`torch.optim.lr_scheduler.LambdaLR` is a learning rate scheduler for PyTorch that applies a user-defined lambda function to adjust the learning rate during training. It allows for customizing the learning rate decay strategy by specifying a lambda function that takes the current epoch as input and returns the corresponding learning rate adjustment factor. This scheduler provides flexibility in dynamically modifying the learning rate based on the progress of the training process.
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