}

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;
  }

    "mirror_pad_attr">;

// LSTM Kernel Type attributes
def TFL_LSTM_KT_FULL  : I32EnumAttrCase<"FULL", 0>;
def TFL_LSTM_KT_BASIC  : I32EnumAttrCase<"BASIC", 1>;
def TFL_LSTMKernelType : I32EnumAttr<"LSTMKernelType", "lstm_kernel_type",
   [
     TFL_LSTM_KT_FULL,  TFL_LSTM_KT_BASIC
   ]>{
  let genSpecializedAttr = 0;
  let cppNamespace = "::mlir::TFL";
}

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(),

    // Since this op is the BASIC kernel only, constrain it.
    ConfinedAttr<
      DefaultValuedOptionalAttr<TFL_LSTMKernelTypeAttr, "mlir::TFL::LSTMKernelType::BASIC">,
      [TFL_LSTMKernelTypeEqualsTo<"mlir::TFL::LSTMKernelType::BASIC">]>:$kernel_type
  );

  let hasOptions = 1;

  let results = (outs TFL_2DTensorOf<[F32, QUI8]>:$activ_output,

  return EnumNamesFullyConnectedOptionsWeightsFormat()[index];
}

enum LSTMKernelType : int8_t {
  LSTMKernelType_FULL = 0,
  LSTMKernelType_BASIC = 1,
  LSTMKernelType_MIN = LSTMKernelType_FULL,
  LSTMKernelType_MAX = LSTMKernelType_BASIC
};

inline const LSTMKernelType (&EnumValuesLSTMKernelType())[2] {
  static const LSTMKernelType values[] = {
    LSTMKernelType_FULL,
    LSTMKernelType_BASIC
  };

  // expected-error @+1 {{'tfl.lstm' op attribute 'kernel_type' failed to satisfy constraint: lstm_kernel_type whose value is mlir::TFL::LSTMKernelType::FULL}}