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path: root/mlir/lib/Transforms/Vectorization/VectorizerTestPass.cpp
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* Migrate VectorOrTensorType/MemRefType shape api to use int64_t instead of int.River Riddle2019-03-291-2/+2
* Simplify compositions of AffineApplyNicolas Vasilache2019-03-291-3/+3
* Uniformize composition of AffineApplyOp by constructionNicolas Vasilache2019-03-291-2/+1
* Introduce AffineMap::compose(AffineMap)Nicolas Vasilache2019-03-291-2/+2
* [MLIR] Introduce normalized single-result unbounded AffineApplyOpNicolas Vasilache2019-03-291-0/+52
* [MLIR] Drop strict super-vector requirement in MaterializeVectorNicolas Vasilache2019-03-291-1/+1
* Split the standard types from builtin types and move them into separate sourc...River Riddle2019-03-291-0/+1
* Update and generalize various passes to work on both CFG and ML functions,Chris Lattner2019-03-291-2/+6
* Standardize naming of statements -> instructions, revisting the code base to beChris Lattner2019-03-291-24/+24
* Eliminate the using decls for MLFunction and CFGFunction standardizing onChris Lattner2019-03-291-13/+13
* Merge Operation into OperationInst and standardize nomenclature aroundChris Lattner2019-03-291-5/+5
* [MLIR] Add AffineMap composition and use it in MaterializationNicolas Vasilache2019-03-291-0/+41
* [MLIR][Slicing] Apply cleanupsNicolas Vasilache2019-03-291-26/+24
* [MLIR][Slicing] Add utils for computing slices.Nicolas Vasilache2019-03-291-24/+116
* [MLIR][VectorAnalysis] Add a VectorAnalysis and standalone testsNicolas Vasilache2019-03-291-0/+116
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