add throughput mode to validation scripts

make raptor also emit input sizes

validation/tools/yolo_local_image_validation.py

@@ -21,7 +21,7 @@ if sys.version_info < (3, 10):
         "Run it with a newer interpreter, for example your project venv Python."
     )
 
-from raptor_validation.onnx_utils import _ONNX_TO_NP, onnx_io, write_inputs_to_memory_bin
+from raptor_validation.onnx_utils import _ONNX_TO_NP, onnx_io, write_inputs_binary, write_inputs_to_memory_bin
 from raptor_validation.validate_one import (
     MODE_COMPILE_ONLY,
     build_dump_ranges,
@@ -137,6 +137,8 @@ def run_local_reference_and_simulator(args, network_dir: Path, network_onnx_path
 
     tensor = np.loadtxt(paths["input_csv"], delimiter=",", dtype=np.float32).reshape(1, 3, 640, 640)
     write_inputs_to_memory_bin(paths["raptor_pim"] / "memory.bin", paths["raptor_pim"] / "config.json", [tensor])
+    input_bin = paths["sim_dir"] / "input.bin"
+    write_inputs_binary(input_bin, [tensor])
 
     dump_ranges = build_dump_ranges(paths["raptor_pim"] / "config.json", output_descriptors)
     run_pim_simulator(
@@ -145,6 +147,7 @@ def run_local_reference_and_simulator(args, network_dir: Path, network_onnx_path
         paths["sim_bin"],
         dump_ranges,
         timeout_sec=args.command_timeout_seconds,
+        input_paths=[input_bin],
     )
     return paths, output_descriptors[0]