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use seed in validate.py for deterministic tests

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NiccoloN
2026-05-13 21:49:36 +02:00
parent 061139aefb
commit 55eda487dc
2 changed files with 4 additions and 2 deletions
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validation/validate.py
+2
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@@ -60,6 +60,7 @@ def main():
ap.add_argument("--simulator-dir", default=None, ap.add_argument("--simulator-dir", default=None,
help="Path to pim-simulator crate root (default: auto-detected relative to script).") 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("--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-size", type=int, default=64)
ap.add_argument("--crossbar-count", type=int, default=8) ap.add_argument("--crossbar-count", type=int, default=8)
ap.add_argument("--core-count", type=int, default=None, 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, 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, crossbar_size=a.crossbar_size, crossbar_count=a.crossbar_count, core_count=a.core_count,
threshold=a.threshold, threshold=a.threshold,
seed=a.seed,
reporter=reporter, reporter=reporter,
model_index=index, model_index=index,
model_total=len(onnx_files), model_total=len(onnx_files),
validation/validate_one.py
+2 -2
View File
@@ -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, 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, 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() network_onnx_path = Path(network_onnx_path).resolve()
raptor_path = Path(raptor_path).resolve() raptor_path = Path(raptor_path).resolve()
onnx_include_dir = Path(onnx_include_dir).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") print_stage(reporter, model_index, model_total, network_onnx_path.name, "Generate Inputs")
inputs_descriptor, outputs_descriptor = onnx_io(network_onnx_path) 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") 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'}") print_info(reporter, f"Saved {len(inputs_list)} input file(s) to {workspace_dir / 'inputs'}")
reporter.advance() reporter.advance()