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[Doc] Rename offline inference examples (#11927)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2025-01-10 15:50:29 +00:00
committed by GitHub
parent 20410b2fda
commit 482cdc494e
46 changed files with 46 additions and 46 deletions
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4
docs/source/getting_started/installation/cpu-x86.md
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@@ -95,7 +95,7 @@ $ VLLM_TARGET_DEVICE=cpu python setup.py install
$ sudo apt-get install libtcmalloc-minimal4 # install TCMalloc library
$ find / -name *libtcmalloc* # find the dynamic link library path
$ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:$LD_PRELOAD # prepend the library to LD_PRELOAD
$ python examples/offline_inference/offline_inference.py # run vLLM
$ python examples/offline_inference/basic.py # run vLLM
```
- When using the online serving, it is recommended to reserve 1-2 CPU cores for the serving framework to avoid CPU oversubscription. For example, on a platform with 32 physical CPU cores, reserving CPU 30 and 31 for the framework and using CPU 0-29 for OpenMP:
@@ -132,7 +132,7 @@ CPU NODE SOCKET CORE L1d:L1i:L2:L3 ONLINE MAXMHZ MINMHZ MHZ
# On this platform, it is recommend to only bind openMP threads on logical CPU cores 0-7 or 8-15
$ export VLLM_CPU_OMP_THREADS_BIND=0-7
$ python examples/offline_inference/offline_inference.py
$ python examples/offline_inference/basic.py
```
- If using vLLM CPU backend on a multi-socket machine with NUMA, be aware to set CPU cores using `VLLM_CPU_OMP_THREADS_BIND` to avoid cross NUMA node memory access.