tensor<8xf32>, s_param = #tfl.sparsity_parameter<traversal_order = [0, 1, 2, 3], block_map = [3, 1], dim_metadata = #tfl.dimension_metadata<format = DENSE, dense_size = 16, segments = [], indices = []>, #tfl.dimension_metadata<format = DENSE, dense_size = 1, segments = [], indices = []>, #tfl.dimension_metadata<format = DENSE, dense_size = 1, segments = [], indices = []>, #tfl.dimension_metadata<format = SPARSE_CSR, dense_size = 0, segments = [0, 5, 11], indices = [1, 4, 9]>>, value = dense<0.000000e+00> :...

tensor<8xf32>, s_param = #tfl.sparsity_parameter<traversal_order = [0, 1, 2, 3], block_map = [3, 1], dim_metadata = #tfl.dimension_metadata<format = DENSE, dense_size = 16, segments = [], indices = []>, #tfl.dimension_metadata<format = DENSE, dense_size = 1, segments = [], indices = []>, #tfl.dimension_metadata<format = DENSE, dense_size = 1, segments = [], indices = []>, #tfl.dimension_metadata<format = SPARSE_CSR, dense_size = 0, segments = [0, 5, 11], indices = [1, 4, 9]>>, value = dense<0.000000e+00> :...

  let parser = "::mlir::TFL::parseI32Array($_parser)";
  let printer = "$_printer << '[' << $_self << ']'";
}

def DimensionMetadataAttr : AttrDef<TFL_Dialect, "DimensionMetadata"> {
  let mnemonic = "dimension_metadata";
  let parameters = (ins
      TFL_DimensionTypeAttr:$format,
      "int32_t":$dense_size,
      I32ArrayParameter:$segments,
      I32ArrayParameter:$indices
  );

      _fbb,
      _values);
}

inline DimensionMetadataT *DimensionMetadata::UnPack(const ::flatbuffers::resolver_function_t *_resolver) const {
  auto _o = std::unique_ptr<DimensionMetadataT>(new DimensionMetadataT());
  UnPackTo(_o.get(), _resolver);
  return _o.release();
}

inline void DimensionMetadata::UnPackTo(DimensionMetadataT *_o, const ::flatbuffers::resolver_function_t *_resolver) const {

// vector. We don't want the per-dimensional index to overflow that range.
union SparseIndexVector {
  Int32Vector,
  Uint16Vector,
  Uint8Vector
}

table DimensionMetadata {
  // Whether a dimension is dense or sparse.
  format:DimensionType;
  // Index metadata used for a dimension.
  //   - If format is DimensionType.DENSE then we use the dense_size field to

// vector. We don't want the per-dimensional index to overflow that range.
union SparseIndexVector {
  Int32Vector,
  Uint16Vector,
  Uint8Vector
}

table DimensionMetadata {
  // Whether a dimension is dense or sparse.
  format:DimensionType;
  // Index metadata used for a dimension.
  //   - If format is DimensionType.DENSE then we use the dense_size field to

// vector. We don't want the per-dimensional index to overflow that range.
union SparseIndexVector {
  Int32Vector,
  Uint16Vector,
  Uint8Vector
}

table DimensionMetadata {
  // Whether a dimension is dense or sparse.
  format:DimensionType;
  // Index metadata used for a dimension.
  //   - If format is DimensionType.DENSE then we use the dense_size field to

BufferOffset<tflite::SparsityParameters> Translator::BuildSparsityParameters(
    const mlir::TFL::SparsityParameterAttr& s_attr) {
  const int dim_size = s_attr.getDimMetadata().size();
  std::vector<flatbuffers::Offset<tflite::DimensionMetadata>> fb_dim_metadata(
      dim_size);
  for (int i = 0; i < dim_size; i++) {
    const auto dim_metadata = mlir::dyn_cast<mlir::TFL::DimensionMetadataAttr>(
        s_attr.getDimMetadata()[i]);