faster pickle

nanovllm/engine/model_runner.py

@@ -183,9 +183,11 @@ class ModelRunner:
         else:
             bs = input_ids.size(0)
             context = get_context()
-            self.reset_graph_vars()
             graph = self.graphs[next(x for x in self.graph_bs if x >= bs)]
             graph_vars = self.graph_vars
+            for k, v in graph_vars.items():
+                if k != "outputs":
+                    v.zero_()
             graph_vars["input_ids"][:bs] = input_ids
             graph_vars["positions"][:bs] = positions
             graph_vars["slot_mapping"][:bs] = context.slot_mapping
@@ -194,14 +196,6 @@ class ModelRunner:
             graph.replay()
             return self.model.compute_logits(graph_vars["outputs"][:bs])
 
-    def reset_graph_vars(self):
-        graph_vars = self.graph_vars
-        graph_vars["input_ids"].zero_()
-        graph_vars["positions"].zero_()
-        graph_vars["slot_mapping"].zero_()
-        graph_vars["context_lens"].zero_()
-        graph_vars["block_tables"].zero_()
-    
     def run(self, seqs: list[Sequence], is_prefill: bool) -> list[int]:
         input_ids, positions = self.prepare_prefill(seqs) if is_prefill else self.prepare_decode(seqs)
         temperatures = self.prepare_sample(seqs) if self.rank == 0 else None

nanovllm/engine/sequence.py

@@ -72,14 +72,12 @@ class Sequence:
         self.num_tokens += 1
 
     def __getstate__(self):
-        state = {
+        return (self.num_tokens, self.num_prompt_tokens, self.num_cached_tokens, self.block_table,
-            "num_tokens": self.num_tokens,
+                self.token_ids if self.num_completion_tokens == 0 else self.last_token)
-            "num_prompt_tokens": self.num_prompt_tokens,
+
-            "num_cached_tokens": self.num_cached_tokens,
+    def __setstate__(self, state):
-            "block_table": self.block_table,
+        self.num_tokens, self.num_prompt_tokens, self.num_cached_tokens, self.block_table = state[:-1]
-        }
         if self.num_completion_tokens == 0:
-            state["token_ids"] = self.token_ids
+            self.token_ids = state[-1]
         else:
-            state["last_token"] = self.last_token
+            self.last_token = state[-1]
-        return state

pyproject.toml

@@ -16,7 +16,6 @@ dependencies = [
     "triton>=3.0.0",
     "transformers>=4.51.0",
     "flash-attn",
-    "nvidia-ml-py",
     "xxhash",
 ]