fix: NIXL connector transfers partial block to pass full multi-modal context (#21074)

Signed-off-by: GuanLuo <gluo@nvidia.com>

tests/v1/kv_connector/unit/test_nixl_connector.py

@@ -173,9 +173,9 @@ def test_prompt_less_than_block_size():
     """
     Test that we can handle case where prompt is < block.
 
-    In this case, the P worker will send empty remote_block_ids.
-    The D worker should not schedule an async read in this case,
-    since there is nothing to pull.
+    In this case, the P worker will still send remote_block_ids of the
+    partial block. The D worker should schedule an async read
+    in this case.
     """
     vllm_config = create_vllm_config()
     scheduler = create_scheduler(vllm_config)
@@ -184,22 +184,20 @@ def test_prompt_less_than_block_size():
     BLOCK_SIZE = vllm_config.cache_config.block_size
     NUM_TOKENS = int(BLOCK_SIZE * 0.5)
 
-    # Request will have 0 remote blocks.
+    # Request will have 1 partial remote block.
     request = create_request(request_id=1,
                              num_tokens=NUM_TOKENS,
                              do_remote_prefill=True,
-                             num_remote_blocks=0)
+                             num_remote_blocks=1)
     scheduler.add_request(request)
     scheduler_output = scheduler.schedule()
 
-    # This request should not have to read async.
+    # This request will read async.
     kv_connector_metadata = scheduler_output.kv_connector_metadata
     assert kv_connector_metadata is not None
     assert isinstance(kv_connector_metadata, NixlConnectorMetadata)
-    assert len(kv_connector_metadata.reqs_to_recv) == 0
-
-    # This request should be scheduled regularly.
-    assert len(scheduler_output.scheduled_new_reqs) == 1
+    assert len(kv_connector_metadata.reqs_to_recv) == 1
+    assert len(scheduler_output.scheduled_new_reqs) == 0
 
 
 class FakeNixlConnectorWorker(NixlConnectorWorker):

tests/v1/kv_connector/unit/test_remote_decode_lifecycle.py

@@ -121,13 +121,18 @@ def test_short_prompt_lifecycle():
     model_runner_output = create_model_runner_output(reqs=[request])
 
     # (1c): update_from_output()
-    # Since tokens < block_size, there will be no kv xfer.
-    # So this should be cleaned up immediately.
-    _ = scheduler.update_from_output(scheduler_output, model_runner_output)
+    # Even though tokens < block_size, there will be kv xfer for partial block.
+    eco = scheduler.update_from_output(scheduler_output, model_runner_output)
+    kv_transfer_params = eco[0].outputs[0].kv_transfer_params
+
+    assert (len(kv_transfer_params["remote_block_ids"]) == 1)
 
     # Confirm we do not have any memory leaks after req lifecycle.
-    # We need one more call to schedule() to clear data for persistent batch.
-    _ = scheduler.schedule()
+    # We need to mark sending finish to clear data for persistent batch.
+    scheduler_output = scheduler.schedule()
+    model_runner_output = copy.deepcopy(EMPTY_MODEL_RUNNER_OUTPUT)
+    model_runner_output.finished_sending = [request.request_id]
+    scheduler.update_from_output(scheduler_output, model_runner_output)
     assert_scheduler_empty(scheduler)
 
 
@@ -169,16 +174,16 @@ def test_prefix_cache_lifecycle():
     eco = scheduler.update_from_output(scheduler_output, model_runner_output)
     kv_transfer_params = eco[0].outputs[0].kv_transfer_params
 
-    # Ensure we send all block ids, even if there is a cache hit.
+    # Ensure we send all block ids, including the partial blocks,
+    # even if there is a cache hit.
     assert (len(
-        kv_transfer_params["remote_block_ids"]) == NUM_EXTERNAL_FULL_BLOCKS)
+        kv_transfer_params["remote_block_ids"]) == (NUM_EXTERNAL_FULL_BLOCKS +
+                                                    1))
 
     # STEP (2): Ensure it is freed.
     scheduler_output = scheduler.schedule()
-    scheduler.schedule()
     model_runner_output = copy.deepcopy(EMPTY_MODEL_RUNNER_OUTPUT)
     model_runner_output.kv_connector_output = KVConnectorOutput(
         finished_sending=[request_remote.request_id])
     scheduler.update_from_output(scheduler_output, model_runner_output)
-    _ = scheduler.schedule()
     assert_scheduler_empty(scheduler)

tests/v1/kv_connector/unit/test_remote_prefill_lifecycle.py

@@ -362,7 +362,7 @@ def test_cannot_schedule_after_recv():
     BLOCK_SIZE = vllm_config.cache_config.block_size
     # Prompt will use 2 blocks + 1 block after we schedule.
     NUM_TOKENS_LOCAL = int(BLOCK_SIZE * NUM_PROMPT_BLOCKS)
-    NUM_TOKENS_REMOTE = int(BLOCK_SIZE * (NUM_PROMPT_BLOCKS + 0.5))
+    NUM_TOKENS_REMOTE = int(BLOCK_SIZE * NUM_PROMPT_BLOCKS)
 
     request_normal = create_request(request_id=1, num_tokens=NUM_TOKENS_LOCAL)
     request_remote = create_request(request_id=2,
@@ -393,14 +393,24 @@ def test_cannot_schedule_after_recv():
     assert len(scheduler.running) == 1
     assert len(scheduler.waiting) == 1
 
-    # Step 4: try to schedule, not enough blocks.
+    # Step 4: try to schedule, remote request is put to running list
+    # because the transfer is completed.
+    scheduler_output = scheduler.schedule()
+    model_runner_output = create_model_runner_output(
+        reqs=[request_normal, request_remote])
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+    assert len(scheduler.running) == 2
+    assert len(scheduler.waiting) == 0
+
+    # Step 5: Remote request will be put back to waiting list
+    # because it needs new block to hold generated token.
     scheduler_output = scheduler.schedule()
     model_runner_output = create_model_runner_output(reqs=[request_normal])
     scheduler.update_from_output(scheduler_output, model_runner_output)
     assert len(scheduler.running) == 1
     assert len(scheduler.waiting) == 1
 
-    # Step 5: finish the request, free it.
+    # Step 6: finish the request, free it.
     scheduler_output = scheduler.schedule()
     model_runner_output = create_model_runner_output(reqs=[request_normal],
                                                      use_eos=True)
@@ -408,15 +418,99 @@ def test_cannot_schedule_after_recv():
     assert len(scheduler.running) == 0
     assert len(scheduler.waiting) == 1
 
-    # Step 6: now we can schedule (with 2 blocks computed).
+    # Step 7: now we can schedule (with 2 blocks computed),
+    # request is retrieved from preempted list.
     scheduler_output = scheduler.schedule()
     model_runner_output = create_model_runner_output(reqs=[request_remote])
-    assert (scheduler_output.scheduled_new_reqs[0].num_computed_tokens ==
+    assert (scheduler_output.scheduled_cached_reqs.num_computed_tokens[0] ==
             NUM_PROMPT_BLOCKS * BLOCK_SIZE)
     scheduler.update_from_output(scheduler_output, model_runner_output)
     assert len(scheduler.running) == 1
     assert len(scheduler.waiting) == 0
 
+    # Step 8: free everything.
+    scheduler_output = scheduler.schedule()
+    model_runner_output = create_model_runner_output(reqs=[request_remote],
+                                                     use_eos=True)
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+    _ = scheduler.schedule()
+    assert_scheduler_empty(scheduler)
+
+
+def test_cannot_recv():
+    """
+    Test that we can handle no schedule KV block transfer due to not
+    enough remaining KV blocks.
+    """
+
+    # NOTE: the KVCacheManager will use 1 null block.
+    # So there are 5 total working blocks.
+    TOTAL_NUM_BLOCKS = 6
+    vllm_config = create_vllm_config()
+    scheduler = create_scheduler(vllm_config, num_blocks=TOTAL_NUM_BLOCKS)
+
+    # Prime the KVCache.
+    NUM_PROMPT_BLOCKS = 2
+    BLOCK_SIZE = vllm_config.cache_config.block_size
+    # Prompt will use 2 blocks + 1 block after we schedule.
+    NUM_TOKENS_LOCAL = int(BLOCK_SIZE * NUM_PROMPT_BLOCKS)
+    NUM_TOKENS_REMOTE = int(BLOCK_SIZE * (NUM_PROMPT_BLOCKS + 0.5))
+
+    request_normal = create_request(request_id=1, num_tokens=NUM_TOKENS_LOCAL)
+    request_remote = create_request(request_id=2,
+                                    num_tokens=NUM_TOKENS_REMOTE,
+                                    do_remote_prefill=True)
+
+    # STEP 1: 3 blocks are in use (2 for prompt, 1 for decode).
+    scheduler.add_request(request_normal)
+    scheduler_output = scheduler.schedule()
+    model_runner_output = create_model_runner_output(reqs=[request_normal])
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+    assert len(scheduler.running) == 1
+    assert len(scheduler.waiting) == 0
+
+    # Step 2: 3 blocks are in use,
+    # need 3 new for remote blocks but only 2 are available.
+    scheduler.add_request(request_remote)
+    scheduler_output = scheduler.schedule()
+    model_runner_output = create_model_runner_output(reqs=[request_normal])
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+    assert len(scheduler.running) == 1
+    assert len(scheduler.waiting) == 1
+    # Should not have KV transfer in progress.
+    assert (request_remote.status != RequestStatus.WAITING_FOR_REMOTE_KVS)
+
+    # Step 3: finish the request, free it.
+    scheduler_output = scheduler.schedule()
+    model_runner_output = create_model_runner_output(reqs=[request_normal],
+                                                     use_eos=True)
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+    assert len(scheduler.running) == 0
+    assert len(scheduler.waiting) == 1
+
+    # Step 4: now we can initiate KV transfer (with 2 blocks computed).
+    scheduler_output = scheduler.schedule()
+    model_runner_output = create_model_runner_output(reqs=[])
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+    assert len(scheduler.running) == 0
+    assert len(scheduler.waiting) == 1
+    assert (request_remote.status == RequestStatus.WAITING_FOR_REMOTE_KVS)
+
+    # Step 5: finish recving (5 blocks in use)
+    scheduler_output = scheduler.schedule()
+    model_runner_output = create_model_runner_output(
+        reqs=[], finished_recving=[request_remote.request_id])
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+    assert len(scheduler.running) == 0
+    assert len(scheduler.waiting) == 1
+
+    # Step 6: schedule remote request
+    scheduler_output = scheduler.schedule()
+    model_runner_output = create_model_runner_output(reqs=[request_remote])
+    scheduler.update_from_output(scheduler_output, model_runner_output)
+    assert len(scheduler.running) == 1
+    assert len(scheduler.waiting) == 0
+
     # Step 7: free everything.
     scheduler_output = scheduler.schedule()
     model_runner_output = create_model_runner_output(reqs=[request_remote],

vllm/distributed/kv_transfer/kv_connector/v1/nixl_connector.py

@@ -29,7 +29,7 @@ from vllm.distributed.utils import divide
 from vllm.forward_context import ForwardContext
 from vllm.logger import init_logger
 from vllm.platforms import _Backend, current_platform
-from vllm.utils import make_zmq_path, make_zmq_socket, round_down
+from vllm.utils import make_zmq_path, make_zmq_socket
 from vllm.v1.core.sched.output import SchedulerOutput
 from vllm.v1.request import RequestStatus
 
@@ -275,10 +275,7 @@ class NixlConnectorScheduler:
 
         if params is not None and params.get("do_remote_prefill"):
             # Remote prefill: get all prompt blocks from remote.
-            assert num_computed_tokens % self.block_size == 0
-            rounded_num_prompt_tokens = round_down(
-                len(request.prompt_token_ids), self.block_size)
-            count = max(rounded_num_prompt_tokens - num_computed_tokens, 0)
+            count = len(request.prompt_token_ids) - num_computed_tokens
             if count > 0:
                 return count, True
 
@@ -301,18 +298,16 @@ class NixlConnectorScheduler:
             # NOTE: when accelerator is not directly supported by Nixl,
             # prefilled blocks need to be saved to host memory before transfer.
 
-            # figure out full computed blocks to save
+            # save all blocks
             block_ids = blocks.get_block_ids()[0]
-            all_full = request.num_tokens % self.block_size == 0
-            full_block_ids = (block_ids if all_full else block_ids[:-1])
             # TODO: skip the blocks that are already in the host xfer buffer.
             # Currently, the host xfer buffer block is 1-to-1 mapped to device
             # kv blocks, so host blocks won't be flushed as long as its device
             # block is not overwritten; and it will be safe to skip saving them
             # to host xfer buffer.
-            if full_block_ids:
+            if block_ids:
                 self._reqs_need_save[request.request_id] = \
-                    (request, full_block_ids)
+                    (request, block_ids)
         elif params.get("do_remote_prefill"):
             if params.get("remote_block_ids"):
                 if all(p in params for p in ("remote_engine_id", "remote_host",
@@ -401,12 +396,9 @@ class NixlConnectorScheduler:
                 or request.status != RequestStatus.FINISHED_LENGTH_CAPPED):
             return False, None
 
-        # Get computed blocks.
-        all_full = request.num_computed_tokens % self.block_size == 0
-        computed_block_ids = block_ids if all_full else block_ids[:-1]
-
-        # If prompt < block_size, no xfer so free blocks immediately.
-        delay_free_blocks = len(computed_block_ids) > 0
+        # TODO: check whether block_ids actually ever be 0. If not we could
+        # remove the conditional below
+        delay_free_blocks = len(block_ids) > 0
 
         if delay_free_blocks:
             # Prefill request on remote. It will be read from D upon completion
@@ -416,7 +408,7 @@ class NixlConnectorScheduler:
         return delay_free_blocks, dict(
             do_remote_prefill=True,
             do_remote_decode=False,
-            remote_block_ids=computed_block_ids,
+            remote_block_ids=block_ids,
             remote_engine_id=self.engine_id,
             remote_host=self.side_channel_host,
             remote_port=self.side_channel_port,