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
-
__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