tutorials
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Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.
## 🐛 Bug The [MNIST training using TPU tutorial](https://github.com/PyTorchLightning/lightning-tutorials/blob/publication/.notebooks/lightning_examples/mnist-tpu-training.ipynb) has incorrect dependencies. Running all cells from start to finish in Colab results in an error when trying to import pytorch...
## 🚀 Feature Dynamically extend the time limit for running CI on PR touching more content ### Motivation do not penalise PR which are touching multiple notebooks ### Additional context...
## 🚀 Feature The pretrained models are currently stored in separate, external repositories. It would be nice to have releases with the tutorials and upload these models to the release....
When calculating the total steps, shouldn't we use `number of batches * epoch size` ? In this case, it would be `self.total_steps = (len(train_loader.dataset) // tb_size) * ab_size` instead of...
## 🚀 Feature Replace inline tensorboard (TB) with a simple chart from standard CSLoggers ### Motivation The inline tensorboard is a cool interactive tool, but: - it requires saved logos...
## 🚀 Feature As we generate ipython notebooks from each script we could also parse all functions and classes and copy them into a package that would have the same...
## 🚀 Feature Democratize the tutorials and make it more accessible to not English speaking people coming from https://github.com/PyTorchLightning/pytorch-lightning/issues/10239#issuecomment-954607168 ### Pitch ### Alternatives the translation can be done on the...
## 🚀 Feature Parse the markdown cells in a script and normalize them to give line length ### Motivation reduce manual formating and keep the text homogenous ### Pitch would...
## 🚀 Feature in case some notebooks need TPU only we shall be able to generate such notebooks too ### Motivation we shall have all notebooks executed so to verify...
## 🚀 Feature Add a PL tutorial for Deployment with FastAPI ### Motivation ### Pitch ### Alternatives ### Additional context