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Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com> Signed-off-by: Zhanrui Sun <184402041+ZhanruiSunCh@users.noreply.github.com>
27 lines
1.3 KiB
Markdown
27 lines
1.3 KiB
Markdown
!!! WARNING: This is not intended for external users to benchmark the performance numbers of the TRT-LLM product.
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!!! This folder contains the benchmark script used internally to assistant TRT-LLM development.
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# build_time_benchmark
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```bash
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# example 1: offline benmark for all the built-in models, see --help for all the options
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python ./build_time_benchmark.py --model ALL
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# By default, the benmark don't load the weights to save benchmark time, load the weights to test the TRT-LLM load and convert time
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# WARNING: this can takes very long time if the model is large, or if you use a online HF model id since it can download the weights
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python ./build_time_benchmark.py --model ALL --load
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# example 2: benchmark a HF model model w/o downloading the model locally in advance
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python ./build_time_benchmark.py --model "TinyLlama/TinyLlama_v1.1" # no weights loading
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python ./build_time_benchmark.py --model "openai-community/gpt2" --load # with weights loading
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# example 3: benchmark a local download HF model
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python ./build_time_benchmark.py --model /home/scratch.trt_llm_data_ci/llm-models/falcon-rw-1b/
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# example 4: benchmark one model with managed weights option, with verbose option
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python ./build_time_benchmark.py --model llama2-70b.TP4 --managed_weights -v
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# example 5: see help
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python ./build_time_benchmark.py --help
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```
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