Searched refs:PHASE_BENCHMARK (Results 1 – 4 of 4) sorted by relevance
| /packages/modules/NeuralNetworks/tools/systrace_parser/parser/ |
| D | aggregate.py | 9 PHASE_BENCHMARK, PHASE_EXECUTION, PHASE_INITIALIZATION,
36 all_application_phases = [PHASE_OVERALL, PHASE_WARMUP, PHASE_BENCHMARK]
45 has_benchmark = bool(execution_counts[PHASE_BENCHMARK])
53 for app_phase in [PHASE_WARMUP, PHASE_BENCHMARK]:
96 for app_phase in [PHASE_WARMUP, PHASE_BENCHMARK]:
104 for app_phase in [PHASE_WARMUP, PHASE_BENCHMARK]:
125 for app_phase in [PHASE_WARMUP, PHASE_BENCHMARK]:
159 if phase == PHASE_WARMUP or phase == PHASE_BENCHMARK:
|
| D | naming.py | 7 PHASE_BENCHMARK = "PBM" # Executions done to benchmark after warmup variable
38 PO=([PHASE_WARMUP, PHASE_BENCHMARK] + phases),
44 PHASE_WARMUP: "Warmup", PHASE_BENCHMARK: "Benchmark",
|
| D | output.py | 7 PHASE_BENCHMARK)
62 times_to_use[phase][layer] = times_to_use[PHASE_BENCHMARK][phase][layer]
99 divide_by = execution_counts[PHASE_BENCHMARK]
|
| D | tracker.py | 13 from parser.naming import PHASE_EXECUTION, PHASE_OVERALL, PHASE_WARMUP, PHASE_BENCHMARK
112 if layer == LAYER_APPLICATION and phase in [PHASE_WARMUP, PHASE_BENCHMARK]:
128 if node.layer == LAYER_APPLICATION and node.phase in [PHASE_WARMUP, PHASE_BENCHMARK]:
|