Re-org eagle unit tests (#14909)

python/sglang/srt/environ.py

@@ -173,6 +173,7 @@ class Envs:
     SGLANG_TEST_RETRACT_NO_PREFILL_BS = EnvInt(2 ** 31)
     SGLANG_ENABLE_STRICT_MEM_CHECK_DURING_BUSY = EnvInt(0)
     SGLANG_ENABLE_STRICT_MEM_CHECK_DURING_IDLE = EnvBool(True)
+    SGLANG_CI_SMALL_KV_SIZE = EnvInt(-1)
 
     # Scheduler: new token ratio hyperparameters
     SGLANG_INIT_NEW_TOKEN_RATIO = EnvFloat(0.7)

python/sglang/srt/model_executor/model_runner.py

@@ -237,9 +237,6 @@ def add_chunked_prefix_cache_attention_backend(backend_name):
         )
 
 
-# Use a small KV cache pool size for tests in CI
-SGLANG_CI_SMALL_KV_SIZE = os.getenv("SGLANG_CI_SMALL_KV_SIZE", None)
-
 # Detect stragger ranks in model loading
 UNBALANCED_MODEL_LOADING_TIMEOUT_S = 480  # leave more time for post data processing
 
@@ -1716,8 +1713,10 @@ class ModelRunner:
         log_info_on_rank0(logger, f"Using KV cache dtype: {self.kv_cache_dtype}")
 
         self.max_total_num_tokens = self.profile_max_num_token(total_gpu_memory)
-        if SGLANG_CI_SMALL_KV_SIZE:
-            self.max_total_num_tokens = int(SGLANG_CI_SMALL_KV_SIZE)
+
+        if (small_kv_size := envs.SGLANG_CI_SMALL_KV_SIZE.get()) > 0:
+            # Use a small KV cache pool size for local tests
+            self.max_total_num_tokens = small_kv_size
 
         if max_num_reqs is None:
             max_num_reqs = min(

python/sglang/test/server_fixtures/eagle_fixture.py

@@ -0,0 +1,115 @@
+import json
+import random
+import time
+
+import requests
+
+from sglang.srt.utils.common import kill_process_tree
+from sglang.test.test_utils import (
+    DEFAULT_EAGLE_DRAFT_MODEL_FOR_TEST,
+    DEFAULT_EAGLE_TARGET_MODEL_FOR_TEST,
+    DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+    DEFAULT_URL_FOR_TEST,
+    CustomTestCase,
+    popen_launch_server,
+)
+
+PROMPTS = [
+    "[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nToday is a sunny day and I like[/INST]"
+    '[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nWhat are the mental triggers in Jeff Walker\'s Product Launch Formula and "Launch" book?[/INST]',
+    "[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nSummarize Russell Brunson's Perfect Webinar Script...[/INST]",
+    "[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nwho are you?[/INST]",
+    "[INST] <<SYS>>\\nYou are a helpful assistant.\\n<</SYS>>\\nwhere are you from?[/INST]",
+]
+
+
+class EagleServerBase(CustomTestCase):
+    target_model = DEFAULT_EAGLE_TARGET_MODEL_FOR_TEST
+    draft_model = DEFAULT_EAGLE_DRAFT_MODEL_FOR_TEST
+    spec_algo = "EAGLE"
+    spec_steps = 5
+    spec_topk = 8
+    spec_tokens = 64
+    mem_fraction_static = 0.7
+    extra_args = []
+
+    @classmethod
+    def setUpClass(cls):
+        cls.base_url = DEFAULT_URL_FOR_TEST
+        cls.process = popen_launch_server(
+            cls.target_model,
+            cls.base_url,
+            timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
+            other_args=[
+                f"--speculative-algorithm={cls.spec_algo}",
+                f"--speculative-draft-model-path={cls.draft_model}",
+                f"--speculative-num-steps={cls.spec_steps}",
+                f"--speculative-eagle-topk={cls.spec_topk}",
+                f"--speculative-num-draft-tokens={cls.spec_tokens}",
+                f"--mem-fraction-static={cls.mem_fraction_static}",
+            ]
+            + cls.extra_args,
+        )
+
+    @classmethod
+    def tearDownClass(cls):
+        kill_process_tree(cls.process.pid)
+
+    def send_request(self):
+        time.sleep(random.uniform(0, 2))
+        for prompt in PROMPTS:
+            url = self.base_url + "/generate"
+            data = {
+                "text": prompt,
+                "sampling_params": {
+                    "temperature": 0,
+                    "max_new_tokens": 1024,
+                },
+            }
+            response = requests.post(url, json=data)
+            assert response.status_code == 200
+
+    def send_requests_abort(self):
+        for prompt in PROMPTS:
+            try:
+                time.sleep(random.uniform(0, 2))
+                url = self.base_url + "/generate"
+                data = {
+                    "model": "base",
+                    "text": prompt,
+                    "sampling_params": {
+                        "temperature": 0,
+                        "max_new_tokens": 1024,
+                    },
+                }
+                # set timeout = 1s, mock disconnected
+                requests.post(url, json=data, timeout=1)
+            except Exception as e:
+                print(e)
+                pass
+
+    def run_decode(self, sampling_params):
+        return_logprob = True
+        top_logprobs_num = 5
+        return_text = True
+        n = 1
+
+        response = requests.post(
+            self.base_url + "/generate",
+            json={
+                "text": "Human: Write a travel blog post to Hawaii.\n\nAssistant:",
+                "sampling_params": {
+                    "max_new_tokens": 48,
+                    "n": n,
+                    "temperature": 0.7,
+                    **sampling_params,
+                },
+                "return_logprob": return_logprob,
+                "top_logprobs_num": top_logprobs_num,
+                "return_text_in_logprobs": return_text,
+                "logprob_start_len": 0,
+            },
+        )
+        self.assertEqual(response.status_code, 200)
+        print(json.dumps(response.json()))
+        print("=" * 100)