}

static tflite::LSTMKernelType ConvertTFL_LSTMKernelTypeAttrForOptionWriter(
    mlir::TFL::LSTMKernelType kernel_type,
    flatbuffers::FlatBufferBuilder* builder) {
  switch (kernel_type) {
    case mlir::TFL::LSTMKernelType::FULL:
      return tflite::LSTMKernelType_FULL;
    case mlir::TFL::LSTMKernelType::BASIC:
      return tflite::LSTMKernelType_BASIC;
  }

table L2NormOptions {
  fused_activation_function:ActivationFunctionType;
}

table LocalResponseNormalizationOptions {
  radius:int;
  bias:float;
  alpha:float;
  beta:float;
}

enum LSTMKernelType : byte {
  // Full LSTM kernel which supports peephole and projection.
  FULL = 0,
  // Basic LSTM kernels. Equivalent to TensorFlow BasicLSTMCell.
  BASIC = 1,
}

  fused_activation_function:ActivationFunctionType;
}

table LocalResponseNormalizationOptions {
  radius:int;
  bias:float;
  alpha:float;
  beta:float;
}

enum LSTMKernelType : byte {
  // Full LSTM kernel which supports peephole and projection.
  FULL = 0,
  // Basic LSTM kernels. Equivalent to TensorFlow BasicLSTMCell.
  BASIC = 1,
}

  fused_activation_function:ActivationFunctionType;
}

table LocalResponseNormalizationOptions {
  radius:int;
  bias:float;
  alpha:float;
  beta:float;
}

// LINT.IfChange
enum LSTMKernelType : byte {
  // Full LSTM kernel which supports peephole and projection.
  FULL = 0,
  // Basic LSTM kernels. Equivalent to TensorFlow BasicLSTMCell.
  BASIC = 1,
}

      builder_.getF32FloatAttr(10.0), builder_.getF32FloatAttr(0.0),
      mlir::TFL::LSTMKernelTypeAttr::get(builder_.getContext(),
                                         mlir::TFL::LSTMKernelType::FULL),
      /*asymmetric_quantize_inputs=*/mlir::BoolAttr(),
      /*input_to_input_intermediate=*/mlir::TypeAttr(),
      /*input_to_forget_intermediate=*/mlir::TypeAttr(),