pytorch — python Skill

Description

PyTorch deep learning v2.2.0 — COMPONENT detection patterns for FastBuilder.AI's CBFDAE architecture analysis. Identifies top-level architectural components including modules, services, controllers, widgets, and independent units of functionality. Detects component declarations, lifecycle hooks, dependency injection points, and component composition patterns. These patterns enable automated codebase topology mapping for pytorch projects, identifying how component elements connect within the python ecosystem.

Detected Patterns (3)

This skill detects the following CBFDAE (Component, Block, Function, Data, Access, Event) patterns:

• detect
• frameworks
• library_specific

Keywords