[npugraph_ex]enable npugraph_ex by default (#6664)
### What this PR does / why we need it? This pull request enables the `npugraph_ex` backend by default to improve performance on Ascend NPUs, as proposed in the [RFC](https://github.com/vllm-project/vllm-ascend/issues/6214). ### Does this PR introduce _any_ user-facing change? Yes. `npugraph_ex` is now enabled by default. Users can disable it by setting `enable: false` in the `npugraph_ex_config` section of the `additional_config`. ### How was this patch tested? CI passed. The changes are covered by existing and new E2E tests (`test_aclgraph_accuracy.py`) and unit tests (`test_ascend_config.py`) that have been updated to reflect the new default behavior. The tests verify correctness and consistency with `npugraph_ex` enabled and disabled, as well as with the new static kernel option. Signed-off-by: huyuanquan1 <huyuanquan1@huawei.com> Co-authored-by: huyuanquan1 <huyuanquan1@huawei.com>
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@@ -88,7 +88,7 @@ def npugraph_ex_compile(
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# that can trigger the compilation of static kernel. If this configuration is
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# not applied, new shapes will trigger the compilation of static kernels,
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# affecting program execution.
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num_spec_tokens = vllm_config.speculative_config.num_speculative_token if vllm_config.speculative_config else 0
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num_spec_tokens = vllm_config.speculative_config.num_speculative_tokens if vllm_config.speculative_config else 0
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uniform_decode_query_len = num_spec_tokens + 1
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max_num_tokens = vllm_config.scheduler_config.max_num_seqs * uniform_decode_query_len
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decode_cudagraph_batch_sizes = [
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