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 | |
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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 | |
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A Tensor . Has the same type as superdiag . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/TridiagonalMatMul