a1a6860314
This unrolls n-D vector.interleave ops like: ```mlir vector.interleave %i, %j : vector<6x3xf32> ``` To a sequence of 1-D operations: ```mlir %i_0 = vector.extract %i[0] %j_0 = vector.extract %j[0] %res_0 = vector.interleave %i_0, %j_0 : vector<3xf32> vector.insert %res_0, %result[0] : // ... repeated x6 ``` The 1-D operations can then be directly lowered to LLVM. Depends on: #80966
86 lines
3.1 KiB
C++
86 lines
3.1 KiB
C++
//===- LowerVectorInterleave.cpp - Lower 'vector.interleave' operation ----===//
|
|
//
|
|
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
|
|
// See https://llvm.org/LICENSE.txt for license information.
|
|
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
//
|
|
// This file implements target-independent rewrites and utilities to lower the
|
|
// 'vector.interleave' operation.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "mlir/Dialect/Vector/IR/VectorOps.h"
|
|
#include "mlir/Dialect/Vector/Transforms/LoweringPatterns.h"
|
|
#include "mlir/Dialect/Vector/Utils/VectorUtils.h"
|
|
#include "mlir/IR/BuiltinTypes.h"
|
|
#include "mlir/IR/PatternMatch.h"
|
|
|
|
#define DEBUG_TYPE "vector-interleave-lowering"
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::vector;
|
|
|
|
namespace {
|
|
|
|
/// A one-shot unrolling of vector.interleave to the `targetRank`.
|
|
///
|
|
/// Example:
|
|
///
|
|
/// ```mlir
|
|
/// vector.interleave %a, %b : vector<1x2x3x4xi64>
|
|
/// ```
|
|
/// Would be unrolled to:
|
|
/// ```mlir
|
|
/// %result = arith.constant dense<0> : vector<1x2x3x8xi64>
|
|
/// %0 = vector.extract %a[0, 0, 0] ─┐
|
|
/// : vector<4xi64> from vector<1x2x3x4xi64> |
|
|
/// %1 = vector.extract %b[0, 0, 0] |
|
|
/// : vector<4xi64> from vector<1x2x3x4xi64> | - Repeated 6x for
|
|
/// %2 = vector.interleave %0, %1 : vector<4xi64> | all leading positions
|
|
/// %3 = vector.insert %2, %result [0, 0, 0] |
|
|
/// : vector<8xi64> into vector<1x2x3x8xi64> ┘
|
|
/// ```
|
|
///
|
|
/// Note: If any leading dimension before the `targetRank` is scalable the
|
|
/// unrolling will stop before the scalable dimension.
|
|
class UnrollInterleaveOp : public OpRewritePattern<vector::InterleaveOp> {
|
|
public:
|
|
UnrollInterleaveOp(int64_t targetRank, MLIRContext *context,
|
|
PatternBenefit benefit = 1)
|
|
: OpRewritePattern(context, benefit), targetRank(targetRank){};
|
|
|
|
LogicalResult matchAndRewrite(vector::InterleaveOp op,
|
|
PatternRewriter &rewriter) const override {
|
|
VectorType resultType = op.getResultVectorType();
|
|
auto unrollIterator = vector::createUnrollIterator(resultType, targetRank);
|
|
if (!unrollIterator)
|
|
return failure();
|
|
|
|
auto loc = op.getLoc();
|
|
Value result = rewriter.create<arith::ConstantOp>(
|
|
loc, resultType, rewriter.getZeroAttr(resultType));
|
|
for (auto position : *unrollIterator) {
|
|
Value extractLhs = rewriter.create<ExtractOp>(loc, op.getLhs(), position);
|
|
Value extractRhs = rewriter.create<ExtractOp>(loc, op.getRhs(), position);
|
|
Value interleave =
|
|
rewriter.create<InterleaveOp>(loc, extractLhs, extractRhs);
|
|
result = rewriter.create<InsertOp>(loc, interleave, result, position);
|
|
}
|
|
|
|
rewriter.replaceOp(op, result);
|
|
return success();
|
|
}
|
|
|
|
private:
|
|
int64_t targetRank = 1;
|
|
};
|
|
|
|
} // namespace
|
|
|
|
void mlir::vector::populateVectorInterleaveLoweringPatterns(
|
|
RewritePatternSet &patterns, int64_t targetRank, PatternBenefit benefit) {
|
|
patterns.add<UnrollInterleaveOp>(targetRank, patterns.getContext(), benefit);
|
|
}
|