[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

.github/workflows/README.md

@@ -6,16 +6,16 @@ Brief description of all our automation tools used for boosting development perf
 
 ## Unit and Integration Testing
 
-| workflow file                          | action                                                                                    | accelerator |
-| -------------------------------------- | ----------------------------------------------------------------------------------------- | ----------- |
-| .github/workflows/ci-tests-fabric.yml  | Run all tests except for accelerator-specific and standalone.                             | CPU         |
-| .github/workflows/ci-tests-pytorch.yml | Run all tests except for accelerator-specific and standalone.                             | CPU         |
-| .github/workflows/ci-tests-data.yml    | Run unit and integration tests with data pipelining.                                      | CPU         |
-| .azure-pipelines/gpu-tests-fabric.yml  | Run only GPU-specific tests, standalone\*, and examples.                                  | GPU         |
-| .azure-pipelines/gpu-tests-pytorch.yml | Run only GPU-specific tests, standalone\*, and examples.                                  | GPU         |
-| .azure-pipelines/gpu-benchmarks.yml    | Run speed/memory benchmarks for parity with vanila PyTorch.                               | GPU         |
-| .github/workflows/ci-tests-pytorch.yml | Run all tests except for accelerator-specific, standalone and slow tests.                 | CPU         |
-| .github/workflows/tpu-tests.yml        | Run only TPU-specific tests. Requires that the PR title contains '\[TPU\]'                | TPU         |
+| workflow file                          | action                                                                     | accelerator |
+| -------------------------------------- | -------------------------------------------------------------------------- | ----------- |
+| .github/workflows/ci-tests-fabric.yml  | Run all tests except for accelerator-specific and standalone.              | CPU         |
+| .github/workflows/ci-tests-pytorch.yml | Run all tests except for accelerator-specific and standalone.              | CPU         |
+| .github/workflows/ci-tests-data.yml    | Run unit and integration tests with data pipelining.                       | CPU         |
+| .azure-pipelines/gpu-tests-fabric.yml  | Run only GPU-specific tests, standalone\*, and examples.                   | GPU         |
+| .azure-pipelines/gpu-tests-pytorch.yml | Run only GPU-specific tests, standalone\*, and examples.                   | GPU         |
+| .azure-pipelines/gpu-benchmarks.yml    | Run speed/memory benchmarks for parity with vanila PyTorch.                | GPU         |
+| .github/workflows/ci-tests-pytorch.yml | Run all tests except for accelerator-specific, standalone and slow tests.  | CPU         |
+| .github/workflows/tpu-tests.yml        | Run only TPU-specific tests. Requires that the PR title contains '\[TPU\]' | TPU         |
 
 \* Each standalone test needs to be run in separate processes to avoid unwanted interactions between test cases.
 

.github/workflows/ci-pkg-extend.yml

@@ -26,7 +26,6 @@ defaults:
     shell: bash
 
 jobs:
-
   import-pkg:
     runs-on: ${{ matrix.os }}
     strategy:
@@ -50,4 +49,3 @@ jobs:
       - name: Try importing
         run: from lightning.${{ matrix.pkg-name }} import *
         shell: python
-

examples/fabric/tensor_parallel/train.py

@@ -1,14 +1,13 @@
 import lightning as L
 import torch
 import torch.nn.functional as F
+from data import RandomTokenDataset
 from lightning.fabric.strategies import ModelParallelStrategy
 from model import ModelArgs, Transformer
 from parallelism import parallelize
 from torch.distributed.tensor.parallel import loss_parallel
 from torch.utils.data import DataLoader
 
-from data import RandomTokenDataset
-
 
 def train():
     strategy = ModelParallelStrategy(

examples/pytorch/tensor_parallel/train.py

@@ -1,14 +1,13 @@
 import lightning as L
 import torch
 import torch.nn.functional as F
+from data import RandomTokenDataset
 from lightning.pytorch.strategies import ModelParallelStrategy
 from model import ModelArgs, Transformer
 from parallelism import parallelize
 from torch.distributed.tensor.parallel import loss_parallel
 from torch.utils.data import DataLoader
 
-from data import RandomTokenDataset
-
 
 class Llama3(L.LightningModule):
     def __init__(self):

src/lightning/app/__init__.py

@@ -13,12 +13,12 @@
     # Enable resolution at least for lower data namespace
     sys.modules["lightning.app"] = lightning_app
 
-    from lightning_app.core.app import LightningApp  # noqa: E402
-    from lightning_app.core.flow import LightningFlow  # noqa: E402
-    from lightning_app.core.work import LightningWork  # noqa: E402
-    from lightning_app.plugin.plugin import LightningPlugin  # noqa: E402
-    from lightning_app.utilities.packaging.build_config import BuildConfig  # noqa: E402
-    from lightning_app.utilities.packaging.cloud_compute import CloudCompute  # noqa: E402
+    from lightning_app.core.app import LightningApp
+    from lightning_app.core.flow import LightningFlow
+    from lightning_app.core.work import LightningWork
+    from lightning_app.plugin.plugin import LightningPlugin
+    from lightning_app.utilities.packaging.build_config import BuildConfig
+    from lightning_app.utilities.packaging.cloud_compute import CloudCompute
 
     if module_available("lightning_app.components.demo"):
         from lightning.app.components import demo  # noqa: F401