CICD and GPU Utilization

Problem Description Design and implement an automated workflow based on CICD and GPU utilization. The workflow should be designed according to the following requirements: CI/CD Integration: Cover a complete process from code submission, testing, building to deployment. Ensure GPU utilization efficiency during the building phase. Performance Optimization: Identify and optimize GPU performance bottlenecks to ensure efficient workflow operation. Environment Coordination: Describe how this workflow can be applied in various development environments. Test Cases Input a repository with multiple code changes, ensure all unit tests pass, and quickly train a specific model on GPU. Handle compatibility tests for different versions of GPU drivers and libraries. Ensure seamless integration in multi-language projects (e.g., Python and C++). Simulate a scenario with performance bottlenecks and observe improvements after optimization. Test workflow portability across different cloud providers (e.g., AWS, GCP). Example Input <stdin for test case 1>