pytorch_tutorial.ipynb

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  "metadata": {
    "colab": {
      "name": "pytorch-tutorial.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyPiZOtwhJjcnDp/G/8dIIqB",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/kschoi93/AI/blob/master/pytorch_tutorial.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 파이토치"
      ],
      "metadata": {
        "id": "zKT7lqMS4eFB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import torch"
      ],
      "metadata": {
        "id": "tSe9Z7gR_h2Z"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x = torch.FloatTensor([[1, 2], [3, 4]])\n",
        "y = torch.FloatTensor([[5, 6], [7, 8]])"
      ],
      "metadata": {
        "id": "YVYpikzQ49qH"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x + y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qkvXH3bO5Hrp",
        "outputId": "7360e59b-35e4-463c-83c2-82b6c6122de6"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[ 6.,  8.],\n",
              "        [10., 12.]])"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x - y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-wM9TRBl5JFv",
        "outputId": "a09fc3c4-40b1-460b-d634-7cdf715a2011"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[-4., -4.],\n",
              "        [-4., -4.]])"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x * y "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pQqSWbaX5Kdr",
        "outputId": "4a165874-d8e3-4b1a-e56e-b1ea15d9428c"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[ 5., 12.],\n",
              "        [21., 32.]])"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x**2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "yEkOzHjB5Lfu",
        "outputId": "afc92f9b-2e57-4014-bf62-017f88274450"
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      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[ 1.,  4.],\n",
              "        [ 9., 16.]])"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "torch.mean(x+y)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MIZ7y5VN5NMe",
        "outputId": "269b798c-83c0-4dbf-f424-1683fb73bcec"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor(9.)"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
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      "cell_type": "code",
      "source": [
        "x.mean()"
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        "id": "JX_nu1BN5RGG",
        "outputId": "df715912-3c04-49ba-89b6-f781585a9d75"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor(2.5000)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
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    {
      "cell_type": "code",
      "source": [
        "x.mul(y)"
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      "metadata": {
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        "id": "tgDYQwpK5Val",
        "outputId": "85b4158c-2431-4556-8644-27ee7c2b12ec"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[ 5., 12.],\n",
              "        [21., 32.]])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "torch.ones_like(x)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7Kgs8F-35bUz",
        "outputId": "3c041285-fbc7-49d3-99af-03895830738a"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[1., 1.],\n",
              "        [1., 1.]])"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "torch.zeros_like(y)"
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        "id": "d-bpN8zR5elb",
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      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[0., 0.],\n",
              "        [0., 0.]])"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
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      "cell_type": "code",
      "source": [
        "x.shape"
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      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([2, 2])"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x.view(-1,)"
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          "base_uri": "https://localhost:8080/"
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        "outputId": "796cebdf-5029-465a-a3b9-f6585beb279b"
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      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([1., 2., 3., 4.])"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x.view(-1).shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IPBddolr55_w",
        "outputId": "541805eb-d548-40af-ced0-b7490cef7c78"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([4])"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x.view(1,4)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
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        "id": "8UCt_sCg5wo5",
        "outputId": "d4345f95-a568-4261-c4bf-10dfe0e19ed0"
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        {
          "output_type": "execute_result",
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            "text/plain": [
              "tensor([[1., 2., 3., 4.]])"
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          "metadata": {},
          "execution_count": 28
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      "cell_type": "code",
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        "x.view(4,1)"
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        {
          "output_type": "execute_result",
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            "text/plain": [
              "tensor([[1.],\n",
              "        [2.],\n",
              "        [3.],\n",
              "        [4.]])"
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          "execution_count": 29
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      "cell_type": "code",
      "source": [
        "squ = x.unsqueeze(0)\n",
        "squ"
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          "base_uri": "https://localhost:8080/"
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        "id": "_HsdR8yM538e",
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      "execution_count": 38,
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          "output_type": "execute_result",
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            "text/plain": [
              "tensor([[[1., 2.],\n",
              "         [3., 4.]]])"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
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      "cell_type": "code",
      "source": [
        "squ.squeeze()"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eem2WIxu6Jo1",
        "outputId": "fc53f758-490a-4d42-cc35-3dda8158e5d2"
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      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[1., 2.],\n",
              "        [3., 4.]])"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
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    {
      "cell_type": "code",
      "source": [
        "torch.stack([x,y])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O4-0gOkM6YO0",
        "outputId": "4c22ab13-265f-461f-bcf3-90ba7addd176"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[[1., 2.],\n",
              "         [3., 4.]],\n",
              "\n",
              "        [[5., 6.],\n",
              "         [7., 8.]]])"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "torch.cat((y,x))"
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      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H3RvSE0Z6ljk",
        "outputId": "7506adb8-b769-4eaa-c7e8-5d7c4d4fda85"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[5., 6.],\n",
              "        [7., 8.],\n",
              "        [1., 2.],\n",
              "        [3., 4.]])"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
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        ""
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      "outputs": []
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}