Created using Colaboratory

pandeyaah · Jan 23, 2020 · 115b573 · 115b573
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commit 115b573
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diff --git a/pytorch_tutorial1.ipynb b/pytorch_tutorial1.ipynb
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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "pytorch_tutorial1.ipynb",
+      "provenance": [],
+      "authorship_tag": "ABX9TyPKLLjECvMJ707vhHjRLNLR",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "accelerator": "GPU"
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/EastbayML/pytorch_tutorial/blob/master/pytorch_tutorial1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "t5i_26lOZ3nU",
+        "colab_type": "text"
+      },
+      "source": [
+        "\n",
+        "East Bay Machine Learning pytorch tutorial series.\n",
+        "\n",
+        "---\n",
+        "\n",
+        "We will use this notebook as the launch point for our pytorch tutorial series.\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "WxpEAveycl2y",
+        "colab_type": "text"
+      },
+      "source": [
+        "We willl used a google doc as a shared online whiteboard. \n",
+        "https://docs.google.com/document/d/1N-5Ue0rk7g8CImayet-cgnaCkHJzXky7aeHrwUocXEM/edit?usp=sharing"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "nfKyRKincd7P",
+        "colab_type": "text"
+      },
+      "source": [
+        "To enable GPU hardware accelerator, just go to Runtime -> Change runtime type -> Hardware accelerator -> GPU"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "Fvf8AG2BbTkx",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 187
+        },
+        "outputId": "f68bd44a-1fac-405f-8abe-79bd08461eb9"
+      },
+      "source": [
+        "from __future__ import print_function\n",
+        "import torch\n",
+        "if torch.cuda.is_available():\n",
+        "    device = torch.device(\"cuda\")          # a CUDA device object\n",
+        "    x = torch.empty(5, 3)\n",
+        "    y = torch.ones_like(x, device=device)  # directly create a tensor on GPU\n",
+        "    x = x.to(device)                       # or just use strings ``.to(\"cuda\")``\n",
+        "    z = x + y\n",
+        "    print(z)\n",
+        "    print(z.to(\"cpu\", torch.double))\n",
+        "else:\n",
+        "  print(\"Cuda not available.\")"
+      ],
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "tensor([[1., 1., 1.],\n",
+            "        [1., 1., 1.],\n",
+            "        [1., 1., 1.],\n",
+            "        [1., 1., 1.],\n",
+            "        [1., 1., 1.]], device='cuda:0')\n",
+            "tensor([[1., 1., 1.],\n",
+            "        [1., 1., 1.],\n",
+            "        [1., 1., 1.],\n",
+            "        [1., 1., 1.],\n",
+            "        [1., 1., 1.]], dtype=torch.float64)\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "Cxu3FaMgdSDL",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 260
+        },
+        "outputId": "c8bf0972-134f-4e31-9e69-1aeb1b79321c"
+      },
+      "source": [
+        "import pydot, graphviz\n",
+        "from keras.utils import plot_model\n",
+        "plot_model(model, to_file='model.png')"
+      ],
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "Using TensorFlow backend.\n"
+          ],
+          "name": "stderr"
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "<p style=\"color: red;\">\n",
+              "The default version of TensorFlow in Colab will soon switch to TensorFlow 2.x.<br>\n",
+              "We recommend you <a href=\"https://www.tensorflow.org/guide/migrate\" target=\"_blank\">upgrade</a> now \n",
+              "or ensure your notebook will continue to use TensorFlow 1.x via the <code>%tensorflow_version 1.x</code> magic:\n",
+              "<a href=\"https://colab.research.google.com/notebooks/tensorflow_version.ipynb\" target=\"_blank\">more info</a>.</p>\n"
+            ],
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "error",
+          "ename": "NameError",
+          "evalue": "ignored",
+          "traceback": [
+            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+            "\u001b[0;32m<ipython-input-3-edaa5e034957>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mpydot\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgraphviz\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mkeras\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mutils\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mplot_model\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mplot_model\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mto_file\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'model.png'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+            "\u001b[0;31mNameError\u001b[0m: name 'model' is not defined"
+          ]
+        }
+      ]
+    }
+  ]
+}