The execution of forward function can change according to inference time and train time depending on how the neural network is defined and implemented. For example, some neural networks may have different forward functions for training and testing, or some layers or operations may be only used for training and not for inference. In general, the forward function computes the network output given an input during training, while the predict function computes the network output given an input during inference.
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