tf.linalg.lu_reconstruct | TensorFlow v2.16.1 (original) (raw)
tf.linalg.lu_reconstruct
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The reconstruct one or more matrices from their LU decomposition(s).
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.linalg.lu_reconstruct
tf.linalg.lu_reconstruct(
lower_upper, perm, validate_args=False, name=None
)
| Args | |
|---|---|
| lower_upper | lu as returned by tf.linalg.lu, i.e., if matmul(P, matmul(L, U)) = X then lower_upper = L + U - eye. |
| perm | p as returned by tf.linag.lu, i.e., if matmul(P, matmul(L, U)) = X then perm = argmax(P). |
| validate_args | Python bool indicating whether arguments should be checked for correctness. Default value: False (i.e., don't validate arguments). |
| name | Python str name given to ops managed by this object. Default value: None (i.e., 'lu_reconstruct'). |
| Returns | |
|---|---|
| x | The original input to tf.linalg.lu, i.e., x as in,lu_reconstruct(*tf.linalg.lu(x)). |
Examples
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
x = [[[3., 4], [1, 2]],
[[7., 8], [3, 4]]]
x_reconstructed = tf.linalg.lu_reconstruct(*tf.linalg.lu(x))
tf.assert_near(x, x_reconstructed)
# ==> True
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Last updated 2024-04-26 UTC.