mirror of https://github.com/vllm-project/vllm.git
104 lines
6.4 KiB
Python
104 lines
6.4 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""
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Demonstration script for Automatic Prefix Caching (APC) in vLLM.
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Automatic Prefix Caching (APC) allows the vLLM engine to reuse cached
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KV (key-value) pairs from previous prompts if a new query shares the same
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prefix. This reduces redundant computation and improves inference speed.
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To enable APC, set `enable_prefix_caching=True` when initializing the
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vLLM engine.
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This script uses a long Markdown table as the shared prompt prefix and
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compares the generation time for two queries that share the same prefix
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but ask different questions.
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Run:
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python examples/offline_inference/automatic_prefix_caching.py
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"""
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import time
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from vllm import LLM, SamplingParams
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# ruff: noqa: E501
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# A prompt containing a large markdown table. The table is randomly generated by GPT-4.
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LONG_PROMPT = (
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"You are a helpful assistant in recognizes the content of tables in markdown format. Here is a table as follows.\n# Table\n"
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+ """
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| ID | Name | Age | Occupation | Country | Email | Phone Number | Address |
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|-----|---------------|-----|---------------|---------------|------------------------|----------------|------------------------------|
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| 1 | John Doe | 29 | Engineer | USA | john.doe@example.com | 555-1234 | 123 Elm St, Springfield, IL |
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| 2 | Jane Smith | 34 | Doctor | Canada | jane.smith@example.com | 555-5678 | 456 Oak St, Toronto, ON |
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| 3 | Alice Johnson | 27 | Teacher | UK | alice.j@example.com | 555-8765 | 789 Pine St, London, UK |
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| 4 | Bob Brown | 45 | Artist | Australia | bob.b@example.com | 555-4321 | 321 Maple St, Sydney, NSW |
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| 5 | Carol White | 31 | Scientist | New Zealand | carol.w@example.com | 555-6789 | 654 Birch St, Wellington, NZ |
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| 6 | Dave Green | 28 | Lawyer | Ireland | dave.g@example.com | 555-3456 | 987 Cedar St, Dublin, IE |
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| 7 | Emma Black | 40 | Musician | USA | emma.b@example.com | 555-1111 | 246 Ash St, New York, NY |
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| 8 | Frank Blue | 37 | Chef | Canada | frank.b@example.com | 555-2222 | 135 Spruce St, Vancouver, BC |
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| 9 | Grace Yellow | 50 | Engineer | UK | grace.y@example.com | 555-3333 | 864 Fir St, Manchester, UK |
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| 10 | Henry Violet | 32 | Artist | Australia | henry.v@example.com | 555-4444 | 753 Willow St, Melbourne, VIC|
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| 11 | Irene Orange | 26 | Scientist | New Zealand | irene.o@example.com | 555-5555 | 912 Poplar St, Auckland, NZ |
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| 12 | Jack Indigo | 38 | Teacher | Ireland | jack.i@example.com | 555-6666 | 159 Elm St, Cork, IE |
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| 13 | Karen Red | 41 | Lawyer | USA | karen.r@example.com | 555-7777 | 357 Cedar St, Boston, MA |
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| 14 | Leo Brown | 30 | Chef | Canada | leo.b@example.com | 555-8888 | 246 Oak St, Calgary, AB |
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| 15 | Mia Green | 33 | Musician | UK | mia.g@example.com | 555-9999 | 975 Pine St, Edinburgh, UK |
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| 16 | Noah Yellow | 29 | Doctor | Australia | noah.y@example.com | 555-0000 | 864 Birch St, Brisbane, QLD |
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| 17 | Olivia Blue | 35 | Engineer | New Zealand | olivia.b@example.com | 555-1212 | 753 Maple St, Hamilton, NZ |
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| 18 | Peter Black | 42 | Artist | Ireland | peter.b@example.com | 555-3434 | 912 Fir St, Limerick, IE |
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| 19 | Quinn White | 28 | Scientist | USA | quinn.w@example.com | 555-5656 | 159 Willow St, Seattle, WA |
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| 20 | Rachel Red | 31 | Teacher | Canada | rachel.r@example.com | 555-7878 | 357 Poplar St, Ottawa, ON |
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| 21 | Steve Green | 44 | Lawyer | UK | steve.g@example.com | 555-9090 | 753 Elm St, Birmingham, UK |
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| 22 | Tina Blue | 36 | Musician | Australia | tina.b@example.com | 555-1213 | 864 Cedar St, Perth, WA |
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| 23 | Umar Black | 39 | Chef | New Zealand | umar.b@example.com | 555-3435 | 975 Spruce St, Christchurch, NZ|
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| 24 | Victor Yellow | 43 | Engineer | Ireland | victor.y@example.com | 555-5657 | 246 Willow St, Galway, IE |
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| 25 | Wendy Orange | 27 | Artist | USA | wendy.o@example.com | 555-7879 | 135 Elm St, Denver, CO |
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| 26 | Xavier Green | 34 | Scientist | Canada | xavier.g@example.com | 555-9091 | 357 Oak St, Montreal, QC |
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| 27 | Yara Red | 41 | Teacher | UK | yara.r@example.com | 555-1214 | 975 Pine St, Leeds, UK |
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| 28 | Zack Blue | 30 | Lawyer | Australia | zack.b@example.com | 555-3436 | 135 Birch St, Adelaide, SA |
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| 29 | Amy White | 33 | Musician | New Zealand | amy.w@example.com | 555-5658 | 159 Maple St, Wellington, NZ |
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| 30 | Ben Black | 38 | Chef | Ireland | ben.b@example.com | 555-7870 | 246 Fir St, Waterford, IE |
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"""
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)
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def get_generation_time(llm, sampling_params, prompts):
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# time the generation
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start_time = time.time()
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output = llm.generate(prompts, sampling_params=sampling_params)
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end_time = time.time()
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# print the output and generation time
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print("-" * 30)
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print(f"Output: {output[0].outputs[0].text}")
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print(f"Generation time: {end_time - start_time} seconds.")
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print("-" * 30)
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def main():
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# set enable_prefix_caching=True to enable APC
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llm = LLM(model="lmsys/longchat-13b-16k", enable_prefix_caching=True)
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sampling_params = SamplingParams(temperature=0, max_tokens=100)
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# Querying the age of John Doe
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get_generation_time(
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llm,
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sampling_params,
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LONG_PROMPT
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+ "Question: what is the age of John Doe? Your answer: The age of John Doe is ",
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)
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# Querying the age of Zack Blue
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# This query will be faster since vllm avoids computing the KV cache of LONG_PROMPT again.
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get_generation_time(
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llm,
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sampling_params,
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LONG_PROMPT
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+ "Question: what is the age of Zack Blue? Your answer: The age of Zack Blue is ",
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)
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if __name__ == "__main__":
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main()
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