unet_inference.ipynb 1.66 KB
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{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0c406267",
   "metadata": {},
   "source": [
    "## Import MIGraphX Python Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c33a7caf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import migraphx"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "679b7860",
   "metadata": {},
   "source": [
    "## Fetch U-NET ONNX Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5303185a",
   "metadata": {},
   "outputs": [],
   "source": [
    "!wget "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ecdc9943",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c34d0012",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac3742a9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a5526b1f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1eab2d51",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}