未验证 提交 1566af8a 编写于 作者: Z zhangchao 提交者: GitHub

Merge pull request #7301 from peterzhang2029/conv_group_fix

Fix the docstring of 'filter groups' in img_conv_layer.
......@@ -2542,15 +2542,21 @@ def img_conv_layer(input,
what-are-deconvolutional-layers/>`_ .
The num_channel means input image's channel number. It may be 1 or 3 when
input is raw pixels of image(mono or RGB), or it may be the previous layer's
num_filters * num_group.
num_filters.
There are several groups of filters in PaddlePaddle implementation.
Each group will process some channels of the input. For example, if
num_channel = 256, group = 4, num_filter=32, the PaddlePaddle will create
32*4 = 128 filters to process the input. The channels will be split into 4
pieces. First 256/4 = 64 channels will be processed by first 32 filters. The
rest channels will be processed by the rest groups of filters.
If the groups attribute is greater than 1, for example groups=2,
the input will be splitted into 2 parts along the channel axis, and
the filters will also be splitted into 2 parts. 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. After
the computation of convolution for each part of input,
the output will be obtained by concatenating the two results.
The details of grouped convolution, please refer to:
`ImageNet Classification with Deep Convolutional Neural Networks
<http://www.cs.toronto.edu/~kriz/imagenet_classification_with_deep_convolutional.pdf>`_
The example usage is:
.. code-block:: python
......@@ -2575,7 +2581,8 @@ def img_conv_layer(input,
:param filter_size_y: The dimension of the filter kernel on the y axis. If the parameter
is not set, it will be set automatically according to filter_size.
:type filter_size_y: int
:param num_filters: Each filter group's number of filter
:param num_filters: The number of filters. It is as same as the output image channel.
:type num_filters: int
:param act: Activation type. ReluActivation is the default activation.
:type act: BaseActivation
:param groups: The group number. 1 is the default group number.
......@@ -7177,7 +7184,7 @@ def img_conv3d_layer(input,
:param filter_size: The dimensions of the filter kernel along three axises. If the parameter
is set to one integer, the three dimensions will be same.
:type filter_size: int | tuple | list
:param num_filters: The number of filters in each group.
:param num_filters: The number of filters. It is as same as the output image channel.
:type num_filters: int
:param act: Activation type. ReluActivation is the default activation.
:type act: BaseActivation
......
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