cleanup notebooks

Author: vpj

labml_nn/capsule_networks/mnist.ipynb

@@ -31,7 +31,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -42,10 +41,11 @@
      "name": "#%%\n"
     }
    },
-   "outputs": [],
    "source": [
     "!pip install labml-nn --quiet"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -61,7 +61,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "collapsed": false,
     "jupyter": {
@@ -71,15 +70,16 @@
      "name": "#%%\n"
     }
    },
-   "outputs": [],
    "source": [
     "import torch\n",
     "import torch.nn as nn\n",
     "\n",
     "from labml import experiment\n",
     "from labml.configs import option\n",
     "from labml_nn.diffusion.ddpm.experiment import Configs"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -94,7 +94,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "collapsed": false,
     "jupyter": {
@@ -104,10 +103,11 @@
      "name": "#%%\n"
     }
    },
-   "outputs": [],
    "source": [
     "experiment.create(name=\"diffuse\", writers={'screen'})"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -122,7 +122,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "collapsed": false,
     "jupyter": {
@@ -132,10 +131,11 @@
      "name": "#%%\n"
     }
    },
-   "outputs": [],
    "source": [
     "configs = Configs()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -150,7 +150,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "collapsed": false,
     "jupyter": {
@@ -160,14 +159,15 @@
      "name": "#%%\n"
     }
    },
-   "outputs": [],
    "source": [
     "experiment.configs(configs, {\n",
     "    'dataset': 'MNIST',\n",
     "    'image_channels': 1,\n",
     "    'epochs': 5,\n",
     "})"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -182,16 +182,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
-   "outputs": [],
    "source": [
     "configs.init()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -207,7 +207,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -219,10 +218,11 @@
      "name": "#%%\n"
     }
    },
-   "outputs": [],
    "source": [
     "experiment.add_pytorch_models({'eps_model': configs.eps_model})"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -238,7 +238,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -250,23 +249,24 @@
      "name": "#%%\n"
     }
    },
-   "outputs": [],
    "source": [
     "# Start the experiment\n",
     "with experiment.start():\n",
     "    configs.run()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
+   "source": [],
    "outputs": [],
-   "source": []
+   "execution_count": null
   }
  ],
  "metadata": {
@@ -296,4 +296,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
+}