Hi, I am currently working on GPU model of Gem5 there while running alexnet benchmark in DNNMARK suite in 24-0, I am currently getting an error that my memory size is less. So to resolve it I have increased memory size to 8GB. After increasing the memory size I am getting a different error which I am not able to resolve, I am attaching the error and the command which I have used
Error-- src/arch/x86/faults.cc:167: panic: Tried to write unmapped address 0x7fffffffdf80. PC: (0x7ffff8009475=>0x7ffff8009478).(0=>1), Instr: MOV_M_R : st edx, SS:[t0 + rsp] Memory Usage: 20324256 KBytes Program aborted at tick 190131659500 --- BEGIN LIBC BACKTRACE --- build/VEGA_X86/gem5.opt(_ZN4gem515print_backtraceEv+0x30)[0x5601f24103f0] build/VEGA_X86/gem5.opt(_ZN4gem512abortHandlerEi+0x4c)[0x5601f243b8ac] /lib/x86_64-linux-gnu/libpthread.so.0(+0x14420)[0x7f94cc539420] /lib/x86_64-linux-gnu/libc.so.6(gsignal+0xcb)[0x7f94cb70300b] /lib/x86_64-linux-gnu/libc.so.6(abort+0x12b)[0x7f94cb6e2859] build/VEGA_X86/gem5.opt(+0xdebc05)[0x5601f224dc05] build/VEGA_X86/gem5.opt(_ZN4gem56X86ISA9PageFault6invokeEPNS_13ThreadContextERKNS_14RefCountingPtrINS_10StaticInstEEE+0x1b6)[0x5601f3222856] build/VEGA_X86/gem5.opt(_ZN4gem513BaseSimpleCPU9advancePCERKSt10shared_ptrINS_9FaultBaseEE+0xde)[0x5601f3a07e1e] build/VEGA_X86/gem5.opt(_ZN4gem515TimingSimpleCPU11advanceInstERKSt10shared_ptrINS_9FaultBaseEE+0xc6)[0x5601f39ff026] build/VEGA_X86/gem5.opt(_ZN4gem515TimingSimpleCPU17finishTranslationEPNS_21WholeTranslationStateE+0x111)[0x5601f3a02c81] build/VEGA_X86/gem5.opt(_ZN4gem515DataTranslationIPNS_15TimingSimpleCPUEE6finishERKSt10shared_ptrINS_9FaultBaseEERKS4_INS_7RequestEEPNS_13ThreadContextENS_7BaseMMU4ModeE+0xe3)[0x5601f3a060f3] build/VEGA_X86/gem5.opt(_ZN4gem56X86ISA3TLB15translateTimingERKSt10shared_ptrINS_7RequestEEPNS_13ThreadContextEPNS_7BaseMMU11TranslationENS9_4ModeE+0xd2)[0x5601f3263e82] build/VEGA_X86/gem5.opt(_ZN4gem515TimingSimpleCPU8writeMemEPhjmNS_5FlagsImEEPmRKSt6vectorIbSaIbEE+0x758)[0x5601f3a04888] build/VEGA_X86/gem5.opt(_ZN4gem517SimpleExecContext8writeMemEPhjmNS_5FlagsImEEPmRKSt6vectorIbSaIbEE+0x57)[0x5601f3a099a7] build/VEGA_X86/gem5.opt(+0x22559e6)[0x5601f36b79e6] build/VEGA_X86/gem5.opt(_ZNK4gem510X86ISAInst2St11initiateAccEPNS_11ExecContextEPNS_5trace10InstRecordE+0x168)[0x5601f36f46f8] build/VEGA_X86/gem5.opt(_ZN4gem515TimingSimpleCPU14completeIfetchEPNS_6PacketE+0x16d)[0x5601f39ffefd] build/VEGA_X86/gem5.opt(_ZN4gem510EventQueue10serviceOneEv+0x175)[0x5601f2427eb5] build/VEGA_X86/gem5.opt(_ZN4gem59doSimLoopEPNS_10EventQueueE+0x70)[0x5601f245cb30] build/VEGA_X86/gem5.opt(_ZN4gem58simulateEm+0x28b)[0x5601f245d1bb] build/VEGA_X86/gem5.opt(+0x2a12620)[0x5601f3e74620] build/VEGA_X86/gem5.opt(+0xdcc388)[0x5601f222e388] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(+0x2a8748)[0x7f94cc7f0748] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(_PyEval_EvalFrameDefault+0x8dd8)[0x7f94cc5c5f48] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(_PyEval_EvalCodeWithName+0x8fb)[0x7f94cc712e4b] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(_PyFunction_Vectorcall+0x94)[0x7f94cc7f0124] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(+0x74d6d)[0x7f94cc5bcd6d] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(_PyEval_EvalFrameDefault+0x7d86)[0x7f94cc5c4ef6] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(_PyEval_EvalCodeWithName+0x8fb)[0x7f94cc712e4b] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(PyEval_EvalCodeEx+0x42)[0x7f94cc7131d2] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(PyEval_EvalCode+0x1f)[0x7f94cc7135bf] /lib/x86_64-linux-gnu/libpython3.8.so.1.0(+0x1cfc01)[0x7f94cc717c01] --- END LIBC BACKTRACE --- For more info on how to address this issue, please visit https://www.gem5.org/documentation/general_docs/common-errors/ Command- docker run --rm -v ${PWD}:${PWD} -v ${PWD}/gem5-resources/src/gpu/DNNMark/cachefiles:/root/.cache/miopen/2.9.0 -w ${PWD} ghcr.io/gem5/gcn-gpu:v24-0 build/VEGA_X86/gem5.opt configs/example/apu_se.py -n3 --benchmark-root=gem5-resources/src/gpu/DNNMark/build/benchmarks/test_alexnet -c dnnmark_test_alexnet --options="-config gem5-resources/src/gpu/DNNMark/config_example/alexnet.dnnmark -mmap gem5-resources/src/gpu/DNNMark/mmap.bin" --mem-size=8GB I am also getting similar error for test_fwd_conv and VGG. Regards, Ravikant
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