Enabled Dynamic Quantization for 2D Convolutions [PR #10347]
Added support for dynamically quantized Conv2D inference in XNNPACK.
Prevented Mixed-Precision Inference Failures [PR #9612]
Blocked invalid mixed-dtype ops through input validation to improve runtime stability.
Added Android Runtime API [PR #11042]
Created a Java API via JNI to expose runtime operators and backends from native C++ for Android builds.
Implemented Direct File Reads via Memory Mapping [PR #11654]
Extended the file loading module to support zero-copy reads into user-provided buffers.
Added Failure Tests for Unset DataSink Handling [PR #9762]
Wrote death tests and isolated states to verify logging behavior when DataSink is uninitialized.
Updated Input Validation for Model Execution [PR #10701]
Added input checks to prevent invalid module execution and silent memory corruption.
Added Intel Platform Check to Install Script and Updated Build Instructions [PR #10652]
Prevented unsupported Intel-macOS builds and clarified docs for PyTorch built from source.