Flask backend crashes on the production server

[pmcneely]

It looks like the production server was migrated to new hardware, which isn't compatible with TensorFlow (needed for the CGM CNN model).
Current production CPU flags:

Flags:  fpu de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx lm constant_tsc nopl xtopology cpuid tsc_known_freq pni cx16 x2apic hypervisor lahf_lm cpuid_fault pti

Current test CPU flags (note the AVX and AVX2 instruction flags):

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 rdtscp lm constant_tsc rep_good nopl xtopology cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single pti fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx smap xsaveopt arat

Per a note involving another tool trying to use the TensorFlow python package (as in the CGM model) (note here), TensorFlow is compiled with AVX flags, thus giving our error 132:

[2025-12-19 21:08:20 +0000] [317] [INFO] Booting worker with pid: 317
[2025-12-19 21:08:24 +0000] [1] [ERROR] Worker (pid:317) was sent code 132!
[2025-12-19 21:08:24 +0000] [324] [INFO] Booting worker with pid: 324
[2025-12-19 21:08:28 +0000] [1] [ERROR] Worker (pid:324) was sent code 132!