PyTorch torch.logdet Function
Pytorch torch Reference Manual
torch.logdetis a function in PyTorch used to compute the logarithm of the determinant of a matrix.
Function Definition
torch.logdet(input)
Usage Example
Example
import torch
# Create a square matrix
A = torch.tensor([[2.0, 1.0], [1.0, 3.0]])
# Compute the logarithm of the determinant
log_det = torch.logdet(A)
print("Log of determinant:", log_det)
# Create a square matrix
A = torch.tensor([[2.0, 1.0], [1.0, 3.0]])
# Compute the logarithm of the determinant
log_det = torch.logdet(A)
print("Log of determinant:", log_det)
The output result is:
行列式对数: tensor(1.6094)
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