Method and user interface for training artificial neural network models in environment including multiple computing nodes

A computer program stored in a non-transitory computer readable storage medium for allowing a computing device to perform operations for training an artificial neural network model, the operations comprising:

• an operation of identifying a first computing node and a second computing node for training an artificial neural network model;
• an operation of identifying information related to a task previously allocated to the first computing node or the second computing node;
• an operation of generating idle computing resource information of the first computing node or the second computing node, based on the information related to the task previously allocated to the first computing node and the second computing node;
• an operation of acquiring information related to a first task for training the artificial neural network model, based on a user input, wherein the user input comprises at least one of a type of artificial neural network model to be used for training, information relating to the training data set, information relating to the batch size, or information relating to the backbone;
• an operation of dynamically allocating the first task to at least one of the first computing node or the second computing node, based on the idle computing resource information;
• an operation of exchanging information related to the first task and performing the training of the first task on one of the first or the second allocated computing node;
• and
• an operation of displaying a first user interface related to a task queue for training the artificial neural network model in an environment where the first computing node and the second computing node exist,
• wherein the first computing node includes one or more local computing resources of the user,
• wherein the second computing node includes one or more cloud computing resources, and
• wherein the first user interface is continuously updated with information from the first and second computing node and further includes:
• a first area for displaying a task queue allocated to each of the one or more local computing resources included in the first computing node;
• and
• a second area for displaying a task queue allocated to each of the one or more cloud computing resources included in the second computing node.

A computing device for training an artificial neural network model, the computing device comprising:

• one or more processors;
• and
• a memory,
• wherein the one or more processors are configured to:
• identify a first computing node and a second computing node for training an artificial neural network model,
• identify information related to a task previously allocated to the first computing node or the second computing node,
• generate idle computing resource information of the first computing node or the second computing node, based on the information related to the task previously allocated to the first computing node or the second computing node,
• acquire information related to a first task for training the artificial neural network model,
• based on a user input, wherein the user input comprises at least one of a type of artificial neural network model to be used for training, information relating to the training data set, information relating to the batch size, or information relating to the backbone;
• dynamically allocate the first task to at least one of the first computing node or the second computing node, based on the idle computing resource information;
• exchanging information related to the first task and performing the training of the first task on one of the first or the second allocated computing node;
• and
• display a first user interface related to a task queue for training the artificial neural network model in an environment where the first computing node and the second computing node exist,
• wherein the first computing node includes one or more local computing resources of the user,
• wherein the second computing node includes one or more cloud computing resources, and
• wherein the first user interface is continuously updated with information from the first and second computing node and further includes:
• a first area for displaying a task queue allocated to each of the one or more local computing resources included in the first computing node;
• and
• a second area for displaying a task queue allocated to each of the one or more cloud computing resources included in the second computing node.