From 85930b5e113e4dbbcf0e66cb49d6ff2587f6eb3a Mon Sep 17 00:00:00 2001
From: Tamino Huxohl <thuxohl@techfak.uni-bielefeld.de>
Date: Tue, 27 Sep 2022 10:05:29 +0200
Subject: [PATCH] formatting
---
mu_map/dataset/normalization.py | 12 +++++++++---
1 file changed, 9 insertions(+), 3 deletions(-)
diff --git a/mu_map/dataset/normalization.py b/mu_map/dataset/normalization.py
index 85ec9af..f233b4c 100644
--- a/mu_map/dataset/normalization.py
+++ b/mu_map/dataset/normalization.py
@@ -8,7 +8,9 @@ def norm_max(tensor: Tensor) -> Tensor:
class MaxNormTransform(Transform):
- def __call__(self, inputs: Tensor, outputs_expected: Tensor) -> Tuple[Tensor, Tensor]:
+ def __call__(
+ self, inputs: Tensor, outputs_expected: Tensor
+ ) -> Tuple[Tensor, Tensor]:
return norm_max(inputs), outputs_expected
@@ -17,7 +19,9 @@ def norm_mean(tensor: Tensor):
class MeanNormTransform(Transform):
- def __call__(self, inputs: Tensor, outputs_expected: Tensor) -> Tuple[Tensor, Tensor]:
+ def __call__(
+ self, inputs: Tensor, outputs_expected: Tensor
+ ) -> Tuple[Tensor, Tensor]:
return norm_mean(inputs), outputs_expected
@@ -26,7 +30,9 @@ def norm_gaussian(tensor: Tensor):
class GaussianNormTransform(Transform):
- def __call__(self, inputs: Tensor, outputs_expected: Tensor) -> Tuple[Tensor, Tensor]:
+ def __call__(
+ self, inputs: Tensor, outputs_expected: Tensor
+ ) -> Tuple[Tensor, Tensor]:
return norm_gaussian(inputs), outputs_expected
--
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