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//===- BuiltinAttributeInterfaces.cpp -------------------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "mlir/IR/BuiltinAttributeInterfaces.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/Diagnostics.h"
#include "llvm/ADT/Sequence.h"
using namespace mlir;
using namespace mlir::detail;
//===----------------------------------------------------------------------===//
/// Tablegen Interface Definitions
//===----------------------------------------------------------------------===//
#include "mlir/IR/BuiltinAttributeInterfaces.cpp.inc"
//===----------------------------------------------------------------------===//
// ElementsAttr
//===----------------------------------------------------------------------===//
Type ElementsAttr::getElementType(ElementsAttr elementsAttr) {
return elementsAttr.getShapedType().getElementType();
}
int64_t ElementsAttr::getNumElements(ElementsAttr elementsAttr) {
return elementsAttr.getShapedType().getNumElements();
}
bool ElementsAttr::isValidIndex(ShapedType type, ArrayRef<uint64_t> index) {
// Verify that the rank of the indices matches the held type.
int64_t rank = type.getRank();
if (rank == 0 && index.size() == 1 && index[0] == 0)
return true;
if (rank != static_cast<int64_t>(index.size()))
return false;
// Verify that all of the indices are within the shape dimensions.
ArrayRef<int64_t> shape = type.getShape();
return llvm::all_of(llvm::seq<int>(0, rank), [&](int i) {
int64_t dim = static_cast<int64_t>(index[i]);
return 0 <= dim && dim < shape[i];
});
}
bool ElementsAttr::isValidIndex(ElementsAttr elementsAttr,
ArrayRef<uint64_t> index) {
return isValidIndex(elementsAttr.getShapedType(), index);
}
uint64_t ElementsAttr::getFlattenedIndex(Type type, ArrayRef<uint64_t> index) {
ShapedType shapeType = llvm::cast<ShapedType>(type);
assert(isValidIndex(shapeType, index) &&
"expected valid multi-dimensional index");
// Reduce the provided multidimensional index into a flattended 1D row-major
// index.
auto rank = shapeType.getRank();
ArrayRef<int64_t> shape = shapeType.getShape();
uint64_t valueIndex = 0;
uint64_t dimMultiplier = 1;
for (int i = rank - 1; i >= 0; --i) {
valueIndex += index[i] * dimMultiplier;
dimMultiplier *= shape[i];
}
return valueIndex;
}
//===----------------------------------------------------------------------===//
// MemRefLayoutAttrInterface
//===----------------------------------------------------------------------===//
LogicalResult mlir::detail::verifyAffineMapAsLayout(
AffineMap m, ArrayRef<int64_t> shape,
function_ref<InFlightDiagnostic()> emitError) {
if (m.getNumDims() != shape.size())
return emitError() << "memref layout mismatch between rank and affine map: "
<< shape.size() << " != " << m.getNumDims();
return success();
}
// Fallback cases for terminal dim/sym/cst that are not part of a binary op (
// i.e. single term). Accumulate the AffineExpr into the existing one.
static void extractStridesFromTerm(AffineExpr e,
AffineExpr multiplicativeFactor,
MutableArrayRef<AffineExpr> strides,
AffineExpr &offset) {
if (auto dim = dyn_cast<AffineDimExpr>(e))
strides[dim.getPosition()] =
strides[dim.getPosition()] + multiplicativeFactor;
else
offset = offset + e * multiplicativeFactor;
}
/// Takes a single AffineExpr `e` and populates the `strides` array with the
/// strides expressions for each dim position.
/// The convention is that the strides for dimensions d0, .. dn appear in
/// order to make indexing intuitive into the result.
static LogicalResult extractStrides(AffineExpr e,
AffineExpr multiplicativeFactor,
MutableArrayRef<AffineExpr> strides,
AffineExpr &offset) {
auto bin = dyn_cast<AffineBinaryOpExpr>(e);
if (!bin) {
extractStridesFromTerm(e, multiplicativeFactor, strides, offset);
return success();
}
if (bin.getKind() == AffineExprKind::CeilDiv ||
bin.getKind() == AffineExprKind::FloorDiv ||
bin.getKind() == AffineExprKind::Mod)
return failure();
if (bin.getKind() == AffineExprKind::Mul) {
auto dim = dyn_cast<AffineDimExpr>(bin.getLHS());
if (dim) {
strides[dim.getPosition()] =
strides[dim.getPosition()] + bin.getRHS() * multiplicativeFactor;
return success();
}
// LHS and RHS may both contain complex expressions of dims. Try one path
// and if it fails try the other. This is guaranteed to succeed because
// only one path may have a `dim`, otherwise this is not an AffineExpr in
// the first place.
if (bin.getLHS().isSymbolicOrConstant())
return extractStrides(bin.getRHS(), multiplicativeFactor * bin.getLHS(),
strides, offset);
return extractStrides(bin.getLHS(), multiplicativeFactor * bin.getRHS(),
strides, offset);
}
if (bin.getKind() == AffineExprKind::Add) {
auto res1 =
extractStrides(bin.getLHS(), multiplicativeFactor, strides, offset);
auto res2 =
extractStrides(bin.getRHS(), multiplicativeFactor, strides, offset);
return success(succeeded(res1) && succeeded(res2));
}
llvm_unreachable("unexpected binary operation");
}
/// A stride specification is a list of integer values that are either static
/// or dynamic (encoded with ShapedType::kDynamic). Strides encode
/// the distance in the number of elements between successive entries along a
/// particular dimension.
///
/// For example, `memref<42x16xf32, (64 * d0 + d1)>` specifies a view into a
/// non-contiguous memory region of `42` by `16` `f32` elements in which the
/// distance between two consecutive elements along the outer dimension is `1`
/// and the distance between two consecutive elements along the inner dimension
/// is `64`.
///
/// The convention is that the strides for dimensions d0, .. dn appear in
/// order to make indexing intuitive into the result.
static LogicalResult getStridesAndOffset(AffineMap m, ArrayRef<int64_t> shape,
SmallVectorImpl<AffineExpr> &strides,
AffineExpr &offset) {
if (m.getNumResults() != 1 && !m.isIdentity())
return failure();
auto zero = getAffineConstantExpr(0, m.getContext());
auto one = getAffineConstantExpr(1, m.getContext());
offset = zero;
strides.assign(shape.size(), zero);
// Canonical case for empty map.
if (m.isIdentity()) {
// 0-D corner case, offset is already 0.
if (shape.empty())
return success();
auto stridedExpr = makeCanonicalStridedLayoutExpr(shape, m.getContext());
if (succeeded(extractStrides(stridedExpr, one, strides, offset)))
return success();
assert(false && "unexpected failure: extract strides in canonical layout");
}
// Non-canonical case requires more work.
auto stridedExpr =
simplifyAffineExpr(m.getResult(0), m.getNumDims(), m.getNumSymbols());
if (failed(extractStrides(stridedExpr, one, strides, offset))) {
offset = AffineExpr();
strides.clear();
return failure();
}
// Simplify results to allow folding to constants and simple checks.
unsigned numDims = m.getNumDims();
unsigned numSymbols = m.getNumSymbols();
offset = simplifyAffineExpr(offset, numDims, numSymbols);
for (auto &stride : strides)
stride = simplifyAffineExpr(stride, numDims, numSymbols);
return success();
}
LogicalResult mlir::detail::getAffineMapStridesAndOffset(
AffineMap map, ArrayRef<int64_t> shape, SmallVectorImpl<int64_t> &strides,
int64_t &offset) {
AffineExpr offsetExpr;
SmallVector<AffineExpr, 4> strideExprs;
if (failed(::getStridesAndOffset(map, shape, strideExprs, offsetExpr)))
return failure();
if (auto cst = llvm::dyn_cast<AffineConstantExpr>(offsetExpr))
offset = cst.getValue();
else
offset = ShapedType::kDynamic;
for (auto e : strideExprs) {
if (auto c = llvm::dyn_cast<AffineConstantExpr>(e))
strides.push_back(c.getValue());
else
strides.push_back(ShapedType::kDynamic);
}
return success();
}
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