Task Execution Routines

Task execution routines compute convolution or correlation results based on parameters held by the task descriptor and on the user data supplied for input vectors.

After you create and adjust a task, you can execute it multiple times by applying to different input/output data of the same type, precision, and shape.

Intel® oneAPI Math Kernel Library provides the following forms of convolution/correlation execution routines:

• General form executors that use the task descriptor created by the general form constructor and expect to get two source data arrays x and y on input

• X-form executors that use the task descriptor created by the X-form constructor and expect to get only one source data array y on input because the first array x has been already specified on the construction stage

When the task is executed for the first time, the execution routine includes a task commitment operation, which involves two basic steps: parameters consistency check and preparation of auxiliary data (for example, this might be the calculation of Fourier transform for input data).

Each execution routine has an associated one-dimensional version that provides algorithmic and computational benefits.

If the task is executed successfully, the execution routine returns the zero status code. If an error is detected, the execution routine returns an error code which signals that a specific error has occurred. In particular, an error status code is returned in the following cases:

• if the task pointer is NULL

• if the task descriptor is corrupted

• if calculation has failed for some other reason.

If an error occurs, the task descriptor stores the error code.

The table below lists all task execution routines.