Update publish.yml

.github/workflows/publish.yml

@@ -40,26 +40,27 @@ jobs:
           import thop
           import ultralytics
           from ultralytics.utils.checks import check_latest_pypi_version
-
           v_local = tuple(map(int, thop.__version__.split('.')))
           v_pypi = tuple(map(int, check_latest_pypi_version('ultralytics-thop').split('.')))
-
           print(f'Local version is {v_local}')
           print(f'PyPI version is {v_pypi}')
-
           d = [a - b for a, b in zip(v_local, v_pypi)]  # diff
-
           increment_patch = (d[0] == d[1] == 0) and (0 < d[2] < 3)  # publish if patch version increments by 1 or 2
           increment_minor = (d[0] == 0) and (d[1] == 1) and v_local[2] == 0  # publish if minor version increments
-
           increment = increment_patch or increment_minor
-
           os.system(f'echo "increment={increment}" >> $GITHUB_OUTPUT')
           os.system(f'echo "version={thop.__version__}" >> $GITHUB_OUTPUT')
-
           if increment:
               print('Local version is higher than PyPI version. Publishing new version to PyPI ✅.')
         id: check_pypi
+      - name: Publish new tag
+        if: steps.check_pypi.outputs.increment == 'True'
+        run: |
+          COMMIT_MESSAGE=$(git log -1 --pretty=%B)
+          git config --global user.name "UltralyticsAssistant"
+          git config --global user.email "[email protected]"
+          git tag -a "v${{ steps.check_pypi.outputs.version }}" -m "$COMMIT_MESSAGE"
+          git push origin "v${{ steps.check_pypi.outputs.version }}"
       - name: Publish to PyPI
         continue-on-error: true
         if: (github.event_name == 'push' || github.event.inputs.pypi == 'true')  && steps.check_pypi.outputs.increment == 'True'

README.md

@@ -40,7 +40,7 @@ import torch
 
 model = resnet50()
 input = torch.randn(1, 3, 224, 224)
-macs, params = profile(model, inputs=(input, ))
+macs, params = profile(model, inputs=(input,))
 ```
 
 ### Define Custom Rules for Third-Party Modules
@@ -50,16 +50,19 @@ You can define custom rules for unsupported modules:
 ```python
 import torch.nn as nn
 
+
 class YourModule(nn.Module):
     # your definition
     pass
 
+
 def count_your_model(model, x, y):
     # your rule here
     pass
 
+
 input = torch.randn(1, 3, 224, 224)
-macs, params = profile(model, inputs=(input, ), custom_ops={YourModule: count_your_model})
+macs, params = profile(model, inputs=(input,), custom_ops={YourModule: count_your_model})
 ```
 
 ### Improve Output Readability
@@ -68,6 +71,7 @@ Use `thop.clever_format` for a more readable output:
 
 ```python
 from thop import clever_format
+
 macs, params = clever_format([macs, params], "%.3f")
 ```