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使用 Colaboratory 创建
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@Voyageran
Voyageran committed Jul 30, 2023
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyNemOhSsYE1xA2E8N1PpX6x",
"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/Voyageran/StartNN/blob/main/DnCNN.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "V7Bg-FF7VaSG",
"outputId": "62c2aa8c-1b08-405d-d4ac-710a2641e567"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mounted at /content/gdrive\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l' -> '/content/d2l'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/paddle.py' -> '/content/d2l/paddle.py'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/mxnet.py' -> '/content/d2l/mxnet.py'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/tensorflow.py' -> '/content/d2l/tensorflow.py'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/torch.py' -> '/content/d2l/torch.py'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/__init__.py' -> '/content/d2l/__init__.py'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/__pycache__' -> '/content/d2l/__pycache__'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/__pycache__/mxnet.cpython-310.pyc' -> '/content/d2l/__pycache__/mxnet.cpython-310.pyc'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/__pycache__/__init__.cpython-310.pyc' -> '/content/d2l/__pycache__/__init__.cpython-310.pyc'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/__pycache__/torch.cpython-310.pyc' -> '/content/d2l/__pycache__/torch.cpython-310.pyc'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/__pycache__/tensorflow.cpython-310.pyc' -> '/content/d2l/__pycache__/tensorflow.cpython-310.pyc'\n",
"'/content/gdrive/MyDrive/Colab Notebooks/d2l/__pycache__/paddle.cpython-310.pyc' -> '/content/d2l/__pycache__/paddle.cpython-310.pyc'\n"
]
}
],
"source": [
"import sys\n",
"from google.colab import drive\n",
"drive.mount('/content/gdrive')\n",
"sys.path.insert(0,\"/content/content/notebooks/colabInstallPackage\")\n",
"\n",
"!cp -av '/content/gdrive/MyDrive/Colab Notebooks/d2l' '/content/'"
]
},
{
"cell_type": "markdown",
"source": [
"**AlexNet最大的问题**：不规则"
],
"metadata": {
"id": "PiX5KA-WVdhS"
}
},
{
"cell_type": "code",
"source": [
"import torch\n",
"import tensorflow as tf\n",
"\n",
"torch.__version__, tf.__version__"
],
"metadata": {
"id": "7U0nmQO6VdMU",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "0b404a47-7e21-4348-8253-1ab845f5d00a"
},
"execution_count": 19,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"('2.0.1+cu118', '2.12.0')"
]
},
"metadata": {},
"execution_count": 19
}
]
},
{
"cell_type": "code",
"source": [
"!git clone https://github.com/yjn870/DnCNN-pytorch.git"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Q2eepCLaSTdH",
"outputId": "390ee656-8c6c-4ad0-fdfa-e5c43f58ff9c"
},
"execution_count": 20,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'DnCNN-pytorch'...\n",
"remote: Enumerating objects: 23, done.\u001b[K\n",
"remote: Total 23 (delta 0), reused 0 (delta 0), pack-reused 23\u001b[K\n",
"Receiving objects: 100% (23/23), 4.18 MiB | 34.25 MiB/s, done.\n",
"Resolving deltas: 100% (4/4), done.\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"!pip install tensorboardX"
],
"metadata": {
"id": "dgbNVb0JSiss"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jdjKslmiTf7Z",
"outputId": "8bbba824-245f-4aaf-d6f0-e7c0ec3ac7fc"
},
"execution_count": 25,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting tensorboardX\n",
" Downloading tensorboardX-2.6.1-py2.py3-none-any.whl (101 kB)\n",
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/101.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━\u001b[0m \u001b[32m92.2/101.6 kB\u001b[0m \u001b[31m3.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m101.6/101.6 kB\u001b[0m \u001b[31m2.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from tensorboardX) (1.22.4)\n",
"Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from tensorboardX) (23.1)\n",
"Collecting protobuf>=4.22.3 (from tensorboardX)\n",
" Downloading protobuf-4.23.4-cp37-abi3-manylinux2014_x86_64.whl (304 kB)\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m304.5/304.5 kB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hInstalling collected packages: protobuf, tensorboardX\n",
" Attempting uninstall: protobuf\n",
" Found existing installation: protobuf 3.20.3\n",
" Uninstalling protobuf-3.20.3:\n",
" Successfully uninstalled protobuf-3.20.3\n",
"Successfully installed protobuf-4.23.4 tensorboardX-2.6.1\n"
]
}
]
}
]
}

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