[CI] Add PD Disaggregation aarch64 test (#16572)
Signed-off-by: Shangming Cai <csmthu@gmail.com>
This commit is contained in:
@@ -273,6 +273,7 @@ RUN --mount=type=cache,target=/root/.cache/pip \
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RUN --mount=type=cache,target=/root/.cache/pip \
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python3 -m pip install \
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datamodel_code_generator \
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mooncake-transfer-engine==0.3.8.post1 \
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pre-commit \
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pytest \
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black \
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@@ -286,14 +287,6 @@ RUN --mount=type=cache,target=/root/.cache/pip \
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cubloaty \
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google-cloud-storage
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# Install mooncake
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RUN --mount=type=cache,target=/root/.cache/pip \
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if [ "$GRACE_BLACKWELL" = "1" ]; then \
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python3 -m pip install mooncake-transfer-engine==0.3.7.post2; \
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else \
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python3 -m pip install mooncake-transfer-engine==0.3.8.post1; \
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fi
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# Build and install sgl-model-gateway (install Rust, build, then remove to save space)
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RUN --mount=type=cache,target=/root/.cache/pip \
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curl --proto '=https' --tlsv1.2 --retry 3 --retry-delay 2 -sSf https://sh.rustup.rs | sh -s -- -y \
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@@ -41,6 +41,7 @@ suites = {
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# ],
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"per-commit-4-gpu-gb200": [
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TestFile("test_deepseek_v3_cutedsl_4gpu.py", 1800),
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TestFile("test_disaggregation_aarch64.py", 300),
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],
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"per-commit-4-gpu-deepep": [
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TestFile("ep/test_deepep_small.py", 531),
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93
test/srt/test_disaggregation_aarch64.py
Normal file
93
test/srt/test_disaggregation_aarch64.py
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@@ -0,0 +1,93 @@
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import os
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import unittest
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from types import SimpleNamespace
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from sglang.test.few_shot_gsm8k import run_eval as run_eval_few_shot_gsm8k
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from sglang.test.server_fixtures.disaggregation_fixture import (
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PDDisaggregationServerBase,
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)
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from sglang.test.test_utils import (
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DEFAULT_MODEL_NAME_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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popen_launch_pd_server,
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)
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class TestDisaggregationMooncakeAARCH64Accuracy(PDDisaggregationServerBase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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os.environ["SGLANG_MOONCAKE_CUSTOM_MEM_POOL"] = "true"
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os.environ["MC_FORCE_MNNVL"] = "true"
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cls.model = DEFAULT_MODEL_NAME_FOR_TEST
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# Non blocking start servers
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cls.start_prefill()
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cls.start_decode()
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# Block until both
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cls.wait_server_ready(cls.prefill_url + "/health")
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cls.wait_server_ready(cls.decode_url + "/health")
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cls.launch_lb()
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@classmethod
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def tearDownClass(cls):
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os.environ.pop("SGLANG_MOONCAKE_CUSTOM_MEM_POOL")
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os.environ.pop("MC_FORCE_MNNVL")
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super().tearDownClass()
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@classmethod
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def start_prefill(cls):
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prefill_args = [
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"--trust-remote-code",
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"--disaggregation-mode",
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"prefill",
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"--tp",
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"2",
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]
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prefill_args += cls.transfer_backend + cls.rdma_devices
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cls.process_prefill = popen_launch_pd_server(
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cls.model,
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cls.prefill_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=prefill_args,
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)
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@classmethod
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def start_decode(cls):
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decode_args = [
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"--trust-remote-code",
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"--disaggregation-mode",
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"decode",
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"--tp",
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"2",
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"--base-gpu-id",
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"2",
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]
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decode_args += cls.transfer_backend + cls.rdma_devices
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cls.process_decode = popen_launch_pd_server(
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cls.model,
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cls.decode_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=decode_args,
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)
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def test_gsm8k(self):
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args = SimpleNamespace(
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num_shots=5,
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data_path=None,
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num_questions=200,
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max_new_tokens=512,
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parallel=128,
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host=f"http://{self.base_host}",
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port=int(self.lb_port),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"Evaluation metrics: {metrics}")
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self.assertGreater(metrics["accuracy"], 0.62)
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if __name__ == "__main__":
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unittest.main()
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