*
   * @param g the second function to apply
   * @param f the first function to apply
   * @return the composition of {@code f} and {@code g}
   * @see <a href="//en.wikipedia.org/wiki/Function_composition">function composition</a>
   */
  public static <A extends @Nullable Object, B extends @Nullable Object, C extends @Nullable Object>
      Function<A, C> compose(Function<B, C> g, Function<A, ? extends B> f) {

  }
}
node {
  name: "b"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  experimental_debug_info {
  }
}
library {
  function {
    signature {
      name: "cond_true"
      input_arg {
        name: "cond_true"
        type: DT_FLOAT
      }
      input_arg {
        name: "cond_true1"
        type: DT_FLOAT
      }

Ilya Kirillov <******@****.***> 1665754261 +0200

   *
   * @param g the second function to apply
   * @param f the first function to apply
   * @return the composition of {@code f} and {@code g}
   * @see <a href="//en.wikipedia.org/wiki/Function_composition">function composition</a>
   */
  public static <A extends @Nullable Object, B extends @Nullable Object, C extends @Nullable Object>
      Function<A, C> compose(Function<B, C> g, Function<A, ? extends B> f) {

    public val name: Name
        get() = withValidityAssertion {
            // The case where PSI is null is when calling `invoke()` on a variable with functional type, e.g. `x(1)` below:
            //
            //   fun foo(x: (item: Int) -> Unit) { x(1) }
            //   fun bar(x: Function1<@ParameterName("item") Int, Unit>) { x(1) }
            val nameCanBeDeclaredInAnnotation = symbol.psi == null

}
node {
  name: "custom_embedding_matmul_func_call"
  op: "custom_embedding_matmul"
}
library {
  function {
    signature {
      name: "custom_relu"
    }
    attr {
      key: "_implements"
      value {
        func {
          name: "tensorflow.relu"
        }
      }
    }
  }
  function {
    signature {
      name: "custom_embedding_matmul"
    }
    attr {
      key: "_implements"

 * java.util.function.Function java.util.function.Function}.
 *
 * <p>The {@link Functions} class provides common functions and related utilities.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/FunctionalExplained">the use of {@code Function}</a>.
 *
 * <h3>For Java 8+ users</h3>
 *

// (that would indicate a slice type). Thus, generic functions cannot
// have empty type parameter lists, either. This is a syntax error.

func h[] /* ERROR "empty type parameter list" */ () {}

func _() {
	h /* ERROR "cannot index" */ [] /* ERROR "operand" */ ()
}

// Generic functions must have a function body.

/**
 * Legacy version of {@link java.util.function.Function java.util.function.Function}.
 *
 * <p>The {@link Functions} class provides common functions and related utilities.
 *
 * <p>As this interface extends {@code java.util.function.Function}, an instance of this type can be
 * used as a {@code java.util.function.Function} directly. To use a {@code
 * java.util.function.Function} in a context where a {@code com.google.common.base.Function} is

    absl::Span<tensorflow::AbstractTensorHandle* const> inputs,
    absl::Span<tensorflow::AbstractTensorHandle*> outputs) {
  // TODO(srbs): Provide a function execution API on ctx so that we do not
  // expose the internals of how functions are to be executed here.
  std::string fname;
  {
    const tensorflow::FunctionDef* fdef = nullptr;
    TF_RETURN_IF_ERROR(trace->GetFunctionDef(&fdef));