Split test_mla.py into two files (#4216)
This commit is contained in:
Lianmin Zheng
4
.github/workflows/pr-test-amd.yml
vendored
4
.github/workflows/pr-test-amd.yml
vendored
@@ -90,11 +90,11 @@ jobs:
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- name: MLA TEST
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timeout-minutes: 20
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run: |
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docker exec -w /sglang-checkout/test/srt ci_sglang python3 test_mla.py TestMLA
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docker exec -w /sglang-checkout/test/srt ci_sglang python3 test_mla.py
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finish:
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needs: [
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accuracy-test-1-gpu-amd
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accuracy-test-1-gpu-amd, mla-test-1-gpu-amd
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]
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runs-on: ubuntu-latest
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steps:
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@@ -24,6 +24,7 @@ suites = {
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"test_gguf.py",
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"test_input_embeddings.py",
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"test_mla.py",
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"test_mla_deepseek_v3.py",
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"test_mla_flashinfer.py",
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"test_mla_fp8.py",
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"test_json_constrained.py",
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@@ -1,11 +1,7 @@
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import unittest
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from types import SimpleNamespace
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import requests
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import torch
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from sglang.srt.utils import kill_process_tree
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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.run_eval import run_eval
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from sglang.test.test_utils import (
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DEFAULT_MLA_MODEL_NAME_FOR_TEST,
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@@ -56,101 +52,5 @@ class TestMLA(unittest.TestCase):
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self.assertGreater(metrics["score"], 0.8)
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class TestDeepseekV3(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "lmsys/sglang-ci-dsv3-test"
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = ["--trust-remote-code"]
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if torch.cuda.is_available() and torch.version.cuda:
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other_args.extend(["--enable-torch-compile", "--cuda-graph-max-bs", "2"])
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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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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="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], 0.62)
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class TestDeepseekV3MTP(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "lmsys/sglang-ci-dsv3-test"
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = ["--trust-remote-code"]
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if torch.cuda.is_available() and torch.version.cuda:
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other_args.extend(
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[
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"--cuda-graph-max-bs",
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"2",
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"--disable-radix",
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"--enable-torch-compile",
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"--torch-compile-max-bs",
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"1",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-draft",
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"lmsys/sglang-ci-dsv3-test-NextN",
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"--speculative-num-steps",
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"2",
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"--speculative-eagle-topk",
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"4",
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"--speculative-num-draft-tokens",
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"4",
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]
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)
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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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requests.get(self.base_url + "/flush_cache")
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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="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], 0.60)
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server_info = requests.get(self.base_url + "/get_server_info")
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avg_spec_accept_length = server_info.json()["avg_spec_accept_length"]
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print(f"{avg_spec_accept_length=}")
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self.assertGreater(avg_spec_accept_length, 2.5)
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if __name__ == "__main__":
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unittest.main()
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113
test/srt/test_mla_deepseek_v3.py
Normal file
113
test/srt/test_mla_deepseek_v3.py
Normal file
@@ -0,0 +1,113 @@
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import unittest
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from types import SimpleNamespace
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import requests
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import torch
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from sglang.srt.utils import kill_process_tree
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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.test_utils import (
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DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
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DEFAULT_URL_FOR_TEST,
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popen_launch_server,
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)
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class TestDeepseekV3(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "lmsys/sglang-ci-dsv3-test"
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = ["--trust-remote-code"]
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if torch.cuda.is_available() and torch.version.cuda:
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other_args.extend(["--enable-torch-compile", "--cuda-graph-max-bs", "2"])
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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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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="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], 0.62)
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class TestDeepseekV3MTP(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.model = "lmsys/sglang-ci-dsv3-test"
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cls.base_url = DEFAULT_URL_FOR_TEST
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other_args = ["--trust-remote-code"]
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if torch.cuda.is_available() and torch.version.cuda:
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other_args.extend(
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[
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"--cuda-graph-max-bs",
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"2",
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"--disable-radix",
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"--enable-torch-compile",
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"--torch-compile-max-bs",
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"1",
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"--speculative-algorithm",
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"EAGLE",
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"--speculative-draft",
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"lmsys/sglang-ci-dsv3-test-NextN",
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"--speculative-num-steps",
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"2",
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"--speculative-eagle-topk",
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"4",
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"--speculative-num-draft-tokens",
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"4",
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]
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)
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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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requests.get(self.base_url + "/flush_cache")
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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="http://127.0.0.1",
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port=int(self.base_url.split(":")[-1]),
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)
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metrics = run_eval_few_shot_gsm8k(args)
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print(metrics)
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self.assertGreater(metrics["accuracy"], 0.60)
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server_info = requests.get(self.base_url + "/get_server_info")
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avg_spec_accept_length = server_info.json()["avg_spec_accept_length"]
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print(f"{avg_spec_accept_length=}")
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self.assertGreater(avg_spec_accept_length, 2.5)
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if __name__ == "__main__":
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unittest.main()
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