torch_ormqr: Ormqr
In torch: Tensors and Neural Networks with 'GPU' Acceleration
View source: R/gen-namespace.R
torch_ormqr R Documentation
Ormqr
Description
Ormqr
Usage
torch_ormqr(self, input2, input3, left = TRUE, transpose = FALSE)
Arguments
self
(Tensor) the a from torch_geqrf.
input2
(Tensor) the tau from torch_geqrf.
input3
(Tensor) the matrix to be multiplied.
left
see LAPACK documentation
transpose
see LAPACK documentation
ormqr(input, input2, input3, left=TRUE, transpose=False) -> Tensor
Multiplies mat (given by input3) by the orthogonal Q matrix of the QR factorization
formed by torch_geqrf() that is represented by (a, tau) (given by (input, input2)).
This directly calls the underlying LAPACK function ?ormqr.
torch documentation built on May 29, 2024, 9:54 a.m.
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View source: R/gen-namespace.R
| torch_ormqr | R Documentation |
Ormqr
Description
Ormqr
Usage
torch_ormqr(self, input2, input3, left = TRUE, transpose = FALSE)
Arguments
self |
(Tensor) the |
input2 |
(Tensor) the |
input3 |
(Tensor) the matrix to be multiplied. |
left |
see LAPACK documentation |
transpose |
see LAPACK documentation |
ormqr(input, input2, input3, left=TRUE, transpose=False) -> Tensor
Multiplies mat (given by input3) by the orthogonal Q matrix of the QR factorization
formed by torch_geqrf() that is represented by (a, tau) (given by (input, input2)).
This directly calls the underlying LAPACK function ?ormqr.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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