3 Commits

Author	SHA1	Message	Date
Julian Gross	e2310704d8	[MLIR] Create memref dialect and move dialect-specific ops from std. ... Create the memref dialect and move dialect-specific ops from std dialect to this dialect. Moved ops: AllocOp -> MemRef_AllocOp AllocaOp -> MemRef_AllocaOp AssumeAlignmentOp -> MemRef_AssumeAlignmentOp DeallocOp -> MemRef_DeallocOp DimOp -> MemRef_DimOp MemRefCastOp -> MemRef_CastOp MemRefReinterpretCastOp -> MemRef_ReinterpretCastOp GetGlobalMemRefOp -> MemRef_GetGlobalOp GlobalMemRefOp -> MemRef_GlobalOp LoadOp -> MemRef_LoadOp PrefetchOp -> MemRef_PrefetchOp ReshapeOp -> MemRef_ReshapeOp StoreOp -> MemRef_StoreOp SubViewOp -> MemRef_SubViewOp TransposeOp -> MemRef_TransposeOp TensorLoadOp -> MemRef_TensorLoadOp TensorStoreOp -> MemRef_TensorStoreOp TensorToMemRefOp -> MemRef_BufferCastOp ViewOp -> MemRef_ViewOp The roadmap to split the memref dialect from std is discussed here: https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667 Differential Revision: https://reviews.llvm.org/D98041	2021-03-15 11:14:09 +01:00
Sean Silva	f4abd3ed6d	[mlir] Add std.dynamic_tensor_from_elements bufferization. ... It's unfortunate that this requires adding a dependency on scf dialect to std bufferization (and hence all of std transforms). This is a bit perilous. We might want a lib/Transforms/Bufferize/ with a separate bufferization library per dialect? Differential Revision: https://reviews.llvm.org/D89667	2020-10-19 15:51:45 -07:00
Alexander Belyaev	b79751e83d	[MLIR] Add conversion from AtomicRMWOp -> GenericAtomicRMWOp. ... Adding this pattern reduces code duplication. There is no need to have a custom implementation for lowering to llvm.cmpxchg. Differential Revision: https://reviews.llvm.org/D78753	2020-05-05 10:32:13 +02:00