[Revert] Remove CUDA torch fallbacks for fp8_mqa_logits/fp8_paged_mqa_logits_torch function (#37968)

Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>

vllm/v1/attention/backends/mla/indexer.py

@@ -9,6 +9,7 @@ from vllm.logger import init_logger
 from vllm.platforms import current_platform
 from vllm.utils.deep_gemm import (
     get_paged_mqa_logits_metadata,
+    has_deep_gemm,
     is_deep_gemm_supported,
 )
 from vllm.utils.math_utils import cdiv
@@ -449,7 +450,7 @@ class DeepseekV32IndexerMetadataBuilder(AttentionMetadataBuilder):
                 batch_size = num_decodes
 
             # DeepGEMM is required for the paged MQA logits on CUDA devices
-            if current_platform.is_cuda() and is_deep_gemm_supported():
+            if current_platform.is_cuda() and has_deep_gemm():
                 self.scheduler_metadata_buffer[:] = get_paged_mqa_logits_metadata(
                     seq_lens,
                     self.kv_cache_spec.block_size,