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# PyTorch torch.std Function * * Pytorch torch Reference Manual](#) `torch.std` is a function in PyTorch used to return the standard deviation of a tensor. Standard deviation is the square root of variance, measuring the dispersion of data. ### Function Definition torch.std(input, dim, unbiased, keepdim=False) * * * ## Usage Examples ## Example import torch x = torch.tensor([1.0,2.0,3.0,4.0,5.0]) # Return standard deviation of all elements print("Standard deviation:", torch.std(x)) # Standard deviation along dim=0 y = torch.tensor([[1.0,2.0,3.0],[4.0,5.0,6.0]]) print("dim=0 standard deviation:", torch.std(y, dim=0)) print("dim=1 standard deviation:", torch.std(y, dim=1)) Output result: Standard deviation: tensor(1.5811) dim=0 standard deviation: tensor([1.5000, 1.5000, 1.5000]) dim=1 standard deviation: tensor([1.0000, 1.0000]) * * Pytorch torch Reference Manual](#)