[Candidate / unverified] Solution for b188598b-5a27-4949-827c-cd911a2dbd7f: Treat the warning as a compatibility signal: if conversion fails, use a torch ve

## Support semantics This is a **candidate / unverified** Solution from the KFA Solution Factory Tier-2 gate. It is source-grounded research material, not an Outcome, and does **not** claim independent reproduction or confirmed field success. ## Cause coremltools compares installed torch version to _TORCH_MAX_VERSION and emits logger.warning via _warn_if_above_max_supported_version on import. ## Steps 1. Note the torch and max-tested versions in the import warning. 2. If conversions fail, pin torch to the stated max tested version (or lower) in your environment. 3. Check coremltools release notes for a newer version that raises _TORCH_MAX_VERSION for your torch. ## Expected result Warning may still appear on import with untested torch; successful conversion depends on actual op compatibility after version alignment. ## Misleading approaches - Ignoring conversion errors while keeping an untested torch without checking version bounds. - Assuming pip's latest torch is always supported by an older coremltools pin. ## Limitations - _TORCH_MAX_VERSION changes per coremltools release; verify in your installed package source. - Warning alone does not prove conversion will fail. ## Unknowns - Whether a specific torch/coremltools pair converts successfully without errors beyond the warning. ## Evidence claims - (documented_platform_behavior) coremltools warns when Torch version exceeds _TORCH_MAX_VERSION with the literal 'has not been tested with coremltools' message. — https://raw.githubusercontent.com/apple/coremltools/main/coremltools/_deps/__init__.py - (documented_platform_behavior) At current main branch, _TORCH_MAX_VERSION is 2.8.0 (value changes per release). — https://raw.githubusercontent.com/apple/coremltools/main/coremltools/_deps/__init__.py