diff options
| -rwxr-xr-x | bin/analyze-kconfig.py | 11 |
1 files changed, 11 insertions, 0 deletions
diff --git a/bin/analyze-kconfig.py b/bin/analyze-kconfig.py index 3b1258d..b95aded 100755 --- a/bin/analyze-kconfig.py +++ b/bin/analyze-kconfig.py @@ -301,6 +301,7 @@ def main(): max_std=max_std, ) constructor_duration = time.time() - constructor_start + logging.debug(f"AnalyticModel(...) took {constructor_duration : 7.1f} seconds") if not model.names: logging.error( @@ -375,6 +376,7 @@ def main(): fit_start_time = time.time() param_model, param_info = model.get_fitted() fit_duration = time.time() - fit_start_time + logging.debug(f"model.get_fitted(...) took {fit_duration : 7.1f} seconds") if xv_method == "montecarlo": static_quality, _ = xv.montecarlo(lambda m: m.get_static(), xv_count) @@ -401,16 +403,25 @@ def main(): lambda m: m.get_fitted()[0], xv_count ) else: + assess_start = time.time() static_quality = model.assess(static_model) + assess_duration = time.time() - assess_start + logging.debug(f"model.assess(static) took {assess_duration : 7.1f} seconds") if args.export_raw_predictions: analytic_quality, raw_results = model.assess(param_model, return_raw=True) with open(args.export_raw_predictions, "w") as f: json.dump(raw_results, f, cls=dfatool.utils.NpEncoder) else: + assess_start = time.time() analytic_quality = model.assess(param_model) + assess_duration = time.time() - assess_start + logging.debug(f"model.assess(param) took {assess_duration : 7.1f} seconds") xv_analytic_models = [model] if lut_model: + assess_start = time.time() lut_quality = model.assess(lut_model) + assess_duration = time.time() - assess_start + logging.debug(f"model.assess(lut) took {assess_duration : 7.1f} seconds") else: lut_quality = None |