Minor style and doc fix (#7228)

docs/backend/attention_backend.md

@@ -3,13 +3,16 @@
 ## Supporting matrix for different attention backends
 
 | **Backend**              | **Page Size > 1** | **Spec Decoding** | **MLA** | **Sliding Window** | **MultiModal** |
-|--------------------------|-------------------|-------------------|--------|--------------------|------------|
-| **FlashInfer** | ✅                | ✅                | ✅     | ✅                 | ✅ |
-| **FA3**                  | ✅                | ✅                | ✅     | ✅                 | ✅ |
-| **Triton**               | ❌                | ✅                | ✅     | ❌                 | ❌ |
-| **Torch Native**         | ❌                | ❌                | ❌     | ❌                 | ❌ |
-| **FlashMLA**                  | ✅                | ✅                | ✅     | ❌                 | ❌ |
-
+|--------------------------|-------------------|-------------------|---------|--------------------|----------------|
+| **FlashInfer**           | ❌                | ✅                 | ✅      | ✅                 | ✅              |
+| **FA3**                  | ✅                | ✅                 | ✅      | ✅                 | ✅              |
+| **Triton**               | ❌                | ✅                 | ✅      | ✅                 | ❌              |
+| **Torch Native**         | ❌                | ❌                 | ❌      | ❌                 | ❌              |
+| **FlashMLA**             | ✅                | ✅                 | ✅      | ❌                 | ❌              |
+
+Note: Every kernel backend is compatible with a page size > 1 by specifying an argument such as `--page-size 16`.
+This is because a page size of 16 can be converted to a page size of 1 in the kernel backend.
+The "❌" and "✅" symbols in the table above under "Page Size > 1" indicate whether the kernel actually operates with a page size greater than 1, rather than treating a page size of 16 as a page size of 1.
 
 ## User guide
 

python/sglang/srt/layers/attention/cutlass_mla_backend.py

@@ -11,8 +11,6 @@ from typing import TYPE_CHECKING, Optional, Union
 import torch
 import triton
 
-from sglang.global_config import global_config
-from sglang.srt.layers.attention.base_attn_backend import AttentionBackend
 from sglang.srt.layers.attention.flashinfer_mla_backend import FlashInferMLAAttnBackend
 from sglang.srt.layers.attention.utils import create_flashmla_kv_indices_triton
 from sglang.srt.layers.dp_attention import get_attention_tp_size
@@ -22,7 +20,6 @@ from sglang.srt.utils import is_cuda
 if TYPE_CHECKING:
     from sglang.srt.layers.radix_attention import RadixAttention
     from sglang.srt.model_executor.model_runner import ModelRunner
-    from sglang.srt.speculative.eagle_utils import EagleDraftInput, EagleVerifyInput
     from sglang.srt.speculative.spec_info import SpecInfo
 
 _is_cuda = is_cuda()

python/sglang/srt/layers/attention/flashattention_backend.py

@@ -11,7 +11,6 @@ from sglang.srt.layers.attention.base_attn_backend import AttentionBackend
 from sglang.srt.managers.schedule_batch import global_server_args_dict
 from sglang.srt.model_executor.forward_batch_info import ForwardBatch, ForwardMode
 from sglang.srt.speculative.eagle_utils import EagleDraftInput, EagleVerifyInput
-from sglang.srt.utils import get_compiler_backend
 
 if TYPE_CHECKING:
     from sglang.srt.layers.radix_attention import RadixAttention

python/sglang/srt/layers/attention/flashmla_backend.py

@@ -14,8 +14,6 @@ import torch
 import triton
 from flash_mla import flash_mla_with_kvcache, get_mla_metadata
 
-from sglang.global_config import global_config
-from sglang.srt.layers.attention.base_attn_backend import AttentionBackend
 from sglang.srt.layers.attention.flashinfer_mla_backend import FlashInferMLAAttnBackend
 from sglang.srt.layers.attention.utils import create_flashmla_kv_indices_triton
 from sglang.srt.layers.dp_attention import get_attention_tp_size
@@ -24,7 +22,6 @@ from sglang.srt.model_executor.forward_batch_info import ForwardBatch, ForwardMo
 if TYPE_CHECKING:
     from sglang.srt.layers.radix_attention import RadixAttention
     from sglang.srt.model_executor.model_runner import ModelRunner
-    from sglang.srt.speculative.eagle_utils import EagleDraftInput, EagleVerifyInput
     from sglang.srt.speculative.spec_info import SpecInfo
 
 
@@ -330,7 +327,7 @@ class FlashMLABackend(FlashInferMLAAttnBackend):
             )
 
     def get_cuda_graph_seq_len_fill_value(self):
-        return 1024
+        return 1
 
     def forward_decode(
         self,