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# PyTorch torch.quantile Function * * PyTorch torch Reference](#) `torch.quantile` is a function in PyTorch used to return quantiles of a tensor. Quantiles are values that divide data into proportional segments. ### Function Definition torch.quantile(input, q, dim, keepdim=False) * * * ## Example Usage ## Example import torch x = torch.tensor([1,2,3,4,5,6,7,8,9,10]) # Returns 0.5 Quantile (Median) print("0.5 Quantile:", torch.quantile(x,0.5)) # Return Multiple Quantiles print("0.25, 0.75 Quantile:", torch.quantile(x, torch.tensor([0.25,0.75]))) # Along dim=0 Quantile y = torch.tensor([[1,2,3],[4,5,6]]) print("dim=0 0.5 Quantile:", torch.quantile(y,0.5, dim=0)) Output result: 0.5 Quantile: tensor(5.5000)0.25, 0.75 Quantile: tensor([2.7500, 7.7500]) dim=0 0.5 Quantile: tensor([2.5000, 3.5000, 4.5000]) * * PyTorch torch Reference](#)