HongChuang/ultralytics-ascend
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Add docformatter to pre-commit (#5279)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
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Glenn Jocher 2023-10-09 02:25:22 +02:00 • committed by GitHub
parent c7aa83da31
commit 7517667a33
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90 changed files with 1396 additions and 497 deletions
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12
ultralytics/engine/model.py
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@ -159,9 +159,7 @@ class Model(nn.Module):
self.overrides['task'] = self.task
def _check_is_pytorch_model(self):
"""
Raises TypeError is model is not a PyTorch model
"""
"""Raises TypeError is model is not a PyTorch model."""
pt_str = isinstance(self.model, (str, Path)) and Path(self.model).suffix == '.pt'
pt_module = isinstance(self.model, nn.Module)
if not (pt_module or pt_str):
@ -173,9 +171,7 @@ class Model(nn.Module):
f"argument directly in your inference command, i.e. 'model.predict(source=..., device=0)'")
def reset_weights(self):
"""
Resets the model modules parameters to randomly initialized values, losing all training information.
"""
"""Resets the model modules parameters to randomly initialized values, losing all training information."""
self._check_is_pytorch_model()
for m in self.model.modules():
if hasattr(m, 'reset_parameters'):
@ -185,9 +181,7 @@ class Model(nn.Module):
return self
def load(self, weights='yolov8n.pt'):
"""
Transfers parameters with matching names and shapes from 'weights' to model.
"""
"""Transfers parameters with matching names and shapes from 'weights' to model."""
self._check_is_pytorch_model()
if isinstance(weights, (str, Path)):
weights, self.ckpt = attempt_load_one_weight(weights)