Identity functions can come up in certain programming applications. For example, when training a Machine Learning model using the backpropagation algorithm, one may want to explicitly control the flow of gradients during the backwards pass. In ML frameworks that provide automatic differentiation, there often exists a dedicated function for stopping the gradient. During the forward pass it essentially acts as the identity function, whereas in the backwards pass it will prevent any gradients from passing through the particular operation.
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