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TensorFlow is available on 64-bit Linux, macOS, Windows, and mobile computing platforms including Android and iOS. [citation needed] Its flexible architecture allows for easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.
The Linux Desktop Testing Project (LDTP) is a testing tool that uses computer assistive technology [7] to automate graphical user interface (GUI) testing. [8] The GUI functionality of an application can be tested in Linux , macOS , Windows , Solaris , FreeBSD , and embedded system environments. [ 9 ]
The Edge TPU is capable of 4 trillion operations per second with 2 W of electrical power. [44] The product offerings include a single-board computer (SBC), a system on module (SoM), a USB accessory, a mini PCI-e card, and an M.2 card. The SBC Coral Dev Board and Coral SoM both run Mendel Linux OS – a derivative of Debian.
CuPy is a part of the NumPy ecosystem array libraries [7] and is widely adopted to utilize GPU with Python, [8] especially in high-performance computing environments such as Summit, [9] Perlmutter, [10] EULER, [11] and ABCI.
The Linux Test Project (usually referred to as LTP) is a body of regression and conformance tests designed to confirm the behaviour of the Linux kernel as well as glibc. [ 1 ] The LTP is a joint project started by SGI , developed and maintained by IBM , Cisco , Fujitsu , SUSE , Red Hat and others.
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Rockchip provides open source software on GitHub [19] and maintains a wiki Linux SDK website [20] to offer free downloads of SoC hardware documents and software development resources as well as third-party development kits info. The chipsets available are RK3399, RK3288, RK3328 and RK3036.
Caffe supports many different types of deep learning architectures geared towards image classification and image segmentation.It supports CNN, RCNN, LSTM and fully-connected neural network designs. [8]