[CI] Stabilize cpu offload compressed tensors test

tests/quantization/test_cpu_offload.py

@@ -70,4 +70,5 @@ def test_cpu_offload_compressed_tensors(monkeypatch):
         ["--enforce_eager"],
         ["--enforce_eager", "--cpu-offload-gb", "1"],
         max_wait_seconds=480,
+        include_seeded_sampling=False,
     )

tests/utils.py

@@ -656,6 +656,7 @@ def _test_completion(
     model: str,
     prompt: str,
     token_ids: list[int],
+    include_seeded_sampling: bool = True,
 ):
     results = []
 
@@ -690,33 +691,40 @@ def _test_completion(
         }
     )
 
-    # test seeded random sampling
-    completion = client.completions.create(
-        model=model, prompt=prompt, max_tokens=5, seed=33, temperature=1.0
-    )
+    if include_seeded_sampling:
+        # test seeded random sampling
+        completion = client.completions.create(
+            model=model, prompt=prompt, max_tokens=5, seed=33, temperature=1.0
+        )
 
-    results.append(
-        {
-            "test": "seeded_sampling",
-            "text": completion.choices[0].text,
-            "finish_reason": completion.choices[0].finish_reason,
-            "usage": completion.usage,
-        }
-    )
+        results.append(
+            {
+                "test": "seeded_sampling",
+                "text": completion.choices[0].text,
+                "finish_reason": completion.choices[0].finish_reason,
+                "usage": completion.usage,
+            }
+        )
 
-    # test seeded random sampling with multiple prompts
-    completion = client.completions.create(
-        model=model, prompt=[prompt, prompt], max_tokens=5, seed=33, temperature=1.0
-    )
+        # test seeded random sampling with multiple prompts
+        completion = client.completions.create(
+            model=model,
+            prompt=[prompt, prompt],
+            max_tokens=5,
+            seed=33,
+            temperature=1.0,
+        )
 
-    results.append(
-        {
-            "test": "seeded_sampling",
-            "text": [choice.text for choice in completion.choices],
-            "finish_reason": [choice.finish_reason for choice in completion.choices],
-            "usage": completion.usage,
-        }
-    )
+        results.append(
+            {
+                "test": "seeded_sampling",
+                "text": [choice.text for choice in completion.choices],
+                "finish_reason": [
+                    choice.finish_reason for choice in completion.choices
+                ],
+                "usage": completion.usage,
+            }
+        )
 
     # test simple list
     batch = client.completions.create(
@@ -911,6 +919,7 @@ def compare_two_settings(
     *,
     method: str = "generate",
     max_wait_seconds: float | None = None,
+    include_seeded_sampling: bool = True,
 ) -> None:
     """
     Launch API server with two different sets of arguments/environments
@@ -922,6 +931,8 @@ def compare_two_settings(
         arg2: The second set of arguments to pass to the API server.
         env1: The first set of environment variables to pass to the API server.
         env2: The second set of environment variables to pass to the API server.
+        include_seeded_sampling: Whether to include temperature=1.0 seeded
+            sampling checks in the default generate comparison.
     """
 
     compare_all_settings(
@@ -930,6 +941,7 @@ def compare_two_settings(
         [env1, env2],
         method=method,
         max_wait_seconds=max_wait_seconds,
+        include_seeded_sampling=include_seeded_sampling,
     )
 
 
@@ -940,6 +952,7 @@ def compare_all_settings(
     *,
     method: str = "generate",
     max_wait_seconds: float | None = None,
+    include_seeded_sampling: bool = True,
 ) -> None:
     """
     Launch API server with several different sets of arguments/environments
@@ -948,6 +961,8 @@ def compare_all_settings(
         model: The model to test.
         all_args: A list of argument lists to pass to the API server.
         all_envs: A list of environment dictionaries to pass to the API server.
+        include_seeded_sampling: Whether to include temperature=1.0 seeded
+            sampling checks in the default generate comparison.
     """
 
     trust_remote_code = False
@@ -1008,7 +1023,13 @@ def compare_all_settings(
             )
 
             if method == "generate":
-                results += _test_completion(client, model, prompt, token_ids)
+                results += _test_completion(
+                    client,
+                    model,
+                    prompt,
+                    token_ids,
+                    include_seeded_sampling=include_seeded_sampling,
+                )
             elif method == "generate_close":
                 results += _test_completion_close(client, model, prompt)
             elif method == "generate_chat":