[pre-commit.ci] pre-commit autoupdate (#323)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/psf/black: 22.12.0 → 23.1.0](psf/black@22.12.0...23.1.0)

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

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

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.pre-commit-config.yaml

@@ -24,7 +24,7 @@ repos:
         additional_dependencies:
             - black==22.6.0 # Matches hook
 -   repo: https://github.com/psf/black
-    rev: 22.12.0
+    rev: 23.1.0
     hooks:
     -   id: black
         args: [--line-length, "100"]

solo/backbones/poolformer/poolformer.py

@@ -182,7 +182,6 @@ def __init__(
         use_layer_scale=True,
         layer_scale_init_value=1e-5,
     ):
-
         super().__init__()
 
         self.norm1 = norm_layer(dim)
@@ -299,7 +298,6 @@ def __init__(
         pretrained=None,
         **kwargs,
     ):
-
         super().__init__()
 
         if not fork_feat:

solo/data/dali_dataloader.py

@@ -718,7 +718,6 @@ def __init__(
         dali_device: str = "gpu",
         encode_indexes_into_labels: bool = False,
     ):
-
         """DataModule for pretrain data using Nvidia DALI.
 
         Args:

solo/utils/kmeans.py

@@ -98,7 +98,6 @@ def cluster_memory(
                     dist.broadcast(centroids, 0)
 
                 for n_iter in range(self.kmeans_iters + 1):
-
                     # E step
                     dot_products = torch.mm(local_memory_embeddings[j], centroids.t())
                     _, local_assignments = dot_products.max(dim=1)