{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Generating a LibProto\n\nThe examples below show how we can define a library consisting of multiple functions,\nand export it.\n\n**This is preliminary. Proto extensions are required to fully support LibProto.**\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from onnxscript import export_onnx_lib, script\nfrom onnxscript import opset15 as op\nfrom onnxscript.values import Opset"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The domain/version of the library functions defined below\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "opset = Opset(\"com.mydomain\", 1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "The definitions of the functions:\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "@script(opset)\ndef l2norm(X):\n    return op.ReduceSum(X * X, keepdims=1)\n\n\n@script(opset)\ndef square_loss(X, Y):\n    return l2norm(op.Sub(X, Y))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Export the functions as an ONNX library.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "export_onnx_lib([l2norm, square_loss], \"mylib.onnxlib\")"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.14"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}