From 6652c5523421af9c534c3321d220e02c1941c95c Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Tue, 13 Dec 2022 14:50:25 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/torchmetrics/__init__.py                  | 26 ++++++------
 src/torchmetrics/audio/__init__.py            | 10 ++---
 src/torchmetrics/detection/__init__.py        |  2 +-
 src/torchmetrics/detection/mean_ap.py         |  2 +-
 src/torchmetrics/functional/__init__.py       |  4 +-
 src/torchmetrics/functional/audio/__init__.py | 10 ++---
 .../functional/classification/__init__.py     | 40 +++++++++----------
 src/torchmetrics/functional/image/__init__.py | 16 ++++----
 .../functional/multimodal/__init__.py         |  2 +-
 .../functional/nominal/__init__.py            |  8 ++--
 .../functional/pairwise/__init__.py           |  8 ++--
 .../functional/regression/__init__.py         | 30 +++++++-------
 .../functional/retrieval/__init__.py          | 18 ++++-----
 src/torchmetrics/functional/text/__init__.py  | 30 +++++++-------
 src/torchmetrics/image/__init__.py            | 22 +++++-----
 src/torchmetrics/multimodal/__init__.py       |  2 +-
 src/torchmetrics/nominal/__init__.py          |  8 ++--
 src/torchmetrics/regression/__init__.py       | 32 +++++++--------
 src/torchmetrics/retrieval/__init__.py        | 20 +++++-----
 src/torchmetrics/text/__init__.py             | 30 +++++++-------
 src/torchmetrics/utilities/__init__.py        |  8 ++--
 src/torchmetrics/utilities/imports.py         |  2 +-
 src/torchmetrics/wrappers/__init__.py         | 10 ++---
 tests/unittests/__init__.py                   |  2 +-
 24 files changed, 171 insertions(+), 171 deletions(-)

diff --git a/src/torchmetrics/__init__.py b/src/torchmetrics/__init__.py
index 235a7078f39..96426e39cd4 100644
--- a/src/torchmetrics/__init__.py
+++ b/src/torchmetrics/__init__.py
@@ -2,7 +2,7 @@
 import logging as __logging
 import os
 
-from torchmetrics.__about__ import *  # noqa: F401, F403
+from torchmetrics.__about__ import *
 
 _logger = __logging.getLogger("torchmetrics")
 _logger.addHandler(__logging.StreamHandler())
@@ -11,16 +11,16 @@
 _PACKAGE_ROOT = os.path.dirname(__file__)
 _PROJECT_ROOT = os.path.dirname(_PACKAGE_ROOT)
 
-from torchmetrics import functional  # noqa: E402
-from torchmetrics.aggregation import CatMetric, MaxMetric, MeanMetric, MinMetric, SumMetric  # noqa: E402
-from torchmetrics.audio import (  # noqa: E402
+from torchmetrics import functional
+from torchmetrics.aggregation import CatMetric, MaxMetric, MeanMetric, MinMetric, SumMetric
+from torchmetrics.audio import (
     PermutationInvariantTraining,
     ScaleInvariantSignalDistortionRatio,
     ScaleInvariantSignalNoiseRatio,
     SignalDistortionRatio,
     SignalNoiseRatio,
 )
-from torchmetrics.classification import (  # noqa: E402
+from torchmetrics.classification import (
     AUROC,
     ROC,
     Accuracy,
@@ -42,8 +42,8 @@
     Specificity,
     StatScores,
 )
-from torchmetrics.collections import MetricCollection  # noqa: E402
-from torchmetrics.image import (  # noqa: E402
+from torchmetrics.collections import MetricCollection
+from torchmetrics.image import (
     ErrorRelativeGlobalDimensionlessSynthesis,
     MultiScaleStructuralSimilarityIndexMeasure,
     PeakSignalNoiseRatio,
@@ -53,9 +53,9 @@
     TotalVariation,
     UniversalImageQualityIndex,
 )
-from torchmetrics.metric import Metric  # noqa: E402
-from torchmetrics.nominal import CramersV, PearsonsContingencyCoefficient, TheilsU, TschuprowsT  # noqa: E402
-from torchmetrics.regression import (  # noqa: E402
+from torchmetrics.metric import Metric
+from torchmetrics.nominal import CramersV, PearsonsContingencyCoefficient, TheilsU, TschuprowsT
+from torchmetrics.regression import (
     ConcordanceCorrCoef,
     CosineSimilarity,
     ExplainedVariance,
@@ -73,7 +73,7 @@
     TweedieDevianceScore,
     WeightedMeanAbsolutePercentageError,
 )
-from torchmetrics.retrieval import (  # noqa: E402
+from torchmetrics.retrieval import (
     RetrievalFallOut,
     RetrievalHitRate,
     RetrievalMAP,
@@ -85,7 +85,7 @@
     RetrievalRecallAtFixedPrecision,
     RetrievalRPrecision,
 )
-from torchmetrics.text import (  # noqa: E402
+from torchmetrics.text import (
     BLEUScore,
     CharErrorRate,
     CHRFScore,
@@ -99,7 +99,7 @@
     WordInfoLost,
     WordInfoPreserved,
 )
-from torchmetrics.wrappers import (  # noqa: E402
+from torchmetrics.wrappers import (
     BootStrapper,
     ClasswiseWrapper,
     MetricTracker,
diff --git a/src/torchmetrics/audio/__init__.py b/src/torchmetrics/audio/__init__.py
index 152228ac36a..22bf1ca1496 100644
--- a/src/torchmetrics/audio/__init__.py
+++ b/src/torchmetrics/audio/__init__.py
@@ -11,13 +11,13 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.audio.pit import PermutationInvariantTraining  # noqa: F401
-from torchmetrics.audio.sdr import ScaleInvariantSignalDistortionRatio, SignalDistortionRatio  # noqa: F401
-from torchmetrics.audio.snr import ScaleInvariantSignalNoiseRatio, SignalNoiseRatio  # noqa: F401
+from torchmetrics.audio.pit import PermutationInvariantTraining
+from torchmetrics.audio.sdr import ScaleInvariantSignalDistortionRatio, SignalDistortionRatio
+from torchmetrics.audio.snr import ScaleInvariantSignalNoiseRatio, SignalNoiseRatio
 from torchmetrics.utilities.imports import _PESQ_AVAILABLE, _PYSTOI_AVAILABLE
 
 if _PESQ_AVAILABLE:
-    from torchmetrics.audio.pesq import PerceptualEvaluationSpeechQuality  # noqa: F401
+    from torchmetrics.audio.pesq import PerceptualEvaluationSpeechQuality
 
 if _PYSTOI_AVAILABLE:
-    from torchmetrics.audio.stoi import ShortTimeObjectiveIntelligibility  # noqa: F401
+    from torchmetrics.audio.stoi import ShortTimeObjectiveIntelligibility
diff --git a/src/torchmetrics/detection/__init__.py b/src/torchmetrics/detection/__init__.py
index e8a6d678856..00f86bd8ea8 100644
--- a/src/torchmetrics/detection/__init__.py
+++ b/src/torchmetrics/detection/__init__.py
@@ -14,4 +14,4 @@
 from torchmetrics.utilities.imports import _TORCHVISION_GREATER_EQUAL_0_8
 
 if _TORCHVISION_GREATER_EQUAL_0_8:
-    from torchmetrics.detection.mean_ap import MeanAveragePrecision  # noqa: F401
+    from torchmetrics.detection.mean_ap import MeanAveragePrecision
diff --git a/src/torchmetrics/detection/mean_ap.py b/src/torchmetrics/detection/mean_ap.py
index 0a0daf4aa89..c61a0fa4d30 100644
--- a/src/torchmetrics/detection/mean_ap.py
+++ b/src/torchmetrics/detection/mean_ap.py
@@ -861,7 +861,7 @@ def __calculate_recall_precision_scores(
         det_matches = torch.cat([e["dtMatches"][:, :max_det] for e in img_eval_cls_bbox], axis=1)[:, inds]
         det_ignore = torch.cat([e["dtIgnore"][:, :max_det] for e in img_eval_cls_bbox], axis=1)[:, inds]
         gt_ignore = torch.cat([e["gtIgnore"] for e in img_eval_cls_bbox])
-        npig = torch.count_nonzero(gt_ignore == False)  # noqa: E712
+        npig = torch.count_nonzero(gt_ignore == False)
         if npig == 0:
             return recall, precision, scores
         tps = torch.logical_and(det_matches, torch.logical_not(det_ignore))
diff --git a/src/torchmetrics/functional/__init__.py b/src/torchmetrics/functional/__init__.py
index c8fce9ee422..bb4bf15a9f5 100644
--- a/src/torchmetrics/functional/__init__.py
+++ b/src/torchmetrics/functional/__init__.py
@@ -95,8 +95,8 @@
 from torchmetrics.utilities.imports import _TRANSFORMERS_AVAILABLE
 
 if _TRANSFORMERS_AVAILABLE:
-    from torchmetrics.functional.text.bert import bert_score  # noqa: F401
-    from torchmetrics.functional.text.infolm import infolm  # noqa: F401
+    from torchmetrics.functional.text.bert import bert_score
+    from torchmetrics.functional.text.infolm import infolm
 
 __all__ = [
     "accuracy",
diff --git a/src/torchmetrics/functional/audio/__init__.py b/src/torchmetrics/functional/audio/__init__.py
index 67dc239989f..415f1e49f42 100644
--- a/src/torchmetrics/functional/audio/__init__.py
+++ b/src/torchmetrics/functional/audio/__init__.py
@@ -11,16 +11,16 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.functional.audio.pit import permutation_invariant_training, pit_permutate  # noqa: F401
-from torchmetrics.functional.audio.sdr import (  # noqa: F401
+from torchmetrics.functional.audio.pit import permutation_invariant_training, pit_permutate
+from torchmetrics.functional.audio.sdr import (
     scale_invariant_signal_distortion_ratio,
     signal_distortion_ratio,
 )
-from torchmetrics.functional.audio.snr import scale_invariant_signal_noise_ratio, signal_noise_ratio  # noqa: F401
+from torchmetrics.functional.audio.snr import scale_invariant_signal_noise_ratio, signal_noise_ratio
 from torchmetrics.utilities.imports import _PESQ_AVAILABLE, _PYSTOI_AVAILABLE
 
 if _PESQ_AVAILABLE:
-    from torchmetrics.functional.audio.pesq import perceptual_evaluation_speech_quality  # noqa: F401
+    from torchmetrics.functional.audio.pesq import perceptual_evaluation_speech_quality
 
 if _PYSTOI_AVAILABLE:
-    from torchmetrics.functional.audio.stoi import short_time_objective_intelligibility  # noqa: F401
+    from torchmetrics.functional.audio.stoi import short_time_objective_intelligibility
diff --git a/src/torchmetrics/functional/classification/__init__.py b/src/torchmetrics/functional/classification/__init__.py
index 6aa93dd9261..e2acad5877c 100644
--- a/src/torchmetrics/functional/classification/__init__.py
+++ b/src/torchmetrics/functional/classification/__init__.py
@@ -11,47 +11,47 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.functional.classification.accuracy import (  # noqa: F401
+from torchmetrics.functional.classification.accuracy import (
     accuracy,
     binary_accuracy,
     multiclass_accuracy,
     multilabel_accuracy,
 )
-from torchmetrics.functional.classification.auroc import (  # noqa: F401
+from torchmetrics.functional.classification.auroc import (
     auroc,
     binary_auroc,
     multiclass_auroc,
     multilabel_auroc,
 )
-from torchmetrics.functional.classification.average_precision import (  # noqa: F401
+from torchmetrics.functional.classification.average_precision import (
     average_precision,
     binary_average_precision,
     multiclass_average_precision,
     multilabel_average_precision,
 )
-from torchmetrics.functional.classification.calibration_error import (  # noqa: F401
+from torchmetrics.functional.classification.calibration_error import (
     binary_calibration_error,
     calibration_error,
     multiclass_calibration_error,
 )
-from torchmetrics.functional.classification.cohen_kappa import (  # noqa: F401
+from torchmetrics.functional.classification.cohen_kappa import (
     binary_cohen_kappa,
     cohen_kappa,
     multiclass_cohen_kappa,
 )
-from torchmetrics.functional.classification.confusion_matrix import (  # noqa: F401
+from torchmetrics.functional.classification.confusion_matrix import (
     binary_confusion_matrix,
     confusion_matrix,
     multiclass_confusion_matrix,
     multilabel_confusion_matrix,
 )
-from torchmetrics.functional.classification.dice import dice  # noqa: F401
-from torchmetrics.functional.classification.exact_match import (  # noqa: F401
+from torchmetrics.functional.classification.dice import dice
+from torchmetrics.functional.classification.exact_match import (
     exact_match,
     multiclass_exact_match,
     multilabel_exact_match,
 )
-from torchmetrics.functional.classification.f_beta import (  # noqa: F401
+from torchmetrics.functional.classification.f_beta import (
     binary_f1_score,
     binary_fbeta_score,
     f1_score,
@@ -61,30 +61,30 @@
     multilabel_f1_score,
     multilabel_fbeta_score,
 )
-from torchmetrics.functional.classification.hamming import (  # noqa: F401
+from torchmetrics.functional.classification.hamming import (
     binary_hamming_distance,
     hamming_distance,
     multiclass_hamming_distance,
     multilabel_hamming_distance,
 )
-from torchmetrics.functional.classification.hinge import (  # noqa: F401
+from torchmetrics.functional.classification.hinge import (
     binary_hinge_loss,
     hinge_loss,
     multiclass_hinge_loss,
 )
-from torchmetrics.functional.classification.jaccard import (  # noqa: F401
+from torchmetrics.functional.classification.jaccard import (
     binary_jaccard_index,
     jaccard_index,
     multiclass_jaccard_index,
     multilabel_jaccard_index,
 )
-from torchmetrics.functional.classification.matthews_corrcoef import (  # noqa: F401
+from torchmetrics.functional.classification.matthews_corrcoef import (
     binary_matthews_corrcoef,
     matthews_corrcoef,
     multiclass_matthews_corrcoef,
     multilabel_matthews_corrcoef,
 )
-from torchmetrics.functional.classification.precision_recall import (  # noqa: F401
+from torchmetrics.functional.classification.precision_recall import (
     binary_precision,
     binary_recall,
     multiclass_precision,
@@ -94,30 +94,30 @@
     precision,
     recall,
 )
-from torchmetrics.functional.classification.precision_recall_curve import (  # noqa: F401
+from torchmetrics.functional.classification.precision_recall_curve import (
     binary_precision_recall_curve,
     multiclass_precision_recall_curve,
     multilabel_precision_recall_curve,
     precision_recall_curve,
 )
-from torchmetrics.functional.classification.ranking import (  # noqa: F401
+from torchmetrics.functional.classification.ranking import (
     multilabel_coverage_error,
     multilabel_ranking_average_precision,
     multilabel_ranking_loss,
 )
-from torchmetrics.functional.classification.recall_at_fixed_precision import (  # noqa: F401
+from torchmetrics.functional.classification.recall_at_fixed_precision import (
     binary_recall_at_fixed_precision,
     multiclass_recall_at_fixed_precision,
     multilabel_recall_at_fixed_precision,
 )
-from torchmetrics.functional.classification.roc import binary_roc, multiclass_roc, multilabel_roc, roc  # noqa: F401
-from torchmetrics.functional.classification.specificity import (  # noqa: F401
+from torchmetrics.functional.classification.roc import binary_roc, multiclass_roc, multilabel_roc, roc
+from torchmetrics.functional.classification.specificity import (
     binary_specificity,
     multiclass_specificity,
     multilabel_specificity,
     specificity,
 )
-from torchmetrics.functional.classification.stat_scores import (  # noqa: F401
+from torchmetrics.functional.classification.stat_scores import (
     binary_stat_scores,
     multiclass_stat_scores,
     multilabel_stat_scores,
diff --git a/src/torchmetrics/functional/image/__init__.py b/src/torchmetrics/functional/image/__init__.py
index c3c53501018..e4fae6c4dd9 100644
--- a/src/torchmetrics/functional/image/__init__.py
+++ b/src/torchmetrics/functional/image/__init__.py
@@ -11,14 +11,14 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-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.sam import spectral_angle_mapper  # noqa: F401
-from torchmetrics.functional.image.ssim import (  # noqa: F401
+from torchmetrics.functional.image.d_lambda import spectral_distortion_index
+from torchmetrics.functional.image.ergas import error_relative_global_dimensionless_synthesis
+from torchmetrics.functional.image.gradients import image_gradients
+from torchmetrics.functional.image.psnr import peak_signal_noise_ratio
+from torchmetrics.functional.image.sam import spectral_angle_mapper
+from torchmetrics.functional.image.ssim import (
     multiscale_structural_similarity_index_measure,
     structural_similarity_index_measure,
 )
-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.tv import total_variation
+from torchmetrics.functional.image.uqi import universal_image_quality_index
diff --git a/src/torchmetrics/functional/multimodal/__init__.py b/src/torchmetrics/functional/multimodal/__init__.py
index 42b82326afe..66c9dbbf020 100644
--- a/src/torchmetrics/functional/multimodal/__init__.py
+++ b/src/torchmetrics/functional/multimodal/__init__.py
@@ -14,4 +14,4 @@
 from torchmetrics.utilities.imports import _TRANSFORMERS_AVAILABLE
 
 if _TRANSFORMERS_AVAILABLE:
-    from torchmetrics.functional.multimodal.clip_score import clip_score  # noqa: F401
+    from torchmetrics.functional.multimodal.clip_score import clip_score
diff --git a/src/torchmetrics/functional/nominal/__init__.py b/src/torchmetrics/functional/nominal/__init__.py
index c12c93ac700..0ae6cdf2b23 100644
--- a/src/torchmetrics/functional/nominal/__init__.py
+++ b/src/torchmetrics/functional/nominal/__init__.py
@@ -11,10 +11,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.functional.nominal.cramers import cramers_v, cramers_v_matrix  # noqa: F401
-from torchmetrics.functional.nominal.pearson import (  # noqa: F401
+from torchmetrics.functional.nominal.cramers import cramers_v, cramers_v_matrix
+from torchmetrics.functional.nominal.pearson import (
     pearsons_contingency_coefficient,
     pearsons_contingency_coefficient_matrix,
 )
-from torchmetrics.functional.nominal.theils_u import theils_u, theils_u_matrix  # noqa: F401
-from torchmetrics.functional.nominal.tschuprows import tschuprows_t, tschuprows_t_matrix  # noqa: F401
+from torchmetrics.functional.nominal.theils_u import theils_u, theils_u_matrix
+from torchmetrics.functional.nominal.tschuprows import tschuprows_t, tschuprows_t_matrix
diff --git a/src/torchmetrics/functional/pairwise/__init__.py b/src/torchmetrics/functional/pairwise/__init__.py
index 0027a4aad7d..7bcca04d25b 100644
--- a/src/torchmetrics/functional/pairwise/__init__.py
+++ b/src/torchmetrics/functional/pairwise/__init__.py
@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.functional.pairwise.cosine import pairwise_cosine_similarity  # noqa: F401
-from torchmetrics.functional.pairwise.euclidean import pairwise_euclidean_distance  # noqa: F401
-from torchmetrics.functional.pairwise.linear import pairwise_linear_similarity  # noqa: F401
-from torchmetrics.functional.pairwise.manhattan import pairwise_manhattan_distance  # noqa: F401
+from torchmetrics.functional.pairwise.cosine import pairwise_cosine_similarity
+from torchmetrics.functional.pairwise.euclidean import pairwise_euclidean_distance
+from torchmetrics.functional.pairwise.linear import pairwise_linear_similarity
+from torchmetrics.functional.pairwise.manhattan import pairwise_manhattan_distance
diff --git a/src/torchmetrics/functional/regression/__init__.py b/src/torchmetrics/functional/regression/__init__.py
index 4cef75a985b..84d73c6b555 100644
--- a/src/torchmetrics/functional/regression/__init__.py
+++ b/src/torchmetrics/functional/regression/__init__.py
@@ -11,18 +11,18 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.functional.regression.concordance import concordance_corrcoef  # noqa: F401
-from torchmetrics.functional.regression.cosine_similarity import cosine_similarity  # noqa: F401
-from torchmetrics.functional.regression.explained_variance import explained_variance  # noqa: F401
-from torchmetrics.functional.regression.kendall import kendall_rank_corrcoef  # noqa: F401
-from torchmetrics.functional.regression.kl_divergence import kl_divergence  # noqa: F401
-from torchmetrics.functional.regression.log_cosh import log_cosh_error  # noqa: F401
-from torchmetrics.functional.regression.log_mse import mean_squared_log_error  # noqa: F401
-from torchmetrics.functional.regression.mae import mean_absolute_error  # noqa: F401
-from torchmetrics.functional.regression.mape import mean_absolute_percentage_error  # noqa: F401
-from torchmetrics.functional.regression.mse import mean_squared_error  # noqa: F401
-from torchmetrics.functional.regression.pearson import pearson_corrcoef  # noqa: F401
-from torchmetrics.functional.regression.r2 import r2_score  # noqa: F401
-from torchmetrics.functional.regression.spearman import spearman_corrcoef  # noqa: F401
-from torchmetrics.functional.regression.tweedie_deviance import tweedie_deviance_score  # noqa: F401
-from torchmetrics.functional.regression.wmape import weighted_mean_absolute_percentage_error  # noqa: F401
+from torchmetrics.functional.regression.concordance import concordance_corrcoef
+from torchmetrics.functional.regression.cosine_similarity import cosine_similarity
+from torchmetrics.functional.regression.explained_variance import explained_variance
+from torchmetrics.functional.regression.kendall import kendall_rank_corrcoef
+from torchmetrics.functional.regression.kl_divergence import kl_divergence
+from torchmetrics.functional.regression.log_cosh import log_cosh_error
+from torchmetrics.functional.regression.log_mse import mean_squared_log_error
+from torchmetrics.functional.regression.mae import mean_absolute_error
+from torchmetrics.functional.regression.mape import mean_absolute_percentage_error
+from torchmetrics.functional.regression.mse import mean_squared_error
+from torchmetrics.functional.regression.pearson import pearson_corrcoef
+from torchmetrics.functional.regression.r2 import r2_score
+from torchmetrics.functional.regression.spearman import spearman_corrcoef
+from torchmetrics.functional.regression.tweedie_deviance import tweedie_deviance_score
+from torchmetrics.functional.regression.wmape import weighted_mean_absolute_percentage_error
diff --git a/src/torchmetrics/functional/retrieval/__init__.py b/src/torchmetrics/functional/retrieval/__init__.py
index b50a1f06ce5..4e5d448cace 100644
--- a/src/torchmetrics/functional/retrieval/__init__.py
+++ b/src/torchmetrics/functional/retrieval/__init__.py
@@ -12,12 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from torchmetrics.functional.retrieval.average_precision import retrieval_average_precision  # noqa: F401
-from torchmetrics.functional.retrieval.fall_out import retrieval_fall_out  # noqa: F401
-from torchmetrics.functional.retrieval.hit_rate import retrieval_hit_rate  # noqa: F401
-from torchmetrics.functional.retrieval.ndcg import retrieval_normalized_dcg  # noqa: F401
-from torchmetrics.functional.retrieval.precision import retrieval_precision  # noqa: F401
-from torchmetrics.functional.retrieval.precision_recall_curve import retrieval_precision_recall_curve  # noqa: F401
-from torchmetrics.functional.retrieval.r_precision import retrieval_r_precision  # noqa: F401
-from torchmetrics.functional.retrieval.recall import retrieval_recall  # noqa: F401
-from torchmetrics.functional.retrieval.reciprocal_rank import retrieval_reciprocal_rank  # noqa: F401
+from torchmetrics.functional.retrieval.average_precision import retrieval_average_precision
+from torchmetrics.functional.retrieval.fall_out import retrieval_fall_out
+from torchmetrics.functional.retrieval.hit_rate import retrieval_hit_rate
+from torchmetrics.functional.retrieval.ndcg import retrieval_normalized_dcg
+from torchmetrics.functional.retrieval.precision import retrieval_precision
+from torchmetrics.functional.retrieval.precision_recall_curve import retrieval_precision_recall_curve
+from torchmetrics.functional.retrieval.r_precision import retrieval_r_precision
+from torchmetrics.functional.retrieval.recall import retrieval_recall
+from torchmetrics.functional.retrieval.reciprocal_rank import retrieval_reciprocal_rank
diff --git a/src/torchmetrics/functional/text/__init__.py b/src/torchmetrics/functional/text/__init__.py
index afb371ba79e..5e8019738a4 100644
--- a/src/torchmetrics/functional/text/__init__.py
+++ b/src/torchmetrics/functional/text/__init__.py
@@ -12,23 +12,23 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from torchmetrics.functional.text.bleu import bleu_score  # noqa: F401
-from torchmetrics.functional.text.cer import char_error_rate  # noqa: F401
-from torchmetrics.functional.text.chrf import chrf_score  # noqa: F401
-from torchmetrics.functional.text.eed import extended_edit_distance  # noqa: F401
-from torchmetrics.functional.text.mer import match_error_rate  # noqa: F401
-from torchmetrics.functional.text.perplexity import perplexity  # noqa: F401
-from torchmetrics.functional.text.sacre_bleu import sacre_bleu_score  # noqa: F401
-from torchmetrics.functional.text.squad import squad  # noqa: F401
-from torchmetrics.functional.text.ter import translation_edit_rate  # noqa: F401
-from torchmetrics.functional.text.wer import word_error_rate  # noqa: F401
-from torchmetrics.functional.text.wil import word_information_lost  # noqa: F401
-from torchmetrics.functional.text.wip import word_information_preserved  # noqa: F401
+from torchmetrics.functional.text.bleu import bleu_score
+from torchmetrics.functional.text.cer import char_error_rate
+from torchmetrics.functional.text.chrf import chrf_score
+from torchmetrics.functional.text.eed import extended_edit_distance
+from torchmetrics.functional.text.mer import match_error_rate
+from torchmetrics.functional.text.perplexity import perplexity
+from torchmetrics.functional.text.sacre_bleu import sacre_bleu_score
+from torchmetrics.functional.text.squad import squad
+from torchmetrics.functional.text.ter import translation_edit_rate
+from torchmetrics.functional.text.wer import word_error_rate
+from torchmetrics.functional.text.wil import word_information_lost
+from torchmetrics.functional.text.wip import word_information_preserved
 from torchmetrics.utilities.imports import _NLTK_AVAILABLE, _TRANSFORMERS_AVAILABLE
 
 if _TRANSFORMERS_AVAILABLE:
-    from torchmetrics.functional.text.bert import bert_score  # noqa: F401
-    from torchmetrics.functional.text.infolm import infolm  # noqa: F401
+    from torchmetrics.functional.text.bert import bert_score
+    from torchmetrics.functional.text.infolm import infolm
 
 if _NLTK_AVAILABLE:
-    from torchmetrics.functional.text.rouge import rouge_score  # noqa: F401
+    from torchmetrics.functional.text.rouge import rouge_score
diff --git a/src/torchmetrics/image/__init__.py b/src/torchmetrics/image/__init__.py
index 781c28c8ab4..e12bfa66b76 100644
--- a/src/torchmetrics/image/__init__.py
+++ b/src/torchmetrics/image/__init__.py
@@ -11,23 +11,23 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.image.d_lambda import SpectralDistortionIndex  # noqa: F401
-from torchmetrics.image.ergas import ErrorRelativeGlobalDimensionlessSynthesis  # noqa: F401
-from torchmetrics.image.psnr import PeakSignalNoiseRatio  # noqa: F401
-from torchmetrics.image.sam import SpectralAngleMapper  # noqa: F401
-from torchmetrics.image.ssim import (  # noqa: F401
+from torchmetrics.image.d_lambda import SpectralDistortionIndex
+from torchmetrics.image.ergas import ErrorRelativeGlobalDimensionlessSynthesis
+from torchmetrics.image.psnr import PeakSignalNoiseRatio
+from torchmetrics.image.sam import SpectralAngleMapper
+from torchmetrics.image.ssim import (
     MultiScaleStructuralSimilarityIndexMeasure,
     StructuralSimilarityIndexMeasure,
 )
-from torchmetrics.image.uqi import UniversalImageQualityIndex  # noqa: F401
+from torchmetrics.image.uqi import UniversalImageQualityIndex
 from torchmetrics.utilities.imports import _LPIPS_AVAILABLE, _TORCH_FIDELITY_AVAILABLE
 
 if _TORCH_FIDELITY_AVAILABLE:
-    from torchmetrics.image.fid import FrechetInceptionDistance  # noqa: F401
-    from torchmetrics.image.inception import InceptionScore  # noqa: F401
-    from torchmetrics.image.kid import KernelInceptionDistance  # noqa: F401
+    from torchmetrics.image.fid import FrechetInceptionDistance
+    from torchmetrics.image.inception import InceptionScore
+    from torchmetrics.image.kid import KernelInceptionDistance
 
 if _LPIPS_AVAILABLE:
-    from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity  # noqa: F401
+    from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
 
-from torchmetrics.image.tv import TotalVariation  # noqa: F401
+from torchmetrics.image.tv import TotalVariation
diff --git a/src/torchmetrics/multimodal/__init__.py b/src/torchmetrics/multimodal/__init__.py
index e5b4ad56ce2..fecf96965ae 100644
--- a/src/torchmetrics/multimodal/__init__.py
+++ b/src/torchmetrics/multimodal/__init__.py
@@ -14,4 +14,4 @@
 from torchmetrics.utilities.imports import _TRANSFORMERS_AVAILABLE
 
 if _TRANSFORMERS_AVAILABLE:
-    from torchmetrics.multimodal.clip_score import CLIPScore  # noqa: F401
+    from torchmetrics.multimodal.clip_score import CLIPScore
diff --git a/src/torchmetrics/nominal/__init__.py b/src/torchmetrics/nominal/__init__.py
index d26572f4a27..88008ef8911 100644
--- a/src/torchmetrics/nominal/__init__.py
+++ b/src/torchmetrics/nominal/__init__.py
@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.nominal.cramers import CramersV  # noqa: F401
-from torchmetrics.nominal.pearson import PearsonsContingencyCoefficient  # noqa: F401
-from torchmetrics.nominal.theils_u import TheilsU  # noqa: F401
-from torchmetrics.nominal.tschuprows import TschuprowsT  # noqa: F401
+from torchmetrics.nominal.cramers import CramersV
+from torchmetrics.nominal.pearson import PearsonsContingencyCoefficient
+from torchmetrics.nominal.theils_u import TheilsU
+from torchmetrics.nominal.tschuprows import TschuprowsT
diff --git a/src/torchmetrics/regression/__init__.py b/src/torchmetrics/regression/__init__.py
index 860a670eb3d..50ea063dd51 100644
--- a/src/torchmetrics/regression/__init__.py
+++ b/src/torchmetrics/regression/__init__.py
@@ -11,19 +11,19 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.regression.concordance import ConcordanceCorrCoef  # noqa: F401
-from torchmetrics.regression.cosine_similarity import CosineSimilarity  # noqa: F401
-from torchmetrics.regression.explained_variance import ExplainedVariance  # noqa: F401
-from torchmetrics.regression.kendall import KendallRankCorrCoef  # noqa: F401
-from torchmetrics.regression.kl_divergence import KLDivergence  # noqa: F401
-from torchmetrics.regression.log_cosh import LogCoshError  # noqa: F401
-from torchmetrics.regression.log_mse import MeanSquaredLogError  # noqa: F401
-from torchmetrics.regression.mae import MeanAbsoluteError  # noqa: F401
-from torchmetrics.regression.mape import MeanAbsolutePercentageError  # noqa: F401
-from torchmetrics.regression.mse import MeanSquaredError  # noqa: F401
-from torchmetrics.regression.pearson import PearsonCorrCoef  # noqa: F401
-from torchmetrics.regression.r2 import R2Score  # noqa: F401
-from torchmetrics.regression.spearman import SpearmanCorrCoef  # noqa: F401
-from torchmetrics.regression.symmetric_mape import SymmetricMeanAbsolutePercentageError  # noqa: F401
-from torchmetrics.regression.tweedie_deviance import TweedieDevianceScore  # noqa: F401
-from torchmetrics.regression.wmape import WeightedMeanAbsolutePercentageError  # noqa: F401
+from torchmetrics.regression.concordance import ConcordanceCorrCoef
+from torchmetrics.regression.cosine_similarity import CosineSimilarity
+from torchmetrics.regression.explained_variance import ExplainedVariance
+from torchmetrics.regression.kendall import KendallRankCorrCoef
+from torchmetrics.regression.kl_divergence import KLDivergence
+from torchmetrics.regression.log_cosh import LogCoshError
+from torchmetrics.regression.log_mse import MeanSquaredLogError
+from torchmetrics.regression.mae import MeanAbsoluteError
+from torchmetrics.regression.mape import MeanAbsolutePercentageError
+from torchmetrics.regression.mse import MeanSquaredError
+from torchmetrics.regression.pearson import PearsonCorrCoef
+from torchmetrics.regression.r2 import R2Score
+from torchmetrics.regression.spearman import SpearmanCorrCoef
+from torchmetrics.regression.symmetric_mape import SymmetricMeanAbsolutePercentageError
+from torchmetrics.regression.tweedie_deviance import TweedieDevianceScore
+from torchmetrics.regression.wmape import WeightedMeanAbsolutePercentageError
diff --git a/src/torchmetrics/retrieval/__init__.py b/src/torchmetrics/retrieval/__init__.py
index dff16a7d19f..63134335ba3 100644
--- a/src/torchmetrics/retrieval/__init__.py
+++ b/src/torchmetrics/retrieval/__init__.py
@@ -11,16 +11,16 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.retrieval.average_precision import RetrievalMAP  # noqa: F401
-from torchmetrics.retrieval.base import RetrievalMetric  # noqa: F401
-from torchmetrics.retrieval.fall_out import RetrievalFallOut  # noqa: F401
-from torchmetrics.retrieval.hit_rate import RetrievalHitRate  # noqa: F401
-from torchmetrics.retrieval.ndcg import RetrievalNormalizedDCG  # noqa: F401
-from torchmetrics.retrieval.precision import RetrievalPrecision  # noqa: F401
-from torchmetrics.retrieval.precision_recall_curve import (  # noqa: F401
+from torchmetrics.retrieval.average_precision import RetrievalMAP
+from torchmetrics.retrieval.base import RetrievalMetric
+from torchmetrics.retrieval.fall_out import RetrievalFallOut
+from torchmetrics.retrieval.hit_rate import RetrievalHitRate
+from torchmetrics.retrieval.ndcg import RetrievalNormalizedDCG
+from torchmetrics.retrieval.precision import RetrievalPrecision
+from torchmetrics.retrieval.precision_recall_curve import (
     RetrievalPrecisionRecallCurve,
     RetrievalRecallAtFixedPrecision,
 )
-from torchmetrics.retrieval.r_precision import RetrievalRPrecision  # noqa: F401
-from torchmetrics.retrieval.recall import RetrievalRecall  # noqa: F401
-from torchmetrics.retrieval.reciprocal_rank import RetrievalMRR  # noqa: F401
+from torchmetrics.retrieval.r_precision import RetrievalRPrecision
+from torchmetrics.retrieval.recall import RetrievalRecall
+from torchmetrics.retrieval.reciprocal_rank import RetrievalMRR
diff --git a/src/torchmetrics/text/__init__.py b/src/torchmetrics/text/__init__.py
index 072ca55d3fc..180138c6189 100644
--- a/src/torchmetrics/text/__init__.py
+++ b/src/torchmetrics/text/__init__.py
@@ -11,23 +11,23 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.text.bleu import BLEUScore  # noqa: F401
-from torchmetrics.text.cer import CharErrorRate  # noqa: F401
-from torchmetrics.text.chrf import CHRFScore  # noqa: F401
-from torchmetrics.text.eed import ExtendedEditDistance  # noqa: F401
-from torchmetrics.text.mer import MatchErrorRate  # noqa: F401
-from torchmetrics.text.perplexity import Perplexity  # noqa: F401
-from torchmetrics.text.sacre_bleu import SacreBLEUScore  # noqa: F401
-from torchmetrics.text.squad import SQuAD  # noqa: F401
-from torchmetrics.text.ter import TranslationEditRate  # noqa: F401
-from torchmetrics.text.wer import WordErrorRate  # noqa: F401
-from torchmetrics.text.wil import WordInfoLost  # noqa: F401
-from torchmetrics.text.wip import WordInfoPreserved  # noqa: F401
+from torchmetrics.text.bleu import BLEUScore
+from torchmetrics.text.cer import CharErrorRate
+from torchmetrics.text.chrf import CHRFScore
+from torchmetrics.text.eed import ExtendedEditDistance
+from torchmetrics.text.mer import MatchErrorRate
+from torchmetrics.text.perplexity import Perplexity
+from torchmetrics.text.sacre_bleu import SacreBLEUScore
+from torchmetrics.text.squad import SQuAD
+from torchmetrics.text.ter import TranslationEditRate
+from torchmetrics.text.wer import WordErrorRate
+from torchmetrics.text.wil import WordInfoLost
+from torchmetrics.text.wip import WordInfoPreserved
 from torchmetrics.utilities.imports import _NLTK_AVAILABLE, _TRANSFORMERS_AVAILABLE
 
 if _TRANSFORMERS_AVAILABLE:
-    from torchmetrics.text.bert import BERTScore  # noqa: F401
-    from torchmetrics.text.infolm import InfoLM  # noqa: F401
+    from torchmetrics.text.bert import BERTScore
+    from torchmetrics.text.infolm import InfoLM
 
 if _NLTK_AVAILABLE:
-    from torchmetrics.text.rouge import ROUGEScore  # noqa: F401
+    from torchmetrics.text.rouge import ROUGEScore
diff --git a/src/torchmetrics/utilities/__init__.py b/src/torchmetrics/utilities/__init__.py
index 231355a56db..e3fc6acd738 100644
--- a/src/torchmetrics/utilities/__init__.py
+++ b/src/torchmetrics/utilities/__init__.py
@@ -1,4 +1,4 @@
-from torchmetrics.utilities.checks import check_forward_full_state_property  # noqa: F401
-from torchmetrics.utilities.data import apply_to_collection  # noqa: F401
-from torchmetrics.utilities.distributed import class_reduce, reduce  # noqa: F401
-from torchmetrics.utilities.prints import _future_warning, rank_zero_debug, rank_zero_info, rank_zero_warn  # noqa: F401
+from torchmetrics.utilities.checks import check_forward_full_state_property
+from torchmetrics.utilities.data import apply_to_collection
+from torchmetrics.utilities.distributed import class_reduce, reduce
+from torchmetrics.utilities.prints import _future_warning, rank_zero_debug, rank_zero_info, rank_zero_warn
diff --git a/src/torchmetrics/utilities/imports.py b/src/torchmetrics/utilities/imports.py
index b05c1bbb04b..fe1fb58d30b 100644
--- a/src/torchmetrics/utilities/imports.py
+++ b/src/torchmetrics/utilities/imports.py
@@ -13,7 +13,7 @@
 # limitations under the License.
 """Import utilities."""
 import operator
-from collections import OrderedDict  # noqa: F401
+from collections import OrderedDict
 from functools import lru_cache
 from importlib import import_module
 from importlib.util import find_spec
diff --git a/src/torchmetrics/wrappers/__init__.py b/src/torchmetrics/wrappers/__init__.py
index 98dbb137b19..379ad9fc869 100644
--- a/src/torchmetrics/wrappers/__init__.py
+++ b/src/torchmetrics/wrappers/__init__.py
@@ -11,8 +11,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from torchmetrics.wrappers.bootstrapping import BootStrapper  # noqa: F401
-from torchmetrics.wrappers.classwise import ClasswiseWrapper  # noqa: F401
-from torchmetrics.wrappers.minmax import MinMaxMetric  # noqa: F401
-from torchmetrics.wrappers.multioutput import MultioutputWrapper  # noqa: F401
-from torchmetrics.wrappers.tracker import MetricTracker  # noqa: F401
+from torchmetrics.wrappers.bootstrapping import BootStrapper
+from torchmetrics.wrappers.classwise import ClasswiseWrapper
+from torchmetrics.wrappers.minmax import MinMaxMetric
+from torchmetrics.wrappers.multioutput import MultioutputWrapper
+from torchmetrics.wrappers.tracker import MetricTracker
diff --git a/tests/unittests/__init__.py b/tests/unittests/__init__.py
index c0f0fd23aef..bdf33a91d2f 100644
--- a/tests/unittests/__init__.py
+++ b/tests/unittests/__init__.py
@@ -1,6 +1,6 @@
 import os.path
 
-from unittests.helpers.testers import BATCH_SIZE, NUM_BATCHES, NUM_PROCESSES, DummyMetric, MetricTester  # noqa: F401
+from unittests.helpers.testers import BATCH_SIZE, NUM_BATCHES, NUM_PROCESSES, DummyMetric, MetricTester
 
 _PATH_TESTS = os.path.dirname(__file__)
 _PATH_ROOT = os.path.dirname(_PATH_TESTS)