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In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 23 ] 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 core package of Torch is torch.It provides a flexible N-dimensional array or Tensor, which supports basic routines for indexing, slicing, transposing, type-casting, resizing, sharing storage and cloning.
Apple M1 is a series of ARM-based system-on-a-chip (SoC) designed by Apple Inc., launched 2020 to 2022.It is part of the Apple silicon series, as a central processing unit (CPU) and graphics processing unit (GPU) for its Mac desktops and notebooks, and the iPad Pro and iPad Air tablets. [4]
In March 2022, Apple announced the Mac Studio, the new high-end compact desktop model that uses the M1 Ultra, a dual-SoC configuration of two M1 Max chips. [ 48 ] [ 49 ] Apple concurrently discontinued the 27-inch Intel-based iMac , leaving the Mac Pro and Core i5/i7 Mac Mini as the last Intel-based Macs. [ 50 ]
The first MacBook Pro with Apple silicon, based on the Apple M1, was released in November 2020. The 14-inch and 16-inch MacBook Pros were released on October 26, 2021. Powered by either M1 Pro or M1 Max chips, they are the first to be available only with an Apple silicon system on a chip. These models re-introduced elements from previous ...
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]
The M1 Pro is a more powerful version of the M1, with six to eight performance cores, two efficiency cores, 14 to 16 GPU cores, 16 Neural Engine cores, up to 32 GB unified RAM with up to 200 GB/s memory bandwidth, and more than double the transistors. It was announced on October 18, 2021, and is used in the 14- and 16-inch MacBook Pro. Apple ...
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.