Suggested Build Params For Older Gen Intel CPU

[mexicantexan]

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Issue Type

Support

Source

source

Tensorflow Version

2.12

Custom Code

Yes

OS Platform and Distribution

Linux Ubuntu 20.04

Mobile device

No response

Python version

3.9

Bazel version

5.3

GCC/Compiler version

No response

CUDA/cuDNN version

n/a

GPU model and memory

n/a

Current Behaviour?

Just wondering what the suggested build parameters would be for an Intel Xeon E5-4650V2 with no GPU? Here are the specs when running lscpu:


CPU op-mode(s):                  32-bit, 64-bit
Byte Order:                      Little Endian
Address sizes:                   40 bits physical, 48 bits virtual
CPU(s):                          16
On-line CPU(s) list:             0-15
Thread(s) per core:              1
Core(s) per socket:              8
Socket(s):                       2
NUMA node(s):                    1
Vendor ID:                       GenuineIntel
CPU family:                      15
Model:                           6
Model name:                      Common KVM processor
Stepping:                        1
CPU MHz:                         2493.988
BogoMIPS:                        4987.97
Hypervisor vendor:               KVM
Virtualization type:             full
L1d cache:                       512 KiB
L1i cache:                       512 KiB
L2 cache:                        64 MiB
L3 cache:                        32 MiB
NUMA node0 CPU(s):               0-15
Vulnerability Itlb multihit:     KVM: Vulnerable
Vulnerability L1tf:              Mitigation; PTE Inversion
Vulnerability Mds:               Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Meltdown:          Mitigation; PTI
Vulnerability Mmio stale data:   Unknown: No mitigations
Vulnerability Retbleed:          Not affected
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:        Mitigation; Retpolines, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Not affected
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 lm constant_tsc nopl xtopology cpuid tsc_known_freq pni cx16 x2apic hypervisor lahf_lm cpuid_fault
                                  pti

I would use the default pip install tensorflow, but I get the error that our CPU doesn't support sse4.1 and a bunch of other errors that are cause our scripts to fail.

Right now I've successfully built the whl file once, but I'm not sure if I used the right flags.

### Standalone code to reproduce the issue

```shell
`pip install tensorflow` results in errors stating that our CPU doesn't support sse4.2, sse4.1, etc.

Relevant log output

No response

[mohantym]

Hi @mexicantexan !
You can use build from source document to make a custom build according to your hardware architecture.

You need to link the cuda and other required tool chains(android/ios) in configure.py process if you are trying to configure for GPU support.

Attached relevant thread for reference.

"-mavx -msse4.1 -msse4.2"

Thank you!

[google-ml-butler]

This issue has been automatically marked as stale because it has no recent activity. It will be closed if no further activity occurs. Thank you.

[google-ml-butler]

Closing as stale. Please reopen if you'd like to work on this further.

[google-ml-butler]

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