update the GPU env to PT 1.10 (#145)

* update to PT 1.10
* builds
* metrics
* pygame

Author: Borda

.actions/assistant.py

@@ -247,7 +247,7 @@ def _parse_requirements(folder: str) -> Tuple[str, str]:
             folder: path to the folder with python script, meta and artefacts
         """
         meta = AssistantCLI._load_meta(folder)
-        req = meta.get("requirements", [])
+        reqs = meta.get("requirements", [])
 
         meta_pip_args = {
             k.replace(AssistantCLI._META_PIP_KEY, ""): v
@@ -262,7 +262,7 @@ def _parse_requirements(folder: str) -> Tuple[str, str]:
                 arg = arg % _RUNTIME_VERSIONS
                 pip_args.append(f"--{pip_key} {arg}")
 
-        return " ".join(req), " ".join(pip_args)
+        return " ".join([f'"{req}"' for req in reqs]), " ".join(pip_args)
 
     @staticmethod
     def _bash_download_data(folder: str) -> List[str]:

.azure/ipynb-publish.yml

@@ -21,7 +21,7 @@ jobs:
     # this need to have installed docker in the base image...
     container:
       # base ML image: mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.2-cudnn8-ubuntu18.04
-      image: "pytorchlightning/pytorch_lightning:base-cuda-py3.9-torch1.8"
+      image: "pytorchlightning/pytorch_lightning:base-cuda-py3.9-torch1.10"
       # image: "pytorch/pytorch:1.7.1-cuda11.0-cudnn8-runtime"
       options: "-it --rm --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=all --shm-size=32g"
 

.azure/ipynb-tests.yml

@@ -17,7 +17,7 @@ jobs:
     # this need to have installed docker in the base image...
     container:
       # base ML image: mcr.microsoft.com/azureml/openmpi3.1.2-cuda10.2-cudnn8-ubuntu18.04
-      image: "pytorchlightning/pytorch_lightning:base-cuda-py3.9-torch1.8"
+      image: "pytorchlightning/pytorch_lightning:base-cuda-py3.9-torch1.10"
       # image: "pytorch/pytorch:1.7.1-cuda11.0-cudnn8-runtime"
       options: "-it --rm --runtime=nvidia -e NVIDIA_VISIBLE_DEVICES=all --shm-size=32g"
 

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: 3
+build: 4
 tags:
   - Image
 description: |

lightning_examples/barlow-twins/.meta.yml

@@ -3,6 +3,7 @@ author: Ananya Harsh Jha (ananya@pytorchlightning.ai)
 created: 2021-09-19
 updated: 2021-09-20
 license: CC BY-SA
+build: 1
 tags:
   - Image
   - Self-Supervised

lightning_examples/barlow-twins/barlow_twins.py

@@ -17,8 +17,8 @@
 import torchvision.transforms.functional as VisionF
 from pytorch_lightning import Callback, LightningModule, Trainer
 from pytorch_lightning.callbacks import ModelCheckpoint
-from pytorch_lightning.metrics.functional import accuracy
 from torch.utils.data import DataLoader
+from torchmetrics.functional import accuracy
 from torchvision.datasets import CIFAR10
 from torchvision.models.resnet import resnet18
 from torchvision.utils import make_grid

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: 4
+build: 5
 tags:
   - Image
 description: |

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: 2
+build: 3
 tags:
   - Image
 description: >

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: 2
+build: 3
 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`.

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: 2
+build: 3
 tags:
   - Image
 description: In this notebook, we'll go over the basics of lightning by preparing