The Clang Compiler is an open-source compiler for the C family of programming languages, aiming to be the best in class implementation of these languages. Clang builds on the LLVM optimizer and code generator, allowing it to provide high-quality optimization and code generation support for many targets. For more general information, please see the Clang Web Site or the LLVM Web Site.
This document describes important notes about using Clang as a compiler for an end-user, documenting the supported features, command line options, etc. If you are interested in using Clang to build a tool that processes code, please see âClangâ CFE Internals Manual. If you are interested in the Clang Static Analyzer, please see its web page.
Clang is one component in a complete toolchain for C family languages. A separate document describes the other pieces necessary to assemble a complete toolchain.
Clang is designed to support the C family of programming languages, which includes C, Objective-C, C++, and Objective-C++ as well as many dialects of those. For language-specific information, please see the corresponding language specific section:
C Language: K&R C, ANSI C89, ISO C90, ISO C94 (C89+AMD1), ISO C99 (+TC1, TC2, TC3).
Objective-C Language: ObjC 1, ObjC 2, ObjC 2.1, plus variants depending on base language.
OpenCL Kernel Language: OpenCL C 1.0, 1.1, 1.2, 2.0, 3.0, and C++ for OpenCL 1.0 and 2021.
In addition to these base languages and their dialects, Clang supports a broad variety of language extensions, which are documented in the corresponding language section. These extensions are provided to be compatible with the GCC, Microsoft, and other popular compilers as well as to improve functionality through Clang-specific features. The Clang driver and language features are intentionally designed to be as compatible with the GNU GCC compiler as reasonably possible, easing migration from GCC to Clang. In most cases, code âjust worksâ. Clang also provides an alternative driver, clang-cl, that is designed to be compatible with the Visual C++ compiler, cl.exe.
In addition to language specific features, Clang has a variety of features that depend on what CPU architecture or operating system is being compiled for. Please see the Target-Specific Features and Limitations section for more details.
The rest of the introduction introduces some basic compiler terminology that is used throughout this manual and contains a basic introduction to using Clang as a command line compiler.
Terminology¶Front end, parser, backend, preprocessor, undefined behavior, diagnostic, optimizer
Basic Usage¶Intro to how to use a C compiler for newbies.
compile + link compile then link debug info enabling optimizations picking a language to use, defaults to C17 by default. Autosenses based on extension. using a makefile
Command Line Options¶This section is generally an index into other sections. It does not go into depth on the ones that are covered by other sections. However, the first part introduces the language selection and other high level options like -c
, -g
, etc.
Turn warnings into errors.
-Werror=foo
Turn warning âfooâ into an error.
Turn warning âfooâ into a warning even if -Werror
is specified.
Enable warning âfooâ. See the diagnostics reference for a complete list of the warning flags that can be specified in this way.
Disable warning âfooâ.
Disable all diagnostics.
Warn on language extensions.
Error on language extensions.
Enable warnings from system headers.
Stop emitting diagnostics after 123 errors have been produced. The default is 20, and the error limit can be disabled with -ferror-limit=0.
Only emit up to 123 template instantiation notes within the template instantiation backtrace for a single warning or error. The default is 10, and the limit can be disabled with -ftemplate-backtrace-limit=0.
Clang aims to produce beautiful diagnostics by default, particularly for new users that first come to Clang. However, different people have different preferences, and sometimes Clang is driven not by a human, but by a program that wants consistent and easily parsable output. For these cases, Clang provides a wide range of options to control the exact output format of the diagnostics that it generates.
Print column number in diagnostic.
This option, which defaults to on, controls whether or not Clang prints the column number of a diagnostic. For example, when this is enabled, Clang will print something like:
test.c:28:8: warning: extra tokens at end of #endif directive [-Wextra-tokens] #endif bad ^ //
When this is disabled, Clang will print âtest.c:28: warningâ¦â with no column number.
The printed column numbers count bytes from the beginning of the line; take care if your source contains multibyte characters.
Print source file/line/column information in diagnostic.
This option, which defaults to on, controls whether or not Clang prints the filename, line number and column number of a diagnostic. For example, when this is enabled, Clang will print something like:
test.c:28:8: warning: extra tokens at end of #endif directive [-Wextra-tokens] #endif bad ^ //
When this is disabled, Clang will not print the âtest.c:28:8: â part.
Print source line and ranges from source code in diagnostic. This option, which defaults to on, controls whether or not Clang prints the source line, source ranges, and caret when emitting a diagnostic. For example, when this is enabled, Clang will print something like:
test.c:28:8: warning: extra tokens at end of #endif directive [-Wextra-tokens] #endif bad ^ //
This option, which defaults to on when a color-capable terminal is detected, controls whether or not Clang prints diagnostics in color.
When this option is enabled, Clang will use colors to highlight specific parts of the diagnostic, e.g.,
test.c:28:8: warning: extra tokens at end of #endif directive [-Wextra-tokens] #endif bad ^ //
When this is disabled, Clang will just print:
test.c:2:8: warning: extra tokens at end of #endif directive [-Wextra-tokens] #endif bad ^ //
Controls whether ANSI escape codes are used instead of the Windows Console API to output colored diagnostics. This option is only used on Windows and defaults to off.
Changes diagnostic output format to better match IDEs and command line tools.
This option controls the output format of the filename, line number, and column printed in diagnostic messages. The options, and their affect on formatting a simple conversion diagnostic, follow:
t.c:3:11: warning: conversion specifies type 'char *' but the argument has type 'int'
t.c(3,11) : warning: conversion specifies type 'char *' but the argument has type 'int'
t.c +3:11: warning: conversion specifies type 'char *' but the argument has type 'int'
Enable [-Woption]
information in diagnostic line.
This option, which defaults to on, controls whether or not Clang prints the associated warning group option name when outputting a warning diagnostic. For example, in this output:
test.c:28:8: warning: extra tokens at end of #endif directive [-Wextra-tokens] #endif bad ^ //
Passing -fno-diagnostics-show-option will prevent Clang from printing the [-Wextra-tokens] information in the diagnostic. This information tells you the flag needed to enable or disable the diagnostic, either from the command line or through #pragma GCC diagnostic.
Enable printing category information in diagnostic line.
This option, which defaults to ânoneâ, controls whether or not Clang prints the category associated with a diagnostic when emitting it. Each diagnostic may or many not have an associated category, if it has one, it is listed in the diagnostic categorization field of the diagnostic line (in the []âs).
For example, a format string warning will produce these three renditions based on the setting of this option:
t.c:3:11: warning: conversion specifies type 'char *' but the argument has type 'int' [-Wformat] t.c:3:11: warning: conversion specifies type 'char *' but the argument has type 'int' [-Wformat,1] t.c:3:11: warning: conversion specifies type 'char *' but the argument has type 'int' [-Wformat,Format String]
This category can be used by clients that want to group diagnostics by category, so it should be a high level category. We want dozens of these, not hundreds or thousands of them.
Enable optimization remarks during compilation and write them to a separate file.
This option, which defaults to off, controls whether Clang writes optimization reports to a separate file. By recording diagnostics in a file, users can parse or sort the remarks in a convenient way.
By default, the serialization format is YAML.
The supported serialization formats are:
-fsave-optimization-record=yaml
: A structured YAML format.
-fsave-optimization-record=bitstream
: A binary format based on LLVM Bitstream.
The output file is controlled by -foptimization-record-file.
In the absence of an explicit output file, the file is chosen using the following scheme:
<base>.opt.<format>
where <base>
is based on the output file of the compilation (whether itâs explicitly specified through -o or not) when used with -c or -S. For example:
clang -fsave-optimization-record -c in.c -o out.o
will generate out.opt.yaml
clang -fsave-optimization-record -c in.c `` will generate ``in.opt.yaml
When targeting (Thin)LTO, the base is derived from the output filename, and the extension is not dropped.
When targeting ThinLTO, the following scheme is used:
<base>.opt.<format>.thin.<num>.<format>
Darwin-only: when used for generating a linked binary from a source file (through an intermediate object file), the driver will invoke cc1 to generate a temporary object file. The temporary remark file will be emitted next to the object file, which will then be picked up by dsymutil and emitted in the .dSYM bundle. This is available for all formats except YAML.
For example:
clang -fsave-optimization-record=bitstream in.c -o out
will generate
/var/folders/43/9y164hh52tv_2nrdxrj31nyw0000gn/T/a-9be59b.o
/var/folders/43/9y164hh52tv_2nrdxrj31nyw0000gn/T/a-9be59b.opt.bitstream
out
out.dSYM/Contents/Resources/Remarks/out
Darwin-only: compiling for multiple architectures will use the following scheme:
<base>-<arch>.opt.<format>
Note that this is incompatible with passing the -foptimization-record-file option.
Control the file to which optimization reports are written. This implies -fsave-optimization-record.
On Darwin platforms, this is incompatible with passing multiple
-arch <arch>
options.
Only include passes which match a specified regular expression.
When optimization reports are being output (see -fsave-optimization-record), this option controls the passes that will be included in the final report.
If this option is not used, all the passes are included in the optimization record.
Enable profile hotness information in diagnostic line.
This option controls whether Clang prints the profile hotness associated with diagnostics in the presence of profile-guided optimization information. This is currently supported with optimization remarks (see Options to Emit Optimization Reports). The hotness information allows users to focus on the hot optimization remarks that are likely to be more relevant for run-time performance.
For example, in this output, the block containing the callsite of foo was executed 3000 times according to the profile data:
s.c:7:10: remark: foo inlined into bar (hotness: 3000) [-Rpass-analysis=inline] sum += foo(x, x - 2); ^
This option is implied when -fsave-optimization-record is used. Otherwise, it defaults to off.
Prevent optimization remarks from being output if they do not have at least this hotness value.
This option, which defaults to zero, controls the minimum hotness an optimization remark would need in order to be output by Clang. This is currently supported with optimization remarks (see Options to Emit Optimization Reports) when profile hotness information in diagnostics is enabled (see -fdiagnostics-show-hotness).
Enable âFixItâ information in the diagnostics output.
This option, which defaults to on, controls whether or not Clang prints the information on how to fix a specific diagnostic underneath it when it knows. For example, in this output:
test.c:28:8: warning: extra tokens at end of #endif directive [-Wextra-tokens] #endif bad ^ //
Passing -fno-diagnostics-fixit-info will prevent Clang from printing the â//â line at the end of the message. This information is useful for users who may not understand what is wrong, but can be confusing for machine parsing.
Print machine parsable information about source ranges. This option makes Clang print information about source ranges in a machine parsable format after the file/line/column number information. The information is a simple sequence of brace enclosed ranges, where each range lists the start and end line/column locations. For example, in this output:
exprs.c:47:15:{47:8-47:14}{47:17-47:24}: error: invalid operands to binary expression ('int *' and '_Complex float') P = (P-42) + Gamma*4; ~~~~~~ ^ ~~~~~~~
The {}âs are generated by -fdiagnostics-print-source-range-info.
The printed column numbers count bytes from the beginning of the line; take care if your source contains multibyte characters.
Print Fix-Its in a machine parseable form.
This option makes Clang print available Fix-Its in a machine parseable format at the end of diagnostics. The following example illustrates the format:
fix-it:"t.cpp":{7:25-7:29}:"Gamma"
The range printed is a half-open range, so in this example the characters at column 25 up to but not including column 29 on line 7 in t.cpp should be replaced with the string âGammaâ. Either the range or the replacement string may be empty (representing strict insertions and strict erasures, respectively). Both the file name and the insertion string escape backslash (as â\\â), tabs (as â\tâ), newlines (as â\nâ), double quotes(as â\ââ) and non-printable characters (as octal â\xxxâ).
The printed column numbers count bytes from the beginning of the line; take care if your source contains multibyte characters.
Turns off elision in template type printing.
The default for template type printing is to elide as many template arguments as possible, removing those which are the same in both template types, leaving only the differences. Adding this flag will print all the template arguments. If supported by the terminal, highlighting will still appear on differing arguments.
Default:
t.cc:4:5: note: candidate function not viable: no known conversion from 'vector<map<[...], map<float, [...]>>>' to 'vector<map<[...], map<double, [...]>>>' for 1st argument;
-fno-elide-type:
t.cc:4:5: note: candidate function not viable: no known conversion from 'vector<map<int, map<float, int>>>' to 'vector<map<int, map<double, int>>>' for 1st argument;
Template type diffing prints a text tree.
For diffing large templated types, this option will cause Clang to display the templates as an indented text tree, one argument per line, with differences marked inline. This is compatible with -fno-elide-type.
Default:
t.cc:4:5: note: candidate function not viable: no known conversion from 'vector<map<[...], map<float, [...]>>>' to 'vector<map<[...], map<double, [...]>>>' for 1st argument;
With -fdiagnostics-show-template-tree
:
t.cc:4:5: note: candidate function not viable: no known conversion for 1st argument; vector< map< [...], map< [float != double], [...]>>>
TODO: Generate this from tblgen. Define one anchor per warning group.
Warn about excess tokens at the end of a preprocessor directive.
This option, which defaults to on, enables warnings about extra tokens at the end of preprocessor directives. For example:
test.c:28:8: warning: extra tokens at end of #endif directive [-Wextra-tokens] #endif bad ^
These extra tokens are not strictly conforming, and are usually best handled by commenting them out.
Warn about unqualified uses of a member template whose name resolves to another template at the location of the use.
This option, which defaults to on, enables a warning in the following code:
template<typename T> struct set{}; template<typename T> struct trait { typedef const T& type; }; struct Value { template<typename T> void set(typename trait<T>::type value) {} }; void foo() { Value v; v.set<double>(3.2); }
C++ [basic.lookup.classref] requires this to be an error, but, because itâs hard to work around, Clang downgrades it to a warning as an extension.
Warn about an unusable copy constructor when binding a reference to a temporary.
This option enables warnings about binding a reference to a temporary when the temporary doesnât have a usable copy constructor. For example:
struct NonCopyable { NonCopyable(); private: NonCopyable(const NonCopyable&); }; void foo(const NonCopyable&); void bar() { foo(NonCopyable()); // Disallowed in C++98; allowed in C++11. }
struct NonCopyable2 { NonCopyable2(); NonCopyable2(NonCopyable2&); }; void foo(const NonCopyable2&); void bar() { foo(NonCopyable2()); // Disallowed in C++98; allowed in C++11. }
Note that if NonCopyable2::NonCopyable2()
has a default argument whose instantiation produces a compile error, that error will still be a hard error in C++98 mode even if this warning is turned off.
As unbelievable as it may sound, Clang does crash from time to time. Generally, this only occurs to those living on the bleeding edge. Clang goes to great lengths to assist you in filing a bug report. Specifically, Clang generates preprocessed source file(s) and associated run script(s) upon a crash. These files should be attached to a bug report to ease reproducibility of the failure. Below are the command line options to control the crash diagnostics.
Disable auto-generation of preprocessed source files during a clang crash.
The -fno-crash-diagnostics flag can be helpful for speeding the process of generating a delta reduced test case.
Specify where to write the crash diagnostics files; defaults to the usual location for temporary files.
Clang is also capable of generating preprocessed source file(s) and associated run script(s) even without a crash. This is specially useful when trying to generate a reproducer for warnings or errors while using modules.
Generates preprocessed source files, a reproducer script and if relevant, a cache containing: built module pcmâs and all headers needed to rebuild the same modules.
Optimization reports trace, at a high-level, all the major decisions done by compiler transformations. For instance, when the inliner decides to inline function foo()
into bar()
, or the loop unroller decides to unroll a loop N times, or the vectorizer decides to vectorize a loop body.
Clang offers a family of flags which the optimizers can use to emit a diagnostic in three cases:
When the pass makes a transformation (-Rpass).
When the pass fails to make a transformation (-Rpass-missed).
When the pass determines whether or not to make a transformation (-Rpass-analysis).
NOTE: Although the discussion below focuses on -Rpass, the exact same options apply to -Rpass-missed and -Rpass-analysis.
Since there are dozens of passes inside the compiler, each of these flags take a regular expression that identifies the name of the pass which should emit the associated diagnostic. For example, to get a report from the inliner, compile the code with:
$ clang -O2 -Rpass=inline code.cc -o code code.cc:4:25: remark: foo inlined into bar [-Rpass=inline] int bar(int j) { return foo(j, j - 2); } ^
Note that remarks from the inliner are identified with [-Rpass=inline]. To request a report from every optimization pass, you should use -Rpass=.* (in fact, you can use any valid POSIX regular expression). However, do not expect a report from every transformation made by the compiler. Optimization remarks do not really make sense outside of the major transformations (e.g., inlining, vectorization, loop optimizations) and not every optimization pass supports this feature.
Note that when using profile-guided optimization information, profile hotness information can be included in the remarks (see -fdiagnostics-show-hotness).
Current limitations¶Optimization remarks that refer to function names will display the mangled name of the function. Since these remarks are emitted by the back end of the compiler, it does not know anything about the input language, nor its mangling rules.
Some source locations are not displayed correctly. The front end has a more detailed source location tracking than the locations included in the debug info (e.g., the front end can locate code inside macro expansions). However, the locations used by -Rpass are translated from debug annotations. That translation can be lossy, which results in some remarks having no location information.
These are options that report execution time and consumed memory of different compilations steps.
This option requests driver to print used memory and execution time of each compilation step. The clang
driver during execution calls different tools, like compiler, assembler, linker etc. With this option the driver reports total execution time, the execution time spent in user mode and peak memory usage of each the called tool. Value of the option specifies where the report is sent to. If it specifies a regular file, the data are saved to this file in CSV format:
$ clang -fproc-stat-report=abc foo.c $ cat abc clang-11,"/tmp/foo-123456.o",92000,84000,87536 ld,"a.out",900,8000,53568
The data on each row represent:
file name of the tool executable,
output file name in quotes,
total execution time in microseconds,
execution time in user mode in microseconds,
peak memory usage in Kb.
It is possible to specify this option without any value. In this case statistics are printed on standard output in human readable format:
$ clang -fproc-stat-report foo.c clang-11: output=/tmp/foo-855a8e.o, total=68.000 ms, user=60.000 ms, mem=86920 Kb ld: output=a.out, total=8.000 ms, user=4.000 ms, mem=52320 Kb
The report file specified in the option is locked for write, so this option can be used to collect statistics in parallel builds. The report file is not cleared, new data is appended to it, thus making posible to accumulate build statistics.
You can also use environment variables to control the process statistics reporting. Setting CC_PRINT_PROC_STAT
to 1
enables the feature, the report goes to stdout in human readable format. Setting CC_PRINT_PROC_STAT_FILE
to a fully qualified file path makes it report process statistics to the given file in the CSV format. Specifying a relative path will likely lead to multiple files with the same name created in different directories, since the path is relative to a changing working directory.
These environment variables are handy when you need to request the statistics report without changing your build scripts or alter the existing set of compiler options. Note that -fproc-stat-report
take precedence over CC_PRINT_PROC_STAT
and CC_PRINT_PROC_STAT_FILE
.
$ export CC_PRINT_PROC_STAT=1 $ export CC_PRINT_PROC_STAT_FILE=~/project-build-proc-stat.csv $ make
Clang options that donât fit neatly into other categories.
This flag controls the value of __GNUC__
and related macros. This flag does not enable or disable any GCC extensions implemented in Clang. Setting the version to zero causes Clang to leave __GNUC__
and other GNU-namespaced macros, such as __GXX_WEAK__
, undefined.
When emitting a dependency file, use formatting conventions appropriate for NMake or Jom. Ignored unless another option causes Clang to emit a dependency file.
When Clang emits a dependency file (e.g., you supplied the -M option) most filenames can be written to the file without any special formatting. Different Make tools will treat different sets of characters as âspecialâ and use different conventions for telling the Make tool that the character is actually part of the filename. Normally Clang uses backslash to âescapeâ a special character, which is the convention used by GNU Make. The -MV option tells Clang to put double-quotes around the entire filename, which is the convention used by NMake and Jom.
Configuration files¶Configuration files group command-line options and allow all of them to be specified just by referencing the configuration file. They may be used, for example, to collect options required to tune compilation for particular target, such as -L, -I, -l, âsysroot, codegen options, etc.
The command line option âconfig can be used to specify configuration file in a Clang invocation. For example:
clang --config /home/user/cfgs/testing.txt clang --config debug.cfg
If the provided argument contains a directory separator, it is considered as a file path, and options are read from that file. Otherwise the argument is treated as a file name and is searched for sequentially in the directories:
user directory,
system directory,
the directory where Clang executable resides.
Both user and system directories for configuration files are specified during clang build using CMake parameters, CLANG_CONFIG_FILE_USER_DIR and CLANG_CONFIG_FILE_SYSTEM_DIR respectively. The first file found is used. It is an error if the required file cannot be found.
Another way to specify a configuration file is to encode it in executable name. For example, if the Clang executable is named armv7l-clang (it may be a symbolic link to clang), then Clang will search for file armv7l.cfg in the directory where Clang resides.
If a driver mode is specified in invocation, Clang tries to find a file specific for the specified mode. For example, if the executable file is named x86_64-clang-cl, Clang first looks for x86_64-cl.cfg and if it is not found, looks for x86_64.cfg.
If the command line contains options that effectively change target architecture (these are -m32, -EL, and some others) and the configuration file starts with an architecture name, Clang tries to load the configuration file for the effective architecture. For example, invocation:
causes Clang search for a file i368.cfg first, and if no such file is found, Clang looks for the file x86_64.cfg.
The configuration file consists of command-line options specified on one or more lines. Lines composed of whitespace characters only are ignored as well as lines in which the first non-blank character is #. Long options may be split between several lines by a trailing backslash. Here is example of a configuration file:
# Several options on line -c --target=x86_64-unknown-linux-gnu # Long option split between lines -I/usr/lib/gcc/x86_64-linux-gnu/5.4.0/../../../../\ include/c++/5.4.0 # other config files may be included @linux.options
Files included by @file directives in configuration files are resolved relative to the including file. For example, if a configuration file ~/.llvm/target.cfg contains the directive @os/linux.opts, the file linux.opts is searched for in the directory ~/.llvm/os.
To generate paths relative to the configuration file, the <CFGDIR> token may be used. This will expand to the absolute path of the directory containing the configuration file.
In cases where a configuration file is deployed alongside SDK contents, the SDK directory can remain fully portable by using <CFGDIR> prefixed paths. In this way, the user may only need to specify a root configuration file with âconfig to establish every aspect of the SDK with the compiler:
--target=foo -isystem <CFGDIR>/include -L <CFGDIR>/lib -T <CFGDIR>/ldscripts/link.ldLanguage and Target-Independent Features¶ Controlling Errors and Warnings¶
Clang provides a number of ways to control which code constructs cause it to emit errors and warning messages, and how they are displayed to the console.
Diagnostic Mappings¶All diagnostics are mapped into one of these 6 classes:
Ignored
Note
Remark
Warning
Error
Fatal
Though not shown by default, diagnostics may each be associated with a high-level category. This category is intended to make it possible to triage builds that produce a large number of errors or warnings in a grouped way.
Categories are not shown by default, but they can be turned on with the -fdiagnostics-show-category option. When set to âname
â, the category is printed textually in the diagnostic output. When it is set to âid
â, a category number is printed. The mapping of category names to category idâs can be obtained by running âclang --print-diagnostic-categories
â.
Clang can also control what diagnostics are enabled through the use of pragmas in the source code. This is useful for turning off specific warnings in a section of source code. Clang supports GCCâs pragma for compatibility with existing source code, as well as several extensions.
The pragma may control any warning that can be used from the command line. Warnings may be set to ignored, warning, error, or fatal. The following example code will tell Clang or GCC to ignore the -Wall warnings:
#pragma GCC diagnostic ignored "-Wall"
In addition to all of the functionality provided by GCCâs pragma, Clang also allows you to push and pop the current warning state. This is particularly useful when writing a header file that will be compiled by other people, because you donât know what warning flags they build with.
In the below example -Wextra-tokens
is ignored for only a single line of code, after which the diagnostics return to whatever state had previously existed.
#if foo #endif foo // warning: extra tokens at end of #endif directive #pragma clang diagnostic push #pragma clang diagnostic ignored "-Wextra-tokens" #if foo #endif foo // no warning #pragma clang diagnostic pop
The push and pop pragmas will save and restore the full diagnostic state of the compiler, regardless of how it was set. That means that it is possible to use push and pop around GCC compatible diagnostics and Clang will push and pop them appropriately, while GCC will ignore the pushes and pops as unknown pragmas. It should be noted that while Clang supports the GCC pragma, Clang and GCC do not support the exact same set of warnings, so even when using GCC compatible #pragmas there is no guarantee that they will have identical behaviour on both compilers.
In addition to controlling warnings and errors generated by the compiler, it is possible to generate custom warning and error messages through the following pragmas:
// The following will produce warning messages #pragma message "some diagnostic message" #pragma GCC warning "TODO: replace deprecated feature" // The following will produce an error message #pragma GCC error "Not supported"
These pragmas operate similarly to the #warning
and #error
preprocessor directives, except that they may also be embedded into preprocessor macros via the C99 _Pragma
operator, for example:
#define STR(X) #X #define DEFER(M,...) M(__VA_ARGS__) #define CUSTOM_ERROR(X) _Pragma(STR(GCC error(X " at line " DEFER(STR,__LINE__)))) CUSTOM_ERROR("Feature not available");Enabling All Diagnostics¶
In addition to the traditional -W
flags, one can enable all diagnostics by passing -Weverything
. This works as expected with -Werror
, and also includes the warnings from -pedantic
. Some diagnostics contradict each other, therefore, users of -Weverything
often disable many diagnostics such as -Wno-c++98-compat and -Wno-c++-compat because they contradict recent C++ standards.
Since -Weverything
enables every diagnostic, we generally donât recommend using it. -Wall -Wextra are a better choice for most projects. Using -Weverything
means that updating your compiler is more difficult because youâre exposed to experimental diagnostics which might be of lower quality than the default ones. If you do use -Weverything
then we advise that you address all new compiler diagnostics as they get added to Clang, either by fixing everything they find or explicitly disabling that diagnostic with its corresponding Wno- option.
Note that when combined with -w
(which disables all warnings), disabling all warnings wins.
Clang provides a number of ways to control floating point behavior, including with command line options and source pragmas. This section describes the various floating point semantic modes and the corresponding options.
Floating Point Semantic Modes¶Mode
Values
ffp-exception-behavior
{ignore, strict, may_trap}
fenv_access
{off, on}
(none)
frounding-math
{dynamic, tonearest, downward, upward, towardzero}
ffp-contract
{on, off, fast, fast-honor-pragmas}
fdenormal-fp-math
{IEEE, PreserveSign, PositiveZero}
fdenormal-fp-math-fp32
{IEEE, PreserveSign, PositiveZero}
fmath-errno
{on, off}
fhonor-nans
{on, off}
fhonor-infinities
{on, off}
fsigned-zeros
{on, off}
freciprocal-math
{on, off}
allow_approximate_fns
{on, off}
fassociative-math
{on, off}
This table describes the option settings that correspond to the three floating point semantic models: precise (the default), strict, and fast.
Floating Point Models¶Mode
Precise
Strict
Fast
except_behavior
ignore
strict
ignore
fenv_access
off
on
off
rounding_mode
tonearest
dynamic
tonearest
contract
on
off
fast
denormal_fp_math
IEEE
IEEE
PreserveSign
denormal_fp32_math
IEEE
IEEE
PreserveSign
support_math_errno
on
on
off
no_honor_nans
off
off
on
no_honor_infinities
off
off
on
no_signed_zeros
off
off
on
allow_reciprocal
off
off
on
allow_approximate_fns
off
off
on
allow_reassociation
off
off
on
Enable fast-math mode. This option lets the compiler make aggressive, potentially-lossy assumptions about floating-point math. These include:
Floating-point math obeys regular algebraic rules for real numbers (e.g.
+
and*
are associative,x/y == x * (1/y)
, and(a + b) * c == a * c + b * c
),Operands to floating-point operations are not equal to
NaN
andInf
, and
+0
and-0
are interchangeable.
-ffast-math
also defines the__FAST_MATH__
preprocessor macro. Some math libraries recognize this macro and change their behavior. With the exception of-ffp-contract=fast
, using any of the options below to disable any of the individual optimizations in-ffast-math
will cause__FAST_MATH__
to no longer be set.
This option implies:
-fno-honor-infinities
-fno-honor-nans
-fno-math-errno
-ffinite-math-only
-fassociative-math
-freciprocal-math
-fno-signed-zeros
-fno-trapping-math
-ffp-contract=fast
Select which denormal numbers the code is permitted to require.
Valid values are:
ieee
- IEEE 754 denormal numbers
preserve-sign
- the sign of a flushed-to-zero number is preserved in the sign of 0
positive-zero
- denormals are flushed to positive zero
Defaults to ieee
.
-f[no-]strict-float-cast-overflow
When a floating-point value is not representable in a destination integer type, the code has undefined behavior according to the language standard. By default, Clang will not guarantee any particular result in that case. With the âno-strictâ option, Clang will saturate towards the smallest and largest representable integer values instead. NaNs will be converted to zero.
-f[no-]math-errno
Require math functions to indicate errors by setting errno. The default varies by ToolChain.
-fno-math-errno
allows optimizations that might cause standard C math functions to not seterrno
. For example, on some systems, the math functionsqrt
is specified as settingerrno
toEDOM
when the input is negative. On these systems, the compiler cannot normally optimize a call tosqrt
to use inline code (e.g. the x86sqrtsd
instruction) without additional checking to ensure thaterrno
is set appropriately.-fno-math-errno
permits these transformations.On some targets, math library functions never set
errno
, and so-fno-math-errno
is the default. This includes most BSD-derived systems, including Darwin.
-f[no-]trapping-math
Control floating point exception behavior.
-fno-trapping-math
allows optimizations that assume that floating point operations cannot generate traps such as divide-by-zero, overflow and underflow.
The option -ftrapping-math
behaves identically to -ffp-exception-behavior=strict
.
The option -fno-trapping-math
behaves identically to -ffp-exception-behavior=ignore
. This is the default.
Specify when the compiler is permitted to form fused floating-point operations, such as fused multiply-add (FMA). Fused operations are permitted to produce more precise results than performing the same operations separately.
The C standard permits intermediate floating-point results within an expression to be computed with more precision than their type would normally allow. This permits operation fusing, and Clang takes advantage of this by default. This behavior can be controlled with the FP_CONTRACT
and clang fp contract
pragmas. Please refer to the pragma documentation for a description of how the pragmas interact with this option.
Valid values are:
fast
(fuse across statements disregarding pragmas, default for CUDA)
on
(fuse in the same statement unless dictated by pragmas, default for languages other than CUDA/HIP)
off
(never fuse)
fast-honor-pragmas
(fuse across statements unless dictated by pragmas, default for HIP)
-f[no-]honor-infinities
If both
-fno-honor-infinities
and-fno-honor-nans
are used, has the same effect as specifying-ffinite-math-only
.
-f[no-]honor-nans
If both
-fno-honor-infinities
and-fno-honor-nans
are used, has the same effect as specifying-ffinite-math-only
.
-f[no-]approx-func
Allow certain math function calls (such as
log
,sqrt
,pow
, etc) to be replaced with an approximately equivalent set of instructions or alternative math function calls. For example, apow(x, 0.25)
may be replaced withsqrt(sqrt(x))
, despite being an inexact result in cases wherex
is-0.0
or-inf
. Defaults to-fno-approx-func
.
-f[no-]signed-zeros
Allow optimizations that ignore the sign of floating point zeros. Defaults to
-fno-signed-zeros
.
-f[no-]associative-math
Allow floating point operations to be reassociated. Defaults to
-fno-associative-math
.
-f[no-]reciprocal-math
Allow division operations to be transformed into multiplication by a reciprocal. This can be significantly faster than an ordinary division but can also have significantly less precision. Defaults to
-fno-reciprocal-math
.
-f[no-]unsafe-math-optimizations
Allow unsafe floating-point optimizations. Also implies:
-fassociative-math
-freciprocal-math
-fno-signed-zeroes
-fno-trapping-math
.Defaults to
-fno-unsafe-math-optimizations
.
-f[no-]finite-math-only
Allow floating-point optimizations that assume arguments and results are not NaNs or +-Inf. This defines the
__FINITE_MATH_ONLY__
preprocessor macro. Also implies:
-fno-honor-infinities
-fno-honor-nans
Defaults to
-fno-finite-math-only
.
-f[no-]rounding-math
Force floating-point operations to honor the dynamically-set rounding mode by default.
The result of a floating-point operation often cannot be exactly represented in the result type and therefore must be rounded. IEEE 754 describes different rounding modes that control how to perform this rounding, not all of which are supported by all implementations. C provides interfaces (fesetround
and fesetenv
) for dynamically controlling the rounding mode, and while it also recommends certain conventions for changing the rounding mode, these conventions are not typically enforced in the ABI. Since the rounding mode changes the numerical result of operations, the compiler must understand something about it in order to optimize floating point operations.
Note that floating-point operations performed as part of constant initialization are formally performed prior to the start of the program and are therefore not subject to the current rounding mode. This includes the initialization of global variables and local static
variables. Floating-point operations in these contexts will be rounded using FE_TONEAREST
.
The option -fno-rounding-math
allows the compiler to assume that the rounding mode is set to FE_TONEAREST
. This is the default.
The option -frounding-math
forces the compiler to honor the dynamically-set rounding mode. This prevents optimizations which might affect results if the rounding mode changes or is different from the default; for example, it prevents floating-point operations from being reordered across most calls and prevents constant-folding when the result is not exactly representable.
Specify floating point behavior. -ffp-model
is an umbrella option that encompasses functionality provided by other, single purpose, floating point options. Valid values are: precise
, strict
, and fast
. Details:
precise
Disables optimizations that are not value-safe on floating-point data, although FP contraction (FMA) is enabled (-ffp-contract=on
). This is the default behavior.
strict
Enables -frounding-math
and -ffp-exception-behavior=strict
, and disables contractions (FMA). All of the -ffast-math
enablements are disabled. Enables STDC FENV_ACCESS
: by default FENV_ACCESS
is disabled. This option setting behaves as though #pragma STDC FENV_ACESS ON
appeared at the top of the source file.
fast
Behaves identically to specifying both -ffast-math
and ffp-contract=fast
Note: If your command line specifies multiple instances of the -ffp-model
option, or if your command line option specifies -ffp-model
and later on the command line selects a floating point option that has the effect of negating part of the ffp-model
that has been selected, then the compiler will issue a diagnostic warning that the override has occurred.
Specify the floating-point exception behavior.
Valid values are: ignore
, maytrap
, and strict
. The default value is ignore
. Details:
ignore
The compiler assumes that the exception status flags will not be read and that floating point exceptions will be masked.
maytrap
The compiler avoids transformations that may raise exceptions that would not have been raised by the original code. Constant folding performed by the compiler is exempt from this option.
strict
The compiler ensures that all transformations strictly preserve the floating point exception semantics of the original code.
This option pertains to floating-point types, complex types with floating-point components, and vectors of these types. Some arithmetic expression transformations that are mathematically correct and permissible according to the C and C++ language standards may be incorrect when dealing with floating-point types, such as reassociation and distribution. Further, the optimizer may ignore parentheses when computing arithmetic expressions in circumstances where the parenthesized and unparenthesized expression express the same mathematical value. For example (a+b)+c is the same mathematical value as a+(b+c), but the optimizer is free to evaluate the additions in any order regardless of the parentheses. When enabled, this option forces the optimizer to honor the order of operations with respect to parentheses in all circumstances.
Note that floating-point contraction (option -ffp-contract=) is disabled when -fprotect-parens is enabled. Also note that in safe floating-point modes, such as -ffp-model=precise or -ffp-model=strict, this option has no effect because the optimizer is prohibited from making unsafe transformations.
In C, the only place floating point operations are guaranteed to be evaluated during translation is in the initializers of variables of static storage duration, which are all notionally initialized before the program begins executing (and thus before a non-default floating point environment can be entered). But C++ has many more contexts where floating point constant evaluation occurs. Specifically: for static/thread-local variables, first try evaluating the initializer in a constant context, including in the constant floating point environment (just like in C), and then, if that fails, fall back to emitting runtime code to perform the initialization (which might in general be in a different floating point environment).
Consider this example when compiled with -frounding-math
constexpr float func_01(float x, float y) { return x + y; } float V1 = func_01(1.0F, 0x0.000001p0F);
The C++ rule is that initializers for static storage duration variables are first evaluated during translation (therefore, in the default rounding mode), and only evaluated at runtime (and therefore in the runtime rounding mode) if the compile-time evaluation fails. This is in line with the C rules; C11 F.8.5 says: All computation for automatic initialization is done (as if) at execution time; thus, it is affected by any operative modes and raises floating-point exceptions as required by IEC 60559 (provided the state for the FENV_ACCESS pragma is ââonââ). All computation for initialization of objects that have static or thread storage duration is done (as if) at translation time. C++ generalizes this by adding another phase of initialization (at runtime) if the translation-time initialization fails, but the translation-time evaluation of the initializer of succeeds, it will be treated as a constant initializer.
Controlling Code Generation¶Clang provides a number of ways to control code generation. The options are listed below.
Turn on runtime checks for various forms of undefined or suspicious behavior.
This option controls whether Clang adds runtime checks for various forms of undefined or suspicious behavior, and is disabled by default. If a check fails, a diagnostic message is produced at runtime explaining the problem. The main checks are:
-fsanitize=address
: AddressSanitizer, a memory error detector.
-fsanitize=thread
: ThreadSanitizer, a data race detector.
-fsanitize=memory
: MemorySanitizer, a detector of uninitialized reads. Requires instrumentation of all program code.
-fsanitize=undefined
: UndefinedBehaviorSanitizer, a fast and compatible undefined behavior checker.
-fsanitize=dataflow
: DataFlowSanitizer, a general data flow analysis.
-fsanitize=cfi
: control flow integrity checks. Requires -flto
.
-fsanitize=safe-stack
: safe stack protection against stack-based memory corruption errors.
There are more fine-grained checks available: see the list of specific kinds of undefined behavior that can be detected and the list of control flow integrity schemes.
The -fsanitize=
argument must also be provided when linking, in order to link to the appropriate runtime library.
It is not possible to combine more than one of the -fsanitize=address
, -fsanitize=thread
, and -fsanitize=memory
checkers in the same program.
-f[no-]sanitize-recover=check1,check2,â¦
-f[no-]sanitize-recover[=all]
Controls which checks enabled by
-fsanitize=
flag are non-fatal. If the check is fatal, program will halt after the first error of this kind is detected and error report is printed.By default, non-fatal checks are those enabled by UndefinedBehaviorSanitizer, except for
-fsanitize=return
and-fsanitize=unreachable
. Some sanitizers may not support recovery (or not support it by default e.g. AddressSanitizer), and always crash the program after the issue is detected.Note that the
-fsanitize-trap
flag has precedence over this flag. This means that if a check has been configured to trap elsewhere on the command line, or if the check traps by default, this flag will not have any effect unless that sanitizerâs trapping behavior is disabled with-fno-sanitize-trap
.For example, if a command line contains the flags
-fsanitize=undefined -fsanitize-trap=undefined
, the flag-fsanitize-recover=alignment
will have no effect on its own; it will need to be accompanied by-fno-sanitize-trap=alignment
.
-f[no-]sanitize-trap=check1,check2,â¦
-f[no-]sanitize-trap[=all]
Controls which checks enabled by the
-fsanitize=
flag trap. This option is intended for use in cases where the sanitizer runtime cannot be used (for instance, when building libc or a kernel module), or where the binary size increase caused by the sanitizer runtime is a concern.This flag is only compatible with control flow integrity schemes and UndefinedBehaviorSanitizer checks other than
vptr
.This flag is enabled by default for sanitizers in the
cfi
group.
Disable or modify sanitizer checks for objects (source files, functions, variables, types) listed in the file. See Sanitizer special case list for file format description.
Donât use ignorelist file, if it was specified earlier in the command line.
-f[no-]sanitize-coverage=[type,features,â¦]
Enable simple code coverage in addition to certain sanitizers. See SanitizerCoverage for more details.
-f[no-]sanitize-address-outline-instrumentation
Controls how address sanitizer code is generated. If enabled will always use a function call instead of inlining the code. Turning this option on could reduce the binary size, but might result in a worse run-time performance.
See :doc: AddressSanitizer for more details.
-f[no-]sanitize-stats
Enable simple statistics gathering for the enabled sanitizers. See SanitizerStats for more details.
Deprecated alias for -fsanitize-trap=undefined
.
Enable cross-DSO control flow integrity checks. This flag modifies the behavior of sanitizers in the cfi
group to allow checking of cross-DSO virtual and indirect calls.
Generalize pointers in return and argument types in function type signatures checked by Control Flow Integrity indirect call checking. See Control Flow Integrity for more details.
Enable optimizations based on the strict rules for overwriting polymorphic C++ objects, i.e. the vptr is invariant during an objectâs lifetime. This enables better devirtualization. Turned off by default, because it is still experimental.
Enable whole-program vtable optimizations, such as single-implementation devirtualization and virtual constant propagation, for classes with hidden LTO visibility. Requires -flto
.
In order to improve devirtualization, forces emitting of vtables even in modules where it isnât necessary. It causes more inline virtual functions to be emitted.
Donât assume that the C++âs new operator is sane.
This option tells the compiler to do not assume that C++âs global new operator will always return a pointer that does not alias any other pointer when the function returns.
Instruct code generator to emit a function call to the specified function name for __builtin_trap()
.
LLVM code generator translates __builtin_trap()
to a trap instruction if it is supported by the target ISA. Otherwise, the builtin is translated into a call to abort
. If this option is set, then the code generator will always lower the builtin to a call to the specified function regardless of whether the target ISA has a trap instruction. This option is useful for environments (e.g. deeply embedded) where a trap cannot be properly handled, or when some custom behavior is desired.
Select which TLS model to use.
Valid values are: global-dynamic
, local-dynamic
, initial-exec
and local-exec
. The default value is global-dynamic
. The compiler may use a different model if the selected model is not supported by the target, or if a more efficient model can be used. The TLS model can be overridden per variable using the tls_model
attribute.
Select emulated TLS model, which overrides all -ftls-model choices.
In emulated TLS mode, all access to TLS variables are converted to calls to __emutls_get_address in the runtime library.
Select the ARM modes (arm or thumb) that support hardware division instructions.
Valid values are: arm
, thumb
and arm,thumb
. This option is used to indicate which mode (arm or thumb) supports hardware division instructions. This only applies to the ARM architecture.
Enable or disable CRC instructions.
This option is used to indicate whether CRC instructions are to be generated. This only applies to the ARM architecture.
CRC instructions are enabled by default on ARMv8.
Generate code which only uses the general purpose registers.
This option restricts the generated code to use general registers only. This only applies to the AArch64 architecture.
Control the usage of compact branches for MIPSR6.
Valid values are: never
, optimal
and always
. The default value is optimal
which generates compact branches when a delay slot cannot be filled. never
disables the usage of compact branches and always
generates compact branches whenever possible.
Instruct the code generator to not enforce a higher alignment than the given number (of bytes) when accessing memory via an opaque pointer or reference. This cap is ignored when directly accessing a variable or when the pointee type has an explicit âalignedâ attribute.
The value should usually be determined by the properties of the system allocator. Some builtin types, especially vector types, have very high natural alignments; when working with values of those types, Clang usually wants to use instructions that take advantage of that alignment. However, many system allocators do not promise to return memory that is more than 8-byte or 16-byte-aligned. Use this option to limit the alignment that the compiler can assume for an arbitrary pointer, which may point onto the heap.
This option does not affect the ABI alignment of types; the layout of structs and unions and the value returned by the alignof operator remain the same.
This option can be overridden on a case-by-case basis by putting an explicit âalignedâ alignment on a struct, union, or typedef. For example:
#include <immintrin.h> // Make an aligned typedef of the AVX-512 16-int vector type. typedef __v16si __aligned_v16si __attribute__((aligned(64))); void initialize_vector(__aligned_v16si *v) { // The compiler may assume that âvâ is 64-byte aligned, regardless of the // value of -fmax-type-align. }
Controls whether Clang emits an address-significance table into the object file. Address-significance tables allow linkers to implement safe ICF without the false positives that can result from other implementation techniques such as relocation scanning. Address-significance tables are enabled by default on ELF targets when using the integrated assembler. This flag currently only has an effect on ELF targets.
-f[no]-unique-internal-linkage-names
Controls whether Clang emits a unique (best-effort) symbol name for internal linkage symbols. When this option is set, compiler hashes the main source file path from the command line and appends it to all internal symbols. If a program contains multiple objects compiled with the same command-line source file path, the symbols are not guaranteed to be unique. This option is particularly useful in attributing profile information to the correct function when multiple functions with the same private linkage name exist in the binary.
It should be noted that this option cannot guarantee uniqueness and the following is an example where it is not unique when two modules contain symbols with the same private linkage name:
$ cd $P/foo && clang -c -funique-internal-linkage-names name_conflict.c $ cd $P/bar && clang -c -funique-internal-linkage-names name_conflict.c $ cd $P && clang foo/name_conflict.o && bar/name_conflict.o
-fbasic-block-sections=[labels, all, list=<arg>, none]
Profile Guided Optimization¶Controls how Clang emits text sections for basic blocks. With values
all
andlist=<arg>
, each basic block or a subset of basic blocks can be placed in its own unique section. With the âlabelsâ value, normal text sections are emitted, but a.bb_addr_map
section is emitted which includes address offsets for each basic block in the program, relative to the parent function address.With the
list=<arg>
option, a file containing the subset of basic blocks that need to placed in unique sections can be specified. The format of the file is as follows. For example,list=spec.txt
wherespec.txt
is the following:will place the machine basic block with
id 2
in functionfoo
in a unique section. It will also place all basic blocks of functionsbar
in unique sections.Further, section clusters can also be specified using the
list=<arg>
option. For example,list=spec.txt
wherespec.txt
contains:!foo !!1 !!3 !!5 !!2 !!4 !!6will create two unique sections for function
foo
with the first containing the odd numbered basic blocks and the second containing the even numbered basic blocks.Basic block sections allow the linker to reorder basic blocks and enables link-time optimizations like whole program inter-procedural basic block reordering.
Profile information enables better optimization. For example, knowing that a branch is taken very frequently helps the compiler make better decisions when ordering basic blocks. Knowing that a function foo
is called more frequently than another function bar
helps the inliner. Optimization levels -O2
and above are recommended for use of profile guided optimization.
Clang supports profile guided optimization with two different kinds of profiling. A sampling profiler can generate a profile with very low runtime overhead, or you can build an instrumented version of the code that collects more detailed profile information. Both kinds of profiles can provide execution counts for instructions in the code and information on branches taken and function invocation.
Regardless of which kind of profiling you use, be careful to collect profiles by running your code with inputs that are representative of the typical behavior. Code that is not exercised in the profile will be optimized as if it is unimportant, and the compiler may make poor optimization choices for code that is disproportionately used while profiling.
Differences Between Sampling and Instrumentation¶Although both techniques are used for similar purposes, there are important differences between the two:
Profile data generated with one cannot be used by the other, and there is no conversion tool that can convert one to the other. So, a profile generated via -fprofile-instr-generate
must be used with -fprofile-instr-use
. Similarly, sampling profiles generated by external profilers must be converted and used with -fprofile-sample-use
.
Instrumentation profile data can be used for code coverage analysis and optimization.
Sampling profiles can only be used for optimization. They cannot be used for code coverage analysis. Although it would be technically possible to use sampling profiles for code coverage, sample-based profiles are too coarse-grained for code coverage purposes; it would yield poor results.
Sampling profiles must be generated by an external tool. The profile generated by that tool must then be converted into a format that can be read by LLVM. The section on sampling profilers describes one of the supported sampling profile formats.
Sampling profilers are used to collect runtime information, such as hardware counters, while your application executes. They are typically very efficient and do not incur a large runtime overhead. The sample data collected by the profiler can be used during compilation to determine what the most executed areas of the code are.
Using the data from a sample profiler requires some changes in the way a program is built. Before the compiler can use profiling information, the code needs to execute under the profiler. The following is the usual build cycle when using sample profilers for optimization:
Build the code with source line table information. You can use all the usual build flags that you always build your application with. The only requirement is that you add -gline-tables-only
or -g
to the command line. This is important for the profiler to be able to map instructions back to source line locations.
$ clang++ -O2 -gline-tables-only code.cc -o code
Run the executable under a sampling profiler. The specific profiler you use does not really matter, as long as its output can be converted into the format that the LLVM optimizer understands. Currently, there exists a conversion tool for the Linux Perf profiler (https://perf.wiki.kernel.org/), so these examples assume that you are using Linux Perf to profile your code.
Note the use of the -b
flag. This tells Perf to use the Last Branch Record (LBR) to record call chains. While this is not strictly required, it provides better call information, which improves the accuracy of the profile data.
Convert the collected profile data to LLVMâs sample profile format. This is currently supported via the AutoFDO converter create_llvm_prof
. It is available at https://github.com/google/autofdo. Once built and installed, you can convert the perf.data
file to LLVM using the command:
$ create_llvm_prof --binary=./code --out=code.prof
This will read perf.data
and the binary file ./code
and emit the profile data in code.prof
. Note that if you ran perf
without the -b
flag, you need to use --use_lbr=false
when calling create_llvm_prof
.
Build the code again using the collected profile. This step feeds the profile back to the optimizers. This should result in a binary that executes faster than the original one. Note that you are not required to build the code with the exact same arguments that you used in the first step. The only requirement is that you build the code with -gline-tables-only
and -fprofile-sample-use
.
$ clang++ -O2 -gline-tables-only -fprofile-sample-use=code.prof code.cc -o code
Since external profilers generate profile data in a variety of custom formats, the data generated by the profiler must be converted into a format that can be read by the backend. LLVM supports three different sample profile formats:
ASCII text. This is the easiest one to generate. The file is divided into sections, which correspond to each of the functions with profile information. The format is described below. It can also be generated from the binary or gcov formats using the llvm-profdata
tool.
Binary encoding. This uses a more efficient encoding that yields smaller profile files. This is the format generated by the create_llvm_prof
tool in https://github.com/google/autofdo.
GCC encoding. This is based on the gcov format, which is accepted by GCC. It is only interesting in environments where GCC and Clang co-exist. This encoding is only generated by the create_gcov
tool in https://github.com/google/autofdo. It can be read by LLVM and llvm-profdata
, but it cannot be generated by either.
If you are using Linux Perf to generate sampling profiles, you can use the conversion tool create_llvm_prof
described in the previous section. Otherwise, you will need to write a conversion tool that converts your profilerâs native format into one of these three.
This section describes the ASCII text format for sampling profiles. It is, arguably, the easiest one to generate. If you are interested in generating any of the other two, consult the ProfileData
library in LLVMâs source tree (specifically, include/llvm/ProfileData/SampleProfReader.h
).
function1:total_samples:total_head_samples offset1[.discriminator]: number_of_samples [fn1:num fn2:num ... ] offset2[.discriminator]: number_of_samples [fn3:num fn4:num ... ] ... offsetN[.discriminator]: number_of_samples [fn5:num fn6:num ... ] offsetA[.discriminator]: fnA:num_of_total_samples offsetA1[.discriminator]: number_of_samples [fn7:num fn8:num ... ] offsetA1[.discriminator]: number_of_samples [fn9:num fn10:num ... ] offsetB[.discriminator]: fnB:num_of_total_samples offsetB1[.discriminator]: number_of_samples [fn11:num fn12:num ... ]
This is a nested tree in which the indentation represents the nesting level of the inline stack. There are no blank lines in the file. And the spacing within a single line is fixed. Additional spaces will result in an error while reading the file.
Any line starting with the â#â character is completely ignored.
Inlined calls are represented with indentation. The Inline stack is a stack of source locations in which the top of the stack represents the leaf function, and the bottom of the stack represents the actual symbol to which the instruction belongs.
Function names must be mangled in order for the profile loader to match them in the current translation unit. The two numbers in the function header specify how many total samples were accumulated in the function (first number), and the total number of samples accumulated in the prologue of the function (second number). This head sample count provides an indicator of how frequently the function is invoked.
There are two types of lines in the function body.
Sampled line represents the profile information of a source location. offsetN[.discriminator]: number_of_samples [fn5:num fn6:num ... ]
Callsite line represents the profile information of an inlined callsite. offsetA[.discriminator]: fnA:num_of_total_samples
Each sampled line may contain several items. Some are optional (marked below):
Source line offset. This number represents the line number in the function where the sample was collected. The line number is always relative to the line where symbol of the function is defined. So, if the function has its header at line 280, the offset 13 is at line 293 in the file.
Note that this offset should never be a negative number. This could happen in cases like macros. The debug machinery will register the line number at the point of macro expansion. So, if the macro was expanded in a line before the start of the function, the profile converter should emit a 0 as the offset (this means that the optimizers will not be able to associate a meaningful weight to the instructions in the macro).
[OPTIONAL] Discriminator. This is used if the sampled program was compiled with DWARF discriminator support (http://wiki.dwarfstd.org/index.php?title=Path_Discriminators). DWARF discriminators are unsigned integer values that allow the compiler to distinguish between multiple execution paths on the same source line location.
For example, consider the line of code if (cond) foo(); else bar();
. If the predicate cond
is true 80% of the time, then the edge into function foo
should be considered to be taken most of the time. But both calls to foo
and bar
are at the same source line, so a sample count at that line is not sufficient. The compiler needs to know which part of that line is taken more frequently.
This is what discriminators provide. In this case, the calls to foo
and bar
will be at the same line, but will have different discriminator values. This allows the compiler to correctly set edge weights into foo
and bar
.
Number of samples. This is an integer quantity representing the number of samples collected by the profiler at this source location.
[OPTIONAL] Potential call targets and samples. If present, this line contains a call instruction. This models both direct and number of samples. For example,
The above means that at relative line offset 130 there is a call instruction that calls one of foo()
, bar()
and baz()
, with baz()
being the relatively more frequently called target.
As an example, consider a program with the call chain main -> foo -> bar
. When built with optimizations enabled, the compiler may inline the calls to bar
and foo
inside main
. The generated profile could then be something like this:
main:35504:0 1: _Z3foov:35504 2: _Z32bari:31977 1.1: 31977 2: 0
This profile indicates that there were a total of 35,504 samples collected in main. All of those were at line 1 (the call to foo
). Of those, 31,977 were spent inside the body of bar
. The last line of the profile (2: 0
) corresponds to line 2 inside main
. No samples were collected there.
Clang also supports profiling via instrumentation. This requires building a special instrumented version of the code and has some runtime overhead during the profiling, but it provides more detailed results than a sampling profiler. It also provides reproducible results, at least to the extent that the code behaves consistently across runs.
Here are the steps for using profile guided optimization with instrumentation:
Build an instrumented version of the code by compiling and linking with the -fprofile-instr-generate
option.
$ clang++ -O2 -fprofile-instr-generate code.cc -o code
Run the instrumented executable with inputs that reflect the typical usage. By default, the profile data will be written to a default.profraw
file in the current directory. You can override that default by using option -fprofile-instr-generate=
or by setting the LLVM_PROFILE_FILE
environment variable to specify an alternate file. If non-default file name is specified by both the environment variable and the command line option, the environment variable takes precedence. The file name pattern specified can include different modifiers: %p
, %h
, and %m
.
Any instance of %p
in that file name will be replaced by the process ID, so that you can easily distinguish the profile output from multiple runs.
$ LLVM_PROFILE_FILE="code-%p.profraw" ./code
The modifier %h
can be used in scenarios where the same instrumented binary is run in multiple different host machines dumping profile data to a shared network based storage. The %h
specifier will be substituted with the hostname so that profiles collected from different hosts do not clobber each other.
While the use of %p
specifier can reduce the likelihood for the profiles dumped from different processes to clobber each other, such clobbering can still happen because of the pid
re-use by the OS. Another side-effect of using %p
is that the storage requirement for raw profile data files is greatly increased. To avoid issues like this, the %m
specifier can used in the profile name. When this specifier is used, the profiler runtime will substitute %m
with a unique integer identifier associated with the instrumented binary. Additionally, multiple raw profiles dumped from different processes that share a file system (can be on different hosts) will be automatically merged by the profiler runtime during the dumping. If the program links in multiple instrumented shared libraries, each library will dump the profile data into its own profile data file (with its unique integer id embedded in the profile name). Note that the merging enabled by %m
is for raw profile data generated by profiler runtime. The resulting merged ârawâ profile data file still needs to be converted to a different format expected by the compiler ( see step 3 below).
$ LLVM_PROFILE_FILE="code-%m.profraw" ./code
Combine profiles from multiple runs and convert the ârawâ profile format to the input expected by clang. Use the merge
command of the llvm-profdata
tool to do this.
$ llvm-profdata merge -output=code.profdata code-*.profraw
Note that this step is necessary even when there is only one ârawâ profile, since the merge operation also changes the file format.
Build the code again using the -fprofile-instr-use
option to specify the collected profile data.
$ clang++ -O2 -fprofile-instr-use=code.profdata code.cc -o code
You can repeat step 4 as often as you like without regenerating the profile. As you make changes to your code, clang may no longer be able to use the profile data. It will warn you when this happens.
Profile generation using an alternative instrumentation method can be controlled by the GCC-compatible flags -fprofile-generate
and -fprofile-use
. Although these flags are semantically equivalent to their GCC counterparts, they do not handle GCC-compatible profiles. They are only meant to implement GCCâs semantics with respect to profile creation and use. Flag -fcs-profile-generate
also instruments programs using the same instrumentation method as -fprofile-generate
.
The
-fprofile-generate
and-fprofile-generate=
flags will use an alternative instrumentation method for profile generation. When given a directory name, it generates the profile filedefault_%m.profraw
in the directory nameddirname
if specified. Ifdirname
does not exist, it will be created at runtime.%m
specifier will be substituted with a unique id documented in step 2 above. In other words, with-fprofile-generate[=<dirname>]
option, the ârawâ profile data automatic merging is turned on by default, so there will no longer any risk of profile clobbering from different running processes. For example,$ clang++ -O2 -fprofile-generate=yyy/zzz code.cc -o codeWhen
code
is executed, the profile will be written to the fileyyy/zzz/default_xxxx.profraw
.To generate the profile data file with the compiler readable format, the
llvm-profdata
tool can be used with the profile directory as the input:$ llvm-profdata merge -output=code.profdata yyy/zzz/
If the user wants to turn off the auto-merging feature, or simply override the the profile dumping path specified at command line, the environment variable LLVM_PROFILE_FILE
can still be used to override the directory and filename for the profile file at runtime.
The -fcs-profile-generate
and -fcs-profile-generate=
flags will use the same instrumentation method, and generate the same profile as in the -fprofile-generate
and -fprofile-generate=
flags. The difference is that the instrumentation is performed after inlining so that the resulted profile has a better context sensitive information. They cannot be used together with -fprofile-generate
and -fprofile-generate=
flags. They are typically used in conjunction with -fprofile-use
flag. The profile generated by -fcs-profile-generate
and -fprofile-generate
can be merged by llvm-profdata. A use example:
$ clang++ -O2 -fprofile-generate=yyy/zzz code.cc -o code $ ./code $ llvm-profdata merge -output=code.profdata yyy/zzz/
The first few steps are the same as that in -fprofile-generate
compilation. Then perform a second round of instrumentation.
$ clang++ -O2 -fprofile-use=code.profdata -fcs-profile-generate=sss/ttt \ -o cs_code $ ./cs_code $ llvm-profdata merge -output=cs_code.profdata sss/ttt code.profdata
The resulted cs_code.prodata
combines code.profdata
and the profile generated from binary cs_code
. Profile cs_code.profata
can be used by -fprofile-use
compilation.
$ clang++ -O2 -fprofile-use=cs_code.profdata
The above command will read both profiles to the compiler at the identical point of instrumentations.
Without any other arguments, -fprofile-use
behaves identically to -fprofile-instr-use
. Otherwise, if pathname
is the full path to a profile file, it reads from that file. If pathname
is a directory name, it reads from pathname/default.profdata
.
Unless -fsanitize=thread
is specified, the default is single
, which uses non-atomic increments. The counters can be inaccurate under thread contention. atomic
uses atomic increments which is accurate but has overhead. prefer-atomic
will be transformed to atomic
when supported by the target, or single
otherwise.
This option currently works with -fprofile-arcs
and -fprofile-instr-generate
, but not with -fprofile-generate
.
In certain situations, it may be useful to disable profile generation or use for specific files in a build, without affecting the main compilation flags used for the other files in the project.
In these cases, you can use the flag -fno-profile-instr-generate
(or -fno-profile-generate
) to disable profile generation, and -fno-profile-instr-use
(or -fno-profile-use
) to disable profile use.
Note that these flags should appear after the corresponding profile flags to have an effect.
Note
When none of the translation units inside a binary is instrumented, in the case of Fuchsia the profile runtime will not be linked into the binary and no profile will be produced, while on other platforms the profile runtime will be linked and profile will be produced but there will not be any counters.
Instrumenting only selected files or functions¶Sometimes itâs useful to only instrument certain files or functions. For example in automated testing infrastructure, it may be desirable to only instrument files or functions that were modified by a patch to reduce the overhead of instrumenting a full system.
This can be done using the -fprofile-list
option.
This option can be used to apply profile instrumentation only to selected files or functions. pathname
should point to a file in the Sanitizer special case list format which selects which files and functions to instrument.
$ echo "fun:test" > fun.list $ clang++ -O2 -fprofile-instr-generate -fprofile-list=fun.list code.cc -o code
The option can be specified multiple times to pass multiple files.
$ echo "!fun:*test*" > fun.list $ echo "src:code.cc" > src.list % clang++ -O2 -fprofile-instr-generate -fcoverage-mapping -fprofile-list=fun.list -fprofile-list=code.list code.cc -o code
To filter individual functions or entire source files using fun:<name>
or src:<file>
respectively. To exclude a function or a source file, use !fun:<name>
or !src:<file>
respectively. The format also supports wildcard expansion. The compiler generated functions are assumed to be located in the main source file. It is also possible to restrict the filter to a particular instrumentation type by using a named section.
# all functions whose name starts with foo will be instrumented. fun:foo* # except for foo1 which will be excluded from instrumentation. !fun:foo1 # every function in path/to/foo.cc will be instrumented. src:path/to/foo.cc # bar will be instrumented only when using backend instrumentation. # Recognized section names are clang, llvm and csllvm. [llvm] fun:bar
When the file contains only excludes, all files and functions except for the excluded ones will be instrumented. Otherwise, only the files and functions specified will be instrumented.
Profile remapping¶When the program is compiled after a change that affects many symbol names, pre-existing profile data may no longer match the program. For example:
switching from libstdc++ to libc++ will result in the mangled names of all functions taking standard library types to change
renaming a widely-used type in C++ will result in the mangled names of all functions that have parameters involving that type to change
moving from a 32-bit compilation to a 64-bit compilation may change the underlying type of
size_t
and similar types, resulting in changes to manglings
Clang allows use of a profile remapping file to specify that such differences in mangled names should be ignored when matching the profile data against the program.
Specifies a file containing profile remapping information, that will be used to match mangled names in the profile data to mangled names in the program.
The profile remapping file is a text file containing lines of the form
fragmentkind fragment1 fragment2
where fragmentkind
is one of name
, type
, or encoding
, indicating whether the following mangled name fragments are <name>s, <type>s, or <encoding>s, respectively. Blank lines and lines starting with #
are ignored.
For convenience, built-in <substitution>s such as St
and Ss
are accepted as <name>s (even though they technically are not <name>s).
For example, to specify that absl::string_view
and std::string_view
should be treated as equivalent when matching profile data, the following remapping file could be used:
# absl::string_view is considered equivalent to std::string_view type N4absl11string_viewE St17basic_string_viewIcSt11char_traitsIcEE # std:: might be std::__1:: in libc++ or std::__cxx11:: in libstdc++ name 3std St3__1 name 3std St7__cxx11
Matching profile data using a profile remapping file is supported on a best-effort basis. For example, information regarding indirect call targets is currently not remapped. For best results, you are encouraged to generate new profile data matching the updated program, or to remap the profile data using the llvm-cxxmap
and llvm-profdata merge
tools.
Note
Profile data remapping support is currently only implemented for LLVMâs new pass manager, which can be enabled with -fexperimental-new-pass-manager
.
Note
Profile data remapping is currently only supported for C++ mangled names following the Itanium C++ ABI mangling scheme. This covers all C++ targets supported by Clang other than Windows.
GCOV-based Profiling¶GCOV is a test coverage program, it helps to know how often a line of code is executed. When instrumenting the code with --coverage
option, some counters are added for each edge linking basic blocks.
At compile time, gcno files are generated containing information about blocks and edges between them. At runtime the counters are incremented and at exit the counters are dumped in gcda files.
The tool llvm-cov gcov
will parse gcno, gcda and source files to generate a report .c.gcov
.
Define a list of regexes separated by a semi-colon. If a file name matches any of the regexes then the file is instrumented.
$ clang --coverage -fprofile-filter-files=".*\.c$" foo.c
For example, this will only instrument files finishing with .c
, skipping .h
files.
Define a list of regexes separated by a semi-colon. If a file name doesnât match all the regexes then the file is instrumented.
$ clang --coverage -fprofile-exclude-files="^/usr/include/.*$" foo.c
For example, this will instrument all the files except the ones in /usr/include
.
If both options are used then a file is instrumented if its name matches any of the regexes from -fprofile-filter-list
and doesnât match all the regexes from -fprofile-exclude-list
.
$ clang --coverage -fprofile-exclude-files="^/usr/include/.*$" \ -fprofile-filter-files="^/usr/.*$"
In that case /usr/foo/oof.h
is instrumented since it matches the filter regex and doesnât match the exclude regex, but /usr/include/foo.h
doesnât since it matches the exclude regex.
Debug info kind generated by Clang can be set by one of the flags listed below. If multiple flags are present, the last one is used.
Donât generate any debug info (default).
Generate line number tables only.
This kind of debug info allows to obtain stack traces with function names, file names and line numbers (by such tools as gdb
or addr2line
). It doesnât contain any other data (e.g. description of local variables or function parameters).
Clang supports a number of optimizations to reduce the size of debug information in the binary. They work based on the assumption that the debug type information can be spread out over multiple compilation units. For instance, Clang will not emit type definitions for types that are not needed by a module and could be replaced with a forward declaration. Further, Clang will only emit type info for a dynamic C++ class in the module that contains the vtable for the class.
The -fstandalone-debug option turns off these optimizations. This is useful when working with 3rd-party libraries that donât come with debug information. Note that Clang will never emit type information for types that are not referenced at all by the program.
On Darwin -fstandalone-debug is enabled by default. The -fno-standalone-debug option can be used to get to turn on the vtable-based optimization described above.
This optimization is similar to the optimizations that are enabled as part of -fno-standalone-debug. Here, Clang only emits type info for a non-trivial, non-aggregate C++ class in the modules that contain a definition of one of its constructors. This relies on the additional assumption that all classes that are not trivially constructible have a non-trivial constructor that is used somewhere. The negation, -fno-use-ctor-homing, ensures that constructor homing is not used.
This flag is not enabled by default, and needs to be used with -cc1 or -Xclang.
Generate complete debug info.
By default, Clang does not emit type information for types that are defined but not used in a program. To retain the debug info for these unused types, the negation -fno-eliminate-unused-debug-types can be used.
Debug info for C preprocessor macros increases the size of debug information in the binary. Macro debug info generated by Clang can be controlled by the flags listed below.
Generate debug info for preprocessor macros. This flag is discarded when -g0 is enabled.
Do not generate debug info for preprocessor macros (default).
While Clang generally emits standard DWARF debug info (http://dwarfstd.org), different debuggers may know how to take advantage of different specific DWARF features. You can âtuneâ the debug info for one of several different debuggers.
Tune the debug info for the gdb
, lldb
, Sony PlayStation® debugger, or dbx
, respectively. Each of these options implies -g. (Therefore, if you want both -gline-tables-only and debugger tuning, the tuning option must come first.)
Emitting value names in LLVM IR increases the size and verbosity of the IR. By default, value names are only emitted in assertion-enabled builds of Clang. However, when reading IR it can be useful to re-enable the emission of value names to improve readability.
Discard value names when generating LLVM IR.
Do not discard value names when generating LLVM IR. This option can be used to re-enable names for release builds of Clang.
The support for standard C in clang is feature-complete except for the C99 floating-point pragmas.
Differences between various standard modes¶clang supports the -std option, which changes what language mode clang uses. The supported modes for C are c89, gnu89, c94, c99, gnu99, c11, gnu11, c17, gnu17, c2x, gnu2x, and various aliases for those modes. If no -std option is specified, clang defaults to gnu17 mode. Many C99 and C11 features are supported in earlier modes as a conforming extension, with a warning. Use -pedantic-errors
to request an error if a feature from a later standard revision is used in an earlier mode.
Differences between all c*
and gnu*
modes:
c*
modes define â__STRICT_ANSI__
â.
Target-specific defines not prefixed by underscores, like linux
, are defined in gnu*
modes.
Trigraphs default to being off in gnu*
modes; they can be enabled by the -trigraphs
option.
The parser recognizes asm
and typeof
as keywords in gnu*
modes; the variants __asm__
and __typeof__
are recognized in all modes.
The parser recognizes inline
as a keyword in gnu*
mode, in addition to recognizing it in the *99
and later modes for which it is part of the ISO C standard. The variant __inline__
is recognized in all modes.
The Apple âblocksâ extension is recognized by default in gnu*
modes on some platforms; it can be enabled in any mode with the -fblocks
option.
Differences between *89
and *94
modes:
Digraphs are not recognized in c89 mode.
Differences between *94
and *99
modes:
The *99
modes default to implementing inline
/ __inline__
as specified in C99, while the *89
modes implement the GNU version. This can be overridden for individual functions with the __gnu_inline__
attribute.
The scope of names defined inside a for
, if
, switch
, while
, or do
statement is different. (example: if ((struct x {int x;}*)0) {}
.)
__STDC_VERSION__
is not defined in *89
modes.
inline
is not recognized as a keyword in c89
mode.
restrict
is not recognized as a keyword in *89
modes.
Commas are allowed in integer constant expressions in *99
modes.
Arrays which are not lvalues are not implicitly promoted to pointers in *89
modes.
Some warnings are different.
Differences between *99
and *11
modes:
Warnings for use of C11 features are disabled.
__STDC_VERSION__
is defined to 201112L
rather than 199901L
.
Differences between *11
and *17
modes:
__STDC_VERSION__
is defined to 201710L
rather than 201112L
.
clang tries to be compatible with gcc as much as possible, but some gcc extensions are not implemented yet:
clang does not support decimal floating point types (_Decimal32
and friends) yet.
clang does not support nested functions; this is a complex feature which is infrequently used, so it is unlikely to be implemented anytime soon. In C++11 it can be emulated by assigning lambda functions to local variables, e.g:
auto const local_function = [&](int parameter) { // Do something }; ... local_function(1);
clang only supports global register variables when the register specified is non-allocatable (e.g. the stack pointer). Support for general global register variables is unlikely to be implemented soon because it requires additional LLVM backend support.
clang does not support static initialization of flexible array members. This appears to be a rarely used extension, but could be implemented pending user demand.
clang does not support __builtin_va_arg_pack
/__builtin_va_arg_pack_len
. This is used rarely, but in some potentially interesting places, like the glibc headers, so it may be implemented pending user demand. Note that because clang pretends to be like GCC 4.2, and this extension was introduced in 4.3, the glibc headers will not try to use this extension with clang at the moment.
clang does not support the gcc extension for forward-declaring function parameters; this has not shown up in any real-world code yet, though, so it might never be implemented.
This is not a complete list; if you find an unsupported extension missing from this list, please send an e-mail to cfe-dev. This list currently excludes C++; see C++ Language Features. Also, this list does not include bugs in mostly-implemented features; please see the bug tracker for known existing bugs (FIXME: Is there a section for bug-reporting guidelines somewhere?).
Intentionally unsupported GCC extensions¶clang does not support the gcc extension that allows variable-length arrays in structures. This is for a few reasons: one, it is tricky to implement, two, the extension is completely undocumented, and three, the extension appears to be rarely used. Note that clang does support flexible array members (arrays with a zero or unspecified size at the end of a structure).
GCC accepts many expression forms that are not valid integer constant expressions in bit-field widths, enumerator constants, case labels, and in array bounds at global scope. Clang also accepts additional expression forms in these contexts, but constructs that GCC accepts due to simplifications GCC performs while parsing, such as x - x
(where x
is a variable) will likely never be accepted by Clang.
clang does not support __builtin_apply
and friends; this extension is extremely obscure and difficult to implement reliably.
clang has support for many extensions from Microsoft Visual C++. To enable these extensions, use the -fms-extensions
command-line option. This is the default for Windows targets. Clang does not implement every pragma or declspec provided by MSVC, but the popular ones, such as __declspec(dllexport)
and #pragma comment(lib)
are well supported.
clang has a -fms-compatibility
flag that makes clang accept enough invalid C++ to be able to parse most Microsoft headers. For example, it allows unqualified lookup of dependent base class members, which is a common compatibility issue with clang. This flag is enabled by default for Windows targets.
-fdelayed-template-parsing
lets clang delay parsing of function template definitions until the end of a translation unit. This flag is enabled by default for Windows targets.
For compatibility with existing code that compiles with MSVC, clang defines the _MSC_VER
and _MSC_FULL_VER
macros. These default to the values of 1800 and 180000000 respectively, making clang look like an early release of Visual C++ 2013. The -fms-compatibility-version=
flag overrides these values. It accepts a dotted version tuple, such as 19.00.23506. Changing the MSVC compatibility version makes clang behave more like that version of MSVC. For example, -fms-compatibility-version=19
will enable C++14 features and define char16_t
and char32_t
as builtin types.
clang fully implements all of standard C++98 except for exported templates (which were removed in C++11), all of standard C++11, C++14, and C++17, and most of C++20.
See the C++ support in Clang page for detailed information on C++ feature support across Clang versions.
Controlling implementation limits¶Sets the limit for nested parentheses, brackets, and braces to N. The default is 256.
Sets the limit for recursive constexpr function invocations to N. The default is 512.
Sets the limit for the number of full-expressions evaluated in a single constant expression evaluation. The default is 1048576.
Sets the limit for recursively nested template instantiations to N. The default is 1024.
Sets the limit for iterative calls to âoperator->â functions to N. The default is 256.
Clang supports all OpenMP 4.5 directives and clauses. See OpenMP Support for additional details.
Use -fopenmp to enable OpenMP. Support for OpenMP can be disabled with -fno-openmp.
Use -fopenmp-simd to enable OpenMP simd features only, without linking the runtime library; for combined constructs (e.g. #pragma omp parallel for simd
) the non-simd directives and clauses will be ignored. This can be disabled with -fno-openmp-simd.
Controls code generation for OpenMP threadprivate variables. In presence of this option all threadprivate variables are generated the same way as thread local variables, using TLS support. If -fno-openmp-use-tls is provided or target does not support TLS, code generation for threadprivate variables relies on OpenMP runtime library.
Clang can be used to compile OpenCL kernels for execution on a device (e.g. GPU). It is possible to compile the kernel into a binary (e.g. for AMDGPU) that can be uploaded to run directly on a device (e.g. using clCreateProgramWithBinary) or into generic bitcode files loadable into other toolchains.
Compiling to a binary using the default target from the installation can be done as follows:
$ echo "kernel void k(){}" > test.cl $ clang test.cl
Compiling for a specific target can be done by specifying the triple corresponding to the target, for example:
$ clang -target nvptx64-unknown-unknown test.cl $ clang -target amdgcn-amd-amdhsa -mcpu=gfx900 test.cl
Compiling to bitcode can be done as follows:
$ clang -c -emit-llvm test.cl
This will produce a file test.bc that can be used in vendor toolchains to perform machine code generation.
Note that if compiled to bitcode for generic targets such as SPIR, portable IR is produced that can be used with various vendor tools as well as open source tools such as SPIRV-LLVM Translator to produce SPIR-V binary. More details are provided in the offline compilation from OpenCL kernel sources into SPIR-V using open source tools.
Clang currently supports OpenCL C language standards up to v2.0. Clang mainly supports full profile. There is only very limited support of the embedded profile. Starting from clang 9 a C++ mode is available for OpenCL (see C++ for OpenCL).
OpenCL v3.0 support is complete but it remains in experimental state, see more details about the experimental features in OpenCL Support page.
OpenCL Specific Options¶Most of the OpenCL build options from the specification v2.0 section 5.8.4 are available.
Examples:
$ clang -cl-std=CL2.0 -cl-single-precision-constant test.cl
Many flags used for the compilation for C sources can also be passed while compiling for OpenCL, examples: -c
, -O<1-4|s>
, -o
, -emit-llvm
, etc.
Some extra options are available to support special OpenCL features.
Allows to disable all extra types and functions that are not native to the compiler. This might reduce the compilation speed marginally but many declarations from the OpenCL standard will not be accessible. For example, the following will fail to compile.
$ echo "bool is_wg_uniform(int i){return get_enqueued_local_size(i)==get_local_size(i);}" > test.cl $ clang -cl-std=CL2.0 -cl-no-stdinc test.cl error: use of undeclared identifier 'get_enqueued_local_size' error: use of undeclared identifier 'get_local_size'
More information about the standard types and functions is provided in the section on the OpenCL Header.
OpenCL Targets¶OpenCL targets are derived from the regular Clang target classes. The OpenCL specific parts of the target representation provide address space mapping as well as a set of supported extensions.
Specific Targets¶There is a set of concrete HW architectures that OpenCL can be compiled for.
For AMD target:
$ clang -target amdgcn-amd-amdhsa -mcpu=gfx900 test.cl
For Nvidia architectures:
$ clang -target nvptx64-unknown-unknown test.cl
A SPIR-V binary can be produced for 32 or 64 bit targets.
$ clang -target spirv32 test.cl $ clang -target spirv64 test.cl
More details can be found in the SPIR-V support section.
SPIR is available as a generic target to allow portable bitcode to be produced that can be used across GPU toolchains. The implementation follows the SPIR specification. There are two flavors available for 32 and 64 bits.
$ clang -target spir test.cl -emit-llvm -c $ clang -target spir64 test.cl -emit-llvm -c
All known OpenCL extensions are supported in the SPIR targets. Clang will generate SPIR v1.2 compatible IR for OpenCL versions up to 2.0 and SPIR v2.0 for OpenCL v2.0 or C++ for OpenCL.
x86 is used by some implementations that are x86 compatible and currently remains for backwards compatibility (with older implementations prior to SPIR target support). For ânon-SPMDâ targets which cannot spawn multiple work-items on the fly using hardware, which covers practically all non-GPU devices such as CPUs and DSPs, additional processing is needed for the kernels to support multiple work-item execution. For this, a 3rd party toolchain, such as for example POCL, can be used.
This target does not support multiple memory segments and, therefore, the fake address space map can be added using the -ffake-address-space-map flag.
Most of the cl_khr_*
extensions to OpenCL C from the official OpenCL registry are available and configured per target depending on the support available in the specific architecture.
It is possible to alter the default extensions setting per target using -cl-ext
flag. (See flags description for more details).
Vendor extensions can be added flexibly by declaring the list of types and functions associated with each extensions enclosed within the following compiler pragma directives:
#pragma OPENCL EXTENSION the_new_extension_name : begin // declare types and functions associated with the extension here #pragma OPENCL EXTENSION the_new_extension_name : end
For example, parsing the following code adds my_t
type and my_func
function to the custom my_ext
extension.
#pragma OPENCL EXTENSION my_ext : begin typedef struct{ int a; }my_t; void my_func(my_t); #pragma OPENCL EXTENSION my_ext : end
There is no conflict resolution for identifier clashes among extensions. It is therefore recommended that the identifiers are prefixed with a double underscore to avoid clashing with user space identifiers. Vendor extension should use reserved identifier prefix e.g. amd, arm, intel.
Clang also supports language extensions documented in The OpenCL C Language Extensions Documentation.
OpenCL-Specific Attributes¶OpenCL support in Clang contains a set of attribute taken directly from the specification as well as additional attributes.
See also Attributes in Clang.
nosvm¶Clang supports this attribute to comply to OpenCL v2.0 conformance, but it does not have any effect on the IR. For more details reffer to the specification section 6.7.2
convergent¶To make sure no invalid optimizations occur for single program multiple data (SPMD) / single instruction multiple thread (SIMT) Clang provides attributes that can be used for special functions that have cross work item semantics. An example is the subgroup operations such as intel_sub_group_shuffle
// Define custom my_sub_group_shuffle(data, c) // that makes use of intel_sub_group_shuffle r1 = ... if (r0) r1 = computeA(); // Shuffle data from r1 into r3 // of threads id r2. r3 = my_sub_group_shuffle(r1, r2); if (r0) r3 = computeB();
with non-SPMD semantics this is optimized to the following equivalent code:
r1 = ... if (!r0) // Incorrect functionality! The data in r1 // have not been computed by all threads yet. r3 = my_sub_group_shuffle(r1, r2); else { r1 = computeA(); r3 = my_sub_group_shuffle(r1, r2); r3 = computeB(); }
Declaring the function my_sub_group_shuffle
with the convergent attribute would prevent this:
my_sub_group_shuffle() __attribute__((convergent));
Using convergent
guarantees correct execution by keeping CFG equivalence wrt operations marked as convergent
. CFG G´
is equivalent to G
wrt node Ni
: iff â Nj (iâ j)
domination and post-domination relations with respect to Ni
remain the same in both G
and G´
.
noduplicate
is more restrictive with respect to optimizations than convergent
because a convergent function only preserves CFG equivalence. This allows some optimizations to happen as long as the control flow remains unmodified.
for (int i=0; i<4; i++) my_sub_group_shuffle()
can be modified to:
my_sub_group_shuffle(); my_sub_group_shuffle(); my_sub_group_shuffle(); my_sub_group_shuffle();
while using noduplicate
would disallow this. Also noduplicate
doesnât have the same safe semantics of CFG as convergent
and can cause changes in CFG that modify semantics of the original program.
noduplicate
is kept for backwards compatibility only and it considered to be deprecated for future uses.
Starting from clang 9 kernel code can contain C++17 features: classes, templates, function overloading, type deduction, etc. Please note that this is not an implementation of OpenCL C++ and there is no plan to support it in clang in any new releases in the near future.
Clang currently supports C++ for OpenCL 1.0 and 2021. For detailed information about this language refer to the C++ for OpenCL Programming Language Documentation available in the latest build or in the official release.
To enable the C++ for OpenCL mode, pass one of following command line options when compiling .clcpp
file:
C++ for OpenCL 1.0: -cl-std=clc++
, -cl-std=CLC++
, -cl-std=clc++1.0
, -cl-std=CLC++1.0
, -std=clc++
, -std=CLC++
, -std=clc++1.0
or -std=CLC++1.0
.
C++ for OpenCL 2021: -cl-std=clc++2021
, -cl-std=CLC++2021
, -std=clc++2021
, -std=CLC++2021
.
template<class T> T add( T x, T y ) { return x + y; } __kernel void test( __global float* a, __global float* b) { auto index = get_global_id(0); a[index] = add(b[index], b[index+1]); }
clang -cl-std=clc++1.0 test.clcpp
By default, files with .clcpp
extension are compiled with the C++ for OpenCL 1.0 mode.
For backward compatibility files with .cl
extensions can also be compiled in C++ for OpenCL mode but the desirable language mode must be activated with a flag.
clang -cl-std=clc++ test.cl
Support of C++ for OpenCL 2021 is currently in experimental phase, refer to OpenCL Support for more details.
C++ for OpenCL kernel sources can also be compiled online in drivers supporting cl_ext_cxx_for_opencl extension.
Constructing and destroying global objects¶Global objects with non-trivial constructors require the constructors to be run before the first kernel using the global objects is executed. Similarly global objects with non-trivial destructors require destructor invocation just after the last kernel using the program objects is executed. In OpenCL versions earlier than v2.2 there is no support for invoking global constructors. However, an easy workaround is to manually enqueue the constructor initialization kernel that has the following name scheme _GLOBAL__sub_I_<compiled file name>
. This kernel is only present if there are global objects with non-trivial constructors present in the compiled binary. One way to check this is by passing CL_PROGRAM_KERNEL_NAMES
to clGetProgramInfo
(OpenCL v2.0 s5.8.7) and then checking whether any kernel name matches the naming scheme of global constructor initialization kernel above.
Note that if multiple files are compiled and linked into libraries, multiple kernels that initialize global objects for multiple modules would have to be invoked.
Applications are currently required to run initialization of global objects manually before running any kernels in which the objects are used.
clang -cl-std=clc++ test.cl
If there are any global objects to be initialized, the final binary will contain the _GLOBAL__sub_I_test.cl
kernel to be enqueued.
Note that the manual workaround only applies to objects declared at the program scope. There is no manual workaround for the construction of static objects with non-trivial constructors inside functions.
Global destructors can not be invoked manually in the OpenCL v2.0 drivers. However, all memory used for program scope objects should be released on clReleaseProgram
.
The support for X86 (both 32-bit and 64-bit) is considered stable on Darwin (macOS), Linux, FreeBSD, and Dragonfly BSD: it has been tested to correctly compile many large C, C++, Objective-C, and Objective-C++ codebases.
On x86_64-mingw32
, passing i128(by value) is incompatible with the Microsoft x64 calling convention. You might need to tweak WinX86_64ABIInfo::classify()
in lib/CodeGen/TargetInfo.cpp.
For the X86 target, clang supports the -m16 command line argument which enables 16-bit code output. This is broadly similar to using asm(".code16gcc")
with the GNU toolchain. The generated code and the ABI remains 32-bit but the assembler emits instructions appropriate for a CPU running in 16-bit mode, with address-size and operand-size prefixes to enable 32-bit addressing and operations.
Several micro-architecture levels as specified by the x86-64 psABI are defined. They are cumulative in the sense that features from previous levels are implicitly included in later levels.
-march=x86-64
: CMOV, CMPXCHG8B, FPU, FXSR, MMX, FXSR, SCE, SSE, SSE2
-march=x86-64-v2
: (close to Nehalem) CMPXCHG16B, LAHF-SAHF, POPCNT, SSE3, SSE4.1, SSE4.2, SSSE3
-march=x86-64-v3
: (close to Haswell) AVX, AVX2, BMI1, BMI2, F16C, FMA, LZCNT, MOVBE, XSAVE
-march=x86-64-v4
: AVX512F, AVX512BW, AVX512CD, AVX512DQ, AVX512VL
The support for ARM (specifically ARMv6 and ARMv7) is considered stable on Darwin (iOS): it has been tested to correctly compile many large C, C++, Objective-C, and Objective-C++ codebases. Clang only supports a limited number of ARM architectures. It does not yet fully support ARMv5, for example.
PowerPC¶The support for PowerPC (especially PowerPC64) is considered stable on Linux and FreeBSD: it has been tested to correctly compile many large C and C++ codebases. PowerPC (32bit) is still missing certain features (e.g. PIC code on ELF platforms).
Other platforms¶clang currently contains some support for other architectures (e.g. Sparc); however, significant pieces of code generation are still missing, and they havenât undergone significant testing.
clang contains limited support for the MSP430 embedded processor, but both the clang support and the LLVM backend support are highly experimental.
Other platforms are completely unsupported at the moment. Adding the minimal support needed for parsing and semantic analysis on a new platform is quite easy; see lib/Basic/Targets.cpp
in the clang source tree. This level of support is also sufficient for conversion to LLVM IR for simple programs. Proper support for conversion to LLVM IR requires adding code to lib/CodeGen/CGCall.cpp
at the moment; this is likely to change soon, though. Generating assembly requires a suitable LLVM backend.
Clang has experimental support for targeting âCygmingâ (Cygwin / MinGW) platforms.
See also Microsoft Extensions.
MinGW32¶Clang works on some mingw32 distributions. Clang assumes directories as below;
C:/mingw/include
C:/mingw/lib
C:/mingw/lib/gcc/mingw32/4.[3-5].0/include/c++
On MSYS, a few tests might fail.
MinGW-w64¶For 32-bit (i686-w64-mingw32), and 64-bit (x86_64-w64-mingw32), Clang assumes as below;
GCC versions 4.5.0 to 4.5.3, 4.6.0 to 4.6.2, or 4.7.0 (for the C++ header search path)
some_directory/bin/gcc.exe
some_directory/bin/clang.exe
some_directory/bin/clang++.exe
some_directory/bin/../include/c++/GCC_version
some_directory/bin/../include/c++/GCC_version/x86_64-w64-mingw32
some_directory/bin/../include/c++/GCC_version/i686-w64-mingw32
some_directory/bin/../include/c++/GCC_version/backward
some_directory/bin/../x86_64-w64-mingw32/include
some_directory/bin/../i686-w64-mingw32/include
some_directory/bin/../include
This directory layout is standard for any toolchain you will find on the official MinGW-w64 website.
Clang expects the GCC executable âgcc.exeâ compiled for i686-w64-mingw32
(or x86_64-w64-mingw32
) to be present on PATH.
Some tests might fail on x86_64-w64-mingw32
.
Clang supports generation of SPIR-V conformant to the OpenCL Environment Specification.
To generate SPIR-V binaries, Clang uses the external llvm-spirv
tool from the SPIRV-LLVM-Translator repo.
Prior to the generation of SPIR-V binary with Clang, llvm-spirv
should be built or installed. Please refer to the following instructions for more details. Clang will expects the llvm-spirv
executable to be present in the PATH
environment variable. Clang uses llvm-spirv
with the widely adopted assembly syntax package.
The versioning of llvm-spirv
is aligned with Clang major releases. The same applies to the main development branch. It is therefore important to ensure the llvm-spirv
version is in alignment with the Clang version. For troubleshooting purposes llvm-spirv
can be tested in isolation.
Example usage for OpenCL kernel compilation:
$ clang -target spirv32 test.cl $ clang -target spirv64 test.cl
Both invocations of Clang will result in the generation of a SPIR-V binary file test.o for 32 bit and 64 bit respectively. This file can be imported by an OpenCL driver that support SPIR-V consumption or it can be compiled further by offline SPIR-V consumer tools.
Converting to SPIR-V produced with the optimization levels other than -O0 is currently available as an experimental feature and it is not guaranteed to work in all cases.
Linking is done using spirv-link
from the SPIRV-Tools project. Similar to other external linkers, Clang will expect spirv-link
to be installed separately and to be present in the PATH
environment variable. Please refer to the build and installation instructions.
clang-cl is an alternative command-line interface to Clang, designed for compatibility with the Visual C++ compiler, cl.exe.
To enable clang-cl to find system headers, libraries, and the linker when run from the command-line, it should be executed inside a Visual Studio Native Tools Command Prompt or a regular Command Prompt where the environment has been set up using e.g. vcvarsall.bat.
clang-cl can also be used from inside Visual Studio by selecting the LLVM Platform Toolset. The toolset is not part of the installer, but may be installed separately from the Visual Studio Marketplace. To use the toolset, select a project in Solution Explorer, open its Property Page (Alt+F7), and in the âGeneralâ section of âConfiguration Propertiesâ change âPlatform Toolsetâ to LLVM. Doing so enables an additional Property Page for selecting the clang-cl executable to use for builds.
To use the toolset with MSBuild directly, invoke it with e.g. /p:PlatformToolset=LLVM
. This allows trying out the clang-cl toolchain without modifying your project files.
Itâs also possible to point MSBuild at clang-cl without changing toolset by passing /p:CLToolPath=c:\llvm\bin /p:CLToolExe=clang-cl.exe
.
When using CMake and the Visual Studio generators, the toolset can be set with the -T
flag:
cmake -G"Visual Studio 16 2019" -T LLVM ..
When using CMake with the Ninja generator, set the CMAKE_C_COMPILER
and CMAKE_CXX_COMPILER
variables to clang-cl:
Command-Line Options¶cmake -GNinja -DCMAKE_C_COMPILER="c:/Program Files (x86)/LLVM/bin/clang-cl.exe" -DCMAKE_CXX_COMPILER="c:/Program Files (x86)/LLVM/bin/clang-cl.exe" ..
To be compatible with cl.exe, clang-cl supports most of the same command-line options. Those options can start with either /
or -
. It also supports some of Clangâs core options, such as the -W
options.
Options that are known to clang-cl, but not currently supported, are ignored with a warning. For example:
clang-cl.exe: warning: argument unused during compilation: '/AI'
To suppress warnings about unused arguments, use the -Qunused-arguments
option.
Options that are not known to clang-cl will be ignored by default. Use the -Werror=unknown-argument
option in order to treat them as errors. If these options are spelled with a leading /
, they will be mistaken for a filename:
clang-cl.exe: error: no such file or directory: '/foobar'
Please file a bug for any valid cl.exe flags that clang-cl does not understand.
Execute clang-cl /?
to see a list of supported options:
The /clang: Option¶CL.EXE COMPATIBILITY OPTIONS: /? Display available options /arch:<value> Set architecture for code generation /Brepro- Emit an object file which cannot be reproduced over time /Brepro Emit an object file which can be reproduced over time /clang:<arg> Pass <arg> to the clang driver /C Don't discard comments when preprocessing /c Compile only /d1PP Retain macro definitions in /E mode /d1reportAllClassLayout Dump record layout information /diagnostics:caret Enable caret and column diagnostics (on by default) /diagnostics:classic Disable column and caret diagnostics /diagnostics:column Disable caret diagnostics but keep column info /D <macro[=value]> Define macro /EH<value> Exception handling model /EP Disable linemarker output and preprocess to stdout /execution-charset:<value> Runtime encoding, supports only UTF-8 /E Preprocess to stdout /FA Output assembly code file during compilation /Fa<file or directory> Output assembly code to this file during compilation (with /FA) /Fe<file or directory> Set output executable file or directory (ends in / or \) /FI <value> Include file before parsing /Fi<file> Set preprocess output file name (with /P) /Fo<file or directory> Set output object file, or directory (ends in / or \) (with /c) /fp:except- /fp:except /fp:fast /fp:precise /fp:strict /Fp<filename> Set pch filename (with /Yc and /Yu) /GA Assume thread-local variables are defined in the executable /Gd Set __cdecl as a default calling convention /GF- Disable string pooling /GF Enable string pooling (default) /GR- Disable emission of RTTI data /Gregcall Set __regcall as a default calling convention /GR Enable emission of RTTI data /Gr Set __fastcall as a default calling convention /GS- Disable buffer security check /GS Enable buffer security check (default) /Gs Use stack probes (default) /Gs<value> Set stack probe size (default 4096) /guard:<value> Enable Control Flow Guard with /guard:cf, or only the table with /guard:cf,nochecks. Enable EH Continuation Guard with /guard:ehcont /Gv Set __vectorcall as a default calling convention /Gw- Don't put each data item in its own section /Gw Put each data item in its own section /GX- Disable exception handling /GX Enable exception handling /Gy- Don't put each function in its own section (default) /Gy Put each function in its own section /Gz Set __stdcall as a default calling convention /help Display available options /imsvc <dir> Add directory to system include search path, as if part of %INCLUDE% /I <dir> Add directory to include search path /J Make char type unsigned /LDd Create debug DLL /LD Create DLL /link <options> Forward options to the linker /MDd Use DLL debug run-time /MD Use DLL run-time /MTd Use static debug run-time /MT Use static run-time /O0 Disable optimization /O1 Optimize for size (same as /Og /Os /Oy /Ob2 /GF /Gy) /O2 Optimize for speed (same as /Og /Oi /Ot /Oy /Ob2 /GF /Gy) /Ob0 Disable function inlining /Ob1 Only inline functions which are (explicitly or implicitly) marked inline /Ob2 Inline functions as deemed beneficial by the compiler /Od Disable optimization /Og No effect /Oi- Disable use of builtin functions /Oi Enable use of builtin functions /Os Optimize for size /Ot Optimize for speed /Ox Deprecated (same as /Og /Oi /Ot /Oy /Ob2); use /O2 instead /Oy- Disable frame pointer omission (x86 only, default) /Oy Enable frame pointer omission (x86 only) /O<flags> Set multiple /O flags at once; e.g. '/O2y-' for '/O2 /Oy-' /o <file or directory> Set output file or directory (ends in / or \) /P Preprocess to file /Qvec- Disable the loop vectorization passes /Qvec Enable the loop vectorization passes /showFilenames- Don't print the name of each compiled file (default) /showFilenames Print the name of each compiled file /showIncludes Print info about included files to stderr /source-charset:<value> Source encoding, supports only UTF-8 /std:<value> Language standard to compile for /TC Treat all source files as C /Tc <filename> Specify a C source file /TP Treat all source files as C++ /Tp <filename> Specify a C++ source file /utf-8 Set source and runtime encoding to UTF-8 (default) /U <macro> Undefine macro /vd<value> Control vtordisp placement /vmb Use a best-case representation method for member pointers /vmg Use a most-general representation for member pointers /vmm Set the default most-general representation to multiple inheritance /vms Set the default most-general representation to single inheritance /vmv Set the default most-general representation to virtual inheritance /volatile:iso Volatile loads and stores have standard semantics /volatile:ms Volatile loads and stores have acquire and release semantics /W0 Disable all warnings /W1 Enable -Wall /W2 Enable -Wall /W3 Enable -Wall /W4 Enable -Wall and -Wextra /Wall Enable -Weverything /WX- Do not treat warnings as errors /WX Treat warnings as errors /w Disable all warnings /X Don't add %INCLUDE% to the include search path /Y- Disable precompiled headers, overrides /Yc and /Yu /Yc<filename> Generate a pch file for all code up to and including <filename> /Yu<filename> Load a pch file and use it instead of all code up to and including <filename> /Z7 Enable CodeView debug information in object files /Zc:char8_t Enable C++2a char8_t type /Zc:char8_t- Disable C++2a char8_t type /Zc:dllexportInlines- Don't dllexport/dllimport inline member functions of dllexport/import classes /Zc:dllexportInlines dllexport/dllimport inline member functions of dllexport/import classes (default) /Zc:sizedDealloc- Disable C++14 sized global deallocation functions /Zc:sizedDealloc Enable C++14 sized global deallocation functions /Zc:strictStrings Treat string literals as const /Zc:threadSafeInit- Disable thread-safe initialization of static variables /Zc:threadSafeInit Enable thread-safe initialization of static variables /Zc:trigraphs- Disable trigraphs (default) /Zc:trigraphs Enable trigraphs /Zc:twoPhase- Disable two-phase name lookup in templates /Zc:twoPhase Enable two-phase name lookup in templates /Zi Alias for /Z7. Does not produce PDBs. /Zl Don't mention any default libraries in the object file /Zp Set the default maximum struct packing alignment to 1 /Zp<value> Specify the default maximum struct packing alignment /Zs Syntax-check only OPTIONS: -### Print (but do not run) the commands to run for this compilation --analyze Run the static analyzer -faddrsig Emit an address-significance table -fansi-escape-codes Use ANSI escape codes for diagnostics -fblocks Enable the 'blocks' language feature -fcf-protection=<value> Instrument control-flow architecture protection. Options: return, branch, full, none. -fcf-protection Enable cf-protection in 'full' mode -fcolor-diagnostics Use colors in diagnostics -fcomplete-member-pointers Require member pointer base types to be complete if they would be significant under the Microsoft ABI -fcoverage-mapping Generate coverage mapping to enable code coverage analysis -fcrash-diagnostics-dir=<dir> Put crash-report files in <dir> -fdebug-macro Emit macro debug information -fdelayed-template-parsing Parse templated function definitions at the end of the translation unit -fdiagnostics-absolute-paths Print absolute paths in diagnostics -fdiagnostics-parseable-fixits Print fix-its in machine parseable form -flto=<value> Set LTO mode to either 'full' or 'thin' -flto Enable LTO in 'full' mode -fmerge-all-constants Allow merging of constants -fms-compatibility-version=<value> Dot-separated value representing the Microsoft compiler version number to report in _MSC_VER (0 = don't define it (default)) -fms-compatibility Enable full Microsoft Visual C++ compatibility -fms-extensions Accept some non-standard constructs supported by the Microsoft compiler -fmsc-version=<value> Microsoft compiler version number to report in _MSC_VER (0 = don't define it (default)) -fno-addrsig Don't emit an address-significance table -fno-builtin-<value> Disable implicit builtin knowledge of a specific function -fno-builtin Disable implicit builtin knowledge of functions -fno-complete-member-pointers Do not require member pointer base types to be complete if they would be significant under the Microsoft ABI -fno-coverage-mapping Disable code coverage analysis -fno-crash-diagnostics Disable auto-generation of preprocessed source files and a script for reproduction during a clang crash -fno-debug-macro Do not emit macro debug information -fno-delayed-template-parsing Disable delayed template parsing -fno-sanitize-address-poison-custom-array-cookie Disable poisoning array cookies when using custom operator new[] in AddressSanitizer -fno-sanitize-address-use-after-scope Disable use-after-scope detection in AddressSanitizer -fno-sanitize-address-use-odr-indicator Disable ODR indicator globals -fno-sanitize-ignorelist Don't use ignorelist file for sanitizers -fno-sanitize-cfi-cross-dso Disable control flow integrity (CFI) checks for cross-DSO calls. -fno-sanitize-coverage=<value> Disable specified features of coverage instrumentation for Sanitizers -fno-sanitize-memory-track-origins Disable origins tracking in MemorySanitizer -fno-sanitize-memory-use-after-dtor Disable use-after-destroy detection in MemorySanitizer -fno-sanitize-recover=<value> Disable recovery for specified sanitizers -fno-sanitize-stats Disable sanitizer statistics gathering. -fno-sanitize-thread-atomics Disable atomic operations instrumentation in ThreadSanitizer -fno-sanitize-thread-func-entry-exit Disable function entry/exit instrumentation in ThreadSanitizer -fno-sanitize-thread-memory-access Disable memory access instrumentation in ThreadSanitizer -fno-sanitize-trap=<value> Disable trapping for specified sanitizers -fno-standalone-debug Limit debug information produced to reduce size of debug binary -fobjc-runtime=<value> Specify the target Objective-C runtime kind and version -fprofile-exclude-files=<value> Instrument only functions from files where names don't match all the regexes separated by a semi-colon -fprofile-filter-files=<value> Instrument only functions from files where names match any regex separated by a semi-colon -fprofile-instr-generate=<file> Generate instrumented code to collect execution counts into <file> (overridden by LLVM_PROFILE_FILE env var) -fprofile-instr-generate Generate instrumented code to collect execution counts into default.profraw file (overridden by '=' form of option or LLVM_PROFILE_FILE env var) -fprofile-instr-use=<value> Use instrumentation data for profile-guided optimization -fprofile-remapping-file=<file> Use the remappings described in <file> to match the profile data against names in the program -fprofile-list=<file> Filename defining the list of functions/files to instrument -fsanitize-address-field-padding=<value> Level of field padding for AddressSanitizer -fsanitize-address-globals-dead-stripping Enable linker dead stripping of globals in AddressSanitizer -fsanitize-address-poison-custom-array-cookie Enable poisoning array cookies when using custom operator new[] in AddressSanitizer -fsanitize-address-use-after-return=<mode> Select the mode of detecting stack use-after-return in AddressSanitizer: never | runtime (default) | always -fsanitize-address-use-after-scope Enable use-after-scope detection in AddressSanitizer -fsanitize-address-use-odr-indicator Enable ODR indicator globals to avoid false ODR violation reports in partially sanitized programs at the cost of an increase in binary size -fsanitize-ignorelist=<value> Path to ignorelist file for sanitizers -fsanitize-cfi-cross-dso Enable control flow integrity (CFI) checks for cross-DSO calls. -fsanitize-cfi-icall-generalize-pointers Generalize pointers in CFI indirect call type signature checks -fsanitize-coverage=<value> Specify the type of coverage instrumentation for Sanitizers -fsanitize-hwaddress-abi=<value> Select the HWAddressSanitizer ABI to target (interceptor or platform, default interceptor) -fsanitize-memory-track-origins=<value> Enable origins tracking in MemorySanitizer -fsanitize-memory-track-origins Enable origins tracking in MemorySanitizer -fsanitize-memory-use-after-dtor Enable use-after-destroy detection in MemorySanitizer -fsanitize-recover=<value> Enable recovery for specified sanitizers -fsanitize-stats Enable sanitizer statistics gathering. -fsanitize-thread-atomics Enable atomic operations instrumentation in ThreadSanitizer (default) -fsanitize-thread-func-entry-exit Enable function entry/exit instrumentation in ThreadSanitizer (default) -fsanitize-thread-memory-access Enable memory access instrumentation in ThreadSanitizer (default) -fsanitize-trap=<value> Enable trapping for specified sanitizers -fsanitize-undefined-strip-path-components=<number> Strip (or keep only, if negative) a given number of path components when emitting check metadata. -fsanitize=<check> Turn on runtime checks for various forms of undefined or suspicious behavior. See user manual for available checks -fsplit-lto-unit Enables splitting of the LTO unit. -fstandalone-debug Emit full debug info for all types used by the program -fwhole-program-vtables Enables whole-program vtable optimization. Requires -flto -gcodeview-ghash Emit type record hashes in a .debug$H section -gcodeview Generate CodeView debug information -gline-directives-only Emit debug line info directives only -gline-tables-only Emit debug line number tables only -miamcu Use Intel MCU ABI -mllvm <value> Additional arguments to forward to LLVM's option processing -nobuiltininc Disable builtin #include directories -Qunused-arguments Don't emit warning for unused driver arguments -R<remark> Enable the specified remark --target=<value> Generate code for the given target --version Print version information -v Show commands to run and use verbose output -W<warning> Enable the specified warning -Xclang <arg> Pass <arg> to the clang compiler
When clang-cl is run with a set of /clang:<arg>
options, it will gather all of the <arg>
arguments and process them as if they were passed to the clang driver. This mechanism allows you to pass flags that are not exposed in the clang-cl options or flags that have a different meaning when passed to the clang driver. Regardless of where they appear in the command line, the /clang:
arguments are treated as if they were passed at the end of the clang-cl command line.
This causes the class-level dllexport and dllimport attributes to not apply to inline member functions, as they otherwise would. For example, in the code below S::foo() would normally be defined and exported by the DLL, but when using the /Zc:dllexportInlines-
flag it is not:
struct __declspec(dllexport) S { void foo() {} }
This has the benefit that the compiler doesnât need to emit a definition of S::foo() in every translation unit where the declaration is included, as it would otherwise do to ensure thereâs a definition in the DLL even if itâs not used there. If the declaration occurs in a header file thatâs widely used, this can save significant compilation time and output size. It also reduces the number of functions exported by the DLL similarly to what -fvisibility-inlines-hidden
does for shared objects on ELF and Mach-O. Since the function declaration comes with an inline definition, users of the library can use that definition directly instead of importing it from the DLL.
Note that the Microsoft Visual C++ compiler does not support this option, and if code in a DLL is compiled with /Zc:dllexportInlines-
, the code using the DLL must be compiled in the same way so that it doesnât attempt to dllimport the inline member functions. The reverse scenario should generally work though: a DLL compiled without this flag (such as a system library compiled with Visual C++) can be referenced from code compiled using the flag, meaning that the referencing code will use the inline definitions instead of importing them from the DLL.
Also note that like when using -fvisibility-inlines-hidden
, the address of S::foo() will be different inside and outside the DLL, breaking the C/C++ standard requirement that functions have a unique address.
The flag does not apply to explicit class template instantiation definitions or declarations, as those are typically used to explicitly provide a single definition in a DLL, (dllexported instantiation definition) or to signal that the definition is available elsewhere (dllimport instantiation declaration). It also doesnât apply to inline members with static local variables, to ensure that the same instance of the variable is used inside and outside the DLL.
Using this flag can cause problems when inline functions that would otherwise be dllexported refer to internal symbols of a DLL. For example:
void internal(); struct __declspec(dllimport) S { void foo() { internal(); } }
Normally, references to S::foo() would use the definition in the DLL from which it was exported, and which presumably also has the definition of internal(). However, when using /Zc:dllexportInlines-
, the inline definition of S::foo() is used directly, resulting in a link error since internal() is not available. Even worse, if there is an inline definition of internal() containing a static local variable, we will now refer to a different instance of that variable than in the DLL:
inline int internal() { static int x; return x++; } struct __declspec(dllimport) S { int foo() { return internal(); } }
This could lead to very subtle bugs. Using -fvisibility-inlines-hidden
can lead to the same issue. To avoid it in this case, make S::foo() or internal() non-inline, or mark them dllimport/dllexport explicitly.
clang-cl supports several features that require runtime library support:
Address Sanitizer (ASan): -fsanitize=address
Undefined Behavior Sanitizer (UBSan): -fsanitize=undefined
Code coverage: -fprofile-instr-generate -fcoverage-mapping
Profile Guided Optimization (PGO): -fprofile-instr-generate
Certain math operations (int128 division) require the builtins library
In order to use these features, the user must link the right runtime libraries into their program. These libraries are distributed alongside Clang in the library resource directory. Clang searches for the resource directory by searching relative to the Clang executable. For example, if LLVM is installed in C:\Program Files\LLVM
, then the profile runtime library will be located at the path C:\Program Files\LLVM\lib\clang\11.0.0\lib\windows\clang_rt.profile-x86_64.lib
.
For UBSan, PGO, and coverage, Clang will emit object files that auto-link the appropriate runtime library, but the user generally needs to help the linker (whether it is lld-link.exe
or MSVC link.exe
) find the library resource directory. Using the example installation above, this would mean passing /LIBPATH:C:\Program Files\LLVM\lib\clang\11.0.0\lib\windows
to the linker. If the user links the program with the clang
or clang-cl
drivers, the driver will pass this flag for them.
If the linker cannot find the appropriate library, it will emit an error like this:
$ clang-cl -c -fsanitize=undefined t.cpp $ lld-link t.obj -dll lld-link: error: could not open 'clang_rt.ubsan_standalone-x86_64.lib': no such file or directory lld-link: error: could not open 'clang_rt.ubsan_standalone_cxx-x86_64.lib': no such file or directory $ link t.obj -dll -nologo LINK : fatal error LNK1104: cannot open file 'clang_rt.ubsan_standalone-x86_64.lib'
To fix the error, add the appropriate /libpath:
flag to the link line.
For ASan, as of this writing, the user is also responsible for linking against the correct ASan libraries.
If the user is using the dynamic CRT (/MD
), then they should add clang_rt.asan_dynamic-x86_64.lib
to the link line as a regular input. For other architectures, replace x86_64 with the appropriate name here and below.
If the user is using the static CRT (/MT
), then different runtimes are used to produce DLLs and EXEs. To link a DLL, pass clang_rt.asan_dll_thunk-x86_64.lib
. To link an EXE, pass -wholearchive:clang_rt.asan-x86_64.lib
.
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