[all-commits] [llvm/llvm-project] 0bf4a8: [mlir] Use mlir::OpState::operator->() to get to m...

[Christian Sigg via All-commits]

  Branch: refs/heads/main
  Home:   https://github.com/llvm/llvm-project
  Commit: 0bf4a82a5a2b11a07a7f7eac5e49b565cb041b13
      https://github.com/llvm/llvm-project/commit/0bf4a82a5a2b11a07a7f7eac5e49b565cb041b13
  Author: Christian Sigg <csigg at google.com>
  Date:   2020-12-09 (Wed, 09 Dec 2020)

  Changed paths:
    M flang/include/flang/Optimizer/Dialect/FIROps.td
    M mlir/examples/toy/Ch2/mlir/Dialect.cpp
    M mlir/examples/toy/Ch3/mlir/Dialect.cpp
    M mlir/examples/toy/Ch4/mlir/Dialect.cpp
    M mlir/examples/toy/Ch5/mlir/Dialect.cpp
    M mlir/examples/toy/Ch6/mlir/Dialect.cpp
    M mlir/examples/toy/Ch7/mlir/Dialect.cpp
    M mlir/include/mlir/Dialect/GPU/GPUOps.td
    M mlir/include/mlir/Dialect/LLVMIR/LLVMOps.td
    M mlir/include/mlir/Dialect/LLVMIR/NVVMOps.td
    M mlir/include/mlir/Dialect/StandardOps/IR/Ops.h
    M mlir/include/mlir/Dialect/StandardOps/IR/Ops.td
    M mlir/include/mlir/Dialect/Vector/VectorOps.td
    M mlir/lib/Conversion/AsyncToLLVM/AsyncToLLVM.cpp
    M mlir/lib/Conversion/GPUCommon/ConvertLaunchFuncToRuntimeCalls.cpp
    M mlir/lib/Conversion/GPUToVulkan/ConvertLaunchFuncToVulkanCalls.cpp
    M mlir/lib/Conversion/SCFToGPU/SCFToGPU.cpp
    M mlir/lib/Conversion/SCFToOpenMP/SCFToOpenMP.cpp
    M mlir/lib/Conversion/SCFToSPIRV/SCFToSPIRV.cpp
    M mlir/lib/Conversion/SPIRVToLLVM/ConvertLaunchFuncToLLVMCalls.cpp
    M mlir/lib/Conversion/SPIRVToLLVM/ConvertSPIRVToLLVM.cpp
    M mlir/lib/Conversion/StandardToLLVM/StandardToLLVM.cpp
    M mlir/lib/Conversion/StandardToSPIRV/ConvertStandardToSPIRV.cpp
    M mlir/lib/Dialect/Affine/IR/AffineOps.cpp
    M mlir/lib/Dialect/Affine/Utils/Utils.cpp
    M mlir/lib/Dialect/Async/IR/Async.cpp
    M mlir/lib/Dialect/GPU/IR/GPUDialect.cpp
    M mlir/lib/Dialect/GPU/Transforms/AsyncRegionRewriter.cpp
    M mlir/lib/Dialect/GPU/Transforms/KernelOutlining.cpp
    M mlir/lib/Dialect/GPU/Transforms/ParallelLoopMapper.cpp
    M mlir/lib/Dialect/LLVMIR/IR/LLVMDialect.cpp
    M mlir/lib/Dialect/LLVMIR/IR/NVVMDialect.cpp
    M mlir/lib/Dialect/Linalg/IR/LinalgOps.cpp
    M mlir/lib/Dialect/Linalg/Transforms/CodegenStrategy.cpp
    M mlir/lib/Dialect/Linalg/Transforms/Hoisting.cpp
    M mlir/lib/Dialect/PDL/IR/PDL.cpp
    M mlir/lib/Dialect/SCF/SCF.cpp
    M mlir/lib/Dialect/SCF/Transforms/StructuralTypeConversions.cpp
    M mlir/lib/Dialect/SCF/Transforms/Utils.cpp
    M mlir/lib/Dialect/SPIRV/SPIRVLowering.cpp
    M mlir/lib/Dialect/SPIRV/SPIRVOps.cpp
    M mlir/lib/Dialect/SPIRV/Serialization/Serializer.cpp
    M mlir/lib/Dialect/SPIRV/Transforms/DecorateSPIRVCompositeTypeLayoutPass.cpp
    M mlir/lib/Dialect/SPIRV/Transforms/LowerABIAttributesPass.cpp
    M mlir/lib/Dialect/Shape/IR/Shape.cpp
    M mlir/lib/Dialect/Shape/Transforms/ShapeToShapeLowering.cpp
    M mlir/lib/Dialect/StandardOps/IR/Ops.cpp
    M mlir/lib/Dialect/Vector/VectorTransferOpTransforms.cpp
    M mlir/lib/Dialect/Vector/VectorTransforms.cpp
    M mlir/lib/Target/LLVMIR/ConvertToROCDLIR.cpp
    M mlir/lib/Transforms/Inliner.cpp
    M mlir/lib/Transforms/LoopCoalescing.cpp
    M mlir/lib/Transforms/Utils/InliningUtils.cpp
    M mlir/lib/Transforms/Utils/LoopFusionUtils.cpp
    M mlir/lib/Transforms/Utils/LoopUtils.cpp
    M mlir/test/lib/Dialect/Shape/TestShapeFunctions.cpp
    M mlir/test/lib/Dialect/Test/TestDialect.cpp
    M mlir/test/lib/Dialect/Test/TestOps.td
    M mlir/test/lib/Dialect/Test/TestPatterns.cpp
    M mlir/test/lib/IR/TestFunc.cpp
    M mlir/test/lib/Transforms/TestAffineLoopParametricTiling.cpp
    M mlir/test/lib/Transforms/TestLinalgFusionTransforms.cpp
    M mlir/test/lib/Transforms/TestLoopMapping.cpp
    M mlir/test/lib/Transforms/TestLoopParametricTiling.cpp
    M mlir/test/mlir-tblgen/op-attribute.td
    M mlir/tools/mlir-tblgen/OpDefinitionsGen.cpp

  Log Message:
  -----------
  [mlir] Use mlir::OpState::operator->() to get to methods of mlir::Operation. This is a preparation step to remove the corresponding methods from OpState.

Reviewed By: silvas, rriddle

Differential Revision: https://reviews.llvm.org/D92878