From e65bd1d46291e53685c02e0f0609b323535b57d4 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 4 Jan 2023 23:33:51 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 docs/source/links.rst                         | 2 +-
 src/torchmetrics/functional/image/__init__.py | 4 ++--
 src/torchmetrics/functional/image/psnrb.py    | 1 -
 3 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/docs/source/links.rst b/docs/source/links.rst
index 726c14acc13..ab36beedbfd 100644
--- a/docs/source/links.rst
+++ b/docs/source/links.rst
@@ -116,4 +116,4 @@
 .. _Signal-to-noise ratio: https://arxiv.org/abs/1811.02508
 .. _Permutation invariant training: https://arxiv.org/abs/1607.00325
 .. _Multilabel coverage error: https://link.springer.com/chapter/10.1007/978-0-387-09823-4_34
-.. _Peak Signal to Noise Ratio With Blocked Effect: https://ieeexplore.ieee.org/abstract/document/5535179
\ No newline at end of file
+.. _Peak Signal to Noise Ratio With Blocked Effect: https://ieeexplore.ieee.org/abstract/document/5535179
diff --git a/src/torchmetrics/functional/image/__init__.py b/src/torchmetrics/functional/image/__init__.py
index 3b7bc8eaf0f..a6e19c6a686 100644
--- a/src/torchmetrics/functional/image/__init__.py
+++ b/src/torchmetrics/functional/image/__init__.py
@@ -14,7 +14,8 @@
 from torchmetrics.functional.image.d_lambda import spectral_distortion_index  # noqa: F401
 from torchmetrics.functional.image.ergas import error_relative_global_dimensionless_synthesis  # noqa: F401
 from torchmetrics.functional.image.gradients import image_gradients  # noqa: F401
-from torchmetrics.functional.image.psnr import peak_signal_noise_ratio  # noqa: F401
+from torchmetrics.functional.image.psnr import peak_signal_noise_ratio
+from torchmetrics.functional.image.psnrb import peak_signal_noise_ratio  # noqa: F401
 from torchmetrics.functional.image.sam import spectral_angle_mapper  # noqa: F401
 from torchmetrics.functional.image.ssim import (  # noqa: F401
     multiscale_structural_similarity_index_measure,
@@ -22,4 +23,3 @@
 )
 from torchmetrics.functional.image.tv import total_variation  # noqa: F401
 from torchmetrics.functional.image.uqi import universal_image_quality_index  # noqa: F401
-from torchmetrics.functional.image.psnrb import peak_signal_noise_ratio  # noqa: F401
\ No newline at end of file
diff --git a/src/torchmetrics/functional/image/psnrb.py b/src/torchmetrics/functional/image/psnrb.py
index e3e53291e3a..a921fb7a6ed 100644
--- a/src/torchmetrics/functional/image/psnrb.py
+++ b/src/torchmetrics/functional/image/psnrb.py
@@ -61,7 +61,6 @@ def _compute_bef(
     diff = torch.gather(0, v_bc.unsqueeze(0)) - torch.gather(0, v_b.unsqueeze(0))
     d_bc += torch.sum(torch.square(diff))
 
-
     # N code
     n_hb = height * (width / block_size) - 1
     n_hbc = (height * (width - 1)) - n_hb