[CI/Build][CPU] Fix CPU CI and remove all CPU V0 files (#20560)

Signed-off-by: jiang1.li <jiang1.li@intel.com>

tests/basic_correctness/test_chunked_prefill.py

@@ -294,61 +294,3 @@ def test_with_prefix_caching(
         name_0="w/o prefix caching",
         name_1="with prefix caching",
     )
-
-
-@pytest.mark.parametrize("model", ["facebook/opt-125m"])
-@pytest.mark.parametrize("dtype", ["bfloat16", "half"])
-@pytest.mark.parametrize("max_tokens", [32])
-@pytest.mark.parametrize("chunked_prefill_token_size", [1, 4, 16])
-@pytest.mark.parametrize("enforce_eager", [False])
-@pytest.mark.parametrize("attention_backend", ["TORCH_SDPA"])
-@pytest.mark.cpu_model
-@pytest.mark.skipif(not current_platform.is_cpu(), reason="CPU only")
-def test_models_cpu(
-    hf_runner: HfRunner,
-    vllm_runner: VllmRunner,
-    example_prompts,
-    model: str,
-    dtype: str,
-    max_tokens: int,
-    chunked_prefill_token_size: int,
-    enforce_eager: bool,
-    attention_backend: str,
-    monkeypatch: pytest.MonkeyPatch,
-) -> None:
-    test_models(
-        hf_runner,
-        vllm_runner,
-        example_prompts,
-        model,
-        dtype,
-        max_tokens,
-        chunked_prefill_token_size,
-        enforce_eager,
-        1,
-        attention_backend,
-        monkeypatch,
-    )
-
-
-@pytest.mark.parametrize("max_tokens", [16])
-@pytest.mark.parametrize("enforce_eager", [False])
-@pytest.mark.parametrize("chunk_size", [30, 32])
-@pytest.mark.parametrize("dtype", ["bfloat16", "half"])
-@pytest.mark.cpu_model
-@pytest.mark.skipif(not current_platform.is_cpu(), reason="CPU only")
-def test_with_prefix_caching_cpu(
-    vllm_runner: VllmRunner,
-    max_tokens: int,
-    enforce_eager: bool,
-    chunk_size: int,
-    dtype: str,
-) -> None:
-    test_with_prefix_caching(
-        vllm_runner,
-        max_tokens,
-        enforce_eager,
-        chunk_size,
-        1,
-        dtype,
-    )

tests/models/language/generation/test_common.py

@@ -39,7 +39,7 @@ AITER_MODEL_LIST = [
     [
         pytest.param(
             "bigscience/bloom-560m",  # bloom - testing alibi slopes
-            marks=[pytest.mark.core_model, pytest.mark.cpu_model],
+            marks=[pytest.mark.core_model],
         ),
         pytest.param(
             "openai-community/gpt2",  # gpt2
@@ -87,7 +87,11 @@ AITER_MODEL_LIST = [
         pytest.param("bigcode/starcoder2-3b"),  # starcoder2
         pytest.param(
             "TitanML/tiny-mixtral",  # mixtral
-            marks=[pytest.mark.core_model, pytest.mark.cpu_model],
+            marks=[pytest.mark.core_model],
+        ),
+        pytest.param(
+            "Qwen/Qwen1.5-MoE-A2.7B-Chat",
+            marks=[pytest.mark.cpu_model],
         )
     ])
 @pytest.mark.parametrize("max_tokens", [32])

tests/models/language/pooling/test_embedding.py

@@ -1,6 +1,5 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
-import os
 from typing import Optional
 
 import pytest
@@ -29,8 +28,10 @@ def v1(run_with_both_engines):
         # [Decoder-only]
         pytest.param("BAAI/bge-multilingual-gemma2",
                      marks=[pytest.mark.core_model]),
-        pytest.param("intfloat/e5-mistral-7b-instruct",
-                     marks=[pytest.mark.core_model, pytest.mark.cpu_model]),
+        pytest.param(
+            "intfloat/e5-mistral-7b-instruct",
+            # CPU v1 doesn't support sliding window
+            marks=[pytest.mark.core_model]),
         # the qwen models interfere with each other (see PR
         # https://github.com/vllm-project/vllm/pull/18720).
         # To avoid this problem, for now we skip v0 since it will be
@@ -38,11 +39,13 @@ def v1(run_with_both_engines):
         pytest.param("ssmits/Qwen2-7B-Instruct-embed-base",
                      marks=[pytest.mark.skip_v0, pytest.mark.cpu_model]),
         # [Encoder-only]
-        pytest.param("BAAI/bge-base-en-v1.5",
-                     marks=[
-                         pytest.mark.core_model, pytest.mark.cpu_model,
-                         pytest.mark.skip_v1
-                     ]),
+        pytest.param(
+            "BAAI/bge-base-en-v1.5",
+            marks=[
+                # CPU only supports V1
+                pytest.mark.core_model,
+                pytest.mark.skip_v1
+            ]),
         pytest.param("sentence-transformers/all-MiniLM-L12-v2",
                      marks=[pytest.mark.skip_v1]),
         pytest.param("intfloat/multilingual-e5-small",
@@ -61,10 +64,6 @@ def test_models(
     model,
     monkeypatch,
 ) -> None:
-    if model == "intfloat/e5-mistral-7b-instruct" and current_platform.is_cpu(
-    ) and os.environ.get("VLLM_USE_V1", "0") == "1":
-        pytest.skip("CPU V1 doesn't support sliding window")
-
     if model == "BAAI/bge-multilingual-gemma2" and current_platform.is_rocm():
         # ROCm Triton FA does not currently support sliding window attention
         # switch to use ROCm CK FA backend

tests/models/language/pooling/test_reward.py

@@ -1,5 +1,7 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import os
+
 import pytest
 import torch
 import torch.nn.functional as F
@@ -84,6 +86,9 @@ def test_prm_models(
     dtype: str,
     monkeypatch,
 ) -> None:
+    if current_platform.is_cpu() and os.environ.get("VLLM_USE_V1", "0") == "0":
+        pytest.skip("CPU only supports V1")
+
     if current_platform.is_rocm():
         # ROCm Triton FA does not currently support sliding window attention
         # switch to use ROCm CK FA backend

tests/quantization/test_compressed_tensors.py

@@ -45,7 +45,8 @@ def use_v0_only(monkeypatch):
     """
     This module relies on V0 internals, so set VLLM_USE_V1=0.
     """
-    monkeypatch.setenv('VLLM_USE_V1', '0')
+    if not current_platform.is_cpu():
+        monkeypatch.setenv('VLLM_USE_V1', '0')
 
 
 @pytest.mark.parametrize(