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paddle.linalg. det ( x: Tensor, name: str | None = None ) → Tensor [source]

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Calculates determinant value of a square matrix or batches of square matrices.

Parameters

• x (Tensor) – the input matrix of size (n, n) or the batch of matrices of size (*, n, n) where * is one or more batch dimensions.

• name (str|None, optional) – Name of the output.It’s used to print debug info for developers. Details: Name. Default is None.

Returns

Tensor, the determinant value of a square matrix or batches of square matrices.

Examples

>>> import paddle
>>> paddle.seed(2023)
>>> x =  paddle.randn([3,3,3])
>>> A = paddle.linalg.det(x)
>>> print(A)
Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True,
[-1.29280925,  0.77832544,  0.89754158])