[Test] Add nightly test for DeepSeek-V3.2-Exp (#3908)

### What this PR does / why we need it?
Add nightly test for DeepSeek-V3.2-Exp


### How was this patch tested?
test action：

https://github.com/vllm-project/vllm-ascend/actions/runs/19156153634/job/54757008557?pr=3908


- vLLM version: v0.11.0
- vLLM main:
83f478bb19

---------

Signed-off-by: hfadzxy <starmoon_zhang@163.com>

.github/workflows/_e2e_nightly_single_node.yaml

@@ -33,6 +33,9 @@ on:
       tests:
         required: true
         type: string
+      name:
+        required: false
+        type: string
 
 # Bash shells do not use ~/.profile or ~/.bashrc so these shells need to be explicitly
 # declared as "shell: bash -el {0}" on steps that need to be properly activated.
@@ -94,6 +97,19 @@ jobs:
           pip install -r requirements-dev.txt
           pip install -v -e .
 
+      - name: Install custom-ops (for DeepSeek-V3.2-Exp)
+        if: ${{ inputs.name == 'deepseek3_2-exp-w8a8' }}
+        shell: bash -l {0}
+        run: |
+          wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a3/CANN-custom_ops-sfa-linux.aarch64.run
+          chmod +x ./CANN-custom_ops-sfa-linux.aarch64.run
+          ./CANN-custom_ops-sfa-linux.aarch64.run --quiet
+          export ASCEND_CUSTOM_OPP_PATH=/usr/local/Ascend/ascend-toolkit/latest/opp/vendors/customize:${ASCEND_CUSTOM_OPP_PATH}
+          export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/opp/vendors/customize/op_api/lib/:${LD_LIBRARY_PATH}
+          wget https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a3/custom_ops-1.0-cp311-cp311-linux_aarch64.whl
+          pip install custom_ops-1.0-cp311-cp311-linux_aarch64.whl
+          . /usr/local/Ascend/ascend-toolkit/set_env.sh
+
       - name: Checkout aisbench repo and Install aisbench
         run: |
           git clone https://gitee.com/aisbench/benchmark.git

.github/workflows/vllm_ascend_test_nightly_a3.yaml

@@ -84,12 +84,16 @@ jobs:
           - name: qwen3-235b-w8a8
             os: linux-aarch64-a3-16
             tests: tests/e2e/nightly/models/test_qwen3_235b_w8a8.py
+          - name: deepseek3_2-exp-w8a8
+            os: linux-aarch64-a3-16
+            tests: tests/e2e/nightly/models/test_deepseek_v3_2_exp_w8a8.py
     uses: ./.github/workflows/_e2e_nightly_single_node.yaml
     with:
       vllm: v0.11.0
       runner: ${{ matrix.test_config.os }}
       image: swr.cn-southwest-2.myhuaweicloud.com/base_image/ascend-ci/cann:8.3.rc1-a3-ubuntu22.04-py3.11
       tests: ${{ matrix.test_config.tests }}
+      name: ${{ matrix.test_config.name }}
 
   multi-node-tests:
     name: multi-node
@@ -115,6 +119,9 @@ jobs:
           - name: multi-node-glm-2node
             config_file_path: GLM-4_5.yaml
             size: 2
+          - name: multi-node-dpsk3.2-exp-2node
+            config_file_path: DeepSeek-V3_2-Exp-bf16.yaml
+            size: 2
     uses: ./.github/workflows/_e2e_nightly_multi_node.yaml
     with:
       soc_version: a3

tests/e2e/nightly/models/test_deepseek_v3_2_exp_w8a8.py

@@ -0,0 +1,120 @@
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# Copyright 2023 The vLLM team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# This file is a part of the vllm-ascend project.
+#
+from typing import Any
+
+import openai
+import pytest
+from vllm.utils import get_open_port
+
+from tests.e2e.conftest import RemoteOpenAIServer
+from tools.aisbench import run_aisbench_cases
+
+MODELS = [
+    "vllm-ascend/DeepSeek-V3.2-Exp-W8A8",
+]
+
+TENSOR_PARALLELS = [8]
+DATA_PARALLELS = [2]
+FULL_GRAPH = [True, False]
+
+prompts = [
+    "San Francisco is a",
+]
+
+api_keyword_args = {
+    "max_tokens": 10,
+}
+
+aisbench_cases = [{
+    "case_type": "accuracy",
+    "dataset_path": "vllm-ascend/gsm8k-lite",
+    "request_conf": "vllm_api_general_chat",
+    "dataset_conf": "gsm8k/gsm8k_gen_0_shot_cot_chat_prompt",
+    "max_out_len": 4096,
+    "batch_size": 8,
+    "baseline": 95,
+    "threshold": 5
+}, {
+    "case_type": "performance",
+    "dataset_path": "vllm-ascend/GSM8K-in3500-bs400",
+    "request_conf": "vllm_api_stream_chat",
+    "dataset_conf": "gsm8k/gsm8k_gen_0_shot_cot_str_perf",
+    "num_prompts": 16,
+    "max_out_len": 1500,
+    "batch_size": 8,
+    "request_rate": 0,
+    "baseline": 1,
+    "threshold": 0.97
+}]
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("model", MODELS)
+@pytest.mark.parametrize("tp_size", TENSOR_PARALLELS)
+@pytest.mark.parametrize("dp_size", DATA_PARALLELS)
+@pytest.mark.parametrize("full_graph", FULL_GRAPH)
+async def test_models(model: str, tp_size: int, dp_size: int,
+                      full_graph: bool) -> None:
+    port = get_open_port()
+    env_dict = {"HCCL_BUFFSIZE": "1024", "VLLM_ASCEND_ENABLE_MLAPO": "0"}
+    server_args = [
+        "--no-enable-prefix-caching",
+        "--enable-expert-parallel",
+        "--tensor-parallel-size",
+        str(tp_size),
+        "--data-parallel-size",
+        str(dp_size),
+        "--port",
+        str(port),
+        "--max-model-len",
+        "16384",
+        "--max-num-batched-tokens",
+        "16384",
+        "--block-size",
+        "16",
+        "--trust-remote-code",
+        "--quantization",
+        "ascend",
+        "--gpu-memory-utilization",
+        "0.9",
+        "--additional-config",
+        '{"ascend_scheduler_config":{"enabled":true},'
+        '"torchair_graph_config":{"enabled":true,"graph_batch_sizes":[16]}}',
+    ]
+    if full_graph:
+        server_args += [
+            "--compilation-config",
+            '{"cudagraph_capture": [16], "cudagraph_model":"FULL_DECODE_ONLY"}'
+        ]
+    request_keyword_args: dict[str, Any] = {
+        **api_keyword_args,
+    }
+    with RemoteOpenAIServer(model,
+                            server_args,
+                            server_port=port,
+                            env_dict=env_dict,
+                            auto_port=False) as server:
+        client = server.get_async_client()
+        batch = await client.completions.create(
+            model=model,
+            prompt=prompts,
+            **request_keyword_args,
+        )
+        choices: list[openai.types.CompletionChoice] = batch.choices
+        assert choices[0].text, "empty response"
+        # aisbench test
+        run_aisbench_cases(model, port, aisbench_cases)

tests/e2e/nightly/multi_node/config/models/DeepSeek-V3_2-Exp-bf16.yaml

@@ -0,0 +1,55 @@
+test_name: "test DeepSeek-V3.2-Exp-bf16 multi-dp"
+model: "Yanguan/DeepSeek-V3.2-Exp-bf16"
+num_nodes: 2
+npu_per_node: 16
+env_common:
+  VLLM_USE_MODELSCOPE: true
+  OMP_PROC_BIND: false
+  OMP_NUM_THREADS: 100
+  HCCL_BUFFSIZE: 1024
+  SERVER_PORT: 8080
+  VLLM_ASCEND_ENABLE_MLAPO: 0
+
+deployment:
+  -
+    server_cmd: >
+        vllm serve Yanguan/DeepSeek-V3.2-Exp-bf16 \
+        --host 0.0.0.0
+        --port $SERVER_PORT
+        --data-parallel-address $LOCAL_IP
+        --data-parallel-size 2
+        --data-parallel-size-local 1
+        --data-parallel-rpc-port 13389 
+        --tensor-parallel-size 16 
+        --seed 1024 
+        --enable-expert-parallel 
+        --max-num-seqs 16 
+        --max-model-len 17450 
+        --max-num-batched-tokens 17450 
+        --trust-remote-code 
+        --no-enable-prefix-caching 
+        --gpu-memory-utilization 0.9 
+        --additional-config '{"ascend_scheduler_config":{"enabled":true},"torchair_graph_config":{"enabled":true,"graph_batch_sizes":[16]}}'
+
+  -
+    server_cmd: >
+        vllm serve Yanguan/DeepSeek-V3.2-Exp-bf16 \
+        --host 0.0.0.0 
+        --port $SERVER_PORT 
+        --headless
+        --data-parallel-size 2 
+        --data-parallel-size-local 1 
+        --data-parallel-start-rank 1 
+        --data-parallel-address $MASTER_IP
+        --data-parallel-rpc-port 13389 
+        --tensor-parallel-size 16 
+        --seed 1024 
+        --max-num-seqs 16 
+        --max-model-len 17450 
+        --max-num-batched-tokens 17450 
+        --enable-expert-parallel 
+        --trust-remote-code 
+        --no-enable-prefix-caching 
+        --gpu-memory-utilization 0.92 
+        --additional-config '{"ascend_scheduler_config":{"enabled":true},"torchair_graph_config":{"enabled":true,"graph_batch_sizes":[16]}}'
+benchmarks:

tests/e2e/nightly/multi_node/scripts/run.sh

@@ -107,6 +107,32 @@ install_ais_bench() {
     cd -
 }
 
+install_extra_components() {
+    echo "====> Installing extra components for DeepSeek-v3.2-exp-bf16"
+    
+    if ! wget -q https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a3/CANN-custom_ops-sfa-linux.aarch64.run; then
+        echo "Failed to download CANN-custom_ops-sfa-linux.aarch64.run"
+        return 1
+    fi
+    chmod +x ./CANN-custom_ops-sfa-linux.aarch64.run
+    ./CANN-custom_ops-sfa-linux.aarch64.run --quiet
+    
+    if ! wget -q https://vllm-ascend.obs.cn-north-4.myhuaweicloud.com/vllm-ascend/a3/custom_ops-1.0-cp311-cp311-linux_aarch64.whl; then
+        echo "Failed to download custom_ops wheel"
+        return 1
+    fi
+    pip install custom_ops-1.0-cp311-cp311-linux_aarch64.whl
+    
+export ASCEND_CUSTOM_OPP_PATH=/usr/local/Ascend/ascend-toolkit/latest/opp/vendors/customize:${ASCEND_CUSTOM_OPP_PATH}
+export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/opp/vendors/customize/op_api/lib/:${LD_LIBRARY_PATH}
+source /usr/local/Ascend/ascend-toolkit/set_env.sh
+EOF
+    
+    rm -f CANN-custom_ops-sfa-linux.aarch64.run \
+          custom_ops-1.0-cp311-cp311-linux_aarch64.whl
+    echo "====> Extra components installation completed"
+}
+
 kill_npu_processes() {
   pgrep python3 | xargs -r kill -9
   pgrep VLLM | xargs -r kill -9
@@ -140,6 +166,9 @@ main() {
     checkout_src
     install_sys_dependencies
     install_vllm
+    if [[ "$CONFIG_YAML_PATH" == *"DeepSeek-V3_2-Exp-bf16.yaml" ]]; then
+        install_extra_components
+    fi
     install_ais_bench
     cd "$WORKSPACE/source_code"
     . $SRC_DIR/vllm-ascend/tests/e2e/nightly/multi_node/scripts/build_mooncake.sh