[Minor] move triton attention kernels into a separate folder (#1379)

python/sglang/bench_latency.py

@@ -57,9 +57,9 @@ import pandas as pd
 import torch
 import torch.distributed as dist
 
+from sglang.srt.configs.model_config import ModelConfig
 from sglang.srt.hf_transformers_utils import get_tokenizer
 from sglang.srt.managers.schedule_batch import Req, ScheduleBatch
-from sglang.srt.model_config import ModelConfig
 from sglang.srt.model_executor.model_runner import ModelRunner
 from sglang.srt.sampling.sampling_params import SamplingParams
 from sglang.srt.server_args import ServerArgs

python/sglang/srt/constrained/__init__.py

@@ -13,6 +13,8 @@ See the License for the specific language governing permissions and
 limitations under the License.
 """
 
+"""For constrained decoding."""
+
 import json
 from typing import Dict, Optional, Union
 

python/sglang/srt/conversation.py

@@ -13,7 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 """
 
-"""Conversation templates."""
+"""Conversation chat templates."""
 
 # Adapted from
 # https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py

python/sglang/srt/hf_transformers_utils.py

@@ -16,11 +16,9 @@ limitations under the License.
 """Utilities for Huggingface Transformers."""
 
 import contextlib
-import functools
-import json
 import os
 import warnings
-from typing import AbstractSet, Collection, Dict, List, Literal, Optional, Type, Union
+from typing import Dict, Optional, Type, Union
 
 from huggingface_hub import snapshot_download
 from transformers import (

python/sglang/srt/layers/radix_attention.py

@@ -22,13 +22,20 @@ from flashinfer.cascade import merge_state
 from torch import nn
 
 from sglang.global_config import global_config
-from sglang.srt.layers.decode_attention import decode_attention_fwd
-from sglang.srt.layers.extend_attention import extend_attention_fwd
+from sglang.srt.layers.triton_attention.decode_attention import decode_attention_fwd
+from sglang.srt.layers.triton_attention.extend_attention import extend_attention_fwd
 from sglang.srt.model_executor.forward_batch_info import ForwardMode, InputMetadata
 from sglang.srt.model_executor.model_runner import global_server_args_dict
 
 
 class RadixAttention(nn.Module):
+    """
+    The attention layer implementation.
+    Now it has two backends: FlashInfer and Triton.
+    FlashInfer is faster and Triton is easier to customize.
+    It supports two operators: extend (i.e. prefill with cached prefix) and decode.
+    """
+
     def __init__(
         self,
         num_heads: int,
@@ -49,8 +56,10 @@ class RadixAttention(nn.Module):
         self.v_head_dim = v_head_dim if v_head_dim != -1 else head_dim
         self.scaling = scaling
         self.layer_id = layer_id
+        self.logit_cap = logit_cap if logit_cap is not None and logit_cap > 0 else 0
         self.sliding_window_size = sliding_window_size if sliding_window_size else -1
 
+        # Choose backend
         if (
             not global_server_args_dict.get("disable_flashinfer", False)
             and self.qk_head_dim == self.v_head_dim
@@ -61,8 +70,6 @@ class RadixAttention(nn.Module):
             self.extend_forward = self.extend_forward_triton
             self.decode_forward = self.decode_forward_triton
 
-        self.logit_cap = logit_cap if logit_cap is not None and logit_cap > 0 else 0
-
     def extend_forward_triton(self, q, k, v, input_metadata: InputMetadata):
         if self.qk_head_dim != self.v_head_dim:
             o = q.new_empty((q.shape[0], self.tp_q_head_num * self.v_head_dim))

python/sglang/srt/layers/triton_attention/extend_attention.py

@@ -22,7 +22,7 @@ import torch
 import triton
 import triton.language as tl
 
-from sglang.srt.layers.prefill_attention import context_attention_fwd
+from sglang.srt.layers.triton_attention.prefill_attention import context_attention_fwd
 
 CUDA_CAPABILITY = torch.cuda.get_device_capability()
 

python/sglang/srt/managers/tp_worker.py

@@ -29,6 +29,7 @@ import torch.distributed
 import torch.distributed as dist
 
 from sglang.global_config import global_config
+from sglang.srt.configs.model_config import ModelConfig
 from sglang.srt.constrained.fsm_cache import FSMCache
 from sglang.srt.constrained.jump_forward import JumpForwardCache
 from sglang.srt.hf_transformers_utils import get_processor, get_tokenizer
@@ -52,7 +53,6 @@ from sglang.srt.managers.schedule_batch import (
 )
 from sglang.srt.mem_cache.chunk_cache import ChunkCache
 from sglang.srt.mem_cache.radix_cache import RadixCache
-from sglang.srt.model_config import ModelConfig
 from sglang.srt.model_executor.model_runner import ModelRunner
 from sglang.srt.server_args import ServerArgs
 from sglang.srt.utils import (

python/sglang/srt/model_executor/forward_batch_info.py

@@ -15,7 +15,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 """
 
-"""ModelRunner runs the forward passes of the models."""
+"""Meta data for a forward pass."""
 from dataclasses import dataclass
 from enum import IntEnum, auto
 from typing import TYPE_CHECKING, List

python/sglang/srt/model_executor/model_runner.py

@@ -18,7 +18,6 @@ limitations under the License.
 import gc
 import importlib
 import importlib.resources
-import json
 import logging
 import pkgutil
 from functools import lru_cache
@@ -45,6 +44,7 @@ from vllm.model_executor.model_loader import get_model
 from vllm.model_executor.models import ModelRegistry
 
 from sglang.global_config import global_config
+from sglang.srt.configs.model_config import AttentionArch, ModelConfig
 from sglang.srt.layers.logits_processor import LogitsProcessorOutput
 from sglang.srt.layers.sampler import SampleOutput
 from sglang.srt.managers.schedule_batch import ScheduleBatch, global_server_args_dict
@@ -53,7 +53,6 @@ from sglang.srt.mem_cache.memory_pool import (
     MLATokenToKVPool,
     ReqToTokenPool,
 )
-from sglang.srt.model_config import AttentionArch, ModelConfig
 from sglang.srt.model_executor.forward_batch_info import ForwardMode, InputMetadata
 from sglang.srt.server_args import ServerArgs
 from sglang.srt.utils import (