Add ONNX Runtime tensor conversions - #19
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Add CPU and optional CUDA tensor views with inference and inter-process integration coverage.
Keep CPU installations platform-neutral while making CUDA runtime and buffer dependencies explicit and deterministic.
Select the runtime provider at source-build time and expose one C++ and Python conversion API across CPU and optional CUDA backends.
Coordinate the Python runtime with the native provider variant and group both conversion packages under one source tree.
Remove the hidden Python stream fallback so applications control stream ownership and consistently share it with ONNX Runtime.
Defer optional CUDA-buffer integration to consumer configuration so the conversion package remains a header-only portable interface.
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Add CPU and optional CUDA tensor views with inference and inter-process integration coverage.
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