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llvm-mirror/lib/Analysis/TargetLibraryInfo.cpp

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//===-- TargetLibraryInfo.cpp - Runtime library information ----------------==//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file implements the TargetLibraryInfo class.
//
//===----------------------------------------------------------------------===//
#include "llvm/Analysis/TargetLibraryInfo.h"
#include "llvm/ADT/Triple.h"
#include "llvm/IR/Constants.h"
#include "llvm/Support/CommandLine.h"
using namespace llvm;
static cl::opt<TargetLibraryInfoImpl::VectorLibrary> ClVectorLibrary(
"vector-library", cl::Hidden, cl::desc("Vector functions library"),
cl::init(TargetLibraryInfoImpl::NoLibrary),
cl::values(clEnumValN(TargetLibraryInfoImpl::NoLibrary, "none",
"No vector functions library"),
clEnumValN(TargetLibraryInfoImpl::Accelerate, "Accelerate",
"Accelerate framework"),
clEnumValN(TargetLibraryInfoImpl::MASSV, "MASSV",
"IBM MASS vector library"),
clEnumValN(TargetLibraryInfoImpl::SVML, "SVML",
"Intel SVML library")));
StringRef const TargetLibraryInfoImpl::StandardNames[LibFunc::NumLibFuncs] = {
#define TLI_DEFINE_STRING
#include "llvm/Analysis/TargetLibraryInfo.def"
};
static bool hasSinCosPiStret(const Triple &T) {
// Only Darwin variants have _stret versions of combined trig functions.
if (!T.isOSDarwin())
return false;
// The ABI is rather complicated on x86, so don't do anything special there.
if (T.getArch() == Triple::x86)
return false;
if (T.isMacOSX() && T.isMacOSXVersionLT(10, 9))
return false;
if (T.isiOS() && T.isOSVersionLT(7, 0))
return false;
return true;
}
static bool hasBcmp(const Triple &TT) {
// Posix removed support from bcmp() in 2001, but the glibc and several
// implementations of the libc still have it.
if (TT.isOSLinux())
return TT.isGNUEnvironment() || TT.isMusl();
// Both NetBSD and OpenBSD are planning to remove the function. Windows does
// not have it.
return TT.isOSFreeBSD() || TT.isOSSolaris() || TT.isOSDarwin();
}
/// Initialize the set of available library functions based on the specified
/// target triple. This should be carefully written so that a missing target
/// triple gets a sane set of defaults.
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
static void initialize(TargetLibraryInfoImpl &TLI, const Triple &T,
ArrayRef<StringRef> StandardNames) {
// Verify that the StandardNames array is in alphabetical order.
assert(std::is_sorted(StandardNames.begin(), StandardNames.end(),
[](StringRef LHS, StringRef RHS) {
return LHS < RHS;
}) &&
"TargetLibraryInfoImpl function names must be sorted");
// Set IO unlocked variants as unavailable
// Set them as available per system below
TLI.setUnavailable(LibFunc_getchar_unlocked);
TLI.setUnavailable(LibFunc_putc_unlocked);
TLI.setUnavailable(LibFunc_putchar_unlocked);
TLI.setUnavailable(LibFunc_fputc_unlocked);
TLI.setUnavailable(LibFunc_fgetc_unlocked);
TLI.setUnavailable(LibFunc_fread_unlocked);
TLI.setUnavailable(LibFunc_fwrite_unlocked);
TLI.setUnavailable(LibFunc_fputs_unlocked);
TLI.setUnavailable(LibFunc_fgets_unlocked);
bool ShouldExtI32Param = false, ShouldExtI32Return = false,
ShouldSignExtI32Param = false;
// PowerPC64, Sparc64, SystemZ need signext/zeroext on i32 parameters and
// returns corresponding to C-level ints and unsigned ints.
2019-05-16 10:31:22 +02:00
if (T.isPPC64() || T.getArch() == Triple::sparcv9 ||
T.getArch() == Triple::systemz) {
ShouldExtI32Param = true;
ShouldExtI32Return = true;
}
// Mips, on the other hand, needs signext on i32 parameters corresponding
// to both signed and unsigned ints.
if (T.isMIPS()) {
ShouldSignExtI32Param = true;
}
TLI.setShouldExtI32Param(ShouldExtI32Param);
TLI.setShouldExtI32Return(ShouldExtI32Return);
TLI.setShouldSignExtI32Param(ShouldSignExtI32Param);
if (T.getArch() == Triple::r600 ||
T.getArch() == Triple::amdgcn) {
TLI.setUnavailable(LibFunc_ldexp);
TLI.setUnavailable(LibFunc_ldexpf);
TLI.setUnavailable(LibFunc_ldexpl);
TLI.setUnavailable(LibFunc_exp10);
TLI.setUnavailable(LibFunc_exp10f);
TLI.setUnavailable(LibFunc_exp10l);
TLI.setUnavailable(LibFunc_log10);
TLI.setUnavailable(LibFunc_log10f);
TLI.setUnavailable(LibFunc_log10l);
}
// There are no library implementations of mempcy and memset for AMD gpus and
// these can be difficult to lower in the backend.
if (T.getArch() == Triple::r600 ||
T.getArch() == Triple::amdgcn) {
TLI.setUnavailable(LibFunc_memcpy);
TLI.setUnavailable(LibFunc_memset);
TLI.setUnavailable(LibFunc_memset_pattern16);
return;
}
// memset_pattern16 is only available on iOS 3.0 and Mac OS X 10.5 and later.
// All versions of watchOS support it.
if (T.isMacOSX()) {
// available IO unlocked variants on Mac OS X
TLI.setAvailable(LibFunc_getc_unlocked);
TLI.setAvailable(LibFunc_getchar_unlocked);
TLI.setAvailable(LibFunc_putc_unlocked);
TLI.setAvailable(LibFunc_putchar_unlocked);
if (T.isMacOSXVersionLT(10, 5))
TLI.setUnavailable(LibFunc_memset_pattern16);
} else if (T.isiOS()) {
if (T.isOSVersionLT(3, 0))
TLI.setUnavailable(LibFunc_memset_pattern16);
} else if (!T.isWatchOS()) {
TLI.setUnavailable(LibFunc_memset_pattern16);
}
if (!hasSinCosPiStret(T)) {
TLI.setUnavailable(LibFunc_sinpi);
TLI.setUnavailable(LibFunc_sinpif);
TLI.setUnavailable(LibFunc_cospi);
TLI.setUnavailable(LibFunc_cospif);
TLI.setUnavailable(LibFunc_sincospi_stret);
TLI.setUnavailable(LibFunc_sincospif_stret);
}
if (!hasBcmp(T))
TLI.setUnavailable(LibFunc_bcmp);
if (T.isMacOSX() && T.getArch() == Triple::x86 &&
!T.isMacOSXVersionLT(10, 7)) {
// x86-32 OSX has a scheme where fwrite and fputs (and some other functions
// we don't care about) have two versions; on recent OSX, the one we want
// has a $UNIX2003 suffix. The two implementations are identical except
// for the return value in some edge cases. However, we don't want to
// generate code that depends on the old symbols.
TLI.setAvailableWithName(LibFunc_fwrite, "fwrite$UNIX2003");
TLI.setAvailableWithName(LibFunc_fputs, "fputs$UNIX2003");
}
// iprintf and friends are only available on XCore, TCE, and Emscripten.
if (T.getArch() != Triple::xcore && T.getArch() != Triple::tce &&
T.getOS() != Triple::Emscripten) {
TLI.setUnavailable(LibFunc_iprintf);
TLI.setUnavailable(LibFunc_siprintf);
TLI.setUnavailable(LibFunc_fiprintf);
}
// __small_printf and friends are only available on Emscripten.
if (T.getOS() != Triple::Emscripten) {
TLI.setUnavailable(LibFunc_small_printf);
TLI.setUnavailable(LibFunc_small_sprintf);
TLI.setUnavailable(LibFunc_small_fprintf);
}
if (T.isOSWindows() && !T.isOSCygMing()) {
// XXX: The earliest documentation available at the moment is for VS2015/VC19:
// https://docs.microsoft.com/en-us/cpp/c-runtime-library/floating-point-support?view=vs-2015
// XXX: In order to use an MSVCRT older than VC19,
// the specific library version must be explicit in the target triple,
// e.g., x86_64-pc-windows-msvc18.
bool hasPartialC99 = true;
if (T.isKnownWindowsMSVCEnvironment()) {
unsigned Major, Minor, Micro;
T.getEnvironmentVersion(Major, Minor, Micro);
hasPartialC99 = (Major == 0 || Major >= 19);
}
// Latest targets support C89 math functions, in part.
bool isARM = (T.getArch() == Triple::aarch64 ||
T.getArch() == Triple::arm);
bool hasPartialFloat = (isARM ||
T.getArch() == Triple::x86_64);
// Win32 does not support float C89 math functions, in general.
if (!hasPartialFloat) {
TLI.setUnavailable(LibFunc_acosf);
TLI.setUnavailable(LibFunc_asinf);
TLI.setUnavailable(LibFunc_atan2f);
TLI.setUnavailable(LibFunc_atanf);
TLI.setUnavailable(LibFunc_ceilf);
TLI.setUnavailable(LibFunc_cosf);
TLI.setUnavailable(LibFunc_coshf);
TLI.setUnavailable(LibFunc_expf);
TLI.setUnavailable(LibFunc_floorf);
TLI.setUnavailable(LibFunc_fmodf);
TLI.setUnavailable(LibFunc_log10f);
TLI.setUnavailable(LibFunc_logf);
TLI.setUnavailable(LibFunc_modff);
TLI.setUnavailable(LibFunc_powf);
TLI.setUnavailable(LibFunc_sinf);
TLI.setUnavailable(LibFunc_sinhf);
TLI.setUnavailable(LibFunc_sqrtf);
TLI.setUnavailable(LibFunc_tanf);
TLI.setUnavailable(LibFunc_tanhf);
}
if (!isARM)
TLI.setUnavailable(LibFunc_fabsf);
TLI.setUnavailable(LibFunc_frexpf);
TLI.setUnavailable(LibFunc_ldexpf);
// Win32 does not support long double C89 math functions.
TLI.setUnavailable(LibFunc_acosl);
TLI.setUnavailable(LibFunc_asinl);
TLI.setUnavailable(LibFunc_atan2l);
TLI.setUnavailable(LibFunc_atanl);
TLI.setUnavailable(LibFunc_ceill);
TLI.setUnavailable(LibFunc_cosl);
TLI.setUnavailable(LibFunc_coshl);
TLI.setUnavailable(LibFunc_expl);
TLI.setUnavailable(LibFunc_fabsl);
TLI.setUnavailable(LibFunc_floorl);
TLI.setUnavailable(LibFunc_fmodl);
TLI.setUnavailable(LibFunc_frexpl);
TLI.setUnavailable(LibFunc_ldexpl);
TLI.setUnavailable(LibFunc_log10l);
TLI.setUnavailable(LibFunc_logl);
TLI.setUnavailable(LibFunc_modfl);
TLI.setUnavailable(LibFunc_powl);
TLI.setUnavailable(LibFunc_sinl);
TLI.setUnavailable(LibFunc_sinhl);
TLI.setUnavailable(LibFunc_sqrtl);
TLI.setUnavailable(LibFunc_tanl);
TLI.setUnavailable(LibFunc_tanhl);
// Win32 does not fully support C99 math functions.
if (!hasPartialC99) {
TLI.setUnavailable(LibFunc_acosh);
TLI.setUnavailable(LibFunc_acoshf);
TLI.setUnavailable(LibFunc_asinh);
TLI.setUnavailable(LibFunc_asinhf);
TLI.setUnavailable(LibFunc_atanh);
TLI.setUnavailable(LibFunc_atanhf);
TLI.setAvailableWithName(LibFunc_cabs, "_cabs");
TLI.setUnavailable(LibFunc_cabsf);
TLI.setUnavailable(LibFunc_cbrt);
TLI.setUnavailable(LibFunc_cbrtf);
TLI.setAvailableWithName(LibFunc_copysign, "_copysign");
TLI.setAvailableWithName(LibFunc_copysignf, "_copysignf");
TLI.setUnavailable(LibFunc_exp2);
TLI.setUnavailable(LibFunc_exp2f);
TLI.setUnavailable(LibFunc_expm1);
TLI.setUnavailable(LibFunc_expm1f);
TLI.setUnavailable(LibFunc_fmax);
TLI.setUnavailable(LibFunc_fmaxf);
TLI.setUnavailable(LibFunc_fmin);
TLI.setUnavailable(LibFunc_fminf);
TLI.setUnavailable(LibFunc_log1p);
TLI.setUnavailable(LibFunc_log1pf);
TLI.setUnavailable(LibFunc_log2);
TLI.setUnavailable(LibFunc_log2f);
TLI.setAvailableWithName(LibFunc_logb, "_logb");
if (hasPartialFloat)
TLI.setAvailableWithName(LibFunc_logbf, "_logbf");
else
TLI.setUnavailable(LibFunc_logbf);
TLI.setUnavailable(LibFunc_rint);
TLI.setUnavailable(LibFunc_rintf);
TLI.setUnavailable(LibFunc_round);
TLI.setUnavailable(LibFunc_roundf);
TLI.setUnavailable(LibFunc_trunc);
TLI.setUnavailable(LibFunc_truncf);
}
// Win32 does not support long double C99 math functions.
TLI.setUnavailable(LibFunc_acoshl);
TLI.setUnavailable(LibFunc_asinhl);
TLI.setUnavailable(LibFunc_atanhl);
TLI.setUnavailable(LibFunc_cabsl);
TLI.setUnavailable(LibFunc_cbrtl);
TLI.setUnavailable(LibFunc_copysignl);
TLI.setUnavailable(LibFunc_exp2l);
TLI.setUnavailable(LibFunc_expm1l);
TLI.setUnavailable(LibFunc_fmaxl);
TLI.setUnavailable(LibFunc_fminl);
TLI.setUnavailable(LibFunc_log1pl);
TLI.setUnavailable(LibFunc_log2l);
TLI.setUnavailable(LibFunc_logbl);
TLI.setUnavailable(LibFunc_nearbyintl);
TLI.setUnavailable(LibFunc_rintl);
TLI.setUnavailable(LibFunc_roundl);
TLI.setUnavailable(LibFunc_truncl);
// Win32 does not support these functions, but
// they are generally available on POSIX-compliant systems.
TLI.setUnavailable(LibFunc_access);
TLI.setUnavailable(LibFunc_bcmp);
TLI.setUnavailable(LibFunc_bcopy);
TLI.setUnavailable(LibFunc_bzero);
TLI.setUnavailable(LibFunc_chmod);
TLI.setUnavailable(LibFunc_chown);
TLI.setUnavailable(LibFunc_closedir);
TLI.setUnavailable(LibFunc_ctermid);
TLI.setUnavailable(LibFunc_fdopen);
TLI.setUnavailable(LibFunc_ffs);
TLI.setUnavailable(LibFunc_fileno);
TLI.setUnavailable(LibFunc_flockfile);
TLI.setUnavailable(LibFunc_fseeko);
TLI.setUnavailable(LibFunc_fstat);
TLI.setUnavailable(LibFunc_fstatvfs);
TLI.setUnavailable(LibFunc_ftello);
TLI.setUnavailable(LibFunc_ftrylockfile);
TLI.setUnavailable(LibFunc_funlockfile);
TLI.setUnavailable(LibFunc_getitimer);
TLI.setUnavailable(LibFunc_getlogin_r);
TLI.setUnavailable(LibFunc_getpwnam);
TLI.setUnavailable(LibFunc_gettimeofday);
TLI.setUnavailable(LibFunc_htonl);
TLI.setUnavailable(LibFunc_htons);
TLI.setUnavailable(LibFunc_lchown);
TLI.setUnavailable(LibFunc_lstat);
TLI.setUnavailable(LibFunc_memccpy);
TLI.setUnavailable(LibFunc_mkdir);
TLI.setUnavailable(LibFunc_ntohl);
TLI.setUnavailable(LibFunc_ntohs);
TLI.setUnavailable(LibFunc_open);
TLI.setUnavailable(LibFunc_opendir);
TLI.setUnavailable(LibFunc_pclose);
TLI.setUnavailable(LibFunc_popen);
TLI.setUnavailable(LibFunc_pread);
TLI.setUnavailable(LibFunc_pwrite);
TLI.setUnavailable(LibFunc_read);
TLI.setUnavailable(LibFunc_readlink);
TLI.setUnavailable(LibFunc_realpath);
TLI.setUnavailable(LibFunc_rmdir);
TLI.setUnavailable(LibFunc_setitimer);
TLI.setUnavailable(LibFunc_stat);
TLI.setUnavailable(LibFunc_statvfs);
TLI.setUnavailable(LibFunc_stpcpy);
TLI.setUnavailable(LibFunc_stpncpy);
TLI.setUnavailable(LibFunc_strcasecmp);
TLI.setUnavailable(LibFunc_strncasecmp);
TLI.setUnavailable(LibFunc_times);
TLI.setUnavailable(LibFunc_uname);
TLI.setUnavailable(LibFunc_unlink);
TLI.setUnavailable(LibFunc_unsetenv);
TLI.setUnavailable(LibFunc_utime);
TLI.setUnavailable(LibFunc_utimes);
TLI.setUnavailable(LibFunc_write);
}
switch (T.getOS()) {
case Triple::MacOSX:
// exp10 and exp10f are not available on OS X until 10.9 and iOS until 7.0
// and their names are __exp10 and __exp10f. exp10l is not available on
// OS X or iOS.
TLI.setUnavailable(LibFunc_exp10l);
if (T.isMacOSXVersionLT(10, 9)) {
TLI.setUnavailable(LibFunc_exp10);
TLI.setUnavailable(LibFunc_exp10f);
} else {
TLI.setAvailableWithName(LibFunc_exp10, "__exp10");
TLI.setAvailableWithName(LibFunc_exp10f, "__exp10f");
}
break;
case Triple::IOS:
case Triple::TvOS:
case Triple::WatchOS:
TLI.setUnavailable(LibFunc_exp10l);
if (!T.isWatchOS() && (T.isOSVersionLT(7, 0) ||
(T.isOSVersionLT(9, 0) &&
(T.getArch() == Triple::x86 ||
T.getArch() == Triple::x86_64)))) {
TLI.setUnavailable(LibFunc_exp10);
TLI.setUnavailable(LibFunc_exp10f);
} else {
TLI.setAvailableWithName(LibFunc_exp10, "__exp10");
TLI.setAvailableWithName(LibFunc_exp10f, "__exp10f");
}
break;
case Triple::Linux:
// exp10, exp10f, exp10l is available on Linux (GLIBC) but are extremely
// buggy prior to glibc version 2.18. Until this version is widely deployed
// or we have a reasonable detection strategy, we cannot use exp10 reliably
// on Linux.
//
// Fall through to disable all of them.
LLVM_FALLTHROUGH;
default:
TLI.setUnavailable(LibFunc_exp10);
TLI.setUnavailable(LibFunc_exp10f);
TLI.setUnavailable(LibFunc_exp10l);
}
// ffsl is available on at least Darwin, Mac OS X, iOS, FreeBSD, and
// Linux (GLIBC):
// http://developer.apple.com/library/mac/#documentation/Darwin/Reference/ManPages/man3/ffsl.3.html
// http://svn.freebsd.org/base/head/lib/libc/string/ffsl.c
// http://www.gnu.org/software/gnulib/manual/html_node/ffsl.html
switch (T.getOS()) {
case Triple::Darwin:
case Triple::MacOSX:
case Triple::IOS:
case Triple::TvOS:
case Triple::WatchOS:
case Triple::FreeBSD:
case Triple::Linux:
break;
default:
TLI.setUnavailable(LibFunc_ffsl);
}
// ffsll is available on at least FreeBSD and Linux (GLIBC):
// http://svn.freebsd.org/base/head/lib/libc/string/ffsll.c
// http://www.gnu.org/software/gnulib/manual/html_node/ffsll.html
switch (T.getOS()) {
case Triple::Darwin:
case Triple::MacOSX:
case Triple::IOS:
case Triple::TvOS:
case Triple::WatchOS:
case Triple::FreeBSD:
case Triple::Linux:
break;
default:
TLI.setUnavailable(LibFunc_ffsll);
}
// The following functions are available on at least FreeBSD:
// http://svn.freebsd.org/base/head/lib/libc/string/fls.c
// http://svn.freebsd.org/base/head/lib/libc/string/flsl.c
// http://svn.freebsd.org/base/head/lib/libc/string/flsll.c
if (!T.isOSFreeBSD()) {
TLI.setUnavailable(LibFunc_fls);
TLI.setUnavailable(LibFunc_flsl);
TLI.setUnavailable(LibFunc_flsll);
}
// The following functions are only available on GNU/Linux (using glibc).
// Linux variants without glibc (eg: bionic, musl) may have some subset.
if (!T.isOSLinux() || !T.isGNUEnvironment()) {
TLI.setUnavailable(LibFunc_dunder_strdup);
TLI.setUnavailable(LibFunc_dunder_strtok_r);
TLI.setUnavailable(LibFunc_dunder_isoc99_scanf);
TLI.setUnavailable(LibFunc_dunder_isoc99_sscanf);
TLI.setUnavailable(LibFunc_under_IO_getc);
TLI.setUnavailable(LibFunc_under_IO_putc);
// But, Android and musl have memalign.
if (!T.isAndroid() && !T.isMusl())
TLI.setUnavailable(LibFunc_memalign);
TLI.setUnavailable(LibFunc_fopen64);
TLI.setUnavailable(LibFunc_fseeko64);
TLI.setUnavailable(LibFunc_fstat64);
TLI.setUnavailable(LibFunc_fstatvfs64);
TLI.setUnavailable(LibFunc_ftello64);
TLI.setUnavailable(LibFunc_lstat64);
TLI.setUnavailable(LibFunc_open64);
TLI.setUnavailable(LibFunc_stat64);
TLI.setUnavailable(LibFunc_statvfs64);
TLI.setUnavailable(LibFunc_tmpfile64);
// Relaxed math functions are included in math-finite.h on Linux (GLIBC).
TLI.setUnavailable(LibFunc_acos_finite);
TLI.setUnavailable(LibFunc_acosf_finite);
TLI.setUnavailable(LibFunc_acosl_finite);
TLI.setUnavailable(LibFunc_acosh_finite);
TLI.setUnavailable(LibFunc_acoshf_finite);
TLI.setUnavailable(LibFunc_acoshl_finite);
TLI.setUnavailable(LibFunc_asin_finite);
TLI.setUnavailable(LibFunc_asinf_finite);
TLI.setUnavailable(LibFunc_asinl_finite);
TLI.setUnavailable(LibFunc_atan2_finite);
TLI.setUnavailable(LibFunc_atan2f_finite);
TLI.setUnavailable(LibFunc_atan2l_finite);
TLI.setUnavailable(LibFunc_atanh_finite);
TLI.setUnavailable(LibFunc_atanhf_finite);
TLI.setUnavailable(LibFunc_atanhl_finite);
TLI.setUnavailable(LibFunc_cosh_finite);
TLI.setUnavailable(LibFunc_coshf_finite);
TLI.setUnavailable(LibFunc_coshl_finite);
TLI.setUnavailable(LibFunc_exp10_finite);
TLI.setUnavailable(LibFunc_exp10f_finite);
TLI.setUnavailable(LibFunc_exp10l_finite);
TLI.setUnavailable(LibFunc_exp2_finite);
TLI.setUnavailable(LibFunc_exp2f_finite);
TLI.setUnavailable(LibFunc_exp2l_finite);
TLI.setUnavailable(LibFunc_exp_finite);
TLI.setUnavailable(LibFunc_expf_finite);
TLI.setUnavailable(LibFunc_expl_finite);
TLI.setUnavailable(LibFunc_log10_finite);
TLI.setUnavailable(LibFunc_log10f_finite);
TLI.setUnavailable(LibFunc_log10l_finite);
TLI.setUnavailable(LibFunc_log2_finite);
TLI.setUnavailable(LibFunc_log2f_finite);
TLI.setUnavailable(LibFunc_log2l_finite);
TLI.setUnavailable(LibFunc_log_finite);
TLI.setUnavailable(LibFunc_logf_finite);
TLI.setUnavailable(LibFunc_logl_finite);
TLI.setUnavailable(LibFunc_pow_finite);
TLI.setUnavailable(LibFunc_powf_finite);
TLI.setUnavailable(LibFunc_powl_finite);
TLI.setUnavailable(LibFunc_sinh_finite);
TLI.setUnavailable(LibFunc_sinhf_finite);
TLI.setUnavailable(LibFunc_sinhl_finite);
}
if ((T.isOSLinux() && T.isGNUEnvironment()) ||
(T.isAndroid() && !T.isAndroidVersionLT(28))) {
// available IO unlocked variants on GNU/Linux and Android P or later
TLI.setAvailable(LibFunc_getc_unlocked);
TLI.setAvailable(LibFunc_getchar_unlocked);
TLI.setAvailable(LibFunc_putc_unlocked);
TLI.setAvailable(LibFunc_putchar_unlocked);
TLI.setAvailable(LibFunc_fputc_unlocked);
TLI.setAvailable(LibFunc_fgetc_unlocked);
TLI.setAvailable(LibFunc_fread_unlocked);
TLI.setAvailable(LibFunc_fwrite_unlocked);
TLI.setAvailable(LibFunc_fputs_unlocked);
TLI.setAvailable(LibFunc_fgets_unlocked);
}
// As currently implemented in clang, NVPTX code has no standard library to
// speak of. Headers provide a standard-ish library implementation, but many
// of the signatures are wrong -- for example, many libm functions are not
// extern "C".
//
// libdevice, an IR library provided by nvidia, is linked in by the front-end,
// but only used functions are provided to llvm. Moreover, most of the
// functions in libdevice don't map precisely to standard library functions.
//
// FIXME: Having no standard library prevents e.g. many fastmath
// optimizations, so this situation should be fixed.
if (T.isNVPTX()) {
TLI.disableAllFunctions();
TLI.setAvailable(LibFunc_nvvm_reflect);
} else {
TLI.setUnavailable(LibFunc_nvvm_reflect);
}
TLI.addVectorizableFunctionsFromVecLib(ClVectorLibrary);
}
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
TargetLibraryInfoImpl::TargetLibraryInfoImpl() {
// Default to everything being available.
memset(AvailableArray, -1, sizeof(AvailableArray));
initialize(*this, Triple(), StandardNames);
}
TargetLibraryInfoImpl::TargetLibraryInfoImpl(const Triple &T) {
// Default to everything being available.
memset(AvailableArray, -1, sizeof(AvailableArray));
initialize(*this, T, StandardNames);
}
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
TargetLibraryInfoImpl::TargetLibraryInfoImpl(const TargetLibraryInfoImpl &TLI)
: CustomNames(TLI.CustomNames), ShouldExtI32Param(TLI.ShouldExtI32Param),
ShouldExtI32Return(TLI.ShouldExtI32Return),
ShouldSignExtI32Param(TLI.ShouldSignExtI32Param) {
memcpy(AvailableArray, TLI.AvailableArray, sizeof(AvailableArray));
VectorDescs = TLI.VectorDescs;
ScalarDescs = TLI.ScalarDescs;
}
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
TargetLibraryInfoImpl::TargetLibraryInfoImpl(TargetLibraryInfoImpl &&TLI)
: CustomNames(std::move(TLI.CustomNames)),
ShouldExtI32Param(TLI.ShouldExtI32Param),
ShouldExtI32Return(TLI.ShouldExtI32Return),
ShouldSignExtI32Param(TLI.ShouldSignExtI32Param) {
std::move(std::begin(TLI.AvailableArray), std::end(TLI.AvailableArray),
AvailableArray);
VectorDescs = TLI.VectorDescs;
ScalarDescs = TLI.ScalarDescs;
}
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
TargetLibraryInfoImpl &TargetLibraryInfoImpl::operator=(const TargetLibraryInfoImpl &TLI) {
CustomNames = TLI.CustomNames;
ShouldExtI32Param = TLI.ShouldExtI32Param;
ShouldExtI32Return = TLI.ShouldExtI32Return;
ShouldSignExtI32Param = TLI.ShouldSignExtI32Param;
memcpy(AvailableArray, TLI.AvailableArray, sizeof(AvailableArray));
return *this;
}
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
TargetLibraryInfoImpl &TargetLibraryInfoImpl::operator=(TargetLibraryInfoImpl &&TLI) {
CustomNames = std::move(TLI.CustomNames);
ShouldExtI32Param = TLI.ShouldExtI32Param;
ShouldExtI32Return = TLI.ShouldExtI32Return;
ShouldSignExtI32Param = TLI.ShouldSignExtI32Param;
std::move(std::begin(TLI.AvailableArray), std::end(TLI.AvailableArray),
AvailableArray);
return *this;
}
static StringRef sanitizeFunctionName(StringRef funcName) {
// Filter out empty names and names containing null bytes, those can't be in
// our table.
if (funcName.empty() || funcName.find('\0') != StringRef::npos)
return StringRef();
// Check for \01 prefix that is used to mangle __asm declarations and
// strip it if present.
return GlobalValue::dropLLVMManglingEscape(funcName);
}
bool TargetLibraryInfoImpl::getLibFunc(StringRef funcName,
LibFunc &F) const {
StringRef const *Start = &StandardNames[0];
StringRef const *End = &StandardNames[NumLibFuncs];
funcName = sanitizeFunctionName(funcName);
if (funcName.empty())
return false;
StringRef const *I = std::lower_bound(
Start, End, funcName, [](StringRef LHS, StringRef RHS) {
return LHS < RHS;
2015-03-02 21:50:08 +01:00
});
if (I != End && *I == funcName) {
F = (LibFunc)(I - Start);
return true;
}
return false;
}
bool TargetLibraryInfoImpl::isValidProtoForLibFunc(const FunctionType &FTy,
LibFunc F,
const DataLayout *DL) const {
LLVMContext &Ctx = FTy.getContext();
Type *PCharTy = Type::getInt8PtrTy(Ctx);
Type *SizeTTy = DL ? DL->getIntPtrType(Ctx, /*AS=*/0) : nullptr;
auto IsSizeTTy = [SizeTTy](Type *Ty) {
return SizeTTy ? Ty == SizeTTy : Ty->isIntegerTy();
};
unsigned NumParams = FTy.getNumParams();
switch (F) {
case LibFunc_execl:
case LibFunc_execlp:
case LibFunc_execle:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy(32));
case LibFunc_execv:
case LibFunc_execvp:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy(32));
case LibFunc_execvP:
case LibFunc_execvpe:
case LibFunc_execve:
return (NumParams == 3 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy() &&
FTy.getParamType(2)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy(32));
case LibFunc_strlen:
return (NumParams == 1 && FTy.getParamType(0)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy());
case LibFunc_strchr:
case LibFunc_strrchr:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0) == FTy.getReturnType() &&
FTy.getParamType(1)->isIntegerTy());
case LibFunc_strtol:
case LibFunc_strtod:
case LibFunc_strtof:
case LibFunc_strtoul:
case LibFunc_strtoll:
case LibFunc_strtold:
case LibFunc_strtoull:
return ((NumParams == 2 || NumParams == 3) &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_strcat_chk:
--NumParams;
if (!IsSizeTTy(FTy.getParamType(NumParams)))
return false;
LLVM_FALLTHROUGH;
case LibFunc_strcat:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0) == FTy.getReturnType() &&
FTy.getParamType(1) == FTy.getReturnType());
case LibFunc_strncat_chk:
--NumParams;
if (!IsSizeTTy(FTy.getParamType(NumParams)))
return false;
LLVM_FALLTHROUGH;
case LibFunc_strncat:
return (NumParams == 3 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0) == FTy.getReturnType() &&
FTy.getParamType(1) == FTy.getReturnType() &&
IsSizeTTy(FTy.getParamType(2)));
case LibFunc_strcpy_chk:
case LibFunc_stpcpy_chk:
--NumParams;
if (!IsSizeTTy(FTy.getParamType(NumParams)))
return false;
LLVM_FALLTHROUGH;
case LibFunc_strcpy:
case LibFunc_stpcpy:
return (NumParams == 2 && FTy.getReturnType() == FTy.getParamType(0) &&
FTy.getParamType(0) == FTy.getParamType(1) &&
FTy.getParamType(0) == PCharTy);
case LibFunc_strlcat_chk:
case LibFunc_strlcpy_chk:
--NumParams;
if (!IsSizeTTy(FTy.getParamType(NumParams)))
return false;
LLVM_FALLTHROUGH;
case LibFunc_strlcat:
case LibFunc_strlcpy:
return NumParams == 3 && IsSizeTTy(FTy.getReturnType()) &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy() &&
IsSizeTTy(FTy.getParamType(2));
case LibFunc_strncpy_chk:
case LibFunc_stpncpy_chk:
--NumParams;
if (!IsSizeTTy(FTy.getParamType(NumParams)))
return false;
LLVM_FALLTHROUGH;
case LibFunc_strncpy:
case LibFunc_stpncpy:
return (NumParams == 3 && FTy.getReturnType() == FTy.getParamType(0) &&
FTy.getParamType(0) == FTy.getParamType(1) &&
FTy.getParamType(0) == PCharTy &&
IsSizeTTy(FTy.getParamType(2)));
case LibFunc_strxfrm:
return (NumParams == 3 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_strcmp:
return (NumParams == 2 && FTy.getReturnType()->isIntegerTy(32) &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(0) == FTy.getParamType(1));
case LibFunc_strncmp:
return (NumParams == 3 && FTy.getReturnType()->isIntegerTy(32) &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(0) == FTy.getParamType(1) &&
IsSizeTTy(FTy.getParamType(2)));
case LibFunc_strspn:
case LibFunc_strcspn:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(0) == FTy.getParamType(1) &&
FTy.getReturnType()->isIntegerTy());
case LibFunc_strcoll:
case LibFunc_strcasecmp:
case LibFunc_strncasecmp:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_strstr:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_strpbrk:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getReturnType() == FTy.getParamType(0) &&
FTy.getParamType(0) == FTy.getParamType(1));
case LibFunc_strtok:
case LibFunc_strtok_r:
return (NumParams >= 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_scanf:
case LibFunc_setbuf:
case LibFunc_setvbuf:
return (NumParams >= 1 && FTy.getParamType(0)->isPointerTy());
case LibFunc_strdup:
case LibFunc_strndup:
return (NumParams >= 1 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0)->isPointerTy());
case LibFunc_sscanf:
case LibFunc_stat:
case LibFunc_statvfs:
case LibFunc_siprintf:
case LibFunc_small_sprintf:
case LibFunc_sprintf:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy(32));
case LibFunc_sprintf_chk:
return NumParams == 4 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isIntegerTy(32) &&
IsSizeTTy(FTy.getParamType(2)) &&
FTy.getParamType(3)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy(32);
case LibFunc_snprintf:
return (NumParams == 3 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(2)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy(32));
case LibFunc_snprintf_chk:
return NumParams == 5 && FTy.getParamType(0)->isPointerTy() &&
IsSizeTTy(FTy.getParamType(1)) &&
FTy.getParamType(2)->isIntegerTy(32) &&
IsSizeTTy(FTy.getParamType(3)) &&
FTy.getParamType(4)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy(32);
case LibFunc_setitimer:
return (NumParams == 3 && FTy.getParamType(1)->isPointerTy() &&
FTy.getParamType(2)->isPointerTy());
case LibFunc_system:
return (NumParams == 1 && FTy.getParamType(0)->isPointerTy());
case LibFunc_malloc:
return (NumParams == 1 && FTy.getReturnType()->isPointerTy());
case LibFunc_memcmp:
return (NumParams == 3 && FTy.getReturnType()->isIntegerTy(32) &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_memchr:
case LibFunc_memrchr:
return (NumParams == 3 && FTy.getReturnType()->isPointerTy() &&
FTy.getReturnType() == FTy.getParamType(0) &&
FTy.getParamType(1)->isIntegerTy(32) &&
IsSizeTTy(FTy.getParamType(2)));
case LibFunc_modf:
case LibFunc_modff:
case LibFunc_modfl:
return (NumParams >= 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_memcpy_chk:
case LibFunc_memmove_chk:
--NumParams;
if (!IsSizeTTy(FTy.getParamType(NumParams)))
return false;
LLVM_FALLTHROUGH;
case LibFunc_memcpy:
case LibFunc_mempcpy:
case LibFunc_memmove:
return (NumParams == 3 && FTy.getReturnType() == FTy.getParamType(0) &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy() &&
IsSizeTTy(FTy.getParamType(2)));
case LibFunc_memset_chk:
--NumParams;
if (!IsSizeTTy(FTy.getParamType(NumParams)))
return false;
LLVM_FALLTHROUGH;
case LibFunc_memset:
return (NumParams == 3 && FTy.getReturnType() == FTy.getParamType(0) &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isIntegerTy() &&
IsSizeTTy(FTy.getParamType(2)));
case LibFunc_memccpy_chk:
--NumParams;
if (!IsSizeTTy(FTy.getParamType(NumParams)))
return false;
LLVM_FALLTHROUGH;
case LibFunc_memccpy:
return (NumParams >= 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_memalign:
return (FTy.getReturnType()->isPointerTy());
case LibFunc_realloc:
case LibFunc_reallocf:
return (NumParams == 2 && FTy.getReturnType() == PCharTy &&
FTy.getParamType(0) == FTy.getReturnType() &&
IsSizeTTy(FTy.getParamType(1)));
case LibFunc_read:
return (NumParams == 3 && FTy.getParamType(1)->isPointerTy());
case LibFunc_rewind:
case LibFunc_rmdir:
case LibFunc_remove:
case LibFunc_realpath:
return (NumParams >= 1 && FTy.getParamType(0)->isPointerTy());
case LibFunc_rename:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_readlink:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_write:
return (NumParams == 3 && FTy.getParamType(1)->isPointerTy());
case LibFunc_bcopy:
case LibFunc_bcmp:
return (NumParams == 3 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_bzero:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy());
case LibFunc_calloc:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy());
case LibFunc_atof:
case LibFunc_atoi:
case LibFunc_atol:
case LibFunc_atoll:
case LibFunc_ferror:
case LibFunc_getenv:
case LibFunc_getpwnam:
case LibFunc_iprintf:
case LibFunc_small_printf:
case LibFunc_pclose:
case LibFunc_perror:
case LibFunc_printf:
case LibFunc_puts:
case LibFunc_uname:
case LibFunc_under_IO_getc:
case LibFunc_unlink:
case LibFunc_unsetenv:
return (NumParams == 1 && FTy.getParamType(0)->isPointerTy());
case LibFunc_access:
case LibFunc_chmod:
case LibFunc_chown:
case LibFunc_clearerr:
case LibFunc_closedir:
case LibFunc_ctermid:
case LibFunc_fclose:
case LibFunc_feof:
case LibFunc_fflush:
case LibFunc_fgetc:
case LibFunc_fgetc_unlocked:
case LibFunc_fileno:
case LibFunc_flockfile:
case LibFunc_free:
case LibFunc_fseek:
case LibFunc_fseeko64:
case LibFunc_fseeko:
case LibFunc_fsetpos:
case LibFunc_ftell:
case LibFunc_ftello64:
case LibFunc_ftello:
case LibFunc_ftrylockfile:
case LibFunc_funlockfile:
case LibFunc_getc:
case LibFunc_getc_unlocked:
case LibFunc_getlogin_r:
case LibFunc_mkdir:
case LibFunc_mktime:
case LibFunc_times:
return (NumParams != 0 && FTy.getParamType(0)->isPointerTy());
case LibFunc_fopen:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_fork:
return (NumParams == 0 && FTy.getReturnType()->isIntegerTy(32));
case LibFunc_fdopen:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_fputc:
case LibFunc_fputc_unlocked:
case LibFunc_fstat:
case LibFunc_frexp:
case LibFunc_frexpf:
case LibFunc_frexpl:
case LibFunc_fstatvfs:
return (NumParams == 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_fgets:
case LibFunc_fgets_unlocked:
return (NumParams == 3 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(2)->isPointerTy());
case LibFunc_fread:
case LibFunc_fread_unlocked:
return (NumParams == 4 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(3)->isPointerTy());
case LibFunc_fwrite:
case LibFunc_fwrite_unlocked:
return (NumParams == 4 && FTy.getReturnType()->isIntegerTy() &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isIntegerTy() &&
FTy.getParamType(2)->isIntegerTy() &&
FTy.getParamType(3)->isPointerTy());
case LibFunc_fputs:
case LibFunc_fputs_unlocked:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_fscanf:
case LibFunc_fiprintf:
case LibFunc_small_fprintf:
case LibFunc_fprintf:
return (NumParams >= 2 && FTy.getReturnType()->isIntegerTy() &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_fgetpos:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_getchar:
case LibFunc_getchar_unlocked:
return (NumParams == 0 && FTy.getReturnType()->isIntegerTy());
case LibFunc_gets:
return (NumParams == 1 && FTy.getParamType(0) == PCharTy);
case LibFunc_getitimer:
return (NumParams == 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_ungetc:
return (NumParams == 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_utime:
case LibFunc_utimes:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_putc:
case LibFunc_putc_unlocked:
return (NumParams == 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_pread:
case LibFunc_pwrite:
return (NumParams == 4 && FTy.getParamType(1)->isPointerTy());
case LibFunc_popen:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_vscanf:
return (NumParams == 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_vsscanf:
return (NumParams == 3 && FTy.getParamType(1)->isPointerTy() &&
FTy.getParamType(2)->isPointerTy());
case LibFunc_vfscanf:
return (NumParams == 3 && FTy.getParamType(1)->isPointerTy() &&
FTy.getParamType(2)->isPointerTy());
case LibFunc_valloc:
return (FTy.getReturnType()->isPointerTy());
case LibFunc_vprintf:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy());
case LibFunc_vfprintf:
case LibFunc_vsprintf:
return (NumParams == 3 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_vsprintf_chk:
return NumParams == 5 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isIntegerTy(32) &&
IsSizeTTy(FTy.getParamType(2)) && FTy.getParamType(3)->isPointerTy();
case LibFunc_vsnprintf:
return (NumParams == 4 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(2)->isPointerTy());
case LibFunc_vsnprintf_chk:
return NumParams == 6 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(2)->isIntegerTy(32) &&
IsSizeTTy(FTy.getParamType(3)) && FTy.getParamType(4)->isPointerTy();
case LibFunc_open:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy());
case LibFunc_opendir:
return (NumParams == 1 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0)->isPointerTy());
case LibFunc_tmpfile:
return (FTy.getReturnType()->isPointerTy());
case LibFunc_htonl:
case LibFunc_ntohl:
return (NumParams == 1 && FTy.getReturnType()->isIntegerTy(32) &&
FTy.getReturnType() == FTy.getParamType(0));
case LibFunc_htons:
case LibFunc_ntohs:
return (NumParams == 1 && FTy.getReturnType()->isIntegerTy(16) &&
FTy.getReturnType() == FTy.getParamType(0));
case LibFunc_lstat:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_lchown:
return (NumParams == 3 && FTy.getParamType(0)->isPointerTy());
case LibFunc_qsort:
return (NumParams == 4 && FTy.getParamType(3)->isPointerTy());
case LibFunc_dunder_strdup:
case LibFunc_dunder_strndup:
return (NumParams >= 1 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0)->isPointerTy());
case LibFunc_dunder_strtok_r:
return (NumParams == 3 && FTy.getParamType(1)->isPointerTy());
case LibFunc_under_IO_putc:
return (NumParams == 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_dunder_isoc99_scanf:
return (NumParams >= 1 && FTy.getParamType(0)->isPointerTy());
case LibFunc_stat64:
case LibFunc_lstat64:
case LibFunc_statvfs64:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_dunder_isoc99_sscanf:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_fopen64:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy() &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
case LibFunc_tmpfile64:
return (FTy.getReturnType()->isPointerTy());
case LibFunc_fstat64:
case LibFunc_fstatvfs64:
return (NumParams == 2 && FTy.getParamType(1)->isPointerTy());
case LibFunc_open64:
return (NumParams >= 2 && FTy.getParamType(0)->isPointerTy());
case LibFunc_gettimeofday:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy());
// new(unsigned int);
case LibFunc_Znwj:
// new(unsigned long);
case LibFunc_Znwm:
// new[](unsigned int);
case LibFunc_Znaj:
// new[](unsigned long);
case LibFunc_Znam:
// new(unsigned int);
case LibFunc_msvc_new_int:
// new(unsigned long long);
case LibFunc_msvc_new_longlong:
// new[](unsigned int);
case LibFunc_msvc_new_array_int:
// new[](unsigned long long);
case LibFunc_msvc_new_array_longlong:
return (NumParams == 1 && FTy.getReturnType()->isPointerTy());
// new(unsigned int, nothrow);
case LibFunc_ZnwjRKSt9nothrow_t:
// new(unsigned long, nothrow);
case LibFunc_ZnwmRKSt9nothrow_t:
// new[](unsigned int, nothrow);
case LibFunc_ZnajRKSt9nothrow_t:
// new[](unsigned long, nothrow);
case LibFunc_ZnamRKSt9nothrow_t:
// new(unsigned int, nothrow);
case LibFunc_msvc_new_int_nothrow:
// new(unsigned long long, nothrow);
case LibFunc_msvc_new_longlong_nothrow:
// new[](unsigned int, nothrow);
case LibFunc_msvc_new_array_int_nothrow:
// new[](unsigned long long, nothrow);
case LibFunc_msvc_new_array_longlong_nothrow:
// new(unsigned int, align_val_t)
case LibFunc_ZnwjSt11align_val_t:
// new(unsigned long, align_val_t)
case LibFunc_ZnwmSt11align_val_t:
// new[](unsigned int, align_val_t)
case LibFunc_ZnajSt11align_val_t:
// new[](unsigned long, align_val_t)
case LibFunc_ZnamSt11align_val_t:
return (NumParams == 2 && FTy.getReturnType()->isPointerTy());
// new(unsigned int, align_val_t, nothrow)
case LibFunc_ZnwjSt11align_val_tRKSt9nothrow_t:
// new(unsigned long, align_val_t, nothrow)
case LibFunc_ZnwmSt11align_val_tRKSt9nothrow_t:
// new[](unsigned int, align_val_t, nothrow)
case LibFunc_ZnajSt11align_val_tRKSt9nothrow_t:
// new[](unsigned long, align_val_t, nothrow)
case LibFunc_ZnamSt11align_val_tRKSt9nothrow_t:
return (NumParams == 3 && FTy.getReturnType()->isPointerTy());
// void operator delete[](void*);
case LibFunc_ZdaPv:
// void operator delete(void*);
case LibFunc_ZdlPv:
// void operator delete[](void*);
case LibFunc_msvc_delete_array_ptr32:
// void operator delete[](void*);
case LibFunc_msvc_delete_array_ptr64:
// void operator delete(void*);
case LibFunc_msvc_delete_ptr32:
// void operator delete(void*);
case LibFunc_msvc_delete_ptr64:
return (NumParams == 1 && FTy.getParamType(0)->isPointerTy());
// void operator delete[](void*, nothrow);
case LibFunc_ZdaPvRKSt9nothrow_t:
// void operator delete[](void*, unsigned int);
case LibFunc_ZdaPvj:
// void operator delete[](void*, unsigned long);
case LibFunc_ZdaPvm:
// void operator delete(void*, nothrow);
case LibFunc_ZdlPvRKSt9nothrow_t:
// void operator delete(void*, unsigned int);
case LibFunc_ZdlPvj:
// void operator delete(void*, unsigned long);
case LibFunc_ZdlPvm:
// void operator delete(void*, align_val_t)
case LibFunc_ZdlPvSt11align_val_t:
// void operator delete[](void*, align_val_t)
case LibFunc_ZdaPvSt11align_val_t:
// void operator delete[](void*, unsigned int);
case LibFunc_msvc_delete_array_ptr32_int:
// void operator delete[](void*, nothrow);
case LibFunc_msvc_delete_array_ptr32_nothrow:
// void operator delete[](void*, unsigned long long);
case LibFunc_msvc_delete_array_ptr64_longlong:
// void operator delete[](void*, nothrow);
case LibFunc_msvc_delete_array_ptr64_nothrow:
// void operator delete(void*, unsigned int);
case LibFunc_msvc_delete_ptr32_int:
// void operator delete(void*, nothrow);
case LibFunc_msvc_delete_ptr32_nothrow:
// void operator delete(void*, unsigned long long);
case LibFunc_msvc_delete_ptr64_longlong:
// void operator delete(void*, nothrow);
case LibFunc_msvc_delete_ptr64_nothrow:
return (NumParams == 2 && FTy.getParamType(0)->isPointerTy());
// void operator delete(void*, align_val_t, nothrow)
case LibFunc_ZdlPvSt11align_val_tRKSt9nothrow_t:
// void operator delete[](void*, align_val_t, nothrow)
case LibFunc_ZdaPvSt11align_val_tRKSt9nothrow_t:
return (NumParams == 3 && FTy.getParamType(0)->isPointerTy());
case LibFunc_memset_pattern16:
return (!FTy.isVarArg() && NumParams == 3 &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy() &&
FTy.getParamType(2)->isIntegerTy());
case LibFunc_cxa_guard_abort:
case LibFunc_cxa_guard_acquire:
case LibFunc_cxa_guard_release:
case LibFunc_nvvm_reflect:
return (NumParams == 1 && FTy.getParamType(0)->isPointerTy());
case LibFunc_sincospi_stret:
case LibFunc_sincospif_stret:
return (NumParams == 1 && FTy.getParamType(0)->isFloatingPointTy());
case LibFunc_acos:
case LibFunc_acos_finite:
case LibFunc_acosf:
case LibFunc_acosf_finite:
case LibFunc_acosh:
case LibFunc_acosh_finite:
case LibFunc_acoshf:
case LibFunc_acoshf_finite:
case LibFunc_acoshl:
case LibFunc_acoshl_finite:
case LibFunc_acosl:
case LibFunc_acosl_finite:
case LibFunc_asin:
case LibFunc_asin_finite:
case LibFunc_asinf:
case LibFunc_asinf_finite:
case LibFunc_asinh:
case LibFunc_asinhf:
case LibFunc_asinhl:
case LibFunc_asinl:
case LibFunc_asinl_finite:
case LibFunc_atan:
case LibFunc_atanf:
case LibFunc_atanh:
case LibFunc_atanh_finite:
case LibFunc_atanhf:
case LibFunc_atanhf_finite:
case LibFunc_atanhl:
case LibFunc_atanhl_finite:
case LibFunc_atanl:
case LibFunc_cbrt:
case LibFunc_cbrtf:
case LibFunc_cbrtl:
case LibFunc_ceil:
case LibFunc_ceilf:
case LibFunc_ceill:
case LibFunc_cos:
case LibFunc_cosf:
case LibFunc_cosh:
case LibFunc_cosh_finite:
case LibFunc_coshf:
case LibFunc_coshf_finite:
case LibFunc_coshl:
case LibFunc_coshl_finite:
case LibFunc_cosl:
case LibFunc_exp10:
case LibFunc_exp10_finite:
case LibFunc_exp10f:
case LibFunc_exp10f_finite:
case LibFunc_exp10l:
case LibFunc_exp10l_finite:
case LibFunc_exp2:
case LibFunc_exp2_finite:
case LibFunc_exp2f:
case LibFunc_exp2f_finite:
case LibFunc_exp2l:
case LibFunc_exp2l_finite:
case LibFunc_exp:
case LibFunc_exp_finite:
case LibFunc_expf:
case LibFunc_expf_finite:
case LibFunc_expl:
case LibFunc_expl_finite:
case LibFunc_expm1:
case LibFunc_expm1f:
case LibFunc_expm1l:
case LibFunc_fabs:
case LibFunc_fabsf:
case LibFunc_fabsl:
case LibFunc_floor:
case LibFunc_floorf:
case LibFunc_floorl:
case LibFunc_log10:
case LibFunc_log10_finite:
case LibFunc_log10f:
case LibFunc_log10f_finite:
case LibFunc_log10l:
case LibFunc_log10l_finite:
case LibFunc_log1p:
case LibFunc_log1pf:
case LibFunc_log1pl:
case LibFunc_log2:
case LibFunc_log2_finite:
case LibFunc_log2f:
case LibFunc_log2f_finite:
case LibFunc_log2l:
case LibFunc_log2l_finite:
case LibFunc_log:
case LibFunc_log_finite:
case LibFunc_logb:
case LibFunc_logbf:
case LibFunc_logbl:
case LibFunc_logf:
case LibFunc_logf_finite:
case LibFunc_logl:
case LibFunc_logl_finite:
case LibFunc_nearbyint:
case LibFunc_nearbyintf:
case LibFunc_nearbyintl:
case LibFunc_rint:
case LibFunc_rintf:
case LibFunc_rintl:
case LibFunc_round:
case LibFunc_roundf:
case LibFunc_roundl:
case LibFunc_sin:
case LibFunc_sinf:
case LibFunc_sinh:
case LibFunc_sinh_finite:
case LibFunc_sinhf:
case LibFunc_sinhf_finite:
case LibFunc_sinhl:
case LibFunc_sinhl_finite:
case LibFunc_sinl:
case LibFunc_sqrt:
case LibFunc_sqrt_finite:
case LibFunc_sqrtf:
case LibFunc_sqrtf_finite:
case LibFunc_sqrtl:
case LibFunc_sqrtl_finite:
case LibFunc_tan:
case LibFunc_tanf:
case LibFunc_tanh:
case LibFunc_tanhf:
case LibFunc_tanhl:
case LibFunc_tanl:
case LibFunc_trunc:
case LibFunc_truncf:
case LibFunc_truncl:
return (NumParams == 1 && FTy.getReturnType()->isFloatingPointTy() &&
FTy.getReturnType() == FTy.getParamType(0));
case LibFunc_atan2:
case LibFunc_atan2_finite:
case LibFunc_atan2f:
case LibFunc_atan2f_finite:
case LibFunc_atan2l:
case LibFunc_atan2l_finite:
case LibFunc_fmin:
case LibFunc_fminf:
case LibFunc_fminl:
case LibFunc_fmax:
case LibFunc_fmaxf:
case LibFunc_fmaxl:
case LibFunc_fmod:
case LibFunc_fmodf:
case LibFunc_fmodl:
case LibFunc_copysign:
case LibFunc_copysignf:
case LibFunc_copysignl:
case LibFunc_pow:
case LibFunc_pow_finite:
case LibFunc_powf:
case LibFunc_powf_finite:
case LibFunc_powl:
case LibFunc_powl_finite:
return (NumParams == 2 && FTy.getReturnType()->isFloatingPointTy() &&
FTy.getReturnType() == FTy.getParamType(0) &&
FTy.getReturnType() == FTy.getParamType(1));
case LibFunc_ldexp:
case LibFunc_ldexpf:
case LibFunc_ldexpl:
return (NumParams == 2 && FTy.getReturnType()->isFloatingPointTy() &&
FTy.getReturnType() == FTy.getParamType(0) &&
FTy.getParamType(1)->isIntegerTy(32));
case LibFunc_ffs:
case LibFunc_ffsl:
case LibFunc_ffsll:
case LibFunc_fls:
case LibFunc_flsl:
case LibFunc_flsll:
return (NumParams == 1 && FTy.getReturnType()->isIntegerTy(32) &&
FTy.getParamType(0)->isIntegerTy());
case LibFunc_isdigit:
case LibFunc_isascii:
case LibFunc_toascii:
case LibFunc_putchar:
case LibFunc_putchar_unlocked:
return (NumParams == 1 && FTy.getReturnType()->isIntegerTy(32) &&
FTy.getReturnType() == FTy.getParamType(0));
case LibFunc_abs:
case LibFunc_labs:
case LibFunc_llabs:
return (NumParams == 1 && FTy.getReturnType()->isIntegerTy() &&
FTy.getReturnType() == FTy.getParamType(0));
case LibFunc_cxa_atexit:
return (NumParams == 3 && FTy.getReturnType()->isIntegerTy() &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1)->isPointerTy() &&
FTy.getParamType(2)->isPointerTy());
case LibFunc_sinpi:
case LibFunc_cospi:
return (NumParams == 1 && FTy.getReturnType()->isDoubleTy() &&
FTy.getReturnType() == FTy.getParamType(0));
case LibFunc_sinpif:
case LibFunc_cospif:
return (NumParams == 1 && FTy.getReturnType()->isFloatTy() &&
FTy.getReturnType() == FTy.getParamType(0));
case LibFunc_strnlen:
return (NumParams == 2 && FTy.getReturnType() == FTy.getParamType(1) &&
FTy.getParamType(0) == PCharTy &&
FTy.getParamType(1) == SizeTTy);
case LibFunc_posix_memalign:
return (NumParams == 3 && FTy.getReturnType()->isIntegerTy(32) &&
FTy.getParamType(0)->isPointerTy() &&
FTy.getParamType(1) == SizeTTy && FTy.getParamType(2) == SizeTTy);
case LibFunc_wcslen:
return (NumParams == 1 && FTy.getParamType(0)->isPointerTy() &&
FTy.getReturnType()->isIntegerTy());
case LibFunc_cabs:
case LibFunc_cabsf:
case LibFunc_cabsl: {
Type* RetTy = FTy.getReturnType();
if (!RetTy->isFloatingPointTy())
return false;
// NOTE: These prototypes are target specific and currently support
// "complex" passed as an array or discrete real & imaginary parameters.
// Add other calling conventions to enable libcall optimizations.
if (NumParams == 1)
return (FTy.getParamType(0)->isArrayTy() &&
FTy.getParamType(0)->getArrayNumElements() == 2 &&
FTy.getParamType(0)->getArrayElementType() == RetTy);
else if (NumParams == 2)
return (FTy.getParamType(0) == RetTy && FTy.getParamType(1) == RetTy);
else
return false;
}
case LibFunc::NumLibFuncs:
break;
}
llvm_unreachable("Invalid libfunc");
}
bool TargetLibraryInfoImpl::getLibFunc(const Function &FDecl,
LibFunc &F) const {
// Intrinsics don't overlap w/libcalls; if our module has a large number of
// intrinsics, this ends up being an interesting compile time win since we
// avoid string normalization and comparison.
if (FDecl.isIntrinsic()) return false;
const DataLayout *DL =
FDecl.getParent() ? &FDecl.getParent()->getDataLayout() : nullptr;
return getLibFunc(FDecl.getName(), F) &&
isValidProtoForLibFunc(*FDecl.getFunctionType(), F, DL);
}
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
void TargetLibraryInfoImpl::disableAllFunctions() {
memset(AvailableArray, 0, sizeof(AvailableArray));
}
static bool compareByScalarFnName(const VecDesc &LHS, const VecDesc &RHS) {
return LHS.ScalarFnName < RHS.ScalarFnName;
}
static bool compareByVectorFnName(const VecDesc &LHS, const VecDesc &RHS) {
return LHS.VectorFnName < RHS.VectorFnName;
}
static bool compareWithScalarFnName(const VecDesc &LHS, StringRef S) {
return LHS.ScalarFnName < S;
}
static bool compareWithVectorFnName(const VecDesc &LHS, StringRef S) {
return LHS.VectorFnName < S;
}
void TargetLibraryInfoImpl::addVectorizableFunctions(ArrayRef<VecDesc> Fns) {
VectorDescs.insert(VectorDescs.end(), Fns.begin(), Fns.end());
llvm::sort(VectorDescs, compareByScalarFnName);
ScalarDescs.insert(ScalarDescs.end(), Fns.begin(), Fns.end());
llvm::sort(ScalarDescs, compareByVectorFnName);
}
void TargetLibraryInfoImpl::addVectorizableFunctionsFromVecLib(
enum VectorLibrary VecLib) {
switch (VecLib) {
case Accelerate: {
const VecDesc VecFuncs[] = {
#define TLI_DEFINE_ACCELERATE_VECFUNCS
#include "llvm/Analysis/VecFuncs.def"
};
addVectorizableFunctions(VecFuncs);
break;
}
case MASSV: {
const VecDesc VecFuncs[] = {
#define TLI_DEFINE_MASSV_VECFUNCS
#include "llvm/Analysis/VecFuncs.def"
};
addVectorizableFunctions(VecFuncs);
break;
}
case SVML: {
const VecDesc VecFuncs[] = {
#define TLI_DEFINE_SVML_VECFUNCS
#include "llvm/Analysis/VecFuncs.def"
};
addVectorizableFunctions(VecFuncs);
break;
}
case NoLibrary:
break;
}
}
bool TargetLibraryInfoImpl::isFunctionVectorizable(StringRef funcName) const {
funcName = sanitizeFunctionName(funcName);
if (funcName.empty())
return false;
std::vector<VecDesc>::const_iterator I =
llvm::lower_bound(VectorDescs, funcName, compareWithScalarFnName);
return I != VectorDescs.end() && StringRef(I->ScalarFnName) == funcName;
}
StringRef TargetLibraryInfoImpl::getVectorizedFunction(StringRef F,
unsigned VF) const {
F = sanitizeFunctionName(F);
if (F.empty())
return F;
std::vector<VecDesc>::const_iterator I =
llvm::lower_bound(VectorDescs, F, compareWithScalarFnName);
while (I != VectorDescs.end() && StringRef(I->ScalarFnName) == F) {
if (I->VectorizationFactor == VF)
return I->VectorFnName;
++I;
}
return StringRef();
}
StringRef TargetLibraryInfoImpl::getScalarizedFunction(StringRef F,
unsigned &VF) const {
F = sanitizeFunctionName(F);
if (F.empty())
return F;
std::vector<VecDesc>::const_iterator I =
llvm::lower_bound(ScalarDescs, F, compareWithVectorFnName);
if (I == VectorDescs.end() || StringRef(I->VectorFnName) != F)
return StringRef();
VF = I->VectorizationFactor;
return I->ScalarFnName;
}
TargetLibraryInfo TargetLibraryAnalysis::run(Module &M,
ModuleAnalysisManager &) {
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
if (PresetInfoImpl)
return TargetLibraryInfo(*PresetInfoImpl);
return TargetLibraryInfo(lookupInfoImpl(Triple(M.getTargetTriple())));
}
TargetLibraryInfo TargetLibraryAnalysis::run(Function &F,
FunctionAnalysisManager &) {
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
if (PresetInfoImpl)
return TargetLibraryInfo(*PresetInfoImpl);
return TargetLibraryInfo(
lookupInfoImpl(Triple(F.getParent()->getTargetTriple())));
}
TargetLibraryInfoImpl &TargetLibraryAnalysis::lookupInfoImpl(const Triple &T) {
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
std::unique_ptr<TargetLibraryInfoImpl> &Impl =
Impls[T.normalize()];
if (!Impl)
Impl.reset(new TargetLibraryInfoImpl(T));
return *Impl;
}
unsigned TargetLibraryInfoImpl::getWCharSize(const Module &M) const {
if (auto *ShortWChar = cast_or_null<ConstantAsMetadata>(
M.getModuleFlag("wchar_size")))
return cast<ConstantInt>(ShortWChar->getValue())->getZExtValue();
return 0;
}
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
TargetLibraryInfoWrapperPass::TargetLibraryInfoWrapperPass()
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
: ImmutablePass(ID), TLIImpl(), TLI(TLIImpl) {
initializeTargetLibraryInfoWrapperPassPass(*PassRegistry::getPassRegistry());
}
TargetLibraryInfoWrapperPass::TargetLibraryInfoWrapperPass(const Triple &T)
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
: ImmutablePass(ID), TLIImpl(T), TLI(TLIImpl) {
initializeTargetLibraryInfoWrapperPassPass(*PassRegistry::getPassRegistry());
}
TargetLibraryInfoWrapperPass::TargetLibraryInfoWrapperPass(
[PM] Rework how the TargetLibraryInfo pass integrates with the new pass manager to support the actual uses of it. =] When I ported instcombine to the new pass manager I discover that it didn't work because TLI wasn't available in the right places. This is a somewhat surprising and/or subtle aspect of the new pass manager design that came up before but I think is useful to be reminded of: While the new pass manager *allows* a function pass to query a module analysis, it requires that the module analysis is already run and cached prior to the function pass manager starting up, possibly with a 'require<foo>' style utility in the pass pipeline. This is an intentional hurdle because using a module analysis from a function pass *requires* that the module analysis is run prior to entering the function pass manager. Otherwise the other functions in the module could be in who-knows-what state, etc. A somewhat surprising consequence of this design decision (at least to me) is that you have to design a function pass that leverages a module analysis to do so as an optional feature. Even if that means your function pass does no work in the absence of the module analysis, you have to handle that possibility and remain conservatively correct. This is a natural consequence of things being able to invalidate the module analysis and us being unable to re-run it. And it's a generally good thing because it lets us reorder passes arbitrarily without breaking correctness, etc. This ends up causing problems in one case. What if we have a module analysis that is *definitionally* impossible to invalidate. In the places this might come up, the analysis is usually also definitionally trivial to run even while other transformation passes run on the module, regardless of the state of anything. And so, it follows that it is natural to have a hard requirement on such analyses from a function pass. It turns out, that TargetLibraryInfo is just such an analysis, and InstCombine has a hard requirement on it. The approach I've taken here is to produce an analysis that models this flexibility by making it both a module and a function analysis. This exposes the fact that it is in fact safe to compute at any point. We can even make it a valid CGSCC analysis at some point if that is useful. However, we don't want to have a copy of the actual target library info state for each function! This state is specific to the triple. The somewhat direct and blunt approach here is to turn TLI into a pimpl, with the state and mutators in the implementation class and the query routines primarily in the wrapper. Then the analysis can lazily construct and cache the implementations, keyed on the triple, and on-demand produce wrappers of them for each function. One minor annoyance is that we will end up with a wrapper for each function in the module. While this is a bit wasteful (one pointer per function) it seems tolerable. And it has the advantage of ensuring that we pay the absolute minimum synchronization cost to access this information should we end up with a nice parallel function pass manager in the future. We could look into trying to mark when analysis results are especially cheap to recompute and more eagerly GC-ing the cached results, or we could look at supporting a variant of analyses whose results are specifically *not* cached and expected to just be used and discarded by the consumer. Either way, these seem like incremental enhancements that should happen when we start profiling the memory and CPU usage of the new pass manager and not before. The other minor annoyance is that if we end up using the TLI in both a module pass and a function pass, those will be produced by two separate analyses, and thus will point to separate copies of the implementation state. While a minor issue, I dislike this and would like to find a way to cleanly allow a single analysis instance to be used across multiple IR unit managers. But I don't have a good solution to this today, and I don't want to hold up all of the work waiting to come up with one. This too seems like a reasonable thing to incrementally improve later. llvm-svn: 226981
2015-01-24 03:06:09 +01:00
const TargetLibraryInfoImpl &TLIImpl)
: ImmutablePass(ID), TLIImpl(TLIImpl), TLI(this->TLIImpl) {
initializeTargetLibraryInfoWrapperPassPass(*PassRegistry::getPassRegistry());
}
[PM] Change the static object whose address is used to uniquely identify analyses to have a common type which is enforced rather than using a char object and a `void *` type when used as an identifier. This has a number of advantages. First, it at least helps some of the confusion raised in Justin Lebar's code review of why `void *` was being used everywhere by having a stronger type that connects to documentation about this. However, perhaps more importantly, it addresses a serious issue where the alignment of these pointer-like identifiers was unknown. This made it hard to use them in pointer-like data structures. We were already dodging this in dangerous ways to create the "all analyses" entry. In a subsequent patch I attempted to use these with TinyPtrVector and things fell apart in a very bad way. And it isn't just a compile time or type system issue. Worse than that, the actual alignment of these pointer-like opaque identifiers wasn't guaranteed to be a useful alignment as they were just characters. This change introduces a type to use as the "key" object whose address forms the opaque identifier. This both forces the objects to have proper alignment, and provides type checking that we get it right everywhere. It also makes the types somewhat less mysterious than `void *`. We could go one step further and introduce a truly opaque pointer-like type to return from the `ID()` static function rather than returning `AnalysisKey *`, but that didn't seem to be a clear win so this is just the initial change to get to a reliably typed and aligned object serving is a key for all the analyses. Thanks to Richard Smith and Justin Lebar for helping pick plausible names and avoid making this refactoring many times. =] And thanks to Sean for the super fast review! While here, I've tried to move away from the "PassID" nomenclature entirely as it wasn't really helping and is overloaded with old pass manager constructs. Now we have IDs for analyses, and key objects whose address can be used as IDs. Where possible and clear I've shortened this to just "ID". In a few places I kept "AnalysisID" to make it clear what was being identified. Differential Revision: https://reviews.llvm.org/D27031 llvm-svn: 287783
2016-11-23 18:53:26 +01:00
AnalysisKey TargetLibraryAnalysis::Key;
// Register the basic pass.
INITIALIZE_PASS(TargetLibraryInfoWrapperPass, "targetlibinfo",
"Target Library Information", false, true)
char TargetLibraryInfoWrapperPass::ID = 0;
void TargetLibraryInfoWrapperPass::anchor() {}