keraflow.layers.base.SequentialLayer Class Reference

Class for making Sequential a Layer. More...

Inheritance diagram for keraflow.layers.base.SequentialLayer:

Public Member Functions
def	__init__
def	add
	Append a layer to the layers stack. More...
def	get_output_kensor
	Get the output_kensor. More...
def	pack_init_param
	Check keraflow.utils.generic_utils.serialize.
Public Member Functions inherited from keraflow.layers.base.Layer
def	__init__
def	set_trainable_params
	Register the layer's trainable parameters. More...
def	input_dimension
	Return the expected dimension of input tensor. More...
def	check_input_shape
	Check if the input shape(s) are valid. More...
def	init_param
	Initializes trainable parameter(s) of the layer. More...
def	output
	Calculates the output tensor of the layer given the input tensor(s). More...
def	output_shape
	Calculates the shape of the output tensor given the shape of the input tensor(s). More...
def	support_mask
	Whether the layer supports to carry on to the output tensor the mask embedded in input tensor. More...
def	pack_init_param
	Check keraflow.utils.generic_utils.serialize.
def	get_tensor_shape
	Get the shape of a tensor. More...
def	get_weights
	Gets trainable parameter name, value (numpy arrays) pairs. More...
def	embed
	Embeds the target layer such that its trainable parameters (along with regularizers and constraints on the parameters) are treated as the host layer's parameters and are updated during traing process. More...
def	__call__
	Feed an input kensor or multiple input kensors to the layer and outputs another Kensor. More...

Static Public Member Functions
def	unpack_init_param
	Check keraflow.utils.generic_utils.unserialize. More...
Static Public Member Functions inherited from keraflow.layers.base.Layer
def	unpack_init_param
	Check keraflow.utils.generic_utils.unserialize. More...

Detailed Description

Class for making Sequential a Layer.

This class is inherited by Sequential. Use Sequential instead of this class.

Constructor & Destructor Documentation

def keraflow.layers.base.SequentialLayer.__init__	(		self,
			layers = [],
			kwargs
	)

Parameters

layers	list of Layer.
kwargs	see Layer.__init__

Member Function Documentation

def keraflow.layers.base.SequentialLayer.add	(		self,
			layer
	)

Append a layer to the layers stack.

def keraflow.layers.base.SequentialLayer.get_output_kensor

(

self

)

Get the output_kensor.

This requires the first layer be an Input.

def keraflow.layers.base.SequentialLayer.unpack_init_param (   init_config )

static

Check keraflow.utils.generic_utils.unserialize.

Parameters

init_config

dict. The result from pack_init_param