Fix memory leak during abort (#2238)
This commit is contained in:
8
.github/workflows/pr-test.yml
vendored
8
.github/workflows/pr-test.yml
vendored
@@ -50,7 +50,7 @@ jobs:
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timeout-minutes: 25
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run: |
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cd test/srt
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python3 run_suite.py --suite minimal --range-begin 0 --range-end 5
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python3 run_suite.py --suite minimal --range-begin 0 --range-end 6
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unit-test-backend-part-2:
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if: github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request'
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@@ -67,7 +67,7 @@ jobs:
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timeout-minutes: 25
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run: |
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cd test/srt
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python3 run_suite.py --suite minimal --range-begin 5 --range-end 14
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python3 run_suite.py --suite minimal --range-begin 6 --range-end 15
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unit-test-backend-part-3:
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if: github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request'
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@@ -84,7 +84,7 @@ jobs:
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timeout-minutes: 25
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run: |
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cd test/srt
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python3 run_suite.py --suite minimal --range-begin 14 --range-end 23
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python3 run_suite.py --suite minimal --range-begin 15 --range-end 24
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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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@@ -101,7 +101,7 @@ jobs:
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timeout-minutes: 25
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run: |
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cd test/srt
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python3 run_suite.py --suite minimal --range-begin 23
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python3 run_suite.py --suite minimal --range-begin 24
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unit-test-backend-2-gpu-part-1:
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if: github.repository == 'sgl-project/sglang' || github.event_name == 'pull_request'
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@@ -231,6 +231,7 @@ class Req:
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self.tokenizer = None
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self.finished_reason = None
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self.stream = False
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self.to_abort = False
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# For incremental decoding
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# ----- | --------- read_ids -------|
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@@ -368,6 +369,10 @@ class Req:
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if self.finished():
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return
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if self.to_abort:
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self.finished_reason = FINISH_ABORT()
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return
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if len(self.output_ids) >= self.sampling_params.max_new_tokens:
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self.finished_reason = FINISH_LENGTH(
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length=self.sampling_params.max_new_tokens
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@@ -579,6 +579,8 @@ class Scheduler:
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"Image request length is longer than the KV cache pool size or "
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"the max context length aborting because you cannot truncate the image embeds"
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)
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req.image_inputs = None
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req.origin_input_ids = [0]
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req.sampling_params.max_new_tokens = 0
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self.waiting_queue.append(req)
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return
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@@ -1350,13 +1352,15 @@ class Scheduler:
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if to_del is not None:
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del self.waiting_queue[to_del]
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logger.debug(f"Abort queued request. {req.rid=}")
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return
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# Delete requests in the running batch
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if self.running_batch:
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for req in self.running_batch.reqs:
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if req.rid == recv_req.rid and not req.finished():
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req.finished_reason = FINISH_ABORT()
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self.tree_cache.cache_finished_req(req)
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logger.debug(f"Abort running request. {req.rid=}")
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req.to_abort = True
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break
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def update_weights(self, recv_req: UpdateWeightReqInput):
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@@ -677,8 +677,14 @@ def run_and_check_memory_leak(
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enable_mixed_chunk,
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disable_overlap,
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chunked_prefill_size,
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assert_has_abort,
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):
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other_args = ["--chunked-prefill-size", str(chunked_prefill_size)]
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other_args = [
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"--chunked-prefill-size",
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str(chunked_prefill_size),
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"--log-level",
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"debug",
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]
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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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@@ -723,14 +729,19 @@ def run_and_check_memory_leak(
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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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has_abort = 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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if "Abort" in line:
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has_abort = True
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assert has_new_server
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assert not has_leak
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if assert_has_abort:
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assert has_abort
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def run_mmlu_test(
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@@ -761,6 +772,7 @@ def run_mmlu_test(
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enable_mixed_chunk,
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disable_overlap,
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chunked_prefill_size,
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assert_has_abort=False,
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)
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@@ -800,4 +812,5 @@ def run_mulit_request_test(
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enable_mixed_chunk,
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enable_overlap,
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chunked_prefill_size,
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assert_has_abort=False,
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)
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@@ -10,6 +10,7 @@ suites = {
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"models/test_lora.py",
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"models/test_reward_models.py",
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"sampling/penaltylib",
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"test_abort.py",
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"test_chunked_prefill.py",
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"test_double_sparsity.py",
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"test_embedding_openai_server.py",
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54
test/srt/test_abort.py
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54
test/srt/test_abort.py
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@@ -0,0 +1,54 @@
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import multiprocessing
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import time
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import unittest
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from concurrent.futures import ThreadPoolExecutor
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import requests
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from sglang.test.test_utils import run_and_check_memory_leak
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class TestAbort(unittest.TestCase):
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def workload_func(self, base_url, model):
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def process_func():
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def run_one(_):
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prompt = """
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System: You are a helpful assistant.
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User: What is the capital of France?
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Assistant: The capital of France is
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"""
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response = requests.post(
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f"{base_url}/generate",
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json={
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"text": prompt,
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 2048,
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},
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},
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)
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ret = response.json()
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with ThreadPoolExecutor(16) as executor:
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list(executor.map(run_one, list(range(16))))
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p = multiprocessing.Process(target=process_func)
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p.start()
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time.sleep(0.5)
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p.terminate()
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time.sleep(10)
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def test_memory_leak(self):
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run_and_check_memory_leak(
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self.workload_func,
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disable_radix_cache=False,
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enable_mixed_chunk=False,
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disable_overlap=False,
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chunked_prefill_size=8192,
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assert_has_abort=True,
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)
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if __name__ == "__main__":
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unittest.main()
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