Refactor code for speed and clarity

ultralytics · Jun 20, 2024 · af86310 · af86310
1 parent 9517cac
commit af86310
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Showing 7 changed files with 4 additions and 9 deletions.
diff --git a/README.md b/README.md
@@ -1,5 +1,5 @@
 <br>
-<img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" width="320">
+<a href="https://ultralytics.com" target="_blank"><img src="https://raw.githubusercontent.com/ultralytics/assets/main/logo/Ultralytics_Logotype_Original.svg" width="320" alt="Ultralytics logo"></a>
 
 # 🚀 THOP: PyTorch-OpCounter
 
@@ -154,7 +154,7 @@ For bugs or feature requests, please open an issue on [GitHub Issues](https://gi
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
   <a href="https://www.tiktok.com/@ultralytics"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-tiktok.png" width="3%" alt="Ultralytics TikTok"></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
-  <a href="https://www.instagram.com/ultralytics/"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-instagram.png" width="3%" alt="Ultralytics Instagram"></a>
+  <a href="https://ultralytics.com/bilibili"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-bilibili.png" width="3%" alt="Ultralytics Instagram"></a>
   <img src="https://github.com/ultralytics/assets/raw/main/social/logo-transparent.png" width="3%" alt="space">
   <a href="https://ultralytics.com/discord"><img src="https://github.com/ultralytics/assets/raw/main/social/logo-social-discord.png" width="3%" alt="Ultralytics Discord"></a>
 </div>
diff --git a/benchmark/evaluate_famous_models.py b/benchmark/evaluate_famous_models.py
@@ -1,7 +1,6 @@
 import torch
-from torchvision import models
-
 from thop.profile import profile
+from torchvision import models
 
 model_names = sorted(
     name

diff --git a/benchmark/evaluate_rnn_models.py b/benchmark/evaluate_rnn_models.py
@@ -1,6 +1,5 @@
 import torch
 import torch.nn as nn
-
 from thop.profile import profile
 
 input_size = 160

diff --git a/tests/test_conv2d.py b/tests/test_conv2d.py
@@ -1,6 +1,5 @@
 import torch
 import torch.nn as nn
-
 from thop import profile
 
 

diff --git a/tests/test_matmul.py b/tests/test_matmul.py
@@ -1,6 +1,5 @@
 import torch
 import torch.nn as nn
-
 from thop import profile
 
 

diff --git a/tests/test_relu.py b/tests/test_relu.py
@@ -1,6 +1,5 @@
 import torch
 import torch.nn as nn
-
 from thop import profile
 
 

diff --git a/thop/vision/basic_hooks.py b/thop/vision/basic_hooks.py
@@ -21,7 +21,7 @@ def zero_ops(m, x, y):
 def count_convNd(m: _ConvNd, x, y: torch.Tensor):
     """Calculate and add the number of convolutional operations (FLOPs) to the model's total operations count."""
     x = x[0]
-    
+
     m.total_ops += calculate_conv2d_flops(
         input_size=list(x.shape),
         output_size=list(y.shape),