Update Actions with Lychee and GitHub Token (#12592)

* Add Ultralytics Actions

* Auto-format by Ultralytics actions

* Update format.yml

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

utils/activations.py

@@ -1,7 +1,5 @@
 # YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
-"""
-Activation functions
-"""
+"""Activation functions."""
 
 import torch
 import torch.nn as nn
@@ -33,7 +31,6 @@ class Mish(nn.Module):
 class MemoryEfficientMish(nn.Module):
     # Mish activation memory-efficient
     class F(torch.autograd.Function):
-
         @staticmethod
         def forward(ctx, x):
             ctx.save_for_backward(x)
@@ -62,7 +59,7 @@ class FReLU(nn.Module):
 
 
 class AconC(nn.Module):
-    r""" ACON activation (activate or not)
+    r"""ACON activation (activate or not)
     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>.
     """
@@ -79,7 +76,7 @@ class AconC(nn.Module):
 
 
 class MetaAconC(nn.Module):
-    r""" ACON activation (activate or not)
+    r"""ACON activation (activate or not)
     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>.
     """