[InstCombine] Signed saturation patterns
[llvm-core.git] / lib / Target / X86 / X86InterleavedAccess.cpp
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1 //===- X86InterleavedAccess.cpp -------------------------------------------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 //
9 /// \file
10 /// This file contains the X86 implementation of the interleaved accesses
11 /// optimization generating X86-specific instructions/intrinsics for
12 /// interleaved access groups.
14 //===----------------------------------------------------------------------===//
16 #include "X86ISelLowering.h"
17 #include "X86Subtarget.h"
18 #include "llvm/ADT/ArrayRef.h"
19 #include "llvm/ADT/SmallVector.h"
20 #include "llvm/Analysis/VectorUtils.h"
21 #include "llvm/IR/Constants.h"
22 #include "llvm/IR/DataLayout.h"
23 #include "llvm/IR/DerivedTypes.h"
24 #include "llvm/IR/IRBuilder.h"
25 #include "llvm/IR/Instruction.h"
26 #include "llvm/IR/Instructions.h"
27 #include "llvm/IR/Module.h"
28 #include "llvm/IR/Type.h"
29 #include "llvm/IR/Value.h"
30 #include "llvm/Support/Casting.h"
31 #include "llvm/Support/MachineValueType.h"
32 #include <algorithm>
33 #include <cassert>
34 #include <cmath>
35 #include <cstdint>
37 using namespace llvm;
39 namespace {
41 /// This class holds necessary information to represent an interleaved
42 /// access group and supports utilities to lower the group into
43 /// X86-specific instructions/intrinsics.
44 /// E.g. A group of interleaving access loads (Factor = 2; accessing every
45 /// other element)
46 /// %wide.vec = load <8 x i32>, <8 x i32>* %ptr
47 /// %v0 = shuffle <8 x i32> %wide.vec, <8 x i32> undef, <0, 2, 4, 6>
48 /// %v1 = shuffle <8 x i32> %wide.vec, <8 x i32> undef, <1, 3, 5, 7>
49 class X86InterleavedAccessGroup {
50 /// Reference to the wide-load instruction of an interleaved access
51 /// group.
52 Instruction *const Inst;
54 /// Reference to the shuffle(s), consumer(s) of the (load) 'Inst'.
55 ArrayRef<ShuffleVectorInst *> Shuffles;
57 /// Reference to the starting index of each user-shuffle.
58 ArrayRef<unsigned> Indices;
60 /// Reference to the interleaving stride in terms of elements.
61 const unsigned Factor;
63 /// Reference to the underlying target.
64 const X86Subtarget &Subtarget;
66 const DataLayout &DL;
68 IRBuilder<> &Builder;
70 /// Breaks down a vector \p 'Inst' of N elements into \p NumSubVectors
71 /// sub vectors of type \p T. Returns the sub-vectors in \p DecomposedVectors.
72 void decompose(Instruction *Inst, unsigned NumSubVectors, VectorType *T,
73 SmallVectorImpl<Instruction *> &DecomposedVectors);
75 /// Performs matrix transposition on a 4x4 matrix \p InputVectors and
76 /// returns the transposed-vectors in \p TransposedVectors.
77 /// E.g.
78 /// InputVectors:
79 /// In-V0 = p1, p2, p3, p4
80 /// In-V1 = q1, q2, q3, q4
81 /// In-V2 = r1, r2, r3, r4
82 /// In-V3 = s1, s2, s3, s4
83 /// OutputVectors:
84 /// Out-V0 = p1, q1, r1, s1
85 /// Out-V1 = p2, q2, r2, s2
86 /// Out-V2 = p3, q3, r3, s3
87 /// Out-V3 = P4, q4, r4, s4
88 void transpose_4x4(ArrayRef<Instruction *> InputVectors,
89 SmallVectorImpl<Value *> &TransposedMatrix);
90 void interleave8bitStride4(ArrayRef<Instruction *> InputVectors,
91 SmallVectorImpl<Value *> &TransposedMatrix,
92 unsigned NumSubVecElems);
93 void interleave8bitStride4VF8(ArrayRef<Instruction *> InputVectors,
94 SmallVectorImpl<Value *> &TransposedMatrix);
95 void interleave8bitStride3(ArrayRef<Instruction *> InputVectors,
96 SmallVectorImpl<Value *> &TransposedMatrix,
97 unsigned NumSubVecElems);
98 void deinterleave8bitStride3(ArrayRef<Instruction *> InputVectors,
99 SmallVectorImpl<Value *> &TransposedMatrix,
100 unsigned NumSubVecElems);
102 public:
103 /// In order to form an interleaved access group X86InterleavedAccessGroup
104 /// requires a wide-load instruction \p 'I', a group of interleaved-vectors
105 /// \p Shuffs, reference to the first indices of each interleaved-vector
106 /// \p 'Ind' and the interleaving stride factor \p F. In order to generate
107 /// X86-specific instructions/intrinsics it also requires the underlying
108 /// target information \p STarget.
109 explicit X86InterleavedAccessGroup(Instruction *I,
110 ArrayRef<ShuffleVectorInst *> Shuffs,
111 ArrayRef<unsigned> Ind, const unsigned F,
112 const X86Subtarget &STarget,
113 IRBuilder<> &B)
114 : Inst(I), Shuffles(Shuffs), Indices(Ind), Factor(F), Subtarget(STarget),
115 DL(Inst->getModule()->getDataLayout()), Builder(B) {}
117 /// Returns true if this interleaved access group can be lowered into
118 /// x86-specific instructions/intrinsics, false otherwise.
119 bool isSupported() const;
121 /// Lowers this interleaved access group into X86-specific
122 /// instructions/intrinsics.
123 bool lowerIntoOptimizedSequence();
126 } // end anonymous namespace
128 bool X86InterleavedAccessGroup::isSupported() const {
129 VectorType *ShuffleVecTy = Shuffles[0]->getType();
130 Type *ShuffleEltTy = ShuffleVecTy->getVectorElementType();
131 unsigned ShuffleElemSize = DL.getTypeSizeInBits(ShuffleEltTy);
132 unsigned WideInstSize;
134 // Currently, lowering is supported for the following vectors:
135 // Stride 4:
136 // 1. Store and load of 4-element vectors of 64 bits on AVX.
137 // 2. Store of 16/32-element vectors of 8 bits on AVX.
138 // Stride 3:
139 // 1. Load of 16/32-element vectors of 8 bits on AVX.
140 if (!Subtarget.hasAVX() || (Factor != 4 && Factor != 3))
141 return false;
143 if (isa<LoadInst>(Inst)) {
144 WideInstSize = DL.getTypeSizeInBits(Inst->getType());
145 if (cast<LoadInst>(Inst)->getPointerAddressSpace())
146 return false;
147 } else
148 WideInstSize = DL.getTypeSizeInBits(Shuffles[0]->getType());
150 // We support shuffle represents stride 4 for byte type with size of
151 // WideInstSize.
152 if (ShuffleElemSize == 64 && WideInstSize == 1024 && Factor == 4)
153 return true;
155 if (ShuffleElemSize == 8 && isa<StoreInst>(Inst) && Factor == 4 &&
156 (WideInstSize == 256 || WideInstSize == 512 || WideInstSize == 1024 ||
157 WideInstSize == 2048))
158 return true;
160 if (ShuffleElemSize == 8 && Factor == 3 &&
161 (WideInstSize == 384 || WideInstSize == 768 || WideInstSize == 1536))
162 return true;
164 return false;
167 void X86InterleavedAccessGroup::decompose(
168 Instruction *VecInst, unsigned NumSubVectors, VectorType *SubVecTy,
169 SmallVectorImpl<Instruction *> &DecomposedVectors) {
170 assert((isa<LoadInst>(VecInst) || isa<ShuffleVectorInst>(VecInst)) &&
171 "Expected Load or Shuffle");
173 Type *VecWidth = VecInst->getType();
174 (void)VecWidth;
175 assert(VecWidth->isVectorTy() &&
176 DL.getTypeSizeInBits(VecWidth) >=
177 DL.getTypeSizeInBits(SubVecTy) * NumSubVectors &&
178 "Invalid Inst-size!!!");
180 if (auto *SVI = dyn_cast<ShuffleVectorInst>(VecInst)) {
181 Value *Op0 = SVI->getOperand(0);
182 Value *Op1 = SVI->getOperand(1);
184 // Generate N(= NumSubVectors) shuffles of T(= SubVecTy) type.
185 for (unsigned i = 0; i < NumSubVectors; ++i)
186 DecomposedVectors.push_back(
187 cast<ShuffleVectorInst>(Builder.CreateShuffleVector(
188 Op0, Op1,
189 createSequentialMask(Builder, Indices[i],
190 SubVecTy->getVectorNumElements(), 0))));
191 return;
194 // Decompose the load instruction.
195 LoadInst *LI = cast<LoadInst>(VecInst);
196 Type *VecBaseTy, *VecBasePtrTy;
197 Value *VecBasePtr;
198 unsigned int NumLoads = NumSubVectors;
199 // In the case of stride 3 with a vector of 32 elements load the information
200 // in the following way:
201 // [0,1...,VF/2-1,VF/2+VF,VF/2+VF+1,...,2VF-1]
202 unsigned VecLength = DL.getTypeSizeInBits(VecWidth);
203 if (VecLength == 768 || VecLength == 1536) {
204 VecBaseTy = VectorType::get(Type::getInt8Ty(LI->getContext()), 16);
205 VecBasePtrTy = VecBaseTy->getPointerTo(LI->getPointerAddressSpace());
206 VecBasePtr = Builder.CreateBitCast(LI->getPointerOperand(), VecBasePtrTy);
207 NumLoads = NumSubVectors * (VecLength / 384);
208 } else {
209 VecBaseTy = SubVecTy;
210 VecBasePtrTy = VecBaseTy->getPointerTo(LI->getPointerAddressSpace());
211 VecBasePtr = Builder.CreateBitCast(LI->getPointerOperand(), VecBasePtrTy);
213 // Generate N loads of T type.
214 for (unsigned i = 0; i < NumLoads; i++) {
215 // TODO: Support inbounds GEP.
216 Value *NewBasePtr =
217 Builder.CreateGEP(VecBaseTy, VecBasePtr, Builder.getInt32(i));
218 Instruction *NewLoad =
219 Builder.CreateAlignedLoad(VecBaseTy, NewBasePtr, LI->getAlignment());
220 DecomposedVectors.push_back(NewLoad);
224 // Changing the scale of the vector type by reducing the number of elements and
225 // doubling the scalar size.
226 static MVT scaleVectorType(MVT VT) {
227 unsigned ScalarSize = VT.getVectorElementType().getScalarSizeInBits() * 2;
228 return MVT::getVectorVT(MVT::getIntegerVT(ScalarSize),
229 VT.getVectorNumElements() / 2);
232 static uint32_t Concat[] = {
233 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
234 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
235 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
236 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 };
238 // genShuffleBland - Creates shuffle according to two vectors.This function is
239 // only works on instructions with lane inside 256 registers. According to
240 // the mask 'Mask' creates a new Mask 'Out' by the offset of the mask. The
241 // offset amount depends on the two integer, 'LowOffset' and 'HighOffset'.
242 // Where the 'LowOffset' refers to the first vector and the highOffset refers to
243 // the second vector.
244 // |a0....a5,b0....b4,c0....c4|a16..a21,b16..b20,c16..c20|
245 // |c5...c10,a5....a9,b5....b9|c21..c26,a22..a26,b21..b25|
246 // |b10..b15,c11..c15,a10..a15|b26..b31,c27..c31,a27..a31|
247 // For the sequence to work as a mirror to the load.
248 // We must consider the elements order as above.
249 // In this function we are combining two types of shuffles.
250 // The first one is vpshufed and the second is a type of "blend" shuffle.
251 // By computing the shuffle on a sequence of 16 elements(one lane) and add the
252 // correct offset. We are creating a vpsuffed + blend sequence between two
253 // shuffles.
254 static void genShuffleBland(MVT VT, ArrayRef<uint32_t> Mask,
255 SmallVectorImpl<uint32_t> &Out, int LowOffset,
256 int HighOffset) {
257 assert(VT.getSizeInBits() >= 256 &&
258 "This function doesn't accept width smaller then 256");
259 unsigned NumOfElm = VT.getVectorNumElements();
260 for (unsigned i = 0; i < Mask.size(); i++)
261 Out.push_back(Mask[i] + LowOffset);
262 for (unsigned i = 0; i < Mask.size(); i++)
263 Out.push_back(Mask[i] + HighOffset + NumOfElm);
266 // reorderSubVector returns the data to is the original state. And de-facto is
267 // the opposite of the function concatSubVector.
269 // For VecElems = 16
270 // Invec[0] - |0| TransposedMatrix[0] - |0|
271 // Invec[1] - |1| => TransposedMatrix[1] - |1|
272 // Invec[2] - |2| TransposedMatrix[2] - |2|
274 // For VecElems = 32
275 // Invec[0] - |0|3| TransposedMatrix[0] - |0|1|
276 // Invec[1] - |1|4| => TransposedMatrix[1] - |2|3|
277 // Invec[2] - |2|5| TransposedMatrix[2] - |4|5|
279 // For VecElems = 64
280 // Invec[0] - |0|3|6|9 | TransposedMatrix[0] - |0|1|2 |3 |
281 // Invec[1] - |1|4|7|10| => TransposedMatrix[1] - |4|5|6 |7 |
282 // Invec[2] - |2|5|8|11| TransposedMatrix[2] - |8|9|10|11|
284 static void reorderSubVector(MVT VT, SmallVectorImpl<Value *> &TransposedMatrix,
285 ArrayRef<Value *> Vec, ArrayRef<uint32_t> VPShuf,
286 unsigned VecElems, unsigned Stride,
287 IRBuilder<> Builder) {
289 if (VecElems == 16) {
290 for (unsigned i = 0; i < Stride; i++)
291 TransposedMatrix[i] = Builder.CreateShuffleVector(
292 Vec[i], UndefValue::get(Vec[i]->getType()), VPShuf);
293 return;
296 SmallVector<uint32_t, 32> OptimizeShuf;
297 Value *Temp[8];
299 for (unsigned i = 0; i < (VecElems / 16) * Stride; i += 2) {
300 genShuffleBland(VT, VPShuf, OptimizeShuf, (i / Stride) * 16,
301 (i + 1) / Stride * 16);
302 Temp[i / 2] = Builder.CreateShuffleVector(
303 Vec[i % Stride], Vec[(i + 1) % Stride], OptimizeShuf);
304 OptimizeShuf.clear();
307 if (VecElems == 32) {
308 std::copy(Temp, Temp + Stride, TransposedMatrix.begin());
309 return;
311 else
312 for (unsigned i = 0; i < Stride; i++)
313 TransposedMatrix[i] =
314 Builder.CreateShuffleVector(Temp[2 * i], Temp[2 * i + 1], Concat);
317 void X86InterleavedAccessGroup::interleave8bitStride4VF8(
318 ArrayRef<Instruction *> Matrix,
319 SmallVectorImpl<Value *> &TransposedMatrix) {
320 // Assuming we start from the following vectors:
321 // Matrix[0]= c0 c1 c2 c3 c4 ... c7
322 // Matrix[1]= m0 m1 m2 m3 m4 ... m7
323 // Matrix[2]= y0 y1 y2 y3 y4 ... y7
324 // Matrix[3]= k0 k1 k2 k3 k4 ... k7
326 MVT VT = MVT::v8i16;
327 TransposedMatrix.resize(2);
328 SmallVector<uint32_t, 16> MaskLow;
329 SmallVector<uint32_t, 32> MaskLowTemp1, MaskLowWord;
330 SmallVector<uint32_t, 32> MaskHighTemp1, MaskHighWord;
332 for (unsigned i = 0; i < 8; ++i) {
333 MaskLow.push_back(i);
334 MaskLow.push_back(i + 8);
337 createUnpackShuffleMask<uint32_t>(VT, MaskLowTemp1, true, false);
338 createUnpackShuffleMask<uint32_t>(VT, MaskHighTemp1, false, false);
339 scaleShuffleMask<uint32_t>(2, MaskHighTemp1, MaskHighWord);
340 scaleShuffleMask<uint32_t>(2, MaskLowTemp1, MaskLowWord);
341 // IntrVec1Low = c0 m0 c1 m1 c2 m2 c3 m3 c4 m4 c5 m5 c6 m6 c7 m7
342 // IntrVec2Low = y0 k0 y1 k1 y2 k2 y3 k3 y4 k4 y5 k5 y6 k6 y7 k7
343 Value *IntrVec1Low =
344 Builder.CreateShuffleVector(Matrix[0], Matrix[1], MaskLow);
345 Value *IntrVec2Low =
346 Builder.CreateShuffleVector(Matrix[2], Matrix[3], MaskLow);
348 // TransposedMatrix[0] = c0 m0 y0 k0 c1 m1 y1 k1 c2 m2 y2 k2 c3 m3 y3 k3
349 // TransposedMatrix[1] = c4 m4 y4 k4 c5 m5 y5 k5 c6 m6 y6 k6 c7 m7 y7 k7
351 TransposedMatrix[0] =
352 Builder.CreateShuffleVector(IntrVec1Low, IntrVec2Low, MaskLowWord);
353 TransposedMatrix[1] =
354 Builder.CreateShuffleVector(IntrVec1Low, IntrVec2Low, MaskHighWord);
357 void X86InterleavedAccessGroup::interleave8bitStride4(
358 ArrayRef<Instruction *> Matrix, SmallVectorImpl<Value *> &TransposedMatrix,
359 unsigned NumOfElm) {
360 // Example: Assuming we start from the following vectors:
361 // Matrix[0]= c0 c1 c2 c3 c4 ... c31
362 // Matrix[1]= m0 m1 m2 m3 m4 ... m31
363 // Matrix[2]= y0 y1 y2 y3 y4 ... y31
364 // Matrix[3]= k0 k1 k2 k3 k4 ... k31
366 MVT VT = MVT::getVectorVT(MVT::i8, NumOfElm);
367 MVT HalfVT = scaleVectorType(VT);
369 TransposedMatrix.resize(4);
370 SmallVector<uint32_t, 32> MaskHigh;
371 SmallVector<uint32_t, 32> MaskLow;
372 SmallVector<uint32_t, 32> LowHighMask[2];
373 SmallVector<uint32_t, 32> MaskHighTemp;
374 SmallVector<uint32_t, 32> MaskLowTemp;
376 // MaskHighTemp and MaskLowTemp built in the vpunpckhbw and vpunpcklbw X86
377 // shuffle pattern.
379 createUnpackShuffleMask<uint32_t>(VT, MaskLow, true, false);
380 createUnpackShuffleMask<uint32_t>(VT, MaskHigh, false, false);
382 // MaskHighTemp1 and MaskLowTemp1 built in the vpunpckhdw and vpunpckldw X86
383 // shuffle pattern.
385 createUnpackShuffleMask<uint32_t>(HalfVT, MaskLowTemp, true, false);
386 createUnpackShuffleMask<uint32_t>(HalfVT, MaskHighTemp, false, false);
387 scaleShuffleMask<uint32_t>(2, MaskLowTemp, LowHighMask[0]);
388 scaleShuffleMask<uint32_t>(2, MaskHighTemp, LowHighMask[1]);
390 // IntrVec1Low = c0 m0 c1 m1 ... c7 m7 | c16 m16 c17 m17 ... c23 m23
391 // IntrVec1High = c8 m8 c9 m9 ... c15 m15 | c24 m24 c25 m25 ... c31 m31
392 // IntrVec2Low = y0 k0 y1 k1 ... y7 k7 | y16 k16 y17 k17 ... y23 k23
393 // IntrVec2High = y8 k8 y9 k9 ... y15 k15 | y24 k24 y25 k25 ... y31 k31
394 Value *IntrVec[4];
396 IntrVec[0] = Builder.CreateShuffleVector(Matrix[0], Matrix[1], MaskLow);
397 IntrVec[1] = Builder.CreateShuffleVector(Matrix[0], Matrix[1], MaskHigh);
398 IntrVec[2] = Builder.CreateShuffleVector(Matrix[2], Matrix[3], MaskLow);
399 IntrVec[3] = Builder.CreateShuffleVector(Matrix[2], Matrix[3], MaskHigh);
401 // cmyk4 cmyk5 cmyk6 cmyk7 | cmyk20 cmyk21 cmyk22 cmyk23
402 // cmyk12 cmyk13 cmyk14 cmyk15 | cmyk28 cmyk29 cmyk30 cmyk31
403 // cmyk0 cmyk1 cmyk2 cmyk3 | cmyk16 cmyk17 cmyk18 cmyk19
404 // cmyk8 cmyk9 cmyk10 cmyk11 | cmyk24 cmyk25 cmyk26 cmyk27
406 Value *VecOut[4];
407 for (int i = 0; i < 4; i++)
408 VecOut[i] = Builder.CreateShuffleVector(IntrVec[i / 2], IntrVec[i / 2 + 2],
409 LowHighMask[i % 2]);
411 // cmyk0 cmyk1 cmyk2 cmyk3 | cmyk4 cmyk5 cmyk6 cmyk7
412 // cmyk8 cmyk9 cmyk10 cmyk11 | cmyk12 cmyk13 cmyk14 cmyk15
413 // cmyk16 cmyk17 cmyk18 cmyk19 | cmyk20 cmyk21 cmyk22 cmyk23
414 // cmyk24 cmyk25 cmyk26 cmyk27 | cmyk28 cmyk29 cmyk30 cmyk31
416 if (VT == MVT::v16i8) {
417 std::copy(VecOut, VecOut + 4, TransposedMatrix.begin());
418 return;
421 reorderSubVector(VT, TransposedMatrix, VecOut, makeArrayRef(Concat, 16),
422 NumOfElm, 4, Builder);
425 // createShuffleStride returns shuffle mask of size N.
426 // The shuffle pattern is as following :
427 // {0, Stride%(VF/Lane), (2*Stride%(VF/Lane))...(VF*Stride/Lane)%(VF/Lane),
428 // (VF/ Lane) ,(VF / Lane)+Stride%(VF/Lane),...,
429 // (VF / Lane)+(VF*Stride/Lane)%(VF/Lane)}
430 // Where Lane is the # of lanes in a register:
431 // VectorSize = 128 => Lane = 1
432 // VectorSize = 256 => Lane = 2
433 // For example shuffle pattern for VF 16 register size 256 -> lanes = 2
434 // {<[0|3|6|1|4|7|2|5]-[8|11|14|9|12|15|10|13]>}
435 static void createShuffleStride(MVT VT, int Stride,
436 SmallVectorImpl<uint32_t> &Mask) {
437 int VectorSize = VT.getSizeInBits();
438 int VF = VT.getVectorNumElements();
439 int LaneCount = std::max(VectorSize / 128, 1);
440 for (int Lane = 0; Lane < LaneCount; Lane++)
441 for (int i = 0, LaneSize = VF / LaneCount; i != LaneSize; ++i)
442 Mask.push_back((i * Stride) % LaneSize + LaneSize * Lane);
445 // setGroupSize sets 'SizeInfo' to the size(number of elements) of group
446 // inside mask a shuffleMask. A mask contains exactly 3 groups, where
447 // each group is a monotonically increasing sequence with stride 3.
448 // For example shuffleMask {0,3,6,1,4,7,2,5} => {3,3,2}
449 static void setGroupSize(MVT VT, SmallVectorImpl<uint32_t> &SizeInfo) {
450 int VectorSize = VT.getSizeInBits();
451 int VF = VT.getVectorNumElements() / std::max(VectorSize / 128, 1);
452 for (int i = 0, FirstGroupElement = 0; i < 3; i++) {
453 int GroupSize = std::ceil((VF - FirstGroupElement) / 3.0);
454 SizeInfo.push_back(GroupSize);
455 FirstGroupElement = ((GroupSize)*3 + FirstGroupElement) % VF;
459 // DecodePALIGNRMask returns the shuffle mask of vpalign instruction.
460 // vpalign works according to lanes
461 // Where Lane is the # of lanes in a register:
462 // VectorWide = 128 => Lane = 1
463 // VectorWide = 256 => Lane = 2
464 // For Lane = 1 shuffle pattern is: {DiffToJump,...,DiffToJump+VF-1}.
465 // For Lane = 2 shuffle pattern is:
466 // {DiffToJump,...,VF/2-1,VF,...,DiffToJump+VF-1}.
467 // Imm variable sets the offset amount. The result of the
468 // function is stored inside ShuffleMask vector and it built as described in
469 // the begin of the description. AlignDirection is a boolean that indicates the
470 // direction of the alignment. (false - align to the "right" side while true -
471 // align to the "left" side)
472 static void DecodePALIGNRMask(MVT VT, unsigned Imm,
473 SmallVectorImpl<uint32_t> &ShuffleMask,
474 bool AlignDirection = true, bool Unary = false) {
475 unsigned NumElts = VT.getVectorNumElements();
476 unsigned NumLanes = std::max((int)VT.getSizeInBits() / 128, 1);
477 unsigned NumLaneElts = NumElts / NumLanes;
479 Imm = AlignDirection ? Imm : (NumLaneElts - Imm);
480 unsigned Offset = Imm * (VT.getScalarSizeInBits() / 8);
482 for (unsigned l = 0; l != NumElts; l += NumLaneElts) {
483 for (unsigned i = 0; i != NumLaneElts; ++i) {
484 unsigned Base = i + Offset;
485 // if i+offset is out of this lane then we actually need the other source
486 // If Unary the other source is the first source.
487 if (Base >= NumLaneElts)
488 Base = Unary ? Base % NumLaneElts : Base + NumElts - NumLaneElts;
489 ShuffleMask.push_back(Base + l);
494 // concatSubVector - The function rebuilds the data to a correct expected
495 // order. An assumption(The shape of the matrix) was taken for the
496 // deinterleaved to work with lane's instructions like 'vpalign' or 'vphuf'.
497 // This function ensures that the data is built in correct way for the lane
498 // instructions. Each lane inside the vector is a 128-bit length.
500 // The 'InVec' argument contains the data in increasing order. In InVec[0] You
501 // can find the first 128 bit data. The number of different lanes inside a
502 // vector depends on the 'VecElems'.In general, the formula is
503 // VecElems * type / 128. The size of the array 'InVec' depends and equal to
504 // 'VecElems'.
506 // For VecElems = 16
507 // Invec[0] - |0| Vec[0] - |0|
508 // Invec[1] - |1| => Vec[1] - |1|
509 // Invec[2] - |2| Vec[2] - |2|
511 // For VecElems = 32
512 // Invec[0] - |0|1| Vec[0] - |0|3|
513 // Invec[1] - |2|3| => Vec[1] - |1|4|
514 // Invec[2] - |4|5| Vec[2] - |2|5|
516 // For VecElems = 64
517 // Invec[0] - |0|1|2 |3 | Vec[0] - |0|3|6|9 |
518 // Invec[1] - |4|5|6 |7 | => Vec[1] - |1|4|7|10|
519 // Invec[2] - |8|9|10|11| Vec[2] - |2|5|8|11|
521 static void concatSubVector(Value **Vec, ArrayRef<Instruction *> InVec,
522 unsigned VecElems, IRBuilder<> Builder) {
523 if (VecElems == 16) {
524 for (int i = 0; i < 3; i++)
525 Vec[i] = InVec[i];
526 return;
529 for (unsigned j = 0; j < VecElems / 32; j++)
530 for (int i = 0; i < 3; i++)
531 Vec[i + j * 3] = Builder.CreateShuffleVector(
532 InVec[j * 6 + i], InVec[j * 6 + i + 3], makeArrayRef(Concat, 32));
534 if (VecElems == 32)
535 return;
537 for (int i = 0; i < 3; i++)
538 Vec[i] = Builder.CreateShuffleVector(Vec[i], Vec[i + 3], Concat);
541 void X86InterleavedAccessGroup::deinterleave8bitStride3(
542 ArrayRef<Instruction *> InVec, SmallVectorImpl<Value *> &TransposedMatrix,
543 unsigned VecElems) {
544 // Example: Assuming we start from the following vectors:
545 // Matrix[0]= a0 b0 c0 a1 b1 c1 a2 b2
546 // Matrix[1]= c2 a3 b3 c3 a4 b4 c4 a5
547 // Matrix[2]= b5 c5 a6 b6 c6 a7 b7 c7
549 TransposedMatrix.resize(3);
550 SmallVector<uint32_t, 32> VPShuf;
551 SmallVector<uint32_t, 32> VPAlign[2];
552 SmallVector<uint32_t, 32> VPAlign2;
553 SmallVector<uint32_t, 32> VPAlign3;
554 SmallVector<uint32_t, 3> GroupSize;
555 Value *Vec[6], *TempVector[3];
557 MVT VT = MVT::getVT(Shuffles[0]->getType());
559 createShuffleStride(VT, 3, VPShuf);
560 setGroupSize(VT, GroupSize);
562 for (int i = 0; i < 2; i++)
563 DecodePALIGNRMask(VT, GroupSize[2 - i], VPAlign[i], false);
565 DecodePALIGNRMask(VT, GroupSize[2] + GroupSize[1], VPAlign2, true, true);
566 DecodePALIGNRMask(VT, GroupSize[1], VPAlign3, true, true);
568 concatSubVector(Vec, InVec, VecElems, Builder);
569 // Vec[0]= a0 a1 a2 b0 b1 b2 c0 c1
570 // Vec[1]= c2 c3 c4 a3 a4 a5 b3 b4
571 // Vec[2]= b5 b6 b7 c5 c6 c7 a6 a7
573 for (int i = 0; i < 3; i++)
574 Vec[i] = Builder.CreateShuffleVector(
575 Vec[i], UndefValue::get(Vec[0]->getType()), VPShuf);
577 // TempVector[0]= a6 a7 a0 a1 a2 b0 b1 b2
578 // TempVector[1]= c0 c1 c2 c3 c4 a3 a4 a5
579 // TempVector[2]= b3 b4 b5 b6 b7 c5 c6 c7
581 for (int i = 0; i < 3; i++)
582 TempVector[i] =
583 Builder.CreateShuffleVector(Vec[(i + 2) % 3], Vec[i], VPAlign[0]);
585 // Vec[0]= a3 a4 a5 a6 a7 a0 a1 a2
586 // Vec[1]= c5 c6 c7 c0 c1 c2 c3 c4
587 // Vec[2]= b0 b1 b2 b3 b4 b5 b6 b7
589 for (int i = 0; i < 3; i++)
590 Vec[i] = Builder.CreateShuffleVector(TempVector[(i + 1) % 3], TempVector[i],
591 VPAlign[1]);
593 // TransposedMatrix[0]= a0 a1 a2 a3 a4 a5 a6 a7
594 // TransposedMatrix[1]= b0 b1 b2 b3 b4 b5 b6 b7
595 // TransposedMatrix[2]= c0 c1 c2 c3 c4 c5 c6 c7
597 Value *TempVec = Builder.CreateShuffleVector(
598 Vec[1], UndefValue::get(Vec[1]->getType()), VPAlign3);
599 TransposedMatrix[0] = Builder.CreateShuffleVector(
600 Vec[0], UndefValue::get(Vec[1]->getType()), VPAlign2);
601 TransposedMatrix[1] = VecElems == 8 ? Vec[2] : TempVec;
602 TransposedMatrix[2] = VecElems == 8 ? TempVec : Vec[2];
605 // group2Shuffle reorder the shuffle stride back into continuous order.
606 // For example For VF16 with Mask1 = {0,3,6,9,12,15,2,5,8,11,14,1,4,7,10,13} =>
607 // MaskResult = {0,11,6,1,12,7,2,13,8,3,14,9,4,15,10,5}.
608 static void group2Shuffle(MVT VT, SmallVectorImpl<uint32_t> &Mask,
609 SmallVectorImpl<uint32_t> &Output) {
610 int IndexGroup[3] = {0, 0, 0};
611 int Index = 0;
612 int VectorWidth = VT.getSizeInBits();
613 int VF = VT.getVectorNumElements();
614 // Find the index of the different groups.
615 int Lane = (VectorWidth / 128 > 0) ? VectorWidth / 128 : 1;
616 for (int i = 0; i < 3; i++) {
617 IndexGroup[(Index * 3) % (VF / Lane)] = Index;
618 Index += Mask[i];
620 // According to the index compute the convert mask.
621 for (int i = 0; i < VF / Lane; i++) {
622 Output.push_back(IndexGroup[i % 3]);
623 IndexGroup[i % 3]++;
627 void X86InterleavedAccessGroup::interleave8bitStride3(
628 ArrayRef<Instruction *> InVec, SmallVectorImpl<Value *> &TransposedMatrix,
629 unsigned VecElems) {
630 // Example: Assuming we start from the following vectors:
631 // Matrix[0]= a0 a1 a2 a3 a4 a5 a6 a7
632 // Matrix[1]= b0 b1 b2 b3 b4 b5 b6 b7
633 // Matrix[2]= c0 c1 c2 c3 c3 a7 b7 c7
635 TransposedMatrix.resize(3);
636 SmallVector<uint32_t, 3> GroupSize;
637 SmallVector<uint32_t, 32> VPShuf;
638 SmallVector<uint32_t, 32> VPAlign[3];
639 SmallVector<uint32_t, 32> VPAlign2;
640 SmallVector<uint32_t, 32> VPAlign3;
642 Value *Vec[3], *TempVector[3];
643 MVT VT = MVT::getVectorVT(MVT::i8, VecElems);
645 setGroupSize(VT, GroupSize);
647 for (int i = 0; i < 3; i++)
648 DecodePALIGNRMask(VT, GroupSize[i], VPAlign[i]);
650 DecodePALIGNRMask(VT, GroupSize[1] + GroupSize[2], VPAlign2, false, true);
651 DecodePALIGNRMask(VT, GroupSize[1], VPAlign3, false, true);
653 // Vec[0]= a3 a4 a5 a6 a7 a0 a1 a2
654 // Vec[1]= c5 c6 c7 c0 c1 c2 c3 c4
655 // Vec[2]= b0 b1 b2 b3 b4 b5 b6 b7
657 Vec[0] = Builder.CreateShuffleVector(
658 InVec[0], UndefValue::get(InVec[0]->getType()), VPAlign2);
659 Vec[1] = Builder.CreateShuffleVector(
660 InVec[1], UndefValue::get(InVec[1]->getType()), VPAlign3);
661 Vec[2] = InVec[2];
663 // Vec[0]= a6 a7 a0 a1 a2 b0 b1 b2
664 // Vec[1]= c0 c1 c2 c3 c4 a3 a4 a5
665 // Vec[2]= b3 b4 b5 b6 b7 c5 c6 c7
667 for (int i = 0; i < 3; i++)
668 TempVector[i] =
669 Builder.CreateShuffleVector(Vec[i], Vec[(i + 2) % 3], VPAlign[1]);
671 // Vec[0]= a0 a1 a2 b0 b1 b2 c0 c1
672 // Vec[1]= c2 c3 c4 a3 a4 a5 b3 b4
673 // Vec[2]= b5 b6 b7 c5 c6 c7 a6 a7
675 for (int i = 0; i < 3; i++)
676 Vec[i] = Builder.CreateShuffleVector(TempVector[i], TempVector[(i + 1) % 3],
677 VPAlign[2]);
679 // TransposedMatrix[0] = a0 b0 c0 a1 b1 c1 a2 b2
680 // TransposedMatrix[1] = c2 a3 b3 c3 a4 b4 c4 a5
681 // TransposedMatrix[2] = b5 c5 a6 b6 c6 a7 b7 c7
683 unsigned NumOfElm = VT.getVectorNumElements();
684 group2Shuffle(VT, GroupSize, VPShuf);
685 reorderSubVector(VT, TransposedMatrix, Vec, VPShuf, NumOfElm,3, Builder);
688 void X86InterleavedAccessGroup::transpose_4x4(
689 ArrayRef<Instruction *> Matrix,
690 SmallVectorImpl<Value *> &TransposedMatrix) {
691 assert(Matrix.size() == 4 && "Invalid matrix size");
692 TransposedMatrix.resize(4);
694 // dst = src1[0,1],src2[0,1]
695 uint32_t IntMask1[] = {0, 1, 4, 5};
696 ArrayRef<uint32_t> Mask = makeArrayRef(IntMask1, 4);
697 Value *IntrVec1 = Builder.CreateShuffleVector(Matrix[0], Matrix[2], Mask);
698 Value *IntrVec2 = Builder.CreateShuffleVector(Matrix[1], Matrix[3], Mask);
700 // dst = src1[2,3],src2[2,3]
701 uint32_t IntMask2[] = {2, 3, 6, 7};
702 Mask = makeArrayRef(IntMask2, 4);
703 Value *IntrVec3 = Builder.CreateShuffleVector(Matrix[0], Matrix[2], Mask);
704 Value *IntrVec4 = Builder.CreateShuffleVector(Matrix[1], Matrix[3], Mask);
706 // dst = src1[0],src2[0],src1[2],src2[2]
707 uint32_t IntMask3[] = {0, 4, 2, 6};
708 Mask = makeArrayRef(IntMask3, 4);
709 TransposedMatrix[0] = Builder.CreateShuffleVector(IntrVec1, IntrVec2, Mask);
710 TransposedMatrix[2] = Builder.CreateShuffleVector(IntrVec3, IntrVec4, Mask);
712 // dst = src1[1],src2[1],src1[3],src2[3]
713 uint32_t IntMask4[] = {1, 5, 3, 7};
714 Mask = makeArrayRef(IntMask4, 4);
715 TransposedMatrix[1] = Builder.CreateShuffleVector(IntrVec1, IntrVec2, Mask);
716 TransposedMatrix[3] = Builder.CreateShuffleVector(IntrVec3, IntrVec4, Mask);
719 // Lowers this interleaved access group into X86-specific
720 // instructions/intrinsics.
721 bool X86InterleavedAccessGroup::lowerIntoOptimizedSequence() {
722 SmallVector<Instruction *, 4> DecomposedVectors;
723 SmallVector<Value *, 4> TransposedVectors;
724 VectorType *ShuffleTy = Shuffles[0]->getType();
726 if (isa<LoadInst>(Inst)) {
727 // Try to generate target-sized register(/instruction).
728 decompose(Inst, Factor, ShuffleTy, DecomposedVectors);
730 Type *ShuffleEltTy = Inst->getType();
731 unsigned NumSubVecElems = ShuffleEltTy->getVectorNumElements() / Factor;
732 // Perform matrix-transposition in order to compute interleaved
733 // results by generating some sort of (optimized) target-specific
734 // instructions.
736 switch (NumSubVecElems) {
737 default:
738 return false;
739 case 4:
740 transpose_4x4(DecomposedVectors, TransposedVectors);
741 break;
742 case 8:
743 case 16:
744 case 32:
745 case 64:
746 deinterleave8bitStride3(DecomposedVectors, TransposedVectors,
747 NumSubVecElems);
748 break;
751 // Now replace the unoptimized-interleaved-vectors with the
752 // transposed-interleaved vectors.
753 for (unsigned i = 0, e = Shuffles.size(); i < e; ++i)
754 Shuffles[i]->replaceAllUsesWith(TransposedVectors[Indices[i]]);
756 return true;
759 Type *ShuffleEltTy = ShuffleTy->getVectorElementType();
760 unsigned NumSubVecElems = ShuffleTy->getVectorNumElements() / Factor;
762 // Lower the interleaved stores:
763 // 1. Decompose the interleaved wide shuffle into individual shuffle
764 // vectors.
765 decompose(Shuffles[0], Factor, VectorType::get(ShuffleEltTy, NumSubVecElems),
766 DecomposedVectors);
768 // 2. Transpose the interleaved-vectors into vectors of contiguous
769 // elements.
770 switch (NumSubVecElems) {
771 case 4:
772 transpose_4x4(DecomposedVectors, TransposedVectors);
773 break;
774 case 8:
775 interleave8bitStride4VF8(DecomposedVectors, TransposedVectors);
776 break;
777 case 16:
778 case 32:
779 case 64:
780 if (Factor == 4)
781 interleave8bitStride4(DecomposedVectors, TransposedVectors,
782 NumSubVecElems);
783 if (Factor == 3)
784 interleave8bitStride3(DecomposedVectors, TransposedVectors,
785 NumSubVecElems);
786 break;
787 default:
788 return false;
791 // 3. Concatenate the contiguous-vectors back into a wide vector.
792 Value *WideVec = concatenateVectors(Builder, TransposedVectors);
794 // 4. Generate a store instruction for wide-vec.
795 StoreInst *SI = cast<StoreInst>(Inst);
796 Builder.CreateAlignedStore(WideVec, SI->getPointerOperand(),
797 SI->getAlignment());
799 return true;
802 // Lower interleaved load(s) into target specific instructions/
803 // intrinsics. Lowering sequence varies depending on the vector-types, factor,
804 // number of shuffles and ISA.
805 // Currently, lowering is supported for 4x64 bits with Factor = 4 on AVX.
806 bool X86TargetLowering::lowerInterleavedLoad(
807 LoadInst *LI, ArrayRef<ShuffleVectorInst *> Shuffles,
808 ArrayRef<unsigned> Indices, unsigned Factor) const {
809 assert(Factor >= 2 && Factor <= getMaxSupportedInterleaveFactor() &&
810 "Invalid interleave factor");
811 assert(!Shuffles.empty() && "Empty shufflevector input");
812 assert(Shuffles.size() == Indices.size() &&
813 "Unmatched number of shufflevectors and indices");
815 // Create an interleaved access group.
816 IRBuilder<> Builder(LI);
817 X86InterleavedAccessGroup Grp(LI, Shuffles, Indices, Factor, Subtarget,
818 Builder);
820 return Grp.isSupported() && Grp.lowerIntoOptimizedSequence();
823 bool X86TargetLowering::lowerInterleavedStore(StoreInst *SI,
824 ShuffleVectorInst *SVI,
825 unsigned Factor) const {
826 assert(Factor >= 2 && Factor <= getMaxSupportedInterleaveFactor() &&
827 "Invalid interleave factor");
829 assert(SVI->getType()->getVectorNumElements() % Factor == 0 &&
830 "Invalid interleaved store");
832 // Holds the indices of SVI that correspond to the starting index of each
833 // interleaved shuffle.
834 SmallVector<unsigned, 4> Indices;
835 auto Mask = SVI->getShuffleMask();
836 for (unsigned i = 0; i < Factor; i++)
837 Indices.push_back(Mask[i]);
839 ArrayRef<ShuffleVectorInst *> Shuffles = makeArrayRef(SVI);
841 // Create an interleaved access group.
842 IRBuilder<> Builder(SI);
843 X86InterleavedAccessGroup Grp(SI, Shuffles, Indices, Factor, Subtarget,
844 Builder);
846 return Grp.isSupported() && Grp.lowerIntoOptimizedSequence();