Permute3D

Description

Define the permute 3D layer according to its parameters. To be used for the TimeDistributed layer. Type : polymorphic.

Input parameters

Output parameters

Permute3D out : layer permute 3D architecture.

Example

All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install HAIBAL library to run it).

1 – Generate a set of data

We generate an array of data of type single and shape [batch size = 10, time = 6, channels = 7, width = 5].

2 – Define graph

First, we define the first layer of the graph which is an Input layer (explicit input layer method). This layer is setup as an input array shaped [time = 6, channels = 7, width = 5].
Then, we add to the graph the TimeDistributed layer which we setup with a Permute3D layer using the define method.

3 – Run graph

We call the forward method and retrieve the result with the “Prediction 4D” method.
This method returns two variables, the first one is the layer information (cluster composed of the layer name, the graph index and the shape of the output layer) and the second one is the prediction with a shape of [batch_size, time, width, channels].