The MLIR classes Type/Attribute/Operation/Op/Value support cast/dyn_cast/isa/dyn_cast_or_null functionality through llvm's doCast functionality in addition to defining methods with the same name. This change begins the migration of uses of the method to the corresponding function call as has been decided as more consistent. Note that there still exist classes that only define methods directly, such as AffineExpr, and this does not include work currently to support a functional cast/isa call. Context: - https://mlir.llvm.org/deprecation/ at "Use the free function variants for dyn_cast/cast/isa/…" - Original discussion at https://discourse.llvm.org/t/preferred-casting-style-going-forward/68443 Implementation: This patch updates all remaining uses of the deprecated functionality in mlir/. This was done with clang-tidy as described below and further modifications to GPUBase.td and OpenMPOpsInterfaces.td. Steps are described per line, as comments are removed by git: 0. Retrieve the change from the following to build clang-tidy with an additional check: main...tpopp:llvm-project:tidy-cast-check 1. Build clang-tidy 2. Run clang-tidy over your entire codebase while disabling all checks and enabling the one relevant one. Run on all header files also. 3. Delete .inc files that were also modified, so the next build rebuilds them to a pure state. ``` ninja -C $BUILD_DIR clang-tidy run-clang-tidy -clang-tidy-binary=$BUILD_DIR/bin/clang-tidy -checks='-*,misc-cast-functions'\ -header-filter=mlir/ mlir/* -fix rm -rf $BUILD_DIR/tools/mlir/**/*.inc ``` Differential Revision: https://reviews.llvm.org/D151542
166 lines
6.0 KiB
C++
166 lines
6.0 KiB
C++
//===- DenseAnalysis.cpp - Dense data-flow analysis -----------------------===//
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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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#include "mlir/Analysis/DataFlow/DenseAnalysis.h"
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#include "mlir/Analysis/DataFlow/DeadCodeAnalysis.h"
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#include "mlir/Interfaces/CallInterfaces.h"
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#include "mlir/Interfaces/ControlFlowInterfaces.h"
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using namespace mlir;
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using namespace mlir::dataflow;
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//===----------------------------------------------------------------------===//
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// AbstractDenseDataFlowAnalysis
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//===----------------------------------------------------------------------===//
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LogicalResult AbstractDenseDataFlowAnalysis::initialize(Operation *top) {
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// Visit every operation and block.
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processOperation(top);
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for (Region ®ion : top->getRegions()) {
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for (Block &block : region) {
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visitBlock(&block);
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for (Operation &op : block)
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if (failed(initialize(&op)))
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return failure();
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}
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}
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return success();
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}
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LogicalResult AbstractDenseDataFlowAnalysis::visit(ProgramPoint point) {
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if (auto *op = llvm::dyn_cast_if_present<Operation *>(point))
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processOperation(op);
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else if (auto *block = llvm::dyn_cast_if_present<Block *>(point))
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visitBlock(block);
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else
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return failure();
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return success();
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}
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void AbstractDenseDataFlowAnalysis::processOperation(Operation *op) {
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// If the containing block is not executable, bail out.
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if (!getOrCreateFor<Executable>(op, op->getBlock())->isLive())
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return;
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// Get the dense lattice to update.
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AbstractDenseLattice *after = getLattice(op);
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// If this op implements region control-flow, then control-flow dictates its
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// transfer function.
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if (auto branch = dyn_cast<RegionBranchOpInterface>(op))
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return visitRegionBranchOperation(op, branch, after);
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// If this is a call operation, then join its lattices across known return
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// sites.
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if (auto call = dyn_cast<CallOpInterface>(op)) {
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const auto *predecessors = getOrCreateFor<PredecessorState>(op, call);
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// If not all return sites are known, then conservatively assume we can't
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// reason about the data-flow.
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if (!predecessors->allPredecessorsKnown())
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return setToEntryState(after);
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for (Operation *predecessor : predecessors->getKnownPredecessors())
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join(after, *getLatticeFor(op, predecessor));
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return;
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}
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// Get the dense state before the execution of the op.
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const AbstractDenseLattice *before;
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if (Operation *prev = op->getPrevNode())
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before = getLatticeFor(op, prev);
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else
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before = getLatticeFor(op, op->getBlock());
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// Invoke the operation transfer function.
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visitOperationImpl(op, *before, after);
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}
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void AbstractDenseDataFlowAnalysis::visitBlock(Block *block) {
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// If the block is not executable, bail out.
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if (!getOrCreateFor<Executable>(block, block)->isLive())
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return;
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// Get the dense lattice to update.
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AbstractDenseLattice *after = getLattice(block);
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// The dense lattices of entry blocks are set by region control-flow or the
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// callgraph.
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if (block->isEntryBlock()) {
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// Check if this block is the entry block of a callable region.
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auto callable = dyn_cast<CallableOpInterface>(block->getParentOp());
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if (callable && callable.getCallableRegion() == block->getParent()) {
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const auto *callsites = getOrCreateFor<PredecessorState>(block, callable);
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// If not all callsites are known, conservatively mark all lattices as
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// having reached their pessimistic fixpoints.
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if (!callsites->allPredecessorsKnown())
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return setToEntryState(after);
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for (Operation *callsite : callsites->getKnownPredecessors()) {
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// Get the dense lattice before the callsite.
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if (Operation *prev = callsite->getPrevNode())
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join(after, *getLatticeFor(block, prev));
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else
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join(after, *getLatticeFor(block, callsite->getBlock()));
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}
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return;
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}
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// Check if we can reason about the control-flow.
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if (auto branch = dyn_cast<RegionBranchOpInterface>(block->getParentOp()))
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return visitRegionBranchOperation(block, branch, after);
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// Otherwise, we can't reason about the data-flow.
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return setToEntryState(after);
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}
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// Join the state with the state after the block's predecessors.
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for (Block::pred_iterator it = block->pred_begin(), e = block->pred_end();
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it != e; ++it) {
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// Skip control edges that aren't executable.
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Block *predecessor = *it;
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if (!getOrCreateFor<Executable>(
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block, getProgramPoint<CFGEdge>(predecessor, block))
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->isLive())
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continue;
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// Merge in the state from the predecessor's terminator.
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join(after, *getLatticeFor(block, predecessor->getTerminator()));
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}
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}
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void AbstractDenseDataFlowAnalysis::visitRegionBranchOperation(
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ProgramPoint point, RegionBranchOpInterface branch,
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AbstractDenseLattice *after) {
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// Get the terminator predecessors.
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const auto *predecessors = getOrCreateFor<PredecessorState>(point, point);
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assert(predecessors->allPredecessorsKnown() &&
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"unexpected unresolved region successors");
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for (Operation *op : predecessors->getKnownPredecessors()) {
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const AbstractDenseLattice *before;
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// If the predecessor is the parent, get the state before the parent.
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if (op == branch) {
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if (Operation *prev = op->getPrevNode())
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before = getLatticeFor(point, prev);
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else
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before = getLatticeFor(point, op->getBlock());
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// Otherwise, get the state after the terminator.
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} else {
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before = getLatticeFor(point, op);
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}
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join(after, *before);
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}
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}
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const AbstractDenseLattice *
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AbstractDenseDataFlowAnalysis::getLatticeFor(ProgramPoint dependent,
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ProgramPoint point) {
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AbstractDenseLattice *state = getLattice(point);
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addDependency(state, dependent);
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return state;
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}
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