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fix typos #59679

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merged 2 commits into from
Dec 5, 2023
Merged

fix typos #59679

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30ae2ab
fix typos, test=document_fix
GreatV Dec 5, 2023
c760356
fix typos, test=document_fix
GreatV Dec 5, 2023
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8 changes: 4 additions & 4 deletions python/paddle/nn/layer/conv.py
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Expand Up @@ -601,7 +601,7 @@ class Conv2D(_ConvNd):
out_channels(int): The number of output channels produced by the convolution.
kernel_size(int|list|tuple): The size of the convolving kernel.
stride(int|list|tuple, optional): The stride size. If stride is a list/tuple, it must
contain three integers, (stride_H, stride_W). Otherwise, the
contain two integers, (stride_H, stride_W). Otherwise, the
stride_H = stride_W = stride. The default value is 1.
padding(int|str|tuple|list, optional): The padding size. Padding coule be in one of the following forms.
1. a string in ['valid', 'same'].
Expand All @@ -611,9 +611,9 @@ class Conv2D(_ConvNd):
5. a list or tuple of pairs of ints. It has the form [[pad_before, pad_after], [pad_before, pad_after], ...]. Note that, the batch dimension and channel dimension are also included. Each pair of integers correspond to the amount of padding for a dimension of the input. Padding in batch dimension and channel dimension should be [0, 0] or (0, 0).
The default value is 0.
dilation(int|list|tuple, optional): The dilation size. If dilation is a list/tuple, it must
contain three integers, (dilation_D, dilation_H, dilation_W). Otherwise, the
dilation_D = dilation_H = dilation_W = dilation. The default value is 1.
groups(int, optional): The groups number of the Conv3D Layer. According to grouped
contain two integers, (dilation_H, dilation_W). Otherwise, the
dilation_H = dilation_W = dilation. The default value is 1.
groups(int, optional): The groups number of the Conv2D Layer. According to grouped
convolution in Alex Krizhevsky's Deep CNN paper: when group=2,
the first half of the filters is only connected to the first half
of the input channels, while the second half of the filters is only
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2 changes: 1 addition & 1 deletion python/paddle/static/nn/common.py
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Expand Up @@ -860,7 +860,7 @@ def conv2d(
of conv2d. If it is set to None or one attribute of ParamAttr, conv2d
will create ParamAttr as param_attr. If the Initializer of the param_attr
is not set, the parameter is initialized with :math:`Normal(0.0, std)`,
and the :math:`std` is :math:`(\\frac{2.0 }{filter\_elem\_num})^{0.5}`. Default: None.
and the :math:`std` is :math:`(\frac{2.0 }{filter\_elem\_num})^{0.5}`. Default: None.
bias_attr (ParamAttr|bool|None, optional): The parameter attribute for the bias of conv2d.
If it is set to False, no bias will be added to the output units.
If it is set to None or one attribute of ParamAttr, conv2d
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