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//===- Utils.cpp - Utilities to support the Linalg dialect ----------------===//
//
// 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 utilities for the Linalg dialect.
//
//===----------------------------------------------------------------------===//
#include "mlir/Dialect/Linalg/Utils/Utils.h"
#include "mlir/Dialect/AffineOps/AffineOps.h"
#include "mlir/Dialect/Linalg/IR/LinalgOps.h"
#include "mlir/Dialect/Linalg/IR/LinalgTypes.h"
#include "mlir/Dialect/LoopOps/LoopOps.h"
#include "mlir/Dialect/StandardOps/IR/Ops.h"
#include "mlir/IR/AffineExpr.h"
#include "mlir/IR/AffineMap.h"
#include "mlir/IR/Matchers.h"
#include "mlir/IR/OpImplementation.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Support/STLExtras.h"
#include "mlir/Transforms/FoldUtils.h"
using namespace mlir;
using namespace mlir::linalg;
using namespace mlir::loop;
Optional<RegionMatcher::BinaryOpKind>
RegionMatcher::matchAsScalarBinaryOp(GenericOp op) {
auto &region = op.region();
if (!has_single_element(region))
return llvm::None;
Block &block = region.front();
if (block.getNumArguments() != 2 ||
!block.getArgument(0).getType().isSignlessIntOrFloat() ||
!block.getArgument(1).getType().isSignlessIntOrFloat())
return llvm::None;
auto &ops = block.getOperations();
if (!has_single_element(block.without_terminator()))
return llvm::None;
using mlir::matchers::m_Val;
auto a = m_Val(block.getArgument(0));
auto b = m_Val(block.getArgument(1));
auto addPattern = m_Op<linalg::YieldOp>(m_Op<AddIOp>(a, b));
if (addPattern.match(&ops.back()))
return BinaryOpKind::IAdd;
return llvm::None;
}
static Value emitOrFoldComposedAffineApply(OpBuilder &b, Location loc,
AffineMap map,
ArrayRef<Value> operandsRef,
OperationFolder *folder) {
SmallVector<Value, 4> operands(operandsRef.begin(), operandsRef.end());
fullyComposeAffineMapAndOperands(&map, &operands);
canonicalizeMapAndOperands(&map, &operands);
return folder ? folder->create<AffineApplyOp>(b, loc, map, operands)
: b.create<AffineApplyOp>(loc, map, operands);
}
SmallVector<Value, 4> mlir::linalg::applyMapToValues(OpBuilder &b, Location loc,
AffineMap map,
ArrayRef<Value> values,
OperationFolder *folder) {
SmallVector<Value, 4> res;
res.reserve(map.getNumResults());
unsigned numDims = map.getNumDims();
// For each `expr` in `map`, applies the `expr` to the values extracted from
// ranges. If the resulting application can be folded into a Value, the
// folding occurs eagerly. Otherwise, an affine.apply operation is emitted.
for (auto expr : map.getResults()) {
AffineMap map = AffineMap::get(numDims, 0, expr);
res.push_back(emitOrFoldComposedAffineApply(b, loc, map, values, folder));
}
return res;
}
/// Returns all the operands of `linalgOp` that are not views.
/// Asserts that these operands are value types to allow transformations like
/// tiling to just use the values when cloning `linalgOp`.
SmallVector<Value, 4>
mlir::linalg::getAssumedNonViewOperands(LinalgOp linalgOp) {
auto *op = linalgOp.getOperation();
unsigned numViews = linalgOp.getNumInputsAndOutputs();
unsigned nOperands = op->getNumOperands() - numViews;
SmallVector<Value, 4> res;
res.reserve(nOperands);
for (unsigned i = 0; i < nOperands; ++i) {
res.push_back(op->getOperand(numViews + i));
auto t = res.back().getType();
(void)t;
assert((t.isSignlessIntOrIndexOrFloat() || t.isa<VectorType>()) &&
"expected scalar or vector type");
}
return res;
}