From ae5b88cc352aa0910c2a354d4c5a22dfa9ba7e20 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Mon, 26 Feb 2018 11:30:17 +0000 Subject: [PATCH] Deploy to GitHub Pages: 087d8e7fae9d9f5b6a439a57ba293b71e5f2f901 --- develop/api_doc/fluid/layers.html | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/develop/api_doc/fluid/layers.html b/develop/api_doc/fluid/layers.html index c21e50b605..da4244623e 100644 --- a/develop/api_doc/fluid/layers.html +++ b/develop/api_doc/fluid/layers.html @@ -1719,7 +1719,7 @@ in the input parameters to the function.

conv2d

-paddle.fluid.layers.conv2d(input, num_filters, filter_size, stride=None, padding=None, groups=None, param_attr=None, bias_attr=None, use_cudnn=True, act=None)
+paddle.fluid.layers.conv2d(input, num_filters, filter_size, stride=1, padding=0, groups=None, param_attr=None, bias_attr=None, use_cudnn=True, act=None)

Convlution2D Layer

The convolution2D layer calculates the output based on the input, filter and strides, paddings, dilations, groups parameters. Input(Input) and @@ -1876,7 +1876,7 @@ It supports average, sum, sqrt and max.

pool2d

-paddle.fluid.layers.pool2d(input, pool_size, pool_type, pool_stride=None, pool_padding=None, global_pooling=False, use_cudnn=True, name=None)
+paddle.fluid.layers.pool2d(input, pool_size=-1, pool_type='max', pool_stride=1, pool_padding=0, global_pooling=False, use_cudnn=True, name=None)

This function adds the operator for pooling in 2 dimensions, using the pooling configurations mentioned in input parameters.

@@ -1959,7 +1959,7 @@ bias \(b\).

conv2d_transpose

-paddle.fluid.layers.conv2d_transpose(input, num_filters, output_size=None, filter_size=None, padding=None, stride=None, dilation=None, param_attr=None, use_cudnn=True, name=None)
+paddle.fluid.layers.conv2d_transpose(input, num_filters, output_size=None, filter_size=None, padding=0, stride=1, dilation=1, param_attr=None, use_cudnn=True, name=None)

Convlution2D transpose layer

The convolution2D transpose layer calculates the output based on the input, filter, and dilations, strides, paddings. Input(Input) and output(Output) -- GitLab