TypeUtilities.cpp

Go to the documentation of this file.

//===- TypeUtilities.cpp - Helper function for type queries ---------------===//
//
// 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 defines generic type utilities.
//
//===----------------------------------------------------------------------===//
 
#include "mlir/IR/TypeUtilities.h"
#include "mlir/IR/Attributes.h"
#include "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/Types.h"
#include "mlir/IR/Value.h"
#include "llvm/ADT/SmallVectorExtras.h"
#include <numeric>
 
using namespace mlir;
 
Type mlir::getElementTypeOrSelf(Type type) {
  if (auto st = llvm::dyn_cast<ShapedType>(type))
    return st.getElementType();
  return type;
}
 
Type mlir::getElementTypeOrSelf(Value val) {
  return getElementTypeOrSelf(val.getType());
}
 
Type mlir::getElementTypeOrSelf(Attribute attr) {
  if (auto typedAttr = llvm::dyn_cast<TypedAttr>(attr))
    return getElementTypeOrSelf(typedAttr.getType());
  return {};
}
 
SmallVector<Type, 10> mlir::getFlattenedTypes(TupleType t) {
  SmallVector<Type, 10> fTypes;
  t.getFlattenedTypes(fTypes);
  return fTypes;
}
 
/// Return true if the specified type is an opaque type with the specified
/// dialect and typeData.
bool mlir::isOpaqueTypeWithName(Type type, StringRef dialect,
                                StringRef typeData) {
  if (auto opaque = llvm::dyn_cast<mlir::OpaqueType>(type))
    return opaque.getDialectNamespace() == dialect &&
           opaque.getTypeData() == typeData;
  return false;
}
 
/// Returns success if the given two shapes are compatible. That is, they have
/// the same size and each pair of the elements are equal or one of them is
/// dynamic.
LogicalResult mlir::verifyCompatibleShape(ArrayRef<int64_t> shape1,
                                          ArrayRef<int64_t> shape2) {
  if (shape1.size() != shape2.size())
    return failure();
  for (auto dims : llvm::zip(shape1, shape2)) {
    int64_t dim1 = std::get<0>(dims);
    int64_t dim2 = std::get<1>(dims);
    if (ShapedType::isStatic(dim1) && ShapedType::isStatic(dim2) &&
        dim1 != dim2)
      return failure();
  }
  return success();
}
 
/// Returns success if the given two types have compatible shape. That is,
/// they are both scalars (not shaped), or they are both shaped types and at
/// least one is unranked or they have compatible dimensions. Dimensions are
/// compatible if at least one is dynamic or both are equal. The element type
/// does not matter.
LogicalResult mlir::verifyCompatibleShape(Type type1, Type type2) {
  auto sType1 = llvm::dyn_cast<ShapedType>(type1);
  auto sType2 = llvm::dyn_cast<ShapedType>(type2);
 
  // Either both or neither type should be shaped.
  if (!sType1)
    return success(!sType2);
  if (!sType2)
    return failure();
 
  if (!sType1.hasRank() || !sType2.hasRank())
    return success();
 
  return verifyCompatibleShape(sType1.getShape(), sType2.getShape());
}
 
/// Returns success if the given two arrays have the same number of elements and
/// each pair wise entries have compatible shape.
LogicalResult mlir::verifyCompatibleShapes(TypeRange types1, TypeRange types2) {
  if (types1.size() != types2.size())
    return failure();
  for (auto it : llvm::zip_first(types1, types2))
    if (failed(verifyCompatibleShape(std::get<0>(it), std::get<1>(it))))
      return failure();
  return success();
}
 
LogicalResult mlir::verifyCompatibleDims(ArrayRef<int64_t> dims) {
  if (dims.empty())
    return success();
  auto staticDim =
      llvm::accumulate(dims, dims.front(), [](auto fold, auto dim) {
        return ShapedType::isDynamic(dim) ? fold : dim;
      });
  return success(llvm::all_of(dims, [&](auto dim) {
    return ShapedType::isDynamic(dim) || dim == staticDim;
  }));
}
 
/// Returns success if all given types have compatible shapes. That is, they are
/// all scalars (not shaped), or they are all shaped types and any ranked shapes
/// have compatible dimensions. Dimensions are compatible if all non-dynamic
/// dims are equal. The element type does not matter.
LogicalResult mlir::verifyCompatibleShapes(TypeRange types) {
  auto shapedTypes = llvm::map_to_vector<8>(types, llvm::DynCastTo<ShapedType>);
  // Return failure if some, but not all are not shaped. Return early if none
  // are shaped also.
  if (llvm::none_of(shapedTypes, [](auto t) { return t; }))
    return success();
  if (!llvm::all_of(shapedTypes, [](auto t) { return t; }))
    return failure();
 
  // Return failure if some, but not all, are scalable vectors.
  bool hasScalableVecTypes = false;
  bool hasNonScalableVecTypes = false;
  for (Type t : types) {
    auto vType = llvm::dyn_cast<VectorType>(t);
    if (vType && vType.isScalable())
      hasScalableVecTypes = true;
    else
      hasNonScalableVecTypes = true;
    if (hasScalableVecTypes && hasNonScalableVecTypes)
      return failure();
  }
 
  // Remove all unranked shapes
  auto shapes = llvm::filter_to_vector<8>(
      shapedTypes, [](auto shapedType) { return shapedType.hasRank(); });
  if (shapes.empty())
    return success();
 
  // All ranks should be equal
  auto firstRank = shapes.front().getRank();
  if (llvm::any_of(shapes,
                   [&](auto shape) { return firstRank != shape.getRank(); }))
    return failure();
 
  for (unsigned i = 0; i < firstRank; ++i) {
    // Retrieve all ranked dimensions
    auto dims = llvm::map_to_vector<8>(
        llvm::make_filter_range(
            shapes, [&](auto shape) { return shape.getRank() >= i; }),
        [&](auto shape) { return shape.getDimSize(i); });
    if (verifyCompatibleDims(dims).failed())
      return failure();
  }
 
  return success();
}
 
Type OperandElementTypeIterator::mapElement(Value value) const {
  return llvm::cast<ShapedType>(value.getType()).getElementType();
}
 
Type ResultElementTypeIterator::mapElement(Value value) const {
  return llvm::cast<ShapedType>(value.getType()).getElementType();
}
 
TypeRange mlir::insertTypesInto(TypeRange oldTypes, ArrayRef<unsigned> indices,
                                TypeRange newTypes,
                                SmallVectorImpl<Type> &storage) {
  assert(indices.size() == newTypes.size() &&
         "mismatch between indice and type count");
  if (indices.empty())
    return oldTypes;
 
  auto fromIt = oldTypes.begin();
  for (auto it : llvm::zip(indices, newTypes)) {
    const auto toIt = oldTypes.begin() + std::get<0>(it);
    storage.append(fromIt, toIt);
    storage.push_back(std::get<1>(it));
    fromIt = toIt;
  }
  storage.append(fromIt, oldTypes.end());
  return storage;
}
 
TypeRange mlir::filterTypesOut(TypeRange types, const BitVector &indices,
                               SmallVectorImpl<Type> &storage) {
  if (indices.none())
    return types;
 
  for (unsigned i = 0, e = types.size(); i < e; ++i)
    if (!indices[i])
      storage.emplace_back(types[i]);
  return storage;
}