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README.md
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README.md
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@ -265,24 +265,8 @@ Lightning also adds a text column with all the hyperparameters for this experime
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![tensorboard-support](./docs/source/_static/tf_tags.png)
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Simply note the path you set for the [Experiment](https://williamfalcon.github.io/test-tube/experiment_tracking/experiment/) from [test_tube](https://github.com/williamFalcon/test-tube)
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```python
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from test_tube import Experiment
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from pytorch_lightning import Trainer
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exp = Experiment(save_dir='/some/path')
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trainer = Trainer(experiment=exp)
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...
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```
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And run tensorboard from that dir
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```bash
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tensorboard --logdir /some/path
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```
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## Lightning automates all of the following ([each is also configurable](https://williamfalcon.github.io/pytorch-lightning/Trainer/)):
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#### Checkpointing
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- [Checkpoint callback](https://williamfalcon.github.io/pytorch-lightning/Trainer/Checkpointing/#model-saving)
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