[Hardware][ROCM] using current_platform.is_rocm (#9642)

Signed-off-by: wangshuai09 <391746016@qq.com>

vllm/model_executor/models/exaone.py

@@ -49,9 +49,9 @@ from vllm.model_executor.layers.vocab_parallel_embedding import (
 from vllm.model_executor.model_loader.weight_utils import (
     default_weight_loader, kv_cache_scales_loader, maybe_remap_kv_scale_name)
 from vllm.model_executor.sampling_metadata import SamplingMetadata
+from vllm.platforms import current_platform
 from vllm.sequence import IntermediateTensors
 from vllm.transformers_utils.configs.exaone import ExaoneConfig
-from vllm.utils import is_hip
 
 from .interfaces import SupportsLoRA, SupportsPP
 from .utils import (PPMissingLayer, is_pp_missing_parameter,
@@ -595,7 +595,7 @@ class ExaoneForCausalLM(nn.Module, SupportsLoRA, SupportsPP):
             if not isinstance(self.transformer.h[layer_idx], nn.Identity):
                 layer_self_attn = self.transformer.h[layer_idx].attn
 
-            if is_hip():
+            if current_platform.is_rocm():
                 # The scaling factor convention we are assuming is
                 # quantized_value * scaling_factor ~= true_value
                 # which is consistent with the practice of setting