tf.raw_ops.TridiagonalMatMul
Calculate product with tridiagonal matrix.
tf.raw_ops.TridiagonalMatMul(
superdiag, maindiag, subdiag, rhs, name=None
)
Calculates product of two matrices, where left matrix is a tridiagonal matrix.
| Args | |
|---|---|
superdiag |
A Tensor. Must be one of the following types: float64, float32, complex64, complex128. Tensor of shape [..., 1, M], representing superdiagonals of tri-diagonal matrices to the left of multiplication. Last element is ignored. |
maindiag |
A Tensor. Must have the same type as superdiag. Tensor of shape [..., 1, M], representing main diagonals of tri-diagonal matrices to the left of multiplication. |
subdiag |
A Tensor. Must have the same type as superdiag. Tensor of shape [..., 1, M], representing subdiagonals of tri-diagonal matrices to the left of multiplication. First element is ignored. |
rhs |
A Tensor. Must have the same type as superdiag. Tensor of shape [..., M, N], representing MxN matrices to the right of multiplication. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor. Has the same type as superdiag. |
© 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/r2.3/api_docs/python/tf/raw_ops/TridiagonalMatMul