en Copyright 2015 Java http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#63237cdd [mlir][NFC] Update textual references of `func` to `func.func` in tool/runner testsThe special case parsing of `func` operations is being removed. List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Wed, 20 Apr 2022 23:21:36 +0000 River Riddle <riddleriver@gmail.com> http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#ace01605 [mlir] Split out a new ControlFlow dialect from StandardThis dialect is intended to model lower level/branch based control-flow constructs. The initial setof operations are: AssertOp, BranchOp, CondBranchOp, SwitchOp; all split out from the currentstandard dialect.See https://discourse.llvm.org/t/standard-dialect-the-final-chapter/6061Differential Revision: https://reviews.llvm.org/D118966 List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Fri, 04 Feb 2022 04:59:43 +0000 River Riddle <riddleriver@gmail.com> http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#c484c7dd [mlir-reduce] Reducer refactor.* A Reducer is a kind of RewritePattern, so it's just the same aswriting graph rewrite.* ReductionTreePass operates on Operation rather than ModuleOp, so that* we are able to reduce a nested structure(e.g., module in module) by* self-nesting.Reviewed By: jpienaar, rriddleDifferential Revision: https://reviews.llvm.org/D101046 List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Tue, 01 Jun 2021 23:00:19 +0000 Chia-hung Duan <chiahungduan@google.com> http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#222d30d3 Use PassPipelineCLParser in mlir-reduceWe are able to config the reducer pass pipeline through command-line.Reviewed By: jpienaar, rriddleDifferential Revision: https://reviews.llvm.org/D100155 List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Wed, 14 Apr 2021 21:34:17 +0000 Chia-hung Duan <chiahungduan@google.com> http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#e2310704 [MLIR] Create memref dialect and move dialect-specific ops from std.Create the memref dialect and move dialect-specific opsfrom std dialect to this dialect.Moved ops:AllocOp -> MemRef_AllocOpAllocaOp -> MemRef_AllocaOpAssumeAlignmentOp -> MemRef_AssumeAlignmentOpDeallocOp -> MemRef_DeallocOpDimOp -> MemRef_DimOpMemRefCastOp -> MemRef_CastOpMemRefReinterpretCastOp -> MemRef_ReinterpretCastOpGetGlobalMemRefOp -> MemRef_GetGlobalOpGlobalMemRefOp -> MemRef_GlobalOpLoadOp -> MemRef_LoadOpPrefetchOp -> MemRef_PrefetchOpReshapeOp -> MemRef_ReshapeOpStoreOp -> MemRef_StoreOpSubViewOp -> MemRef_SubViewOpTransposeOp -> MemRef_TransposeOpTensorLoadOp -> MemRef_TensorLoadOpTensorStoreOp -> MemRef_TensorStoreOpTensorToMemRefOp -> MemRef_BufferCastOpViewOp -> MemRef_ViewOpThe roadmap to split the memref dialect from std is discussed here:https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667Differential Revision: https://reviews.llvm.org/D98041 List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Wed, 10 Feb 2021 12:53:11 +0000 Julian Gross <julian.gross@dfki.de> http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#a89035d7 Revert "[MLIR] Create memref dialect and move several dialect-specific ops from std."This commit introduced a cyclic dependency:Memref dialect depends on Standard because it used ConstantIndexOp.Std depends on the MemRef dialect in its EDSC/Intrinsics.hWorking on a fix.This reverts commit 8aa6c3765b924d86f623d452777eb76b83bf2787. List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Thu, 18 Feb 2021 11:49:52 +0000 Alexander Belyaev <pifon@google.com> http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#8aa6c376 [MLIR] Create memref dialect and move several dialect-specific ops from std.Create the memref dialect and move several dialect-specific ops withoutdependencies to other ops from std dialect to this dialect.Moved ops:AllocOp -> MemRef_AllocOpAllocaOp -> MemRef_AllocaOpDeallocOp -> MemRef_DeallocOpMemRefCastOp -> MemRef_CastOpGetGlobalMemRefOp -> MemRef_GetGlobalOpGlobalMemRefOp -> MemRef_GlobalOpPrefetchOp -> MemRef_PrefetchOpReshapeOp -> MemRef_ReshapeOpStoreOp -> MemRef_StoreOpTransposeOp -> MemRef_TransposeOpViewOp -> MemRef_ViewOpThe roadmap to split the memref dialect from std is discussed here:https://llvm.discourse.group/t/rfc-split-the-memref-dialect-from-std/2667Differential Revision: https://reviews.llvm.org/D96425 List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Wed, 10 Feb 2021 12:53:11 +0000 Julian Gross <julian.gross@dfki.de> http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#09dbdcf1 [mlir, win] Mark several MLRI tests as unsupported on system-windowsThey are currently marked as unsupported when windows is part of the triple, but they actually fail when they are run on Windows, so they are unsupported on system-windowsReviewed By: rriddleDifferential Revision: https://reviews.llvm.org/D89169 List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Fri, 09 Oct 2020 23:27:50 +0000 Stella Stamenova <stilis@microsoft.com> http://172.16.0.5:8080/history/llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir#8f4859d3 Create Optimization Pass Wrapper for MLIR ReduceCreate a reduction pass that accepts an optimization pass as argumentand only replaces the golden module in the pipeline if the output of theoptimization pass is smaller than the input and still exhibits theinteresting behavior.Add a -test-pass option to test individual passes in the MLIR Reducetool.Reviewed By: jpienaarDifferential Revision: https://reviews.llvm.org/D84783 List of files: /llvm-project-15.0.7/mlir/test/mlir-reduce/multiple-function.mlir Tue, 18 Aug 2020 16:47:06 +0000 Mauricio Sifontes <sifontes@google.com>