From 1b1217732e4d8c5b750fb06d4dfa877f039b3bf5 Mon Sep 17 00:00:00 2001 From: Bai Yifan Date: Tue, 13 Oct 2020 15:08:47 +0800 Subject: [PATCH] fix deform_conv2d doc, test=document_fix (#27873) --- python/paddle/static/nn/common.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/python/paddle/static/nn/common.py b/python/paddle/static/nn/common.py index 93a603f4770..44f0a73fa42 100644 --- a/python/paddle/static/nn/common.py +++ b/python/paddle/static/nn/common.py @@ -229,7 +229,7 @@ def deform_conv2d(x, float32, float64. offset (Tensor): The input coordinate offset of deformable convolution layer. A Tensor with type float32, float64. - Mask (Tensor, Optional): The input mask of deformable convolution layer. + mask (Tensor, Optional): The input mask of deformable convolution layer. A Tensor with type float32, float64. It should be None when you use deformable convolution v1. num_filters(int): The number of filter. It is as same as the output @@ -237,23 +237,23 @@ def deform_conv2d(x, filter_size (int|tuple): The filter size. If filter_size is a tuple, it must contain two integers, (filter_size_H, filter_size_W). Otherwise, the filter will be a square. - stride (int|tuple): The stride size. If stride is a tuple, it must + stride (int|tuple, Optional): The stride size. If stride is a tuple, it must contain two integers, (stride_H, stride_W). Otherwise, the stride_H = stride_W = stride. Default: stride = 1. - padding (int|tuple): The padding size. If padding is a tuple, it must + padding (int|tuple, Optional): The padding size. If padding is a tuple, it must contain two integers, (padding_H, padding_W). Otherwise, the padding_H = padding_W = padding. Default: padding = 0. - dilation (int|tuple): The dilation size. If dilation is a tuple, it must + dilation (int|tuple, Optional): The dilation size. If dilation is a tuple, it must contain two integers, (dilation_H, dilation_W). Otherwise, the dilation_H = dilation_W = dilation. Default: dilation = 1. - groups (int): The groups number of the deformable conv layer. According to + groups (int, Optional): The groups number of the deformable conv 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. - deformable_groups (int): The number of deformable group partitions. + deformable_groups (int, Optional): The number of deformable group partitions. Default: deformable_groups = 1. - im2col_step (int): Maximum number of images per im2col computation; + im2col_step (int, Optional): Maximum number of images per im2col computation; The total batch size should be devisable by this value or smaller than this value; if you face out of memory problem, you can try to use a smaller value here. -- GitLab