The `add_scalar` function of `tensorboardX.SummaryWriter` in Python is used to add a scalar value to a tensorboard summary. It takes two parameters: `tag` (a string specifying the name of the scalar) and `scalar_value` (a numeric value representing the scalar to be added). This function is commonly used to log and visualize scalar values during the training process of a machine learning model, such as loss or accuracy. The added scalar values can then be observed in the TensorBoard visualization tool.
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