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Resolving PyTorch Module Import Errors: In-depth Analysis of Environment Management and Dependency Configuration

PyTorch Environment Management Module Import Virtual Environment Dependency Configuration

This technical article provides a comprehensive analysis of the common 'No module named torch' error, examining root causes from multiple perspectives including Python environment isolation, package management tool differences, and path resolution mechanisms. Through comparison of conda and pip installation methods and practical virtual environment configuration, it offers systematic solutions with detailed code examples and environment setup procedures to help developers fundamentally understand and resolve PyTorch import issues.