algorithms/group_algorithm.py
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17
E501: line too long (106 > 79 characters)
(and 12 similar)
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Line too long (106 > 79 characters):
16 def __init__(self, device, grouper, logged_metrics, logged_fields, schedulers, scheduler_metric_names, -
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21 - grouper (Grouper): defines groups for which we compute/log stats for -
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53 group_metrics, group_counts, worst_group_metric = m.compute_group_wise( -
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75 assert v.numel() == self.grouper.n_groups, "Current implementation deals only with group-wise statistics or a single-number statistic" -
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80 if not self._has_log: # since it is the first log entry, just save the current log -
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90 self.log_dict[k] = update_average(self.log_dict[k], self.log_dict[self.group_count_field], v, -
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93 self.log_dict[k] = update_average(self.log_dict[k], self.log_dict[self.count_field], v, count) -
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134 If a scheduler is updated based on a metric (SingleModelAlgorithm.scheduler_metric), -
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135 then it first looks for an entry in metrics_dict and then in its internal log -
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139 - log_access (bool): whether the scheduler_metric can be fetched from internal log -
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142 for scheduler, metric_name in zip(self.schedulers, self.scheduler_metric_names): -
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155 def _step_specific_scheduler(self, scheduler, metric_name, metrics, log_access): -
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160 - is_epoch (bool): epoch-wise update if set to True, batch-wise update otherwise -
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161 - metric_name (str): name of the metric (key in metrics or log dictionary) to use for updates -
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162 - metrics (dict): a dictionary of metrics that can beused for scheduler updates -
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163 - log_access (bool): whether metrics from self.get_log() can be used to update schedulers -
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200 f'{metric.agg_metric_field}: {log[metric.agg_metric_field]:.3f}\n'
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