Remove unneeded ROCm platform import when using CUDA (#22765)

Signed-off-by: mgoin <mgoin64@gmail.com>

vllm/attention/backends/rocm_flash_attn.py

@@ -22,7 +22,6 @@ from vllm.logger import init_logger
 from vllm.model_executor.layers.quantization.utils.quant_utils import (
     GroupShape)
 from vllm.platforms import current_platform
-from vllm.platforms.rocm import use_rocm_custom_paged_attention
 
 if TYPE_CHECKING:
     from vllm.worker.model_runner import ModelInputForGPUWithSamplingMetadata
@@ -886,6 +885,7 @@ class ROCmFlashAttentionImpl(AttentionImpl):
             num_seqs, num_heads, head_size = decode_query.shape
             block_size = value_cache.shape[3]
             gqa_ratio = num_heads // self.num_kv_heads
+            from vllm.platforms.rocm import use_rocm_custom_paged_attention
             use_custom = use_rocm_custom_paged_attention(
                 decode_query.dtype, head_size, block_size, gqa_ratio,
                 decode_meta.max_decode_seq_len, self.sliding_window,

vllm/attention/ops/chunked_prefill_paged_decode.py

@@ -11,7 +11,6 @@ import torch
 
 from vllm import _custom_ops as ops
 from vllm.platforms import current_platform
-from vllm.platforms.rocm import use_rocm_custom_paged_attention
 from vllm.triton_utils import tl, triton
 
 from .prefix_prefill import context_attention_fwd
@@ -296,6 +295,7 @@ def chunked_prefill_paged_decode(
     num_queries_per_kv_padded = max(triton.next_power_of_2(num_queries_per_kv),
                                     16)
 
+    from vllm.platforms.rocm import use_rocm_custom_paged_attention
     use_custom = use_rocm_custom_paged_attention(
         query.dtype,
         head_size,