Method for task scheduling and verification for artificial intelligence models and computing device operating the same

A computing device for task scheduling and verification for an artificial intelligence model, comprising:

• a memory;
• a transceiver configured to receive information about at least one variable used in a first pipeline or information about workload execution specifications from a user device;
• and
• at least one processor for artificial intelligence calculation,
• wherein the processor is further configured to:
• generate a task graph for the first pipeline of the artificial intelligence model, wherein the task graph includes a plurality of nodes and at least one edge;
• verify the task graph, based on the plurality of nodes and the at least one edge;
• when the task graph is verified, schedule at least one first workload corresponding to a non-dependent node by using a topological sort algorithm;
• execute the at least one first workload;
• schedule at least one second workload corresponding to a node where dependency with the at least one first workload is released;
• execute the at least one second workload;
• and
• when all of a plurality of workloads corresponding to the plurality of nodes included in the task graph are performed, deploy the artificial intelligence model to the user device.

A non-transitory computer-readable recording medium having recorded thereon a computer program for executing a method for task scheduling and verification for an artificial intelligence model, the method comprising:

• generating a task graph for a first pipeline of the artificial intelligence model, wherein the task graph includes a plurality of nodes and at least one edge;
• verifying the task graph, based on the plurality of nodes and the at least one edge;
• when the task graph is verified, scheduling at least one first workload corresponding to a non-dependent node by using a topological sort algorithm;
• executing the at least one first workload;
• scheduling at least one second workload corresponding to a node where dependency with the at least one first workload is released;
• executing the at least one second workload;
• and
• when all of a plurality of workloads corresponding to the plurality of nodes included in the task graph are performed, deploying the artificial intelligence model to a user device.