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It's wrong to depend on `${TORCH_LIBRARIES}` as it pulls in explicit
`libcuda.so.1` dependency, which violates the assumption that GPU
accelerated libraries should be loadable with no NVIDIA drivers installed

Instead, make it depend on `torch` target, which includes all necessary
Torch C++ API dependences

When building torchaudio from source, `get_version.sh` from kaldi is executed everytime,
which results in kaldi-bindings to be always rebuilt.

This commit add "if" guard to the part so that they are not always executed.

Needed to allow building on M1

Downloaded from https://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD and https://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.sub;hb=HEAD

Replacing the config.guess with a newer version to support newer hardware, such as Nvidia Jetson.

Obtained from: https://git.savannah.gnu.org/gitweb/?p=config.git;a=blob_plain;f=config.guess;hb=HEAD

See: https://www.gnu.org/software/gettext/manual/html_node/config_002eguess.html

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

`wavpack` is a format not supported/tested in torchaudio.
Leaving the option blank can cause the issue like #1461 in untested environment.

* Fix fileobj I/O undeterministic behavior

Ever since the file-like object support was added in #1158, the test
was occasionally failing in CI. This PR fixes this.

* Switch to cmake for build
* Hide symbols

Currently `libsox` on Linux is compiled with GPU OpenMP and it interferes with the version PyTorch uses (Intel in case of binary distribution). This PR disables OpenMP support for `libsox`, while we investigate the way to use the same OpenMP as PyTorch's version.

* Use cmake for third party

* Apply patch to libmad

* Update gitignore

* Update docker test image