Feat/fp16 embeddings #69
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… and kernels. - Adapt tensors, task graphs, and layer planners to support `HalfFloatArray`. - Replace FP32 arrays with FP16-compatible implementations in key inference states (`wrapX`). - Add new FP16-specific kernels for data transfer and activation computations. - Optimize Q8_0 quantized operations with FP16 tensor support for improved efficiency. - Update `State` classes and TornadoVM integrations to utilize FP16 data structures for key activation paths.
…maintainability by adding step-by-step comments and simplifying scaled output computation.
…n and remove obsolete hacky methods. - Replace `loadTornadoTensorAsFP32` with `loadTornadoTensor` for cleaner tensor loading. - Add logging for tensor loading details in `loadTornadoTensor`. - Remove `copyHack` method and associated comments from compute kernels and logits layer. - Update `wrapX` state in inference to utilize `asHalfFloatArray` for FP16 support. - Cleanup redundant initialization and tasks in FP16 logits layer.
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