vt::linalg::inv

template<typename T>
Tensor<T, 2> vt::linalg::inv(Tensor<T, 2> &tensor, cusolverDnHandle_t handle = cuda::cusolver.get_handle())

Compute the inverse of a 2D tensor. This method is based on CuSolver LU factorization and solve. Notice that the input tensor is copied to avoid overwriting.

Template Parameters:

T – Data type of the tensor.

Parameters:

• tensor – The tensor object to be inversed.

• handle – The CuSolver handle. The default is the global CuSolver handle.

Returns:

Tensor: The inverse tensor object.

template<typename T, size_t N>
Tensor<T, N> vt::linalg::inv(Tensor<T, N> &tensor, cublasHandle_t handle = cuda::cublas.get_handle())

Compute the inverse of a N-D tensor. This method is based on CuBLAS LU factorization and solve. Notice that the input tensor is copied to avoid overwriting.

Template Parameters:

• T – Data type of the tensor.

• N – Number of dimensions of the tensor.

Parameters:

• tensor – The tensor object to be inversed.

• handle – The CuBLAS handle. The default is the global CuBLAS handle.

Returns:

Tensor<T, N>: The inverse tensor object.