dlpy.layers.ChannelShuffle

class dlpy.layers.ChannelShuffle(name=None, n_groups=1, scale=1.0, src_layers=None, **kwargs)

Channel Shuffle layer

Parameters
namestring, optional

Specifies the name of the layer.

n_groupsinteger, optional

Specifies the number of groups for the layer. Default: 1

scaledouble, optional

Specifies the scale factor to be applied to the number of channels. Default: 1

src_layersiter-of-Layers, optional

Specifies the layers directed to this layer.

Returns
ChannelShuffle
__init__(name=None, n_groups=1, scale=1.0, src_layers=None, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([name, n_groups, scale, src_layers])

Initialize self.

count_instances()

format_name([block_num, local_count])

Format the name of the layer

get_number_of_instances()

to_model_params()

Convert the model configuration to CAS action parameters

Attributes

can_be_last_layer

kernel_size

layer_id

num_bias

num_weights

number_of_instances

output_size

rnn_summary

Return a DataFrame containing the layer information for rnn models

summary

Return a DataFrame containing the layer information

type

type_desc

type_label