liuzh91 edited a comment on issue #16922: Update LoggingHandler to support logging per interval URL: https://github.com/apache/incubator-mxnet/pull/16922#issuecomment-560970308 > Thanks for the fix. Shall we remove `LOG_PER_BATCH` as it can be replaced by `LOG_PER_INTERVAL`? > Since this is in contrib, I think it's fine and less options will be easier for users. Thanks for the suggestion. I have thought about the option before. Most parts of logging batch and logging interval are overlapped. But during batch logging, we only logged the training metrics: ``` for metric in self.train_metrics: # only log current training loss & metric after each batch name, value = metric.get() msg += '%s: %.4f, ' % (name, value) ``` But during interval logging, I think it is better to log both training and validation metrics. So `LOG_PER_BATCH` is still necessary? ``` for monitor in self.train_metrics + self.val_metrics: name, value = monitor.get() msg += '%s: %.4f, ' % (name, value) ``` Or we can merge `LOG_PER_BATCH` and `LOG_PER_INTERVAL`, then we use `self.log_interval` to check whether using validation metrics or not.
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