fix require in setup

Lightning-AI · Jun 28, 2021 · 3483600 · 3483600
1 parent d613041
commit 3483600
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Showing 9 changed files with 9 additions and 2 deletions.
diff --git a/.actions/helpers.py b/.actions/helpers.py
@@ -165,7 +165,7 @@ def augment_script(fpath: str):
 
         header = TEMPLATE_HEADER % meta
         requires = set(default_requirements() + meta["requirements"])
-        setup = TEMPLATE_SETUP % dict(requirements=" ".join(requires))
+        setup = TEMPLATE_SETUP % dict(requirements=" ".join([f'"{req}"' for req in requires]))
         py_file = [header + setup] + py_file + [TEMPLATE_FOOTER]
 
         with open(fpath, "w") as fp:

diff --git a/lightning_examples/augmentation_kornia/.meta.yml b/lightning_examples/augmentation_kornia/.meta.yml
@@ -3,6 +3,7 @@ author: PL/Kornia team
 created: 2021-06-11
 updated: 2021-06-16
 license: CC BY-SA
+build: 0
 description: |
   In this tutorial we will show how to combine both Kornia.org and PyTorch Lightning
   to perform efficient data augmentation to train a simpple model using the GPU in batch

diff --git a/lightning_examples/basic-gan/.meta.yaml b/lightning_examples/basic-gan/.meta.yaml
@@ -3,6 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-16
 license: CC BY-SA
+build: 0
 description: |
   How to train a GAN!
 

diff --git a/lightning_examples/cifar10-baseline/.meta.yml b/lightning_examples/cifar10-baseline/.meta.yml
@@ -3,6 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-16
 license: CC BY-SA
+build: 0
 description: >
   Train a Resnet to 94% accuracy on Cifar10!
 requirements:

diff --git a/lightning_examples/datamodules/.meta.yml b/lightning_examples/datamodules/.meta.yml
@@ -3,6 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-07
 license: CC BY-SA
+build: 0
 description: This notebook will walk you through how to start using Datamodules. With
   the release of `pytorch-lightning` version 0.9.0, we have included a new class called
   `LightningDataModule` to help you decouple data related hooks from your `LightningModule`.

diff --git a/lightning_examples/mnist-hello-world/.meta.yml b/lightning_examples/mnist-hello-world/.meta.yml
@@ -3,6 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-16
 license: CC BY-SA
+build: 0
 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:

diff --git a/lightning_examples/reinforce-learning-DQN/.meta.yml b/lightning_examples/reinforce-learning-DQN/.meta.yml
@@ -3,6 +3,7 @@ author: PL team
 created: 2021-01-31
 updated: 2021-06-17
 license: CC BY-SA
+build: 0
 description: |
   Main takeaways:
 

diff --git a/lightning_examples/text-transformers/.meta.yml b/lightning_examples/text-transformers/.meta.yml
@@ -3,6 +3,7 @@ author: PL team
 created: 2021-01-31
 updated: 2021-06-21
 license: CC BY-SA
+build: 0
 description: |
   This notebook will use HuggingFace's `datasets` library to get data, which will be wrapped in a `LightningDataModule`.
   Then, we write a class to perform text classification on any dataset from the [GLUE Benchmark](https://gluebenchmark.com/).

diff --git a/template/.meta.yml b/template/.meta.yml
@@ -3,10 +3,10 @@ author: PL team
 created: 2021-06-15
 updated: 2021-06-17
 license: CC
+build: 0
 description: |
   This is a template to show how to contribute a tutorial.
 requirements:
-  - pytorch-lightning
   - matplotlib
 accelerator:
   - CPU