def test_lightning_logger_base_merge_dicts_deprecation_warning():
with pytest.deprecated_call(
match=
"The `pytorch_lightning.loggers.base.merge_dicts` is deprecated in v1.7 and will be removed in v1.9."
):
d1 = {"a": 1.7, "b": 2.0, "c": 1, "d": {"d1": 1, "d3": 3}}
d2 = {"a": 1.1, "b": 2.2, "v": 1, "d": {"d1": 2, "d2": 3}}
d3 = {"a": 1.1, "v": 2.3, "d": {"d3": 3, "d4": {"d5": 1}}}
dflt_func = min
agg_funcs = {"a": min, "v": max, "d": {"d1": sum}}
logger_base.merge_dicts([d1, d2, d3], agg_funcs, dflt_func)
def validation_epoch_end(self, val_metrics):
""" Process and log accumulated validation results in one epoch """
val_metrics_epoch = merge_dicts(val_metrics)
self.log_dict({
f'val_metrics/{k}': metric
for k, metric in val_metrics_epoch.items()
})
# update hparams metrics
self.hparam_metrics = {
f'hparam_metrics/{k}': val_metrics_epoch[k]
for k in self.hparams.meta.hparam_metrics
}
def validation_epoch_end(self, outputs):
self._generate_and_log_text_samples()
validation_epoch_result = merge_dicts(
outputs, default_func=lambda x: torch.stack(x).mean())
return validation_epoch_result
def validation_epoch_end(self, val_step_results: Sequence):
validation_epoch_result = merge_dicts(
dicts=val_step_results,
default_func=lambda x: torch.stack(x).mean().item())
return validation_epoch_result