PyTorch_basics.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "PyTorch basics"
      ],
      "metadata": {
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    {
      "cell_type": "markdown",
      "source": [
        "Basics of PyTorch"
      ],
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    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "EgunBLw0eGz2"
      },
      "outputs": [],
      "source": [
        "import torch"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "t=torch.Tensor(4)\n",
        "t.dtype"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2osdNPF9hkV6",
        "outputId": "52cc59bd-9305-4b0c-9fba-cf6ffae3863a"
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      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.float32"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "t1=torch.Tensor([1,2,3,4])\n",
        "t1"
      ],
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        },
        "id": "jmJSzc6zh0WB",
        "outputId": "923fbcb4-ec85-4e1a-a2ec-bc7cd4c69bab"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([1., 2., 3., 4.])"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "t2=torch.Tensor([[1,2],[3,4],[5,6]])\n",
        "t2"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZcOf2ukAh50u",
        "outputId": "d985c775-0acf-4ebe-a100-fa2a51529c8f"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[1., 2.],\n",
              "        [3., 4.],\n",
              "        [5., 6.]])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "t3 = torch.tensor([\n",
        "    [[1, 1, 3],\n",
        "     [3, 1, 5]],\n",
        "    [[5, 1, 1],\n",
        "     [7, 8, 9.]]])\n",
        "t3"
      ],
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        "colab": {
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        "id": "hROtOXwxhoV6",
        "outputId": "77423f33-cdb1-4aae-d10a-816f6f631132"
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      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[[1., 1., 3.],\n",
              "         [3., 1., 5.]],\n",
              "\n",
              "        [[5., 1., 1.],\n",
              "         [7., 8., 9.]]])"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "t3.size()"
      ],
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          "base_uri": "https://localhost:8080/"
        },
        "id": "mk-h7BLliPoS",
        "outputId": "1a7efe67-12a4-42c3-9850-1c448bc8ee9b"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([2, 2, 3])"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Type Conversions"
      ],
      "metadata": {
        "id": "8OFufeuQjXgs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "\n",
        "x=np.array([[1,3],[3,4]])\n",
        "x\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x8qdBF4fiilm",
        "outputId": "043959c8-cf01-4f18-c7a5-7f860db70e90"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1, 3],\n",
              "       [3, 4]])"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y=torch.from_numpy(x)\n",
        "y.dtype"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1OJIT7ATivwc",
        "outputId": "6fb2f9c2-9749-4f7f-e053-f68de5ca8c81"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.int64"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    }
  ]
}