},
        {
          "shape": [4],
          "buffer": 17,
          "name": "proj_bias17"
        },
        {
          "shape": [1, 4],
          "name": "input_activation_state18",
          "is_variable": true,
          "quantization": {
            "min": [-0.8],
            "max": [1.6]
          }
        },
        {
          "shape": [1, 2],

                   : CreateF32SplatConst(&builder_, {n_output_}, 0,
                                         fused_func_op_.getLoc());
}

void ConvertLSTMCellSimpleToFusedLSTM::SetInputActivationState() {
  input_activation_state_ = CreateF32SplatConst(&builder_, {1, n_output_}, 0,
                                                fused_func_op_.getLoc());
}

void ConvertLSTMCellSimpleToFusedLSTM::SetInputCellState() {
  input_cell_state_ =

  // bias -> cifg
  Value bias2input_;
  Value bias2forget_;
  Value bias2cell_;
  Value bias2output_;

  // projection
  Value proj_weight_;
  Value proj_bias_;

  // state
  Value input_activation_state_;
  Value input_cell_state_;

  // layer norm coefficients
  Value input_layer_norm_coefficients_;
  Value forget_layer_norm_coefficients_;
  Value cell_layer_norm_coefficients_;

    TFL_TensorOfOrNone<[F32, QI8]>:$projection_weights,
    // Optional input
    TFL_TensorOfOrNone<[F32, QI32]>:$projection_bias,

    // Stateful activation and cell states.
    TFL_StatefulTensor:$input_activation_state,
    TFL_StatefulTensor:$input_cell_state,

    // Layer norm coefficients
    TFL_TensorOfOrNone<[F32, QI16]>:$input_layer_norm_coefficients,