554f16ae1f
### What this PR does / why we need it? This PR introduces support for adding custom CANN `aclnn` ops to `vllm-ascend`, allowing users to define and use their own custom operators. Key changes include: - Building and installing custom ops into the `vllm-ascend`-specified directory - Binding the `aclnn` op interface to the `torch.ops._C_ascend` module - Enabling invocation of these ops within `vllm-ascend` This PR includes a sample custom op: `aclnnGroupedMatmulSwigluQuantWeightNzTensorList`, which is adapted from the CANN operator [`aclnnGroupedMatmulSwigluQuantWeightNZ`](https://www.hiascend.com/document/detail/zh/canncommercial/83RC1/API/aolapi/context/aclnnGroupedMatmulSwigluQuantWeightNZ.md). Its input parameters `weight` and `weight_scale` now accept `list[torch.Tensor]` (i.e., `at::TensorList`). ### Does this PR introduce _any_ user-facing change? No. - vLLM version: v0.11.2 --------- Signed-off-by: QianChenxi <chenxi.qian.cq@outlook.com>
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373 B
Markdown
17 lines
373 B
Markdown
# Feature Guide
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This section provides an overview of the features implemented in vLLM Ascend. Developers can refer to this guide to understand how vLLM Ascend works.
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:::{toctree}
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:caption: Feature Guide
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:maxdepth: 1
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patch
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ModelRunner_prepare_inputs
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disaggregated_prefill
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eplb_swift_balancer.md
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Multi_Token_Prediction
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ACL_Graph
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KV_Cache_Pool_Guide
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add_custom_aclnn_op
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:::
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