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PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.
In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 24 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...
The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages. The torch.class(classname, parentclass) function can be used to create object factories ().
Microsoft Ignite is an annual conference for developers, IT professionals and partners, hosted by Microsoft. The first conference, then known as TechEd , happened in 1993 in Orlando , Florida , United States .
Lightning talks are brief and require the speaker to make their point clearly and rid the presentation of non-critical information. This causes the audience to be more attentive to the speaker and gain a broader array of knowledge from the presentations given. [6] The format of lightning talks varies greatly from conference to conference. [7]
Ignite (Ignite Talks) is a series of events where speakers have five minutes to talk on a subject accompanied by 20 slides, for 15 seconds each, automatically advanced. Ignite started in Seattle, and it has spread to over 350 organizing teams in cities, universities, governments and companies who have hosted thousands of events.
For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...
The creation of sparks from metals is based on the pyrophoricity of small metal particles, and pyrophoric alloys are made for this purpose. [2] Practical applications include the sparking mechanisms in lighters and various toys, using ferrocerium; starting fires without matches, using a firesteel; the flintlock mechanism in firearms; and spark testing ferrous metals.