src.model.deeplearn.layer.torf_element_divide_layer

Classes

TORFElementDivideLayer(*args, **kwargs)

class src.model.deeplearn.layer.torf_element_divide_layer.TORFElementDivideLayer(*args, **kwargs)

Author:

Alberto M. Esmoris Pena

Element-wise division of two tensors.

Given a list [A, B] of two tensors with broadcastable shapes, computes \(\mathbf{A} \oslash \mathbf{B}\) (element-wise).

__init__(**kwargs)

See Layer and Layer.__init__().

call(inputs, training=False, mask=False)

Divide the first input tensor by the second.

Parameters:

inputs – List of two tensors [numerator, denominator].

Returns:

The element-wise quotient tensor.

get_config()

Return necessary data to deserialize the layer.

classmethod from_config(config)

Use given config data to deserialize the layer.