Eliminate packaging dependency

.github/workflows/publish.yml

@@ -48,7 +48,7 @@ jobs:
           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 = (d[0] == d[1] == 0) and (0 < d[2] < 3)  # only publish if patch version increments by 1 or 2
+          increment = True  # (d[0] == d[1] == 0) and (0 < d[2] < 3)  # only publish if patch version increments by 1 or 2
           os.system(f'echo "increment={increment}" >> $GITHUB_OUTPUT')
           os.system(f'echo "version={pyproject_version}" >> $GITHUB_OUTPUT')
           if increment:

pyproject.toml

@@ -25,11 +25,11 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "ultralytics-thop"
-version = "0.0.3"  # Placeholder version, needs to be dynamically set
-description = "A tool to count the FLOPs of PyTorch model."
+dynamic = ["version"]
+description = "Ultralytics THOP package for fast computation of PyTorch model FLOPs and parameters."
 readme = "README.md"
 requires-python = ">=3.8"
-license = { file = "LICENSE" }
+license = { "text" = "AGPL-3.0" }
 keywords = ["FLOPs", "PyTorch", "Model Analysis"]  # Optional
 authors = [
     { name = "Ligeng Zhu", email = "[email protected]" }
@@ -57,7 +57,6 @@ classifiers = [
     "Operating System :: Microsoft :: Windows",
 ]
 dependencies = [
-    "packaging",
     "torch",
 ]
 

thop/__init__.py

@@ -5,4 +5,4 @@
 from .utils import clever_format
 
 default_dtype = torch.float64
-from .__version__ import __version__
+__version__ = "0.2.0"

thop/profile.py

@@ -1,17 +1,10 @@
-from packaging.version import Version
-
 from thop.rnn_hooks import *
 from thop.vision.basic_hooks import *
 
 # logger = logging.getLogger(__name__)
 # logger.setLevel(logging.INFO)
 from .utils import prGreen, prRed, prYellow
 
-if Version(torch.__version__) < Version("1.0.0"):
-    logging.warning(
-        "You are using an old version PyTorch {version}, which THOP does NOT support.".format(version=torch.__version__)
-    )
-
 default_dtype = torch.float64
 
 register_hooks = {
@@ -59,11 +52,9 @@
     nn.LSTM: count_lstm,
     nn.Sequential: zero_ops,
     nn.PixelShuffle: zero_ops,
+    nn.SyncBatchNorm: count_normalization,
 }
 
-if Version(torch.__version__) >= Version("1.1.0"):
-    register_hooks.update({nn.SyncBatchNorm: count_normalization})
-
 
 def profile_origin(model, inputs, custom_ops=None, verbose=True, report_missing=False):
     """Profiles a PyTorch model's operations and parameters by applying custom or default hooks and returns total
@@ -98,14 +89,14 @@ def add_hooks(m):
         if m_type in custom_ops:  # if defined both op maps, use custom_ops to overwrite.
             fn = custom_ops[m_type]
             if m_type not in types_collection and verbose:
-                print("[INFO] Customize rule %s() %s." % (fn.__qualname__, m_type))
+                print(f"[INFO] Customize rule {fn.__qualname__}() {m_type}.")
         elif m_type in register_hooks:
             fn = register_hooks[m_type]
             if m_type not in types_collection and verbose:
-                print("[INFO] Register %s() for %s." % (fn.__qualname__, m_type))
+                print(f"[INFO] Register {fn.__qualname__}() for {m_type}.")
         else:
             if m_type not in types_collection and report_missing:
-                prRed("[WARN] Cannot find rule for %s. Treat it as zero Macs and zero Params." % m_type)
+                prRed(f"[WARN] Cannot find rule for {m_type}. Treat it as zero Macs and zero Params.")
 
         if fn is not None:
             handler = m.register_forward_hook(fn)
@@ -179,14 +170,14 @@ def add_hooks(m: nn.Module):
             # if defined both op maps, use custom_ops to overwrite.
             fn = custom_ops[m_type]
             if m_type not in types_collection and verbose:
-                print("[INFO] Customize rule %s() %s." % (fn.__qualname__, m_type))
+                print(f"[INFO] Customize rule {fn.__qualname__}() {m_type}.")
         elif m_type in register_hooks:
             fn = register_hooks[m_type]
             if m_type not in types_collection and verbose:
-                print("[INFO] Register %s() for %s." % (fn.__qualname__, m_type))
+                print(f"[INFO] Register {fn.__qualname__}() for {m_type}.")
         else:
             if m_type not in types_collection and report_missing:
-                prRed("[WARN] Cannot find rule for %s. Treat it as zero Macs and zero Params." % m_type)
+                prRed(f"[WARN] Cannot find rule for {m_type}. Treat it as zero Macs and zero Params.")
 
         if fn is not None:
             handler_collection[m] = (