[FlashInfer] Revert block_size 16 + head_size 256 workaround on Blackwell (#36987)

Signed-off-by: Vadim Gimpelson <vadim.gimpelson@gmail.com>

vllm/model_executor/models/config.py

@@ -6,7 +6,6 @@ from typing import TYPE_CHECKING
 
 from vllm.logger import init_logger
 from vllm.model_executor.models import ModelRegistry
-from vllm.platforms import current_platform
 from vllm.utils.math_utils import cdiv, round_up
 from vllm.utils.torch_utils import STR_DTYPE_TO_TORCH_DTYPE
 from vllm.v1.attention.backends.registry import AttentionBackendEnum
@@ -148,17 +147,6 @@ class HybridAttentionMambaModelConfig(VerifyAndUpdateConfig):
             ).page_size_bytes
         else:
             kernel_block_alignment_size = 16
-            if (
-                current_platform.is_device_capability_family(100)
-                and model_config.get_head_size() == 256
-                and (
-                    attention_config.backend is None
-                    or attention_config.backend == AttentionBackendEnum.FLASHINFER
-                )
-            ):
-                # https://github.com/flashinfer-ai/flashinfer/issues/1993 reports that`
-                # head size 256 and block size 16 is not supported on blackwell.
-                kernel_block_alignment_size = 32
             attn_page_size_1_token = FullAttentionSpec(
                 block_size=1,
                 num_kv_heads=model_config.get_num_kv_heads(parallel_config),

vllm/v1/attention/backends/flashinfer.py

@@ -630,15 +630,6 @@ class FlashInferMetadataBuilder(AttentionMetadataBuilder[FlashInferMetadata]):
         self.paged_kv_indices = self._make_buffer(max_num_pages)
         self.paged_kv_last_page_len = self._make_buffer(max_num_reqs)
 
-        if self.head_dim == 256 and current_platform.is_device_capability_family(100):
-            # https://github.com/flashinfer-ai/flashinfer/issues/1993 reports that
-            # head size 256 and block size 16 is not supported on blackwell.
-            assert kv_cache_spec.block_size != 16, (
-                "There is a bug in FlashInfer "
-                "block_size 16 head size 256 support. Please avoid this combination by "
-                "passing --block-size 32 or --block-size 64."
-            )
-
     def _make_buffer(
         self, *size: int | torch.SymInt, dtype: torch.dtype = torch.int32
     ) -> CpuGpuBuffer: