(self)
| 120 | self.stats.append(output) |
| 121 | |
| 122 | def _after_inference(self): |
| 123 | if len(self.stats): |
| 124 | self.stats = np.mean(self.stats, axis=0) |
| 125 | assert len(self.stats) == len(self.names) |
| 126 | |
| 127 | ret = {} |
| 128 | for stat, name in zip(self.stats, self.names): |
| 129 | opname, _ = get_op_tensor_name(name) |
| 130 | name = '{}_{}'.format(self.prefix, opname) if self.prefix else opname |
| 131 | ret[name] = stat |
| 132 | return ret |
| 133 | |
| 134 | |
| 135 | class ClassificationError(Inferencer): |
nothing calls this directly
no test coverage detected