def report(self):
"""
Report aggregate metrics across all subworlds.
"""
metrics = aggregate_metrics(self.worlds)
self.total_exs += metrics.get('exs', 0)
return metrics
def report(self, compute_time=False):
metrics = aggregate_metrics(self.worlds)
if compute_time:
self.total_exs += metrics['total']
time_metrics = compute_time_metrics(self, self.opt['max_train_time'])
metrics.update(time_metrics)
return metrics
def report(self, compute_time=False):
metrics = aggregate_metrics(self.worlds)
if compute_time:
self.total_exs += metrics['total']
time_metrics = compute_time_metrics(self, self.opt['max_train_time'])
metrics.update(time_metrics)
return metrics
def report(self, compute_time=False):
metrics = aggregate_metrics(self.worlds)
if compute_time:
self.total_exs += metrics['total']
if self.num_examples() is not None and self.num_examples() > 0:
self.total_epochs = int(self.total_exs / self.num_examples())
time_metrics = compute_time_metrics(self,
self.opt['max_train_time'])
metrics.update(time_metrics)
return metrics
def report(self):
metrics = aggregate_metrics(self.worlds)
self.total_exs += metrics.get('exs', 0)
return metrics
def report(self):
"""Report aggregated metrics across all subtasks."""
return aggregate_metrics(self.tasks)
