ASSERT_EQ(attr.DebugString(), read_attr2.DebugString());
}

TEST_F(CApiFunctionTest, Description) {
  DefineFunction(func_name_, &func_, "Return something");
  tensorflow::FunctionDef fdef;
  ASSERT_TRUE(GetFunctionDef(func_, &fdef));
  ASSERT_EQ(string("Return something"), fdef.signature().description());
}

TEST_F(CApiFunctionTest, Name) {
  DefineFunction("long_func_name", &func_, "Return something",

  TF_Filesystem_Num_Option_Types,  // must always be the last item
} TF_Filesystem_Option_Type;

typedef struct TF_Filesystem_Option {
  char* name;                         // null terminated, owned
  char* description;                  // null terminated, owned
  int per_file;                       // bool actually, but bool is not a C type
  TF_Filesystem_Option_Value* value;  // owned
} TF_Filesystem_Option;

# Description:
# TensorFlow is a computational framework, primarily for use in machine
# learning applications.

load("@bazel_skylib//lib:selects.bzl", "selects")
load("@bazel_skylib//rules:common_settings.bzl", "bool_flag", "bool_setting")
load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda")
load(
    "//tensorflow:tensorflow.bzl",
    "VERSION",
    "VERSION_MAJOR",
    "check_deps",
    "if_google",
    "if_oss",

//                 names for outputs will be generated automatically.
//  opts - various options for the function, e.g. XLA's inlining control.
//  description - optional human-readable description of this function.
//  status - Set to OK on success and an appropriate error on failure.
//
// Note that when the same TF_Output is listed as both an input and an output,