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I read the article
It mentioned that the 2nd generation instructions such as AVX512_VNNI are optimized for Neural Network
I ran one of INT8 models in IntelAI
https://github.com/IntelAI/models/tree/master/benchmarks
Here is my environment
- Docker: docker.io/intelaipg/intel-optimized-tensorflow:latest
- CPU info
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 96
On-line CPU(s) list: 0-95
Thread(s) per core: 2
Core(s) per socket: 24
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz
Stepping: 7
CPU MHz: 1838.080
BogoMIPS: 5000.00
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 36608K
NUMA node0 CPU(s): 0-23,48-71
NUMA node1 CPU(s): 24-47,72-95
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq monitor ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves ida arat pku ospke avx512_vnni
I expect to run the Neural Network by the 2 gen instructions (AVX512_VNNI)
but it shows that the following optimized instructions are used:
AVX512F, AVX2, FMA
Is the docker image the optimized version to run Neural Network?
How can I get the information whether AVX512_VNNI is used or not?
How can I compile the code provided by IntelAI by the 2 gen Intel instructions?
Which docker image can I use to run the program?
Thanks in advance
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Duplicated thread. Please refer to https://software.intel.com/en-us/forums/intel-optimized-ai-frameworks/topic/843478#comment-1951298

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