onnxruntime

1ade88ab - Add boundary checks and add tests for SparseTensorProtoToDenseTensorProto (#27323)

Add boundary checks and add tests for SparseTensorProtoToDenseTensorProto (#27323) ### Motivation and Context ### Description This pull request improves the robustness and correctness of sparse tensor conversion to dense tensors in the ONNX Runtime codebase. The main changes include enhanced validation of tensor shapes and indices, improved support for different index data types, and better error handling for out-of-bounds indices and invalid shapes. **Validation and Error Handling Improvements:** - Added explicit checks to ensure that sparse tensor indices are either rank 1 or 2, and that values are 1D, returning clear errors for unsupported shapes. Also, added checks to ensure all dimension sizes are positive for both values and dense tensors. - Improved error messages and validation for out-of-bounds indices during the sparse-to-dense copy process, including both flattened and multi-dimensional COO indices. [[1]](diffhunk://#diff-d31e9fbe0f5334fcd949833e035f2b25d5ae810dcd505c545f6b372b546b1406L1827-R1850) [[2]](diffhunk://#diff-d31e9fbe0f5334fcd949833e035f2b25d5ae810dcd505c545f6b372b546b1406R1861-R1863) **Index Data Type Handling:** - Enhanced support for INT8 and INT16 index types by allowing them to be provided in the `int32_data` field (not just as raw data), and improved handling of index data extraction for all supported types. **API and Internal Consistency:** - Refactored the `CopySparseData` function to take both `dense_dims` and `dense_elements` as arguments for clearer logic and consistency. [[1]](diffhunk://#diff-d31e9fbe0f5334fcd949833e035f2b25d5ae810dcd505c545f6b372b546b1406L1747-R1781) [[2]](diffhunk://#diff-d31e9fbe0f5334fcd949833e035f2b25d5ae810dcd505c545f6b372b546b1406L1904-R1947) [[3]](diffhunk://#diff-d31e9fbe0f5334fcd949833e035f2b25d5ae810dcd505c545f6b372b546b1406L1928-R1957) [[4]](diffhunk://#diff-d31e9fbe0f5334fcd949833e035f2b25d5ae810dcd505c545f6b372b546b1406L1938-R1967) - Updated function documentation to clarify supported formats and expected tensor shapes. **Minor Corrections:** - Improved error messages for invalid index shapes and ensured correct usage of ONNX enum values and utility functions. [[1]](diffhunk://#diff-d31e9fbe0f5334fcd949833e035f2b25d5ae810dcd505c545f6b372b546b1406L1863-R1872) [[2]](diffhunk://#diff-d31e9fbe0f5334fcd949833e035f2b25d5ae810dcd505c545f6b372b546b1406L1747-R1781) These changes collectively make sparse tensor handling more robust, user-friendly, and standards-compliant. ### Motivation and Context Make the code more robust