diff --git a/validation/validate.py b/validation/validate.py
index bff3de1..7599c95 100644
--- a/validation/validate.py
+++ b/validation/validate.py
@@ -60,6 +60,7 @@ def main():
     ap.add_argument("--simulator-dir", default=None,
                     help="Path to pim-simulator crate root (default: auto-detected relative to script).")
     ap.add_argument("--threshold", type=float, default=1e-3, help="Max allowed diff per output element.")
+    ap.add_argument("--seed", type=int, default=0, help="RNG seed for generated validation inputs.")
     ap.add_argument("--crossbar-size", type=int, default=64)
     ap.add_argument("--crossbar-count", type=int, default=8)
     ap.add_argument("--core-count", type=int, default=None,
@@ -117,6 +118,7 @@ def main():
                 onnx_path, a.raptor_path, a.onnx_include_dir, simulator_dir,
                 crossbar_size=a.crossbar_size, crossbar_count=a.crossbar_count, core_count=a.core_count,
                 threshold=a.threshold,
+                seed=a.seed,
                 reporter=reporter,
                 model_index=index,
                 model_total=len(onnx_files),
diff --git a/validation/validate_one.py b/validation/validate_one.py
index c00a433..0e66b3b 100644
--- a/validation/validate_one.py
+++ b/validation/validate_one.py
@@ -268,7 +268,7 @@ def validate_outputs(sim_arrays, runner_out_dir, outputs_descriptor, threshold=1
 
 def validate_network(network_onnx_path, raptor_path, onnx_include_dir,
                      simulator_dir, crossbar_size=64, crossbar_count=8, core_count=None, threshold=1e-3,
-                     reporter=None, model_index=1, model_total=1, verbose=False):
+                     seed=0, reporter=None, model_index=1, model_total=1, verbose=False):
     network_onnx_path = Path(network_onnx_path).resolve()
     raptor_path = Path(raptor_path).resolve()
     onnx_include_dir = Path(onnx_include_dir).resolve()
@@ -306,7 +306,7 @@ def validate_network(network_onnx_path, raptor_path, onnx_include_dir,
 
         print_stage(reporter, model_index, model_total, network_onnx_path.name, "Generate Inputs")
         inputs_descriptor, outputs_descriptor = onnx_io(network_onnx_path)
-        inputs_list, _inputs_dict = gen_random_inputs(inputs_descriptor)
+        inputs_list, _inputs_dict = gen_random_inputs(inputs_descriptor, seed=seed)
         flags, _files = save_inputs_to_files(network_onnx_path, inputs_list, out_dir=workspace_dir / "inputs")
         print_info(reporter, f"Saved {len(inputs_list)} input file(s) to {workspace_dir / 'inputs'}")
         reporter.advance()