as wasi-nn doesn't have these concepts, the best we can do without risking breaking certain applications here is to pass through tensors as they are. this matches wasmtime's behavior. tested with: * wasmtime classification-example (with this change, this example fails on tensor size mismatch instead of implicitly resizing it.) * license-plate-recognition-barrier-0007, a converted version with non-fp32 output. [1] (with this change, this model outputs integers as expected.) [1] https://github.com/openvinotoolkit/open_model_zoo/tree/cd7ebe313b69372763e76b82e5d24935308fece4/models/public/license-plate-recognition-barrier-0007