Created using Colab

Author: ilmcconnell

colab_notebooks/Notebook07_CNNs_PyTorch.ipynb

@@ -1,15 +1,5 @@
 {
   "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
-      },
-      "source": [
-        "<a href=\"https://colab.research.google.com/github/ssec/WAF_ML_Tutorial_Part2/blob/main/colab_notebooks/Notebook07_CNNs_PyTorch.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -127,20 +117,21 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 33,
+      "execution_count": 64,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
         "id": "8SjBWq91QCCE",
-        "outputId": "e6e711ff-8e72-4f07-9dff-a8f1a90296f9"
+        "outputId": "d45da2e5-b6fc-461c-812c-fa59f374b1f3"
       },
       "outputs": [
         {
           "output_type": "stream",
           "name": "stdout",
           "text": [
-            "Using device: cpu\n"
+            "Using device: cpu\n",
+            "Set random seed: 42\n"
           ]
         }
       ],
@@ -179,10 +170,12 @@
         "# Set device to GPU if available, else CPU\n",
         "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
         "print(f\"Using device: {device}\")\n",
+        "\n",
         "seed = 42\n",
         "torch.manual_seed(seed)\n",
         "if torch.cuda.is_available():\n",
-        "    torch.cuda.manual_seed(seed)"
+        "    torch.cuda.manual_seed(seed)\n",
+        "print(f\"Set random seed: {seed}\")"
       ]
     },
     {
@@ -800,9 +793,6 @@
         "train_dataset = SubSevirDataset(ds_train)\n",
         "val_dataset = SubSevirDataset(ds_val)\n",
         "\n",
-        "# Set random seed\n",
-        "torch.manual_seed(42)\n",
-        "\n",
         "# Create DataLoaders\n",
         "batch_size = 32\n",
         "train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True)\n",
@@ -2371,8 +2361,7 @@
       "name": "python"
     },
     "colab": {
-      "provenance": [],
-      "include_colab_link": true
+      "provenance": []
     },
     "kernelspec": {
       "name": "python3",