create-tensorify-plugin

{{projectName}}

{{description}}

A Tensorify plugin that implements a PyTorch Linear/Dense layer with customizable input/output features and bias settings.

Installation

npm install

Usage

import {{projectName}}LinearLayer from './dist/index.js';

// Create a linear layer instance
const linearLayer = new {{projectName}}LinearLayer();

// Generate code with custom settings
const code = linearLayer.getTranslationCode({
  inFeatures: 784,
  outFeatures: 128,
  bias: true
});

console.log(code);
// Output: my_plugin_linear_layer = nn.Linear(784, 128, bias=True)

Configuration

The linear layer accepts the following settings:

Setting	Type	Default	Description
inFeatures	number	784	Number of input features
outFeatures	number	128	Number of output features
bias	boolean	true	Whether to include bias term

Development

# Build TypeScript
pnpm run build

# Watch mode for development
pnpm run dev

# Run tests
npm test

Example Configurations

Basic Linear Layer

{
  inFeatures: 784,
  outFeatures: 128
}

Linear Layer without Bias

{
  inFeatures: 512,
  outFeatures: 256,
  bias: false
}

Small Dense Layer

{
  inFeatures: 64,
  outFeatures: 32,
  bias: true
}

Plugin Structure

• src/index.ts - Main plugin implementation
• manifest.json - Plugin metadata and configuration
• test.js - Plugin tests
• tsconfig.json - TypeScript configuration

Generated Code

This plugin generates PyTorch code for Linear layers:

import torch
import torch.nn as nn

# {{projectName}} Linear Layer: 784 -> 128 features
{{projectName}}_linear_layer = nn.Linear(784, 128, bias=True)

SDK Compatibility

This plugin is built with the Tensorify SDK v0.0.1 and extends the ModelLayerNode base class for optimal compatibility and functionality.

Contributing

• Fork the repository
• Create your feature branch (git checkout -b feature/amazing-feature)
• Commit your changes (git commit -m 'Add some amazing feature')
• Push to the branch (git push origin feature/amazing-feature)
• Open a Pull Request

License

MIT © {{year}} {{author}}

Created with

This plugin was created using create-tensorify-plugin.