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ObjC methods as top level.
This allows us to better reason about(inline) small wrapper functions.
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Redefine the shallow mode to inline all functions for which we have a
definite definition (ipa=inlining). However, only inline functions that
are up to 4 basic blocks large and cut the max exploded nodes generated
per top level function in half.
This makes shallow faster and allows us to keep inlining small
functions. For example, we would keep inlining wrapper functions and
constructors/destructors.
With the new shallow, it takes 104s to analyze sqlite3, whereas
the deep mode is 658s and previous shallow is 209s.
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Removes a duplicate #include as well as cleaning up some sort order
regressions since I last ran the script over Clang.
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deterministic.
Commit message for r170826:
[analyzer] Traverse the Call Graph in topological order.
Modify the call graph by removing the parentless nodes. Instead all
nodes are children of root to ensure they are all reachable. Remove the
tracking of nodes that are "top level" or global. This information is
not used and can be obtained from the Decls stored inside
CallGraphNodes.
Instead of existing ordering hacks, analyze the functions in topological
order over the Call Graph.
Together with the addition of devirtualizable ObjC message sends and
blocks to the call graph, this gives around 6% performance improvement
on several large ObjC benchmarks.
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./bin/clang -cc1 -internal-isystem /home/espindola/llvm/build/lib/clang/3.3/include/ -analyze -analyzer-checker=debug.DumpCallGraph /home/espindola/llvm/clang/test/Analysis/debug-CallGraph.c -fblocks
changes in each run.
git-svn-id: https://llvm.org/svn/llvm-project/cfe/trunk@170829 91177308-0d34-0410-b5e6-96231b3b80d8
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Modify the call graph by removing the parentless nodes. Instead all
nodes are children of root to ensure they are all reachable. Remove the
tracking of nodes that are "top level" or global. This information is
not used and can be obtained from the Decls stored inside
CallGraphNodes.
Instead of existing ordering hacks, analyze the functions in topological
order over the Call Graph.
Together with the addition of devirtualizable ObjC message sends and
blocks to the call graph, this gives around 6% performance improvement
on several large ObjC benchmarks.
git-svn-id: https://llvm.org/svn/llvm-project/cfe/trunk@170826 91177308-0d34-0410-b5e6-96231b3b80d8
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This paves the road for constructing a better function dependency graph.
If we analyze a function before the functions it calls and inlines,
there is more opportunity for optimization.
Note, we add call edges to the called methods that correspond to
function definitions (declarations with bodies).
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accessible there.
This is plumbing needed for later functionality changes.
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top level.
This heuristic is already turned on for non-ObjC methods
(inlining-mode=noredundancy). If a method has been previously analyzed,
while being inlined inside of another method, do not reanalyze it as top
level.
This commit applies it to ObjCMethods as well. The main caveat here is
that to catch the retain release errors, we are still going to reanalyze
all the ObjC methods but without inlining turned on.
Gives 21% performance increase on one heavy ObjC benchmark, which
suffered large performance regressions due to ObjC inlining.
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uncovered.
This required manually correcting all of the incorrect main-module
headers I could find, and running the new llvm/utils/sort_includes.py
script over the files.
I also manually added quite a few missing headers that were uncovered by
shuffling the order or moving headers up to be main-module-headers.
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...but do run them on user headers.
Previously, we were inconsistent here: non-path-sensitive checks on code
/bodies/ were only run in the main source file, but checks on
/declarations/ were run in /all/ headers. Neither of those is the
behavior we want.
Thanks to Sujit for pointing this out!
<rdar://problem/12454226>
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No functionality change.
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AnalysisManager, allowing the StringMap of configuration values to
be propagated.
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PathDiagnostics are actually profiled and uniqued independently of the
path on which the bug occurred. This is used to merge diagnostics that
refer to the same issue along different paths, as well as by the plist
diagnostics to reference files created by the HTML diagnostics.
However, there are two problems with the current implementation:
1) The bug description is included in the profile, but some
PathDiagnosticConsumers prefer abbreviated descriptions and some
prefer verbose descriptions. Fixed by including both descriptions in
the PathDiagnostic objects and always using the verbose one in the profile.
2) The "minimal" path generation scheme provides extra information about
which events came from macros that the "extensive" scheme does not.
This resulted not only in different locations for the plist and HTML
diagnostics, but also in diagnostics being uniqued in the plist output
but not in the HTML output. Fixed by storing the "end path" location
explicitly in the PathDiagnostic object, rather than trying to find the
last piece of the path when the diagnostic is requested.
This should hopefully finish unsticking our internal buildbot.
git-svn-id: https://llvm.org/svn/llvm-project/cfe/trunk@162965 91177308-0d34-0410-b5e6-96231b3b80d8
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reanalyzed.
The policy on what to reanalyze should be in AnalysisConsumer with the
rest of visitation order logic.
There is no reason why ExprEngine needs to pass the Visited set to
CoreEngine, it can populate it itself.
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'visualizeExplodedGraphWithUbigGraph'
and 'visualizeExplodedGraphWithGraphViz' respectively.
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individual flags.
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a comma separated collection of key:value pairs (which are strings). This
allows a general way to provide analyzer configuration data from the command line.
No clients yet.
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same time.
This fixes several issues:
- removes egregious hack where PlistDiagnosticConsumer would forward to HTMLDiagnosticConsumer,
but diagnostics wouldn't be generated consistently in the same way if PlistDiagnosticConsumer
was used by itself.
- emitting diagnostics to the terminal (using clang's diagnostic machinery) is no longer a special
case, just another PathDiagnosticConsumer. This also magically resolved some duplicate warnings,
as we now use PathDiagnosticConsumer's diagnostic pruning, which has scope for the entire translation
unit, not just the scope of a BugReporter (which is limited to a particular ExprEngine).
As an interesting side-effect, diagnostics emitted to the terminal also have their trailing "." stripped,
just like with diagnostics emitted to plists and HTML. This required some tests to be updated, but now
the tests have higher fidelity with what users will see.
There are some inefficiencies in this patch. We currently generate the report graph (from the ExplodedGraph)
once per PathDiagnosticConsumer, which is a bit wasteful, but that could be pulled up higher in the
logic stack. There is some intended duplication, however, as we now generate different PathDiagnostics (for the same issue)
for different PathDiagnosticConsumers. This is necessary to produce the diagnostics that a particular
consumer expects.
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analyzer stats from scan-build output.
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we are encountering some scalability issues with memory usage. The
appropriate long term fix is to make the analysis more scalable, but
this will at least prevent the analyzer swapping when
analyzing very large functions.
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whose parent
in the call graph had been inlined but for whatever reason we did not inline some
of its callees.
Also, fix a related traversal bug where we meant to do a BFS of the callgraph but
instead were doing a DFS.
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We should lock the number of elements after the initial parsing is
complete. Recursive AST visitors in AnalyzesConsumer and CallGarph can
trigger lazy pch deserialization resulting in more calls to
HandleTopLevelDecl and appending to the LocalTUDecls list. We should
ignore those.
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Follow up in r155693, r155680.
Prevents a hard to reproduce crash with the following stack trace:
3 libsystem_c.dylib 0x00007ff55a835050 _sigtramp + 18446744029881443184
4 clang 0x0000000106218e97 (anonymous
namespace)::AnalysisConsumer::HandleTranslationUnit(clang::ASTContext&)
+ 519
5 clang 0x0000000105cf3002 clang::ParseAST(clang::Sema&,
bool, bool) + 690
6 clang 0x00000001059a41d8
clang::ASTFrontendAction::ExecuteAction() + 312
7 clang 0x00000001059a3df7 clang::FrontendAction::Execute()
+ 231
8 clang 0x00000001059b0ecc
clang::CompilerInstance::ExecuteAction(clang::FrontendAction&) + 860
9 clang 0x000000010595e451
clang::ExecuteCompilerInvocation(clang::CompilerInstance*) + 961
10 clang 0x0000000105947f29 cc1_main(char const**, char
const**, char const*, void*) + 969
11 clang 0x0000000105958259 main + 473
12 clang 0x0000000105947b34 start + 52
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cross-TU inlining never panned out.
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file order that functions are visited. Should fix the buildbots.
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instead
of a mutable SmallPtrSet. While iterating over LocalTUDecls, there were cases
where we could modify LocalTUDecls, which could result in invalidating an iterator
and an analyzer crash. Along the way, switch some uses of std::queue to std::dequeue,
which should be slightly more efficient.
Unfortunately, this is a difficult case to create a test case for.
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We should not deserialize unused declarations from the PCH file. Achieve
this by storing the top level declarations during parsing
(HandleTopLevelDecl ASTConsumer callback) and analyzing/building a call
graph only for those.
Tested the patch on a sample ObjC file that uses PCH. With the patch,
the analyzes is 17.5% faster and clang consumes 40% less memory.
Got about 10% overall build/analyzes time decrease on a large Objective
C project.
A bit of CallGraph refactoring/cleanup as well..
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The ASTConsumer does not get deleted with clang --analyze (for
performance reasons), we still want the diagnostics to work.
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Store this info inside the function summary generated for all analyzed
functions. This is useful for coverage stats and can be helpful for
analyzer state space search strategies.
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count.
This is an optimization for "retry without inlining" option. Here, if we
failed to inline a function due to reaching the basic block max count,
we are going to store this information and not try to inline it
again in the translation unit. This can be viewed as a function summary.
On sqlite, with this optimization, we are 30% faster then before and
cover 10% more basic blocks (partially because the number of times we
reach timeout is decreased by 20%).
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The analyzer gives up path exploration under certain conditions. For
example, when the same basic block has been visited more than 4 times.
With inlining turned on, this could lead to decrease in code coverage.
Specifically, if we give up inside the inlined function, the rest of
parent's basic blocks will not get analyzed.
This commit introduces an option to enable re-run along the failed path,
in which we do not inline the last inlined call site. This is done by
enqueueing the node before the processing of the inlined call site
with a special policy encoded in the state. The policy tells us not to
inline the call site along the path.
This lead to ~10% increase in the number of paths analyzed. Even though
we expected a much greater coverage improvement.
The option is turned off by default for now.
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analyzes.
(This method can be called twice on the same function.)
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inlining to be the reverse of their declaration.
This optimizes running time under inlining up to 20% since we do not
re-analyze the utility functions which are usually defined first in the
translation unit if they have already been analyzed while inlined into
the root functions.
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BFS should give slightly better performance. Ex: Suppose, we have two
roots R1 and R2. A callee function C is reachable through both. However,
C is not inlined when analyzing R1 due to inline stack depth limit. With
DFS, C will be analyzed as top level even though it would be analyzed as
inlined through R2. On the other hand, BFS could avoid analyzing C as
top level.
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collecting function Decls.
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AnalysisConsumer.
As a result:
- We now analyze the C++ methods which are defined within the
class body. These were completely skipped before.
- Ensure that AST checkers are called on functions in the
order they are defined in the Translation unit.
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function.
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