LLVM-PROFDATA(1)
Manual page: LLVM-PROFDATA(1) from the LLVM manual set. Bestie, you are in the right place. π
β¨ NAME β¨
llvm-profdataβ Profile data tool. That's the whole name, no cap. π
β¨ SYNOPSIS β¨
llvm-profdata command [args...]
Like, you call llvm-profdata, then a command, then whatever args that command needs. Simple.
β¨ DESCRIPTION β¨
The tool llvm-profdata is a small utility for working with profile data files. Tiny but mighty. π§
β¨ COMMANDS β¨
There are three commands on the menu, bestie:
mergeshowoverlap
β¨ MERGE β¨
SYNOPSIS
llvm-profdata merge [options] [filename...]
DESCRIPTION
llvm-profdata merge takes several profile data files generated by PGO instrumentation and merges them together into a single indexed profile data file. It's giving "bring all your faves into one group chat." π
By default profile data is merged without modification. This means that the relative importance of each input file is proportional to the number of samples or counts it contains. In general, the input from a longer training run will be interpreted as relatively more important than a shorter run. Depending on the nature of the training runs it may be useful to adjust the weight given to each input file by using the -weighted-input option.
Profiles passed in via -weighted-input, -input-files, or via positional arguments are processed once for each time they are seen. Periodt.
OPTIONS
-helpβ Print a summary of command line options.-output=output,-o=outputβ Specify the output file name. Output cannot be-as the resulting indexed profile data can't be written to standard output.-weighted-input=weight,filenameβ Specify an input file name along with a weight. The profile counts of the suppliedfilenamewill be scaled (multiplied) by the suppliedweight, whereweightis a decimal integer>= 1. Input files specified without using this option are assigned a default weight of1. Examples are shown below.-input-files=path,-f=pathβ Specify a file which contains a list of files to merge. The entries in this file are newline-separated. Lines starting with'#'are skipped. Entries may be of the form<filename>or<weight>,<filename>.-remapping-file=path,-r=pathβ Specify a file which contains a remapping from symbol names in the input profile to the symbol names that should be used in the output profile. The file should consist of lines of the form<input-symbol> <output-symbol>. Blank lines and lines starting with#are skipped.
The llvm-cxxmap tool can be used to generate the symbol remapping file.
-instr(default) β Specify that the input profile is an instrumentation-based profile.-sampleβ Specify that the input profile is a sample-based profile.
The format of the generated file can be generated in one of three ways:
-binary(default) β Emit the profile using a binary encoding. For instrumentation-based profile the output format is the indexed binary format.-extbinaryβ Emit the profile using an extensible binary encoding. This option can only be used with sample-based profile. The extensible binary encoding can be more compact with compression enabled and can be loaded faster than the default binary encoding.-textβ Emit the profile in text mode. This option can also be used with both sample-based and instrumentation-based profile. When this option is used the profile will be dumped in the text format that is parsable by the profile reader.-gccβ Emit the profile using GCC's gcov format (Not yet supported).
-sparse[=true|false]β Do not emit function records with 0 execution count. Can only be used in conjunction with-instr. Defaults tofalse, since it can inhibit compiler optimization during PGO.-num-threads=N,-j=Nβ UseNthreads to perform profile merging. WhenN=0,llvm-profdataauto-detects an appropriate number of threads to use. This is the default.-failure-mode=[any|all]β Set the failure mode. There are two options:'any'causes the merge command to fail if any profiles are invalid, and'all'causes the merge command to fail only if all profiles are invalid. If'all'is set, information from any invalid profiles is excluded from the final merged product. The default failure mode is'any'.-prof-sym-list=pathβ Specify a file which contains a list of symbols to generate profile symbol list in the profile. This option can only be used with sample-based profile in extbinary format. The entries in this file are newline-separated.-compress-all-sections=[true|false]β Compress all sections when writing the profile. This option can only be used with sample-based profile in extbinary format.-use-md5=[true|false]β Use MD5 to represent string in name table when writing the profile. This option can only be used with sample-based profile in extbinary format.-gen-partial-profile=[true|false]β Mark the profile to be a partial profile which only provides partial profile coverage for the optimized target. This option can only be used with sample-based profile in extbinary format.-supplement-instr-with-sample=path_to_sample_profileβ Supplement an instrumentation profile with sample profile. The sample profile is the input of the flag. Output will be in instrumentation format (only works with-instr).-zero-counter-threshold=threshold_float_numberβ For the function which is cold in instr profile but hot in sample profile, if the ratio of the number of zero counters divided by the total number of counters is above the threshold, the profile of the function will be regarded as being harmful for performance and will be dropped.-instr-prof-cold-threshold=threshold_int_numberβ User specified cold threshold for instr profile which will override the cold threshold got from profile summary.-suppl-min-size-threshold=threshold_int_numberβ If the size of a function is smaller than the threshold, assume it can be inlined by PGO early inliner and it will not be adjusted based on sample profile.
EXAMPLES
Basic Usage
Merge three profiles:
llvm-profdata merge foo.profdata bar.profdata baz.profdata -output merged.profdata
Weighted Input
The input file foo.profdata is especially important, multiply its counts by 10:
llvm-profdata merge -weighted-input=10,foo.profdata bar.profdata baz.profdata -output merged.profdata
Exactly equivalent to the previous invocation (explicit form; useful for programmatic invocation):
llvm-profdata merge -weighted-input=10,foo.profdata -weighted-input=1,bar.profdata -weighted-input=1,baz.profdata -output merged.profdata
β¨ SHOW β¨
SYNOPSIS
llvm-profdata show [options] [filename]
DESCRIPTION
llvm-profdata show takes a profile data file and displays the information about the profile counters for this file and for any of the specified function(s). It's like a vibe check for your counters. π₯
If filename is omitted or is -, then llvm-profdata show reads its input from standard input.
OPTIONS
-all-functionsβ Print details for every function.-countsβ Print the counter values for the displayed functions.-function=stringβ Print details for a function if the function's name contains the given string.-helpβ Print a summary of command line options.-output=output,-o=outputβ Specify the output file name. Ifoutputis-or it isn't specified, then the output is sent to standard output.-instr(default) β Specify that the input profile is an instrumentation-based profile.-textβ Instruct the profile dumper to show profile counts in the text format of the instrumentation-based profile data representation. By default, the profile information is dumped in a more human readable form (also in text) with annotations.-topn=nβ Instruct the profile dumper to show the topnfunctions with the hottest basic blocks in the summary section. By default, the topn functions are not dumped.-sampleβ Specify that the input profile is a sample-based profile.-memop-sizesβ Show the profiled sizes of the memory intrinsic calls for shown functions.-value-cutoff=nβ Show only those functions whose max count values are greater or equal ton. By default, the value-cutoff is set to0.-list-below-cutoffβ Only output names of functions whose max count value are below the cutoff value.-showcsβ Only show context sensitive profile counts. The default is to filter all context sensitive profile counts.-show-prof-sym-list=[true|false]β Show profile symbol list if it exists in the profile. This option is only meaningful for sample-based profile in extbinary format.-show-sec-info-only=[true|false]β Show basic information about each section in the profile. This option is only meaningful for sample-based profile in extbinary format.
β¨ OVERLAP β¨
π¦ SYNOPSIS π¦
llvm-profdata overlap [options] [base profile file] [test profile file]
π DESCRIPTION π
okay bestie so llvm-profdata overlap grabs two profile data files and shows you the overlap of counter distribution β both across the whole files and for any specific functions you point at. it's giving "are these two profiles actually the same vibe" energy πΈ
so in this command, overlap is defined like this: say your base profile file has these counts:
{c1_1, c1_2, ..., c1_n, c1_u_1, c2_u_2, ..., c2_u_s}
and your test profile file has these counts:
{c2_1, c2_2, ..., c2_n, c2_v_1, c2_v_2, ..., c2_v_t}
here c{1|2}_i (where i = 1 .. n) are the matched counters, and c1_u_i (where i = 1 .. s) and c2_v_i (where i = 1 .. v) are the unmatched counters β aka counters that only exist in the base profile file and the test profile file respectively. periodt. β¨
now let:
sum_1 = c1_1 + c1_2 + ... + c1_n + c1_u_1 + c2_u_2 + ... + c2_u_s
sum_2 = c2_1 + c2_2 + ... + c2_n + c2_v_1 + c2_v_2 + ... + c2_v_t
and then:
overlap = min(c1_1/sum_1, c2_1/sum_2) + min(c1_2/sum_1, c2_2/sum_2) + ... + min(c1_n/sum_1, c2_n/sum_2)
The result overlap distribution is a percentage number, ranging from 0.0% to 100.0% β where 0.0% means there is no overlap and 100.0% means a perfect overlap. literally the glow-up scale π
Here's an example: if the base profile file has counts of {400, 600}, and the test profile file has matched counts of {60000, 40000}, the overlap is 80%. ate that up fr fr π₯
π OPTIONS π
-function=stringβ Print details for a function if the function's name contains the given string. π«Ά-helpβ Print a summary of command line options. (our fave, no notes)-o=outputor-o outputβ Specify the output file name. Ifoutputis-or it isn't specified, then the output is sent to standard output. π-value-cutoff=nβ Show only those functions whose max count values are greater or equal ton. By default, thevalue-cutoffis set to max ofunsigned long long. (yes, the ceiling of ceilings π)-csβ Only show overlap for the context sensitive profile counts. The default is to show non-context sensitive profile counts. π
π EXIT STATUS π
llvm-profdata returns 1 if the command is omitted or is invalid, if it cannot read input files, or if there is a mismatch between their data.
so like, 1 is the "something is not slaying" number. if you see it, check your inputs bestie π₯²
π AUTHOR π
Maintained by the LLVM Team (https://llvm.org/).
π COPYRIGHT π
2003-2024, LLVM Project
and that's a wrap on the LLVM-PROFDATA(1) era π this was section 12, dated 2024-07-18, and you made it all the way to the end β main character behaviour, no cap πβ¨
π¦ where this page comes from
- fedora 43: llvm12 12.0.1-12.fc41 Β· NCSA
- fedora 43: llvm12 12.0.1-12.fc41 Β· NCSA
- fedora 44: llvm12 12.0.1-12.fc41 Β· NCSA
- fedora 44: llvm12 12.0.1-12.fc41 Β· NCSA
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash on : a language model's rewrite of the original, under its terms