constructs default arguments. It can now take default arguments from
cl::opt'ions. Add a new -default-gcov-version=... option, and actually test it!
Sink the reverse-order of the version into GCOVProfiling, hiding it from our
users.
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into the actual gcov file.
Instead of using the bottom 4 bytes as the function identifier, use a counter.
This makes the identifier numbers stable across multiple runs.
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passing a null pointer to the function name in to GCDAProfiling, and add another
switch onto GCOVProfiling.
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The `-mno-red-zone' flag wasn't being propagated to the functions that code
coverage generates. This allowed some of them to use the red zone when that
wasn't allowed.
<rdar://problem/12843084>
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instrument the program to emit .gcda.
TODO: we should emit slightly different .gcda files when .gcno emission is off.
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does. Also mostly implement it. Still a work-in-progress, but generates legal
output on crafted test cases.
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Use debug info in the IR to find the directory/file:line:col. Each time that location changes, bump a counter.
Unlike the existing profiling system, we don't try to look at argv[], and thusly don't require main() to be present in the IR. This matches GCC's technique where you specify the profiling flag when producing each .o file.
The runtime library is minimal, currently just calling printf at program shutdown time. The API is designed to make it possible to emit GCOV data later on.
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Modified patch by Adam Preuss.
This builds on the existing framework for block tracing, edge profiling and optimal edge profiling.
See -help-hidden for new flags.
For documentation, see the technical report "Implementation of Path Profiling..." in llvm.org/pubs.
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The code is organized into 3 parts (2 passes)
1) a linked set of profiling passes, which implement an analysis group (linked, like alias analysis are). These insert profiling into the program, and remember what they inserted, so that at a later time they can be queried about any instruction.
2) a pass that handles inserting the random sampling framework. This also has options to control how random samples are choosen. Currently implemented are Global counters, register allocated global counters, and read cycle counter (see? there was a reason for it).
The profiling passes are almost identical to the existing ones (block, function, and null profiling is supported right now), and they are valid passes without the sampling framework (hence the existing passes can be unified with the new ones, not done yet).
Some things are a bit ugly still, but that should be fixed up soon enough.
Other todo? making the counter values not "magic 2^16 -1" values, but dynamically choosable.
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