TensorFlow 1 version
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Computes the Cholesky decomposition of one or more square matrices.
tf.linalg.cholesky(
input, name=None
)
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
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A Tensor. Must be one of the following types: float64, float32, half, complex64, complex128.
Shape is [..., M, M].
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name
|
A name for the operation (optional). |
Returns | |
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A Tensor. Has the same type as input.
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