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Update feed_forward.py (#305)

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Dario Coscia
2024-06-07 18:07:24 +02:00
committed by GitHub
parent aef134cfb3
commit 89ee010a94
1 changed files with 2 additions and 2 deletions
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pina/model/feed_forward.py
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@@ -20,7 +20,7 @@ class FeedForward(torch.nn.Module):
:param int inner_size: number of neurons in the hidden layer(s). Default is :param int inner_size: number of neurons in the hidden layer(s). Default is
20. 20.
:param int n_layers: number of hidden layers. Default is 2. :param int n_layers: number of hidden layers. Default is 2.
:param func: the activation function to use. If a single :param torch.nn.Module func: the activation function to use. If a single
:class:`torch.nn.Module` is passed, this is used as activation function :class:`torch.nn.Module` is passed, this is used as activation function
after any layers, except the last one. If a list of Modules is passed, after any layers, except the last one. If a list of Modules is passed,
they are used as activation functions at any layers, in order. they are used as activation functions at any layers, in order.
@@ -116,7 +116,7 @@ class ResidualFeedForward(torch.nn.Module):
:param int inner_size: number of neurons in the hidden layer(s). Default is :param int inner_size: number of neurons in the hidden layer(s). Default is
20. 20.
:param int n_layers: number of hidden layers. Default is 2. :param int n_layers: number of hidden layers. Default is 2.
:param func: the activation function to use. If a single :param torch.nn.Module func: the activation function to use. If a single
:class:`torch.nn.Module` is passed, this is used as activation function :class:`torch.nn.Module` is passed, this is used as activation function
after any layers, except the last one. If a list of Modules is passed, after any layers, except the last one. If a list of Modules is passed,
they are used as activation functions at any layers, in order. they are used as activation functions at any layers, in order.