[Relax][TensorRT] Fix YOLO BYOC offload and partitioning gaps

[tlopex]

Fixes #19887.

This PR fixes several gaps in the Relax TensorRT BYOC pipeline exposed by YOLO-style models.

The reported failures occurred at three different stages:

• relax.permute_dims and relax.image.resize2d were not offloaded consistently because TensorRT composite naming and runtime converter coverage were incomplete.
• MergeCompositeFunctions could incorrectly merge branches involving split and TupleGetItem, resulting in a cyclic group dependency.
• ONNX Range conversion could pass a PrimType directly to relax.arange, while its FFI expects a DataType.

[gemini-code-assist]

Code Review

This pull request introduces support for silu and image.resize2d operators in the TensorRT BYOC backend, including their respective pattern registrations, runtime converters, and unit tests. It also fixes a dependency tracking issue in MergeCompositeFunctions by explicitly handling TupleNode and TupleGetItemNode to prevent cyclic merges, and updates the arange operator to properly handle raw data types. Additionally, error reporting for unsupported TensorRT operators has been improved. No review comments were provided, so there is no feedback to address.

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