Add Speculative Decoding Eagle3 topk > 1

python/sglang/srt/model_executor/model_runner.py

@@ -221,7 +221,16 @@ def model_specific_adjustment(self):
         server_args = self.server_args
 
         if server_args.attention_backend is None:
-            # By default, use flashinfer for non-mla attention and triton for mla attention
+            """
+            We auto select the fastest attention backend according to the current offering
+            1. Models with MHA Architecture (e.g: Llama, QWen)
+                1.1 We will turn on FA3 on hopper unless user use spec decode with topk > 1 or page_size > 1.
+                1.2 In other cases, we will use flashinfer if available, otherwise use triton.
+            2. Models with MLA Architecture and using FA3
+                2.1 We will use FA3 backend on hopper.
+                2.2 Otherwise, we will use triton backend.
+            """
+
             if not self.use_mla_backend:
                 if (
                     is_hopper_with_cuda_12_3()
@@ -234,9 +243,7 @@ def model_specific_adjustment(self):
                         "flashinfer" if is_flashinfer_available() else "triton"
                     )
             else:
-                if is_hopper_with_cuda_12_3() and is_no_spec_infer_or_topk_one(
-                    server_args
-                ):
+                if is_hopper_with_cuda_12_3():
                     server_args.attention_backend = "fa3"
                 else:
                     server_args.attention_backend = "triton"

python/sglang/srt/server_args.py

@@ -358,7 +358,18 @@ def __post_init__(self):
 
             if self.page_size > 1 and self.speculative_eagle_topk > 1:
                 self.speculative_eagle_topk = 1
-                logger.info("speculative_eagle_topk is changed to 1 when page_size > 1")
+                logger.info(
+                    "speculative_eagle_topk is adjusted to 1 when page_size > 1"
+                )
+
+            if (
+                self.speculative_eagle_topk == 1
+                and self.speculative_num_draft_tokens != self.speculative_num_steps + 1
+            ):
+                logger.info(
+                    "speculative_num_draft_tokens is adjusted to speculative_num_steps + 1 when speculative_eagle_topk == 1"
+                )
+                self.speculative_num_draft_tokens = self.speculative_num_steps + 1
 
             # The token generated from the verify step is counted.
             # If sepculative_num_steps >= speculative_num_draft_tokens, the additional tokens will definitely be discarded.

python/sglang/srt/utils.py

@@ -1913,6 +1913,8 @@ def is_page_size_one(server_args):
     return server_args.page_size == 1
 
 
+# TODO(hebiao064): Accelerate FA3 Spec Decode with topk > 1.
+# TODO(hebiao064): Improve the acc rate for FA3 Spec Decode with topk == 1 and page_size > 1.
 def is_no_spec_infer_or_topk_one(server_args):
     return server_args.speculative_eagle_topk is None or (
         server_args.speculative_eagle_topk is not None

test/srt/run_suite.py

@@ -29,7 +29,7 @@ class TestFile:
         TestFile("test_chunked_prefill.py", 336),
         TestFile("test_eagle_infer.py", 500),
         TestFile("test_ebnf_constrained.py"),
-        TestFile("test_fa3.py", 5),
+        TestFile("test_fa3.py", 200),
         TestFile("test_fp8_kernel.py", 8),
         TestFile("test_embedding_openai_server.py", 36),
         TestFile("test_hidden_states.py", 55),

test/srt/test_fa3.py

@@ -173,6 +173,60 @@ def test_gsm8k(self):
         self.assertGreater(avg_spec_accept_length, 1.5)
 
 
+class TestFlashAttention3SpeculativeDecodeTopk(BaseFlashAttentionTest):
+    """Test FlashAttention3 with speculative decode enabled, topk > 1"""
+
+    model = "meta-llama/Llama-3.1-8B-Instruct"
+
+    @classmethod
+    def get_server_args(cls):
+        args = super().get_server_args()
+        args.extend(
+            [
+                "--cuda-graph-max-bs",
+                "2",
+                "--speculative-algorithm",
+                "EAGLE3",
+                "--speculative-draft",
+                "jamesliu1/sglang-EAGLE3-Llama-3.1-Instruct-8B",
+                "--speculative-num-steps",
+                "5",
+                "--speculative-eagle-topk",
+                "4",
+                "--speculative-num-draft-tokens",
+                "8",
+                "--dtype",
+                "float16",
+            ]
+        )
+        return args
+
+    def test_gsm8k(self):
+        """
+        Override the test_gsm8k to further test for average speculative accept length.
+        """
+        requests.get(self.base_url + "/flush_cache")
+
+        args = SimpleNamespace(
+            num_shots=5,
+            data_path=DATA_PATH,
+            num_questions=200,
+            max_new_tokens=512,
+            parallel=128,
+            host="http://127.0.0.1",
+            port=int(self.base_url.split(":")[-1]),
+        )
+        metrics = run_eval_few_shot_gsm8k(args)
+        print(metrics)
+
+        self.assertGreater(metrics["accuracy"], 0.60)
+
+        server_info = requests.get(self.base_url + "/get_server_info")
+        avg_spec_accept_length = server_info.json()["avg_spec_accept_length"]
+        print(f"{avg_spec_accept_length=}")
+        self.assertGreater(avg_spec_accept_length, 1.8)
+
+
 class TestFlashAttention3MLASpeculativeDecode(BaseFlashAttentionTest):
     """Test FlashAttention3 with speculative decode enabled."""