onnxruntime

[js/common] prepare work for supporting webgpu IO binding implementation (#17465)

### Description
This PR contains a few changes in /js/common/ to support a coming PR for
a full implementation of webgpu IO binding.

- allows pass-through if value is already a Tensor instance in return
value of `handler.run()` called by `InferenceSession.run()`
(inference-session-impl.ts). Specifically, onnxruntime-node and
onnxruntime-react-native uses native bindings to generate a Tensor-like
object so we need to create a real Tensor instance here; for
onnxruntime-web the return value is already a Tensor instance.

- adds new types for GPU buffer supported types: `'float32'|'int32'` ->
`'float32'|'float16'|'int32'|'int64'|'uint32'|'bool'`

- exposes types `GpuBufferDataTypes` together with `CpuPinnedDataTypes`
and `TextureDataTypes` as exported