MLIR
20.0.0git
include
mlir
Dialect
Transform
IR
Utils.h
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//===- Utils.h - Utils related to the transform dialect ---------*- C++ -*-===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#ifndef MLIR_DIALECT_TRANSFORM_IR_UTILS_H
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#define MLIR_DIALECT_TRANSFORM_IR_UTILS_H
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namespace
mlir
{
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class
InFlightDiagnostic;
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class
Operation;
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template
<
typename
>
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class
OwningOpRef;
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namespace
transform {
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namespace
detail {
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/// Merge all symbols from `other` into `target`. Both ops need to implement the
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/// `SymbolTable` trait. Operations are moved from `other`, i.e., `other` may be
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/// modified by this function and might not verify after the function returns.
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/// Upon merging, private symbols may be renamed in order to avoid collisions in
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/// the result. Public symbols may not collide, with the exception of
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/// instances of `SymbolOpInterface`, where collisions are allowed if at least
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/// one of the two is external, in which case the other op preserved (or any one
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/// of the two if both are external).
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// TODO: Reconsider cloning individual ops rather than forcing users of the
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// function to clone (or move) `other` in order to improve efficiency.
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// This might primarily make sense if we can also prune the symbols that
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// are merged to a subset (such as those that are actually used).
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InFlightDiagnostic
mergeSymbolsInto
(Operation *target,
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OwningOpRef<Operation *> other);
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}
// namespace detail
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}
// namespace transform
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}
// namespace mlir
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#endif
// MLIR_DIALECT_TRANSFORM_IR_UTILS_H
mlir::transform::detail::mergeSymbolsInto
InFlightDiagnostic mergeSymbolsInto(Operation *target, OwningOpRef< Operation * > other)
Merge all symbols from other into target.
Definition:
Utils.cpp:79
mlir
Include the generated interface declarations.
Definition:
LocalAliasAnalysis.h:20
Generated on Sat Dec 21 2024 12:33:47 for MLIR by
1.9.1