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//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
/// \file
///
/// Implements a lazy call graph analysis and related passes for the new pass
/// manager.
///
/// NB: This is *not* a traditional call graph! It is a graph which models both
/// the current calls and potential calls. As a consequence there are many
/// edges in this call graph that do not correspond to a 'call' or 'invoke'
/// instruction.
///
/// The primary use cases of this graph analysis is to facilitate iterating
/// across the functions of a module in ways that ensure all callees are
/// visited prior to a caller (given any SCC constraints), or vice versa. As
/// such is it particularly well suited to organizing CGSCC optimizations such
/// as inlining, outlining, argument promotion, etc. That is its primary use
/// case and motivates the design. It may not be appropriate for other
/// purposes. The use graph of functions or some other conservative analysis of
/// call instructions may be interesting for optimizations and subsequent
/// analyses which don't work in the context of an overly specified
/// potential-call-edge graph.
///
/// To understand the specific rules and nature of this call graph analysis,
/// see the documentation of the \c LazyCallGraph below.
///
//===----------------------------------------------------------------------===//
#ifndef LLVM_ANALYSIS_LAZY_CALL_GRAPH
#define LLVM_ANALYSIS_LAZY_CALL_GRAPH
#include "llvm/ADT/DenseMap.h"
#include "llvm/ADT/PointerUnion.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/IR/Module.h"
#include "llvm/IR/Function.h"
#include "llvm/IR/BasicBlock.h"
#include "llvm/Support/Allocator.h"
#include <iterator>
namespace llvm {
class ModuleAnalysisManager;
class PreservedAnalyses;
class raw_ostream;
/// \brief A lazily constructed view of the call graph of a module.
///
/// With the edges of this graph, the motivating constraint that we are
/// attempting to maintain is that function-local optimization, CGSCC-local
/// optimizations, and optimizations transforming a pair of functions connected
/// by an edge in the graph, do not invalidate a bottom-up traversal of the SCC
/// DAG. That is, no optimizations will delete, remove, or add an edge such
/// that functions already visited in a bottom-up order of the SCC DAG are no
/// longer valid to have visited, or such that functions not yet visited in
/// a bottom-up order of the SCC DAG are not required to have already been
/// visited.
///
/// Within this constraint, the desire is to minimize the merge points of the
/// SCC DAG. The greater the fanout of the SCC DAG and the fewer merge points
/// in the SCC DAG, the more independence there is in optimizing within it.
/// There is a strong desire to enable parallelization of optimizations over
/// the call graph, and both limited fanout and merge points will (artificially
/// in some cases) limit the scaling of such an effort.
///
/// To this end, graph represents both direct and any potential resolution to
/// an indirect call edge. Another way to think about it is that it represents
/// both the direct call edges and any direct call edges that might be formed
/// through static optimizations. Specifically, it considers taking the address
/// of a function to be an edge in the call graph because this might be
/// forwarded to become a direct call by some subsequent function-local
/// optimization. The result is that the graph closely follows the use-def
/// edges for functions. Walking "up" the graph can be done by looking at all
/// of the uses of a function.
///
/// The roots of the call graph are the external functions and functions
/// escaped into global variables. Those functions can be called from outside
/// of the module or via unknowable means in the IR -- we may not be able to
/// form even a potential call edge from a function body which may dynamically
/// load the function and call it.
///
/// This analysis still requires updates to remain valid after optimizations
/// which could potentially change the set of potential callees. The
/// constraints it operates under only make the traversal order remain valid.
///
/// The entire analysis must be re-computed if full interprocedural
/// optimizations run at any point. For example, globalopt completely
/// invalidates the information in this analysis.
///
/// FIXME: This class is named LazyCallGraph in a lame attempt to distinguish
/// it from the existing CallGraph. At some point, it is expected that this
/// will be the only call graph and it will be renamed accordingly.
class LazyCallGraph {
public:
class Node;
typedef SmallVector<PointerUnion<Function *, Node *>, 4> NodeVectorT;
typedef SmallVectorImpl<PointerUnion<Function *, Node *> > NodeVectorImplT;
/// \brief A lazy iterator used for both the entry nodes and child nodes.
///
/// When this iterator is dereferenced, if not yet available, a function will
/// be scanned for "calls" or uses of functions and its child information
/// will be constructed. All of these results are accumulated and cached in
/// the graph.
class iterator : public std::iterator<std::bidirectional_iterator_tag, Node *,
ptrdiff_t, Node *, Node *> {
friend class LazyCallGraph;
friend class LazyCallGraph::Node;
typedef std::iterator<std::bidirectional_iterator_tag, Node *, ptrdiff_t,
Node *, Node *> BaseT;
/// \brief Nonce type to select the constructor for the end iterator.
struct IsAtEndT {};
LazyCallGraph &G;
NodeVectorImplT::iterator NI;
// Build the begin iterator for a node.
explicit iterator(LazyCallGraph &G, NodeVectorImplT &Nodes)
: G(G), NI(Nodes.begin()) {}
// Build the end iterator for a node. This is selected purely by overload.
iterator(LazyCallGraph &G, NodeVectorImplT &Nodes, IsAtEndT /*Nonce*/)
: G(G), NI(Nodes.end()) {}
public:
iterator(const iterator &Arg) : G(Arg.G), NI(Arg.NI) {}
iterator &operator=(iterator Arg) {
std::swap(Arg, *this);
return *this;
}
bool operator==(const iterator &Arg) { return NI == Arg.NI; }
bool operator!=(const iterator &Arg) { return !operator==(Arg); }
reference operator*() const {
if (NI->is<Node *>())
return NI->get<Node *>();
Function *F = NI->get<Function *>();
Node *ChildN = G.get(*F);
*NI = ChildN;
return ChildN;
}
pointer operator->() const { return operator*(); }
iterator &operator++() {
++NI;
return *this;
}
iterator operator++(int) {
iterator prev = *this;
++*this;
return prev;
}
iterator &operator--() {
--NI;
return *this;
}
iterator operator--(int) {
iterator next = *this;
--*this;
return next;
}
};
/// \brief Construct a graph for the given module.
///
/// This sets up the graph and computes all of the entry points of the graph.
/// No function definitions are scanned until their nodes in the graph are
/// requested during traversal.
LazyCallGraph(Module &M);
/// \brief Copy constructor.
///
/// This does a deep copy of the graph. It does no verification that the
/// graph remains valid for the module. It is also relatively expensive.
LazyCallGraph(const LazyCallGraph &G);
#if LLVM_HAS_RVALUE_REFERENCES
/// \brief Move constructor.
///
/// This is a deep move. It leaves G in an undefined but destroyable state.
/// Any other operation on G is likely to fail.
LazyCallGraph(LazyCallGraph &&G);
#endif
iterator begin() { return iterator(*this, EntryNodes); }
iterator end() { return iterator(*this, EntryNodes, iterator::IsAtEndT()); }
/// \brief Lookup a function in the graph which has already been scanned and
/// added.
Node *lookup(const Function &F) const { return NodeMap.lookup(&F); }
/// \brief Get a graph node for a given function, scanning it to populate the
/// graph data as necessary.
Node *get(Function &F) {
Node *&N = NodeMap[&F];
if (N)
return N;
return insertInto(F, N);
}
private:
Module &M;
/// \brief Allocator that holds all the call graph nodes.
SpecificBumpPtrAllocator<Node> BPA;
/// \brief Maps function->node for fast lookup.
DenseMap<const Function *, Node *> NodeMap;
/// \brief The entry nodes to the graph.
///
/// These nodes are reachable through "external" means. Put another way, they
/// escape at the module scope.
NodeVectorT EntryNodes;
/// \brief Set of the entry nodes to the graph.
SmallPtrSet<Function *, 4> EntryNodeSet;
/// \brief Helper to insert a new function, with an already looked-up entry in
/// the NodeMap.
Node *insertInto(Function &F, Node *&MappedN);
/// \brief Helper to copy a node from another graph into this one.
Node *copyInto(const Node &OtherN);
#if LLVM_HAS_RVALUE_REFERENCES
/// \brief Helper to move a node from another graph into this one.
Node *moveInto(Node &&OtherN);
#endif
};
/// \brief A node in the call graph.
///
/// This represents a single node. It's primary roles are to cache the list of
/// callees, de-duplicate and provide fast testing of whether a function is
/// a callee, and facilitate iteration of child nodes in the graph.
class LazyCallGraph::Node {
friend class LazyCallGraph;
LazyCallGraph &G;
Function &F;
mutable NodeVectorT Callees;
SmallPtrSet<Function *, 4> CalleeSet;
/// \brief Basic constructor implements the scanning of F into Callees and
/// CalleeSet.
Node(LazyCallGraph &G, Function &F);
/// \brief Constructor used when copying a node from one graph to another.
Node(LazyCallGraph &G, const Node &OtherN);
#if LLVM_HAS_RVALUE_REFERENCES
/// \brief Constructor used when moving a node from one graph to another.
Node(LazyCallGraph &G, Node &&OtherN);
#endif
public:
typedef LazyCallGraph::iterator iterator;
Function &getFunction() const {
return F;
};
iterator begin() const { return iterator(G, Callees); }
iterator end() const { return iterator(G, Callees, iterator::IsAtEndT()); }
/// Equality is defined as address equality.
bool operator==(const Node &N) const { return this == &N; }
bool operator!=(const Node &N) const { return !operator==(N); }
};
// Provide GraphTraits specializations for call graphs.
template <> struct GraphTraits<LazyCallGraph::Node *> {
typedef LazyCallGraph::Node NodeType;
typedef LazyCallGraph::iterator ChildIteratorType;
static NodeType *getEntryNode(NodeType *N) { return N; }
static ChildIteratorType child_begin(NodeType *N) { return N->begin(); }
static ChildIteratorType child_end(NodeType *N) { return N->end(); }
};
template <> struct GraphTraits<LazyCallGraph *> {
typedef LazyCallGraph::Node NodeType;
typedef LazyCallGraph::iterator ChildIteratorType;
static NodeType *getEntryNode(NodeType *N) { return N; }
static ChildIteratorType child_begin(NodeType *N) { return N->begin(); }
static ChildIteratorType child_end(NodeType *N) { return N->end(); }
};
/// \brief An analysis pass which computes the call graph for a module.
class LazyCallGraphAnalysis {
public:
/// \brief Inform generic clients of the result type.
typedef LazyCallGraph Result;
static void *ID() { return (void *)&PassID; }
/// \brief Compute the \c LazyCallGraph for a the module \c M.
///
/// This just builds the set of entry points to the call graph. The rest is
/// built lazily as it is walked.
LazyCallGraph run(Module *M) { return LazyCallGraph(*M); }
private:
static char PassID;
};
/// \brief A pass which prints the call graph to a \c raw_ostream.
///
/// This is primarily useful for testing the analysis.
class LazyCallGraphPrinterPass {
raw_ostream &OS;
public:
explicit LazyCallGraphPrinterPass(raw_ostream &OS);
PreservedAnalyses run(Module *M, ModuleAnalysisManager *AM);
static StringRef name() { return "LazyCallGraphPrinterPass"; }
};
}
#endif
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