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delete ref to old update_training_log_metrics (#262)

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William Falcon
2019-09-26 17:53:15 -04:00
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parent 481aa24974
commit 1d7ffd11da
1 changed files with 0 additions and 21 deletions
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docs/LightningModule/RequiredTrainerInterface.md
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@@ -23,7 +23,6 @@ Otherwise, to Define a Lightning Module, implement the following methods:
- [test_dataloader](RequiredTrainerInterface.md#test_dataloader) - [test_dataloader](RequiredTrainerInterface.md#test_dataloader)
- [on_save_checkpoint](RequiredTrainerInterface.md#on_save_checkpoint) - [on_save_checkpoint](RequiredTrainerInterface.md#on_save_checkpoint)
- [on_load_checkpoint](RequiredTrainerInterface.md#on_load_checkpoint) - [on_load_checkpoint](RequiredTrainerInterface.md#on_load_checkpoint)
- [update_training_log_metrics](RequiredTrainerInterface.md#update_training_log_metrics)
- [add_model_specific_args](RequiredTrainerInterface.md#add_model_specific_args) - [add_model_specific_args](RequiredTrainerInterface.md#add_model_specific_args)
--- ---
@@ -632,26 +631,6 @@ def test_dataloader(self):
return loader return loader
``` ```
---
### update_training_log_metrics
``` {.python}
def update_training_log_metrics(self, logs)
```
Called by lightning right before it logs metrics for this batch.
This is a chance to amend or add to the metrics about to be logged.
##### Return
Dict
**Example**
``` {.python}
def update_training_log_metrics(self, logs):
# modify or add to logs
return logs
```
--- ---
### add_model_specific_args ### add_model_specific_args