bench: fix wrong flag names in bench_one_batch{,_server} docstrings (#25143)
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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co-authored by
Claude Opus 4.7
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66a9234246
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f2a90094c9
@@ -8,14 +8,14 @@ It accepts server arguments (the same as launch_server.py) and benchmark argumen
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## with dummy weights:
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python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --load-format dummy
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## sweep through multiple data points and store (append) the results in a jsonl file:
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python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --batch 1 12 14 --input-len 256 512 --output-len 32 256 --run-name test_run
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python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --batch-size 1 12 14 --input-len 256 512 --output-len 32 256 --run-name test_run
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## run with profiling:
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python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --batch 1 12 14 --input-len 256 512 --profile
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python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --batch-size 1 12 14 --input-len 256 512 --profile
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## run with profiling to custom directory:
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export SGLANG_TORCH_PROFILER_DIR=/root/sglang/profile_log
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python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --batch 1 --input-len 256 --profile
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python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --batch-size 1 --input-len 256 --profile
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## run with CUDA profiler (nsys):
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nsys profile --force-overwrite=true -o bench_one_batch python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --batch 1 --input-len 256 --profile --profile-activities CUDA_PROFILER
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nsys profile --force-overwrite=true -o bench_one_batch python -m sglang.bench_one_batch --model-path meta-llama/Meta-Llama-3-8B-Instruct --batch-size 1 --input-len 256 --profile --profile-activities CUDA_PROFILER
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# Usage (correctness test):
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python -m sglang.bench_one_batch --model-path TinyLlama/TinyLlama-1.1B-Chat-v0.4 --correct
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@@ -9,7 +9,7 @@ python3 -m sglang.bench_one_batch_server --model meta-llama/Meta-Llama-3.1-8B --
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python3 -m sglang.bench_one_batch_server --model None --base-url http://localhost:30000 --batch-size 16 --input-len 1024 --output-len 8
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python3 -m sglang.bench_one_batch_server --model None --base-url http://localhost:30000 --batch-size 16 --input-len 1024 --output-len 8 --show-report --profile --profile-by-stage
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python3 -m sglang.bench_one_batch_server --model None --base-url http://localhost:30000 --batch-size 16 --input-len 1024 --output-len 8 --output-path results.json --profile
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python3 -m sglang.bench_one_batch_server --model None --base-url http://localhost:30000 --batch-size 16 --input-len 1024 --output-len 8 --result-filename results.jsonl --profile
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"""
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import argparse
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