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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.
The observer design pattern is a behavioural pattern listed among the 23 well-known "Gang of Four" design patterns that address recurring design challenges in order to design flexible and reusable object-oriented software, yielding objects that are easier to implement, change, test and reuse.
Implementations of the singleton pattern ensure that only one instance of the singleton class ever exists and typically provide global access to that instance. Typically, this is accomplished by: Declaring all constructors of the class to be private, which prevents it from being instantiated by other objects
[33] [43] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving. [ 44 ] TensorFlow provides a stable Python Application Program Interface ( API ), [ 45 ] as well as APIs without backwards compatibility guarantee for Javascript , [ 46 ] C++ , [ 47 ] and ...
For example, Dojo abstracts the differences among diverse browsers to provide APIs that will work on all of them (it can even run on the server under Node.js); it establishes a framework for defining modules of code and managing their interdependencies; it provides build tools for optimizing JavaScript and CSS, generating documentation, and ...
For example, to have a derived class with an overloaded function taking a double or an int, using the function taking an int from the base class, in C++, one would write: class B { public : void F ( int i ); }; class D : public B { public : using B :: F ; void F ( double d ); };
The factory method design pattern solves problems such as: How can an object's subclasses redefine its subsequent and distinct implementation? The pattern involves creation of a factory method within the superclass that defers the object's creation to a subclass's factory method.