[MISC] Add patch module (#526)

This PR added patch module for vllm
1. platform patch: the patch will be registered when load the platform
2. worker patch: the patch will be registered when worker is started.

The detail is:
1. patch_common: patch for main and 0.8.4 version
4. patch_main: patch for main verison
5. patch_0_8_4: patch for 0.8.4 version

Author: wangxiyuan

docs/source/faqs.md

@@ -72,18 +72,31 @@ Find more details [<u>here</u>](https://github.com/vllm-project/vllm-ascend/issu
 
 ### 6. How to solve the problem of "Failed to infer device type" or "libatb.so: cannot open shared object file"?
 
-Basicly, the reason is that the NNAL environment is not sourced. Please try `source /usr/local/Ascend/nnal/atb/set_env.sh` to solve the problem.
+Basically, the reason is that the NPU environment is not configured correctly. You can:
+1. try `source /usr/local/Ascend/nnal/atb/set_env.sh` to enable NNAL package.
+2. try `source /usr/local/Ascend/ascend-toolkit/set_env.sh` to enable CANN package.
+3. try `npu-smi info` to check whether the NPU is working.
+
+If all above steps are not working, you can try the following code with python to check whether there is any error:
+
+```
+import torch
+import torch_npu
+import vllm
+```
+
+If all above steps are not working, feel free to submit a GitHub issue.
 
 ### 7. Does vllm-ascend support Atlas 300I Duo?
 
 No, vllm-ascend now only supports Atlas A2 series. We are working on it.
 
 ### 8. How does vllm-ascend perform?
 
-Currently, only some models are imporved. Such as `Qwen2 VL`, `Deepseek  V3`. Others are not good enough. In the future, we will support graph mode and custom ops to improve the performance of vllm-ascend. And when the official release of vllm-ascend is released, you can install `mindie-turbo` with `vllm-ascend` to speed up the inference as well.
+Currently, only some models are improved. Such as `Qwen2 VL`, `Deepseek  V3`. Others are not good enough. In the future, we will support graph mode and custom ops to improve the performance of vllm-ascend. And when the official release of vllm-ascend is released, you can install `mindie-turbo` with `vllm-ascend` to speed up the inference as well.
 
 ### 9. How vllm-ascend work with vllm?
-vllm-ascend is a plugin for vllm. Basicly, the version of vllm-ascend is the same as the version of vllm. For example, if you use vllm 0.7.3, you should use vllm-ascend 0.7.3 as well. For main branch, we will make sure `vllm-ascend` and `vllm` are compatible by each commit.
+vllm-ascend is a plugin for vllm. Basically, the version of vllm-ascend is the same as the version of vllm. For example, if you use vllm 0.7.3, you should use vllm-ascend 0.7.3 as well. For main branch, we will make sure `vllm-ascend` and `vllm` are compatible by each commit.
 
 ### 10. Does vllm-ascend support Prefill Disaggregation feature?
 

pyproject.toml

@@ -4,6 +4,7 @@ requires = [
     "cmake>=3.26",
     "decorator",
     "numpy<2.0.0",
+    "packaging",
     "pip",
     "pybind11",
     "pyyaml",

requirements.txt

@@ -2,6 +2,7 @@
 cmake>=3.26
 decorator
 numpy<2.0.0
+packaging
 pybind11
 pyyaml
 scipy

vllm_ascend/__init__.py

@@ -18,6 +18,10 @@
 
 def register():
     """Register the NPU platform."""
+    # Adapt the global patch here.
+    from vllm_ascend.utils import adapt_patch
+    adapt_patch(is_global_patch=True)
+
     return "vllm_ascend.platform.NPUPlatform"
 
 

vllm_ascend/patch/__init__.py

@@ -0,0 +1,27 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# 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.
+
+import vllm
+from packaging.version import Version
+
+# Import common patches for all versions
+from vllm_ascend.patch.platform import patch_common  # noqa: F401
+
+# Import specific patches for different versions
+if Version(vllm.__version__) == Version("0.8.4"):
+    from vllm_ascend.patch.platform import patch_0_8_4  # noqa: F401
+else:
+    from vllm_ascend.patch.platform import patch_main  # noqa: F401

vllm_ascend/patch/platform/__init__.py

@@ -0,0 +1,16 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# 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.
+#

vllm_ascend/patch/platform/patch_0_8_4/__init__.py

@@ -0,0 +1,16 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# 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.
+#

vllm_ascend/patch/platform/patch_common/__init__.py

@@ -0,0 +1,16 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# 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.
+#

vllm_ascend/patch/platform/patch_main/__init__.py

@@ -0,0 +1,27 @@
+#
+# Copyright (c) 2025 Huawei Technologies Co., Ltd. All Rights Reserved.
+# This file is a part of the vllm-ascend project.
+#
+# 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.
+#
+import vllm
+from packaging.version import Version
+
+# Import common patches for all versions
+from vllm_ascend.patch.worker import patch_common  # noqa: F401
+
+# Import specific patches for different versions
+if Version(vllm.__version__) == Version("0.8.4"):
+    from vllm_ascend.patch.worker import patch_0_8_4  # noqa: F401
+else:
+    from vllm_ascend.patch.worker import patch_main  # noqa: F401