Implement ONNX model export validation and ZK compatibility

[Steake]

Create comprehensive validation system for ONNX model exports to ensure compatibility with EZKL circuit compilation and maintain model integrity throughout the ZK pipeline.

Model Export Validation:

• Validate ONNX model structure for ZK circuit compatibility
• Implement automatic model quantization and optimization
• Add model size and complexity validation
• Create model version compatibility checking
• Implement model integrity verification after export

ZK Compatibility Testing:

• Test ONNX models against EZKL circuit compilation requirements
• Validate supported operations and detect incompatible layers
• Implement automatic model transformation for ZK compatibility
• Add compatibility testing across different EZKL versions
• Create compatibility recommendation system

Model Performance Analysis:

• Benchmark ONNX model inference performance
• Analyze model complexity and circuit size implications
• Compare original PyTorch vs ONNX model accuracy
• Implement model optimization recommendations
• Track model performance regression across updates

EBSL Model Integration:

• Validate EBSL fusion operations in ONNX format
• Test opinion combination logic preservation
• Verify trust network processing accuracy
• Implement EBSL-specific model validation rules
• Add reputation score accuracy verification

Automated Testing Pipeline:

• Create comprehensive model testing suite
• Implement CI/CD integration for model validation
• Add regression testing for model updates
• Create performance benchmarking automation
• Implement model quality gates for deployment

Files to Enhance:

• Notebooks/EBSL_EZKL.py - Add ONNX validation functions
• New model testing and validation modules
• CI/CD pipeline integration for automated testing