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drop Le Cun MNIST mirror and resolve network issue #551

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drop Le Cun MNIST mirror and resolve network issue #551

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fd39d5d
removes Le Cun mirror of MNIST, resolves networking issues
charlesfrye Jul 25, 2024
6ef9a12
move button to top of notebook
charlesfrye Jul 25, 2024
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22 changes: 7 additions & 15 deletions colabs/intro/Intro_to_Weights_&_Biases.ipynb
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Original file line number Diff line number Diff line change
@@ -1,15 +1,5 @@
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "view-in-github"
},
"source": [
"<a href=\"https://colab.research.google.com/github/wandb/examples/blob/add-core-to-examples/colabs/intro/Intro_to_Weights_%26_Biases.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
Expand Down Expand Up @@ -104,7 +94,7 @@
"# Log in to your W&B account\n",
"import wandb\n",
"\n",
"# Use wandb-core, temporary for wandb's new backend \n",
"# Use wandb-core, temporary for wandb's new backend\n",
"wandb.require(\"core\")"
]
},
Expand Down Expand Up @@ -199,7 +189,7 @@
"[hyperparameters](https://docs.wandb.ai/ref/app/pages/run-page#overview-tab),\n",
"[terminal output](https://docs.wandb.ai/ref/app/pages/run-page#logs-tab) and\n",
"you'll see an [interactive table](https://docs.wandb.ai/guides/data-vis)\n",
"with model inputs and outputs. \n",
"with model inputs and outputs.\n",
"\n",
"This code will also save and upload Model checkpoints to W&B where you can then use them in the [W&B Registry](https://docs.wandb.ai/guides/registry)"
]
Expand Down Expand Up @@ -227,13 +217,16 @@
"import random\n",
"import torch, torchvision\n",
"import torch.nn as nn\n",
"from torchvision.datasets import MNIST\n",
"import torchvision.transforms as T\n",
"\n",
"MNIST.mirrors = [mirror for mirror in MNIST.mirrors if \"http://yann.lecun.com/\" not in mirror]\n",
"\n",
"device = \"cuda:0\" if torch.cuda.is_available() else \"cpu\"\n",
"\n",
"def get_dataloader(is_train, batch_size, slice=5):\n",
" \"Get a training dataloader\"\n",
" full_dataset = torchvision.datasets.MNIST(root=\".\", train=is_train, transform=T.ToTensor(), download=True)\n",
" full_dataset = MNIST(root=\".\", train=is_train, transform=T.ToTensor(), download=True)\n",
" sub_dataset = torch.utils.data.Subset(full_dataset, indices=range(0, len(full_dataset), slice))\n",
" loader = torch.utils.data.DataLoader(dataset=sub_dataset,\n",
" batch_size=batch_size,\n",
Expand Down Expand Up @@ -456,7 +449,6 @@
"metadata": {
"accelerator": "GPU",
"colab": {
"include_colab_link": true,
"provenance": [],
"toc_visible": true
},
Expand All @@ -467,4 +459,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
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