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In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.
The torch.class(classname, parentclass) function can be used to create object factories . When the constructor is called, torch initializes and sets a Lua table with the user-defined metatable , which makes the table an object .
In CUDA, the kernel is executed with the aid of threads. The thread is an abstract entity that represents the execution of the kernel. A kernel is a function that compiles to run on a special device. Multi threaded applications use many such threads that are running at the same time, to organize parallel computation.
A function key is a key on a computer or terminal keyboard that can be programmed to cause the operating system or an application program to perform certain actions, a form of soft key. [1] On some keyboards/computers, function keys may have default actions, accessible on power-on. A 104-key US English keyboard layout with the function keys in ...
Win64 is the version in the 64-bit platforms of the Windows architecture (as of 2021, x86-64 and AArch64). [ b ] [ 25 ] [ 26 ] Both 32-bit and 64-bit versions of an application can be compiled from one codebase , although some older API functions have been deprecated, and some of the API functions that were deprecated in Win32 were removed.
A built-in function, or builtin function, or intrinsic function, is a function for which the compiler generates code at compile time or provides in a way other than for other functions. [23] A built-in function does not need to be defined like other functions since it is built in to the programming language.
The maximum NVENC HEVC coding tree unit (CU) size is 32 (the HEVC standard allows a maximum of 64), and its minimum CU size is 8. HEVC encoding also lacks Sample Adaptive Offset (SAO). Adaptive quantization, look-ahead rate control, adaptive B-frames (H.264 only) and adaptive GOP features were added with the release of Nvidia Video Codec SDK 7 ...