Fix FP8 KV Cache Support in FA3 Backend (#7148)
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@@ -4,7 +4,7 @@ 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.srt.utils import is_cuda, is_hip, 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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@@ -20,7 +20,7 @@ class TestMLADeepseekV3(CustomTestCase):
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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", "--chunked-prefill-size", "256"]
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if torch.cuda.is_available() and torch.version.cuda:
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if is_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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@@ -49,6 +49,48 @@ class TestMLADeepseekV3(CustomTestCase):
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self.assertGreater(metrics["accuracy"], 0.62)
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@unittest.skipIf(is_hip(), "FA is not available.")
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class TestMLADeepseekV3Fa3Fp8Kvcache(CustomTestCase):
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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 = [
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"--trust-remote-code",
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"--chunked-prefill-size",
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"256",
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"--kv-cache-dtype",
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"fp8_e4m3",
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]
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if is_cuda():
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other_args.extend(["--attention-backend", "fa3"])
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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(CustomTestCase):
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@classmethod
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def setUpClass(cls):
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