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  • 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:

  • Convert a model with AI Toolkit for VS Code

    Convert a model with AI Toolkit for VS Code 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 enabling ...

  • 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 ...

  • 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 ...

  • Running Python code in Visual Studio Code

    Running Python Code in Visual Studio CodeRunning Python code in Visual Studio Code Whether you are experimenting with smaller lines of Python code in the REPL or ready to run a Python script, the Python extension offers multiple ways to run your code. Interactively running Python code The Python interpreter that is installed on your machine gives you what's known as an interactive REPL (Read ...

  • C/C++ for Visual Studio Code

    A list of available packages will be displayed Accept the default number of packages in the toolchain group by pressing Enter. Enter Y when prompted whether to proceed with the installation. Add the path of your MinGW-w64 bin folder to the Windows PATH environment variable by using the following steps: In the Windows search bar, type Settings to open your Windows Settings. Search for Edit ...

  • Editing Python in Visual Studio Code

    Editing Python in Visual Studio Code Visual Studio Code is a powerful editing tool for Python source code. The editor includes various features to help you be productive when writing code. For more information about editing in Visual Studio Code, see Basic Editing and Code Navigation. In this overview, we will describe the specific editing features provided by the Python extension, including ...

  • Python Interactive window - Visual Studio Code

    Python Interactive window Jupyter (formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called a notebook. Visual Studio Code supports working with Jupyter Notebooks natively, as well as through Python code files. This topic covers the support offered through Python code files and demonstrates how to ...