GCC 14.1 internal compiler errors? about pytorch

[shink]

Thanks for your report! Could you please share your minimal reproducible example?

[Geremia]

@shink I wish I could isolate the issue better.
I get a similar Caffe2 / aten issue when compiling with GCC 14.1.0, too:

/usr/bin/cmake: symbol lookup error: /usr/lib64/libstdc++.so.6: undefined symbol: _ZNKSt7__cxx110messagesIcE7do_openERKNS_12basic_stringIcSt11char_traitsIcESaIcEEERKSt6locale, version GLIBCXX_3.4.21
make[2]: *** [caffe2/CMakeFiles/ATEN_CUDA_FILES_GEN_TARGET.dir/build.make:7118: aten/src/ATen/ops/bitwise_right_shift_cpu_dispatch.h] Error 127
make[2]: *** Deleting file 'aten/src/ATen/ops/bitwise_right_shift_cpu_dispatch.h'
make[2]: *** Waiting for unfinished jobs....
make[1]: *** [CMakeFiles/Makefile2:1122: caffe2/CMakeFiles/ATEN_CUDA_FILES_GEN_TARGET.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....

I'm not sure why it says GLIBCXX_3.4.21; my Libc version is 2.39.

Updated versions from collect_env.py

Collecting environment information...
PyTorch version: N/A
Is debug build: N/A
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: N/A

OS: Slackware Linux  (x86_64)
GCC version: (GCC) 14.1.0
Clang version: 18.1.5
CMake version: version 3.29.3
Libc version: glibc-2.39

Python version: 3.11.9 (main, Apr  2 2024, 13:43:44) [GCC 13.2.0] (64-bit runtime)
Python platform: Linux-6.9.0-x86_64-AMD_Ryzen_Threadripper_2990WX_32-Core_Processor-with-glibc2.39
Is CUDA available: N/A
CUDA runtime version: 12.4.99
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: GPU 0: Quadro RTX 4000
Nvidia driver version: 550.54.14
cuDNN version: Probably one of the following:
/usr/share/cuda/lib64/libcudnn.so.9.1.1
/usr/share/cuda/lib64/libcudnn_adv.so.9.1.1
/usr/share/cuda/lib64/libcudnn_cnn.so.9.1.1
/usr/share/cuda/lib64/libcudnn_engines_precompiled.so.9.1.1
/usr/share/cuda/lib64/libcudnn_engines_runtime_compiled.so.9.1.1
/usr/share/cuda/lib64/libcudnn_graph.so.9.1.1
/usr/share/cuda/lib64/libcudnn_heuristic.so.9.1.1
/usr/share/cuda/lib64/libcudnn_ops.so.9.1.1
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: N/A

CPU:
Architecture:                         x86_64
CPU op-mode(s):                       32-bit, 64-bit
Address sizes:                        43 bits physical, 48 bits virtual
Byte Order:                           Little Endian
CPU(s):                               64
On-line CPU(s) list:                  0-63
Vendor ID:                            AuthenticAMD
BIOS Vendor ID:                       Advanced Micro Devices, Inc.
Model name:                           AMD Ryzen Threadripper 2990WX 32-Core Processor
BIOS Model name:                      AMD Ryzen Threadripper 2990WX 32-Core Processor Unknown CPU @ 3.0GHz
BIOS CPU family:                      107
CPU family:                           23
Model:                                8
Thread(s) per core:                   2
Core(s) per socket:                   32
Socket(s):                            1
Stepping:                             2
Frequency boost:                      enabled
CPU(s) scaling MHz:                   74%
CPU max MHz:                          3000.0000
CPU min MHz:                          2200.0000
BogoMIPS:                             5999.96
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid amd_dcm aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate ssbd ibpb vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif overflow_recov succor smca sev sev_es
Virtualization:                       AMD-V
L1d cache:                            1 MiB (32 instances)
L1i cache:                            2 MiB (32 instances)
L2 cache:                             16 MiB (32 instances)
L3 cache:                             64 MiB (8 instances)
NUMA node(s):                         4
NUMA node0 CPU(s):                    0-7,32-39
NUMA node1 CPU(s):                    16-23,48-55
NUMA node2 CPU(s):                    8-15,40-47
NUMA node3 CPU(s):                    24-31,56-63
Vulnerability Gather data sampling:   Not affected
Vulnerability Itlb multihit:          Not affected
Vulnerability L1tf:                   Not affected
Vulnerability Mds:                    Not affected
Vulnerability Meltdown:               Not affected
Vulnerability Mmio stale data:        Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed:               Mitigation; untrained return thunk; SMT vulnerable
Vulnerability Spec rstack overflow:   Mitigation; Safe RET
Vulnerability Spec store bypass:      Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1:             Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:             Mitigation; Retpolines; IBPB conditional; STIBP disabled; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected

Versions of relevant libraries:
[pip3] flake8==7.0.0
[pip3] numpy==1.26.3
[conda] Could not collect

[Geremia]

Removing the -fPIC flag, the build continued further, but I encountered the same issue again:

Fatal glibc error: malloc.c:4376 (_int_malloc): assertion failed: (unsigned long) (size) >= (unsigned long) (nb)
during GIMPLE pass: dce
/tmp/SBo/pytorch-v2.3.0/aten/src/ATen/FunctionalInverses.cpp: In static member function ‘static at::Tensor at::functionalization::FunctionalInverses::_nested_get_values_inverse(const at::Tensor&, const at::Tensor&, at::functionalization::InverseReturnMode)’:
/tmp/SBo/pytorch-v2.3.0/aten/src/ATen/FunctionalInverses.cpp:315:8: internal compiler error: Aborted
  315 | Tensor FunctionalInverses::_nested_get_values_inverse(const Tensor& base, const Tensor& mutated_view, InverseReturnMode inverse_return_mode) {
      |        ^~~~~~~~~~~~~~~~~~
0x1fc8df8 internal_error(char const*, ...)
        ???:0
0x7feb1f696aab __pthread_kill
        ???:0
0x7feb1f642e11 __GI_raise
        ???:0
0x7feb1f62849e abort
        ???:0
0x7feb1f6292c9 __libc_message_impl.cold
        ???:0
0x7feb1f639e02 __libc_assert_fail
        ???:0
0x7feb1f6a3c84 _int_malloc
        ???:0
0x7feb1f6a3f51 _int_realloc
        ???:0
0x7feb1f6a51a5 __libc_realloc
        ???:0
0x2058b30 xrealloc
        ???:0
0xacce0e get_dominated_to_depth(cdi_direction, basic_block_def*, int)
        ???:0
0xacce9a get_all_dominated_blocks(cdi_direction, basic_block_def*)
        ???:0
Please submit a full bug report, with preprocessed source (by using -freport-bug).
Please include the complete backtrace with any bug report.
See <https://gcc.gnu.org/bugs/> for instructions.

It seems to be a compiler bug.

There is a GCC bug reported related to compiling GridSamplerKernel.cpp. The solution was to use -fno-strict-aliasing, but that didn't help things in my case.

[Geremia]

I was encountering these compiler errors because of a hardware issue; my DRAM MHz was set too high.