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### What this PR does / why we need it?
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This PR supports the access of vllm-acend to the piecewise_graph feature
provided by the v1 engine.
1. register unifiled_ascend_attention_with_output for piecewise_graph to
split graph.
2. support NPUGraph to accelerate kernel launch.
### Does this PR introduce _any_ user-facing change?
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support npugraph to default， Users can disenable the npugraph feature by
configuring enforce_eager.
This has corresponding requirements for the versions of torch_npu and
CANN, and they need to support graph capture.
### How was this patch tested?
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it turn to default
---------
Signed-off-by: Bug Hunter Yan <yanpq@zju.edu.cn>
Signed-off-by: Yizhou Liu <liu_yizhou@outlook.com>
Co-authored-by: Yizhou Liu <liu_yizhou@outlook.com>
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
### What this PR does / why we need it?
This PR enable custom ops build by default.
### Does this PR introduce _any_ user-facing change?
Yes, users now install vllm-ascend from source will trigger custom ops
build step.
### How was this patch tested?
By image build and e2e CI
---------
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
Set torchvision<0.21.0 to match torch/torch_npu version to resolve
`RuntimeError: operator torchvision::nms does not exist`.
Closes: https://github.com/vllm-project/vllm-ascend/issues/477
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
vLLM bumps numpy version to 2.x:
8427f70493
, this will cause a
`pip._vendor.pkg_resources.ContextualVersionConflict: (numpy 2.2.4
(/usr/local/python3.10/lib/python3.10/site-packages),
Requirement.parse('numpy==1.26.4'), {'vllm-ascend'})` failure when vllm
ascend install. This PR resolved the issue by:
- Set numpy < 2.0.0 to resolve numpy VersionConflict
- Sync requirements and toml
- Reorder
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI passed
Closes: https://github.com/vllm-project/vllm-ascend/issues/473
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
### What this PR does / why we need it?
This PR updates the dependency version of vllm-ascend on torch-npu, so
that the vllm-ascend can be installed in a later version environment
(like to torch-npu 2.6.0rc1),
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
CI Test
Signed-off-by: ji-huazhong <hzji210@gmail.com>
