Description: Performs orthogonal decomposition on the input tensor.
Formula:
[object Object] is the input tensor with at least two dimensions. [object Object] can be expressed as the product of the orthogonal matrix [object Object] and the upper triangular matrix [object Object].
- Example:
Each operator has calls. First, [object Object] is called to obtain the workspace size required for computation and the executor that contains the operator computation process. Then, [object Object] is called to perform computation.
[object Object][object Object]
Parameters:
[object Object](aclTensor*, computation input):[object Object]in the formula. The data type can be FLOAT, FLOAT16, DOUBLE, COMPLEX64, or COMPLEX128. are supported. The can be ND. The shape supports 2 to 8 dimensions, and is represented as [..., M, N], where[object Object]indicates 0 to 6 dimensions.[object Object](bool, computation input): determines whether[object Object]is a square matrix. If this parameter is set to[object Object],[object Object]is a square matrix. For example, if[object Object]is [..., M, N], the complete Q[..., M, M] and R[..., M, N] are output. If this parameter is set to[object Object],[object Object]is a skinny matrix. For example, if[object Object]is [..., M, N], Q[..., M, K] and R[..., K, N] are output, where[object Object]is the minimum value of[object Object]and[object Object].[object Object](aclTensor*, computation output):[object Object]in the formula. The data type can be FLOAT, FLOAT16, DOUBLE, COMPLEX64, or COMPLEX128. are supported. The can be ND and must be the same as that of[object Object]and[object Object]. For details about the shape restrictions, see the description of the[object Object]parameter.[object Object](aclTensor*, computation output):[object Object]in the formula. The data type can be FLOAT, FLOAT16, DOUBLE, COMPLEX64, or COMPLEX128. are supported. The can be ND and must be the same as that of[object Object]and[object Object]. For details about the shape restrictions, see the description of the[object Object]parameter.[object Object](uint64_t *, output): size of the workspace to be allocated on the device.[object Object](aclOpExecutor **, output): operator executor, containing the operator computation process.
Returns:
Parameters:
[object Object](void *, input): memory address of the workspace to be allocated on the device.[object Object](uint64_t, input): size of the workspace to be allocated on the device, which is obtained by calling the first-phase API[object Object].[object Object](aclOpExecutor *, input): operator executor, containing the operator computation process.[object Object](aclrtStream, input): stream for executing the task.
Returns:
- Deterministic computation:
[object Object]defaults to a deterministic implementation.
The following example is for reference only. For details, see .