From ae5b88cc352aa0910c2a354d4c5a22dfa9ba7e20 Mon Sep 17 00:00:00 2001
From: Travis CI
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.
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.
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