layers3.Layer

class layers3.Layer(*args, **kwargs)

Layer template. Implement some basic functions by override initialize, build and forward.

__init__(*args, **kwargs)

Default initialization. Not recommended to touch.

build(input_shape)

Creates the variables of the layer (optional, for subclass implementers).

This is a method that implementers of subclasses of Layer or Model can override if they need a state-creation step in-between layer instantiation and layer call.

This is typically used to create the weights of Layer subclasses.

Parameters:input_shape – Instance of TensorShape, or list of instances of TensorShape if the layer expects a list of inputs (one instance per input).

call(x, *args, **kwargs)

This is where the layer’s logic lives.

Parameters:

• inputs – Input tensor, or list/tuple of input tensors.
• **kwargs – Additional keyword arguments.

Returns:

A tensor or list/tuple of tensors.

forward(x, *args, **kwargs)

Alternative for call.

Parameters:x – Input tensor or numpy array. The object will be automatically converted to tensor if the input is np.array. Note that other arrays in args or kwargs will not be auto-converted.

initialize(*args, **kwargs)

Write initialization logic here.

This is a method to assign pre-defined parameters to the class.