ML-For-Beginners/PyTorch_Fundamentals.ipynb

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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4",
"authorship_tag": "ABX9TyOgv0AozH1FKQBD+RkgT2bV",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/karthiksivakoti/ML-For-Beginners/blob/main/PyTorch_Fundamentals.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "EHh5JllMh1rG",
"outputId": "f55755ad-c369-414c-85ec-6e9d4f061a02",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
}
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'2.2.1+cu121'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 1
}
],
"source": [
"import torch\n",
"torch.__version__"
]
},
{
"cell_type": "code",
"source": [
"print(\"I am excited to run this\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "UPlb-duwXAfz",
"outputId": "cfd687e4-1238-49f4-ab6b-ee1305b740d2"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"I am excited to run this\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import torch\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"print(torch.__version__)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "byWVlJ9wXDSk",
"outputId": "fd74a5c4-4d4a-41b2-ef3c-562ea3e4811f"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"2.2.1+cu121\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# **Introduction to Tensors**"
],
"metadata": {
"id": "Osm80zoEYklS"
}
},
{
"cell_type": "code",
"source": [
"# scalar\n",
"scalar = torch.tensor(7)\n",
"scalar"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-o8wvJ-VXZmI",
"outputId": "558816f5-1205-4de1-fe1f-2f96e9bd79e6"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor(7)"
]
},
"metadata": {},
"execution_count": 4
}
]
},
{
"cell_type": "code",
"source": [
"scalar.ndim"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "mCZ2tXC4Y_Sg",
"outputId": "2d86dbdc-56e1-45c6-d3dd-14515f2a457a"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"0"
]
},
"metadata": {},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"source": [
"scalar.item()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ssN00By0ZQgS",
"outputId": "490f40d1-5135-4969-a6d3-c8c902cdc473"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"7"
]
},
"metadata": {},
"execution_count": 6
}
]
},
{
"cell_type": "code",
"source": [
"# vector\n",
"vector = torch.tensor([7, 7])\n",
"vector\n",
"#vector.ndim\n",
"#vector.item()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Bws__5wlZnmF",
"outputId": "944e38f9-5ba1-4ddc-a9c6-cfb6a19bb488"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([7, 7])"
]
},
"metadata": {},
"execution_count": 7
}
]
},
{
"cell_type": "code",
"source": [
"vector.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "9pjCvnsZZzNG",
"outputId": "e030a4da-8f81-4858-fbce-86da2aaafe52"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"torch.Size([2])"
]
},
"metadata": {},
"execution_count": 8
}
]
},
{
"cell_type": "code",
"source": [
"# Matrix\n",
"MATRIX = torch.tensor([[7, 8],[9, 10]])\n",
"MATRIX"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "a747hI9SaBGW",
"outputId": "af835ddb-81ff-4981-badb-441567194d15"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[ 7, 8],\n",
" [ 9, 10]])"
]
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"source": [
"MATRIX.ndim"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "XdTfFa7vaRUj",
"outputId": "0fbbab9c-8263-4cad-a380-0d2a16ca499e"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"2"
]
},
"metadata": {},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"source": [
"MATRIX[0]\n",
"MATRIX[1]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "TFeD3jSDafm7",
"outputId": "69b44ab3-5ba7-451a-c6b2-f019a03d0c96"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([ 9, 10])"
]
},
"metadata": {},
"execution_count": 11
}
]
},
{
"cell_type": "code",
"source": [
"# Tensor\n",
"TENSOR = torch.tensor([[[1, 2, 3],[3,6,9], [2,4,5]]])\n",
"TENSOR"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ic3cE47tah42",
"outputId": "f250e295-91de-43ec-9d80-588a6fe0abde"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[[1, 2, 3],\n",
" [3, 6, 9],\n",
" [2, 4, 5]]])"
]
},
"metadata": {},
"execution_count": 12
}
]
},
{
"cell_type": "code",
"source": [
"TENSOR.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Wvjf5fczbAM1",
"outputId": "9c72b5b8-bafe-4ae7-9883-b051e209eada"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"torch.Size([1, 3, 3])"
]
},
"metadata": {},
"execution_count": 13
}
]
},
{
"cell_type": "code",
"source": [
"TENSOR.ndim"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "mwtXZwiMbN3m",
"outputId": "331a5e36-b1b0-4a5f-a9b8-e7049cbaa8f9"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"3"
]
},
"metadata": {},
"execution_count": 14
}
]
},
{
"cell_type": "code",
"source": [
"TENSOR[0]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vzdZu_IfbP3J",
"outputId": "e24e7e71-e365-412d-ff50-fc094b56d2f3"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[1, 2, 3],\n",
" [3, 6, 9],\n",
" [2, 4, 5]])"
]
},
"metadata": {},
"execution_count": 15
}
]
},
{
"cell_type": "markdown",
"source": [
"# RANDOM TENSOR"
],
"metadata": {
"id": "A8OL9eWfcRrJ"
}
},
{
"cell_type": "code",
"source": [
"random_tensor = torch.rand(3,4)\n",
"random_tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hAqSDE1EcVS_",
"outputId": "946171c3-d054-400c-f893-79110356888c"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[0.4414, 0.7681, 0.8385, 0.3166],\n",
" [0.0468, 0.5812, 0.0670, 0.9173],\n",
" [0.2959, 0.3276, 0.7411, 0.4643]])"
]
},
"metadata": {},
"execution_count": 16
}
]
},
{
"cell_type": "code",
"source": [
"random_tensor.ndim"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "g4fvPE5GcwzP",
"outputId": "8737f36b-6864-4059-eaed-6f9156c22306"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"2"
]
},
"metadata": {},
"execution_count": 17
}
]
},
{
"cell_type": "code",
"source": [
"random_tensor.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "XsAg99QmdAU6",
"outputId": "35467c11-257c-4f16-99aa-eca930bcbc36"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"torch.Size([3, 4])"
]
},
"metadata": {},
"execution_count": 18
}
]
},
{
"cell_type": "code",
"source": [
"random_tensor.size()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "cii1pNdVdB68",
"outputId": "fc8d2de6-9215-43de-99f7-7b0d7f7d20fa"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"torch.Size([3, 4])"
]
},
"metadata": {},
"execution_count": 19
}
]
},
{
"cell_type": "code",
"source": [
"random_image_tensor = torch.rand(size=(3, 224, 224)) #color channels, height, width\n",
"random_image_tensor.ndim, random_image_tensor.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "aTKq2j0cdDjb",
"outputId": "6be42057-20b9-4faf-d79d-8b65c42cc27e"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(3, torch.Size([3, 224, 224]))"
]
},
"metadata": {},
"execution_count": 20
}
]
},
{
"cell_type": "code",
"source": [
"random_tensor_ofownsize = torch.rand(size=(5,10,10))\n",
"random_tensor_ofownsize.ndim, random_tensor_ofownsize.shape\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "IyhDdj-Pd6nC",
"outputId": "43e5e334-6d4d-4b67-f87d-7d364c6d8c67"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(3, torch.Size([5, 10, 10]))"
]
},
"metadata": {},
"execution_count": 21
}
]
},
{
"cell_type": "markdown",
"source": [
"Zeroes and Ones tensor"
],
"metadata": {
"id": "UOJW08uOert_"
}
},
{
"cell_type": "code",
"source": [
"zero = torch.zeros(size=(3, 4))\n",
"zero"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "uGvXtaXyefie",
"outputId": "d40d3e28-8667-4d2f-8b62-f0829c6162ad"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[0., 0., 0., 0.],\n",
" [0., 0., 0., 0.],\n",
" [0., 0., 0., 0.]])"
]
},
"metadata": {},
"execution_count": 22
}
]
},
{
"cell_type": "code",
"source": [
"zero*random_tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "OyUkUPkDe0uH",
"outputId": "26c2e4be-36ba-4c6c-9a90-2704ec135828"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[0., 0., 0., 0.],\n",
" [0., 0., 0., 0.],\n",
" [0., 0., 0., 0.]])"
]
},
"metadata": {},
"execution_count": 23
}
]
},
{
"cell_type": "code",
"source": [
"ones = torch.ones(size=(3, 4))\n",
"ones\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "y_Ac62Aqe82G",
"outputId": "291de5d9-b9df-49de-c9d1-d098e3e9f4d8"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[1., 1., 1., 1.],\n",
" [1., 1., 1., 1.],\n",
" [1., 1., 1., 1.]])"
]
},
"metadata": {},
"execution_count": 24
}
]
},
{
"cell_type": "code",
"source": [
"ones.dtype"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "TvGOA9odfIEO",
"outputId": "45949ef4-6649-4b6c-d6af-2d4bfb8de832"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"torch.float32"
]
},
"metadata": {},
"execution_count": 25
}
]
},
{
"cell_type": "code",
"source": [
"ones*zero"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "--pTyge-fI-8",
"outputId": "c4d9bb7e-829b-43db-e2db-b1a2d64e61f0"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[0., 0., 0., 0.],\n",
" [0., 0., 0., 0.],\n",
" [0., 0., 0., 0.]])"
]
},
"metadata": {},
"execution_count": 26
}
]
},
{
"cell_type": "markdown",
"source": [
"Range of Tensors, Tensor - like"
],
"metadata": {
"id": "qDcc7Z36fSJF"
}
},
{
"cell_type": "code",
"source": [
"one_to_ten = torch.arange(start = 1, end = 11, step = 1)\n",
"one_to_ten"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "w3CZB4zUfR1s",
"outputId": "197fcba1-da0a-4b4a-ed11-3974bd6c01aa"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10])"
]
},
"metadata": {},
"execution_count": 27
}
]
},
{
"cell_type": "code",
"source": [
"ten_zeros = torch.zeros_like(one_to_ten)\n",
"ten_zeros"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "WZh99BwVfRy8",
"outputId": "51ef8bfb-6fa0-4099-ff66-b97d65b2ddea"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
]
},
"metadata": {},
"execution_count": 28
}
]
},
{
"cell_type": "markdown",
"source": [
"Tensor Datatypes"
],
"metadata": {
"id": "pGGhgsbUgqbW"
}
},
{
"cell_type": "code",
"source": [
"float_32_tensor = torch.tensor([3.0, 6.0,9.0], dtype = None, device = None, requires_grad = False)\n",
"float_32_tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JORJl4XkfRsx",
"outputId": "71114171-0f49-481f-b6fc-6cb48e2fb895"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([3., 6., 9.])"
]
},
"metadata": {},
"execution_count": 29
}
]
},
{
"cell_type": "code",
"source": [
"float_32_tensor.dtype"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "6wOPPwGyfRLn",
"outputId": "f23776a1-b682-404a-9f67-d5bcb0402666"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"torch.float32"
]
},
"metadata": {},
"execution_count": 30
}
]
},
{
"cell_type": "code",
"source": [
"float_16_tensor = float_32_tensor.type(torch.float16)\n",
"float_16_tensor.dtype"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "tFsHCvmZfOYe",
"outputId": "d3aa305a-7591-47f5-97fd-61bff60b44bd"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"torch.float16"
]
},
"metadata": {},
"execution_count": 31
}
]
},
{
"cell_type": "code",
"source": [
"float_16_tensor*float_32_tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "TQiCGTPuwq0q",
"outputId": "98750fce-1ca3-4889-e269-8b753efdea96"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([ 9., 36., 81.])"
]
},
"metadata": {},
"execution_count": 32
}
]
},
{
"cell_type": "code",
"source": [
"int_32_tensor = torch.tensor([3, 6, 9], dtype = torch.int32)\n",
"int_32_tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "5hlrLvGUw5D_",
"outputId": "41d890a0-9aee-446c-d906-631ce2ab0995"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([3, 6, 9], dtype=torch.int32)"
]
},
"metadata": {},
"execution_count": 33
}
]
},
{
"cell_type": "code",
"source": [
"int_32_tensor*float_32_tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ihApD9u3xTNW",
"outputId": "d295eed0-6996-4e0f-8502-ff4b55cd1373"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([ 9., 36., 81.])"
]
},
"metadata": {},
"execution_count": 34
}
]
},
{
"cell_type": "code",
"source": [
"x = torch.arange(0,100,10)"
],
"metadata": {
"id": "utKhlb_KxWDQ"
},
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{
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},
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{
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"metadata": {},
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{
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{
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{
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"metadata": {},
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{
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"metadata": {},
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{
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{
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"metadata": {},
"execution_count": 44
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},
{
"cell_type": "code",
"source": [
"x[9]"
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{
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},
"metadata": {},
"execution_count": 45
}
]
},
{
"cell_type": "code",
"source": [
"x = torch.arange(1, 10)\n",
"x.shape"
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"metadata": {
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"id": "0GPOxEzkcBHO",
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{
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},
"metadata": {},
"execution_count": 46
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},
{
"cell_type": "code",
"source": [
"x_reshaped = x.reshape(1,9)\n",
"x_reshaped, x_reshaped.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "spmRgQjwddgp",
"outputId": "85a7c55c-2909-4ea2-fc68-386dddc65742"
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{
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},
"metadata": {},
"execution_count": 47
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{
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{
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},
"metadata": {},
"execution_count": 48
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{
"cell_type": "code",
"source": [
"x_stacked = torch.stack([x, x, x, x], dim = 1)\n",
"x_stacked"
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"id": "jgCeJcaud_-1",
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" [6, 6, 6, 6],\n",
" [7, 7, 7, 7],\n",
" [8, 8, 8, 8],\n",
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" [6, 6, 6, 6],\n",
" [7, 7, 7, 7],\n",
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" [9, 9, 9, 9]])"
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"metadata": {},
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{
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" [[2, 2, 2, 2]],\n",
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" [[3, 3, 3, 3]],\n",
"\n",
" [[4, 4, 4, 4]],\n",
"\n",
" [[5, 5, 5, 5]],\n",
"\n",
" [[6, 6, 6, 6]],\n",
"\n",
" [[7, 7, 7, 7]],\n",
"\n",
" [[8, 8, 8, 8]],\n",
"\n",
" [[9, 9, 9, 9]]])"
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},
"metadata": {},
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{
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" [2, 2, 2, 2],\n",
" [3, 3, 3, 3],\n",
" [4, 4, 4, 4],\n",
" [5, 5, 5, 5],\n",
" [6, 6, 6, 6],\n",
" [7, 7, 7, 7],\n",
" [8, 8, 8, 8],\n",
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"metadata": {},
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{
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{
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"\n",
" [[2, 2, 2, 2]],\n",
"\n",
" [[3, 3, 3, 3]],\n",
"\n",
" [[4, 4, 4, 4]],\n",
"\n",
" [[5, 5, 5, 5]],\n",
"\n",
" [[6, 6, 6, 6]],\n",
"\n",
" [[7, 7, 7, 7]],\n",
"\n",
" [[8, 8, 8, 8]],\n",
"\n",
" [[9, 9, 9, 9]]])"
]
},
"metadata": {},
"execution_count": 55
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]
},
{
"cell_type": "code",
"source": [
"import torch\n",
"tensor = torch.tensor([1, 2, 3])\n",
"tensor = tensor - 10\n",
"tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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"id": "cFfiD7Nth7Z_",
"outputId": "1139e1f8-fc1a-46ca-d636-f2bc4fd2eef6"
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{
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"tensor([-9, -8, -7])"
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},
"metadata": {},
"execution_count": 7
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]
},
{
"cell_type": "code",
"source": [
"torch.mul(tensor, 10)"
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"colab": {
"base_uri": "https://localhost:8080/"
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"id": "dyA7BM_GHhqE",
"outputId": "0e3b9671-d9e8-4a32-87bb-59bc05986142"
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"outputs": [
{
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"text/plain": [
"tensor([-90, -80, -70])"
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},
"metadata": {},
"execution_count": 9
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},
{
"cell_type": "code",
"source": [
"torch.sub(tensor, 100)"
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"colab": {
"base_uri": "https://localhost:8080/"
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"id": "owtUsZ1KNegI",
"outputId": "189b7b23-0041-4e09-b991-cd209a48506a"
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"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([-109, -108, -107])"
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},
"metadata": {},
"execution_count": 10
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{
"cell_type": "code",
"source": [
"torch.add(tensor, 100)"
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"id": "K5STXlQONsyc",
"outputId": "00cbb79a-0a1d-4e21-86ec-5c91c37a2d01"
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"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([91, 92, 93])"
]
},
"metadata": {},
"execution_count": 11
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},
{
"cell_type": "code",
"source": [
"torch.divide(tensor, 2)"
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"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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"id": "xqMGnzIUNvp0",
"outputId": "c894cf3e-f148-45f8-cfc8-d78740735306"
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"execution_count": null,
"outputs": [
{
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"data": {
"text/plain": [
"tensor([-4.5000, -4.0000, -3.5000])"
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},
"metadata": {},
"execution_count": 13
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]
},
{
"cell_type": "code",
"source": [
"torch.matmul(tensor, tensor)"
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"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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"id": "ruGzKpV8NyBc",
"outputId": "fddb63bf-006f-48b6-ae28-287fbcda8bc5"
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"outputs": [
{
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"tensor(194)"
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},
"metadata": {},
"execution_count": 15
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]
},
{
"cell_type": "code",
"source": [
"tensor@tensor"
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"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "8GS3r9yTeGfD",
"outputId": "c80b12ac-30b5-4f3d-c38c-9e41ba511b0e"
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"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
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"tensor(194)"
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},
"metadata": {},
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},
{
"cell_type": "code",
"source": [
"%%time\n",
"tensor@tensor"
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"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "QmuYHqXTemC0",
"outputId": "402fe3ba-70b5-4bb2-c83b-254db84ff810"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"CPU times: user 622 µs, sys: 0 ns, total: 622 µs\n",
"Wall time: 516 µs\n"
]
},
{
"output_type": "execute_result",
"data": {
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"tensor(194)"
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},
"metadata": {},
"execution_count": 17
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},
{
"cell_type": "code",
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"%%time\n",
"torch.matmul(tensor,tensor)"
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"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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"id": "dGr1fzdNepd8",
"outputId": "97bd6c91-bc25-4b38-cdf5-f22dcdef243e"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"CPU times: user 424 µs, sys: 998 µs, total: 1.42 ms\n",
"Wall time: 1.43 ms\n"
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},
{
"output_type": "execute_result",
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},
"metadata": {},
"execution_count": 18
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{
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"torch.rand(3,2)"
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"id": "pGYDoK2gevfo",
"outputId": "2c8783d5-0453-47c5-c7ed-af10d25d6989"
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{
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" [0.9321, 0.3026],\n",
" [0.3463, 0.3872]])"
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},
"metadata": {},
"execution_count": 20
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{
"cell_type": "code",
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"torch.matmul(torch.rand(3,2), torch.rand(2,3))"
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"metadata": {
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"id": "KGBGQoB8e2DP",
"outputId": "4c2ef361-a2d0-41ee-c328-3992cbbc138d"
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"execution_count": null,
"outputs": [
{
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"text/plain": [
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" [1.2791, 0.7110, 0.2563],\n",
" [0.8812, 0.4553, 0.1803]])"
]
},
"metadata": {},
"execution_count": 23
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},
{
"cell_type": "code",
"source": [
"import torch"
],
"metadata": {
"id": "ib8DMtkBe_LJ"
},
"execution_count": 1,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x = torch.rand(2,9)"
],
"metadata": {
"id": "nJo8ZBdrQY1b"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
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"id": "wi6oRv4MQfgf",
"outputId": "55c99f55-31f6-4cf5-ba4e-19a47c3a0167"
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"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"data": {
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},
"metadata": {},
"execution_count": 3
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},
{
"cell_type": "code",
"source": [
"y=torch.randn(2,3,5)\n",
"y"
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"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Zpx8myAUQgoc",
"outputId": "07756d70-56bd-437c-c74e-9aecc1a77311"
},
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
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" [ 0.0932, 1.4079, 0.9108, 0.3328, -0.6978]],\n",
"\n",
" [[-0.9406, -1.0809, -0.2595, 0.1282, 1.6605],\n",
" [ 1.1624, 1.0902, 1.7092, -0.2842, -1.3780],\n",
" [-0.1534, -1.2795, -0.5495, 0.9902, 0.1822]]])"
]
},
"metadata": {},
"execution_count": 5
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]
},
{
"cell_type": "code",
"source": [
"x_original = torch.rand(size=(224,224,3))\n",
"x_original"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "s4U-X9bJQnWe",
"outputId": "657a7a76-962c-4b41-a76b-902d0482266c"
},
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"data": {
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" [0.4824, 0.9008, 0.8741],\n",
" [0.1715, 0.1757, 0.1845],\n",
" ...,\n",
" [0.8741, 0.6594, 0.2610],\n",
" [0.0092, 0.1984, 0.1955],\n",
" [0.4236, 0.4182, 0.0251]],\n",
"\n",
" [[0.9174, 0.1661, 0.5852],\n",
" [0.1837, 0.2351, 0.3810],\n",
" [0.3726, 0.4808, 0.8732],\n",
" ...,\n",
" [0.6794, 0.0554, 0.9202],\n",
" [0.0864, 0.8750, 0.3558],\n",
" [0.8445, 0.9759, 0.4934]],\n",
"\n",
" [[0.1600, 0.2635, 0.7194],\n",
" [0.9488, 0.3405, 0.3647],\n",
" [0.6683, 0.5168, 0.9592],\n",
" ...,\n",
" [0.0521, 0.0140, 0.2445],\n",
" [0.3596, 0.3999, 0.2730],\n",
" [0.5926, 0.9877, 0.7784]],\n",
"\n",
" ...,\n",
"\n",
" [[0.4794, 0.5635, 0.3764],\n",
" [0.9124, 0.6094, 0.5059],\n",
" [0.4528, 0.4447, 0.5021],\n",
" ...,\n",
" [0.0089, 0.4816, 0.8727],\n",
" [0.2173, 0.6296, 0.2347],\n",
" [0.2028, 0.9931, 0.7201]],\n",
"\n",
" [[0.3116, 0.6459, 0.4703],\n",
" [0.0148, 0.2345, 0.7149],\n",
" [0.8393, 0.5804, 0.6691],\n",
" ...,\n",
" [0.2105, 0.9460, 0.2696],\n",
" [0.5918, 0.9295, 0.2616],\n",
" [0.2537, 0.7819, 0.4700]],\n",
"\n",
" [[0.6654, 0.1200, 0.5841],\n",
" [0.9147, 0.5522, 0.6529],\n",
" [0.1799, 0.5276, 0.5415],\n",
" ...,\n",
" [0.7536, 0.4346, 0.8793],\n",
" [0.3793, 0.1750, 0.7792],\n",
" [0.9266, 0.8325, 0.9974]]])"
]
},
"metadata": {},
"execution_count": 6
}
]
},
{
"cell_type": "code",
"source": [
"x_permuted=x_original.permute(2, 0, 1)\n",
"print(x_original.shape)\n",
"print(x_permuted.shape)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DD19_zvbQzHo",
"outputId": "1d64ce1b-eb48-47e3-90b6-7f1340e7f2b2"
},
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"torch.Size([224, 224, 3])\n",
"torch.Size([3, 224, 224])\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"x_original[0,0,0]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "NnPmMk4ZRF7w",
"outputId": "2cd5da7f-4a23-4a76-8c4a-bb982113f2a4"
},
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor(0.4549)"
]
},
"metadata": {},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"source": [
"x_permuted[0,0,0]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Z0ylNoAARgTo",
"outputId": "ddca0298-cddf-4048-9b71-a791655e5bed"
},
"execution_count": 11,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor(0.4549)"
]
},
"metadata": {},
"execution_count": 11
}
]
},
{
"cell_type": "code",
"source": [
"x_original[0,0,0]=0.989"
],
"metadata": {
"id": "RXw0xXsDRi4L"
},
"execution_count": 13,
"outputs": []
},
{
"cell_type": "code",
"source": [
"x_original[0,0,0]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1sFdV6wzRo3f",
"outputId": "1cf87d2c-6d88-453a-d136-0f625a2800f1"
},
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor(0.9890)"
]
},
"metadata": {},
"execution_count": 14
}
]
},
{
"cell_type": "code",
"source": [
"x_permuted[0,0,0]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xTX-hx2SR1wp",
"outputId": "0d4908c4-c3bc-44e3-8ec6-1487104cc209"
},
"execution_count": 15,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor(0.9890)"
]
},
"metadata": {},
"execution_count": 15
}
]
},
{
"cell_type": "code",
"source": [
"x=torch.arange(1,10).reshape(1,3,3)\n",
"x, x.shape"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "mZomOe7gR4Q8",
"outputId": "0b3c922f-ec11-46de-b8a5-9f9533d866ad"
},
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(tensor([[[1, 2, 3],\n",
" [4, 5, 6],\n",
" [7, 8, 9]]]),\n",
" torch.Size([1, 3, 3]))"
]
},
"metadata": {},
"execution_count": 18
}
]
},
{
"cell_type": "code",
"source": [
"x[0]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "3y7v4SQvSBs1",
"outputId": "8c53307d-e628-404d-db66-56c6bdffab7c"
},
"execution_count": 19,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([[1, 2, 3],\n",
" [4, 5, 6],\n",
" [7, 8, 9]])"
]
},
"metadata": {},
"execution_count": 19
}
]
},
{
"cell_type": "code",
"source": [
"x[0][0]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hf9uG4xLSNya",
"outputId": "3075bc42-9ffa-426b-8a86-95628ffcd824"
},
"execution_count": 21,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([1, 2, 3])"
]
},
"metadata": {},
"execution_count": 21
}
]
},
{
"cell_type": "code",
"source": [
"x[0][0][0]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "zA4G2Se4SRB3",
"outputId": "324312d2-ed0a-49eb-f81f-e904e53992fe"
},
"execution_count": 22,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor(1)"
]
},
"metadata": {},
"execution_count": 22
}
]
},
{
"cell_type": "code",
"source": [
"x[0][2][2]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Mwy3zmKKSdbk",
"outputId": "d35172c3-b099-40a6-ddf1-a453c2adfa44"
},
"execution_count": 23,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor(9)"
]
},
"metadata": {},
"execution_count": 23
}
]
},
{
"cell_type": "code",
"source": [
"x[:,1,1]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "fE3nCM1KS7XT",
"outputId": "01f5d755-9737-4235-9f73-dce89ff6ba16"
},
"execution_count": 24,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([5])"
]
},
"metadata": {},
"execution_count": 24
}
]
},
{
"cell_type": "code",
"source": [
"x[0,0,:]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "luNDINKNTTxp",
"outputId": "091195ef-2f71-4602-e95f-529a69193150"
},
"execution_count": 25,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([1, 2, 3])"
]
},
"metadata": {},
"execution_count": 25
}
]
},
{
"cell_type": "code",
"source": [
"x[0,:,2]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "KG8A4xbfThCL",
"outputId": "5866bc41-9241-4619-be7b-e9206b3f80ab"
},
"execution_count": 26,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([3, 6, 9])"
]
},
"metadata": {},
"execution_count": 26
}
]
},
{
"cell_type": "code",
"source": [
"import numpy as np"
],
"metadata": {
"id": "CZ3PX0qlTwHJ"
},
"execution_count": 27,
"outputs": []
},
{
"cell_type": "code",
"source": [
"array = np.arange(1.0, 8.0)"
],
"metadata": {
"id": "UOBeTumiT3Lf"
},
"execution_count": 28,
"outputs": []
},
{
"cell_type": "code",
"source": [
"array"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "RzcO32E9UCQl",
"outputId": "430def24-c42c-461f-e5e7-398544c695d3"
},
"execution_count": 29,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([1., 2., 3., 4., 5., 6., 7.])"
]
},
"metadata": {},
"execution_count": 29
}
]
},
{
"cell_type": "code",
"source": [
"tensor = torch.from_numpy(array)\n",
"tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JJIL0q1DUC6O",
"outputId": "8a3b1d7c-4482-4d32-f34f-9212d9d3a177"
},
"execution_count": 32,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([1., 2., 3., 4., 5., 6., 7.], dtype=torch.float64)"
]
},
"metadata": {},
"execution_count": 32
}
]
},
{
"cell_type": "code",
"source": [
"array[3]=11.0"
],
"metadata": {
"id": "j3Ce6q3DUIEK"
},
"execution_count": 33,
"outputs": []
},
{
"cell_type": "code",
"source": [
"array"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "dc_BCVdjUsCc",
"outputId": "65537325-8b11-4f36-fc73-e56f30d6a036"
},
"execution_count": 34,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([ 1., 2., 3., 11., 5., 6., 7.])"
]
},
"metadata": {},
"execution_count": 34
}
]
},
{
"cell_type": "code",
"source": [
"tensor"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "VG1e_eITUta2",
"outputId": "a26c5198-23b6-4a6d-d73a-ba20cd9782b8"
},
"execution_count": 35,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([ 1., 2., 3., 11., 5., 6., 7.], dtype=torch.float64)"
]
},
"metadata": {},
"execution_count": 35
}
]
},
{
"cell_type": "code",
"source": [
"tensor = torch.ones(7)\n",
"tensor, tensor.dtype\n",
"numpy_tensor = tensor.numpy()\n",
"numpy_tensor, numpy_tensor.dtype"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Swt8JF8vUuev",
"outputId": "c9e5bf6a-6d2c-41d6-8327-366867ffdd2d"
},
"execution_count": 37,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"(array([1., 1., 1., 1., 1., 1., 1.], dtype=float32), dtype('float32'))"
]
},
"metadata": {},
"execution_count": 37
}
]
},
{
"cell_type": "code",
"source": [
"import torch\n",
"random_tensor_A = torch.rand(3,4)\n",
"random_tensor_B = torch.rand(3,4)\n",
"print(random_tensor_A)\n",
"print(random_tensor_B)\n",
"print(random_tensor_A == random_tensor_B)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "uGcagTteVFTD",
"outputId": "49405790-08e7-4210-b7f1-f00b904c7eb9"
},
"execution_count": 38,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"tensor([[0.9870, 0.6636, 0.6873, 0.8863],\n",
" [0.8386, 0.4169, 0.3587, 0.0265],\n",
" [0.2981, 0.6025, 0.5652, 0.5840]])\n",
"tensor([[0.9821, 0.3481, 0.0913, 0.4940],\n",
" [0.7495, 0.4387, 0.9582, 0.8659],\n",
" [0.5064, 0.6919, 0.0809, 0.9771]])\n",
"tensor([[False, False, False, False],\n",
" [False, False, False, False],\n",
" [False, False, False, False]])\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"RANDOM_SEED = 42\n",
"torch.manual_seed(RANDOM_SEED)\n",
"random_tensor_C = torch.rand(3,4)\n",
"torch.manual_seed(RANDOM_SEED)\n",
"random_tensor_D = torch.rand(3,4)\n",
"print(random_tensor_C)\n",
"print(random_tensor_D)\n",
"print(random_tensor_C == random_tensor_D)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "HznyXyEaWjLM",
"outputId": "25956434-01b6-4059-9054-c9978884ddc1"
},
"execution_count": 46,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"tensor([[0.8823, 0.9150, 0.3829, 0.9593],\n",
" [0.3904, 0.6009, 0.2566, 0.7936],\n",
" [0.9408, 0.1332, 0.9346, 0.5936]])\n",
"tensor([[0.8823, 0.9150, 0.3829, 0.9593],\n",
" [0.3904, 0.6009, 0.2566, 0.7936],\n",
" [0.9408, 0.1332, 0.9346, 0.5936]])\n",
"tensor([[True, True, True, True],\n",
" [True, True, True, True],\n",
" [True, True, True, True]])\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!nvidia-smi"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vltPTh0YXJSt",
"outputId": "807af6dc-a9ca-4301-ec32-b688dbde8be8"
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Thu May 23 02:57:59 2024 \n",
"+---------------------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 |\n",
"|-----------------------------------------+----------------------+----------------------+\n",
"| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
"| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |\n",
"| | | MIG M. |\n",
"|=========================================+======================+======================|\n",
"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
"| N/A 60C P8 11W / 70W | 0MiB / 15360MiB | 0% Default |\n",
"| | | N/A |\n",
"+-----------------------------------------+----------------------+----------------------+\n",
" \n",
"+---------------------------------------------------------------------------------------+\n",
"| Processes: |\n",
"| GPU GI CI PID Type Process name GPU Memory |\n",
"| ID ID Usage |\n",
"|=======================================================================================|\n",
"| No running processes found |\n",
"+---------------------------------------------------------------------------------------+\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import torch\n",
"torch.cuda.is_available()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "L6mMyPDyYh1j",
"outputId": "279c5dd8-c2a8-4fbd-f321-2f5d7c6e90e6"
},
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"True"
]
},
"metadata": {},
"execution_count": 3
}
]
},
{
"cell_type": "code",
"source": [
"device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
"device"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "oOdiYa7ZYytx",
"outputId": "d73b04fc-8963-4826-9722-08d118d5ab91"
},
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'cuda'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"source": [
"torch.cuda.device_count()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vOdsazLqZFM5",
"outputId": "8189cd6a-9017-4663-a652-3e15c517d9c3"
},
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"1"
]
},
"metadata": {},
"execution_count": 6
}
]
},
{
"cell_type": "code",
"source": [
"tensor = torch.tensor([1,2,3], device = \"cpu\")\n",
"print(tensor, tensor.device)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "cdik9Vw3ZMv0",
"outputId": "044a68fd-83a1-409d-8e3b-655142ca0270"
},
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"tensor([1, 2, 3]) cpu\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"tensor_on_gpu = tensor.to(device)\n",
"tensor_on_gpu"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Zmp835rrZp-z",
"outputId": "37fa3413-18a3-47bf-ae51-5b36ff85a3ef"
},
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"tensor([1, 2, 3], device='cuda:0')"
]
},
"metadata": {},
"execution_count": 8
}
]
},
{
"cell_type": "code",
"source": [
"tensor_on_gpu.numpy()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 159
},
"id": "jhriaa8uZ1yM",
"outputId": "bc5a3226-1a12-4fea-8769-a44f21cdc323"
},
"execution_count": 10,
"outputs": [
{
"output_type": "error",
"ename": "TypeError",
"evalue": "can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-10-e0c96c7436fd>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtensor_on_gpu\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnumpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first."
]
}
]
},
{
"cell_type": "code",
"source": [
"tensor_on_cpu = tensor_on_gpu.cpu().numpy()"
],
"metadata": {
"id": "LHGXK3GgaOzL"
},
"execution_count": 12,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "j-El4LlCajfq"
},
"execution_count": null,
"outputs": []
}
]
}