Enhance the test case for chunked prefill (#1785)
This commit is contained in:
30
.github/workflows/pr-test.yml
vendored
30
.github/workflows/pr-test.yml
vendored
@@ -33,7 +33,7 @@ jobs:
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pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.4/ --force-reinstall
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pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.4/ --force-reinstall
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- name: Run test
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- name: Run test
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timeout-minutes: 20
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timeout-minutes: 10
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run: |
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run: |
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cd test/lang
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cd test/lang
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python3 run_suite.py --suite minimal
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python3 run_suite.py --suite minimal
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@@ -73,7 +73,7 @@ jobs:
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pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.4/ --force-reinstall
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pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.4/ --force-reinstall
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- name: Run test
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- name: Run test
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timeout-minutes: 30
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timeout-minutes: 20
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run: |
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run: |
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cd test/srt
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cd test/srt
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python3 run_suite.py --suite minimal --range-begin 5 --range-end 17
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python3 run_suite.py --suite minimal --range-begin 5 --range-end 17
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@@ -93,10 +93,30 @@ jobs:
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pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.4/ --force-reinstall
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pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.4/ --force-reinstall
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- name: Run test
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- name: Run test
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timeout-minutes: 30
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timeout-minutes: 20
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run: |
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run: |
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cd test/srt
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cd test/srt
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python3 run_suite.py --suite minimal --range-begin 17
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python3 run_suite.py --suite minimal --range-begin 17 --range-end 20
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unit-test-backend-part-4:
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if: github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request'
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runs-on: 1-gpu-runner
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steps:
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- name: Checkout code
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uses: actions/checkout@v3
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- name: Install dependencies
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run: |
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pip install --upgrade pip
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pip install -e "python[dev]"
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pip install transformers==4.45.2
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pip install flashinfer -i https://flashinfer.ai/whl/cu121/torch2.4/ --force-reinstall
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- name: Run test
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timeout-minutes: 20
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run: |
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cd test/srt
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python3 run_suite.py --suite minimal --range-begin 20
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performance-test-1-gpu-part-1:
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performance-test-1-gpu-part-1:
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if: github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request'
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if: github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request'
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@@ -263,7 +283,7 @@ jobs:
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finish:
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finish:
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needs: [
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needs: [
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unit-test-frontend, unit-test-backend-part-1, unit-test-backend-part-2, unit-test-backend-part-3,
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unit-test-frontend, unit-test-backend-part-1, unit-test-backend-part-2, unit-test-backend-part-3, unit-test-backend-part-4,
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performance-test-1-gpu-part-1, performance-test-1-gpu-part-2, performance-test-2-gpu,
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performance-test-1-gpu-part-1, performance-test-1-gpu-part-2, performance-test-2-gpu,
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accuracy-test-1-gpu, accuracy-test-2-gpu
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accuracy-test-1-gpu, accuracy-test-2-gpu
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]
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]
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@@ -3,6 +3,7 @@
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import argparse
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import argparse
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import asyncio
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import asyncio
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import os
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import os
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import random
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import subprocess
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import subprocess
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import threading
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import threading
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import time
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import time
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@@ -20,6 +21,7 @@ from sglang.global_config import global_config
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from sglang.lang.backend.openai import OpenAI
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from sglang.lang.backend.openai import OpenAI
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from sglang.lang.backend.runtime_endpoint import RuntimeEndpoint
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from sglang.lang.backend.runtime_endpoint import RuntimeEndpoint
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from sglang.srt.utils import kill_child_process
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from sglang.srt.utils import kill_child_process
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from sglang.test.run_eval import run_eval
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from sglang.utils import get_exception_traceback
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from sglang.utils import get_exception_traceback
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DEFAULT_FP8_MODEL_NAME_FOR_TEST = "neuralmagic/Meta-Llama-3.1-8B-FP8"
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DEFAULT_FP8_MODEL_NAME_FOR_TEST = "neuralmagic/Meta-Llama-3.1-8B-FP8"
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@@ -400,7 +402,7 @@ def popen_launch_server(
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api_key: Optional[str] = None,
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api_key: Optional[str] = None,
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other_args: tuple = (),
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other_args: tuple = (),
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env: Optional[dict] = None,
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env: Optional[dict] = None,
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return_stdout_stderr: bool = False,
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return_stdout_stderr: Optional[tuple] = None,
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):
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):
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_, host, port = base_url.split(":")
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_, host, port = base_url.split(":")
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host = host[2:]
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host = host[2:]
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@@ -423,8 +425,8 @@ def popen_launch_server(
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if return_stdout_stderr:
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if return_stdout_stderr:
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process = subprocess.Popen(
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process = subprocess.Popen(
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command,
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command,
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stdout=subprocess.PIPE,
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stdout=return_stdout_stderr[0],
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stderr=subprocess.PIPE,
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stderr=return_stdout_stderr[1],
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env=env,
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env=env,
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text=True,
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text=True,
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)
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)
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@@ -631,3 +633,91 @@ def calculate_rouge_l(output_strs_list1, output_strs_list2):
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rouge_l_scores.append(fmeasure)
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rouge_l_scores.append(fmeasure)
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return rouge_l_scores
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return rouge_l_scores
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STDOUT_FILENAME = "stdout.txt"
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STDERR_FILENAME = "stderr.txt"
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def read_output(output_lines):
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pt = 0
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while pt >= 0:
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if pt > 0 and os.path.exists(STDERR_FILENAME):
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break
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lines = open(STDERR_FILENAME).readlines()
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output_lines[:] = lines
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for line in lines[pt:]:
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print(line, end="", flush=True)
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pt += 1
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def run_mmlu_test(
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disable_radix_cache,
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enable_mixed_chunk=False,
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enable_overlap=False,
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chunked_prefill_size=32,
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):
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other_args = ["--chunked-prefill-size", str(chunked_prefill_size)]
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if disable_radix_cache:
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other_args += ["--disable-radix-cache"]
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if enable_mixed_chunk:
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other_args += ["--enable-mixed-chunk"]
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if enable_overlap:
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other_args += ["--enable-overlap-scheduler"]
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model = DEFAULT_MODEL_NAME_FOR_TEST
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port = random.randint(4000, 5000)
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base_url = f"http://127.0.0.1:{port}"
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# Create files and launch the server
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stdout = open(STDOUT_FILENAME, "w")
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stderr = open(STDERR_FILENAME, "w")
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process = popen_launch_server(
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model,
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base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=other_args,
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return_stdout_stderr=(stdout, stderr),
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)
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# Launch a thread to stream the output
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output_lines = []
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t = threading.Thread(target=read_output, args=(output_lines,))
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t.start()
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# Run the eval
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args = SimpleNamespace(
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base_url=base_url,
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model=model,
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eval_name="mmlu",
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num_examples=128,
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num_threads=128,
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)
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try:
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metrics = run_eval(args)
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print(f"{metrics=}")
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assert metrics["score"] >= 0.65
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finally:
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pass
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# Clean up everything
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kill_child_process(process.pid)
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kill_child_process(process.pid)
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stdout.close()
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stderr.close()
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os.remove(STDOUT_FILENAME)
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os.remove(STDERR_FILENAME)
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t.join()
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# Assert success
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has_new_server = False
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has_leak = False
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for line in output_lines:
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if "The server is fired" in line:
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has_new_server = True
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if "leak" in line:
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has_leak = True
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assert has_new_server
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# assert not has_leak
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@@ -15,7 +15,7 @@ suites = {
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"test_embedding_openai_server.py",
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"test_embedding_openai_server.py",
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"test_eval_accuracy_mini.py",
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"test_eval_accuracy_mini.py",
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"test_json_constrained.py",
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"test_json_constrained.py",
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# "test_large_max_new_tokens.py", # This test hangs on CI due to unknown reasons
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"test_large_max_new_tokens.py",
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"test_openai_server.py",
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"test_openai_server.py",
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"test_overlap_schedule.py",
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"test_overlap_schedule.py",
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"test_pytorch_sampling_backend.py",
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"test_pytorch_sampling_backend.py",
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@@ -1,65 +1,31 @@
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import unittest
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"""
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from types import SimpleNamespace
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python3 -m unittest test_chunked_prefill.TestChunkedPrefill.test_mixed_chunked_prefill_without_radix_cache
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"""
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import unittest
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from sglang.srt.utils import kill_child_process
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from sglang.test.run_eval import run_eval
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from sglang.test.test_utils import (
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from sglang.test.test_utils import (
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DEFAULT_MODEL_NAME_FOR_TEST,
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DEFAULT_MODEL_NAME_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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popen_launch_server,
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run_bench_serving,
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run_bench_serving,
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run_mmlu_test,
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)
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)
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class TestChunkedPrefill(unittest.TestCase):
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class TestChunkedPrefill(unittest.TestCase):
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def run_mmlu(
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self, disable_radix_cache, enable_mixed_chunk, chunked_prefill_size=32
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):
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other_args = ["--chunked-prefill-size", str(chunked_prefill_size)]
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if disable_radix_cache:
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other_args += ["--disable-radix-cache"]
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if enable_mixed_chunk:
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other_args += ["--enable-mixed-chunk"]
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model = DEFAULT_MODEL_NAME_FOR_TEST
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base_url = DEFAULT_URL_FOR_TEST
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process = popen_launch_server(
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model,
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base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=other_args,
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)
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args = SimpleNamespace(
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base_url=base_url,
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model=model,
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eval_name="mmlu",
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num_examples=64,
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num_threads=32,
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)
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try:
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metrics = run_eval(args)
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assert metrics["score"] >= 0.65
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finally:
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kill_child_process(process.pid)
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def test_chunked_prefill(self):
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def test_chunked_prefill(self):
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self.run_mmlu(disable_radix_cache=False, enable_mixed_chunk=False)
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run_mmlu_test(disable_radix_cache=False, enable_mixed_chunk=False)
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|
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def test_mixed_chunked_prefill(self):
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def test_mixed_chunked_prefill(self):
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self.run_mmlu(disable_radix_cache=False, enable_mixed_chunk=True)
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run_mmlu_test(disable_radix_cache=False, enable_mixed_chunk=True)
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|
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def test_chunked_prefill_without_radix_cache(self):
|
def test_chunked_prefill_without_radix_cache(self):
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self.run_mmlu(disable_radix_cache=True, enable_mixed_chunk=False)
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run_mmlu_test(disable_radix_cache=True, enable_mixed_chunk=False)
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|
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def test_mixed_chunked_prefill_without_radix_cache(self):
|
def test_mixed_chunked_prefill_without_radix_cache(self):
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self.run_mmlu(disable_radix_cache=True, enable_mixed_chunk=True)
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run_mmlu_test(disable_radix_cache=True, enable_mixed_chunk=True)
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|
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def test_no_chunked_prefill(self):
|
def test_no_chunked_prefill(self):
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self.run_mmlu(
|
run_mmlu_test(
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disable_radix_cache=False, enable_mixed_chunk=False, chunked_prefill_size=-1
|
disable_radix_cache=False, enable_mixed_chunk=False, chunked_prefill_size=-1
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)
|
)
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|
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@@ -1,3 +1,7 @@
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|
"""
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|
python3 -m unittest test_large_max_new_tokens.TestLargeMaxNewTokens.test_chat_completion
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|
"""
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|
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import os
|
import os
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import unittest
|
import unittest
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from concurrent.futures import ThreadPoolExecutor
|
from concurrent.futures import ThreadPoolExecutor
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@@ -20,6 +24,10 @@ class TestLargeMaxNewTokens(unittest.TestCase):
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST
|
cls.model = DEFAULT_MODEL_NAME_FOR_TEST
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cls.base_url = DEFAULT_URL_FOR_TEST
|
cls.base_url = DEFAULT_URL_FOR_TEST
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cls.api_key = "sk-123456"
|
cls.api_key = "sk-123456"
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|
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|
cls.stdout = open("stdout.txt", "w")
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|
cls.stderr = open("stderr.txt", "w")
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|
|
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cls.process = popen_launch_server(
|
cls.process = popen_launch_server(
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cls.model,
|
cls.model,
|
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cls.base_url,
|
cls.base_url,
|
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@@ -27,7 +35,7 @@ class TestLargeMaxNewTokens(unittest.TestCase):
|
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api_key=cls.api_key,
|
api_key=cls.api_key,
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other_args=("--max-total-token", "1024", "--context-len", "8192"),
|
other_args=("--max-total-token", "1024", "--context-len", "8192"),
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env={"SGLANG_CLIP_MAX_NEW_TOKENS": "256", **os.environ},
|
env={"SGLANG_CLIP_MAX_NEW_TOKENS": "256", **os.environ},
|
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return_stdout_stderr=True,
|
return_stdout_stderr=(cls.stdout, cls.stderr),
|
||||||
)
|
)
|
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cls.base_url += "/v1"
|
cls.base_url += "/v1"
|
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cls.tokenizer = get_tokenizer(DEFAULT_MODEL_NAME_FOR_TEST)
|
cls.tokenizer = get_tokenizer(DEFAULT_MODEL_NAME_FOR_TEST)
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@@ -35,6 +43,10 @@ class TestLargeMaxNewTokens(unittest.TestCase):
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@classmethod
|
@classmethod
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def tearDownClass(cls):
|
def tearDownClass(cls):
|
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kill_child_process(cls.process.pid)
|
kill_child_process(cls.process.pid)
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|
cls.stdout.close()
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|
cls.stderr.close()
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|
os.remove("stdout.txt")
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|
os.remove("stderr.txt")
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|
|
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def run_chat_completion(self):
|
def run_chat_completion(self):
|
||||||
client = openai.Client(api_key=self.api_key, base_url=self.base_url)
|
client = openai.Client(api_key=self.api_key, base_url=self.base_url)
|
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@@ -56,16 +68,21 @@ class TestLargeMaxNewTokens(unittest.TestCase):
|
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|
|
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futures = []
|
futures = []
|
||||||
with ThreadPoolExecutor(num_requests) as executor:
|
with ThreadPoolExecutor(num_requests) as executor:
|
||||||
|
# Send multiple requests
|
||||||
for i in range(num_requests):
|
for i in range(num_requests):
|
||||||
futures.append(executor.submit(self.run_chat_completion))
|
futures.append(executor.submit(self.run_chat_completion))
|
||||||
|
|
||||||
all_requests_running = False
|
# Ensure that they are running concurrently
|
||||||
for line in iter(self.process.stderr.readline, ""):
|
pt = 0
|
||||||
line = str(line)
|
while pt >= 0:
|
||||||
print(line, end="")
|
lines = open("stderr.txt").readlines()
|
||||||
if f"#running-req: {num_requests}" in line:
|
for line in lines[pt:]:
|
||||||
all_requests_running = True
|
print(line, end="", flush=True)
|
||||||
break
|
if f"#running-req: {num_requests}" in line:
|
||||||
|
all_requests_running = True
|
||||||
|
pt = -1
|
||||||
|
break
|
||||||
|
pt += 1
|
||||||
|
|
||||||
assert all_requests_running
|
assert all_requests_running
|
||||||
|
|
||||||
|
|||||||
@@ -1,65 +1,27 @@
|
|||||||
"""
|
"""
|
||||||
Usage:
|
Usage:
|
||||||
SGLANG_IS_IN_CI=true python3 -m unittest test_overlap_schedule.TestOverlapSchedule.test_radix_attention_chunked_prefill
|
python3 -m unittest test_overlap_schedule.TestOverlapSchedule.test_radix_attention_chunked_prefill
|
||||||
SGLANG_IS_IN_CI=true python3 test_overlap_schedule.py
|
python3 test_overlap_schedule.py
|
||||||
"""
|
"""
|
||||||
|
|
||||||
import unittest
|
import unittest
|
||||||
from types import SimpleNamespace
|
|
||||||
|
|
||||||
from sglang.srt.utils import kill_child_process
|
from sglang.test.test_utils import run_mmlu_test
|
||||||
from sglang.test.run_eval import run_eval
|
|
||||||
from sglang.test.test_utils import (
|
|
||||||
DEFAULT_MODEL_NAME_FOR_TEST,
|
|
||||||
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
||||||
DEFAULT_URL_FOR_TEST,
|
|
||||||
popen_launch_server,
|
|
||||||
)
|
|
||||||
|
|
||||||
|
|
||||||
class TestOverlapSchedule(unittest.TestCase):
|
class TestOverlapSchedule(unittest.TestCase):
|
||||||
def run_mmlu(self, disable_radix_cache, chunked_prefill_size=32):
|
|
||||||
other_args = ["--chunked-prefill-size", str(chunked_prefill_size)]
|
|
||||||
if disable_radix_cache:
|
|
||||||
other_args += ["--disable-radix-cache"]
|
|
||||||
other_args += ["--enable-overlap-schedule"]
|
|
||||||
|
|
||||||
model = DEFAULT_MODEL_NAME_FOR_TEST
|
|
||||||
base_url = DEFAULT_URL_FOR_TEST
|
|
||||||
process = popen_launch_server(
|
|
||||||
model,
|
|
||||||
base_url,
|
|
||||||
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
|
|
||||||
other_args=other_args,
|
|
||||||
)
|
|
||||||
|
|
||||||
args = SimpleNamespace(
|
|
||||||
base_url=base_url,
|
|
||||||
model=model,
|
|
||||||
eval_name="mmlu",
|
|
||||||
num_examples=64,
|
|
||||||
num_threads=32,
|
|
||||||
)
|
|
||||||
|
|
||||||
try:
|
|
||||||
metrics = run_eval(args)
|
|
||||||
assert metrics["score"] >= 0.65
|
|
||||||
finally:
|
|
||||||
kill_child_process(process.pid)
|
|
||||||
|
|
||||||
def test_no_radix_attention_chunked_prefill(self):
|
def test_no_radix_attention_chunked_prefill(self):
|
||||||
self.run_mmlu(disable_radix_cache=True, chunked_prefill_size=32)
|
run_mmlu_test(disable_radix_cache=True, chunked_prefill_size=32)
|
||||||
|
|
||||||
def test_no_radix_attention_no_chunked_prefill(self):
|
def test_no_radix_attention_no_chunked_prefill(self):
|
||||||
self.run_mmlu(disable_radix_cache=True, chunked_prefill_size=-1)
|
run_mmlu_test(disable_radix_cache=True, chunked_prefill_size=-1)
|
||||||
|
|
||||||
def test_radix_attention_chunked_prefill(self):
|
def test_radix_attention_chunked_prefill(self):
|
||||||
self.run_mmlu(disable_radix_cache=False, chunked_prefill_size=32)
|
run_mmlu_test(disable_radix_cache=False, chunked_prefill_size=32)
|
||||||
|
|
||||||
def test_radix_attention_no_chunked_prefill(self):
|
def test_radix_attention_no_chunked_prefill(self):
|
||||||
self.run_mmlu(disable_radix_cache=False, chunked_prefill_size=-1)
|
run_mmlu_test(disable_radix_cache=False, chunked_prefill_size=-1)
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
if __name__ == "__main__":
|
||||||
unittest.main()
|
unittest.main()
|
||||||
# @unittest.skip("did not support")
|
|
||||||
|
|||||||
Reference in New Issue
Block a user