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Following https://github.com/pytorch/pytorch/blob/master/docs/cpp/source/notes/inference_mode.rst#migration-guide-from-autononvariabletypemode 

Resolves #1522 

Replace the prototype RNNT implementation (using warp-transducer) with one without external library dependencies

`SOX_SIGNED_16BIT_TO_SAMPLE` and `SOX_SIGNED_32BIT_TO_SAMPLE` uses left shift on signed integers, (negative values) which is UB.
This PR replaces them (and other sox macros for `uint8` and `float` as well) with Tensor operations.

* Fix install location and suffix for Windows

Some audio formats like `gsm` does not have valid frame numbers when opened. But `libsox` can properly handle these audios, so checking if `length > 0` is not necessary and too strict.

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/51319



We were going out of our way to accommodate `IValue::to<Tensor>` returning a copy of the inner Tensor. `IValue::toTensor` is capable of returning a reference without copying, so if we use it directly, we can allow kernels that want to take `Tensor &` to do so!
As a bonus, we get reduced build times.
ghstack-source-id: 121378961

Reviewed By: bhosmer

Differential Revision: D26138549

fbshipit-source-id: b0f830527da360c542c815bef2f7e1692615b32a
Co-authored-by: Scott Wolchok <swolchok@fb.com>

After a9f5e7229 was merged into upstream pytorch the passing of
references within torch c extension functions is no longer allowed. This
just removes the reference and passes by value instead.
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Switch to cmake for build
* Hide symbols