Searched refs:make_tag (Results 1 – 3 of 3) sorted by relevance
/packages/modules/NeuralNetworks/tools/systrace_parser/parser/ |
D | output.py | 2 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 …]
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D | naming.py | 54 def make_tag(layer, phase): function 95 return "NN_" + make_tag(layer, phase)
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D | tracker.py | 10 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:
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