On this page
tf.contrib.distributions.fill_triangular_inverse
Creates a vector from a (batch of) triangular matrix.
tf.contrib.distributions.fill_triangular_inverse(
x, upper=False, name=None
)
The vector is created from the lower-triangular or upper-triangular portion depending on the value of the parameter upper
.
If x.shape
is [b1, b2, ..., bB, n, n]
then the output shape is [b1, b2, ..., bB, d]
where d = n (n + 1) / 2
.
Example:
fill_triangular_inverse(
[[4, 0, 0],
[6, 5, 0],
[3, 2, 1]])
# ==> [1, 2, 3, 4, 5, 6]
fill_triangular_inverse(
[[1, 2, 3],
[0, 5, 6],
[0, 0, 4]], upper=True)
# ==> [1, 2, 3, 4, 5, 6]
Args | |
---|---|
x |
Tensor representing lower (or upper) triangular elements. |
upper |
Python bool representing whether output matrix should be upper triangular (True ) or lower triangular (False , default). |
name |
Python str . The name to give this op. |
Returns | |
---|---|
flat_tril |
(Batch of) vector-shaped Tensor representing vectorized lower (or upper) triangular elements from x . |
© 2020 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/versions/r1.15/api_docs/python/tf/contrib/distributions/fill_triangular_inverse