[Bugfix] Remove duplicated config keyword max batch size (#1851)

Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
Signed-off-by: Zhou Taichang <tzhouam@connect.ust.hk>

docs/configuration/gpu_memory_utilization.md

@@ -158,7 +158,7 @@ The stage initialized but ran out of memory during processing.
 
 **Solutions:**
 1. Reduce `max_num_batched_tokens`
-2. Reduce `max_batch_size` in runtime config
+2. Reduce `max_num_seqs` in engine_args
 3. Lower `gpu_memory_utilization` slightly
 4. Enable quantization if supported
 

docs/configuration/pd_disaggregation.md

@@ -32,8 +32,8 @@ stage_args:
     is_prefill_only: true
     runtime:
       devices: "0"
-      max_batch_size: 16
     engine_args:
+      max_num_seqs: 16
       model_stage: thinker
       model_arch: Qwen3OmniMoeForConditionalGeneration
       worker_type: ar
@@ -70,8 +70,8 @@ stage_args:
     is_decode_only: true
     runtime:
       devices: "1"
-      max_batch_size: 64
     engine_args:
+      max_num_seqs: 64
       model_stage: thinker
       model_arch: Qwen3OmniMoeForConditionalGeneration
       worker_type: ar
@@ -128,7 +128,8 @@ After inserting the extra thinker stage, renumber the remaining stages:
   - stage_id: 3
     runtime:
       devices: "2"
-      max_batch_size: 1
+    engine_args:
+      max_num_seqs: 1
     engine_input_source: [2]
     custom_process_input_func: vllm_omni.model_executor.stage_input_processors.qwen3_omni.talker2code2wav
 ```

docs/configuration/stage_configs.md

@@ -36,9 +36,9 @@ stage_args:
     runtime: # The disaggregated configuration
       process: true  # Run this stage in a separate process
       devices: "0" # Visible devices for this stage (CUDA_VISIBLE_DEVICES/torch.cuda.set_device)
-      max_batch_size: 1 # the batch_size for offline inference
     engine_args: # Engine arguments for a certain engine
       model_stage: thinker
+      max_num_seqs: 1
       model_arch: Qwen2_5OmniForConditionalGeneration # The model implementation registered in model_executor/models/registry.py
       worker_type: ar # The specific worker used
       scheduler_cls: vllm_omni.core.sched.omni_ar_scheduler.OmniARScheduler # The specific scehduler used
@@ -62,9 +62,9 @@ stage_args:
     runtime:
       process: true
       devices: "1"
-      max_batch_size: 3
     engine_args:
       model_stage: talker
+      max_num_seqs: 3
       model_arch: Qwen2_5OmniForConditionalGeneration
       worker_type: ar
       scheduler_cls: vllm_omni.core.sched.omni_ar_scheduler.OmniARScheduler
@@ -88,9 +88,9 @@ stage_args:
     runtime:
       process: true
       devices: "0"            # Example: use a different GPU than the previous stage; use "0" if single GPU
-      max_batch_size: 1
     engine_args:
       model_stage: code2wav
+      max_num_seqs: 1
       model_arch: Qwen2_5OmniForConditionalGeneration
       worker_type: generation
       scheduler_cls: vllm_omni.core.sched.omni_generation_scheduler.OmniGenerationScheduler
@@ -159,9 +159,9 @@ Visible devices for this stage, specified as a string. This controls which GPU d
 
 Default: `"0"`
 
-#### `runtime.max_batch_size`
+#### `engine_args.max_num_seqs`
 
-The maximum batch size for offline inference in this stage. This limits how many sequences can be processed together in a single batch during offline inference operations.
+The maximum number of sequences for concurrent processing in this stage. For LLM stages, this controls the vLLM scheduler's maximum concurrent sequences. For all stage types, this also controls how many tasks can be batched together in the task processing loop.
 
 Default: `1`
 

docs/configuration/stage_configs/qwen2_5_omni.yaml

@@ -4,9 +4,9 @@ stage_args:
     runtime:
       process: true            # Run this stage in a separate process
       devices: "0"            # Visible devices for this stage (CUDA_VISIBLE_DEVICES/torch.cuda.set_device)
-      max_batch_size: 1
     engine_args:
       model_stage: thinker
+      max_num_seqs: 1
       model_arch: Qwen2_5OmniForConditionalGeneration
       worker_type: ar
       scheduler_cls: vllm_omni.core.sched.omni_ar_scheduler.OmniARScheduler
@@ -30,9 +30,9 @@ stage_args:
     runtime:
       process: true
       devices: "1"
-      max_batch_size: 1
     engine_args:
       model_stage: talker
+      max_num_seqs: 1
       model_arch: Qwen2_5OmniForConditionalGeneration
       worker_type: ar
       scheduler_cls: vllm_omni.core.sched.omni_ar_scheduler.OmniARScheduler
@@ -56,9 +56,9 @@ stage_args:
     runtime:
       process: true
       devices: "0"            # Example: use a different GPU than the previous stage; use "0" if single GPU
-      max_batch_size: 1
     engine_args:
       model_stage: code2wav
+      max_num_seqs: 1
       model_arch: Qwen2_5OmniForConditionalGeneration
       worker_type: generation
       scheduler_cls: vllm_omni.core.sched.omni_generation_scheduler.OmniGenerationScheduler