TF_Tensor* tensor_shape = Int32Tensor({37, 1});
  TF_Operation* shape = Const(tensor_shape, func_graph.get(), s.get(), "shape");
  TF_Operation* random =
      RandomUniform(shape, TF_FLOAT, func_graph.get(), s.get());

  TF_Output outputs[] = {{random, 0}};
  *func = TF_GraphToFunction(func_graph.get(), name,
                             /*append_hash_to_fn_name=*/false, -1,

        for more details.
*   Add C, C++, and Python functions for querying kernels.

## Breaking Changes

*   Keras:
    *   The default values for tf.keras `RandomUniform`, `RandomNormal`, and
        `TruncatedNormal` initializers have been changed to match those in
        external Keras.
    *   Breaking change: `model.get_config()` on a Sequential model now returns