Deep-learning generative model

A device comprising:

• a processor;
• and
• a non-transitory data storage medium having recorded thereon a deep-learning generative model that outputs 3D modeled objects each representing a mechanical part or an assembly of mechanical parts and that is taught by the processor being configured to:
• obtain a dataset of 3D modeled objects, each 3D modeled object representing a mechanical part or an assembly of mechanical parts, and
• train the deep-learning generative model based on the dataset, the training including minimization of a loss, the loss including a term that penalizes, for each output respective 3D modeled object, one or more functional scores of the respective 3D modeled object, each functional score measuring an extent of non-respect of a respective functional descriptor among one or more functional descriptors, by the mechanical part or the assembly of mechanical parts.

A device comprising:

• a processor;
• and
• a non-transitory data storage medium having recorded thereon a computer program including instructions for training a deep-learning generative model that outputs 3D modeled objects each representing a mechanical part or an assembly of mechanical parts that when executed by the processor causes the processor to be configured to:
• obtain a dataset of 3D modeled objects, each 3D modeled object representing a mechanical part or an assembly of mechanical parts, and
• train the deep-learning generative model based on the dataset, the training including minimization of a loss, the loss including a term that penalizes, for each output respective 3D modeled object, one or more functional scores of the respective 3D modeled object, each functional score measuring an extent of non-respect of a respective functional descriptor among one or more functional descriptors, by the mechanical part or the assembly of mechanical parts.