Search results
Results from the WOW.Com Content Network
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.
The memory traffic denotes the number of bytes of memory transfers incurred during the execution of the kernel or application. [1] In contrast to W {\displaystyle W} , Q {\displaystyle Q} is heavily dependent on the properties of the chosen platform, such as for instance the structure of the cache hierarchy.
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 ().
In computer science, region-based memory management is a type of memory management in which each allocated object is assigned to a region. A region, also called a zone , arena , area , or memory context , is a collection of allocated objects that can be efficiently reallocated or deallocated all at once.
It is designed to follow the structure and workflow of NumPy as closely as possible and works with various existing frameworks such as TensorFlow and PyTorch. [5] [6] The primary functions of JAX are: [2] grad: automatic differentiation; jit: compilation; vmap: auto-vectorization; pmap: Single program, multiple data (SPMD) programming
A neural Turing machine (NTM) is a recurrent neural network model of a Turing machine.The approach was published by Alex Graves et al. in 2014. [1] NTMs combine the fuzzy pattern matching capabilities of neural networks with the algorithmic power of programmable computers.
The external memory model is related to the cache-oblivious model, but algorithms in the external memory model may know both the block size and the cache size. For this reason, the model is sometimes referred to as the cache-aware model. [5] The model consists of a processor with an internal memory or cache of size M, connected to an unbounded ...