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Update 05-checkpoint.ipynb
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‎.ipynb_checkpoints/05-checkpoint.ipynb

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"cell_type": "code",
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"execution_count": 1,
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"id": "1129b80d-f36f-46b9-9355-e9e2968c681f",
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"metadata": {},
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"('1.9.1', '0.10.1')"
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"('2.1.0.dev20230713', '0.16.0.dev20230713')"
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]
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},
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"execution_count": 1,
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c029fad0-6880-49d5-b677-8d7ddbd79504",
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"cell_type": "markdown",
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"id": "80b49efd-6111-4b27-92d9-4ba282874484",
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"metadata": {},
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"source": [
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"Now we've got the versions of torch and torchvision, we're after, let's import the code we've writte in previous section "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "c1d9b7cd-1612-41db-8745-0ddd226442d3",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"# Continue with regular imports\n",
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"import matplotlib.pyplot as plt\n",
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"import torch\n",
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"import torchvision\n",
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"\n",
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"from torch import nn\n",
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"from torchvision import transforms\n",
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"\n",
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"# Try to get torchinfo, install it if it doesn't work\n",
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"try:\n",
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" from torchinfo import summary\n",
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"except:\n",
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" print(\"[INFO] Couldn't find torchinfo... installing it.\")\n",
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" !pip install -q torchinfo\n",
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" from torchinfo import summary\n",
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"\n",
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"# Try to import the going_modular directory, download it from GitHub if it doesn't work\n",
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"try:\n",
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" from going_modular.going_modular import data_setup, engine\n",
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"except:\n",
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" # Get the going_modular scripts\n",
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" print(\"[INFO] Couldn't find going_modular scripts... downloading them from GitHub.\")\n",
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" !git clone https://github.com/mrdbourke/pytorch-deep-learning\n",
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" !mv pytorch-deep-learning/going_modular .\n",
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" !mv pytorch-deep-learning/data/pizza_steak_sushi_20_percent.zip ./data/05\n",
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" !unzip ./data/05/pizza_steak_sushi_20_percent.zip\n",
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" # !rm -rf pytorch-deep-learning\n",
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" from going_modular.going_modular import data_setup, engine"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "d91a1f33-88a5-41b1-81e2-ad03cde5b3a1",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"device = 'cuda' if torch.cuda.is_available() else 'cpu'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "e844a820-6e66-4589-9424-06c8c57bec42",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Fri Jul 14 15:57:29 2023 \n",
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"+-----------------------------------------------------------------------------+\n",
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"| NVIDIA-SMI 525.125.06 Driver Version: 525.125.06 CUDA Version: 12.0 |\n",
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"|-------------------------------+----------------------+----------------------+\n",
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"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
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"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
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"| | | MIG M. |\n",
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"|===============================+======================+======================|\n",
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"| 0 NVIDIA GeForce ... Off | 00000000:26:00.0 On | N/A |\n",
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"| 0% 47C P8 11W / 170W | 561MiB / 12288MiB | 20% Default |\n",
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"| | | N/A |\n",
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"+-------------------------------+----------------------+----------------------+\n",
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" \n",
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"+-----------------------------------------------------------------------------+\n",
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"| Processes: |\n",
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"| GPU GI CI PID Type Process name GPU Memory |\n",
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"| ID ID Usage |\n",
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"|=============================================================================|\n",
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"| 0 N/A N/A 962 G /usr/lib/xorg/Xorg 302MiB |\n",
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"| 0 N/A N/A 1240 G /usr/bin/gnome-shell 46MiB |\n",
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"| 0 N/A N/A 1613 G ...158999189576873813,262144 167MiB |\n",
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"| 0 N/A N/A 22205 G ...AAAAAAAAA= --shared-files 9MiB |\n",
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"| 0 N/A N/A 25300 G ...RendererForSitePerProcess 19MiB |\n",
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"| 0 N/A N/A 33805 G ...features=BackForwardCache 8MiB |\n",
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"+-----------------------------------------------------------------------------+\n"
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]
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}
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],
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"source": [
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"!nvidia-smi"
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]
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},
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{
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"cell_type": "markdown",
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"id": "7d096286-9403-4eba-93f8-8be7520ef5d0",
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"metadata": {
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"tags": []
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},
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"source": [
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"## Get data\n",
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"\n",
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"We need our pizza, steak, sushi data to build a transfer learning model"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "dd6e69cc-da20-4ecf-9c69-bd3ddeff770c",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"!conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch-nightly -c nvidia"
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"# !unzip ./data/05/pizza_steak_sushi_20_percent.zip"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "11d88c75-4a1f-42be-aef9-119fb66c32b0",
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"id": "a5cc7e00-627a-42ea-9d74-f59ddf3760b9",
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"metadata": {},
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"outputs": [],
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"source": []
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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"version": "3.11.3"
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}
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},
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"nbformat": 4,

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