feat: Initial Support for FlatBuffer context#608
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Currently only working in CB models when using choose_rank().
* Also implement a mechanism to manage collisions between RL and VW api_status.h
Two issues causing a build break due to mismatch between dev and ci C++ standards version: * Earlier C++ standards had problems with detecting types in lambdas for auto * "default" keyword could not be used as a variable name * Compiler cannot disambiguate between typename and variable shadowing the typename in contexts requiring typename
Testing to see if this is causing a build-break in the build nugets workflow
Older versions of the C++ standard could not properly deduce the chain of types to be built up using initializer lists.
There is a fair bit of logic in RLClientLib which is very payload-specific, particularly around dedup and the more complex loop types. In the initial support for FlatBuffer contexts we are going to avoid enabling those scenarios to get to E2E FlatBuffer CB, so we suppress these capabilities when we use FlatBuffer. The fix is to do this correctly and in all cases so we do not run into weird AccessViolation exceptions / SegFaults. The longer-term fix would be to provide a higher-level way to interact with the context (likely via the underlying i_model) to avoid having to deeply understand every single input_serialization type. This is a fairly significant refactor, and beyond the scope of the current effort around FlatBuffers.
Also deprecate onnx.use_unstructured_input in favour of the INPUT_SERIALIZATION configuration parameter.
* Adds support for fb inputs for CB loops * Adds helper for generating fb inputs * Cleans up ActionFlags APIs a little
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Add support for using flatbuffer spans as input to RLClientLib when using a VW model.
Note: Currently only working in CB models when using choose_rank().
Stretch: