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Searched refs:make_tag (Results 1 – 3 of 3) sorted by relevance

/packages/modules/NeuralNetworks/tools/systrace_parser/parser/
Doutput.py2 from parser.naming import layers, names, phases, make_tag, subphases
75 values[make_tag(layer, phase)] = t
81 values[make_tag(LAYER_TOTAL, phase)] = times_to_use[phase][LAYER_TOTAL]
83 values[make_tag(layer, PHASE_EXECUTION_LESS_IO_AND_RESULTS)] = (
84 values[make_tag(layer, PHASE_EXECUTION)] -
85 values[make_tag(layer, PHASE_INPUTS_AND_OUTPUTS)] -
86 values[make_tag(layer, PHASE_RESULTS)])
87 values[make_tag(layer, PHASE_OVERALL)] = times_to_use[PHASE_OVERALL][layer]
90 if values[make_tag(LAYER_TOTAL, PHASE_EXECUTION)] > 0.0:
91 values[make_tag(layer, "PEp")] = (values[make_tag(layer, PHASE_EXECUTION)] * 100.0 /
[all …]
Dnaming.py54 def make_tag(layer, phase): function
95 return "NN_" + make_tag(layer, phase)
Dtracker.py10 get_function_name_from_mark, make_tag)
169 pe_tag = node.app_phase + "_" + make_tag(layer, PHASE_EXECUTION)
203 if tag == make_tag(LAYER_RUNTIME, PHASE_EXECUTION) and special_case_pe: