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

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

.azure/README.md

@@ -5,10 +5,10 @@
 In general follow instructions in [Bare Metal Fresh OS Installation](https://docs.habana.ai/en/v1.15.0/Installation_Guide/Bare_Metal_Fresh_OS.html#) and in particular [Habana Driver Unattended Upgrade](https://docs.habana.ai/en/v1.15.0/Installation_Guide/Bare_Metal_Fresh_OS.html#habana-driver-unattended-upgrade).
 
 1. check what is the actual state and version of HW - `hl-smi`
-1. check the actual OS version - `lsb_release -a`
-1. update sources - `sudo apt update --fix-missing`
-1. run upgrade to the latest - `sudo apt upgrade`
-1. reboot the machine...
+2. check the actual OS version - `lsb_release -a`
+3. update sources - `sudo apt update --fix-missing`
+4. run upgrade to the latest - `sudo apt upgrade`
+5. reboot the machine...
 
 ### Troubleshooting
 
@@ -25,19 +25,19 @@ In some cases you may get stack with hanged libs linked to past kernel (for exam
    sudo mv /var/lib/dpkg/info_old /var/lib/dpkg/info
    sudo apt-get update && sudo apt-get -f install
    ```
-1. purge the hanging package
+2. purge the hanging package
    ```bash
    apt list --installed | grep habana
    sudo rm /var/lib/dpkg/info/habanalabs-dkms*
    sudo dpkg --configure -D 777 habanalabs-dkms
    sudo apt -f install
    sudo apt purge habanalabs-dkms
    ```
-1. if the package folder hangs, drop it:
+3. if the package folder hangs, drop it:
    ```bash
    sudo rm -rf  /var/lib/dkms/habanalabs-dkms
    ```
-1. install all, if some failed try rerun the script
+4. install all, if some failed try rerun the script
    ```bash
    wget -nv https://vault.habana.ai/artifactory/gaudi-installer/latest/habanalabs-installer.sh
    chmod +x habanalabs-installer.sh

.github/ISSUE_TEMPLATE/bug_report.md

@@ -15,9 +15,9 @@ assignees: ''
 Steps to reproduce the behavior:
 
 1. Go to '...'
-1. Run '....'
-1. Scroll down to '....'
-1. See error
+2. Run '....'
+3. Scroll down to '....'
+4. See error
 
 <!-- If you have a code sample, error messages, stack traces, please provide it here as well -->
 

.github/ISSUE_TEMPLATE/documentation.md

@@ -11,7 +11,7 @@ assignees: ''
 For typos and doc fixes, please go ahead and:
 
 1. Create an issue.
-1. Fix the typo.
-1. Submit a PR.
+2. Fix the typo.
+3. Submit a PR.
 
 Thanks!

examples/fabric/image_classifier/train_fabric.py

@@ -108,13 +108,7 @@ def run(hparams):
             optimizer.step()
             if (batch_idx == 0) or ((batch_idx + 1) % hparams.log_interval == 0):
                 print(
-                    "Train Epoch: {} [{}/{} ({:.0f}%)]\tLoss: {:.6f}".format(
-                        epoch,
-                        batch_idx * len(data),
-                        len(train_loader.dataset),
-                        100.0 * batch_idx / len(train_loader),
-                        loss.item(),
-                    )
+                    f"Train Epoch: {epoch} [{batch_idx * len(data)}/{len(train_loader.dataset)} ({100.0 * batch_idx / len(train_loader):.0f}%)]\tLoss: {loss.item():.6f}"
                 )
                 if hparams.dry_run:
                     break

src/lightning_habana/__init__.py

@@ -16,7 +16,7 @@
 
 from lightning_utilities import compare_version
 
-from lightning_habana.__about__ import *  # noqa: F401, F403
+from lightning_habana.__about__ import *  # noqa: F403
 from lightning_habana.pytorch.accelerator import HPUAccelerator
 from lightning_habana.pytorch.datamodule.datamodule import HPUDataModule
 from lightning_habana.pytorch.plugins.deepspeed_precision import HPUDeepSpeedPrecisionPlugin

src/lightning_habana/pytorch/plugins/deepspeed_precision.py

@@ -103,7 +103,7 @@ def backward(
                 "You have overridden the `LightningModule.backward` hook but it will be ignored since DeepSpeed handles"
                 " the backward logic internally."
             )
-        deepspeed_engine: "deepspeed.DeepSpeedEngine" = model.trainer.model
+        deepspeed_engine: deepspeed.DeepSpeedEngine = model.trainer.model
         deepspeed_engine.backward(tensor, *args, **kwargs)
 
     def optimizer_step(
@@ -124,7 +124,7 @@ def optimizer_step(
                 "Skipping backward by returning `None` from your `training_step` is not supported by `DeepSpeed`"
             )
         # DeepSpeed handles the optimizer step internally
-        deepspeed_engine: "deepspeed.DeepSpeedEngine" = model.trainer.model
+        deepspeed_engine: deepspeed.DeepSpeedEngine = model.trainer.model
         return deepspeed_engine.step(**kwargs)
 
     def clip_gradients(

src/lightning_habana/pytorch/plugins/precision.py

@@ -92,7 +92,7 @@ def __init__(
         self.device = device
         self.precision = precision
 
-        self.recipe: Union[Mapping[str, Any], "DelayedScaling"] = None
+        self.recipe: Union[Mapping[str, Any], DelayedScaling] = None
         self.replace_layers = False
         self.fp8_training_available = False
         self.fp8_inference_available = False