// CHECK-LABEL: @sparse_f32

  // CHECK-LABEL: @sparse_f32

      I32ArrayParameter:$indices
  );
  let summary = "Dimension metadata.";
  let assemblyFormat = "`<` struct(params) `>`";
}

def SparsityParameterAttr : AttrDef<TFL_Dialect, "SparsityParameter"> {
  let mnemonic = "sparsity_parameter";
  let parameters = (ins
      I32ArrayParameter:$traversal_order,
      I32ArrayParameter:$block_map,
      ArrayRefParameter<"DimensionMetadataAttr">:$dim_metadata
  );

  //     column indices).
  dense_size:int;
  array_segments:SparseIndexVector;
  array_indices:SparseIndexVector;
}

// Parameters to encode a sparse TfLite tensor.
table SparsityParameters {
  // The traversal order of the dimensions defined in the `shape` field of the
  // conceptual dense tensor. For a n-dimensional tensors with dims (d0, d1,
  // ..., dn-1),

  }
  explicit SparsityParametersBuilder(::flatbuffers::FlatBufferBuilder &_fbb)
        : fbb_(_fbb) {
    start_ = fbb_.StartTable();
  }
  ::flatbuffers::Offset<SparsityParameters> Finish() {
    const auto end = fbb_.EndTable(start_);
    auto o = ::flatbuffers::Offset<SparsityParameters>(end);
    return o;
  }
};

  //     column indices).
  dense_size:int;
  array_segments:SparseIndexVector;
  array_indices:SparseIndexVector;
}

// Parameters to encode a sparse TfLite tensor.
table SparsityParameters {
  // The traversal order of the dimensions defined in the `shape` field of the
  // conceptual dense tensor. For a n-dimensional tensors with dims (d0, d1,
  // ..., dn-1),

  //     column indices).
  dense_size:int;
  array_segments:SparseIndexVector;
  array_indices:SparseIndexVector;
}

// Parameters to encode a sparse TfLite tensor.
table SparsityParameters {
  // The traversal order of the dimensions defined in the `shape` field of the
  // conceptual dense tensor. For a n-dimensional tensors with dims (d0, d1,
  // ..., dn-1),

  // is marked as a stateful operand.
  bool IsStatefulOperand(mlir::Operation* op, int operand_index);

  // Returns a unique name for `val`.
  std::string UniqueName(mlir::Value val);

  BufferOffset<tflite::SparsityParameters> BuildSparsityParameters(
      const mlir::TFL::SparsityParameterAttr& s_attr);

  bool EstimateArithmeticCount(int64_t* count);

  // Check compatibility with GPU delegate and returns the compatibility.