tf.cholesky
tf.cholesky
tf.cholesky
cholesky( input, name=None )
Defined in tensorflow/python/ops/gen_linalg_ops.py
.
See the guide: Math > Matrix Math Functions
Computes the Cholesky decomposition of one or more square matrices.
The input is a tensor of shape [..., M, M]
whose inner-most 2 dimensions form square matrices, with the same constraints as the single matrix Cholesky decomposition above. The output is a tensor of the same shape as the input containing the Cholesky decompositions for all input submatrices [..., :, :]
.
Args:
-
input
: ATensor
. Must be one of the following types:float64
,float32
. Shape is[..., M, M]
. -
name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as input
. Shape is [..., M, M]
.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/cholesky