diff --git a/examples/fabric/kfold_cv/train_fabric.py b/examples/fabric/kfold_cv/train_fabric.py index 05d9885190dbc..4d0bf5f6048da 100644 --- a/examples/fabric/kfold_cv/train_fabric.py +++ b/examples/fabric/kfold_cv/train_fabric.py @@ -102,7 +102,7 @@ def validate_dataloader(model, data_loader, fabric, hparams, fold, acc_metric): def run(hparams): - # Create the Lightning Fabric object. The parameters like accelerator, strategy, devices etc. will be proided + # Create the Lightning Fabric object. The parameters like accelerator, strategy, devices etc. will be provided # by the command line. See all options: `fabric run --help` fabric = Fabric() diff --git a/tests/tests_pytorch/core/test_datamodules.py b/tests/tests_pytorch/core/test_datamodules.py index fcdc660a0fffc..6d97edb241fe5 100644 --- a/tests/tests_pytorch/core/test_datamodules.py +++ b/tests/tests_pytorch/core/test_datamodules.py @@ -100,7 +100,7 @@ def prepare_data(self): dm.prepare_data.assert_not_called() # 2 dm - # prepar per node = True + # prepare per node = True # local rank = 0 (True) dm.prepare_data_per_node = True local_rank.return_value = 0 diff --git a/tests/tests_pytorch/loggers/test_tensorboard.py b/tests/tests_pytorch/loggers/test_tensorboard.py index 173805f1a6f3c..7e02a73c93082 100644 --- a/tests/tests_pytorch/loggers/test_tensorboard.py +++ b/tests/tests_pytorch/loggers/test_tensorboard.py @@ -240,7 +240,7 @@ def test_tensorboard_log_graph_warning_no_example_input_array(tmp_path): @mock.patch("lightning.pytorch.loggers.TensorBoardLogger.log_metrics") -def test_tensorboard_with_accummulated_gradients(mock_log_metrics, tmp_path): +def test_tensorboard_with_accumulated_gradients(mock_log_metrics, tmp_path): """Tests to ensure that tensorboard log properly when accumulated_gradients > 1.""" class TestModel(BoringModel):