[fix] Update get_trtllm_bench_build_command to handle batch size and tokens (NVIDIA#6313)

Signed-off-by: Venky Ganesh <[email protected]>

Author: venkywonka

tests/integration/defs/perf/test_perf.py

@@ -998,7 +998,6 @@ def get_trtllm_bench_model(self):
 
     def get_trtllm_bench_build_command(self, engine_dir) -> list:
         model_dir = self.get_trtllm_bench_model()
-        dataset_path = os.path.join(engine_dir, "synthetic_data.json")
         if model_dir == "":
             pytest.skip("Model Name is not supported by trtllm-bench")
         model_name = self._config.model_name
@@ -1008,13 +1007,19 @@ def get_trtllm_bench_build_command(self, engine_dir) -> list:
         build_cmd = [
             self._build_script, f"--log_level=info",
             f"--workspace={engine_dir}", f"--model={hf_model_name}",
-            f"--model_path={model_dir}", "build", f"--dataset={dataset_path}",
+            f"--model_path={model_dir}", "build",
             f"--tp_size={self._config.tp_size}",
             f"--pp_size={self._config.pp_size}"
         ]
         max_seq_len = max(self._config.input_lens) + max(
             self._config.output_lens)
         build_cmd.append(f"--max_seq_len={max_seq_len}")
+        # Add max_batch_size and max_num_tokens to ensure build matches runtime configuration
+        # Note: trtllm-bench requires both to be specified together (option group constraint)
+        assert self._config.max_batch_size > 0, f"max_batch_size must be > 0, got {self._config.max_batch_size}"
+        assert self._config.max_num_tokens > 0, f"max_num_tokens must be > 0, got {self._config.max_num_tokens}"
+        build_cmd.append(f"--max_batch_size={self._config.max_batch_size}")
+        build_cmd.append(f"--max_num_tokens={self._config.max_num_tokens}")
         if self._config.quantization:
             build_cmd.append(
                 f"--quantization={self._config.quantization.upper()}")