bump RC to stable lightning>=2.0.0 (#283)

Borda · web-flow · commit fd1566513543 · 2023-10-11T17:24:03.000+02:00
diff --git a/course_UvA-DL/01-introduction-to-pytorch/.meta.yml b/course_UvA-DL/01-introduction-to-pytorch/.meta.yml
@@ -9,7 +9,7 @@ description: |
   The full list of tutorials can be found at https://uvadlc-notebooks.rtfd.io.
 requirements:
   - matplotlib
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - CPU
   - GPU
diff --git a/course_UvA-DL/02-activation-functions/.meta.yml b/course_UvA-DL/02-activation-functions/.meta.yml
@@ -14,7 +14,7 @@ requirements:
   - torchvision
   - matplotlib
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - CPU
   - GPU
diff --git a/course_UvA-DL/03-initialization-and-optimization/.meta.yml b/course_UvA-DL/03-initialization-and-optimization/.meta.yml
@@ -18,7 +18,7 @@ requirements:
   - torchvision
   - matplotlib
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - CPU
   - GPU
diff --git a/course_UvA-DL/04-inception-resnet-densenet/.meta.yaml b/course_UvA-DL/04-inception-resnet-densenet/.meta.yaml
@@ -18,6 +18,7 @@ requirements:
   - matplotlib
   - seaborn
   - tabulate
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
+  - tensorboard
 accelerator:
   - GPU
diff --git a/course_UvA-DL/05-transformers-and-MH-attention/.meta.yml b/course_UvA-DL/05-transformers-and-MH-attention/.meta.yml
@@ -19,6 +19,6 @@ requirements:
   - torchvision
   - matplotlib
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - GPU
diff --git a/course_UvA-DL/06-graph-neural-networks/.meta.yml b/course_UvA-DL/06-graph-neural-networks/.meta.yml
@@ -23,7 +23,7 @@ requirements:
   - torch-cluster
   - torch-spline-conv
   - torch-geometric
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 pip__find-link:
   # - https://pytorch-geometric.com/whl/torch-1.8.0+cu101.html
   - https://pytorch-geometric.com/whl/torch-%(TORCH_MAJOR_DOT_MINOR)s.0+%(DEVICE)s.html
diff --git a/course_UvA-DL/07-deep-energy-based-generative-models/.meta.yml b/course_UvA-DL/07-deep-energy-based-generative-models/.meta.yml
@@ -22,7 +22,7 @@ requirements:
   - torchvision
   - matplotlib
   - tensorboard
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - CPU
   - GPU
diff --git a/course_UvA-DL/08-deep-autoencoders/.meta.yml b/course_UvA-DL/08-deep-autoencoders/.meta.yml
@@ -22,7 +22,8 @@ requirements:
   - torchvision
   - matplotlib
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
+  - tensorboard
 accelerator:
   - CPU
   - GPU
diff --git a/course_UvA-DL/09-normalizing-flows/.meta.yml b/course_UvA-DL/09-normalizing-flows/.meta.yml
@@ -25,7 +25,7 @@ requirements:
   - matplotlib
   - seaborn
   - tabulate
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - CPU
   - GPU
diff --git a/course_UvA-DL/10-autoregressive-image-modeling/.meta.yml b/course_UvA-DL/10-autoregressive-image-modeling/.meta.yml
@@ -18,6 +18,6 @@ requirements:
   - torchvision
   - matplotlib
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - GPU
diff --git a/course_UvA-DL/11-vision-transformer/.meta.yml b/course_UvA-DL/11-vision-transformer/.meta.yml
@@ -17,7 +17,8 @@ requirements:
   - torchvision
   - matplotlib
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
+  - tensorboard
 accelerator:
   - CPU
   - GPU
diff --git a/course_UvA-DL/12-meta-learning/.meta.yml b/course_UvA-DL/12-meta-learning/.meta.yml
@@ -23,7 +23,8 @@ requirements:
   - torchvision
   - matplotlib
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
+  - tensorboard
 accelerator:
   - CPU
   - GPU
diff --git a/course_UvA-DL/13-contrastive-learning/.meta.yml b/course_UvA-DL/13-contrastive-learning/.meta.yml
@@ -20,7 +20,8 @@ requirements:
   - torchvision
   - matplotlib
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
+  - tensorboard
 accelerator:
   - CPU
   - GPU
diff --git a/lightning_examples/augmentation_kornia/.meta.yml b/lightning_examples/augmentation_kornia/.meta.yml
@@ -18,7 +18,7 @@ requirements:
   - matplotlib
   - pandas
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - CPU
   - GPU
diff --git a/lightning_examples/barlow-twins/.meta.yml b/lightning_examples/barlow-twins/.meta.yml
@@ -17,7 +17,7 @@ description: |
 requirements:
   - torchvision
   - matplotlib
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - GPU
   - CPU
diff --git a/lightning_examples/basic-gan/.meta.yaml b/lightning_examples/basic-gan/.meta.yaml
@@ -1,5 +1,5 @@
 title: PyTorch Lightning Basic GAN Tutorial
-author: PL team
+author: Lightning.ai
 created: 2020-12-21
 updated: 2023-03-15
 license: CC BY-SA
@@ -14,7 +14,8 @@ description: |
   2. training_step does both the generator and discriminator training.
 requirements:
   - torchvision
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
+  - tensorboard
 accelerator:
   - CPU
   - GPU
diff --git a/lightning_examples/cifar10-baseline/.meta.yml b/lightning_examples/cifar10-baseline/.meta.yml
@@ -1,5 +1,5 @@
 title: PyTorch Lightning CIFAR10 ~94% Baseline Tutorial
-author: PL team
+author: Lightning.ai
 created: 2020-12-21
 updated: 2023-03-15
 license: CC BY-SA
@@ -12,6 +12,6 @@ requirements:
   - torchvision
   - pandas
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - GPU
diff --git a/lightning_examples/datamodules/.meta.yml b/lightning_examples/datamodules/.meta.yml
@@ -1,5 +1,5 @@
 title: PyTorch Lightning DataModules
-author: PL team
+author: Lightning.ai
 created: 2020-12-21
 updated: 2023-03-15
 license: CC BY-SA
diff --git a/lightning_examples/mnist-hello-world/.meta.yml b/lightning_examples/mnist-hello-world/.meta.yml
@@ -1,5 +1,5 @@
 title: Introduction to PyTorch Lightning
-author: PL team
+author: Lightning.ai
 created: 2020-12-21
 updated: 2023-05-15
 license: CC BY-SA
@@ -13,7 +13,7 @@ requirements:
   - torchmetrics >=0.11.0
   - pandas
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - CPU
   - GPU
diff --git a/lightning_examples/mnist-tpu-training/.meta.yml b/lightning_examples/mnist-tpu-training/.meta.yml
@@ -1,5 +1,5 @@
 title: TPU training with PyTorch Lightning
-author: PL team
+author: Lightning.ai
 created: 2020-12-21
 updated: 2023-05-15
 license: CC BY-SA
@@ -11,6 +11,6 @@ description: In this notebook, we'll train a model on TPUs. Updating one Trainer
   [here](https://lightning.ai/docs/pytorch/stable/accelerators/tpu.html).
 requirements:
   - torchvision
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - TPU
diff --git a/lightning_examples/reinforce-learning-DQN/.meta.yml b/lightning_examples/reinforce-learning-DQN/.meta.yml
@@ -1,5 +1,5 @@
 title: How to train a Deep Q Network
-author: PL team
+author: Lightning.ai
 created: 2021-01-31
 updated: 2021-12-03
 license: CC BY-SA
@@ -17,7 +17,7 @@ requirements:
   - pygame
   - pandas
   - seaborn
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - CPU
   - GPU
diff --git a/lightning_examples/text-transformers/.meta.yml b/lightning_examples/text-transformers/.meta.yml
@@ -1,5 +1,5 @@
 title: Finetune Transformers Models with PyTorch Lightning
-author: PL team
+author: Lightning.ai
 created: 2021-01-31
 updated: 2023-03-17
 license: CC BY-SA
@@ -16,6 +16,6 @@ requirements:
   - scipy
   - scikit-learn
   - torchtext>=0.9
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - GPU
diff --git a/lightning_examples/warp-drive/.meta.yml b/lightning_examples/warp-drive/.meta.yml
@@ -26,6 +26,6 @@ requirements:
   - torch==1.10.*
   - torchvision==0.11.*
   - torchtext==0.11.*
-  - lightning>=2.0.0rc0
+  - lightning>=2.0.0
 accelerator:
   - GPU
