/// maintaining ABI compatibility. This happens only in the following cases:
///   1. A new method is added _at the end_ of the function table.
///   2. Preconditions or postconditions for one operation in these function
///   table change. Note that only core TensorFlow is able to impose these
///   invariants (i.e., guarantee the preconditions before calling the operation

# configure script unconditionally); otherwise if it is false or undefined, the
# build is static and TensorFlow symbols (in Python only) are loaded into the
# global symbol table in order to support op registration. This means that
# projects building with Bazel and importing TensorFlow as a dependency will not
# depend on libtensorflow_framework.so unless they opt in.
tf_cc_shared_library(

  const char* func_name_ = "MyFunc";
  const char* func_node_name_ = "MyFunc_0";
  TF_Status* s_;
  TF_Graph* func_graph_;
  TF_Graph* host_graph_;
  TF_Function* func_;

  // Workaround for not being able to initialize empty map using {}
  std::unordered_set<string> empty_;
};

TEST_F(CApiFunctionTest, OneOp_ZeroInputs_OneOutput) {
  /*
   *                constant
   *                   |

# only executabe on the RBE (x86) machine, so the strategy_regexp options are
# added to override and run the actions using remote strategy.
build:rbe_cross_compile_base_xla --strategy_regexp='Generating code from table.*=remote'
build:rbe_cross_compile_base_xla --strategy_regexp='Generating flatbuffer files.*=remote'
build:rbe_cross_compile_base_xla --strategy_regexp='Executing genrule @llvm-project.*=remote'