The kernel cache and the autotuner result cache loaded params.pkl with
cloudpickle.load(), so a writable cache directory allowed arbitrary code
execution on the next cache hit. Kernel params are plain data, so store
them as JSON via TVM's reflection (tvm.ir.save_json / load_json), which
rebuilds IR nodes without executing code. Entries without params.json are
treated as incomplete and rebuilt.
Fixes#2817
* Add CUDA target code attr support
* Add CUDA target normalization support
Introduced a new function to normalize CUDA targets, ensuring that the target is correctly identified and transformed based on the detected architecture. Added a test to verify that the bare CUDA target uses the detected architecture accurately.
* Add cross-host CUDA binary cache
* Nest host kernel cache under version namespace
Rishabh Sinha