[Bugfix][Model] Fix fusedmoe and make modelrunner_v1 compatible with latest vllm (#867)

### What this PR does / why we need it?
this PR fix CI failure broken by vllm.
1. add moe_config for fused_moe
2. adjust the change for kv cache group from vllm. currently vllm-ascend
doesn't support this feature. this is just a quick fix for backward
compatibility

fix: #872

---------

Signed-off-by: MengqingCao <cmq0113@163.com>

vllm_ascend/attention/attention_v1.py

@@ -30,6 +30,7 @@ from vllm.v1.core.sched.output import SchedulerOutput
 from vllm.v1.worker.gpu_input_batch import InputBatch
 
 from vllm_ascend.ops.attention import vanilla_chunked_prefill
+from vllm_ascend.utils import vllm_version_is
 
 
 class AscendAttentionBackend(AttentionBackend):
@@ -140,8 +141,15 @@ class AscendAttentionMetadataBuilder:
 
     def build(self, num_reqs, num_actual_tokens, max_query_len,
               common_prefix_len):
-        block_table = (
-            self.runner.input_batch.block_table.get_device_tensor()[:num_reqs])
+        if vllm_version_is("0.8.5") or vllm_version_is("0.8.5.post1"):
+            block_table = (self.runner.input_batch.block_table.
+                           get_device_tensor()[:num_reqs])
+        else:
+            block_table = self.runner.input_batch.block_table[
+                0].get_device_tensor()
+            block_table[:num_reqs, :self.runner.max_num_blocks_per_req] = (
+                block_table[:num_reqs])
+
         query_lens = self.runner.query_lens
         seq_lens = self.runner.seq_lens_cpu[:num_reqs]
         slot_mapping = self.runner.slot_mapping_cpu[:num_actual_tokens].to(