Fix bug in ipynb-render.sh (#79)

ethanwharris · web-flow · commit 25341f21a5dd · 2021-08-31T12:07:39.000+02:00
* Update metas
diff --git a/.actions/ipynb-render.sh b/.actions/ipynb-render.sh
@@ -3,11 +3,11 @@
 set -e
 printf "Rendering: $1\n\n"
 
-python -c "import glob ; assert(len(glob.glob('$1/*.ipynb')) == 1)"
+python -c "import os, glob ; assert(len(glob.glob(os.path.join('$1', '*.ipynb'))) == 1)"
 ipynb_file=( $(ls "$1"/*.ipynb) )
 printf $ipynb_file
 
-python -c "import glob ; assert(len(glob.glob('$1/.meta.{yaml,yml}')) == 1)"
+python -c "import os ; assert any(os.path.isfile(os.path.join('$1', f'.meta{ext}')) for ext in ['.yml', '.yaml'])"
 meta_file=( $(ls "$1"/.meta.*) )
 printf $meta_file
 
diff --git a/course_UvA-DL/autoregressive-image-modeling/.meta.yml b/course_UvA-DL/autoregressive-image-modeling/.meta.yml
@@ -3,6 +3,7 @@ author: Phillip Lippe
 created: 2021-07-12
 updated: 2021-07-12
 license: CC BY-SA
+build: 0
 tags:
   - Image
 description: |
diff --git a/course_UvA-DL/deep-autoencoders/.meta.yml b/course_UvA-DL/deep-autoencoders/.meta.yml
@@ -3,6 +3,7 @@ author: Phillip Lippe
 created: 2021-07-12
 updated: 2021-07-12
 license: CC BY-SA
+build: 0
 tags:
   - Image
 description: |
diff --git a/course_UvA-DL/deep-energy-based-generative-models/.meta.yml b/course_UvA-DL/deep-energy-based-generative-models/.meta.yml
@@ -3,6 +3,7 @@ author: Phillip Lippe
 created: 2021-07-12
 updated: 2021-07-12
 license: CC BY-SA
+build: 0
 tags:
   - Image
 description: |
diff --git a/course_UvA-DL/graph-neural-networks/.meta.yml b/course_UvA-DL/graph-neural-networks/.meta.yml
@@ -3,6 +3,7 @@ author: Phillip Lippe
 created: 2021-06-07
 updated: 2021-06-16
 license: CC BY-SA
+build: 0
 tags:
   - Graph
 description: |
diff --git a/course_UvA-DL/normalizing-flows/.meta.yml b/course_UvA-DL/normalizing-flows/.meta.yml
@@ -3,6 +3,7 @@ author: Phillip Lippe
 created: 2021-06-07
 updated: 2021-06-16
 license: CC BY-SA
+build: 0
 tags:
   - Image
 description: |
diff --git a/course_UvA-DL/transformers-and-MH-attention/.meta.yml b/course_UvA-DL/transformers-and-MH-attention/.meta.yml
@@ -3,6 +3,7 @@ author: Phillip Lippe
 created: 2021-06-30
 updated: 2021-06-30
 license: CC BY-SA
+build: 0
 tags:
   - Text
 description: |
diff --git a/lightning_examples/augmentation_kornia/.meta.yml b/lightning_examples/augmentation_kornia/.meta.yml
@@ -3,7 +3,7 @@ author: PL/Kornia team
 created: 2021-06-11
 updated: 2021-06-16
 license: CC BY-SA
-build: 0
+build: 1
 tags:
   - Image
 description: |
diff --git a/lightning_examples/basic-gan/.meta.yaml b/lightning_examples/basic-gan/.meta.yaml
@@ -3,7 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-16
 license: CC BY-SA
-build: 0
+build: 1
 tags:
   - Image
 description: |
diff --git a/lightning_examples/cifar10-baseline/.meta.yml b/lightning_examples/cifar10-baseline/.meta.yml
@@ -3,7 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-16
 license: CC BY-SA
-build: 0
+build: 1
 tags:
   - Image
 description: >
diff --git a/lightning_examples/datamodules/.meta.yml b/lightning_examples/datamodules/.meta.yml
@@ -3,7 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-07
 license: CC BY-SA
-build: 0
+build: 1
 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
@@ -3,7 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-16
 license: CC BY-SA
-build: 0
+build: 1
 tags:
   - Image
 description: In this notebook, we'll go over the basics of lightning by preparing
diff --git a/lightning_examples/mnist-tpu-training/.meta.yml b/lightning_examples/mnist-tpu-training/.meta.yml
@@ -3,6 +3,7 @@ author: PL team
 created: 2020-12-21
 updated: 2021-06-25
 license: CC BY-SA
+build: 0
 tags:
   - Image
 description: In this notebook, we'll train a model on TPUs. Updating one Trainer flag is all you need for that.
diff --git a/lightning_examples/reinforce-learning-DQN/.meta.yml b/lightning_examples/reinforce-learning-DQN/.meta.yml
@@ -3,7 +3,7 @@ author: PL team
 created: 2021-01-31
 updated: 2021-06-17
 license: CC BY-SA
-build: 0
+build: 1
 tags:
   - RL
 description: |
diff --git a/lightning_examples/text-transformers/.meta.yml b/lightning_examples/text-transformers/.meta.yml
@@ -3,7 +3,7 @@ author: PL team
 created: 2021-01-31
 updated: 2021-06-21
 license: CC BY-SA
-build: 0
+build: 1
 tags:
   - Text
 description: |
diff --git a/lightning_examples/text-transformers/text-transformers.py b/lightning_examples/text-transformers/text-transformers.py
@@ -259,7 +259,7 @@ def configure_optimizers(self):
 # ## Training
 
 # %% [markdown]
-# #### CoLA
+# ### CoLA
 #
 # See an interactive view of the
 # CoLA dataset in [NLP Viewer](https://huggingface.co/nlp/viewer/?dataset=glue&config=cola)
@@ -276,11 +276,11 @@ def configure_optimizers(self):
     task_name=dm.task_name,
 )
 
-trainer = Trainer(max_epochs=3, gpus=AVAIL_GPUS)
+trainer = Trainer(max_epochs=1, gpus=AVAIL_GPUS)
 trainer.fit(model, dm)
 
 # %% [markdown]
-# #### MRPC
+# ### MRPC
 #
 # See an interactive view of the
 # MRPC dataset in [NLP Viewer](https://huggingface.co/nlp/viewer/?dataset=glue&config=mrpc)
@@ -304,7 +304,7 @@ def configure_optimizers(self):
 trainer.fit(model, dm)
 
 # %% [markdown]
-# #### MNLI
+# ### MNLI
 #
 #  - The MNLI dataset is huge, so we aren't going to bother trying to train on it here.
 #  - We will skip over training and go straight to validation.
diff --git a/sample-template/.meta.yml b/sample-template/.meta.yml
@@ -3,7 +3,7 @@ author: PL team
 created: 2021-06-15
 updated: 2021-06-17
 license: CC
-build: 3
+build: 4
 description: |
   This is a template to show how to contribute a tutorial.
 requirements:
