[CI] Try introducing isort. (#3495)

vllm/model_executor/models/qwen2.py

@@ -29,24 +29,24 @@ from torch import nn
 from transformers import Qwen2Config
 
 from vllm.attention import Attention, AttentionMetadata
+from vllm.config import LoRAConfig
 from vllm.model_executor.layers.activation import SiluAndMul
 from vllm.model_executor.layers.layernorm import RMSNorm
 from vllm.model_executor.layers.linear import (LinearMethodBase,
                                                MergedColumnParallelLinear,
                                                QKVParallelLinear,
                                                RowParallelLinear)
-from vllm.model_executor.layers.rotary_embedding import get_rope
 from vllm.model_executor.layers.logits_processor import LogitsProcessor
+from vllm.model_executor.layers.rotary_embedding import get_rope
 from vllm.model_executor.layers.sampler import Sampler
 from vllm.model_executor.layers.vocab_parallel_embedding import (
-    VocabParallelEmbedding, ParallelLMHead)
+    ParallelLMHead, VocabParallelEmbedding)
 from vllm.model_executor.parallel_utils.parallel_state import (
     get_tensor_model_parallel_world_size)
 from vllm.model_executor.sampling_metadata import SamplingMetadata
 from vllm.model_executor.weight_utils import (default_weight_loader,
                                               hf_model_weights_iterator)
 from vllm.sequence import SamplerOutput
-from vllm.config import LoRAConfig
 
 
 class Qwen2MLP(nn.Module):