YouTipPytorch Torch Linalg Eigvals
# PyTorch torch.linalg.eigvals Function
* * Pytorch torch Reference Manual](#)
`torch.linalg.eigvals` is a function in PyTorch's linear algebra module used to compute the eigenvalues of a square matrix. It returns only the eigenvalues and does not compute eigenvectors, making it more efficient than `torch.linalg.eig`.
### Function Definition
torch.linalg.eigvals(A, out=None)
**Parameters**:
* `A` (Tensor): Input square matrix.
* `out` (Tensor, optional): Output tensor.
**Returns**:
* `torch.Tensor`: Returns eigenvalues.
* * *
## Usage Example
## Instance
import torch
# Create a square matrix
A = torch.tensor([[1.0,2.0],[3.0,4.0]], dtype=torch.complex128)
# Calculate eigenvalues
eigenvalues = torch.linalg.eigvals(A)
print("Matrix A:")
print(A)
print("nEigenvalues:")
print(eigenvalues)
Output:
Matrix A: tensor([[1., 2.], [3., 4.]], dtype=torch.complex128)Eigenvalues: tensor([-0.3723+0.j, 5.3723+0.j], dtype=torch.complex128)
* * Pytorch torch Reference Manual](#)