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Torch has been extended for use on Android [12] [better source needed] and iOS. [13] [better source needed] It has been used to build hardware implementations for data flows like those found in neural networks. [14] Facebook has released a set of extension modules as open source software. [15]
PyTorch: Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan (Facebook) 2016 BSD: Yes Linux, macOS, Windows, Android [46] Python, C, C++, CUDA: Python, C++, Julia, R [47] Yes Via separately maintained package [48] [49] [50] Yes Yes Yes Yes Yes Yes Yes [51] Yes Yes Apache SINGA: Apache Software Foundation: 2015 Apache 2.0: Yes Linux, macOS ...
In January 2019, the TensorFlow team released a developer preview of the mobile GPU inference engine with OpenGL ES 3.1 Compute Shaders on Android devices and Metal Compute Shaders on iOS devices. [30] In May 2019, Google announced that their TensorFlow Lite Micro (also known as TensorFlow Lite for Microcontrollers) and ARM's uTensor would be ...
The SBCs officially support Android and Debian operating systems. [49] [50] ASUS has also demonstrated a mini PC called Asus PN60T featuring the Edge TPU. [51] On January 2, 2020, Google announced the Coral Accelerator Module and Coral Dev Board Mini, to be demonstrated at CES 2020 later the same month.
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 ...
This is a list of products using processors (i.e. central processing units) based on the ARM architecture family, sorted by generation release and name. List of products [ edit ]
Model number Sampling availability Devices APQ8060 [1]: 2011 HP TouchPad • HTC Amaze 4G, Jetstream, Raider 4G, Vivid • Le Pan II • LG Nitro HD • Pantech Element; Samsung Galaxy S II X (SGH-T989D), Galaxy S II LTE, Galaxy S Blaze 4G, Galaxy Tab 7.7 LTE
"Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase."