tensorflow 2.14.0

• install_tensorflow() changes:

  • Installs TensorFlow v2.14 by default.
  • Now will automatically install the required Nvidia CUDA runtime as a pip
    package if on Linux and a GPU is detected. You can opt-out by passing
    install_tensorflow(cuda = FALSE). Aside from the Nvidia driver, no other
    pre-existing Nvidia CUDA packages are now necessary.
  • The configure_cudnn argument is now superseded by the new argument cuda.
  • New argument metal, for specifying if the tensorflow-metal pip package
    should be installed on Arm Macs. Defaults to TRUE on Arm Macs.

• Fixed an issue where as.array() and other methods might fail if the tensor
  had conversion disabled via r_to_py() or convert = FALSE.

• Fixed an issue where Ops group generic dispatch would error one object was a tensor
  and the other was a non-tensor Python object (e.g., a numpy array).

• Removed long deprecated symbols:
  install_tensorflow_extras(), tfe_enable_eager_execution()

• tfestimator generics train() and train_and_evaluate() now warn about
  their deprecation status when called. The will be removed in a future release.