The reconstruct one or more matrices from their LU decomposition(s).
tf.linalg.lu_reconstruct( lower_upper, perm, validate_args=False, name=None )
Args | |
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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 | |
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x | The original input to tf.linalg.lu , i.e., x as in, lu_reconstruct(*tf.linalg.lu(x)) . |
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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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/linalg/lu_reconstruct