Some cl::ZeroOrMore were added to avoid the `may only occur zero or one times!`
error. More were added due to cargo cult. Since the error has been removed,
cl::ZeroOrMore is unneeded.
Also remove cl::init(false) while touching the lines.
As a follow up to {D123271}, LBR ranges that are too big should also be considered as invalid.
For example, the last two pairs in the following trace form a range [0x0d7b02b0, 0x368ba706] that covers a ton of functions in the binary. Such oversized range should also be ignored.
0x0c74505f/0x368b99a0 **0x368ba706**/0x0c745040 0x0d7b1c3f/**0x0d7b02b0**
Add a defensive check to filter out those ranges based that the valid range should not cross the unconditional branch(Call, return, unconditional jmp).
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D125448
This patch is fixing two issues for both CS and non-CS.
1) For external-call-internal, the head samples of the the internal function should be recorded.
2) avoid ignoring LBR after meeting the interrupt branch for CS profile
LBR parser is shared between CS and non-CS, we found it's error-prone while dealing with artificial branch inside LBR parser. Since artificial branch is mainly used for CS profile unwinding, this patch tries to simplify LBR parser by decoupling artificial branch code from it, the concept of artificial branch is removed and split into two transitional branches(internal-to-external, external-to-internal). Then we leave all the processing of external branch to unwinder.
Specifically for unwinder, remembering that we introduce external frame in https://reviews.llvm.org/D115550. We can just take external address as a regular address and reuse current unwind function(unwindCall, unwindReturn). For a normal case, the external frame will match an external LBR, and it will be filtered out by `unwindLinear` without losing any context.
The data also shows that the interrupt or standalone LBR pattern(unpaired case) does exist, we choose to handle it by clearing the call stack and keeping unwinding. Here we leverage checking in `unwindLinear`, because a standalone LBR, no matter its type, since it doesn’t have other part to pair, it will eventually cause a wrong linear range, like [external, internal], [internal, external]. Then set the state to invalid there.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D118177
Complete pseudo probes decoding can result in large memory usage. In practice only a small porting of the decoded probes are used in profile generation. I'm changing the full decoding mode to be decoding for profiled functions only, though we still do a full scan of the .pseudoprobe section due to a missing table-of-content but we don't have to build the in-memory data structure for functions not sampled.
To build the in-memory data structure for profiled functions only, I'm rewriting the previous non-recursive probe decoding logic to be recursive. This is easy to read and maintain.
I also have to change the previous representation of unsymbolized context from probe-based stack to address-based stack since the profiled functions are unknown yet by the time of virtual unwinding. The address-based stack will be converted to probe-based stack after virtual unwinding and on-demand probe decoding.
I'm seeing 20GB memory is saved for one of our internal large service.
Reviewed By: wenlei
Differential Revision: https://reviews.llvm.org/D121643
Support to load debug info from dwarf split file, like .dwo, .dwp files. Leverage the `getNonSkeletonUnitDIE(false)` API to achieve this.
Add test cause to make sure all the ranges is well retrieved by the loader.
Reviewed By: ayermolo, hoy, wenlei
Differential Revision: https://reviews.llvm.org/D115973
Tracking optimized-away inlinees based on all probes in a binary is expansive in terms of memory usage I'm making the tracking on-demand based on profiled functions only. This saves about 10% memory overall for a medium-sized benchmark.
Before:
note: After parsePerfTraces
note: Thu Jan 27 18:42:09 2022
note: VM: 8.68 GB RSS: 8.39 GB
note: After computeSizeForProfiledFunctions
note: Thu Jan 27 18:42:41 2022
note: **VM: 10.63 GB RSS: 10.20 GB**
note: After generateProbeBasedProfile
note: Thu Jan 27 18:45:49 2022
note: VM: 25.00 GB RSS: 24.95 GB
note: After postProcessProfiles
note: Thu Jan 27 18:49:29 2022
note: VM: 26.34 GB RSS: 26.27 GB
After:
note: After parsePerfTraces
note: Fri Jan 28 12:04:49 2022
note: VM: 8.68 GB RSS: 7.65 GB
note: After computeSizeForProfiledFunctions
note: Fri Jan 28 12:05:26 2022
note: **VM: 8.68 GB RSS: 8.42 GB**
note: After generateProbeBasedProfile
note: Fri Jan 28 12:08:03 2022
note: VM: 22.93 GB RSS: 22.89 GB
note: After postProcessProfiles
note: Fri Jan 28 12:11:30 2022
note: VM: 24.27 GB RSS: 24.22 GB
This should be a no-diff change in terms of profile quality.
Reviewed By: wenlei
Differential Revision: https://reviews.llvm.org/D118515
For reducing binary size purpose, the binary's debug info and executable segment can be separated(like using objcopy --only-keep-debug). Here add support in llvm-profgen to use two binaries as input. The original one is executable binary and added for debug info only binary. Adding a flag `--debug-binary=file-path`, with this, the binary will load debug info from debug binary.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D115948
Since total sample and body sample are used to compute hotness threshold in compiler, we found in some services changing the total samples computation will cause noticeable regression. Hence, here we will revert the changes and just keep all total samples number identical to the old tool.
Three changes in this diff:
1. Revert previous diff(https://reviews.llvm.org/D112672: [llvm-profgen] Update total samples by accumulating all its body samples) and put it under a switch.
2. Keep the negative line number. Although compiler doesn't consume the count but it will be used to compute hot threshold.
3. Change to accumulate total samples per byte instead of per instruction.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D115013
In order to support generating profile with FS discriminator, three kind of changes are done in llvm-profgen:
1) Dissassemble .rodata section to check if FS discriminator var ('"__llvm_fs_discriminator__"') exists and set the corresponding flag in the binary.
2) Change the discriminator decoding in `getBaseDiscriminator` and `getDuplicationFactor`.
3) set true for `FunctionSamples::ProfileIsFS` to enable FS functionality in ProfileData.
Reviewed By: xur, hoy, wenlei
Differential Revision: https://reviews.llvm.org/D113296
Adding `-use-loadable-segment-as-base` to allow use of first loadable segment for calculating offset. By default first executable segment is used for calculating offset. The switch helps compatibility with unsymbolized profile generated from older tools.
Differential Revision: https://reviews.llvm.org/D113727
Previously we set `isFuncEntry` flag to true when the funcName from DWARF is equal to the name in symbol table and we use this flag to ignore reporting callsite sample that's from an intra func branch. However, in HHVM, it appears that the symbol table name is inconsistent with the dwarf info func name, it's likely due to `OptimizeGlobalAliases`.
This change is a workaround in llvm-profgen side to mark the only one range as the function entry and add warnings for the remaining inconsistence.
This also fixed a missing `getCanonicalFnName` for symbol name which caused the mismatching as well.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D113492
Previously we assume there're some non-executing sections at the bottom of the text section so that we won't hit the array's bound. But on BOLTed binary, it turned out .bolt section is at the bottom of text section which can be profiled, then it crash llvm-profgen. This change try to fix it.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D113238
Two things in this diff:
1) Warn on the invalid range, currently three types of checking, see the detailed message in the code.
2) In some situation, llvm-profgen gives lots of warnings on the truncated stacks which is noisy. This change provides a switch to `--show-detailed-warning` to skip the warnings. Alternatively, we use a summary for those warning and show the percentage of cases with those issues.
Example of warning summary.
```
warning: 0.05%(1120/2428958) cases with issue: Profile context truncated due to missing probe for call instruction.
warning: 0.00%(2/178637) cases with issue: Range does not belong to any functions, likely from external function.
```
Reviewed By: hoy
Differential Revision: https://reviews.llvm.org/D111902
Like probe-based profile, the total samples is the sum of all its body samples. This patch fix it by a post-processing update for the line-number based profile. Tested it on our internal services, results showed no performance change.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D112672
This patch fixes:
llvm/tools/llvm-profgen/ProfiledBinary.cpp:357:12: error: variable
'EndOffset' set but not used [-Werror,-Wunused-but-set-variable]
The last use of the variable was removed on Oct 26 in commit
40ca411251.
Previous implementation of populating profile symbol list is wrong, it only included the profiled symbols. Actually it should use all symbols, here this switches to use the symbols from debug info. Also turned the flag off by default.
Reviewed By: wenlei, hoy
Differential Revision: https://reviews.llvm.org/D111824
It happened a bug that some callsite name in the profile is not a real function, it turned out that there're some non-function symbol from the ELF text section, e.g. the global accessible branch label and also recalled that we can have one function being split into multiple ranges. We shouldn't count samples for those are not the entry of the real function.
So this change tried to fix this issue by switching to use the name or ranges from DWARF-based debug info, the range of which assure it's the real function start. For the split functions, we assume that the real entry function's DWARF name should always match the symbol table name.
The switching is also consistent with the body samples' symbol which is from DWARF.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D112282
Add `-use-dwarf-correlation` switch to allow llvm-profgen to generate AutoFDO profile for binaries built with CSSPGO (pseudo-probe).
Differential Revision: https://reviews.llvm.org/D111776
This moves the registry higher in the LLVM library dependency stack.
Every client of the target registry needs to link against MC anyway to
actually use the target, so we might as well move this out of Support.
This allows us to ensure that Support doesn't have includes from MC/*.
Differential Revision: https://reviews.llvm.org/D111454
This change adds duplication factor multiplier while accumulating body samples for line-number based profile. The body sample count will be `duplication-factor * count`. Base discriminator and duplication factor is decoded from the raw discriminator, this requires some refactor works.
Differential Revision: https://reviews.llvm.org/D109934
We used the segment alignment in elf header to assume the loader alignment. However this is incorrect because loader alignment is always the same as page size. If segment needs to be aligned at load time, linker will set aligned address as virtual address in elf header.
Differential Revision: https://reviews.llvm.org/D110795
Similar to https://reviews.llvm.org/D110465, we can compute function size on-demand for the functions that's hit by samples.
Here we leverage the raw range samples' address to compute a set of sample hit function. Then `BinarySizeContextTracker` just works on those function range for the size.
Reviewed By: hoy
Differential Revision: https://reviews.llvm.org/D110466
Previously we do symbolization for all the functions and actually we only need the symbols that's hit by the samples.
This can significantly speed up the time for large size binary.
Optimization for per-inliner will come along with next patch.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D110465
In order to be consistent with compiler that interprets zero count as unexecuted(cold), this change reports zero-value count for unexecuted part of function code. For the implementation, it leverages the range counter, initializes all the executed function range with the zero-value. After all ranges are merged and converted into disjoint ranges, the remaining zero count will indicates the unexecuted(cold) part of the function.
This change also extends the current `findDisjointRanges` method which now can support adding zero-value range.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D109713
For large app, dumping disasm of the whole program can be slow and result in gianant output. Adding a switch to dump specific symbols only.
Reviewed By: wlei
Differential Revision: https://reviews.llvm.org/D110079
This change aims at supporting LBR only sample perf script which is used for regular(Non-CS) profile generation. A LBR perf script includes a batch of LBR sample which starts with a frame pointer and a group of 32 LBR entries is followed. The FROM/TO LBR pair and the range between two consecutive entries (the former entry's TO and the latter entry's FROM) will be used to infer function profile info.
An example of LBR perf script(created by `perf script -F ip,brstack -i perf.data`)
```
40062f 0x40062f/0x4005b0/P/-/-/9 0x400645/0x4005ff/P/-/-/1 0x400637/0x400645/P/-/-/1 ...
4005d7 0x4005d7/0x4005e5/P/-/-/8 0x40062f/0x4005b0/P/-/-/6 0x400645/0x4005ff/P/-/-/1 ...
...
```
For implementation:
- Extended a new child class `LBRPerfReader` for the sample parsing, reused all the functionalities in `extractLBRStack` except for an extension to parsing leading instruction pointer.
- `HybridSample` is reused(just leave the call stack empty) and the parsed samples is still aggregated in `AggregatedSamples`. After that, range samples, branch sample, address samples are computed and recorded.
- Reused `ContextSampleCounterMap` to store the raw profile, since it's no need to aggregation by context, here it just registered one sample counter with a fake context key.
- Unified to use `show-raw-profile` instead of `show-unwinder-output` to dump the intermediate raw profile, see the comments of the format of the raw profile. For CS profile, it remains to output the unwinder output.
Profile generation part will come soon.
Differential Revision: https://reviews.llvm.org/D108153
Currently context strings contain a lot of duplicated function names and that significantly increase the profile size. This change split the context into a series of {name, offset, discriminator} tuples so function names used in the context can be replaced by the index into the name table and that significantly reduce the size consumed by context.
A follow-up improvement made in the compiler and profiling tools is to avoid reconstructing full context strings which is time- and memory- consuming. Instead a context vector of `StringRef` is adopted to represent the full context in all scenarios. As a result, the previous prevalent profile map which was implemented as a `StringRef` is now engineered as an unordered map keyed by `SampleContext`. `SampleContext` is reshaped to using an `ArrayRef` to represent a full context for CS profile. For non-CS profile, it falls back to use `StringRef` to represent a contextless function name. Both the `ArrayRef` and `StringRef` objects are underpinned by real array and string objects that are stored in producer buffers. For compiler, they are maintained by the sample reader. For llvm-profgen, they are maintained in `ProfiledBinary` and `ProfileGenerator`. Full context strings can be generated only in those cases of debugging and printing.
When it comes to profile format, nothing has changed to the text format, though internally CS context is implemented as a vector. Extbinary format is only changed for CS profile, with an additional `SecCSNameTable` section which stores all full contexts logically in the form of `vector<int>`, which each element as an offset points to `SecNameTable`. All occurrences of contexts elsewhere are redirected to using the offset of `SecCSNameTable`.
Testing
This is no-diff change in terms of code quality and profile content (for text profile).
For our internal large service (aka ads), the profile generation is cut to half, with a 20x smaller string-based extbinary format generated.
The compile time of ads is dropped by 25%.
Differential Revision: https://reviews.llvm.org/D107299
This is a follow up diff for BinarySizeContextTracker to track zero size for fully optimized inlinee. When an inlinee is fully optimized away, we won't be able to get its size through symbolizing instructions, hence we will treat the corresponding context size as unknown. However by traversing the inlined probe forest, we know what're original inlinees regardless of optimization. If a context show up in inlined probes, but not during symbolization, we know that it's fully optimized away hence its size is zero instead of unknown. It should provide more accurate size cost estimation for pre-inliner to make better inline decisions in llvm-profgen.
Differential Revision: https://reviews.llvm.org/D108350
This change enables llvm-profgen to use accurate context-sensitive post-optimization function byte size as a cost proxy to drive global preinline decisions.
To do this, BinarySizeContextTracker is introduced to track function byte size under different inline context during disassembling. In preinliner, we can not query context byte size under switch `context-cost-for-preinliner`. The tracker uses a reverse trie to keep size of functions under different context (callee as parent, caller as child), and it can give best/longest possible matching context size for given input context.
The new size cost is off by default. There're a few TODOs that needs to addressed: 1) avoid dangling string from `Offset2LocStackMap`, which will be addressed in split context work; 2) using inlinee's entry probe to make sure we have correct zero size for inlinee that's completely optimized away after inlining. Some tuning is also needed.
Differential Revision: https://reviews.llvm.org/D108180
Currently we use a centralized string map(StringMap<FunctionSamples> ProfileMap) to store the profile while populating the sample, which might cause the memory usage bottleneck. I saw in an extreme case, there are thousands of samples whose context stack depth is >= 100. The memory consumption can be greater than 100GB.
As here the context is used for inlining, we can assume we won't have so many of inlinees keeping inlined at the same root function, so this change tried to cap the context stack and merge the samples for peak memory reduction and this is done after recursion compression.
The default value is -1 meaning no depth limit, in the future we can tune to a smaller one.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D107800
Migrate pseudo probe decoding logic in llvm-profgen to MC, so other LLVM-base program could reuse existing codes. Redesign object layout of encoded and decoded pseudo probes.
Reviewed By: hoy
Differential Revision: https://reviews.llvm.org/D106861
The linker or post-link optimizer can create an ELF image with multiple executable segments each of which will be loaded separately at run time. This breaks the assumption of llvm-profgen that currently only supports one base load address. What it ends up with is that the subsequent mmap events will be treated as an overwrite of the first mmap event which will in turn screw up address mapping. While it is non-trivial to support multiple separate load addresses and given that on x64 those segments will always be loaded at consecutive addresses (though via separate mmap
sys calls), I'm adding an error checking logic to bail out if that's violated and keep using a single load address which is the address of the first executable segment.
Also changing the disassembly output from printing section offset to printing the virtual address instead, which matches the behavior of objdump.
Differential Revision: https://reviews.llvm.org/D103178
Add a parameter of IsFSDiscriminator to function
getBaseDiscriminatorFromDiscriminator().
This function currently checks the internal flag of
--enable-fs-discriminator. This is not good because we might
change the default value of the internal flag.
Note that we have a default parameter. This is just
because create_afdo_tool has a call-site to it.
I will remove the default parameter in a later patch.
Differential Revision: https://reviews.llvm.org/D104584
This makes it possible for targets to define their own MCObjectFileInfo.
This MCObjectFileInfo is then used to determine things like section alignment.
This is a follow up to D101462 and prepares for the RISCV backend defining the
text section alignment depending on the enabled extensions.
Reviewed By: MaskRay
Differential Revision: https://reviews.llvm.org/D101921
This untangles the MCContext and the MCObjectFileInfo. There is a circular
dependency between MCContext and MCObjectFileInfo. Currently this dependency
also exists during construction: You can't contruct a MOFI without a MCContext
without constructing the MCContext with a dummy version of that MOFI first.
This removes this dependency during construction. In a perfect world,
MCObjectFileInfo wouldn't depend on MCContext at all, but only be stored in the
MCContext, like other MC information. This is future work.
This also shifts/adds more information to the MCContext making it more
available to the different targets. Namely:
- TargetTriple
- ObjectFileType
- SubtargetInfo
Reviewed By: MaskRay
Differential Revision: https://reviews.llvm.org/D101462
This changes adds attribute field for metadata of context profile. Currently we have an inline attribute that indicates whether the leaf frame corresponding to a context profile was inlined in previous build.
This will be used to help estimating inlining and be taken into account when trimming context. Changes for that in llvm-profgen will follow. It will also help tuning.
Differential Revision: https://reviews.llvm.org/D98823
Previously we didn't support to keep the unique linkage name(-funique-internal-linkage-name) in llvm-profgen. As discussed in https://reviews.llvm.org/D96932, we choose to do canonicalization for it.
Now since "selected" is set as the default parameter of getCanonicalFnName in `D96932`, we don't need to add any attribute here for the previous usage and only fix the missing usage in the pseudo probe decoding.
Differential Revision: https://reviews.llvm.org/D98226
Previously we errored out when disassembling illegal instructions and there would be no profile generated. In fact illegal instructions are not uncommon and we'd better skip them and print "unknown" instead of erroring out. This matches the behavior of llvm-objdump (see disassembleObject in llvm-objdump.cpp).
Reviewed By: wlei, wenlei
Differential Revision: https://reviews.llvm.org/D97776
It appears some instructions doesn't have the debug location info and the symbolizer will return an empty call stack for them which will cause some crash later in profile unwinding. Actually we do not record the sample info for them, so this change just filter out those instruction.
As those instruction would appears at the begin and end of the instruction list, without them we need to add the boundary check for IP `advance` and `backward`.
Also for pseudo probe based profile, we actually don't need the symbolized location info, so here just change to use an empty stack for it. This could save half of the binary loading time.
Differential Revision: https://reviews.llvm.org/D96434
This include some changes related with PerfReader's the input check and command line change:
1) It appears there might be thousands of leading MMAP-Event line in the perfscript for large workload. For this case, the 4k threshold is not eligible to determine it's a hybrid sample. This change renovated the `isHybridPerfScript` by going through the script without threshold limitation checking whether there is a non-empty call stack immediately followed by a LBR sample. It will stop once it find a valid one.
2) Added several input validations for the command line switches in PerfReader.
3) Changed the command line `show-disassembly` to `show-disassembly-only`, it will print to stdout and exit early which leave an empty output profile.
Reviewed By: hoy, wenlei
Differential Revision: https://reviews.llvm.org/D96387
To align with https://reviews.llvm.org/D95547, we need to add brackets for context id before initializing the `SampleContext`.
Also added test cases for extended binary format from llvm-profgen side.
Differential Revision: https://reviews.llvm.org/D95929
For CS profile generation, the process of call stack unwinding is time-consuming since for each LBR entry we need linear time to generate the context( hash, compression, string concatenation). This change speeds up this by grouping all the call frame within one LBR sample into a trie and aggregating the result(sample counter) on it, deferring the context compression and string generation to the end of unwinding.
Specifically, it uses `StackLeaf` as the top frame on the stack and manipulates(pop or push a trie node) it dynamically during virtual unwinding so that the raw sample can just be recoded on the leaf node, the path(root to leaf) will represent its calling context. In the end, it traverses the trie and generates the context on the fly.
Results:
Our internal branch shows about 5X speed-up on some large workloads in SPEC06 benchmark.
Differential Revision: https://reviews.llvm.org/D94110
Fangrui Song