burn/examples/notebook/plots.ipynb

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   "source": [
    "# This notebook demonstrates basic tensor operations in Burn."
   ]
  },
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    "// Dependency declarations for the notebook. WARNING: It may take a while to compile the first time.\n",
    "\n",
    "// The syntax is similar to the one used in the Cargo.toml file. Just prefix with :dep\n",
    "// See: https://github.com/evcxr/evcxr/blob/main/COMMON.md\n",
    "\n",
    ":dep burn = {path = \"../../crates/burn\"}\n",
    ":dep burn-ndarray = {path = \"../../crates/burn-ndarray\"}\n",
    "\n",
    "// The following dependencies are used for plotting\n",
    ":dep image = \"0.23\"\n",
    ":dep evcxr_image = \"1.1\""
   ]
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   "source": [
    "// Import packages\n",
    "use burn::tensor::Tensor;\n",
    "use burn_ndarray::NdArray\n",
    "\n",
    "// Import plotting library\n",
    "use evcxr_image::ImageDisplay;\n",
    "\n",
    "// Type alias for the backend\n",
    "type B = NdArray<f32>;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Image from tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "vscode": {
     "languageId": "rust"
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   "source": [
    "// Create a random tensor\n",
    "use burn::tensor::Distribution;\n",
    "let tensor: Tensor<B, 3> = Tensor::random([3, 256, 256], Distribution::Default, &Default::default());\n",
    "\n",
    "// TODO Use tenso to display plots\n",
    "image::ImageBuffer::from_fn(256, 256, |x, y| {\n",
    "    if (x as i32 - y as i32).abs() < 3 {\n",
    "        image::Rgb([0, 0, 255])\n",
    "    } else {\n",
    "        image::Rgb([0, 0, 0])\n",
    "    }\n",
    "})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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