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PyTorch is a machine ... alongside others such as TensorFlow and PaddlePaddle, [12] ... but can also be operated on a CUDA-capable NVIDIA GPU. PyTorch has also been ...
Yes [12] Yes Dlib: Davis King 2002 Boost Software License: Yes Cross-platform: C++: C++, Python: Yes No Yes No Yes Yes No Yes Yes Yes Yes Flux: Mike Innes 2017 MIT license: Yes Linux, MacOS, Windows (Cross-platform) Julia: Julia: Yes No Yes Yes [13] Yes Yes No Yes Yes Intel Data Analytics Acceleration Library: Intel 2015 Apache License 2.0: Yes
In computing, CUDA is a proprietary [1] ... 12 – 48 KiB [82] 24 KiB 48 KiB 32 KiB [83] 24 KiB 48 KiB 24 KiB 32 – 128 KiB 32 – 64 KiB 28 – 192 KiB 28 – 128 ...
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.
Many libraries support bfloat16, such as CUDA, [13] Intel oneAPI Math Kernel Library, AMD ROCm, [14] AMD Optimizing CPU Libraries, PyTorch, and TensorFlow. [10] [15] On these platforms, bfloat16 may also be used in mixed-precision arithmetic, where bfloat16 numbers may be operated on and expanded to wider data types.
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]
StyleGAN depends on Nvidia's CUDA software, GPUs, and Google's TensorFlow, [4] or Meta AI's PyTorch, which supersedes TensorFlow as the official implementation library in later StyleGAN versions. [5] The second version of StyleGAN, called StyleGAN2, was published on February 5, 2020.
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] Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model. [4]