[mlir][Bufferization] Do not have read semantics for destination of `tensor.parallel_insert_slice`. (#134169) `tensor.insert_slice` needs to have read semantics on its destination operand. Since it has a return value, its semantics are - Copy dest to result - Copy source to subview of destination. `tensor.parallel_insert_slice` though has no result. So it does not need to have read semantics. The op description [here](https://github.com/llvm/llvm-project/blob/a3ac318e5f8668ec5b79dd86639881dfb2e88b69/mlir/include/mlir/Dialect/Tensor/IR/TensorOps.td#L1524) also says that it is expected to lower to a `memref.subview`, that does not have read semantics on the destination (its just a view). This patch drops the read semantics for destination of `tensor.parallel_insert_slice` but also makes the `shared_outs` operands of `scf.forall` have read semantics. Earlier it would rely indirectly on read semantics of destination operand of `tensor.parallel_insert_slice` to propagate the read semantics for `shared_outs`. Now that is specified more directly. Fixes #133964 --------- Signed-off-by: MaheshRavishankar <mahesh.ravishankar@gmail.com>
Welcome to the LLVM project!
This repository contains the source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and run-time environments.
The LLVM project has multiple components. The core of the project is itself called “LLVM”. This contains all of the tools, libraries, and header files needed to process intermediate representations and convert them into object files. Tools include an assembler, disassembler, bitcode analyzer, and bitcode optimizer.
C-like languages use the Clang frontend. This component compiles C, C++, Objective-C, and Objective-C++ code into LLVM bitcode -- and from there into object files, using LLVM.
Other components include: the libc++ C++ standard library, the LLD linker, and more.
Consult the Getting Started with LLVM page for information on building and running LLVM.
For information on how to contribute to the LLVM project, please take a look at the Contributing to LLVM guide.
Join the LLVM Discourse forums, Discord chat, LLVM Office Hours or Regular sync-ups.
The LLVM project has adopted a code of conduct for participants to all modes of communication within the project.