Torchscript Exporter

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by jeremylongshore · vlatest · Repository

Converts PyTorch models to TorchScript for optimized performance and deployment across various environments – crucial for production use.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add torchscript-exporter npx -- -y @trustedskills/torchscript-exporter
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "torchscript-exporter": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/torchscript-exporter"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill allows you to export PyTorch models into TorchScript format. TorchScript is a subset of Python that can be serialized and executed without needing the full Python interpreter, enabling deployment in environments with limited resources or improved performance. This facilitates model optimization and portability across different platforms.

When to use it

  • Deploying models to mobile devices: TorchScript enables running PyTorch models on iOS and Android without a Python runtime.
  • Optimizing inference speed: TorchScript allows for ahead-of-time compilation, potentially leading to faster model execution.
  • Creating standalone applications: Package your PyTorch model into an application that doesn't require the user to have Python installed.
  • Sharing models with users who don’t use Python: Distribute a precompiled TorchScript version of your model for easy integration.

Key capabilities

  • Exports PyTorch models to TorchScript format.
  • Supports various PyTorch model architectures.
  • Facilitates model optimization and portability.

Example prompts

  • "Export this PyTorch model named 'my_model' to TorchScript."
  • "Convert the current Python script containing a neural network into TorchScript."
  • “Generate a TorchScript file for my image classification model.”

Tips & gotchas

  • Ensure your PyTorch model is compatible with TorchScript. Not all dynamic operations are supported, requiring potential modifications to the model definition.

Tags

🛡️

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Details

Version
vlatest
License
Author
jeremylongshore
Installs
13

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Passed automated security scans.