This is the mail archive of the gcc-bugs@gcc.gnu.org mailing list for the GCC project.


Index Nav: [Date Index] [Subject Index] [Author Index] [Thread Index]
Message Nav: [Date Prev] [Date Next] [Thread Prev] [Thread Next]
Other format: [Raw text]

optimization/6976: reload1.c verify_initial_elim_offsets


>Number:         6976
>Category:       optimization
>Synopsis:       reload1.c verify_initial_elim_offsets
>Confidential:   no
>Severity:       serious
>Priority:       medium
>Responsible:    unassigned
>State:          open
>Class:          ice-on-legal-code
>Submitter-Id:   net
>Arrival-Date:   Sun Jun 09 03:56:01 PDT 2002
>Closed-Date:
>Last-Modified:
>Originator:     Sergei Pachkov
>Release:        gcc 3.2 20020607 (experimental)
>Organization:
>Environment:
Linux kernel 2.4.18 on Athlon-xp 1600+ with 256 DDR
Libc 2.2.4
CFLAGS = -O64 -m32 -march=athlon-xp -mcpu=athlon-xp -msse -m3dnow -fforce-addr -fforce-mem -fkeep-inline-functions -frename-registers -fexpensive-optimizations -funroll-loops -fsaves-caller
CXXFLAGS = -O64 -m32 -march=athlon-xp -mcpu=athlon-xp -msse -m3dnow -fforce-addr -fforce-mem -finline-functions -frename-registers -fexpensive-optimizations -funroll-loops -fsaves-caller
LD_RUN_PATH=${HOME}/athlon-tools/lib #this directory contain last version gcc and libstdc++
LD_LIBRARY_PATH=${HOME}/athlon-tools/lib #this directory contain last version gcc and libstdc++
>Description:
gcc report internal error.
When make try to compile motion_est_mmx.c in avifile0.7-0.7.7/ffmpeg/libavcodec/i386
with options source='motion_est_mmx.c' object='motion_est_mmx.lo' libtool=yes \
depfile='.deps/motion_est_mmx.Plo' tmpdepfile='.deps/motion_est_mmx.TPlo' \
depmode=gcc3 /bin/sh ../../../admin/depcomp \
/bin/sh ../../../libtool --mode=compile gcc -DHAVE_CONFIG_H -I. -I. -I../../../include  -DHAVE_AV_CONFIG_H -I./..  -I./../.. -Wall -Wno-unused -I../../../include -O4 -fomit-frame-pointer -march=i686  -O64 -m32 -march=athlon-xp -msse -m3dnow -fforce-addr -fforce-mem -ffast-math -finline-functions -fexpensive-optimizations -funroll-loops -fcaller-saves -frename-registers -fkeep-inline-functions -pipe  -c -o motion_est_mmx.lo `test -f motion_est_mmx.c || echo './'`motion_est_mmx.c
gcc -DHAVE_CONFIG_H -I. -I. -I../../../include -DHAVE_AV_CONFIG_H -I./.. -I./../.. -Wall -Wno-unused -I../../../include -O4 -fomit-frame-pointer -march=i686 -O64 -m32 -march=athlon-xp -msse -m3dnow -fforce-addr -fforce-mem -ffast-math -finline-functions -fexpensive-optimizations -funroll-loops -fcaller-saves -frename-registers -fkeep-inline-functions -pipe -c motion_est_mmx.c -MT motion_est_mmx.lo -MD -MP -MF .deps/motion_est_mmx.TPlo  -fPIC -DPIC -o motion_est_mmx.lo
motion_est_mmx.c:26: Warning: integer constant is too large for "long" type
motion_est_mmx.c:27: Warning: integer constant is too large for "long" type
motion_est_mmx.c: In function `pix_abs8x8_x2_mmx':
motion_est_mmx.c:367: Internal compiler error: Internal compiler error in verify_initial_elim_offsets, at reload1.c:3337
Please submit a full bug report,
with preprocessed source if appropriate.
See <URL:http://www.gnu.org/software/gcc/bugs.html> for instructions.
make: *** [motion_est_mmx.lo] Error 1
>How-To-Repeat:
download avifile0.7-0.7.7-20020523 from avifile.sourceforge.net
configure it for you computer and try to make a binary.
after few minutes(about 5-6 on my athlon-xp 1600+) compiler report a internal error.
>Fix:

>Release-Note:
>Audit-Trail:
>Unformatted:
----gnatsweb-attachment----
Content-Type: application/gzip; name="collection.tar.gz"
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename="collection.tar.gz"
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Index Nav: [Date Index] [Subject Index] [Author Index] [Thread Index]
Message Nav: [Date Prev] [Date Next] [Thread Prev] [Thread Next]