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04c1fe05b7
Changes: * Change `ToVectorTy` to deal directly with `ElementCount` instances. * `VF == 1` replaced with `VF.isScalar()`. * `VF > 1` and `VF >=2` replaced with `VF.isVector()`. * `VF <=1` is replaced with `VF.isZero() || VF.isScalar()`. * Add `<` operator to `ElementCount` to be able to use `llvm::SmallSetVector<ElementCount, ...>`. * Bits and pieces around printing the ElementCount to string streams. * Added a static method to `ElementCount` to represent a scalar. To guarantee that this change is a NFC, `VF.Min` and asserts are used in the following places: 1. When it doesn't make sense to deal with the scalable property, for example: a. When computing unrolling factors. b. When shuffle masks are built for fixed width vector types In this cases, an assert(!VF.Scalable && "<mgs>") has been added to make sure we don't enter coepaths that don't make sense for scalable vectors. 2. When there is a conscious decision to use `FixedVectorType`. These uses of `FixedVectorType` will likely be removed in favour of `VectorType` once the vectorizer is generic enough to deal with both fixed vector types and scalable vector types. 3. When dealing with building constants out of the value of VF, for example when computing the vectorization `step`, or building vectors of indices. These operation _make sense_ for scalable vectors too, but changing the code in these places to be generic and make it work for scalable vectors is to be submitted in a separate patch, as it is a functional change. 4. When building the potential VFs in VPlan. Making the VPlan generic enough to handle scalable vectorization factors is a functional change that needs a separate patch. See for example `void LoopVectorizationPlanner::buildVPlans(unsigned MinVF, unsigned MaxVF)`. 5. The class `IntrinsicCostAttribute`: this class still uses `unsigned VF` as updating the field to use `ElementCount` woudl require changes that could result in changing the behavior of the compiler. Will be done in a separate patch. 7. When dealing with user input for forcing the vectorization factor. In this case, adding support for scalable vectorization is a functional change that migh require changes at command line. Differential Revision: https://reviews.llvm.org/D85794 |
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