QNN EP can serialize graph to DLC

[qti-jkilpatrick]

Description

This change adds support for serializing the QNN graph to the new Deep Learning Container (DLC) format. It is meant to supplement and perhaps eventually replace use of the QnnSaver backend, which emits C++ source files when qnn_saver_path is set.

• Add support for serializing to .dlc via the QnnIr backend.
• Don't silently fallback to QnnCpu when QnnSaver was explicitly selected as the execution backend.
• Minor fixes.

Motivation and Context

QNN model libraries, produced by compiling the C++ files that may be produced by QnnSaver have a number of drawbacks. Most importantly, they are not cross-platform and cannot be visualized via Netron or other tools. For these reasons, we anticipate that they may eventually be deprecated in favor of DLC files. These containers typically include a platform-agnostic representation of the graph QNN's internal representation.

[qti-jkilpatrick]

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[HectorSVC]

/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 will not run the associated pipelines, because the pull request was updated after the run command was issued. Review the pull request again and issue a new run command.

[HectorSVC]

/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).

[HectorSVC]

/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).

[HectorSVC]