[Feat] Supports Aclgraph for bge-m3 (#3171)

### What this PR does / why we need it?
[Feat] Supports Aclgraph for bge-m3

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
```
pytest -s tests/e2e/singlecard/test_embedding.py
pytest -s tests/e2e/singlecard/test_embedding_aclgraph.py
```
to start an online server with bs 10, each batch's seq length=8192, we
set --max-num-batched-tokens=8192*10 to ensure encoder is not chunked:
```
vllm serve /home/data/bge-m3 --max_model_len 1024 --served-model-name "bge-m3" --task embed --host 0.0.0.0 --port 9095 --max-num-batched-tokens 81920 --compilation-config '{"cudagraph_capture_sizes":[8192, 10240, 20480, 40960, 81920]}'
```
For bs10, each batch's seq length=8192, QPS is improved from 85 to 104,
which is a 22% improvement, lots of host bound is reduced.


- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0

---------

Signed-off-by: xuyexiong <xuyexiong@huawei.com>
Co-authored-by: wangyongjun <1104133197@qq.com>

vllm_ascend/patch/__init__.py

@@ -132,3 +132,22 @@
 #       - this is a bug by Ascend only. It can' be fixed in vLLM.
 #    Future Plan:
 #       Fix this bug in torch-npu, bump torch-npu version and remove this patch.
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+#   1. `vllm.model_executor.models.roberta.RobertaEmbedding.forward`
+#    Why:
+#       shift operation in `_encode_token_type_ids` and `_decode_token_type_ids` cannot run in ascend aclgraph mode
+#    How：
+#       Replace shift operation with multiplication and division.
+#    Related PR (if no, explain why):
+#       No, this need CANN add an aclnn shift operation
+#    Future Plan:
+#       Revert this when CANN support shift aclnn operation
+#   2. `vllm.model_executor.models.roberta.RobertaForSequenceClassification.forward `
+#    Why:
+#       shift operation in `_encode_token_type_ids` and `_decode_token_type_ids` cannot run in ascend aclgraph mode
+#    How：
+#       Replace shift operation with multiplication and division.
+#    Related PR (if no, explain why):
+#       No, this need CANN add an aclnn shift operation
+#    Future Plan:
+#       Revert this when CANN support shift aclnn operation