precommit: yapf (#5494)

* precommit: yapf

* align isort

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# Conflicts:
#	utils/plots.py

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

@@ -64,7 +64,6 @@ class AconC(nn.Module):
     AconC: (p1*x-p2*x) * sigmoid(beta*(p1*x-p2*x)) + p2*x, beta is a learnable parameter
     according to "Activate or Not: Learning Customized Activation" <https://arxiv.org/pdf/2009.04759.pdf>.
     """
-
     def __init__(self, c1):
         super().__init__()
         self.p1 = nn.Parameter(torch.randn(1, c1, 1, 1))
@@ -81,7 +80,6 @@ class MetaAconC(nn.Module):
     MetaAconC: (p1*x-p2*x) * sigmoid(beta*(p1*x-p2*x)) + p2*x, beta is generated by a small network
     according to "Activate or Not: Learning Customized Activation" <https://arxiv.org/pdf/2009.04759.pdf>.
     """
-
     def __init__(self, c1, k=1, s=1, r=16):  # ch_in, kernel, stride, r
         super().__init__()
         c2 = max(r, c1 // r)