AMD PD/D PR ci (#17183)
Co-authored-by: YC Tseng <yctseng@amd.com> Co-authored-by: Bingxu Chen <bingxche@amd.com> Co-authored-by: bingxche <Bingxu.Chen@amd.com>
This commit is contained in:
Zhaoyi Li
co-authored by
YC Tseng
Bingxu Chen
bingxche
YC Tseng
Bingxu Chen
bingxche
parent
25508d11c0
commit
8e933e1914
@@ -0,0 +1,422 @@
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import json
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import os
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import unittest
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from types import SimpleNamespace
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import openai
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import requests
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from transformers import AutoTokenizer
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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 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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register_amd_ci(est_time=600, suite="stage-b-test-large-8-gpu-35x-disaggregation-amd")
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class TestDisaggregationAccuracy(PDDisaggregationServerBase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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# Configure ROCm RDMA environment
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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 = DEFAULT_MODEL_NAME_FOR_TEST
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# 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 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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"1",
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"--attention-backend",
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"aiter",
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"--log-level",
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"debug",
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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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"1",
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"--base-gpu-id",
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"1",
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"--attention-backend",
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"aiter",
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"--mem-fraction-static",
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"0.8",
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"--log-level",
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"debug",
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]
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decode_args += cls.transfer_backend + cls.rdma_devices
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print("Debug")
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print(decode_args)
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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"], 0.70)
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def test_logprob(self):
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prompt = "The capital of france is "
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response = requests.post(
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self.lb_url + "/generate",
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json={
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"text": prompt,
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"sampling_params": {"temperature": 0},
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"return_logprob": True,
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"return_input_logprob": True,
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"logprob_start_len": 0,
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},
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)
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j = response.json()
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completion_tokens = j["meta_info"]["completion_tokens"]
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input_logprobs = j["meta_info"]["input_token_logprobs"]
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output_logprobs = j["meta_info"]["output_token_logprobs"]
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assert (
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len(output_logprobs) == completion_tokens
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), f"output_logprobs and completion_tokens should have the same length, but got {len(output_logprobs)} and {completion_tokens}"
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assert (
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len(input_logprobs) > 0
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), f"input_logprobs should have at least one token, but got {len(input_logprobs)}"
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def test_structured_output(self):
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json_schema = json.dumps(
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{
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"type": "object",
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"properties": {
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"name": {"type": "string", "pattern": "^[\\w]+$"},
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"population": {"type": "integer"},
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},
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"required": ["name", "population"],
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}
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)
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# JSON
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response = requests.post(
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f"{self.lb_url}/generate",
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json={
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"text": "Here is the information of the capital of France in the JSON format.\n",
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"sampling_params": {
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"temperature": 0,
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"max_new_tokens": 64,
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"json_schema": json_schema,
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},
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},
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)
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output = response.json()["text"]
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# ensure the output is a valid JSON
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json.loads(output)
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def test_first_token_finish(self):
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client = openai.Client(api_key="empty", base_url=f"{self.lb_url}/v1")
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tokenizer = AutoTokenizer.from_pretrained(self.model)
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eos_token = tokenizer.eos_token_id
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prompt = "The best programming language for AI is"
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# First token EOS
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res = client.completions.create(
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model="dummy", prompt=prompt, logit_bias={eos_token: 42}
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).model_dump()
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print(f"{res=}")
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assert res["usage"]["completion_tokens"] == 1, (
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"Expected completion_tokens to be 1 when first token is EOS, "
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f"but got {res['usage']['completion_tokens']}"
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)
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# First token EOS with ignore_eos
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res = client.completions.create(
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model="dummy",
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prompt=prompt,
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logit_bias={eos_token: 42},
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extra_body={"ignore_eos": True},
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).model_dump()
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print(f"{res=}")
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assert res["usage"]["completion_tokens"] > 1, (
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"Expected completion_tokens to be greater than 1 when ignore_eos is True, "
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f"but got {res['usage']['completion_tokens']}"
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)
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# First token with specified stop token
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stop_token_id = tokenizer.encode(" hello", add_special_tokens=False)[0]
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res = client.completions.create(
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model="dummy",
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prompt=prompt,
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logit_bias={stop_token_id: 42},
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stop=[" hello"],
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).model_dump()
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print(f"{res=}")
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assert res["usage"]["completion_tokens"] == 1, (
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"Expected completion_tokens to be 1 when first token is stop token, "
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f"but got {res['usage']['completion_tokens']}"
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)
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# register_amd_ci(est_time=300, suite="stage-b-test-large-2-gpu-amd")
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class TestDisaggregationMooncakeFailure(PDDisaggregationServerBase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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# Configure ROCm RDMA environment
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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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# set DISAGGREGATION_TEST_FAILURE_PROB to simulate failure
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os.environ["DISAGGREGATION_TEST_FAILURE_PROB"] = "0.05"
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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("DISAGGREGATION_TEST_FAILURE_PROB")
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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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"1",
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"--attention-backend",
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"aiter",
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"--log-level",
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"debug",
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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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"1",
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"--base-gpu-id",
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"1",
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"--attention-backend",
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"aiter",
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"--mem-fraction-static",
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"0.8",
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"--log-level",
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"debug",
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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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# Expect lots of failure but the server cannot crash
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try:
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metrics = run_eval_few_shot_gsm8k(args)
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print(f"Evaluation metrics: {metrics}")
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except Exception as e:
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print(f"Test encountered expected errors: {e}")
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# Check if servers are still healthy
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try:
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response = requests.get(self.prefill_url + "/health_generate")
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assert response.status_code == 200
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response = requests.get(self.decode_url + "/health_generate")
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assert response.status_code == 200
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except Exception as health_check_error:
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# If health check fails, re-raise the original exception
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raise e from health_check_error
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# register_amd_ci(est_time=300, suite="stage-b-test-large-2-gpu-amd")
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class TestDisaggregationSimulatedRetract(PDDisaggregationServerBase):
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@classmethod
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def setUpClass(cls):
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super().setUpClass()
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# Configure ROCm RDMA environment
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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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os.environ["SGLANG_TEST_RETRACT"] = "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_TEST_RETRACT")
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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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"1",
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"--attention-backend",
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"aiter",
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"--log-level",
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"debug",
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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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"1",
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"--base-gpu-id",
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"1",
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"--attention-backend",
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"aiter",
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"--mem-fraction-static",
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"0.8",
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"--log-level",
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"debug",
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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"], 0.70)
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if __name__ == "__main__":
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unittest.main()
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Block a user