Shadi/release

[shadielfares]

GITHUB PR TEMPLATE + WORKFLOWS

[Copilot]

Pull Request Overview

This PR adds GitHub workflow templates and comprehensive infrastructure for ONNX model analysis, slicing, and zero-knowledge proof generation. The changes introduce a complete pipeline for processing neural network models with support for multiple proof systems (EZKL, JSTProve) and include E2E testing capabilities.

• Adds comprehensive ONNX model analysis and slicing infrastructure with metadata generation
• Implements runners for multiple ZK proof systems (EZKL, JSTProve, DeepProve) with support for both whole model and sliced inference
• Introduces extensive testing framework with E2E tests and model generation utilities

Reviewed Changes

Copilot reviewed 21 out of 28 changed files in this pull request and generated 8 comments.

Show a summary per file

File	Description
testing/core/e2e_tests/test_e2e.py	E2E test framework for the complete kubz workflow from slicing to verification
src/utils/onnx_utils.py	ONNX utility functions for model manipulation and metadata handling
src/utils/onnx_analyzer.py	Comprehensive ONNX model analyzer for extracting detailed model metadata
src/utils/model_generator.py	Test model generation utilities for creating various neural network architectures
src/utils/model_analyzer.py	PyTorch model analyzer for extracting activation functions and layer information
src/templates/report_template.html	Interactive HTML template for neural network visualization reports
src/runners/runner_utils.py	Shared utilities for model runners including memory monitoring and input preprocessing
src/runners/onnx_runner.py	ONNX model inference runner supporting both whole and sliced model execution
src/runners/model_runner.py	PyTorch model runner with support for segmented inference
src/runners/jstprove_runner.py	JSTProve integration for ZK proof generation and verification
src/runners/ezkl_runner.py	EZKL integration with comprehensive proof workflow support
src/runners/deepprove_runner.py	DeepProve runner skeleton for future ZK proof system integration
src/onnx_slicer.py	ONNX model slicing implementation for creating model segments

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