The Sequence Scope: PyTorch’s New Release

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📝 Editorial: PyTorch’s New Release

In the last few years, PyTorch has unquestionably become (together with TensorFlow) one of the two most popular frameworks for implementing deep learning solutions. A simple and very extensible programming model has made PyTorch a favorite of the data science community. From its early days, PyTorch has quickly added capabilities that address some of the fundamental stages of the lifecycle of ML applications. Last week, PyTorch 1.11 was released with three fundamental additions to the popular framework:

• TorchData: A library that abstracts data loading primitives for easily building data pipelines.
• Functorch: A library that draws inspiration from Google JAX and adds composable function transforms to PyTorch.