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https://github.com/vllm-project/vllm-ascend.git
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787010a637
V1 is enabled by default, no need to set it by hand now. This PR remove
the useless setting in example and tests
- vLLM version: v0.9.2
- vLLM main:
9ad0a4588b
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
147 lines
8.3 KiB
Python
147 lines
8.3 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""Compare the with and without prefix caching on V1 scheduler or AscendScheduler."""
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import pytest
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from tests.e2e.conftest import VllmRunner
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from tests.e2e.model_utils import check_outputs_equal
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MODELS = [
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# for MHA
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"Qwen/Qwen3-8B-Base",
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# for MLA
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"deepseek-ai/DeepSeek-V2-Lite-Chat"
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]
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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 = "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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| 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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INPUT_PROMPTS = [
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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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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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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("max_tokens", [50])
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def test_prefix_cache_with_v1_scheduler(model: str, max_tokens: int) -> None:
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with VllmRunner(model,
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enforce_eager=True,
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max_model_len=2048,
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tensor_parallel_size=2,
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gpu_memory_utilization=0.7) as vllm_model:
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prefix_cache_output = vllm_model.generate_greedy(
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INPUT_PROMPTS, max_tokens)
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with VllmRunner(model,
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enable_prefix_caching=False,
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enforce_eager=True,
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max_model_len=2048,
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tensor_parallel_size=2,
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gpu_memory_utilization=0.7) as vllm_model:
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vllm_output = vllm_model.generate_greedy(INPUT_PROMPTS, max_tokens)
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check_outputs_equal(
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outputs_0_lst=vllm_output,
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outputs_1_lst=prefix_cache_output,
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name_0="vllm_output",
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name_1="prefix_cache_output",
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)
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@pytest.mark.parametrize("model", MODELS)
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@pytest.mark.parametrize("max_tokens", [50])
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def test_prefix_cache_with_ascend_scheduler(model: str,
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max_tokens: int) -> None:
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with VllmRunner(model,
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additional_config={
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'ascend_scheduler_config': {
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'enabled': True,
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},
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},
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enforce_eager=True,
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max_model_len=2048,
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tensor_parallel_size=2,
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gpu_memory_utilization=0.7) as vllm_model:
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vllm_output = vllm_model.generate_greedy(INPUT_PROMPTS, max_tokens)
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with VllmRunner(model,
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additional_config={
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'ascend_scheduler_config': {
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'enabled': True,
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'enable_prefix_caching': True,
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},
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},
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enforce_eager=True,
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max_model_len=2048,
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tensor_parallel_size=2,
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gpu_memory_utilization=0.7) as vllm_model:
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prefix_cache_output = vllm_model.generate_greedy(
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INPUT_PROMPTS, max_tokens)
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with VllmRunner(model,
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additional_config={
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'ascend_scheduler_config': {
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'enabled': True,
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'enable_prefix_caching': True,
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"enable_chunked_prefill": True,
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},
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},
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enforce_eager=True,
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max_model_len=2048,
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tensor_parallel_size=2,
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gpu_memory_utilization=0.7) as vllm_model:
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chunk_prefill_prefix_cache_output = vllm_model.generate_greedy(
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INPUT_PROMPTS, max_tokens)
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check_outputs_equal(
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outputs_0_lst=vllm_output,
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outputs_1_lst=prefix_cache_output,
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name_0="vllm_output",
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name_1="prefix_cache_output",
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)
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check_outputs_equal(
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outputs_0_lst=chunk_prefill_prefix_cache_output,
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outputs_1_lst=prefix_cache_output,
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name_0="chunk_prefill_prefix_cache_output",
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name_1="prefix_cache_output",
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)
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