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Fix RegNet links in docs (#5937)
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‎torchvision/models/regnet.py

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@@ -932,16 +932,16 @@ def regnet_y_400mf(*, weights: Optional[RegNet_Y_400MF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_Y_400MF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_Y_400MF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_Y_400MF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_Y_400MF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_Y_400MF_Weights
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.. autoclass:: torchvision.models.RegNet_Y_400MF_Weights
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:members:
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"""
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weights = RegNet_Y_400MF_Weights.verify(weights)
@@ -957,16 +957,16 @@ def regnet_y_800mf(*, weights: Optional[RegNet_Y_800MF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_Y_800MF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_Y_800MF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_Y_800MF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_Y_800MF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_Y_800MF_Weights
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.. autoclass:: torchvision.models.RegNet_Y_800MF_Weights
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:members:
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"""
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weights = RegNet_Y_800MF_Weights.verify(weights)
@@ -982,16 +982,16 @@ def regnet_y_1_6gf(*, weights: Optional[RegNet_Y_1_6GF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_Y_1_6GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_Y_1_6GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_Y_1_6GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_Y_1_6GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_Y_1_6GF_Weights
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.. autoclass:: torchvision.models.RegNet_Y_1_6GF_Weights
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:members:
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"""
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weights = RegNet_Y_1_6GF_Weights.verify(weights)
@@ -1009,16 +1009,16 @@ def regnet_y_3_2gf(*, weights: Optional[RegNet_Y_3_2GF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_Y_3_2GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_Y_3_2GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_Y_3_2GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_Y_3_2GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_Y_3_2GF_Weights
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.. autoclass:: torchvision.models.RegNet_Y_3_2GF_Weights
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:members:
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"""
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weights = RegNet_Y_3_2GF_Weights.verify(weights)
@@ -1036,16 +1036,16 @@ def regnet_y_8gf(*, weights: Optional[RegNet_Y_8GF_Weights] = None, progress: bo
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_Y_8GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_Y_8GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_Y_8GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_Y_8GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_Y_8GF_Weights
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.. autoclass:: torchvision.models.RegNet_Y_8GF_Weights
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:members:
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"""
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weights = RegNet_Y_8GF_Weights.verify(weights)
@@ -1063,16 +1063,16 @@ def regnet_y_16gf(*, weights: Optional[RegNet_Y_16GF_Weights] = None, progress:
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_Y_16GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_Y_16GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_Y_16GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_Y_16GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_Y_16GF_Weights
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.. autoclass:: torchvision.models.RegNet_Y_16GF_Weights
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:members:
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"""
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weights = RegNet_Y_16GF_Weights.verify(weights)
@@ -1090,16 +1090,16 @@ def regnet_y_32gf(*, weights: Optional[RegNet_Y_32GF_Weights] = None, progress:
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_Y_32GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_Y_32GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_Y_32GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_Y_32GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_Y_32GF_Weights
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.. autoclass:: torchvision.models.RegNet_Y_32GF_Weights
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:members:
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"""
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weights = RegNet_Y_32GF_Weights.verify(weights)
@@ -1117,16 +1117,16 @@ def regnet_y_128gf(*, weights: Optional[RegNet_Y_128GF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_Y_128GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_Y_128GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_Y_128GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_Y_128GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_Y_128GF_Weights
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.. autoclass:: torchvision.models.RegNet_Y_128GF_Weights
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:members:
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"""
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weights = RegNet_Y_128GF_Weights.verify(weights)
@@ -1144,16 +1144,16 @@ def regnet_x_400mf(*, weights: Optional[RegNet_X_400MF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_X_400MF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_X_400MF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_X_400MF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_X_400MF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_X_400MF_Weights
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.. autoclass:: torchvision.models.RegNet_X_400MF_Weights
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:members:
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"""
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weights = RegNet_X_400MF_Weights.verify(weights)
@@ -1169,16 +1169,16 @@ def regnet_x_800mf(*, weights: Optional[RegNet_X_800MF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_X_800MF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_X_800MF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_X_800MF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_X_800MF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_X_800MF_Weights
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.. autoclass:: torchvision.models.RegNet_X_800MF_Weights
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:members:
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"""
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weights = RegNet_X_800MF_Weights.verify(weights)
@@ -1194,16 +1194,16 @@ def regnet_x_1_6gf(*, weights: Optional[RegNet_X_1_6GF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_X_1_6GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_X_1_6GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_X_1_6GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_X_1_6GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_X_1_6GF_Weights
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.. autoclass:: torchvision.models.RegNet_X_1_6GF_Weights
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:members:
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Args:
@@ -1223,16 +1223,16 @@ def regnet_x_3_2gf(*, weights: Optional[RegNet_X_3_2GF_Weights] = None, progress
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_X_3_2GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_X_3_2GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_X_3_2GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_X_3_2GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_X_3_2GF_Weights
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.. autoclass:: torchvision.models.RegNet_X_3_2GF_Weights
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:members:
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Args:
@@ -1252,16 +1252,16 @@ def regnet_x_8gf(*, weights: Optional[RegNet_X_8GF_Weights] = None, progress: bo
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_X_8GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_X_8GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_X_8GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_X_8GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_X_8GF_Weights
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.. autoclass:: torchvision.models.RegNet_X_8GF_Weights
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:members:
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Args:
@@ -1281,16 +1281,16 @@ def regnet_x_16gf(*, weights: Optional[RegNet_X_16GF_Weights] = None, progress:
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_X_16GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_X_16GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_X_16GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_X_16GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_X_16GF_Weights
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.. autoclass:: torchvision.models.RegNet_X_16GF_Weights
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:members:
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Args:
@@ -1310,16 +1310,16 @@ def regnet_x_32gf(*, weights: Optional[RegNet_X_32GF_Weights] = None, progress:
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`Designing Network Design Spaces <https://arxiv.org/abs/2003.13678>`_.
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Args:
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weights (:class:`torchvision.models.regnet.RegNet_X_32GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.regnet.RegNet_X_32GF_Weights` below for more details and possible values.
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weights (:class:`~torchvision.models.RegNet_X_32GF_Weights`, optional): The pretrained weights to use.
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See :class:`~torchvision.models.RegNet_X_32GF_Weights` below for more details and possible values.
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By default, no pretrained weights are used.
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progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True.
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**kwargs: parameters passed to either ``torchvision.models.regnet.RegNet`` or
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``torchvision.models.regnet.BlockParams`` class. Please refer to the `source code
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<https://github.com/pytorch/vision/blob/main/torchvision/models/regnet.py>`_
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for more detail about the classes.
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.. autoclass:: torchvision.models.regnet.RegNet_X_32GF_Weights
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.. autoclass:: torchvision.models.RegNet_X_32GF_Weights
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:members:
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Args:

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