What is FunctionNode in chainer explain with example

This recipe explains what is FunctionNode in chainer with example

Recipe Objective - What is FunctionNode explain with example?

FunctionNode represents the node in a computational graph.

The node relates to a utilization of a differentiable capacity to include variables.

At the point when a differentiable capacity is applied to a Variable object, it makes an example of "FunctionNode" execution and calls its "apply()" strategy.

The apply() technique fundamentally does the accompanying three things.

1. Adding an edge from the function node to the variable node corresponding to each input.

2. Computing the output arrays of the function.

3. Creating a "Variable" object for each output array.

Example:-

# x is the instance of "variable" and funNd is the instance of "FunctionNode"
import numpy, chainer
x_var = chainer.Variable(numpy.zeros(10))
funNd = chainer.functions.math.identity.Identity()
y = funNd.apply((x_var,))[0]

g_node = chainer.functions.math.identity.Identity()
z = g_node.apply((x_var,))[0]
z

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