From 552808378be6d609301aa596a3f76b38e9c25467 Mon Sep 17 00:00:00 2001 From: wangguanzhong Date: Tue, 7 Jun 2022 11:23:01 +0800 Subject: [PATCH] fix conv3d doc, test=document_fix (#43253) --- python/paddle/nn/functional/conv.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/python/paddle/nn/functional/conv.py b/python/paddle/nn/functional/conv.py index 26f07c2f9a..f1d66a9e3a 100644 --- a/python/paddle/nn/functional/conv.py +++ b/python/paddle/nn/functional/conv.py @@ -1244,10 +1244,10 @@ def conv3d(x, where M is the number of filters(output channels), g is the number of groups, kD, kH, kW are the filter's depth, height and width respectively. bias (Tensor, optional): The bias, a Tensor of shape [M, ]. - stride (int|list|tuple): The stride size. It means the stride in convolution. If stride is a + stride (int|list|tuple, optional): The stride size. It means the stride in convolution. If stride is a list/tuple, it must contain three integers, (stride_depth, stride_height, stride_width). Otherwise, stride_depth = stride_height = stride_width = stride. Default: stride = 1. - padding (string|int|list|tuple): The padding size. It means the number of zero-paddings + padding (string|int|list|tuple, optional): The padding size. It means the number of zero-paddings on both sides for each dimension. If `padding` is a string, either 'VALID' or 'SAME' which is the padding algorithm. If padding size is a tuple or list, it could be in three forms: `[pad_depth, pad_height, pad_width]` or @@ -1257,20 +1257,20 @@ def conv3d(x, when `data_format` is `"NDHWC"`, `padding` can be in the form `[[0,0], [pad_depth_front, pad_depth_back], [pad_height_top, pad_height_bottom], [pad_width_left, pad_width_right], [0,0]]`. Default: padding = 0. - dilation (int|list|tuple): The dilation size. It means the spacing between the kernel points. + dilation (int|list|tuple, optional): The dilation size. It means the spacing between the kernel points. If dilation is a list/tuple, it must contain three integers, (dilation_depth, dilation_height, dilation_width). Otherwise, dilation_depth = dilation_height = dilation_width = dilation. Default: dilation = 1. - groups (int): The groups number of the Conv3D Layer. According to grouped + groups (int, optional): The groups number of the Conv3D 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 connected to the second half of the input channels. Default: groups=1 data_format (str, optional): Specify the data format of the input, and the data format of the output - will be consistent with that of the input. An optional string from: `"NCHW"`, `"NHWC"`. - The default is `"NCHW"`. When it is `"NCHW"`, the data is stored in the order of: - `[batch_size, input_channels, input_height, input_width]`. - name(str|None): For detailed information, please refer + will be consistent with that of the input. An optional string from: `"NCDHW"`, `"NDHWC"`. + The default is `"NCDHW"`. When it is `"NCDHW"`, the data is stored in the order of: + `[batch_size, input_channels, input_depth, input_height, input_width]`. + name(str|None, optional): For detailed information, please refer to :ref:`api_guide_Name`. Usually name is no need to set and None by default. -- GitLab