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# PyTorch torch.det Function * * PyTorch torch Reference Manual](#) `torch.det` is a PyTorch function used to calculate the determinant of a square matrix. ### Function Definition torch.det(input) * * * ## Usage Examples ## Example import torch # Create 2x2 matrix a = torch.tensor([[1.0,2.0],[3.0,4.0]]) # Calculate determinant y = torch.det(a) print(y) Output result: tensor(-2.) * * * ## torch.logdet Function `torch.logdet` is a PyTorch function used to calculate the logarithm of the determinant. When the determinant is positive, it returns log(det); when the determinant is negative or complex, the handling differs. ### Function Definition torch.logdet(input) * * * ## Usage Examples ## Example import torch # Create 2x2 matrix a = torch.tensor([[1.0,2.0],[3.0,4.0]]) # Calculate logarithm of determinant y = torch.logdet(a) print(y) Output result: tensor(nan) * * PyTorch torch Reference Manual](#)