[Dependency] Upgrade to Torch 2.11.0 (#21247)
Co-authored-by: Kangyan Zhou <zky314343421@gmail.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com> Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com> Co-authored-by: b8zhong <b8zhong@users.noreply.github.com> Co-authored-by: Mick <mickjagger19@icloud.com>
This commit is contained in:
co-authored by
Kangyan Zhou
Claude Opus 4.7
Baizhou Zhang
b8zhong
Mick
parent
24a6b3084d
commit
88bb5dffe4
@@ -1,249 +0,0 @@
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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 requests
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from sglang.srt.utils import kill_process_tree
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from sglang.test.ci.ci_register import register_cuda_ci
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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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DEFAULT_DEEPSEEK_W4AFP8_MODEL_FOR_TEST,
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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CustomTestCase,
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is_in_amd_ci,
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is_in_ci,
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popen_launch_server,
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try_cached_model,
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write_github_step_summary,
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)
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register_cuda_ci(est_time=930, suite="stage-c-test-8-gpu-h20")
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class TestDeepseekV3W4afp8(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(DEFAULT_DEEPSEEK_W4AFP8_MODEL_FOR_TEST)
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = ["--trust-remote-code", "--tp", "8", "--ep-size", "8"]
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cls.process = popen_launch_server(
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cls.model,
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cls.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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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_gsm8k(self):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=1200,
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num_threads=1200,
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)
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metrics = run_eval(args)
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print(f"Eval accuracy of GSM8K: {metrics=}")
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self.assertGreater(metrics["score"], 0.92)
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class TestDeepseekV3W4Afp8Mtp(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(DEFAULT_DEEPSEEK_W4AFP8_MODEL_FOR_TEST)
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--tp",
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"8",
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"--trust-remote-code",
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"--ep-size",
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"8",
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"--cuda-graph-bs",
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"256",
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"--disable-radix-cache",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"2",
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"--speculative-num-draft-tokens",
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"4",
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]
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if not is_in_amd_ci():
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other_args += ["--mem-frac", "0.7"]
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cls.process = popen_launch_server(
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cls.model,
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cls.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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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_gsm8k(
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self,
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):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=200,
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num_threads=128,
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)
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metrics = run_eval(args)
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print(f"{metrics=}")
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server_info = requests.get(self.base_url + "/server_info")
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avg_spec_accept_length = server_info.json()["internal_states"][0][
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"avg_spec_accept_length"
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]
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print(f"{avg_spec_accept_length=}")
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if is_in_ci():
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write_github_step_summary(
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f"### test_gsm8k (deepseek-v3 mtp)\n"
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f'{metrics["score"]=:.3f}\n'
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f"{avg_spec_accept_length=:.2f}\n"
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)
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self.assertGreater(metrics["score"], 0.935)
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self.assertGreater(avg_spec_accept_length, 2.9)
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class TestDeepseekV3W4Afp8DeepepNormal(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(DEFAULT_DEEPSEEK_W4AFP8_MODEL_FOR_TEST)
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--tp",
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"8",
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"--trust-remote-code",
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"--ep-size",
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"8",
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"--cuda-graph-bs",
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"256",
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"--disable-radix-cache",
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"--moe-a2a-backend",
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"deepep",
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"--deepep-mode",
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"normal",
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"--dp",
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"8",
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"--enable-dp-attention",
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"--moe-runner-backend",
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"cutlass",
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]
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if not is_in_amd_ci():
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other_args += ["--mem-frac", "0.7"]
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cls.process = popen_launch_server(
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cls.model,
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cls.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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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_gsm8k(
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self,
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):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=200,
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num_threads=128,
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)
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metrics = run_eval(args)
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print(f"Eval accuracy of GSM8K: {metrics=}")
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self.assertGreater(metrics["score"], 0.92)
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class TestDeepseekV3W4Afp8DeepepAutoMtp(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = try_cached_model(DEFAULT_DEEPSEEK_W4AFP8_MODEL_FOR_TEST)
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = [
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"--tp",
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"8",
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"--trust-remote-code",
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"--ep-size",
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"8",
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"--cuda-graph-bs",
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"256",
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"--disable-radix-cache",
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"--moe-a2a-backend",
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"deepep",
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"--deepep-mode",
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"auto",
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"--dp",
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"8",
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"--enable-dp-attention",
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"--moe-runner-backend",
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"cutlass",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-num-steps",
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"3",
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"--speculative-eagle-topk",
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"1",
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"--speculative-num-draft-tokens",
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"4",
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]
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if not is_in_amd_ci():
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other_args += ["--mem-frac", "0.7"]
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cls.process = popen_launch_server(
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cls.model,
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cls.base_url,
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timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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other_args=other_args,
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env={
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**os.environ,
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"SGLANG_DEEPEP_BF16_DISPATCH": "1",
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"SGLANG_DEEPEP_NUM_MAX_DISPATCH_TOKENS_PER_RANK": "256",
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},
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)
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@classmethod
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def tearDownClass(cls):
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kill_process_tree(cls.process.pid)
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def test_gsm8k(
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self,
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):
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args = SimpleNamespace(
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base_url=self.base_url,
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model=self.model,
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eval_name="gsm8k",
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api="completion",
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max_tokens=512,
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num_examples=200,
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num_threads=128,
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)
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metrics = run_eval(args)
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print(f"Eval accuracy of GSM8K: {metrics=}")
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self.assertGreater(metrics["score"], 0.92)
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if __name__ == "__main__":
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unittest.main()
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