[CPU][doc] add torch.compile param in example commands (#10349)
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@@ -139,9 +139,10 @@ Notes:
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You may need to set proper `--max-total-tokens` to avoid the out-of-memory error.
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3. For optimizing decoding with torch.compile, please add the flag `--enable-torch-compile`.
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To specify the maximum batch size when using torch compile, set the flag `--torch-compile-max-bs`.
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For example, `--enable-torch-compile --torch-compile-max-bs 4` means using torch compile and setting the
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maximum batch size to 4.
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To specify the maximum batch size when using `torch.compile`, set the flag `--torch-compile-max-bs`.
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For example, `--enable-torch-compile --torch-compile-max-bs 4` means using `torch.compile`
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and setting the maximum batch size to 4. Currently the maximum applicable batch size
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for optimizing with `torch.compile` is 16.
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4. A warmup step is automatically triggered when the service is started.
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The server is ready when you see the log `The server is fired up and ready to roll!`.
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@@ -184,6 +185,8 @@ python -m sglang.launch_server \
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--quantization w8a8_int8 \
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--host 0.0.0.0 \
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--mem-fraction-static 0.8 \
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--enable-torch-compile \
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--torch-compile-max-bs 4 \
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--tp 6
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```
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@@ -197,8 +200,13 @@ python -m sglang.launch_server \
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--device cpu \
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--host 0.0.0.0 \
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--mem-fraction-static 0.8 \
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--enable-torch-compile \
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--torch-compile-max-bs 4 \
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--tp 6
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```
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Note: Please set `--torch-compile-max-bs` to the maximum desired batch size for your deployment,
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which can be up to 16. The value `4` in the examples is illustrative.
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Then you can test with `bench_serving` command or construct your own command or script
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following [the benchmarking example](#benchmarking-with-requests).
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