Implement a more robust Mixture of Experts (MoE) solution that handles
dynamic shapes in PyTorch. The implementation avoids GuardOnDataDependentSymNode
errors by:
- Using masked operations instead of data-dependent control flow
- Providing a cleaner alternative to error suppression
- Including a test file to verify both regular and compiled model behavior
The solution offers two approaches:
1. Quick fix via torch._dynamo.config.suppress_errors
2. Robust implementation using masked operations and proper weight handling
