292 lines
8.6 KiB
Python
292 lines
8.6 KiB
Python
import os
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import time
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import unittest
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from types import SimpleNamespace
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from sglang.test.ci.ci_register import register_amd_ci
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from sglang.test.few_shot_gsm8k import run_eval
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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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try_cached_model,
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)
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register_amd_ci(est_time=600, suite="stage-b-test-large-8-gpu-35x-disaggregation-amd")
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class TestDisaggregationPrefillPPAccuracy(PDDisaggregationServerBase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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# set up ROCm env
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os.environ["SGLANG_USE_AITER"] = "1"
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rdma_env = os.environ.get("SGLANG_TEST_RDMA_DEVICE")
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if rdma_env:
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cls.rdma_devices = ["--disaggregation-ib-device", rdma_env]
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print(f"Found RDMA devices in env: {rdma_env}")
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else:
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print("SGLANG_TEST_RDMA_DEVICE is not set! Running without RDMA.")
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cls.rdma_devices = []
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cls.model = try_cached_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", process=cls.process_prefill)
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cls.wait_server_ready(cls.decode_url + "/health", process=cls.process_decode)
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cls.launch_lb()
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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-size",
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"2",
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"--pp-size",
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"2",
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"--disable-overlap-schedule",
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"--attention-backend",
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"aiter",
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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-size",
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"2",
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"--base-gpu-id",
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"4",
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"--attention-backend",
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"aiter",
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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(args)
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print(f"{metrics=}")
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self.assertGreater(metrics["accuracy"], 0.70)
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# Wait a little bit so that the memory check happens.
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time.sleep(5)
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# register_amd_ci(est_time=200, suite="stage-c-test-large-8-gpu-amd")
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class TestDisaggregationPrefillPPDynamicChunkAccuracy(PDDisaggregationServerBase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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# set up ROCm env
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os.environ["SGLANG_USE_AITER"] = "1"
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rdma_env = os.environ.get("SGLANG_TEST_RDMA_DEVICE")
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if rdma_env:
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cls.rdma_devices = ["--disaggregation-ib-device", rdma_env]
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print(f"Found RDMA devices in env: {rdma_env}")
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else:
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print("SGLANG_TEST_RDMA_DEVICE is not set! Running without RDMA.")
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cls.rdma_devices = []
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cls.model = try_cached_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", process=cls.process_prefill)
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cls.wait_server_ready(cls.decode_url + "/health", process=cls.process_decode)
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cls.launch_lb()
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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-size",
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"2",
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"--pp-size",
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"2",
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"--disable-overlap-schedule",
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"--enable-dynamic-chunking",
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"--attention-backend",
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"aiter",
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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-size",
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"2",
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"--base-gpu-id",
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"4",
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"--attention-backend",
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"aiter",
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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(args)
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print(f"{metrics=}")
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self.assertGreater(metrics["accuracy"], 0.70)
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# Wait a little bit so that the memory check happens.
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time.sleep(5)
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# register_amd_ci(est_time=200, suite="stage-c-test-large-8-gpu-amd")
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class TestDisaggregationDecodePPAccuracy(PDDisaggregationServerBase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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# set up ROCm env
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os.environ["SGLANG_USE_AITER"] = "1"
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rdma_env = os.environ.get("SGLANG_TEST_RDMA_DEVICE")
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if rdma_env:
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cls.rdma_devices = ["--disaggregation-ib-device", rdma_env]
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print(f"Found RDMA devices in env: {rdma_env}")
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else:
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print("SGLANG_TEST_RDMA_DEVICE is not set! Running without RDMA.")
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cls.rdma_devices = []
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cls.model = try_cached_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", process=cls.process_prefill)
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cls.wait_server_ready(cls.decode_url + "/health", process=cls.process_decode)
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cls.launch_lb()
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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-size",
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"2",
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"--pp-size",
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"2",
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"--disable-overlap-schedule",
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"--attention-backend",
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"aiter",
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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-size",
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"2",
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"--pp-size",
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"2",
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"--base-gpu-id",
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"4",
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"--attention-backend",
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"aiter",
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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(args)
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print(f"{metrics=}")
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self.assertGreater(metrics["accuracy"], 0.70)
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# Wait a little bit so that the memory check happens.
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time.sleep(5)
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if __name__ == "__main__":
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unittest.main()
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