SkipGramOptions,
  SpaceToDepthOptions,
  EmbeddingLookupSparseOptions,
  MulOptions,
  PadOptions,
  GatherOptions,
  BatchToSpaceNDOptions,
  SpaceToBatchNDOptions,
  TransposeOptions,
  ReducerOptions,
  SubOptions,
  DivOptions,
  SqueezeOptions,
  SequenceRNNOptions,
  StridedSliceOptions,
  ExpOptions,
  TopKV2Options,
  SplitOptions,
  LogSoftmaxOptions,
  CastOptions,

  SkipGramOptions,
  SpaceToDepthOptions,
  EmbeddingLookupSparseOptions,
  MulOptions,
  PadOptions,
  GatherOptions,
  BatchToSpaceNDOptions,
  SpaceToBatchNDOptions,
  TransposeOptions,
  ReducerOptions,
  SubOptions,
  DivOptions,
  SqueezeOptions,
  SequenceRNNOptions,
  StridedSliceOptions,
  ExpOptions,
  TopKV2Options,
  SplitOptions,
  LogSoftmaxOptions,
  CastOptions,

  SkipGramOptions,
  SpaceToDepthOptions,
  EmbeddingLookupSparseOptions,
  MulOptions,
  PadOptions,
  GatherOptions,
  BatchToSpaceNDOptions,
  SpaceToBatchNDOptions,
  TransposeOptions,
  ReducerOptions,
  SubOptions,
  DivOptions,
  SqueezeOptions,
  SequenceRNNOptions,
  StridedSliceOptions,
  ExpOptions,
  TopKV2Options,
  SplitOptions,
  LogSoftmaxOptions,
  CastOptions,

    DefaultValuedOptionalAttr<BoolAttr, "false">:$keep_dims
  );

  let results = (outs
    TFL_BoolTensor:$output
  );

  let hasOptions = 1;
  let customOption = "ReducerOptions";
}

def TFL_ReduceAllOp : TFL_Op<"reduce_all", [Pure]> {
  let summary = [{
Computes the "logical and" of elements across dimensions of a tensor.
  }];

  let description = [{

    fbb_.AddElement<uint8_t>(ReducerOptions::VT_KEEP_DIMS, static_cast<uint8_t>(keep_dims), 0);
  }
  explicit ReducerOptionsBuilder(::flatbuffers::FlatBufferBuilder &_fbb)
        : fbb_(_fbb) {
    start_ = fbb_.StartTable();
  }
  ::flatbuffers::Offset<ReducerOptions> Finish() {
    const auto end = fbb_.EndTable(start_);
    auto o = ::flatbuffers::Offset<ReducerOptions>(end);
    return o;
  }