[pre-commit.ci] pre-commit suggestions (#7279)

* [pre-commit.ci] pre-commit suggestions

updates:
- [github.com/asottile/pyupgrade: v2.31.0 → v2.31.1](https://github.com/asottile/pyupgrade/compare/v2.31.0...v2.31.1)
- [github.com/pre-commit/mirrors-yapf: v0.31.0 → v0.32.0](https://github.com/pre-commit/mirrors-yapf/compare/v0.31.0...v0.32.0)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update yolo.py

* Update activations.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update activations.py

* Update tf.py

* Update tf.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

models/tf.py

@@ -50,6 +50,7 @@ class TFBN(keras.layers.Layer):
 
 
 class TFPad(keras.layers.Layer):
+
     def __init__(self, pad):
         super().__init__()
         self.pad = tf.constant([[0, 0], [pad, pad], [pad, pad], [0, 0]])
@@ -206,6 +207,7 @@ class TFSPPF(keras.layers.Layer):
 
 
 class TFDetect(keras.layers.Layer):
+    # TF YOLOv5 Detect layer
     def __init__(self, nc=80, anchors=(), ch=(), imgsz=(640, 640), w=None):  # detection layer
         super().__init__()
         self.stride = tf.convert_to_tensor(w.stride.numpy(), dtype=tf.float32)
@@ -255,6 +257,7 @@ class TFDetect(keras.layers.Layer):
 
 
 class TFUpsample(keras.layers.Layer):
+    # TF version of torch.nn.Upsample()
     def __init__(self, size, scale_factor, mode, w=None):  # warning: all arguments needed including 'w'
         super().__init__()
         assert scale_factor == 2, "scale_factor must be 2"
@@ -269,6 +272,7 @@ class TFUpsample(keras.layers.Layer):
 
 
 class TFConcat(keras.layers.Layer):
+    # TF version of torch.concat()
     def __init__(self, dimension=1, w=None):
         super().__init__()
         assert dimension == 1, "convert only NCHW to NHWC concat"
@@ -331,6 +335,7 @@ def parse_model(d, ch, model, imgsz):  # model_dict, input_channels(3)
 
 
 class TFModel:
+    # TF YOLOv5 model
     def __init__(self, cfg='yolov5s.yaml', ch=3, nc=None, model=None, imgsz=(640, 640)):  # model, channels, classes
         super().__init__()
         if isinstance(cfg, dict):

models/yolo.py

@@ -88,6 +88,7 @@ class Detect(nn.Module):
 
 
 class Model(nn.Module):
+    # YOLOv5 model
     def __init__(self, cfg='yolov5s.yaml', ch=3, nc=None, anchors=None):  # model, input channels, number of classes
         super().__init__()
         if isinstance(cfg, dict):