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OpenDAS
vision
Commits
b30fa5c1
"git@developer.sourcefind.cn:renzhc/diffusers_dcu.git" did not exist on "26832aa5ef900e9750cde6ad7e91c43de80c1c46"
Unverified
Commit
b30fa5c1
authored
Aug 01, 2022
by
Vasilis Vryniotis
Committed by
GitHub
Aug 01, 2022
Browse files
Remove duplicate doc args. (#6340)
parent
0a919dbb
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torchvision/models/regnet.py
torchvision/models/regnet.py
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torchvision/models/regnet.py
View file @
b30fa5c1
...
@@ -1392,10 +1392,6 @@ def regnet_x_1_6gf(*, weights: Optional[RegNet_X_1_6GF_Weights] = None, progress
...
@@ -1392,10 +1392,6 @@ def regnet_x_1_6gf(*, weights: Optional[RegNet_X_1_6GF_Weights] = None, progress
.. autoclass:: torchvision.models.RegNet_X_1_6GF_Weights
.. autoclass:: torchvision.models.RegNet_X_1_6GF_Weights
:members:
:members:
Args:
weights (RegNet_X_1_6GF_Weights, optional): The pretrained weights for the model
progress (bool): If True, displays a progress bar of the download to stderr
"""
"""
weights
=
RegNet_X_1_6GF_Weights
.
verify
(
weights
)
weights
=
RegNet_X_1_6GF_Weights
.
verify
(
weights
)
...
@@ -1422,10 +1418,6 @@ def regnet_x_3_2gf(*, weights: Optional[RegNet_X_3_2GF_Weights] = None, progress
...
@@ -1422,10 +1418,6 @@ def regnet_x_3_2gf(*, weights: Optional[RegNet_X_3_2GF_Weights] = None, progress
.. autoclass:: torchvision.models.RegNet_X_3_2GF_Weights
.. autoclass:: torchvision.models.RegNet_X_3_2GF_Weights
:members:
:members:
Args:
weights (RegNet_X_3_2GF_Weights, optional): The pretrained weights for the model
progress (bool): If True, displays a progress bar of the download to stderr
"""
"""
weights
=
RegNet_X_3_2GF_Weights
.
verify
(
weights
)
weights
=
RegNet_X_3_2GF_Weights
.
verify
(
weights
)
...
@@ -1452,10 +1444,6 @@ def regnet_x_8gf(*, weights: Optional[RegNet_X_8GF_Weights] = None, progress: bo
...
@@ -1452,10 +1444,6 @@ def regnet_x_8gf(*, weights: Optional[RegNet_X_8GF_Weights] = None, progress: bo
.. autoclass:: torchvision.models.RegNet_X_8GF_Weights
.. autoclass:: torchvision.models.RegNet_X_8GF_Weights
:members:
:members:
Args:
weights (RegNet_X_8GF_Weights, optional): The pretrained weights for the model
progress (bool): If True, displays a progress bar of the download to stderr
"""
"""
weights
=
RegNet_X_8GF_Weights
.
verify
(
weights
)
weights
=
RegNet_X_8GF_Weights
.
verify
(
weights
)
...
@@ -1482,10 +1470,6 @@ def regnet_x_16gf(*, weights: Optional[RegNet_X_16GF_Weights] = None, progress:
...
@@ -1482,10 +1470,6 @@ def regnet_x_16gf(*, weights: Optional[RegNet_X_16GF_Weights] = None, progress:
.. autoclass:: torchvision.models.RegNet_X_16GF_Weights
.. autoclass:: torchvision.models.RegNet_X_16GF_Weights
:members:
:members:
Args:
weights (RegNet_X_16GF_Weights, optional): The pretrained weights for the model
progress (bool): If True, displays a progress bar of the download to stderr
"""
"""
weights
=
RegNet_X_16GF_Weights
.
verify
(
weights
)
weights
=
RegNet_X_16GF_Weights
.
verify
(
weights
)
...
@@ -1512,10 +1496,6 @@ def regnet_x_32gf(*, weights: Optional[RegNet_X_32GF_Weights] = None, progress:
...
@@ -1512,10 +1496,6 @@ def regnet_x_32gf(*, weights: Optional[RegNet_X_32GF_Weights] = None, progress:
.. autoclass:: torchvision.models.RegNet_X_32GF_Weights
.. autoclass:: torchvision.models.RegNet_X_32GF_Weights
:members:
:members:
Args:
weights (RegNet_X_32GF_Weights, optional): The pretrained weights for the model
progress (bool): If True, displays a progress bar of the download to stderr
"""
"""
weights
=
RegNet_X_32GF_Weights
.
verify
(
weights
)
weights
=
RegNet_X_32GF_Weights
.
verify
(
weights
)
...
...
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