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Although the Python interface is more polished and the primary focus of development, PyTorch also has a C++ interface. [ 14 ] A number of pieces of deep learning software are built on top of PyTorch, including Tesla Autopilot , [ 15 ] Uber 's Pyro, [ 16 ] Hugging Face 's Transformers, [ 17 ] PyTorch Lightning , [ 18 ] [ 19 ] and Catalyst.
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]
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 initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, [18] which supersedes the beta released February 14, 2008. [19] CUDA works with all Nvidia GPUs from the G8x series onwards, including GeForce, Quadro and the Tesla line. CUDA is compatible with most ...
Torch is an open-source machine learning library, a scientific computing framework, and a scripting language based on Lua. [3] It provides LuaJIT interfaces to deep learning algorithms implemented in C. It was created by the Idiap Research Institute at EPFL. Torch development moved in 2017 to PyTorch, a port of the library to Python. [4] [5] [6]
Download as PDF; Printable version; In other projects ... C++, Python, CUDA: Python , ... Torch: Algorithm training No No / Separate files in most formats No No No ...
The library is designed to reduce computing power and memory use and to train large distributed models with better parallelism on existing computer hardware. [2] [3] DeepSpeed is optimized for low latency, high throughput training.
Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet.Horovod is hosted under the Linux Foundation AI (LF AI). [3]