[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
This commit is contained in:
wangxiyuan
2025-04-16 09:28:58 +08:00
committed by GitHub
parent 434749d299
commit bbe7ccd366
16 changed files with 185 additions and 3 deletions

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@@ -72,7 +72,20 @@ 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?
@@ -80,10 +93,10 @@ 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?

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

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

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@@ -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"

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@@ -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

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@@ -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.
#

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@@ -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.
#

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@@ -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.
#

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@@ -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

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@@ -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.
#

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@@ -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.
#

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@@ -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.
#

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@@ -51,3 +51,10 @@ def current_stream() -> torch.npu.Stream:
# we return the default stream.
_current_stream = torch.npu.current_stream()
return _current_stream
def adapt_patch(is_global_patch: bool = False):
if is_global_patch:
from vllm_ascend.patch import platform # noqa: F401
else:
from vllm_ascend.patch import worker # noqa: F401

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@@ -64,6 +64,9 @@ class NPUWorker(LocalOrDistributedWorkerBase):
distributed_init_method: str,
is_driver_worker: bool = False,
model_runner_cls: Optional[Type[ModelRunnerBase]] = None):
# register patch for vllm
from vllm_ascend.utils import adapt_patch
adapt_patch()
# Register ops when worker init.
from vllm_ascend import ops # noqa: F401

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@@ -55,6 +55,9 @@ class NPUWorker(WorkerBase):
# Additional parameters for compatibility with vllm
**kwargs):
"""Initialize the worker for Ascend."""
# register patch for vllm
from vllm_ascend.utils import adapt_patch
adapt_patch()
# Register ops when worker init.
from vllm_ascend import ops # noqa: F401