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README.md
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@ -101,12 +101,12 @@ def validation_end(self, outputs):
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**Debugging**
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- [Fast dev run](Debugging/#fast-dev-run)
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- [Inspect gradient norms](Debugging/#inspect-gradient-norms)
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- [Log GPU usage](Debugging/#Log-gpu-usage)
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- [Make model overfit on subset of data](Debugging/#make-model-overfit-on-subset-of-data)
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- [Print the parameter count by layer](Debugging/#print-the-parameter-count-by-layer)
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- [Pring which gradients are nan](Debugging/#print-which-gradients-are-nan)
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- [Fast dev run](https://williamfalcon.github.io/pytorch-lightning/Trainer/debugging/#fast-dev-run)
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- [Inspect gradient norms](https://williamfalcon.github.io/pytorch-lightning/Trainer/debugging/#inspect-gradient-norms)
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- [Log GPU usage](https://williamfalcon.github.io/pytorch-lightning/Trainer/debugging/#Log-gpu-usage)
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- [Make model overfit on subset of data](https://williamfalcon.github.io/pytorch-lightning/Trainer/debugging/#make-model-overfit-on-subset-of-data)
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- [Print the parameter count by layer](https://williamfalcon.github.io/pytorch-lightning/Trainer/debugging/#print-the-parameter-count-by-layer)
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- [Pring which gradients are nan](https://williamfalcon.github.io/pytorch-lightning/Trainer/debugging/#print-which-gradients-are-nan)
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**Distributed training**
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