add throughput mode to validation scripts

make raptor also emit input sizes

validation/tools/classification_local_image_validation.py

@@ -15,7 +15,7 @@ REPO_ROOT = VALIDATION_DIR.parent
 if str(VALIDATION_DIR) not in sys.path:
     sys.path.insert(0, str(VALIDATION_DIR))
 
-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,
@@ -222,6 +222,8 @@ def run_reference_and_simulator(args, model_path: Path, tensor: np.ndarray):
     subprocess.run(runner_cmd, cwd=runner_build_dir, check=True)
 
     write_inputs_to_memory_bin(pim_dir / "memory.bin", pim_dir / "config.json", [tensor])
+    input_bin_path = simulation_dir / "input.bin"
+    write_inputs_binary(input_bin_path, [tensor])
     dump_ranges = build_dump_ranges(pim_dir / "config.json", output_descriptors)
     output_bin_path = simulation_dir / "out.bin"
     run_pim_simulator(
@@ -230,6 +232,7 @@ def run_reference_and_simulator(args, model_path: Path, tensor: np.ndarray):
         output_bin_path,
         dump_ranges,
         timeout_sec=args.command_timeout_seconds,
+        input_paths=[input_bin_path],
     )
 
     output_index, output_name, output_dtype_code, output_shape = output_descriptors[0]