[v1] Cleanup the BlockTable in InputBatch (#13977)

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

tests/v1/worker/test_gpu_model_runner.py

@@ -89,6 +89,17 @@ def _is_sampling_metadata_changed(model_runner,
         sampling_metadata_before)
 
 
+def _is_req_state_block_table_match(model_runner, req_id: str) -> bool:
+    req_index = model_runner.input_batch.req_id_to_index[req_id]
+    block_table = model_runner.input_batch.block_table
+    req_state = model_runner.requests[req_id]
+    if block_table.num_blocks_per_row[req_index] != len(req_state.block_ids):
+        return False
+    num_blocks = block_table.num_blocks_per_row[req_index]
+    return (block_table.block_table_np[req_index, :num_blocks] ==
+            req_state.block_ids).all()
+
+
 def test_update_states_new_request(model_runner):
     req_id = "req_0"
 
@@ -100,6 +111,7 @@ def test_update_states_new_request(model_runner):
     assert _is_sampling_metadata_changed(model_runner, metadata_before)
     assert _is_req_added(model_runner, req_id)
     assert _is_req_scheduled(model_runner, req_id)
+    assert _is_req_state_block_table_match(model_runner, req_id)
 
 
 def test_update_states_request_finished(model_runner):
@@ -185,6 +197,7 @@ def test_update_states_request_resumed(model_runner):
     assert _is_sampling_metadata_changed(model_runner, metadata_before)
     assert _is_req_added(model_runner, req_id)
     assert _is_req_scheduled(model_runner, req_id)
+    assert _is_req_state_block_table_match(model_runner, req_id)
 
 
 def test_update_states_no_changes(model_runner):
@@ -215,6 +228,7 @@ def test_update_states_no_changes(model_runner):
     assert not _is_sampling_metadata_changed(model_runner, metadata_before)
     assert _is_req_added(model_runner, req_id)
     assert _is_req_scheduled(model_runner, req_id)
+    assert _is_req_state_block_table_match(model_runner, req_id)
 
 
 def test_update_states_request_unscheduled(model_runner):

vllm/v1/worker/block_table.py

@@ -15,13 +15,11 @@ class BlockTable:
     def __init__(
         self,
         max_num_reqs: int,
-        max_model_len: int,
         max_num_blocks_per_req: int,
         pin_memory: bool,
         device: torch.device,
     ):
         self.max_num_reqs = max_num_reqs
-        self.max_model_len = max_model_len
         self.max_num_blocks_per_req = max_num_blocks_per_req
         self.pin_memory = pin_memory
         self.device = device
@@ -42,18 +40,19 @@ class BlockTable:
 
     def append_row(
         self,
-        row_idx: int,
-        start: int,
         block_ids: List[int],
+        row_idx: int,
     ) -> None:
         if not block_ids:
             return
         num_blocks = len(block_ids)
+        start = self.num_blocks_per_row[row_idx]
+        self.num_blocks_per_row[row_idx] += num_blocks
         self.block_table_np[row_idx, start:start + num_blocks] = block_ids
-        self.num_blocks_per_row[row_idx] = start + num_blocks
 
-    def add_row(self, row_idx: int, block_ids: List[int]) -> None:
-        self.append_row(row_idx, 0, block_ids)
+    def add_row(self, block_ids: List[int], row_idx: int) -> None:
+        self.num_blocks_per_row[row_idx] = 0
+        self.append_row(block_ids, row_idx)
 
     def move_row(self, src: int, tgt: int) -> None:
         num_blocks = self.num_blocks_per_row[src]

vllm/v1/worker/gpu_input_batch.py

@@ -92,7 +92,6 @@ class InputBatch:
         # Block table.
         self.block_table = BlockTable(
             max_num_reqs=max_num_reqs,
-            max_model_len=max_model_len,
             max_num_blocks_per_req=max_num_blocks_per_req,
             pin_memory=pin_memory,
             device=device,
@@ -249,7 +248,7 @@ class InputBatch:
         self.num_tokens_no_spec[req_index] = request.num_tokens
 
         self.num_computed_tokens_cpu[req_index] = request.num_computed_tokens
-        self.block_table.add_row(req_index, request.block_ids)
+        self.block_table.add_row(request.block_ids, req_index)
 
         sampling_params = request.sampling_params
         if sampling_params.sampling_type == SamplingType.GREEDY:

vllm/v1/worker/gpu_model_runner.py

@@ -399,10 +399,8 @@ class GPUModelRunner(LoRAModelRunnerMixin):
             # Update the persistent batch.
             self.input_batch.num_computed_tokens_cpu[req_index] = (
                 num_computed_tokens)
-            start_index = (len(req_state.block_ids) -
-                           len(req_data.new_block_ids))
-            self.input_batch.block_table.append_row(req_index, start_index,
-                                                    req_data.new_block_ids)
+            self.input_batch.block_table.append_row(req_data.new_block_ids,
+                                                    req_index)
             # Add new_token_ids to token_ids_cpu.
             start_token_index = num_computed_tokens
             end_token_index = num_computed_tokens + len(req_data.new_token_ids)

vllm/v1/worker/tpu_model_runner.py

@@ -247,10 +247,8 @@ class TPUModelRunner:
             # Update the persistent batch.
             self.input_batch.num_computed_tokens_cpu[req_index] = (
                 req_data.num_computed_tokens)
-            start_index = len(req_state.block_ids) - len(
-                req_data.new_block_ids)
-            self.input_batch.block_table.append_row(req_index, start_index,
-                                                    req_data.new_block_ids)
+            self.input_batch.block_table.append_row(req_data.new_block_ids,
+                                                    req_index)
 
         # Add the new or resumed requests to the persistent batch.
         # The smaller empty indices are filled first.