[Doc] Move examples into categories (#11840)
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
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@@ -95,7 +95,7 @@ $ VLLM_TARGET_DEVICE=cpu python setup.py install
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$ sudo apt-get install libtcmalloc-minimal4 # install TCMalloc library
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$ find / -name *libtcmalloc* # find the dynamic link library path
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$ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4:$LD_PRELOAD # prepend the library to LD_PRELOAD
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$ python examples/offline_inference.py # run vLLM
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$ python examples/offline_inference/offline_inference.py # run vLLM
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```
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- 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:
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@@ -132,7 +132,7 @@ CPU NODE SOCKET CORE L1d:L1i:L2:L3 ONLINE MAXMHZ MINMHZ MHZ
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# On this platform, it is recommend to only bind openMP threads on logical CPU cores 0-7 or 8-15
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$ export VLLM_CPU_OMP_THREADS_BIND=0-7
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$ python examples/offline_inference.py
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$ python examples/offline_inference/offline_inference.py
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```
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- 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.
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@@ -71,4 +71,4 @@ $ --pipeline-parallel-size=2 \
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$ -tp=8
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```
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By default, a ray instance will be launched automatically if no existing one is detected in system, with `num-gpus` equals to `parallel_config.world_size`. We recommend properly starting a ray cluster before execution, referring to the <gh-file:examples/run_cluster.sh> helper script.
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By default, a ray instance will be launched automatically if no existing one is detected in system, with `num-gpus` equals to `parallel_config.world_size`. We recommend properly starting a ray cluster before execution, referring to the <gh-file:examples/online_serving/run_cluster.sh> helper script.
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