v0.3.0 Notebook launcher and multi-node training

Notebook launcher

After doing all the data preprocessing in your notebook, you can launch your training loop using the new notebook_launcher functionality. This is especially useful for Colab or Kaggle with TPUs! Here is an example on Colab (don't forget to select a TPU runtime).

This launcher also works if you have multiple GPUs on your machine. You just have to pass along num_processes=your_number_of_gpus in the call to notebook_launcher.

• Notebook launcher #44 (@sgugger)
• Add notebook/colab example #52 (@sgugger)
• Support for multi-GPU in notebook_launcher #56 (@sgugger)

Multi-node training

Our multi-node training test setup was flawed and the previous releases of 🤗 Accelerate were not working for multi-node distributed training. This is all fixed now and we have ensured to have more robust tests!

• fix cluster.py indent error #35 (@JTT94)
• Set all defaults from config in launcher #38 (@sgugger)
• Fix port in config creation #50 (@sgugger)

Various bug fixes

• Fix typos in examples README #28 (@arjunchandra)
• Fix load from config #31 (@sgugger)
• docs: minor spelling tweaks #33 (@brettkoonce)
• Add set_to_none to AcceleratedOptimizer.zero_grad #43 (@sgugger)
• fix #53 #54 (@Guitaricet)
• update launch.py #58 (@Jesse1eung)