Computes the Cholesky decomposition of one or more square matrices.
tf.linalg.cholesky( input: Annotated[Any, TV_Cholesky_T], name=None ) -> Annotated[Any, TV_Cholesky_T] Used in the notebooks
| Used in the tutorials |
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The input is a tensor of shape [..., M, M] whose inner-most 2 dimensions form square matrices.
The input has to be symmetric and positive definite. Only the lower-triangular part of the input will be used for this operation. The upper-triangular part will not be read.
The output is a tensor of the same shape as the input containing the Cholesky decompositions for all input submatrices [..., :, :].
Args | |
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input | A Tensor. Must be one of the following types: float64, float32, half, complex64, complex128. Shape is [..., M, M]. |
name | A name for the operation (optional). |
Returns | |
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A Tensor. Has the same type as input. |