neupy.layers.Transpose

class neupy.layers.Transpose[source]

Layer transposes input tensor. Permutes the dimensions according to the perm parameter.

Parameters:
perm : tuple or list

A permutation of the dimensions of the input tensor.

name : str or None

Layer’s name. Can be used as a reference to specific layer. When value specified as None than name will be generated from the class name. Defaults to None

Examples

>>> from neupy.layers import *
>>> network = Input((7, 11)) >> Transpose((0, 2, 1))
(?, 7, 11) -> [... 2 layers ...] -> (?, 11, 7)
Attributes:
variables : dict

Variable names and their values. Dictionary can be empty in case if variables hasn’t been created yet.

Methods

variable(value, name, shape=None, trainable=True) Initializes variable with specified values.
get_output_shape(input_shape) Computes expected output shape from the layer based on the specified input shape.
output(*inputs, **kwargs) Propagetes input through the layer. The kwargs variable might contain additional information that propages through the network.
fail_if_shape_invalid(input_shape)[source]
get_output_shape(input_shape)[source]
options = {'name': Option(class_name='BaseLayer', value=Property(name="name")), 'perm': Option(class_name='Transpose', value=TypedListProperty(name="perm"))}[source]
output(input, **kwargs)[source]
perm = None[source]