[3],xmm1[3],xmm0[4],xmm1[4],xmm0[5],xmm1[5],xmm0[6],xmm1[6],xmm0[7],xmm1[7]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm3, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm2, %xmm2
|
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1],xmm2[2],xmm1[2],xmm2[3],xmm1[3],xmm2[4],xmm1[4],xmm2[5],xmm1[5],xmm2[6],xmm1[6],xmm2[7],xmm1[7]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm2 = xmm0[0],xmm1[0],xmm0[1],xmm1[1],xmm0[2],xmm1[2],xmm0[3],xmm1[3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm0 = xmm0[4],xmm1[4],xmm0[5],xmm1[5],xmm0[6],xmm1[6],xmm0[7],xmm1[7]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm0, %ymm2, %ymm0
|
2017-07-30 19:54:57 +08:00
|
|
|
; AVX1-NEXT: vmovaps %ymm0, (%rdi)
|
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
2018-11-08 20:14:10 +08:00
|
|
|
; AVX2OR512-LABEL: interleaved_store_vf8_i8_stride4:
|
|
|
|
; AVX2OR512: # %bb.0:
|
|
|
|
; AVX2OR512-NEXT: vmovdqa {{.*#+}} xmm4 = <0,2,4,6,8,10,12,14,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX2OR512-NEXT: vpshufb %xmm4, %xmm1, %xmm1
|
|
|
|
; AVX2OR512-NEXT: vpshufb %xmm4, %xmm0, %xmm0
|
|
|
|
; AVX2OR512-NEXT: vpunpcklbw {{.*#+}} xmm0 = xmm0[0],xmm1[0],xmm0[1],xmm1[1],xmm0[2],xmm1[2],xmm0[3],xmm1[3],xmm0[4],xmm1[4],xmm0[5],xmm1[5],xmm0[6],xmm1[6],xmm0[7],xmm1[7]
|
|
|
|
; AVX2OR512-NEXT: vpshufb %xmm4, %xmm3, %xmm1
|
|
|
|
; AVX2OR512-NEXT: vpshufb %xmm4, %xmm2, %xmm2
|
|
|
|
; AVX2OR512-NEXT: vpunpcklbw {{.*#+}} xmm1 = xmm2[0],xmm1[0],xmm2[1],xmm1[1],xmm2[2],xmm1[2],xmm2[3],xmm1[3],xmm2[4],xmm1[4],xmm2[5],xmm1[5],xmm2[6],xmm1[6],xmm2[7],xmm1[7]
|
|
|
|
; AVX2OR512-NEXT: vpunpcklwd {{.*#+}} xmm2 = xmm0[0],xmm1[0],xmm0[1],xmm1[1],xmm0[2],xmm1[2],xmm0[3],xmm1[3]
|
|
|
|
; AVX2OR512-NEXT: vpunpckhwd {{.*#+}} xmm0 = xmm0[4],xmm1[4],xmm0[5],xmm1[5],xmm0[6],xmm1[6],xmm0[7],xmm1[7]
|
|
|
|
; AVX2OR512-NEXT: vinserti128 $1, %xmm0, %ymm2, %ymm0
|
|
|
|
; AVX2OR512-NEXT: vmovdqa %ymm0, (%rdi)
|
|
|
|
; AVX2OR512-NEXT: vzeroupper
|
|
|
|
; AVX2OR512-NEXT: retq
|
2017-07-30 19:54:57 +08:00
|
|
|
%v1 = shufflevector <8 x i8> %x1, <8 x i8> %x2, <16 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15>
|
[X86][LLVM]Expanding Supports lowerInterleavedStore() in X86InterleavedAccess (VF8 stride 4):
This patch expands the support of lowerInterleavedStore to 8x8i stride 4.
LLVM creates suboptimal shuffle code-gen for AVX2.
In overall, this patch is a specific fix for the pattern (Strid=4 VF=8) and we plan to include more patterns in the future.
The patch goal is to optimize the following sequence:
At the end of the computation, we have xmm2, xmm0, xmm12 and xmm3 holding
each 8 chars:
c0, c1, , c7
m0, m1, , m7
y0, y1, , y7
k0, k1, ., k7
And these need to be transposed/interleaved and stored like so:
c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3 ....
Reviewers
DavidKreitzer
Farhana
zvi
igorb
guyblank
RKSimon
Ayal
Differential Revision: https://reviews.llvm.org/D36058
Change-Id: I3cc5c2ca5d6318901c192a4428493b99ef424c32
llvm-svn: 314109
2017-09-25 22:50:38 +08:00
|
|
|
%v2 = shufflevector <8 x i8> %x3, <8 x i8> %x4, <16 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15>
|
2017-07-30 19:54:57 +08:00
|
|
|
%interleaved.vec = shufflevector <16 x i8> %v1, <16 x i8> %v2, <32 x i32> <i32 0,i32 8,i32 16,i32 24,i32 1,i32 9,i32 17,i32 25,i32 2,i32 10,i32 18,i32 26,i32 3,i32 11,i32 19,i32 27,i32 4,i32 12,i32 20,i32 28,i32 5,i32 13,i32 21,i32 29,i32 6,i32 14,i32 22,i32 30,i32 7,i32 15,i32 23,i32 31>
|
|
|
|
store <32 x i8> %interleaved.vec, <32 x i8>* %p
|
|
|
|
ret void
|
|
|
|
}
|
2017-08-21 16:56:39 +08:00
|
|
|
|
|
|
|
define <32 x i8> @interleaved_load_vf32_i8_stride3(<96 x i8>* %ptr){
|
|
|
|
; AVX1-LABEL: interleaved_load_vf32_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-09-07 22:02:13 +08:00
|
|
|
; AVX1-NEXT: vmovdqa (%rdi), %xmm0
|
|
|
|
; AVX1-NEXT: vmovdqa 16(%rdi), %xmm1
|
|
|
|
; AVX1-NEXT: vmovdqa 32(%rdi), %xmm2
|
|
|
|
; AVX1-NEXT: vmovdqa 48(%rdi), %xmm3
|
|
|
|
; AVX1-NEXT: vmovdqa 64(%rdi), %xmm4
|
|
|
|
; AVX1-NEXT: vmovdqa 80(%rdi), %xmm5
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm6 = [0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm0, %xmm0
|
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm3, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm4, %xmm4
|
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm2, %xmm2
|
|
|
|
; AVX1-NEXT: vpshufb %xmm6, %xmm5, %xmm5
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm6 = xmm5[11,12,13,14,15],xmm3[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm7 = xmm2[11,12,13,14,15],xmm0[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm3[11,12,13,14,15],xmm4[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[11,12,13,14,15],xmm1[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm0, %ymm8
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm4[11,12,13,14,15],xmm5[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm1 = xmm1[11,12,13,14,15],xmm2[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm4, %ymm1, %ymm2
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm1 = xmm7[11,12,13,14,15],xmm1[0,1,2,3,4,5,6,7,8,9,10]
|
2017-09-07 22:02:13 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm6[11,12,13,14,15],xmm4[0,1,2,3,4,5,6,7,8,9,10]
|
[X86] Move promotion of vector and/or/xor from legalization to DAG combine
Summary:
I've noticed that the bitcasts we introduce for these make computeKnownBits and computeNumSignBits not work well in LegalizeVectorOps. LegalizeVectorOps legalizes bottom up while LegalizeDAG legalizes top down. The bottom up strategy for LegalizeVectorOps means operands are legalized before their uses. So we promote and/or/xor before we legalize the operands that use them making computeKnownBits/computeNumSignBits in places like LowerTruncate suboptimal. I looked at changing LegalizeVectorOps to be top down as well, but that was more disruptive and caused some regressions. I also looked at just moving promotion of binops to LegalizeDAG, but that had a few issues one around matching AND,ANDN,OR into VSELECT because I had to create ANDN as vXi64, but the other nodes hadn't legalized yet, I didn't look too hard at fixing that.
This patch seems to produce better results overall than my other attempts. We now form broadcasts of constants better in some cases. For at least some of them the AND was being introduced in LegalizeDAG, promoted to vXi64, and the BUILD_VECTOR was also legalized there. I think we got bad ordering of that. Now the promotion is out of the legalizer so we handle this better.
In the longer term I think we really should evaluate whether we should be doing this promotion at all. It's really there to reduce isel pattern count, but I'm wondering if we'd be better served just eating the pattern cost or doing C++ based isel for vector and/or/xor in X86ISelDAGToDAG. The masked and/or/xor will definitely be difficult in patterns if a bitcast gets between the vselect and the and/or/xor node. That becomes a lot of permutations to cover.
Reviewers: RKSimon, spatel
Reviewed By: RKSimon
Subscribers: llvm-commits
Differential Revision: https://reviews.llvm.org/D53107
llvm-svn: 344487
2018-10-15 09:51:58 +08:00
|
|
|
; AVX1-NEXT: vbroadcastf128 {{.*#+}} ymm5 = [255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0,255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0]
|
|
|
|
; AVX1-NEXT: # ymm5 = mem[0,1,0,1]
|
2017-09-07 22:02:13 +08:00
|
|
|
; AVX1-NEXT: vandnps %ymm2, %ymm5, %ymm2
|
|
|
|
; AVX1-NEXT: vandps %ymm5, %ymm8, %ymm5
|
|
|
|
; AVX1-NEXT: vorps %ymm2, %ymm5, %ymm2
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm3[11,12,13,14,15],xmm6[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm3[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[11,12,13,14,15],xmm7[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9]
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm2, %xmm5
|
|
|
|
; AVX1-NEXT: vpaddb %xmm4, %xmm5, %xmm4
|
|
|
|
; AVX1-NEXT: vpaddb %xmm4, %xmm3, %xmm3
|
|
|
|
; AVX1-NEXT: vpaddb %xmm1, %xmm2, %xmm1
|
|
|
|
; AVX1-NEXT: vpaddb %xmm1, %xmm0, %xmm0
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm0, %ymm0
|
2017-08-21 16:56:39 +08:00
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
2018-11-08 20:14:10 +08:00
|
|
|
; AVX2OR512-LABEL: interleaved_load_vf32_i8_stride3:
|
|
|
|
; AVX2OR512: # %bb.0:
|
|
|
|
; AVX2OR512-NEXT: vmovdqa (%rdi), %xmm0
|
|
|
|
; AVX2OR512-NEXT: vmovdqa 16(%rdi), %xmm1
|
|
|
|
; AVX2OR512-NEXT: vmovdqa 32(%rdi), %xmm2
|
|
|
|
; AVX2OR512-NEXT: vinserti128 $1, 48(%rdi), %ymm0, %ymm0
|
|
|
|
; AVX2OR512-NEXT: vinserti128 $1, 64(%rdi), %ymm1, %ymm1
|
|
|
|
; AVX2OR512-NEXT: vinserti128 $1, 80(%rdi), %ymm2, %ymm2
|
|
|
|
; AVX2OR512-NEXT: vmovdqa {{.*#+}} ymm3 = [0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13,0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13]
|
|
|
|
; AVX2OR512-NEXT: vpshufb %ymm3, %ymm0, %ymm0
|
|
|
|
; AVX2OR512-NEXT: vpshufb %ymm3, %ymm1, %ymm1
|
|
|
|
; AVX2OR512-NEXT: vpshufb %ymm3, %ymm2, %ymm2
|
|
|
|
; AVX2OR512-NEXT: vpalignr {{.*#+}} ymm3 = ymm2[11,12,13,14,15],ymm0[0,1,2,3,4,5,6,7,8,9,10],ymm2[27,28,29,30,31],ymm0[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2OR512-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[11,12,13,14,15],ymm1[0,1,2,3,4,5,6,7,8,9,10],ymm0[27,28,29,30,31],ymm1[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2OR512-NEXT: vpalignr {{.*#+}} ymm1 = ymm1[11,12,13,14,15],ymm2[0,1,2,3,4,5,6,7,8,9,10],ymm1[27,28,29,30,31],ymm2[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2OR512-NEXT: vpalignr {{.*#+}} ymm2 = ymm3[11,12,13,14,15],ymm1[0,1,2,3,4,5,6,7,8,9,10],ymm3[27,28,29,30,31],ymm1[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2OR512-NEXT: vmovdqa {{.*#+}} ymm4 = [255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0,255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0]
|
|
|
|
; AVX2OR512-NEXT: vpblendvb %ymm4, %ymm0, %ymm1, %ymm1
|
|
|
|
; AVX2OR512-NEXT: vpaddb %ymm2, %ymm1, %ymm1
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX2OR512-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[11,12,13,14,15],ymm3[0,1,2,3,4,5,6,7,8,9,10],ymm0[27,28,29,30,31],ymm3[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2OR512-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,26,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25]
|
2018-11-08 20:14:10 +08:00
|
|
|
; AVX2OR512-NEXT: vpaddb %ymm1, %ymm0, %ymm0
|
|
|
|
; AVX2OR512-NEXT: retq
|
2017-08-21 16:56:39 +08:00
|
|
|
%wide.vec = load <96 x i8>, <96 x i8>* %ptr
|
|
|
|
%v1 = shufflevector <96 x i8> %wide.vec, <96 x i8> undef,<32 x i32> <i32 0,i32 3,i32 6,i32 9,i32 12,i32 15,i32 18,i32 21,i32 24,i32 27,i32 30,i32 33,i32 36,i32 39,i32 42,i32 45,i32 48,i32 51,i32 54,i32 57,i32 60,i32 63,i32 66,i32 69,i32 72,i32 75,i32 78,i32 81,i32 84,i32 87,i32 90,i32 93>
|
|
|
|
%v2 = shufflevector <96 x i8> %wide.vec, <96 x i8> undef,<32 x i32> <i32 1,i32 4,i32 7,i32 10,i32 13,i32 16,i32 19,i32 22,i32 25,i32 28,i32 31,i32 34,i32 37,i32 40,i32 43,i32 46,i32 49,i32 52,i32 55,i32 58,i32 61,i32 64,i32 67,i32 70,i32 73,i32 76,i32 79,i32 82,i32 85,i32 88,i32 91,i32 94>
|
|
|
|
%v3 = shufflevector <96 x i8> %wide.vec, <96 x i8> undef,<32 x i32> <i32 2,i32 5,i32 8,i32 11,i32 14,i32 17,i32 20,i32 23,i32 26,i32 29,i32 32,i32 35,i32 38,i32 41,i32 44,i32 47,i32 50,i32 53,i32 56,i32 59,i32 62,i32 65,i32 68,i32 71,i32 74,i32 77,i32 80,i32 83,i32 86,i32 89,i32 92,i32 95>
|
|
|
|
%add1 = add <32 x i8> %v1, %v2
|
|
|
|
%add2 = add <32 x i8> %v3, %add1
|
|
|
|
ret <32 x i8> %add2
|
|
|
|
}
|
|
|
|
|
|
|
|
define <16 x i8> @interleaved_load_vf16_i8_stride3(<48 x i8>* %ptr){
|
2017-09-07 22:02:13 +08:00
|
|
|
; AVX-LABEL: interleaved_load_vf16_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX: # %bb.0:
|
2017-09-07 22:02:13 +08:00
|
|
|
; AVX-NEXT: vmovdqa (%rdi), %xmm0
|
|
|
|
; AVX-NEXT: vmovdqa 16(%rdi), %xmm1
|
|
|
|
; AVX-NEXT: vmovdqa 32(%rdi), %xmm2
|
|
|
|
; AVX-NEXT: vmovdqa {{.*#+}} xmm3 = [0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13]
|
|
|
|
; AVX-NEXT: vpshufb %xmm3, %xmm0, %xmm0
|
|
|
|
; AVX-NEXT: vpshufb %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX-NEXT: vpshufb %xmm3, %xmm2, %xmm2
|
|
|
|
; AVX-NEXT: vpalignr {{.*#+}} xmm3 = xmm2[11,12,13,14,15],xmm0[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[11,12,13,14,15],xmm1[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX-NEXT: vpalignr {{.*#+}} xmm1 = xmm1[11,12,13,14,15],xmm2[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX-NEXT: vpalignr {{.*#+}} xmm2 = xmm3[11,12,13,14,15],xmm1[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX-NEXT: vmovdqa {{.*#+}} xmm4 = [255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0]
|
|
|
|
; AVX-NEXT: vpblendvb %xmm4, %xmm0, %xmm1, %xmm1
|
|
|
|
; AVX-NEXT: vpaddb %xmm2, %xmm1, %xmm1
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[11,12,13,14,15],xmm3[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9]
|
2017-09-07 22:02:13 +08:00
|
|
|
; AVX-NEXT: vpaddb %xmm1, %xmm0, %xmm0
|
|
|
|
; AVX-NEXT: retq
|
2017-08-21 16:56:39 +08:00
|
|
|
%wide.vec = load <48 x i8>, <48 x i8>* %ptr
|
|
|
|
%v1 = shufflevector <48 x i8> %wide.vec, <48 x i8> undef,<16 x i32> <i32 0,i32 3,i32 6,i32 9,i32 12,i32 15,i32 18,i32 21,i32 24,i32 27,i32 30,i32 33,i32 36,i32 39,i32 42 ,i32 45>
|
|
|
|
%v2 = shufflevector <48 x i8> %wide.vec, <48 x i8> undef,<16 x i32> <i32 1,i32 4,i32 7,i32 10,i32 13,i32 16,i32 19,i32 22,i32 25,i32 28,i32 31,i32 34,i32 37,i32 40,i32 43,i32 46>
|
|
|
|
%v3 = shufflevector <48 x i8> %wide.vec, <48 x i8> undef,<16 x i32> <i32 2,i32 5,i32 8,i32 11,i32 14,i32 17,i32 20,i32 23,i32 26,i32 29,i32 32,i32 35,i32 38,i32 41,i32 44,i32 47>
|
|
|
|
%add1 = add <16 x i8> %v1, %v2
|
|
|
|
%add2 = add <16 x i8> %v3, %add1
|
|
|
|
ret <16 x i8> %add2
|
|
|
|
}
|
|
|
|
|
|
|
|
define <8 x i8> @interleaved_load_vf8_i8_stride3(<24 x i8>* %ptr){
|
[x86] allow vector load narrowing with multi-use values
This is a long-awaited follow-up suggested in D33578. Since then, we've picked up even more
opportunities for vector narrowing from changes like D53784, so there are a lot of test diffs.
Apart from 2-3 strange cases, these are all wins.
I've structured this to be no-functional-change-intended for any target except for x86
because I couldn't tell if AArch64, ARM, and AMDGPU would improve or not. All of those
targets have existing regression tests (4, 4, 10 files respectively) that would be
affected. Also, Hexagon overrides the shouldReduceLoadWidth() hook, but doesn't show
any regression test diffs. The trade-off is deciding if an extra vector load is better
than a single wide load + extract_subvector.
For x86, this is almost always better (on paper at least) because we often can fold
loads into subsequent ops and not increase the official instruction count. There's also
some unknown -- but potentially large -- benefit from using narrower vector ops if wide
ops are implemented with multiple uops and/or frequency throttling is avoided.
Differential Revision: https://reviews.llvm.org/D54073
llvm-svn: 346595
2018-11-11 04:05:31 +08:00
|
|
|
; AVX-LABEL: interleaved_load_vf8_i8_stride3:
|
|
|
|
; AVX: # %bb.0:
|
|
|
|
; AVX-NEXT: vmovdqa (%rdi), %xmm0
|
|
|
|
; AVX-NEXT: vmovdqa 16(%rdi), %xmm1
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm2 = zero,xmm1[u],zero,xmm1[u],zero,xmm1[u],zero,xmm1[u],zero,xmm1[u],zero,xmm1[u,2,u,5,u]
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm3 = xmm0[0,u,3,u,6,u,9,u,12,u,15,u],zero,xmm0[u],zero,xmm0[u]
|
|
|
|
; AVX-NEXT: vpor %xmm2, %xmm3, %xmm2
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm3 = zero,xmm1[u],zero,xmm1[u],zero,xmm1[u],zero,xmm1[u],zero,xmm1[u,0,u,3,u,6,u]
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm4 = xmm0[1,u,4,u,7,u,10,u,13,u],zero,xmm0[u],zero,xmm0[u],zero,xmm0[u]
|
|
|
|
; AVX-NEXT: vpor %xmm3, %xmm4, %xmm3
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm1 = zero,xmm1[u],zero,xmm1[u],zero,xmm1[u],zero,xmm1[u],zero,xmm1[u,1,u,4,u,7,u]
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm0 = xmm0[2,u,5,u,8,u,11,u,14,u],zero,xmm0[u],zero,xmm0[u],zero,xmm0[u]
|
|
|
|
; AVX-NEXT: vpor %xmm1, %xmm0, %xmm0
|
|
|
|
; AVX-NEXT: vpaddw %xmm0, %xmm3, %xmm0
|
|
|
|
; AVX-NEXT: vpaddw %xmm0, %xmm2, %xmm0
|
|
|
|
; AVX-NEXT: retq
|
2017-08-21 16:56:39 +08:00
|
|
|
%wide.vec = load <24 x i8>, <24 x i8>* %ptr
|
|
|
|
%v1 = shufflevector <24 x i8> %wide.vec, <24 x i8> undef,<8 x i32> <i32 0,i32 3,i32 6,i32 9,i32 12,i32 15,i32 18,i32 21>
|
|
|
|
%v2 = shufflevector <24 x i8> %wide.vec, <24 x i8> undef,<8 x i32> <i32 1,i32 4,i32 7,i32 10,i32 13,i32 16,i32 19,i32 22>
|
|
|
|
%v3 = shufflevector <24 x i8> %wide.vec, <24 x i8> undef,<8 x i32> <i32 2,i32 5,i32 8,i32 11,i32 14,i32 17,i32 20,i32 23>
|
|
|
|
%add1 = add <8 x i8> %v1, %v2
|
|
|
|
%add2 = add <8 x i8> %v3, %add1
|
|
|
|
ret <8 x i8> %add2
|
|
|
|
}
|
2017-08-24 22:11:28 +08:00
|
|
|
|
|
|
|
define void @interleaved_store_vf8_i8_stride3(<8 x i8> %a, <8 x i8> %b, <8 x i8> %c, <24 x i8>* %p) {
|
|
|
|
; AVX-LABEL: interleaved_store_vf8_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX: # %bb.0:
|
2017-08-24 22:11:28 +08:00
|
|
|
; AVX-NEXT: vmovdqa {{.*#+}} xmm3 = <0,2,4,6,8,10,12,14,u,u,u,u,u,u,u,u>
|
|
|
|
; AVX-NEXT: vpshufb %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX-NEXT: vpshufb %xmm3, %xmm0, %xmm0
|
|
|
|
; AVX-NEXT: vpunpcklqdq {{.*#+}} xmm0 = xmm0[0],xmm1[0]
|
|
|
|
; AVX-NEXT: vpshufb %xmm3, %xmm2, %xmm1
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm2 = xmm0[0,8],zero,xmm0[1,9],zero,xmm0[2,10],zero,xmm0[3,11],zero,xmm0[4,12],zero,xmm0[5]
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm3 = zero,zero,xmm1[0],zero,zero,xmm1[1],zero,zero,xmm1[2],zero,zero,xmm1[3],zero,zero,xmm1[4],zero
|
|
|
|
; AVX-NEXT: vpor %xmm3, %xmm2, %xmm2
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm0 = xmm0[13],zero,xmm0[6,14],zero,xmm0[7,15],zero,xmm0[u,u,u,u,u,u,u,u]
|
|
|
|
; AVX-NEXT: vpshufb {{.*#+}} xmm1 = zero,xmm1[5],zero,zero,xmm1[6],zero,zero,xmm1[7,u,u,u,u,u,u,u,u]
|
|
|
|
; AVX-NEXT: vpor %xmm1, %xmm0, %xmm0
|
|
|
|
; AVX-NEXT: vmovq %xmm0, 16(%rdi)
|
|
|
|
; AVX-NEXT: vmovdqu %xmm2, (%rdi)
|
|
|
|
; AVX-NEXT: retq
|
|
|
|
%1 = shufflevector <8 x i8> %a, <8 x i8> %b, <16 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15>
|
|
|
|
%2 = shufflevector <8 x i8> %c, <8 x i8> undef, <16 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef>
|
|
|
|
%interleaved.vec = shufflevector <16 x i8> %1, <16 x i8> %2, <24 x i32> <i32 0, i32 8, i32 16, i32 1, i32 9, i32 17, i32 2, i32 10, i32 18, i32 3, i32 11, i32 19, i32 4, i32 12, i32 20, i32 5, i32 13, i32 21, i32 6, i32 14, i32 22, i32 7, i32 15, i32 23>
|
|
|
|
store <24 x i8> %interleaved.vec, <24 x i8>* %p, align 1
|
|
|
|
ret void
|
|
|
|
}
|
|
|
|
|
|
|
|
define void @interleaved_store_vf16_i8_stride3(<16 x i8> %a, <16 x i8> %b, <16 x i8> %c, <48 x i8>* %p) {
|
|
|
|
; AVX1-LABEL: interleaved_store_vf16_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm1[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm3[5,6,7,8,9,10,11,12,13,14,15],xmm0[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm2 = xmm2[5,6,7,8,9,10,11,12,13,14,15],xmm3[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm1 = xmm4[5,6,7,8,9,10,11,12,13,14,15],xmm1[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm3 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm3, %xmm0, %xmm0
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm2 = xmm2[5,6,7,8,9,10,11,12,13,14,15],xmm4[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm3, %xmm2, %xmm2
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm0, %ymm1, %ymm0
|
|
|
|
; AVX1-NEXT: vmovdqu %xmm2, 32(%rdi)
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX1-NEXT: vmovups %ymm0, (%rdi)
|
2017-08-24 22:11:28 +08:00
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX2-LABEL: interleaved_store_vf16_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} xmm3 = xmm1[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} xmm4 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} xmm0 = xmm3[5,6,7,8,9,10,11,12,13,14,15],xmm0[0,1,2,3,4]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} xmm2 = xmm2[5,6,7,8,9,10,11,12,13,14,15],xmm3[0,1,2,3,4]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} xmm1 = xmm4[5,6,7,8,9,10,11,12,13,14,15],xmm1[0,1,2,3,4]
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} xmm3 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm0, %xmm0
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} xmm2 = xmm2[5,6,7,8,9,10,11,12,13,14,15],xmm4[0,1,2,3,4]
|
|
|
|
; AVX2-NEXT: vpshufb %xmm3, %xmm2, %xmm2
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm0, %ymm1, %ymm0
|
|
|
|
; AVX2-NEXT: vmovdqu %xmm2, 32(%rdi)
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX2-NEXT: vmovdqu %ymm0, (%rdi)
|
2017-08-24 22:11:28 +08:00
|
|
|
; AVX2-NEXT: vzeroupper
|
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX512-LABEL: interleaved_store_vf16_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} xmm3 = xmm1[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} xmm4 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} xmm0 = xmm3[5,6,7,8,9,10,11,12,13,14,15],xmm0[0,1,2,3,4]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} xmm2 = xmm2[5,6,7,8,9,10,11,12,13,14,15],xmm3[0,1,2,3,4]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} xmm1 = xmm4[5,6,7,8,9,10,11,12,13,14,15],xmm1[0,1,2,3,4]
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} xmm3 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm1, %xmm1
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm0, %xmm0
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} xmm2 = xmm2[5,6,7,8,9,10,11,12,13,14,15],xmm4[0,1,2,3,4]
|
|
|
|
; AVX512-NEXT: vpshufb %xmm3, %xmm2, %xmm2
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm1, %ymm0
|
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm2, %zmm0, %zmm1
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX512-NEXT: vmovdqu %ymm0, (%rdi)
|
|
|
|
; AVX512-NEXT: vextracti32x4 $2, %zmm1, 32(%rdi)
|
2017-08-24 22:11:28 +08:00
|
|
|
; AVX512-NEXT: vzeroupper
|
|
|
|
; AVX512-NEXT: retq
|
|
|
|
%1 = shufflevector <16 x i8> %a, <16 x i8> %b, <32 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31>
|
|
|
|
%2 = shufflevector <16 x i8> %c, <16 x i8> undef, <32 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef>
|
|
|
|
%interleaved.vec = shufflevector <32 x i8> %1, <32 x i8> %2, <48 x i32> <i32 0, i32 16, i32 32, i32 1, i32 17, i32 33, i32 2, i32 18, i32 34, i32 3, i32 19, i32 35, i32 4, i32 20, i32 36, i32 5, i32 21, i32 37, i32 6, i32 22, i32 38, i32 7, i32 23, i32 39, i32 8, i32 24, i32 40, i32 9, i32 25, i32 41, i32 10, i32 26, i32 42, i32 11, i32 27, i32 43, i32 12, i32 28, i32 44, i32 13, i32 29, i32 45, i32 14, i32 30, i32 46, i32 15, i32 31, i32 47>
|
|
|
|
store <48 x i8> %interleaved.vec, <48 x i8>* %p, align 1
|
|
|
|
ret void
|
|
|
|
}
|
|
|
|
|
|
|
|
define void @interleaved_store_vf32_i8_stride3(<32 x i8> %a, <32 x i8> %b, <32 x i8> %c, <96 x i8>* %p) {
|
|
|
|
; AVX1-LABEL: interleaved_store_vf32_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm0, %xmm3
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm8 = xmm3[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm1, %xmm9
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm5 = xmm9[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm6 = xmm1[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm7 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm2, %xmm3
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm8[5,6,7,8,9,10,11,12,13,14,15],xmm3[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm10 = xmm6[5,6,7,8,9,10,11,12,13,14,15],xmm0[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm5[5,6,7,8,9,10,11,12,13,14,15],xmm8[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm2 = xmm2[5,6,7,8,9,10,11,12,13,14,15],xmm6[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm3[5,6,7,8,9,10,11,12,13,14,15],xmm5[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm5 = xmm4[5,6,7,8,9,10,11,12,13,14,15],xmm9[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm1 = xmm7[5,6,7,8,9,10,11,12,13,14,15],xmm1[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm3[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm6 = xmm10[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm3[5,6,7,8,9,10,11,12,13,14,15],xmm4[0,1,2,3,4]
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm2 = xmm2[5,6,7,8,9,10,11,12,13,14,15],xmm7[0,1,2,3,4]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm4 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm6, %xmm6
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm6, %ymm1, %ymm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm2, %xmm2
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm5, %xmm5
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm5, %ymm2, %ymm2
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm3, %xmm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm0, %xmm0
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm0, %ymm0
|
|
|
|
; AVX1-NEXT: vmovups %ymm0, 64(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm2, 32(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm1, (%rdi)
|
2017-08-24 22:11:28 +08:00
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX2-LABEL: interleaved_store_vf32_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5,22,23,24,25,26,27,28,29,30,31,16,17,18,19,20,21]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm3 = ymm1[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm4 = ymm0[5,6,7,8,9,10,11,12,13,14,15],ymm2[0,1,2,3,4],ymm0[21,22,23,24,25,26,27,28,29,30,31],ymm2[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm3[5,6,7,8,9,10,11,12,13,14,15],ymm0[0,1,2,3,4],ymm3[21,22,23,24,25,26,27,28,29,30,31],ymm0[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm2 = ymm2[5,6,7,8,9,10,11,12,13,14,15],ymm3[0,1,2,3,4],ymm2[21,22,23,24,25,26,27,28,29,30,31],ymm3[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm1 = ymm4[5,6,7,8,9,10,11,12,13,14,15],ymm1[0,1,2,3,4],ymm4[21,22,23,24,25,26,27,28,29,30,31],ymm1[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[5,6,7,8,9,10,11,12,13,14,15],ymm2[0,1,2,3,4],ymm0[21,22,23,24,25,26,27,28,29,30,31],ymm2[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm2 = ymm2[5,6,7,8,9,10,11,12,13,14,15],ymm4[0,1,2,3,4],ymm2[21,22,23,24,25,26,27,28,29,30,31],ymm4[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm0, %ymm1, %ymm3
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} ymm4 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5,0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX2-NEXT: vpshufb %ymm4, %ymm3, %ymm3
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm1 = ymm2[0,1,2,3],ymm1[4,5,6,7]
|
|
|
|
; AVX2-NEXT: vpshufb %ymm4, %ymm1, %ymm1
|
|
|
|
; AVX2-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX2-NEXT: vpshufb %ymm4, %ymm0, %ymm0
|
|
|
|
; AVX2-NEXT: vmovdqu %ymm0, 64(%rdi)
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vmovdqu %ymm1, 32(%rdi)
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX2-NEXT: vmovdqu %ymm3, (%rdi)
|
2017-08-24 22:11:28 +08:00
|
|
|
; AVX2-NEXT: vzeroupper
|
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX512-LABEL: interleaved_store_vf32_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5,22,23,24,25,26,27,28,29,30,31,16,17,18,19,20,21]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm3 = ymm1[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm4 = ymm0[5,6,7,8,9,10,11,12,13,14,15],ymm2[0,1,2,3,4],ymm0[21,22,23,24,25,26,27,28,29,30,31],ymm2[16,17,18,19,20]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm0 = ymm3[5,6,7,8,9,10,11,12,13,14,15],ymm0[0,1,2,3,4],ymm3[21,22,23,24,25,26,27,28,29,30,31],ymm0[16,17,18,19,20]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm2 = ymm2[5,6,7,8,9,10,11,12,13,14,15],ymm3[0,1,2,3,4],ymm2[21,22,23,24,25,26,27,28,29,30,31],ymm3[16,17,18,19,20]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm1 = ymm4[5,6,7,8,9,10,11,12,13,14,15],ymm1[0,1,2,3,4],ymm4[21,22,23,24,25,26,27,28,29,30,31],ymm1[16,17,18,19,20]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[5,6,7,8,9,10,11,12,13,14,15],ymm2[0,1,2,3,4],ymm0[21,22,23,24,25,26,27,28,29,30,31],ymm2[16,17,18,19,20]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm2 = ymm2[5,6,7,8,9,10,11,12,13,14,15],ymm4[0,1,2,3,4],ymm2[21,22,23,24,25,26,27,28,29,30,31],ymm4[16,17,18,19,20]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm1, %ymm3
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} ymm4 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5,0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm3, %ymm3
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm1 = ymm2[0,1,2,3],ymm1[4,5,6,7]
|
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm1, %ymm1
|
|
|
|
; AVX512-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm0[2,3],ymm2[2,3]
|
2017-09-27 02:49:11 +08:00
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm0, %ymm0
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm1, %zmm3, %zmm1
|
2017-08-24 22:11:28 +08:00
|
|
|
; AVX512-NEXT: vmovdqu %ymm0, 64(%rdi)
|
2018-01-18 15:44:09 +08:00
|
|
|
; AVX512-NEXT: vmovdqu64 %zmm1, (%rdi)
|
2017-08-24 22:11:28 +08:00
|
|
|
; AVX512-NEXT: vzeroupper
|
|
|
|
; AVX512-NEXT: retq
|
|
|
|
%1 = shufflevector <32 x i8> %a, <32 x i8> %b, <64 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 32, i32 33, i32 34, i32 35, i32 36, i32 37, i32 38, i32 39, i32 40, i32 41, i32 42, i32 43, i32 44, i32 45, i32 46, i32 47, i32 48, i32 49, i32 50, i32 51, i32 52, i32 53, i32 54, i32 55, i32 56, i32 57, i32 58, i32 59, i32 60, i32 61, i32 62, i32 63>
|
|
|
|
%2 = shufflevector <32 x i8> %c, <32 x i8> undef, <64 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef>
|
|
|
|
%interleaved.vec = shufflevector <64 x i8> %1, <64 x i8> %2, <96 x i32> <i32 0, i32 32, i32 64, i32 1, i32 33, i32 65, i32 2, i32 34, i32 66, i32 3, i32 35, i32 67, i32 4, i32 36, i32 68, i32 5, i32 37, i32 69, i32 6, i32 38, i32 70, i32 7, i32 39, i32 71, i32 8, i32 40, i32 72, i32 9, i32 41, i32 73, i32 10, i32 42, i32 74, i32 11, i32 43, i32 75, i32 12, i32 44, i32 76, i32 13, i32 45, i32 77, i32 14, i32 46, i32 78, i32 15, i32 47, i32 79, i32 16, i32 48, i32 80, i32 17, i32 49, i32 81, i32 18, i32 50, i32 82, i32 19, i32 51, i32 83, i32 20, i32 52, i32 84, i32 21, i32 53, i32 85, i32 22, i32 54, i32 86, i32 23, i32 55, i32 87, i32 24, i32 56, i32 88, i32 25, i32 57, i32 89, i32 26, i32 58, i32 90, i32 27, i32 59, i32 91, i32 28, i32 60, i32 92, i32 29, i32 61, i32 93, i32 30, i32 62, i32 94, i32 31, i32 63, i32 95>
|
|
|
|
store <96 x i8> %interleaved.vec, <96 x i8>* %p, align 1
|
|
|
|
ret void
|
|
|
|
}
|
2017-09-11 18:57:15 +08:00
|
|
|
|
|
|
|
define void @interleaved_store_vf64_i8_stride3(<64 x i8> %a, <64 x i8> %b, <64 x i8> %c, <192 x i8>* %p) {
|
|
|
|
; AVX1-LABEL: interleaved_store_vf64_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm1, %xmm6
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm8 = xmm6[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm9 = xmm1[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm0, %xmm7
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm12 = xmm7[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm3, %xmm10
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm13 = xmm10[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm15 = xmm3[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm2, %xmm11
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm7 = xmm11[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm1 = xmm2[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm14 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm4[0,1,2,3,4]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm4, %xmm6
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm1[5,6,7,8,9,10,11,12,13,14,15],xmm0[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vmovdqa %xmm0, {{[-0-9]+}}(%r{{[sb]}}p) # 16-byte Spill
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm1 = xmm4[5,6,7,8,9,10,11,12,13,14,15],xmm1[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm12[5,6,7,8,9,10,11,12,13,14,15],xmm6[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm12 = xmm7[5,6,7,8,9,10,11,12,13,14,15],xmm12[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm6 = xmm6[5,6,7,8,9,10,11,12,13,14,15],xmm7[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm7 = xmm9[5,6,7,8,9,10,11,12,13,14,15],xmm5[0,1,2,3,4]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm9 = xmm15[5,6,7,8,9,10,11,12,13,14,15],xmm9[0,1,2,3,4]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm15 = xmm5[5,6,7,8,9,10,11,12,13,14,15],xmm15[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm5, %xmm5
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm8[5,6,7,8,9,10,11,12,13,14,15],xmm5[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm8 = xmm13[5,6,7,8,9,10,11,12,13,14,15],xmm8[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm5 = xmm5[5,6,7,8,9,10,11,12,13,14,15],xmm13[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm10 = xmm0[5,6,7,8,9,10,11,12,13,14,15],xmm10[0,1,2,3,4]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm8 = xmm8[5,6,7,8,9,10,11,12,13,14,15],xmm5[0,1,2,3,4]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm13 = xmm5[5,6,7,8,9,10,11,12,13,14,15],xmm0[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm7[5,6,7,8,9,10,11,12,13,14,15],xmm3[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm5 = xmm9[5,6,7,8,9,10,11,12,13,14,15],xmm15[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm9 = xmm15[5,6,7,8,9,10,11,12,13,14,15],xmm7[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm4[5,6,7,8,9,10,11,12,13,14,15],xmm11[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm11 = xmm12[5,6,7,8,9,10,11,12,13,14,15],xmm6[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm6[5,6,7,8,9,10,11,12,13,14,15],xmm4[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm2 = xmm14[5,6,7,8,9,10,11,12,13,14,15],xmm2[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr $5, {{[-0-9]+}}(%r{{[sb]}}p), %xmm1, %xmm6 # 16-byte Folded Reload
|
|
|
|
; AVX1-NEXT: # xmm6 = mem[5,6,7,8,9,10,11,12,13,14,15],xmm1[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm1 = xmm1[5,6,7,8,9,10,11,12,13,14,15],xmm14[0,1,2,3,4]
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm7 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm6, %xmm6
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm2, %xmm2
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm6, %ymm2, %ymm2
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm0, %xmm0
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm0, %ymm1, %ymm0
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm4, %xmm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm11, %xmm4
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm4, %ymm1
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm5, %xmm4
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm3, %xmm3
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm4, %ymm3, %ymm3
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm9, %xmm4
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm10, %xmm5
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm5, %ymm4, %ymm4
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm13, %xmm5
|
|
|
|
; AVX1-NEXT: vpshufb %xmm7, %xmm8, %xmm6
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm5, %ymm6, %ymm5
|
|
|
|
; AVX1-NEXT: vmovups %ymm5, 160(%rdi)
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vmovups %ymm4, 128(%rdi)
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vmovups %ymm3, 96(%rdi)
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vmovups %ymm1, 64(%rdi)
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX1-NEXT: vmovups %ymm0, 32(%rdi)
|
|
|
|
; AVX1-NEXT: vmovups %ymm2, (%rdi)
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX2-LABEL: interleaved_store_vf64_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm1 = ymm1[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5,22,23,24,25,26,27,28,29,30,31,16,17,18,19,20,21]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5,22,23,24,25,26,27,28,29,30,31,16,17,18,19,20,21]
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm6 = ymm3[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm7 = ymm2[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm8 = ymm0[5,6,7,8,9,10,11,12,13,14,15],ymm4[0,1,2,3,4],ymm0[21,22,23,24,25,26,27,28,29,30,31],ymm4[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm9 = ymm1[5,6,7,8,9,10,11,12,13,14,15],ymm5[0,1,2,3,4],ymm1[21,22,23,24,25,26,27,28,29,30,31],ymm5[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm7[5,6,7,8,9,10,11,12,13,14,15],ymm0[0,1,2,3,4],ymm7[21,22,23,24,25,26,27,28,29,30,31],ymm0[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm1 = ymm6[5,6,7,8,9,10,11,12,13,14,15],ymm1[0,1,2,3,4],ymm6[21,22,23,24,25,26,27,28,29,30,31],ymm1[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm4 = ymm4[5,6,7,8,9,10,11,12,13,14,15],ymm7[0,1,2,3,4],ymm4[21,22,23,24,25,26,27,28,29,30,31],ymm7[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm5 = ymm5[5,6,7,8,9,10,11,12,13,14,15],ymm6[0,1,2,3,4],ymm5[21,22,23,24,25,26,27,28,29,30,31],ymm6[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm3 = ymm9[5,6,7,8,9,10,11,12,13,14,15],ymm3[0,1,2,3,4],ymm9[21,22,23,24,25,26,27,28,29,30,31],ymm3[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm2 = ymm8[5,6,7,8,9,10,11,12,13,14,15],ymm2[0,1,2,3,4],ymm8[21,22,23,24,25,26,27,28,29,30,31],ymm2[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm1 = ymm1[5,6,7,8,9,10,11,12,13,14,15],ymm5[0,1,2,3,4],ymm1[21,22,23,24,25,26,27,28,29,30,31],ymm5[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[5,6,7,8,9,10,11,12,13,14,15],ymm4[0,1,2,3,4],ymm0[21,22,23,24,25,26,27,28,29,30,31],ymm4[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm5 = ymm5[5,6,7,8,9,10,11,12,13,14,15],ymm9[0,1,2,3,4],ymm5[21,22,23,24,25,26,27,28,29,30,31],ymm9[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm4 = ymm4[5,6,7,8,9,10,11,12,13,14,15],ymm8[0,1,2,3,4],ymm4[21,22,23,24,25,26,27,28,29,30,31],ymm8[16,17,18,19,20]
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm0, %ymm2, %ymm6
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} ymm7 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5,0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX2-NEXT: vpshufb %ymm7, %ymm6, %ymm6
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm2 = ymm4[0,1,2,3],ymm2[4,5,6,7]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vpshufb %ymm7, %ymm2, %ymm2
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm0[2,3],ymm4[2,3]
|
|
|
|
; AVX2-NEXT: vpshufb %ymm7, %ymm0, %ymm0
|
|
|
|
; AVX2-NEXT: vinserti128 $1, %xmm1, %ymm3, %ymm4
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX2-NEXT: vpshufb %ymm7, %ymm4, %ymm4
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vpblendd {{.*#+}} ymm3 = ymm5[0,1,2,3],ymm3[4,5,6,7]
|
|
|
|
; AVX2-NEXT: vpshufb %ymm7, %ymm3, %ymm3
|
|
|
|
; AVX2-NEXT: vperm2i128 {{.*#+}} ymm1 = ymm1[2,3],ymm5[2,3]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vpshufb %ymm7, %ymm1, %ymm1
|
|
|
|
; AVX2-NEXT: vmovdqu %ymm1, 160(%rdi)
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vmovdqu %ymm3, 128(%rdi)
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vmovdqu %ymm0, 64(%rdi)
|
2018-08-09 20:30:02 +08:00
|
|
|
; AVX2-NEXT: vmovdqu %ymm2, 32(%rdi)
|
|
|
|
; AVX2-NEXT: vmovdqu %ymm4, 96(%rdi)
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vmovdqu %ymm6, (%rdi)
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX2-NEXT: vzeroupper
|
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX512-LABEL: interleaved_store_vf64_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm0 = zmm0[6,7,8,9,10,11,12,13,14,15,0,1,2,3,4,5,22,23,24,25,26,27,28,29,30,31,16,17,18,19,20,21,38,39,40,41,42,43,44,45,46,47,32,33,34,35,36,37,54,55,56,57,58,59,60,61,62,63,48,49,50,51,52,53]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm1 = zmm1[11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,10,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25,26,43,44,45,46,47,32,33,34,35,36,37,38,39,40,41,42,59,60,61,62,63,48,49,50,51,52,53,54,55,56,57,58]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm3 = zmm0[5,6,7,8,9,10,11,12,13,14,15],zmm2[0,1,2,3,4],zmm0[21,22,23,24,25,26,27,28,29,30,31],zmm2[16,17,18,19,20],zmm0[37,38,39,40,41,42,43,44,45,46,47],zmm2[32,33,34,35,36],zmm0[53,54,55,56,57,58,59,60,61,62,63],zmm2[48,49,50,51,52]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm0 = zmm1[5,6,7,8,9,10,11,12,13,14,15],zmm0[0,1,2,3,4],zmm1[21,22,23,24,25,26,27,28,29,30,31],zmm0[16,17,18,19,20],zmm1[37,38,39,40,41,42,43,44,45,46,47],zmm0[32,33,34,35,36],zmm1[53,54,55,56,57,58,59,60,61,62,63],zmm0[48,49,50,51,52]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm1 = zmm2[5,6,7,8,9,10,11,12,13,14,15],zmm1[0,1,2,3,4],zmm2[21,22,23,24,25,26,27,28,29,30,31],zmm1[16,17,18,19,20],zmm2[37,38,39,40,41,42,43,44,45,46,47],zmm1[32,33,34,35,36],zmm2[53,54,55,56,57,58,59,60,61,62,63],zmm1[48,49,50,51,52]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm2 = zmm3[5,6,7,8,9,10,11,12,13,14,15],zmm0[0,1,2,3,4],zmm3[21,22,23,24,25,26,27,28,29,30,31],zmm0[16,17,18,19,20],zmm3[37,38,39,40,41,42,43,44,45,46,47],zmm0[32,33,34,35,36],zmm3[53,54,55,56,57,58,59,60,61,62,63],zmm0[48,49,50,51,52]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm0 = zmm0[5,6,7,8,9,10,11,12,13,14,15],zmm1[0,1,2,3,4],zmm0[21,22,23,24,25,26,27,28,29,30,31],zmm1[16,17,18,19,20],zmm0[37,38,39,40,41,42,43,44,45,46,47],zmm1[32,33,34,35,36],zmm0[53,54,55,56,57,58,59,60,61,62,63],zmm1[48,49,50,51,52]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm1 = zmm1[5,6,7,8,9,10,11,12,13,14,15],zmm3[0,1,2,3,4],zmm1[21,22,23,24,25,26,27,28,29,30,31],zmm3[16,17,18,19,20],zmm1[37,38,39,40,41,42,43,44,45,46,47],zmm3[32,33,34,35,36],zmm1[53,54,55,56,57,58,59,60,61,62,63],zmm3[48,49,50,51,52]
|
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm2, %ymm3
|
|
|
|
; AVX512-NEXT: vmovdqa {{.*#+}} ymm4 = [0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5,0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5]
|
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm3, %ymm3
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm5 = ymm1[0,1,2,3],ymm2[4,5,6,7]
|
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm5, %ymm5
|
|
|
|
; AVX512-NEXT: vperm2i128 {{.*#+}} ymm6 = ymm0[2,3],ymm1[2,3]
|
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm6, %ymm6
|
|
|
|
; AVX512-NEXT: vextracti64x4 $1, %zmm2, %ymm2
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX512-NEXT: vextracti64x4 $1, %zmm0, %ymm0
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm2, %ymm7
|
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm7, %ymm7
|
|
|
|
; AVX512-NEXT: vextracti64x4 $1, %zmm1, %ymm1
|
|
|
|
; AVX512-NEXT: vpblendd {{.*#+}} ymm2 = ymm1[0,1,2,3],ymm2[4,5,6,7]
|
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm2, %ymm2
|
|
|
|
; AVX512-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm0[2,3],ymm1[2,3]
|
|
|
|
; AVX512-NEXT: vpshufb %ymm4, %ymm0, %ymm0
|
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm5, %zmm3, %zmm1
|
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm7, %zmm6, %zmm3
|
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm0, %zmm2, %zmm0
|
2018-01-18 15:44:09 +08:00
|
|
|
; AVX512-NEXT: vmovdqu64 %zmm0, 128(%rdi)
|
|
|
|
; AVX512-NEXT: vmovdqu64 %zmm3, 64(%rdi)
|
|
|
|
; AVX512-NEXT: vmovdqu64 %zmm1, (%rdi)
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX512-NEXT: vzeroupper
|
|
|
|
; AVX512-NEXT: retq
|
|
|
|
%1 = shufflevector <64 x i8> %a, <64 x i8> %b, <128 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 32, i32 33, i32 34, i32 35, i32 36, i32 37, i32 38, i32 39, i32 40, i32 41, i32 42, i32 43, i32 44, i32 45, i32 46, i32 47, i32 48, i32 49, i32 50, i32 51, i32 52, i32 53, i32 54, i32 55, i32 56, i32 57, i32 58, i32 59, i32 60, i32 61, i32 62, i32 63, i32 64, i32 65, i32 66, i32 67, i32 68, i32 69, i32 70, i32 71, i32 72, i32 73, i32 74, i32 75, i32 76, i32 77, i32 78, i32 79, i32 80, i32 81, i32 82, i32 83, i32 84, i32 85, i32 86, i32 87, i32 88, i32 89, i32 90, i32 91, i32 92, i32 93, i32 94, i32 95, i32 96, i32 97, i32 98, i32 99, i32 100, i32 101, i32 102, i32 103, i32 104, i32 105, i32 106, i32 107, i32 108, i32 109, i32 110, i32 111, i32 112, i32 113, i32 114, i32 115, i32 116, i32 117, i32 118, i32 119, i32 120, i32 121, i32 122, i32 123, i32 124, i32 125, i32 126, i32 127>
|
|
|
|
%2 = shufflevector <64 x i8> %c, <64 x i8> undef, <128 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 32, i32 33, i32 34, i32 35, i32 36, i32 37, i32 38, i32 39, i32 40, i32 41, i32 42, i32 43, i32 44, i32 45, i32 46, i32 47, i32 48, i32 49, i32 50, i32 51, i32 52, i32 53, i32 54, i32 55, i32 56, i32 57, i32 58, i32 59, i32 60, i32 61, i32 62, i32 63, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef, i32 undef>
|
|
|
|
%3 = shufflevector <128 x i8> %1, <128 x i8> %2, <192 x i32> <i32 0, i32 64, i32 128, i32 1, i32 65, i32 129, i32 2, i32 66, i32 130, i32 3, i32 67, i32 131, i32 4, i32 68, i32 132, i32 5, i32 69, i32 133, i32 6, i32 70, i32 134, i32 7, i32 71, i32 135, i32 8, i32 72, i32 136, i32 9, i32 73, i32 137, i32 10, i32 74, i32 138, i32 11, i32 75, i32 139, i32 12, i32 76, i32 140, i32 13, i32 77, i32 141, i32 14, i32 78, i32 142, i32 15, i32 79, i32 143, i32 16, i32 80, i32 144, i32 17, i32 81, i32 145, i32 18, i32 82, i32 146, i32 19, i32 83, i32 147, i32 20, i32 84, i32 148, i32 21, i32 85, i32 149, i32 22, i32 86, i32 150, i32 23, i32 87, i32 151, i32 24, i32 88, i32 152, i32 25, i32 89, i32 153, i32 26, i32 90, i32 154, i32 27, i32 91, i32 155, i32 28, i32 92, i32 156, i32 29, i32 93, i32 157, i32 30, i32 94, i32 158, i32 31, i32 95, i32 159, i32 32, i32 96, i32 160, i32 33, i32 97, i32 161, i32 34, i32 98, i32 162, i32 35, i32 99, i32 163, i32 36, i32 100, i32 164, i32 37, i32 101, i32 165, i32 38, i32 102, i32 166, i32 39, i32 103, i32 167, i32 40, i32 104, i32 168, i32 41, i32 105, i32 169, i32 42, i32 106, i32 170, i32 43, i32 107, i32 171, i32 44, i32 108, i32 172, i32 45, i32 109, i32 173, i32 46, i32 110, i32 174, i32 47, i32 111, i32 175, i32 48, i32 112, i32 176, i32 49, i32 113, i32 177, i32 50, i32 114, i32 178, i32 51, i32 115, i32 179, i32 52, i32 116, i32 180, i32 53, i32 117, i32 181, i32 54, i32 118, i32 182, i32 55, i32 119, i32 183, i32 56, i32 120, i32 184, i32 57, i32 121, i32 185, i32 58, i32 122, i32 186, i32 59, i32 123, i32 187, i32 60, i32 124, i32 188, i32 61, i32 125, i32 189, i32 62, i32 126, i32 190, i32 63, i32 127, i32 191>
|
|
|
|
store <192 x i8> %3, <192 x i8>* %p, align 1
|
|
|
|
ret void
|
|
|
|
}
|
|
|
|
|
|
|
|
define <64 x i8> @interleaved_load_vf64_i8_stride3(<192 x i8>* %ptr){
|
|
|
|
; AVX1-LABEL: interleaved_load_vf64_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vmovdqu (%rdi), %xmm11
|
|
|
|
; AVX1-NEXT: vmovdqu 16(%rdi), %xmm10
|
|
|
|
; AVX1-NEXT: vmovdqu 32(%rdi), %xmm8
|
|
|
|
; AVX1-NEXT: vmovdqu 48(%rdi), %xmm3
|
|
|
|
; AVX1-NEXT: vmovdqu 64(%rdi), %xmm12
|
|
|
|
; AVX1-NEXT: vmovdqu 80(%rdi), %xmm9
|
|
|
|
; AVX1-NEXT: vmovdqu 96(%rdi), %xmm6
|
|
|
|
; AVX1-NEXT: vmovdqu 112(%rdi), %xmm14
|
|
|
|
; AVX1-NEXT: vmovdqu 128(%rdi), %xmm13
|
|
|
|
; AVX1-NEXT: vmovdqu 144(%rdi), %xmm5
|
|
|
|
; AVX1-NEXT: vmovdqu 160(%rdi), %xmm1
|
|
|
|
; AVX1-NEXT: vmovdqu 176(%rdi), %xmm15
|
|
|
|
; AVX1-NEXT: vmovdqa {{.*#+}} xmm4 = [0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13]
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm6, %xmm6
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm5, %xmm5
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm11, %xmm11
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm3, %xmm3
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm10, %xmm10
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm12, %xmm12
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm14, %xmm14
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm1, %xmm1
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm13, %xmm2
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm15, %xmm0
|
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm8, %xmm7
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpshufb %xmm4, %xmm9, %xmm4
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm13 = xmm4[11,12,13,14,15],xmm3[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm15 = xmm7[11,12,13,14,15],xmm11[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm9 = xmm0[11,12,13,14,15],xmm5[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm8 = xmm2[11,12,13,14,15],xmm6[0,1,2,3,4,5,6,7,8,9,10]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm5 = xmm5[11,12,13,14,15],xmm1[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm6 = xmm6[11,12,13,14,15],xmm14[0,1,2,3,4,5,6,7,8,9,10]
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm1[11,12,13,14,15],xmm0[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm5, %ymm6, %ymm1
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm3[11,12,13,14,15],xmm12[0,1,2,3,4,5,6,7,8,9,10]
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm11 = xmm11[11,12,13,14,15],xmm10[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm2 = xmm14[11,12,13,14,15],xmm2[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm11, %ymm14
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm12[11,12,13,14,15],xmm4[0,1,2,3,4,5,6,7,8,9,10]
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm7 = xmm10[11,12,13,14,15],xmm7[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm4, %ymm7, %ymm10
|
|
|
|
; AVX1-NEXT: vbroadcastf128 {{.*#+}} ymm12 = [255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0,255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0]
|
|
|
|
; AVX1-NEXT: # ymm12 = mem[0,1,0,1]
|
|
|
|
; AVX1-NEXT: vandnps %ymm10, %ymm12, %ymm10
|
|
|
|
; AVX1-NEXT: vandps %ymm12, %ymm14, %ymm14
|
|
|
|
; AVX1-NEXT: vorps %ymm10, %ymm14, %ymm10
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm0, %ymm2, %ymm14
|
|
|
|
; AVX1-NEXT: vandnps %ymm14, %ymm12, %ymm14
|
|
|
|
; AVX1-NEXT: vandps %ymm12, %ymm1, %ymm1
|
|
|
|
; AVX1-NEXT: vorps %ymm14, %ymm1, %ymm1
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm13[11,12,13,14,15],xmm4[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm3[11,12,13,14,15],xmm13[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm12 = xmm15[11,12,13,14,15],xmm7[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm7 = xmm11[11,12,13,14,15],xmm15[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm0 = xmm9[11,12,13,14,15],xmm0[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm5 = xmm5[11,12,13,14,15],xmm9[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm9 = xmm8[11,12,13,14,15],xmm2[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm6 = xmm6[11,12,13,14,15],xmm8[0,1,2,3,4,5,6,7,8,9,10]
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm1, %xmm2
|
|
|
|
; AVX1-NEXT: vpaddb %xmm0, %xmm2, %xmm0
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm2 = xmm5[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9]
|
|
|
|
; AVX1-NEXT: vpaddb %xmm0, %xmm2, %xmm2
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm10, %xmm0
|
|
|
|
; AVX1-NEXT: vpaddb %xmm4, %xmm0, %xmm0
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm3[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpaddb %xmm0, %xmm3, %xmm0
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX1-NEXT: vpaddb %xmm12, %xmm10, %xmm3
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm4 = xmm7[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9]
|
|
|
|
; AVX1-NEXT: vpaddb %xmm3, %xmm4, %xmm3
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm0, %ymm3, %ymm0
|
|
|
|
; AVX1-NEXT: vpaddb %xmm9, %xmm1, %xmm1
|
|
|
|
; AVX1-NEXT: vpalignr {{.*#+}} xmm3 = xmm6[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9]
|
|
|
|
; AVX1-NEXT: vpaddb %xmm1, %xmm3, %xmm1
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm2, %ymm1, %ymm1
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX2-LABEL: interleaved_load_vf64_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vmovdqu (%rdi), %xmm0
|
|
|
|
; AVX2-NEXT: vmovdqu 16(%rdi), %xmm1
|
|
|
|
; AVX2-NEXT: vmovdqu 32(%rdi), %xmm2
|
|
|
|
; AVX2-NEXT: vmovdqu 96(%rdi), %xmm3
|
|
|
|
; AVX2-NEXT: vmovdqu 112(%rdi), %xmm4
|
|
|
|
; AVX2-NEXT: vmovdqu 128(%rdi), %xmm5
|
|
|
|
; AVX2-NEXT: vinserti128 $1, 48(%rdi), %ymm0, %ymm0
|
|
|
|
; AVX2-NEXT: vinserti128 $1, 64(%rdi), %ymm1, %ymm1
|
|
|
|
; AVX2-NEXT: vinserti128 $1, 80(%rdi), %ymm2, %ymm2
|
|
|
|
; AVX2-NEXT: vinserti128 $1, 144(%rdi), %ymm3, %ymm3
|
|
|
|
; AVX2-NEXT: vinserti128 $1, 160(%rdi), %ymm4, %ymm4
|
|
|
|
; AVX2-NEXT: vinserti128 $1, 176(%rdi), %ymm5, %ymm5
|
|
|
|
; AVX2-NEXT: vmovdqa {{.*#+}} ymm6 = [0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13,0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13]
|
|
|
|
; AVX2-NEXT: vpshufb %ymm6, %ymm3, %ymm3
|
|
|
|
; AVX2-NEXT: vpshufb %ymm6, %ymm0, %ymm0
|
|
|
|
; AVX2-NEXT: vpshufb %ymm6, %ymm1, %ymm1
|
|
|
|
; AVX2-NEXT: vpshufb %ymm6, %ymm4, %ymm4
|
|
|
|
; AVX2-NEXT: vpshufb %ymm6, %ymm5, %ymm5
|
|
|
|
; AVX2-NEXT: vpshufb %ymm6, %ymm2, %ymm2
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm6 = ymm2[11,12,13,14,15],ymm0[0,1,2,3,4,5,6,7,8,9,10],ymm2[27,28,29,30,31],ymm0[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm7 = ymm5[11,12,13,14,15],ymm3[0,1,2,3,4,5,6,7,8,9,10],ymm5[27,28,29,30,31],ymm3[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm3 = ymm3[11,12,13,14,15],ymm4[0,1,2,3,4,5,6,7,8,9,10],ymm3[27,28,29,30,31],ymm4[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[11,12,13,14,15],ymm1[0,1,2,3,4,5,6,7,8,9,10],ymm0[27,28,29,30,31],ymm1[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm1 = ymm1[11,12,13,14,15],ymm2[0,1,2,3,4,5,6,7,8,9,10],ymm1[27,28,29,30,31],ymm2[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm2 = ymm4[11,12,13,14,15],ymm5[0,1,2,3,4,5,6,7,8,9,10],ymm4[27,28,29,30,31],ymm5[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm4 = ymm7[11,12,13,14,15],ymm2[0,1,2,3,4,5,6,7,8,9,10],ymm7[27,28,29,30,31],ymm2[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm5 = ymm6[11,12,13,14,15],ymm1[0,1,2,3,4,5,6,7,8,9,10],ymm6[27,28,29,30,31],ymm1[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vbroadcasti128 {{.*#+}} ymm8 = [255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0,255,255,255,255,255,255,255,255,255,255,255,0,0,0,0,0]
|
|
|
|
; AVX2-NEXT: # ymm8 = mem[0,1,0,1]
|
|
|
|
; AVX2-NEXT: vpblendvb %ymm8, %ymm0, %ymm1, %ymm1
|
|
|
|
; AVX2-NEXT: vpaddb %ymm5, %ymm1, %ymm1
|
|
|
|
; AVX2-NEXT: vpblendvb %ymm8, %ymm3, %ymm2, %ymm2
|
|
|
|
; AVX2-NEXT: vpaddb %ymm4, %ymm2, %ymm2
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[11,12,13,14,15],ymm6[0,1,2,3,4,5,6,7,8,9,10],ymm0[27,28,29,30,31],ymm6[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm0 = ymm0[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,26,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vpaddb %ymm1, %ymm0, %ymm0
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm1 = ymm3[11,12,13,14,15],ymm7[0,1,2,3,4,5,6,7,8,9,10],ymm3[27,28,29,30,31],ymm7[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX2-NEXT: vpalignr {{.*#+}} ymm1 = ymm1[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,26,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vpaddb %ymm2, %ymm1, %ymm1
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX2-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX512-LABEL: interleaved_load_vf64_i8_stride3:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX512: # %bb.0:
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX512-NEXT: vmovdqu (%rdi), %xmm0
|
|
|
|
; AVX512-NEXT: vmovdqu 16(%rdi), %xmm1
|
|
|
|
; AVX512-NEXT: vmovdqu 32(%rdi), %xmm2
|
|
|
|
; AVX512-NEXT: vmovdqu 96(%rdi), %xmm3
|
|
|
|
; AVX512-NEXT: vmovdqu 112(%rdi), %xmm4
|
|
|
|
; AVX512-NEXT: vmovdqu 128(%rdi), %xmm5
|
|
|
|
; AVX512-NEXT: vinserti128 $1, 48(%rdi), %ymm0, %ymm0
|
|
|
|
; AVX512-NEXT: vinserti128 $1, 64(%rdi), %ymm1, %ymm1
|
|
|
|
; AVX512-NEXT: vinserti128 $1, 80(%rdi), %ymm2, %ymm2
|
|
|
|
; AVX512-NEXT: vinserti128 $1, 144(%rdi), %ymm3, %ymm3
|
|
|
|
; AVX512-NEXT: vinserti128 $1, 160(%rdi), %ymm4, %ymm4
|
|
|
|
; AVX512-NEXT: vinserti128 $1, 176(%rdi), %ymm5, %ymm5
|
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm3, %zmm0, %zmm0
|
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm4, %zmm1, %zmm1
|
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm5, %zmm2, %zmm2
|
|
|
|
; AVX512-NEXT: vmovdqa64 {{.*#+}} zmm3 = [0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13,0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13,0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13,0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13]
|
|
|
|
; AVX512-NEXT: vpshufb %zmm3, %zmm0, %zmm0
|
|
|
|
; AVX512-NEXT: vpshufb %zmm3, %zmm1, %zmm1
|
|
|
|
; AVX512-NEXT: vpshufb %zmm3, %zmm2, %zmm2
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm3 = zmm2[11,12,13,14,15],zmm0[0,1,2,3,4,5,6,7,8,9,10],zmm2[27,28,29,30,31],zmm0[16,17,18,19,20,21,22,23,24,25,26],zmm2[43,44,45,46,47],zmm0[32,33,34,35,36,37,38,39,40,41,42],zmm2[59,60,61,62,63],zmm0[48,49,50,51,52,53,54,55,56,57,58]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm0 = zmm0[11,12,13,14,15],zmm1[0,1,2,3,4,5,6,7,8,9,10],zmm0[27,28,29,30,31],zmm1[16,17,18,19,20,21,22,23,24,25,26],zmm0[43,44,45,46,47],zmm1[32,33,34,35,36,37,38,39,40,41,42],zmm0[59,60,61,62,63],zmm1[48,49,50,51,52,53,54,55,56,57,58]
|
|
|
|
; AVX512-NEXT: movabsq $-576188069258921984, %rax # imm = 0xF800F800F800F800
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX512-NEXT: kmovq %rax, %k1
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm4 = ymm0[11,12,13,14,15],ymm3[0,1,2,3,4,5,6,7,8,9,10],ymm0[27,28,29,30,31],ymm3[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX512-NEXT: vextracti64x4 $1, %zmm0, %ymm5
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm0 {%k1} = zmm1[11,12,13,14,15],zmm2[0,1,2,3,4,5,6,7,8,9,10],zmm1[27,28,29,30,31],zmm2[16,17,18,19,20,21,22,23,24,25,26],zmm1[43,44,45,46,47],zmm2[32,33,34,35,36,37,38,39,40,41,42],zmm1[59,60,61,62,63],zmm2[48,49,50,51,52,53,54,55,56,57,58]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm1 = zmm1[11,12,13,14,15],zmm2[0,1,2,3,4,5,6,7,8,9,10],zmm1[27,28,29,30,31],zmm2[16,17,18,19,20,21,22,23,24,25,26],zmm1[43,44,45,46,47],zmm2[32,33,34,35,36,37,38,39,40,41,42],zmm1[59,60,61,62,63],zmm2[48,49,50,51,52,53,54,55,56,57,58]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} zmm1 = zmm3[11,12,13,14,15],zmm1[0,1,2,3,4,5,6,7,8,9,10],zmm3[27,28,29,30,31],zmm1[16,17,18,19,20,21,22,23,24,25,26],zmm3[43,44,45,46,47],zmm1[32,33,34,35,36,37,38,39,40,41,42],zmm3[59,60,61,62,63],zmm1[48,49,50,51,52,53,54,55,56,57,58]
|
|
|
|
; AVX512-NEXT: vpaddb %zmm1, %zmm0, %zmm0
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm1 = ymm4[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,26,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX512-NEXT: vextracti64x4 $1, %zmm3, %ymm2
|
2018-11-13 05:12:38 +08:00
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm2 = ymm5[11,12,13,14,15],ymm2[0,1,2,3,4,5,6,7,8,9,10],ymm5[27,28,29,30,31],ymm2[16,17,18,19,20,21,22,23,24,25,26]
|
|
|
|
; AVX512-NEXT: vpalignr {{.*#+}} ymm2 = ymm2[10,11,12,13,14,15,0,1,2,3,4,5,6,7,8,9,26,27,28,29,30,31,16,17,18,19,20,21,22,23,24,25]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX512-NEXT: vinserti64x4 $1, %ymm2, %zmm1, %zmm1
|
|
|
|
; AVX512-NEXT: vpaddb %zmm0, %zmm1, %zmm0
|
2017-09-11 18:57:15 +08:00
|
|
|
; AVX512-NEXT: retq
|
|
|
|
%wide.vec = load <192 x i8>, <192 x i8>* %ptr, align 1
|
|
|
|
%v1 = shufflevector <192 x i8> %wide.vec, <192 x i8> undef, <64 x i32> <i32 0, i32 3, i32 6, i32 9, i32 12, i32 15, i32 18, i32 21, i32 24, i32 27, i32 30, i32 33, i32 36, i32 39, i32 42, i32 45, i32 48, i32 51, i32 54, i32 57, i32 60, i32 63, i32 66, i32 69, i32 72, i32 75, i32 78, i32 81, i32 84, i32 87, i32 90, i32 93, i32 96, i32 99, i32 102, i32 105, i32 108, i32 111, i32 114, i32 117, i32 120, i32 123, i32 126, i32 129, i32 132, i32 135, i32 138, i32 141, i32 144, i32 147, i32 150, i32 153, i32 156, i32 159, i32 162, i32 165, i32 168, i32 171, i32 174, i32 177, i32 180, i32 183, i32 186, i32 189>
|
|
|
|
%v2 = shufflevector <192 x i8> %wide.vec, <192 x i8> undef, <64 x i32> <i32 1, i32 4, i32 7, i32 10, i32 13, i32 16, i32 19, i32 22, i32 25, i32 28, i32 31, i32 34, i32 37, i32 40, i32 43, i32 46, i32 49, i32 52, i32 55, i32 58, i32 61, i32 64, i32 67, i32 70, i32 73, i32 76, i32 79, i32 82, i32 85, i32 88, i32 91, i32 94, i32 97, i32 100, i32 103, i32 106, i32 109, i32 112, i32 115, i32 118, i32 121, i32 124, i32 127, i32 130, i32 133, i32 136, i32 139, i32 142, i32 145, i32 148, i32 151, i32 154, i32 157, i32 160, i32 163, i32 166, i32 169, i32 172, i32 175, i32 178, i32 181, i32 184, i32 187, i32 190>
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|
|
|
%v3 = shufflevector <192 x i8> %wide.vec, <192 x i8> undef, <64 x i32> <i32 2, i32 5, i32 8, i32 11, i32 14, i32 17, i32 20, i32 23, i32 26, i32 29, i32 32, i32 35, i32 38, i32 41, i32 44, i32 47, i32 50, i32 53, i32 56, i32 59, i32 62, i32 65, i32 68, i32 71, i32 74, i32 77, i32 80, i32 83, i32 86, i32 89, i32 92, i32 95, i32 98, i32 101, i32 104, i32 107, i32 110, i32 113, i32 116, i32 119, i32 122, i32 125, i32 128, i32 131, i32 134, i32 137, i32 140, i32 143, i32 146, i32 149, i32 152, i32 155, i32 158, i32 161, i32 164, i32 167, i32 170, i32 173, i32 176, i32 179, i32 182, i32 185, i32 188, i32 191>
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|
|
%add1 = add <64 x i8> %v1, %v2
|
|
|
|
%add2 = add <64 x i8> %v3, %add1
|
|
|
|
ret <64 x i8> %add2
|
|
|
|
}
|
2017-10-01 17:37:38 +08:00
|
|
|
|
|
|
|
define void @interleaved_store_vf64_i8_stride4(<64 x i8> %a, <64 x i8> %b, <64 x i8> %c,<64 x i8> %d, <256 x i8>* %p) {
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|
|
|
; AVX1-LABEL: interleaved_store_vf64_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX1: # %bb.0:
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm8 = xmm0[0],xmm2[0],xmm0[1],xmm2[1],xmm0[2],xmm2[2],xmm0[3],xmm2[3],xmm0[4],xmm2[4],xmm0[5],xmm2[5],xmm0[6],xmm2[6],xmm0[7],xmm2[7]
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm2, %xmm11
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm0, %xmm12
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm9 = xmm12[0],xmm11[0],xmm12[1],xmm11[1],xmm12[2],xmm11[2],xmm12[3],xmm11[3],xmm12[4],xmm11[4],xmm12[5],xmm11[5],xmm12[6],xmm11[6],xmm12[7],xmm11[7]
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|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm10 = xmm1[0],xmm3[0],xmm1[1],xmm3[1],xmm1[2],xmm3[2],xmm1[3],xmm3[3],xmm1[4],xmm3[4],xmm1[5],xmm3[5],xmm1[6],xmm3[6],xmm1[7],xmm3[7]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm3, %xmm13
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm1, %xmm14
|
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm15 = xmm14[0],xmm13[0],xmm14[1],xmm13[1],xmm14[2],xmm13[2],xmm14[3],xmm13[3],xmm14[4],xmm13[4],xmm14[5],xmm13[5],xmm14[6],xmm13[6],xmm14[7],xmm13[7]
|
2017-10-01 17:37:38 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm0 = xmm0[8],xmm2[8],xmm0[9],xmm2[9],xmm0[10],xmm2[10],xmm0[11],xmm2[11],xmm0[12],xmm2[12],xmm0[13],xmm2[13],xmm0[14],xmm2[14],xmm0[15],xmm2[15]
|
2018-10-13 03:03:54 +08:00
|
|
|
; AVX1-NEXT: vmovdqa %xmm0, {{[-0-9]+}}(%r{{[sb]}}p) # 16-byte Spill
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm11 = xmm12[8],xmm11[8],xmm12[9],xmm11[9],xmm12[10],xmm11[10],xmm12[11],xmm11[11],xmm12[12],xmm11[12],xmm12[13],xmm11[13],xmm12[14],xmm11[14],xmm12[15],xmm11[15]
|
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm12 = xmm1[8],xmm3[8],xmm1[9],xmm3[9],xmm1[10],xmm3[10],xmm1[11],xmm3[11],xmm1[12],xmm3[12],xmm1[13],xmm3[13],xmm1[14],xmm3[14],xmm1[15],xmm3[15]
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm13 = xmm14[8],xmm13[8],xmm14[9],xmm13[9],xmm14[10],xmm13[10],xmm14[11],xmm13[11],xmm14[12],xmm13[12],xmm14[13],xmm13[13],xmm14[14],xmm13[14],xmm14[15],xmm13[15]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm14 = xmm4[0],xmm6[0],xmm4[1],xmm6[1],xmm4[2],xmm6[2],xmm4[3],xmm6[3],xmm4[4],xmm6[4],xmm4[5],xmm6[5],xmm4[6],xmm6[6],xmm4[7],xmm6[7]
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm6, %xmm1
|
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm4, %xmm3
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm2 = xmm3[0],xmm1[0],xmm3[1],xmm1[1],xmm3[2],xmm1[2],xmm3[3],xmm1[3],xmm3[4],xmm1[4],xmm3[5],xmm1[5],xmm3[6],xmm1[6],xmm3[7],xmm1[7]
|
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm4 = xmm4[8],xmm6[8],xmm4[9],xmm6[9],xmm4[10],xmm6[10],xmm4[11],xmm6[11],xmm4[12],xmm6[12],xmm4[13],xmm6[13],xmm4[14],xmm6[14],xmm4[15],xmm6[15]
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm6 = xmm5[0],xmm7[0],xmm5[1],xmm7[1],xmm5[2],xmm7[2],xmm5[3],xmm7[3],xmm5[4],xmm7[4],xmm5[5],xmm7[5],xmm5[6],xmm7[6],xmm5[7],xmm7[7]
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm1 = xmm3[8],xmm1[8],xmm3[9],xmm1[9],xmm3[10],xmm1[10],xmm3[11],xmm1[11],xmm3[12],xmm1[12],xmm3[13],xmm1[13],xmm3[14],xmm1[14],xmm3[15],xmm1[15]
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm7, %xmm3
|
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm7 = xmm5[8],xmm7[8],xmm5[9],xmm7[9],xmm5[10],xmm7[10],xmm5[11],xmm7[11],xmm5[12],xmm7[12],xmm5[13],xmm7[13],xmm5[14],xmm7[14],xmm5[15],xmm7[15]
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vextractf128 $1, %ymm5, %xmm5
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vpunpcklbw {{.*#+}} xmm0 = xmm5[0],xmm3[0],xmm5[1],xmm3[1],xmm5[2],xmm3[2],xmm5[3],xmm3[3],xmm5[4],xmm3[4],xmm5[5],xmm3[5],xmm5[6],xmm3[6],xmm5[7],xmm3[7]
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vpunpckhbw {{.*#+}} xmm3 = xmm5[8],xmm3[8],xmm5[9],xmm3[9],xmm5[10],xmm3[10],xmm5[11],xmm3[11],xmm5[12],xmm3[12],xmm5[13],xmm3[13],xmm5[14],xmm3[14],xmm5[15],xmm3[15]
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm5 = xmm15[0],xmm0[0],xmm15[1],xmm0[1],xmm15[2],xmm0[2],xmm15[3],xmm0[3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm0 = xmm15[4],xmm0[4],xmm15[5],xmm0[5],xmm15[6],xmm0[6],xmm15[7],xmm0[7]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm15 = xmm10[0],xmm6[0],xmm10[1],xmm6[1],xmm10[2],xmm6[2],xmm10[3],xmm6[3]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm5, %ymm15, %ymm5
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm0, %ymm0, %ymm0
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm0 = ymm5[2,3],ymm0[2,3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm5 = xmm10[4],xmm6[4],xmm10[5],xmm6[5],xmm10[6],xmm6[6],xmm10[7],xmm6[7]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm6 = xmm9[0],xmm2[0],xmm9[1],xmm2[1],xmm9[2],xmm2[2],xmm9[3],xmm2[3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm2 = xmm9[4],xmm2[4],xmm9[5],xmm2[5],xmm9[6],xmm2[6],xmm9[7],xmm2[7]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm9 = xmm8[0],xmm14[0],xmm8[1],xmm14[1],xmm8[2],xmm14[2],xmm8[3],xmm14[3]
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm6, %ymm9, %ymm6
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm2, %ymm0, %ymm2
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm10 = ymm6[2,3],ymm2[2,3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm14 = xmm8[4],xmm14[4],xmm8[5],xmm14[5],xmm8[6],xmm14[6],xmm8[7],xmm14[7]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm2 = xmm13[0],xmm3[0],xmm13[1],xmm3[1],xmm13[2],xmm3[2],xmm13[3],xmm3[3]
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm3 = xmm13[4],xmm3[4],xmm13[5],xmm3[5],xmm13[6],xmm3[6],xmm13[7],xmm3[7]
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm8 = xmm12[0],xmm7[0],xmm12[1],xmm7[1],xmm12[2],xmm7[2],xmm12[3],xmm7[3]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm2, %ymm8, %ymm2
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm0, %ymm3
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm2 = ymm2[2,3],ymm3[2,3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm3 = xmm12[4],xmm7[4],xmm12[5],xmm7[5],xmm12[6],xmm7[6],xmm12[7],xmm7[7]
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm7 = xmm11[0],xmm1[0],xmm11[1],xmm1[1],xmm11[2],xmm1[2],xmm11[3],xmm1[3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm1 = xmm11[4],xmm1[4],xmm11[5],xmm1[5],xmm11[6],xmm1[6],xmm11[7],xmm1[7]
|
|
|
|
; AVX1-NEXT: vmovdqa {{[-0-9]+}}(%r{{[sb]}}p), %xmm6 # 16-byte Reload
|
|
|
|
; AVX1-NEXT: vpunpcklwd {{.*#+}} xmm11 = xmm6[0],xmm4[0],xmm6[1],xmm4[1],xmm6[2],xmm4[2],xmm6[3],xmm4[3]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm7, %ymm11, %ymm7
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm1, %ymm0, %ymm1
|
|
|
|
; AVX1-NEXT: vperm2f128 {{.*#+}} ymm1 = ymm7[2,3],ymm1[2,3]
|
|
|
|
; AVX1-NEXT: vpunpckhwd {{.*#+}} xmm4 = xmm6[4],xmm4[4],xmm6[5],xmm4[5],xmm6[6],xmm4[6],xmm6[7],xmm4[7]
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm14, %ymm9, %ymm6
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm4, %ymm11, %ymm4
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm5, %ymm15, %ymm5
|
|
|
|
; AVX1-NEXT: vinsertf128 $1, %xmm3, %ymm8, %ymm3
|
|
|
|
; AVX1-NEXT: vmovaps %ymm3, 160(%rdi)
|
|
|
|
; AVX1-NEXT: vmovaps %ymm5, 128(%rdi)
|
2018-11-20 23:23:50 +08:00
|
|
|
; AVX1-NEXT: vmovaps %ymm4, 32(%rdi)
|
2019-02-01 01:38:10 +08:00
|
|
|
; AVX1-NEXT: vmovaps %ymm6, (%rdi)
|
|
|
|
; AVX1-NEXT: vmovaps %ymm2, 224(%rdi)
|
|
|
|
; AVX1-NEXT: vmovaps %ymm0, 192(%rdi)
|
|
|
|
; AVX1-NEXT: vmovaps %ymm1, 96(%rdi)
|
|
|
|
; AVX1-NEXT: vmovaps %ymm10, 64(%rdi)
|
2017-10-01 17:37:38 +08:00
|
|
|
; AVX1-NEXT: vzeroupper
|
|
|
|
; AVX1-NEXT: retq
|
|
|
|
;
|
|
|
|
; AVX2-LABEL: interleaved_store_vf64_i8_stride4:
|
2017-12-05 01:18:51 +08:00
|
|
|
; AVX2: # %bb.0:
|
2017-10-02 15:35:25 +08:00
|
|
|
; AVX2-NEXT: vpunpcklbw {{.*#+}} ymm8 = ymm0[0],ymm2[0],ymm0[1],ymm2[1],ymm0[2],ymm2[2],ymm0[3],ymm2[3],ymm0[4],ymm2[4],ymm0[5],ymm2[5],ymm0[6],ymm2[6],ymm0[7],ymm2[7],ymm0[16],ymm2[16],ymm0[17],ymm2[17],ymm0[18],ymm2[18],ymm0[19],ymm2[19],ymm0[20],ymm2[20],ymm0[21],ymm2[21],ymm0[22],ymm2[22],ymm0[23],ymm2[23]
|
|
|
|
; AVX2-NEXT: vpunpcklbw {{.*#+}} ymm9 = ymm1[0],ymm3[0],ymm1[1],ymm3[1],ymm1[2],ymm3[2],ymm1[3],ymm3[3],ymm1[4],ymm3[4],ymm1[5],ymm3[5],ymm1[6],ymm3[6],ymm1[7],ymm3[7],ymm1[16],ymm3[16],ymm1[17],ymm3[17],ymm1[18],ymm3[18],ymm1[19],ymm3[19],ymm1[20],ymm3[20],ymm1[21],ymm3[21],ymm1[22],ymm3[22],ymm1[23],ymm3[23]
|
|
|
|
; AVX2-NEXT: vpunpckhbw {{.*#+}} ymm0 = ymm0[8],ymm2[8],ymm0[9],ymm2[9],ymm0[10],ymm2[10],ymm0[11],ymm2[11],ymm0[12],ymm2[12],ymm0[13],ymm2[13],ymm0[14],ymm2[14],ymm0[15],ymm2[15],ymm0[24],ymm2[24],ymm0[25],ymm2[25],ymm0[26],ymm2[26],ymm0[27],ymm2[27],ymm0[28],ymm2[28],ymm0[29],ymm2[29],ymm0[30],ymm2[30],ymm0[31],ymm2[31]
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; AVX2-NEXT: vpunpckhbw {{.*#+}} ymm1 = ymm1[8],ymm3[8],ymm1[9],ymm3[9],ymm1[10],ymm3[10],ymm1[11],ymm3[11],ymm1[12],ymm3[12],ymm1[13],ymm3[13],ymm1[14],ymm3[14],ymm1[15],ymm3[15],ymm1[24],ymm3[24],ymm1[25],ymm3[25],ymm1[26],ymm3[26],ymm1[27],ymm3[27],ymm1[28],ymm3[28],ymm1[29],ymm3[29],ymm1[30],ymm3[30],ymm1[31],ymm3[31]
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; AVX2-NEXT: vpunpcklbw {{.*#+}} ymm2 = ymm4[0],ymm6[0],ymm4[1],ymm6[1],ymm4[2],ymm6[2],ymm4[3],ymm6[3],ymm4[4],ymm6[4],ymm4[5],ymm6[5],ymm4[6],ymm6[6],ymm4[7],ymm6[7],ymm4[16],ymm6[16],ymm4[17],ymm6[17],ymm4[18],ymm6[18],ymm4[19],ymm6[19],ymm4[20],ymm6[20],ymm4[21],ymm6[21],ymm4[22],ymm6[22],ymm4[23],ymm6[23]
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; AVX2-NEXT: vpunpcklbw {{.*#+}} ymm3 = ymm5[0],ymm7[0],ymm5[1],ymm7[1],ymm5[2],ymm7[2],ymm5[3],ymm7[3],ymm5[4],ymm7[4],ymm5[5],ymm7[5],ymm5[6],ymm7[6],ymm5[7],ymm7[7],ymm5[16],ymm7[16],ymm5[17],ymm7[17],ymm5[18],ymm7[18],ymm5[19],ymm7[19],ymm5[20],ymm7[20],ymm5[21],ymm7[21],ymm5[22],ymm7[22],ymm5[23],ymm7[23]
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; AVX2-NEXT: vpunpckhbw {{.*#+}} ymm4 = ymm4[8],ymm6[8],ymm4[9],ymm6[9],ymm4[10],ymm6[10],ymm4[11],ymm6[11],ymm4[12],ymm6[12],ymm4[13],ymm6[13],ymm4[14],ymm6[14],ymm4[15],ymm6[15],ymm4[24],ymm6[24],ymm4[25],ymm6[25],ymm4[26],ymm6[26],ymm4[27],ymm6[27],ymm4[28],ymm6[28],ymm4[29],ymm6[29],ymm4[30],ymm6[30],ymm4[31],ymm6[31]
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; AVX2-NEXT: vpunpckhbw {{.*#+}} ymm5 = ymm5[8],ymm7[8],ymm5[9],ymm7[9],ymm5[10],ymm7[10],ymm5[11],ymm7[11],ymm5[12],ymm7[12],ymm5[13],ymm7[13],ymm5[14],ymm7[14],ymm5[15],ymm7[15],ymm5[24],ymm7[24],ymm5[25],ymm7[25],ymm5[26],ymm7[26],ymm5[27],ymm7[27],ymm5[28],ymm7[28],ymm5[29],ymm7[29],ymm5[30],ymm7[30],ymm5[31],ymm7[31]
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; AVX2-NEXT: vpunpcklwd {{.*#+}} ymm6 = ymm9[0],ymm3[0],ymm9[1],ymm3[1],ymm9[2],ymm3[2],ymm9[3],ymm3[3],ymm9[8],ymm3[8],ymm9[9],ymm3[9],ymm9[10],ymm3[10],ymm9[11],ymm3[11]
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; AVX2-NEXT: vpunpcklwd {{.*#+}} ymm7 = ymm8[0],ymm2[0],ymm8[1],ymm2[1],ymm8[2],ymm2[2],ymm8[3],ymm2[3],ymm8[8],ymm2[8],ymm8[9],ymm2[9],ymm8[10],ymm2[10],ymm8[11],ymm2[11]
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; AVX2-NEXT: vpunpckhwd {{.*#+}} ymm3 = ymm9[4],ymm3[4],ymm9[5],ymm3[5],ymm9[6],ymm3[6],ymm9[7],ymm3[7],ymm9[12],ymm3[12],ymm9[13],ymm3[13],ymm9[14],ymm3[14],ymm9[15],ymm3[15]
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; AVX2-NEXT: vpunpckhwd {{.*#+}} ymm2 = ymm8[4],ymm2[4],ymm8[5],ymm2[5],ymm8[6],ymm2[6],ymm8[7],ymm2[7],ymm8[12],ymm2[12],ymm8[13],ymm2[13],ymm8[14],ymm2[14],ymm8[15],ymm2[15]
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; AVX2-NEXT: vpunpcklwd {{.*#+}} ymm8 = ymm1[0],ymm5[0],ymm1[1],ymm5[1],ymm1[2],ymm5[2],ymm1[3],ymm5[3],ymm1[8],ymm5[8],ymm1[9],ymm5[9],ymm1[10],ymm5[10],ymm1[11],ymm5[11]
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; AVX2-NEXT: vpunpcklwd {{.*#+}} ymm9 = ymm0[0],ymm4[0],ymm0[1],ymm4[1],ymm0[2],ymm4[2],ymm0[3],ymm4[3],ymm0[8],ymm4[8],ymm0[9],ymm4[9],ymm0[10],ymm4[10],ymm0[11],ymm4[11]
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; AVX2-NEXT: vpunpckhwd {{.*#+}} ymm1 = ymm1[4],ymm5[4],ymm1[5],ymm5[5],ymm1[6],ymm5[6],ymm1[7],ymm5[7],ymm1[12],ymm5[12],ymm1[13],ymm5[13],ymm1[14],ymm5[14],ymm1[15],ymm5[15]
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; AVX2-NEXT: vpunpckhwd {{.*#+}} ymm0 = ymm0[4],ymm4[4],ymm0[5],ymm4[5],ymm0[6],ymm4[6],ymm0[7],ymm4[7],ymm0[12],ymm4[12],ymm0[13],ymm4[13],ymm0[14],ymm4[14],ymm0[15],ymm4[15]
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; AVX2-NEXT: vinserti128 $1, %xmm2, %ymm7, %ymm4
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; AVX2-NEXT: vinserti128 $1, %xmm0, %ymm9, %ymm5
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; AVX2-NEXT: vperm2i128 {{.*#+}} ymm2 = ymm7[2,3],ymm2[2,3]
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; AVX2-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm9[2,3],ymm0[2,3]
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; AVX2-NEXT: vinserti128 $1, %xmm3, %ymm6, %ymm7
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; AVX2-NEXT: vinserti128 $1, %xmm1, %ymm8, %ymm9
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; AVX2-NEXT: vperm2i128 {{.*#+}} ymm3 = ymm6[2,3],ymm3[2,3]
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; AVX2-NEXT: vperm2i128 {{.*#+}} ymm1 = ymm8[2,3],ymm1[2,3]
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2017-10-01 17:37:38 +08:00
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; AVX2-NEXT: vmovdqa %ymm1, 224(%rdi)
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2017-10-02 15:35:25 +08:00
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; AVX2-NEXT: vmovdqa %ymm3, 192(%rdi)
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; AVX2-NEXT: vmovdqa %ymm0, 96(%rdi)
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; AVX2-NEXT: vmovdqa %ymm2, 64(%rdi)
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; AVX2-NEXT: vmovdqa %ymm9, 160(%rdi)
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; AVX2-NEXT: vmovdqa %ymm7, 128(%rdi)
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; AVX2-NEXT: vmovdqa %ymm5, 32(%rdi)
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; AVX2-NEXT: vmovdqa %ymm4, (%rdi)
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2017-10-01 17:37:38 +08:00
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; AVX2-NEXT: vzeroupper
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; AVX2-NEXT: retq
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;
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; AVX512-LABEL: interleaved_store_vf64_i8_stride4:
|
2017-12-05 01:18:51 +08:00
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; AVX512: # %bb.0:
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2017-10-02 15:35:25 +08:00
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; AVX512-NEXT: vpunpcklbw {{.*#+}} zmm4 = zmm0[0],zmm1[0],zmm0[1],zmm1[1],zmm0[2],zmm1[2],zmm0[3],zmm1[3],zmm0[4],zmm1[4],zmm0[5],zmm1[5],zmm0[6],zmm1[6],zmm0[7],zmm1[7],zmm0[16],zmm1[16],zmm0[17],zmm1[17],zmm0[18],zmm1[18],zmm0[19],zmm1[19],zmm0[20],zmm1[20],zmm0[21],zmm1[21],zmm0[22],zmm1[22],zmm0[23],zmm1[23],zmm0[32],zmm1[32],zmm0[33],zmm1[33],zmm0[34],zmm1[34],zmm0[35],zmm1[35],zmm0[36],zmm1[36],zmm0[37],zmm1[37],zmm0[38],zmm1[38],zmm0[39],zmm1[39],zmm0[48],zmm1[48],zmm0[49],zmm1[49],zmm0[50],zmm1[50],zmm0[51],zmm1[51],zmm0[52],zmm1[52],zmm0[53],zmm1[53],zmm0[54],zmm1[54],zmm0[55],zmm1[55]
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; AVX512-NEXT: vpunpckhbw {{.*#+}} zmm0 = zmm0[8],zmm1[8],zmm0[9],zmm1[9],zmm0[10],zmm1[10],zmm0[11],zmm1[11],zmm0[12],zmm1[12],zmm0[13],zmm1[13],zmm0[14],zmm1[14],zmm0[15],zmm1[15],zmm0[24],zmm1[24],zmm0[25],zmm1[25],zmm0[26],zmm1[26],zmm0[27],zmm1[27],zmm0[28],zmm1[28],zmm0[29],zmm1[29],zmm0[30],zmm1[30],zmm0[31],zmm1[31],zmm0[40],zmm1[40],zmm0[41],zmm1[41],zmm0[42],zmm1[42],zmm0[43],zmm1[43],zmm0[44],zmm1[44],zmm0[45],zmm1[45],zmm0[46],zmm1[46],zmm0[47],zmm1[47],zmm0[56],zmm1[56],zmm0[57],zmm1[57],zmm0[58],zmm1[58],zmm0[59],zmm1[59],zmm0[60],zmm1[60],zmm0[61],zmm1[61],zmm0[62],zmm1[62],zmm0[63],zmm1[63]
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; AVX512-NEXT: vpunpcklbw {{.*#+}} zmm1 = zmm2[0],zmm3[0],zmm2[1],zmm3[1],zmm2[2],zmm3[2],zmm2[3],zmm3[3],zmm2[4],zmm3[4],zmm2[5],zmm3[5],zmm2[6],zmm3[6],zmm2[7],zmm3[7],zmm2[16],zmm3[16],zmm2[17],zmm3[17],zmm2[18],zmm3[18],zmm2[19],zmm3[19],zmm2[20],zmm3[20],zmm2[21],zmm3[21],zmm2[22],zmm3[22],zmm2[23],zmm3[23],zmm2[32],zmm3[32],zmm2[33],zmm3[33],zmm2[34],zmm3[34],zmm2[35],zmm3[35],zmm2[36],zmm3[36],zmm2[37],zmm3[37],zmm2[38],zmm3[38],zmm2[39],zmm3[39],zmm2[48],zmm3[48],zmm2[49],zmm3[49],zmm2[50],zmm3[50],zmm2[51],zmm3[51],zmm2[52],zmm3[52],zmm2[53],zmm3[53],zmm2[54],zmm3[54],zmm2[55],zmm3[55]
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; AVX512-NEXT: vpunpckhbw {{.*#+}} zmm2 = zmm2[8],zmm3[8],zmm2[9],zmm3[9],zmm2[10],zmm3[10],zmm2[11],zmm3[11],zmm2[12],zmm3[12],zmm2[13],zmm3[13],zmm2[14],zmm3[14],zmm2[15],zmm3[15],zmm2[24],zmm3[24],zmm2[25],zmm3[25],zmm2[26],zmm3[26],zmm2[27],zmm3[27],zmm2[28],zmm3[28],zmm2[29],zmm3[29],zmm2[30],zmm3[30],zmm2[31],zmm3[31],zmm2[40],zmm3[40],zmm2[41],zmm3[41],zmm2[42],zmm3[42],zmm2[43],zmm3[43],zmm2[44],zmm3[44],zmm2[45],zmm3[45],zmm2[46],zmm3[46],zmm2[47],zmm3[47],zmm2[56],zmm3[56],zmm2[57],zmm3[57],zmm2[58],zmm3[58],zmm2[59],zmm3[59],zmm2[60],zmm3[60],zmm2[61],zmm3[61],zmm2[62],zmm3[62],zmm2[63],zmm3[63]
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; AVX512-NEXT: vpunpcklwd {{.*#+}} zmm3 = zmm4[0],zmm1[0],zmm4[1],zmm1[1],zmm4[2],zmm1[2],zmm4[3],zmm1[3],zmm4[8],zmm1[8],zmm4[9],zmm1[9],zmm4[10],zmm1[10],zmm4[11],zmm1[11],zmm4[16],zmm1[16],zmm4[17],zmm1[17],zmm4[18],zmm1[18],zmm4[19],zmm1[19],zmm4[24],zmm1[24],zmm4[25],zmm1[25],zmm4[26],zmm1[26],zmm4[27],zmm1[27]
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; AVX512-NEXT: vpunpckhwd {{.*#+}} zmm1 = zmm4[4],zmm1[4],zmm4[5],zmm1[5],zmm4[6],zmm1[6],zmm4[7],zmm1[7],zmm4[12],zmm1[12],zmm4[13],zmm1[13],zmm4[14],zmm1[14],zmm4[15],zmm1[15],zmm4[20],zmm1[20],zmm4[21],zmm1[21],zmm4[22],zmm1[22],zmm4[23],zmm1[23],zmm4[28],zmm1[28],zmm4[29],zmm1[29],zmm4[30],zmm1[30],zmm4[31],zmm1[31]
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; AVX512-NEXT: vpunpcklwd {{.*#+}} zmm4 = zmm0[0],zmm2[0],zmm0[1],zmm2[1],zmm0[2],zmm2[2],zmm0[3],zmm2[3],zmm0[8],zmm2[8],zmm0[9],zmm2[9],zmm0[10],zmm2[10],zmm0[11],zmm2[11],zmm0[16],zmm2[16],zmm0[17],zmm2[17],zmm0[18],zmm2[18],zmm0[19],zmm2[19],zmm0[24],zmm2[24],zmm0[25],zmm2[25],zmm0[26],zmm2[26],zmm0[27],zmm2[27]
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; AVX512-NEXT: vpunpckhwd {{.*#+}} zmm0 = zmm0[4],zmm2[4],zmm0[5],zmm2[5],zmm0[6],zmm2[6],zmm0[7],zmm2[7],zmm0[12],zmm2[12],zmm0[13],zmm2[13],zmm0[14],zmm2[14],zmm0[15],zmm2[15],zmm0[20],zmm2[20],zmm0[21],zmm2[21],zmm0[22],zmm2[22],zmm0[23],zmm2[23],zmm0[28],zmm2[28],zmm0[29],zmm2[29],zmm0[30],zmm2[30],zmm0[31],zmm2[31]
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; AVX512-NEXT: vinserti128 $1, %xmm1, %ymm3, %ymm2
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; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm4, %ymm5
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; AVX512-NEXT: vperm2i128 {{.*#+}} ymm6 = ymm3[2,3],ymm1[2,3]
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; AVX512-NEXT: vperm2i128 {{.*#+}} ymm7 = ymm4[2,3],ymm0[2,3]
|
2017-10-01 17:37:38 +08:00
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; AVX512-NEXT: vextracti64x4 $1, %zmm3, %ymm3
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; AVX512-NEXT: vextracti64x4 $1, %zmm1, %ymm1
|
2017-10-02 15:35:25 +08:00
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; AVX512-NEXT: vinserti128 $1, %xmm1, %ymm3, %ymm8
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; AVX512-NEXT: vextracti64x4 $1, %zmm4, %ymm4
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2017-10-01 17:37:38 +08:00
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; AVX512-NEXT: vextracti64x4 $1, %zmm0, %ymm0
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2017-10-02 15:35:25 +08:00
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; AVX512-NEXT: vinserti128 $1, %xmm0, %ymm4, %ymm9
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; AVX512-NEXT: vperm2i128 {{.*#+}} ymm1 = ymm3[2,3],ymm1[2,3]
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; AVX512-NEXT: vperm2i128 {{.*#+}} ymm0 = ymm4[2,3],ymm0[2,3]
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; AVX512-NEXT: vinserti64x4 $1, %ymm5, %zmm2, %zmm2
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; AVX512-NEXT: vinserti64x4 $1, %ymm7, %zmm6, %zmm3
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; AVX512-NEXT: vinserti64x4 $1, %ymm9, %zmm8, %zmm4
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; AVX512-NEXT: vinserti64x4 $1, %ymm0, %zmm1, %zmm0
|
2018-01-18 15:44:09 +08:00
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; AVX512-NEXT: vmovdqa64 %zmm0, 192(%rdi)
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; AVX512-NEXT: vmovdqa64 %zmm3, 64(%rdi)
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; AVX512-NEXT: vmovdqa64 %zmm4, 128(%rdi)
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; AVX512-NEXT: vmovdqa64 %zmm2, (%rdi)
|
2017-10-01 17:37:38 +08:00
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; AVX512-NEXT: vzeroupper
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; AVX512-NEXT: retq
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%1 = shufflevector <64 x i8> %a, <64 x i8> %b, <128 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 32, i32 33, i32 34, i32 35, i32 36, i32 37, i32 38, i32 39, i32 40, i32 41, i32 42, i32 43, i32 44, i32 45, i32 46, i32 47, i32 48, i32 49, i32 50, i32 51, i32 52, i32 53, i32 54, i32 55, i32 56, i32 57, i32 58, i32 59, i32 60, i32 61, i32 62, i32 63, i32 64, i32 65, i32 66, i32 67, i32 68, i32 69, i32 70, i32 71, i32 72, i32 73, i32 74, i32 75, i32 76, i32 77, i32 78, i32 79, i32 80, i32 81, i32 82, i32 83, i32 84, i32 85, i32 86, i32 87, i32 88, i32 89, i32 90, i32 91, i32 92, i32 93, i32 94, i32 95, i32 96, i32 97, i32 98, i32 99, i32 100, i32 101, i32 102, i32 103, i32 104, i32 105, i32 106, i32 107, i32 108, i32 109, i32 110, i32 111, i32 112, i32 113, i32 114, i32 115, i32 116, i32 117, i32 118, i32 119, i32 120, i32 121, i32 122, i32 123, i32 124, i32 125, i32 126, i32 127>
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%2 = shufflevector <64 x i8> %c, <64 x i8> %d, <128 x i32> <i32 0, i32 1, i32 2, i32 3, i32 4, i32 5, i32 6, i32 7, i32 8, i32 9, i32 10, i32 11, i32 12, i32 13, i32 14, i32 15, i32 16, i32 17, i32 18, i32 19, i32 20, i32 21, i32 22, i32 23, i32 24, i32 25, i32 26, i32 27, i32 28, i32 29, i32 30, i32 31, i32 32, i32 33, i32 34, i32 35, i32 36, i32 37, i32 38, i32 39, i32 40, i32 41, i32 42, i32 43, i32 44, i32 45, i32 46, i32 47, i32 48, i32 49, i32 50, i32 51, i32 52, i32 53, i32 54, i32 55, i32 56, i32 57, i32 58, i32 59, i32 60, i32 61, i32 62, i32 63, i32 64, i32 65, i32 66, i32 67, i32 68, i32 69, i32 70, i32 71, i32 72, i32 73, i32 74, i32 75, i32 76, i32 77, i32 78, i32 79, i32 80, i32 81, i32 82, i32 83, i32 84, i32 85, i32 86, i32 87, i32 88, i32 89, i32 90, i32 91, i32 92, i32 93, i32 94, i32 95, i32 96, i32 97, i32 98, i32 99, i32 100, i32 101, i32 102, i32 103, i32 104, i32 105, i32 106, i32 107, i32 108, i32 109, i32 110, i32 111, i32 112, i32 113, i32 114, i32 115, i32 116, i32 117, i32 118, i32 119, i32 120, i32 121, i32 122, i32 123, i32 124, i32 125, i32 126, i32 127>
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%interleaved = shufflevector <128 x i8> %1, <128 x i8> %2, <256 x i32> <i32 0, i32 64, i32 128, i32 192, i32 1, i32 65, i32 129, i32 193, i32 2, i32 66, i32 130, i32 194, i32 3, i32 67, i32 131, i32 195, i32 4, i32 68, i32 132, i32 196, i32 5, i32 69, i32 133, i32 197, i32 6, i32 70, i32 134, i32 198, i32 7, i32 71, i32 135, i32 199, i32 8, i32 72, i32 136, i32 200, i32 9, i32 73, i32 137, i32 201, i32 10, i32 74, i32 138, i32 202, i32 11, i32 75, i32 139, i32 203, i32 12, i32 76, i32 140, i32 204, i32 13, i32 77, i32 141, i32 205, i32 14, i32 78, i32 142, i32 206, i32 15, i32 79, i32 143, i32 207, i32 16, i32 80, i32 144, i32 208, i32 17, i32 81, i32 145, i32 209, i32 18, i32 82, i32 146, i32 210, i32 19, i32 83, i32 147, i32 211, i32 20, i32 84, i32 148, i32 212, i32 21, i32 85, i32 149, i32 213, i32 22, i32 86, i32 150, i32 214, i32 23, i32 87, i32 151, i32 215, i32 24, i32 88, i32 152, i32 216, i32 25, i32 89, i32 153, i32 217, i32 26, i32 90, i32 154, i32 218, i32 27, i32 91, i32 155, i32 219, i32 28, i32 92, i32 156, i32 220, i32 29, i32 93, i32 157, i32 221, i32 30, i32 94, i32 158, i32 222, i32 31, i32 95, i32 159, i32 223, i32 32, i32 96, i32 160, i32 224, i32 33, i32 97, i32 161, i32 225, i32 34, i32 98, i32 162, i32 226, i32 35, i32 99, i32 163, i32 227, i32 36, i32 100, i32 164, i32 228, i32 37, i32 101, i32 165, i32 229, i32 38, i32 102, i32 166, i32 230, i32 39, i32 103, i32 167, i32 231, i32 40, i32 104, i32 168, i32 232, i32 41, i32 105, i32 169, i32 233, i32 42, i32 106, i32 170, i32 234, i32 43, i32 107, i32 171, i32 235, i32 44, i32 108, i32 172, i32 236, i32 45, i32 109, i32 173, i32 237, i32 46, i32 110, i32 174, i32 238, i32 47, i32 111, i32 175, i32 239, i32 48, i32 112, i32 176, i32 240, i32 49, i32 113, i32 177, i32 241, i32 50, i32 114, i32 178, i32 242, i32 51, i32 115, i32 179, i32 243, i32 52, i32 116, i32 180, i32 244, i32 53, i32 117, i32 181, i32 245, i32 54, i32 118, i32 182, i32 246, i32 55, i32 119, i32 183, i32 247, i32 56, i32 120, i32 184, i32 248, i32 57, i32 121, i32 185, i32 249, i32 58, i32 122, i32 186, i32 250, i32 59, i32 123, i32 187, i32 251, i32 60, i32 124, i32 188, i32 252, i32 61, i32 125, i32 189, i32 253, i32 62, i32 126, i32 190, i32 254, i32 63, i32 127, i32 191, i32 255>
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store <256 x i8> %interleaved, <256 x i8>* %p
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ret void
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}
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