10 results found

• Model conversion file structure - Visual Studio Code

  Model Conversion reference about project structure.Model conversion file structure This article explains the file structure generated during model conversion workflows and the purpose of each folder and file, including cache handling, history tracking, inference and so on. After creating the model project and running it several times, the file structure might look like this:

• Built-in Commands | Visual Studio Code Extension API

  Built-in Commands This document lists a subset of Visual Studio Code commands that you might use with vscode.commands.executeCommand API. Read the Commands guide for how to use the commands API. The following is a sample of how to open a new folder in VS Code:

• Setup model conversion environment manually - Visual Studio Code

  Model Conversion reference about setup environment.Setup model conversion environment manually This article introduces how to manually set up Python environments for model conversion across different hardware targets, including CPU, QNN, AMD NPU, and Intel NPU. We recommend installing your environment in a Python virtual environment or a Conda environment. Note: if you want to do inference on ...

• Configure VS Code for Microsoft C++

  Configure the C++ extension in Visual Studio Code to target Microsoft C++ on Windows.

• Convert a model with AI Toolkit for VS Code (Preview)

  Convert a model with AI Toolkit for VS Code (Preview) Model conversion is an integrated development environment designed to help developers and AI engineers to convert, quantize, optimize and evaluate the pre-built machine learning models on your local Windows platform. It offers a streamlined, end-to-end experience for models converted from sources like Hugging Face, optimizing them and ...

• Formatting Python in VS Code

  Formatting Python in VS Code Formatting makes source code easier to read by human beings. By enforcing particular rules and conventions such as line spacing, indents, and spacing around operators, the code becomes more visually organized and comprehensible. You can view an example on the autopep8 page. Keep in mind, formatting doesn't affect the functionality of the code itself. Linting helps ...

• Using C++ on Linux in VS Code

  Using C++ on Linux in VS Code In this tutorial, you will configure Visual Studio Code to use the GCC C++ compiler (g++) and GDB debugger on Linux. GCC stands for GNU Compiler Collection; GDB is the GNU debugger. After configuring VS Code, you will compile and debug a simple C++ program in VS Code. This tutorial does not teach you GCC, GDB, Ubuntu or the C++ language. For those subjects, there ...

• Visual Studio Code - Code Editing. Redefined

  Visual Studio Code redefines AI-powered coding with GitHub Copilot for building and debugging modern web and cloud applications. Visual Studio Code is free and available on your favorite platform - Linux, macOS, and Windows.

• Configure C/C++ debugging - Visual Studio Code

  Configure C/C++ debugging A launch.json file is used to configure the debugger in Visual Studio Code. Visual Studio Code generates a launch.json (under a .vscode folder in your project) with almost all of the required information. To get started with debugging you need to fill in the program field with the path to the executable you plan to debug. This must be specified for both the launch and ...

• Visual Studio Code for the Web

  Visual Studio Code for the Web Visual Studio Code for the Web provides a free, zero-install Microsoft Visual Studio Code experience running entirely in your browser, allowing you to quickly and safely browse source code repositories and make lightweight code changes. To get started, go to https://vscode.dev in your browser. VS Code for the Web has many of the features of VS Code Desktop that ...