publish [GPU]: lightning_examples/mnist-hello-world

Author: Azure Pipelines

.notebooks/lightning_examples/mnist-hello-world.ipynb

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 173331
+oid sha256:cea85768400060f7e0b7f9729d6bd781702d0e46c012219351a94142927d806e
+size 173726

.notebooks/lightning_examples/mnist-hello-world.yaml

@@ -1,33 +1,18 @@
 title: Introduction to PyTorch Lightning
 author: Lightning.ai
 created: 2020-12-21
-updated: 2023-05-15
 license: CC BY-SA
-build: 0
 tags:
 - Image
 description: In this notebook, we'll go over the basics of lightning by preparing
   models to train on the [MNIST Handwritten Digits dataset](https://en.wikipedia.org/wiki/MNIST_database).
-requirements:
-- torchvision
-- torchmetrics >=0.11.0
-- pandas
-- seaborn
-- lightning>=2.0.0
 accelerator:
 - CPU
 - GPU
 environment:
-- pytorch-lightning==1.5.3
-- torchvision==0.15.2
-- torch==2.0.1
-- numpy==1.26.4
-- torchmetrics==1.2.1
-- setuptools==69.0.3
-- urllib3==2.2.2
-- pandas==2.2.2
-- ipython==8.16.1
-- matplotlib==3.8.4
-- lightning==2.3.3
 - seaborn==0.13.2
-published: '2024-07-20T00:10:28.589696'
+- torchmetrics==1.4.0.post0
+- lightning==2.3.3
+- pandas==2.2.2
+- torchvision==0.18.1+cu118
+published: '2024-07-23T01:46:25.359284'