Minor: style improvement of radix_cache and memory_pool

python/sglang/srt/managers/router/infer_batch.py

@@ -236,9 +236,8 @@ def prepare_for_extend(self, vocab_size: int, int_token_logit_bias: torch.Tensor
         extend_num_tokens = seq_lens.sum() - prefix_lens.sum()
         out_cache_loc = self.token_to_kv_pool.alloc(extend_num_tokens)
         if out_cache_loc is None:
-            if not self.tree_cache.disable:
-                self.tree_cache.evict(extend_num_tokens, self.token_to_kv_pool.free)
-                out_cache_loc = self.token_to_kv_pool.alloc(extend_num_tokens)
+            self.tree_cache.evict(extend_num_tokens, self.token_to_kv_pool.dec_refs)
+            out_cache_loc = self.token_to_kv_pool.alloc(extend_num_tokens)
 
             if out_cache_loc is None:
                 print("Prefill out of memory. This should never happen.")
@@ -307,8 +306,8 @@ def check_decode_mem(self):
         if self.token_to_kv_pool.available_size() >= bs:
             return True
 
-        if not self.tree_cache.disable:
-            self.tree_cache.evict(bs, self.token_to_kv_pool.free)
+        self.tree_cache.evict(bs, self.token_to_kv_pool.dec_refs)
+
         if self.token_to_kv_pool.available_size() >= bs:
             return True
 
@@ -341,7 +340,7 @@ def retract_decode(self):
             token_indices = self.req_to_token_pool.req_to_token[
                 req_pool_indices_np[idx]
             ][: seq_lens_np[idx]]
-            self.token_to_kv_pool.free(token_indices)
+            self.token_to_kv_pool.dec_refs(token_indices)
 
         self.filter_batch(sorted_indices)
 
@@ -372,7 +371,7 @@ def check_for_jump_forward(self):
                     prefix_len = self.tree_cache.insert(
                         token_ids_in_memory, indices.clone()
                     )
-                    self.token_to_kv_pool.free(indices[:prefix_len])
+                    self.token_to_kv_pool.dec_refs(indices[:prefix_len])
                     self.req_to_token_pool.free(req_pool_idx)
                     self.tree_cache.dec_ref_counter(req.last_node)
 

python/sglang/srt/managers/router/model_rpc.py

@@ -113,7 +113,7 @@ def __init__(
         logger.info(server_args.get_optional_modes_logging())
 
         # Init cache
-        self.tree_cache = RadixCache(server_args.disable_radix_cache)
+        self.tree_cache = RadixCache(disable=server_args.disable_radix_cache)
         self.tree_cache_metrics = {"total": 0, "hit": 0}
         self.scheduler = Scheduler(
             self.schedule_heuristic,
@@ -626,7 +626,7 @@ def handle_finished_requests(self, batch: Batch):
                     token_ids[:seq_len], indices.clone()
                 )
 
-                self.token_to_kv_pool.free(indices[:prefix_len])
+                self.token_to_kv_pool.dec_refs(indices[:prefix_len])
                 self.req_to_token_pool.free(req_pool_idx)
                 self.tree_cache.dec_ref_counter(req.last_node)
 

python/sglang/srt/managers/router/radix_cache.py

@@ -1,8 +1,6 @@
 import heapq
 import time
 from collections import defaultdict
-from dataclasses import dataclass
-from typing import Tuple
 
 import torch
 
@@ -16,23 +14,23 @@ def __init__(self):
         self.ref_counter = 0
         self.last_access_time = time.time()
 
-    def __lt__(self, other):
+    def __lt__(self, other: "TreeNode"):
         return self.last_access_time < other.last_access_time
 
 
-def match(key, seq):
+def _key_match(key0, key1):
     i = 0
-    for k, w in zip(key, seq):
-        if k != w:
+    for k0, k1 in zip(key0, key1):
+        if k0 != k1:
             break
         i += 1
     return i
 
 
 class RadixCache:
-    def __init__(self, disable=False):
-        self.reset()
+    def __init__(self, disable: bool = False):
         self.disable = disable
+        self.reset()
 
     ##### Public API #####
 
@@ -71,7 +69,7 @@ def total_size(self):
 
     def evict(self, num_tokens, evict_callback):
         if self.disable:
-            raise RuntimeError()
+            return
 
         leaves = self._collect_leaves()
         heapq.heapify(leaves)
@@ -115,14 +113,15 @@ def evictable_size(self):
         return self.evictable_size_
 
     ##### Internal Helper Functions #####
+
     def _match_prefix_helper(self, node, key, value, last_node):
         node.last_access_time = time.time()
         if len(key) == 0:
             return
 
         if key[0] in node.children.keys():
             child = node.children[key[0]]
-            prefix_len = match(child.key, key)
+            prefix_len = _key_match(child.key, key)
             if prefix_len < len(child.key):
                 new_node = self._split_node(child.key, child, prefix_len)
                 value.append(new_node.value)
@@ -153,7 +152,7 @@ def _insert_helper(self, node, key, value):
 
         if key[0] in node.children.keys():
             child = node.children[key[0]]
-            prefix_len = match(child.key, key)
+            prefix_len = _key_match(child.key, key)
 
             if prefix_len == len(child.key):
                 if prefix_len == len(key):
@@ -212,7 +211,7 @@ def dfs_(cur_node):
 
 
 if __name__ == "__main__":
-    tree = RadixCache(disable=False)
+    tree = RadixCache()
 
     tree.insert("Hello")
     tree.insert("Hello")

python/sglang/srt/memory_pool.py

@@ -31,9 +31,6 @@ def free(self, free_index):
             self.can_use_mem_size += free_index.shape[0]
         self.mem_state[free_index] = 1
 
-        # if self.can_use_mem_size == len(self.mem_state):
-        #     print(f"ReqToTokenPool: freed all. size = {self.can_use_mem_size}.")
-
     def clear(self):
         self.mem_state.fill_(1)
         self.can_use_mem_size = len(self.mem_state)
@@ -42,7 +39,7 @@ def clear(self):
 class TokenToKVPool:
     def __init__(self, size, dtype, head_num, head_dim, layer_num):
         self.mem_state = torch.zeros((size,), dtype=torch.int16, device="cuda")
-        self.alloc_ct = 0
+        self.total_ref_ct = 0
 
         # [size, key/value, head_num, head_dim] for each layer
         self.kv_data = [
@@ -83,30 +80,24 @@ def alloc_contiguous(self, need_size):
         self.add_refs(select_index)
         return select_index.to(torch.int32), start_loc, start_loc + need_size
 
-    def free(self, free_index):
-        return self.decrease_refs(free_index)
-
     def used_size(self):
         return len(torch.nonzero(self.mem_state).squeeze(1))
 
     def available_size(self):
         return torch.sum(self.mem_state == 0).item()
 
     def add_refs(self, token_index: torch.Tensor):
-        self.alloc_ct += len(token_index)
+        self.total_ref_ct += len(token_index)
         self.mem_state[token_index] += 1
 
-    def decrease_refs(self, token_index: torch.Tensor):
-        self.alloc_ct -= len(token_index)
+    def dec_refs(self, token_index: torch.Tensor):
+        self.total_ref_ct -= len(token_index)
         self.mem_state[token_index] -= 1
 
         num_freed = torch.sum(self.mem_state[token_index] == 0)
 
-        # if self.alloc_ct == 0:
-        #     print(f"TokenToKVPool: freed all. size = {len(self.mem_state)}.")
-
         return num_freed
 
     def clear(self):
         self.mem_state.fill_(0)
-        self.alloc_ct = 0
+        self.total_ref_ct = 0

python/sglang/srt/server.py

@@ -500,7 +500,7 @@ async def gnerate_stream_resp():
     return response
 
 
-def launch_server(server_args, pipe_finish_writer):
+def launch_server(server_args: ServerArgs, pipe_finish_writer):
     global tokenizer_manager
     global chat_template_name
 

test/srt/model/test_llama_low_api.py

@@ -105,7 +105,7 @@ def decode(print_logits):
 
     for i in range(batch_size):
         req_idx = req_pool_indices[i].item()
-        model.token_to_kv_pool.free(
+        model.token_to_kv_pool.dec_refs(
             model.req_to_token_pool.req_to_token[req_idx, : seq_lens[i]]
         )
     model.req_to_token_pool.free(req_pool_indices)