delete ref to old update_training_log_metrics (#262)
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@ -23,7 +23,6 @@ Otherwise, to Define a Lightning Module, implement the following methods:
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- [test_dataloader](RequiredTrainerInterface.md#test_dataloader)
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- [on_save_checkpoint](RequiredTrainerInterface.md#on_save_checkpoint)
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- [on_load_checkpoint](RequiredTrainerInterface.md#on_load_checkpoint)
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- [update_training_log_metrics](RequiredTrainerInterface.md#update_training_log_metrics)
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- [add_model_specific_args](RequiredTrainerInterface.md#add_model_specific_args)
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---
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@ -632,26 +631,6 @@ def test_dataloader(self):
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return loader
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```
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---
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### update_training_log_metrics
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``` {.python}
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def update_training_log_metrics(self, logs)
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```
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Called by lightning right before it logs metrics for this batch.
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This is a chance to amend or add to the metrics about to be logged.
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##### Return
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Dict
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**Example**
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``` {.python}
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def update_training_log_metrics(self, logs):
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# modify or add to logs
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return logs
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```
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---
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### add_model_specific_args
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