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-rw-r--r--notify/output-bmk-results.log54
1 files changed, 12 insertions, 42 deletions
diff --git a/notify/output-bmk-results.log b/notify/output-bmk-results.log
index 09b7e88..f64c72a 100644
--- a/notify/output-bmk-results.log
+++ b/notify/output-bmk-results.log
@@ -744,7 +744,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 429.mcf,[.] price_out_impl : size=1% (threshold=10%)
+DEBUG: checking symbol.regression : 429.mcf,[.] price_out_impl : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -759,7 +759,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 429.mcf,[.] refresh_potential : size=-2% (threshold=10%)
+DEBUG: checking symbol.regression : 429.mcf,[.] refresh_potential : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -879,7 +879,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil25calc_pair_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -894,7 +894,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 444.namd,[.] _ZN20ComputeNonbondedUtil25calc_pair_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1014,21 +1014,6 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : size=0% (threshold=10%)
-output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
- --- modulename: output-bmk-results, funcname: is_entry_regression
-output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
-output-bmk-results.py(168): return (result - 100 > threshold)
-output-bmk-results.py(217): continue
-output-bmk-results.py(208): for index, row in out_df.iterrows():
-output-bmk-results.py(210): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"])
- --- modulename: output-bmk-results, funcname: get_threshold
-output-bmk-results.py(98): if metric == "sample":
-output-bmk-results.py(108): if metric == "num_vect_loops" or metric == "num_sve_loops":
-output-bmk-results.py(111): return default_threshold[(change_kind,metric,mode)]
-output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
-output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
DEBUG: checking symbol.regression : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
@@ -1164,7 +1149,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_sigma_x : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_cnot : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1179,7 +1164,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_cnot : size=0% (threshold=10%)
+DEBUG: checking symbol.regression : 462.libquantum,[.] quantum_sigma_x : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_regression
output-bmk-results.py(167): if metric in metric_utils.higher_regress_metrics:
@@ -1497,7 +1482,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 429.mcf,[.] price_out_impl : size=1% (threshold=10%)
+DEBUG: checking symbol.improvement : 429.mcf,[.] price_out_impl : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1512,7 +1497,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 429.mcf,[.] refresh_potential : size=-2% (threshold=10%)
+DEBUG: checking symbol.improvement : 429.mcf,[.] refresh_potential : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1632,7 +1617,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil25calc_pair_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1647,7 +1632,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil32calc_pair_energy_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 444.namd,[.] _ZN20ComputeNonbondedUtil25calc_pair_merge_fullelectEP9nonbonded : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1767,21 +1752,6 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 450.soplex,[.] _ZN6soplex9CLUFactor16initFactorMatrixEPPNS_7SVectorEd : size=0% (threshold=10%)
-output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
- --- modulename: output-bmk-results, funcname: is_entry_improvement
-output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
-output-bmk-results.py(177): return (100 - result > threshold)
-output-bmk-results.py(217): continue
-output-bmk-results.py(208): for index, row in out_df.iterrows():
-output-bmk-results.py(210): threshold = get_threshold(sym_type, metric, mode, row["benchmark"], row["symbol"])
- --- modulename: output-bmk-results, funcname: get_threshold
-output-bmk-results.py(98): if metric == "sample":
-output-bmk-results.py(108): if metric == "num_vect_loops" or metric == "num_sve_loops":
-output-bmk-results.py(111): return default_threshold[(change_kind,metric,mode)]
-output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
-output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
DEBUG: checking symbol.improvement : 453.povray,[.] _ZN3povL23All_Plane_IntersectionsEPNS_13Object_StructEPNS_10Ray_StructEPNS_13istack_structE : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
@@ -1917,7 +1887,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_sigma_x : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_cnot : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
@@ -1932,7 +1902,7 @@ output-bmk-results.py(111): return default_threshold[(change_kind,metric,mod
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
output-bmk-results.py(213): .format(sym_type, change_kind, row["benchmark"], row["symbol"], metric, 100-row["rel_" + metric], threshold))
output-bmk-results.py(212): print("DEBUG: checking {0}.{1} : {2},{3} : {4}={5}% (threshold={6}%)"\
-DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_cnot : size=0% (threshold=10%)
+DEBUG: checking symbol.improvement : 462.libquantum,[.] quantum_sigma_x : size=0% (threshold=10%)
output-bmk-results.py(216): if not is_entry_xxx[change_kind](metric, row["rel_" + metric], threshold):
--- modulename: output-bmk-results, funcname: is_entry_improvement
output-bmk-results.py(176): if metric in metric_utils.higher_regress_metrics:
generated by cgit v1.2.3 (git 2.25.1) at 2024-07-01 00:08:25 +0000