kube::golang::outfile_for_binary() {
  local binary=$1
  local platform=$2
  local output_path="${KUBE_GOPATH}/bin"
  local bin
  bin=$(basename "${binary}")
  if [[ "${platform}" != "${host_platform}" ]]; then
    output_path="${output_path}/${platform//\//_}"
  fi
  if [[ ${GOOS} == "windows" ]]; then
    bin="${bin}.exe"
  fi
  echo "${output_path}/${bin}"
}

# Argument: the name of a Kubernetes package.

Once you have a converted TfLite model ready, you can use the following command
to use TAC to optimize for your model:

```
bazel run -c opt //tensorflow/compiler/mlir/lite/experimental/tac:tac-translate -- <PATH_TO_YOUR_MODEL> -o=<OUTPUT_PATH> -device-specs=<HARDWARE_BACKENDS>
```

The devices_specs is a list of the names of the desired hardware backends,
separated by comma, e.g., "GPU,CPU".