[NV TensorRT RTX] Handle unsupported data types

[ishwar-raut1]

Description

The EP will reject the node with unsupported data types.

Motivation and Context

The user will face a crash if the model with an unsupported datatype is used.

[ishwar-raut1]

@chilo-ms @jywu-msft to review

[Copilot]

Pull Request Overview

This PR adds data type validation to the NV TensorRT RTX execution provider to prevent crashes when models contain unsupported data types. The EP will now gracefully reject nodes with unsupported data types instead of crashing.

• Introduces data type checking functionality with supported type validation
• Updates tensor binding operations to handle INT4 and FLOAT8E4M3FN data types
• Integrates data type validation into the node capability assessment process

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[chilo-ms]

/azp run Linux QNN CI Pipeline,Win_TRT_Minimal_CUDA_Test_CI,Windows ARM64 QNN CI Pipeline,Windows GPU Doc Gen CI Pipeline,Windows x64 QNN CI Pipeline

[azure-pipelines]

Azure Pipelines successfully started running 5 pipeline(s).

[jywu-msft]

in the interest of time, i'm going to merge this and we can follow up on comments later.
I believe TRT supports int4 for weights only and that is why the casting to uint8 is done for I/O

[snnn]

This PR has been cherry-picked into the rel-1.23.0 branch in PR #25959. Removing the release:1.23.0 label.