TF_Buffer* TF_GetAllOpList() {
  std::vector<tensorflow::OpDef> op_defs;
  tensorflow::OpRegistry::Global()->GetRegisteredOps(&op_defs);
  tensorflow::OpList op_list;
  for (const auto& op : op_defs) {
    *(op_list.add_op()) = op;
  }
  TF_Buffer* ret = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(op_list, ret));
  return ret;
}

// --------------------------------------------------------------------------

<pre class="ebnf">
Expression = UnaryExpr | Expression binary_op Expression .
UnaryExpr  = PrimaryExpr | unary_op UnaryExpr .

binary_op  = "||" | "&amp;&amp;" | rel_op | add_op | mul_op .
rel_op     = "==" | "!=" | "&lt;" | "&lt;=" | ">" | ">=" .
add_op     = "+" | "-" | "|" | "^" .
mul_op     = "*" | "/" | "%" | "&lt;&lt;" | "&gt;&gt;" | "&amp;" | "&amp;^" .

unary_op   = "+" | "-" | "!" | "^" | "*" | "&amp;" | "&lt;-" .

  Run({{func_feed, Int32Tensor(3)}}, {{func_op, 0}, {func_op, 1}}, {5, 5});
  VerifyFDef({"add_1"}, M({{"feed1"}, {"feed2"}}), M({{"add"}, {"add_0"}}),
             {{"feed1", "add_1:0"},
              {"feed2", "add_1:1"},
              {"add_1:sum:0", "add"},
              {"add_1:sum:0", "add_0"}},
             {});
}

TEST_F(CApiFunctionTest, TwoDuplicateOutputs_OutputNames) {
  /*

    }
  }

  @CanIgnoreReturnValue
  public static <E extends @Nullable Object> boolean addAll(
      Collection<E> addTo, Iterable<? extends E> elementsToAdd) {
    boolean modified = false;
    for (E e : elementsToAdd) {
      modified |= addTo.add(e);
    }
    return modified;
  }

  static <T extends @Nullable Object> Iterable<T> reverse(List<T> list) {
    return () ->

    }
  }

  @CanIgnoreReturnValue
  public static <E extends @Nullable Object> boolean addAll(
      Collection<E> addTo, Iterable<? extends E> elementsToAdd) {
    boolean modified = false;
    for (E e : elementsToAdd) {
      modified |= addTo.add(e);
    }
    return modified;
  }

  static <T extends @Nullable Object> Iterable<T> reverse(List<T> list) {
    return () ->

      @Override
      Entry<E> result(int entryIndex) {
        return backingMap.getEntry(entryIndex);
      }
    };
  }

  /** Allocation-free implementation of {@code target.addAll(this)}. */
  void addTo(Multiset<? super E> target) {
    checkNotNull(target);
    for (int i = backingMap.firstIndex(); i >= 0; i = backingMap.nextIndex(i)) {
      target.add(backingMap.getKey(i), backingMap.getValue(i));
    }
  }

      ImmutableLongArray iia = builder.build();
      for (int j = 0; j < iia.length(); j++) {
        assertThat(iia.get(j)).isEqualTo((long) j);
      }
    }
  }

  private enum BuilderOp {
    ADD_ONE {
      @Override
      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        builder.add(counter.getAndIncrement());
      }
    },
    ADD_ARRAY {
      @Override

  @CanIgnoreReturnValue
  public static <T extends @Nullable Object> boolean addAll(
      Collection<T> addTo, Iterable<? extends T> elementsToAdd) {
    if (elementsToAdd instanceof Collection) {
      Collection<? extends T> c = (Collection<? extends T>) elementsToAdd;
      return addTo.addAll(c);
    }
    return Iterators.addAll(addTo, checkNotNull(elementsToAdd).iterator());
  }

  /**

    *   Added reference implementation for 16-bit int unquantized `add`.
    *   Added reference implementation for 16-bit int and 32-bit unsigned int unquantized `mul`.
    *   `add_op` supports broadcasting up to 6 dimensions.
    *   Added 16-bit support for `top_k`.

*   `tf.function`

- kubeadm: `kubeadm upgrade node` now supports `addon` and `post-upgrade` phases. Users can use `kubeadm upgrade node phase addon` to execute the addon upgrade, or use `kubeadm upgrade node --skip-phases addon` to skip the addon upgrade. If you were previously skipping an addon subphase on `kubeadm init` you should now skip the same addon when calling `kubeadm upgrade apply` and `kubeadm upgrade node`. Currently, the `post-upgrade` phase is...