QuantizationSpecs specs = 4;

  // Configures the quantization debugger.
  DebuggerConfig debugger_config = 5;

  // Defines calibration options for quantization. This option is only used for
  // activation of static range quantization (SRQ). Quantization calibration
  // method is set to MIN_MAX by default.
  CalibrationOptions calibration_options = 6;

  // Path to file to save the quantization report, which is essentially a

// RUN: tf-opt %s -tf-fused-kernel-matcher | FileCheck %s

//===----------------------------------------------------------------------===//
// Conv2D + BiasAdd + <Activation> fusions.
//===----------------------------------------------------------------------===//

// CHECK-LABEL: conv2DBiasAdd_noActivation
func.func @conv2DBiasAdd_noActivation(%arg0: tensor<128xf32>, %arg1: tensor<1x1x3x128xf32>, %arg2: tensor<8x32x32x3xf32>) -> (tensor<*xf32>) {

      Option<"quantize_signed_", "quantize-signed", "bool", "false",
             "signed inference type. Only used in tests">,
      Option<"activation_number_of_bits_", "activation-number-of-bits", "int", "8",
             "number of bits for inference type. Only used in tests">,
      Option<"post_training_quantize_", "post-training-quantize", "bool", "false",

// RUN: tf-opt %s -tfl-prepare-quantize="quantize-signed=true post-training-quantize=true activation-number-of-bits=16" -cse | FileCheck %s

// CHECK-LABEL: QuantizeUnidirectionalLstmFullPerTensor
func.func @QuantizeUnidirectionalLstmFullPerTensor(%arg0: tensor<1x2x3xf32>) -> (tensor<1x2x3xf32>) {
  %input = "quantfork.stats"(%arg0) {layerStats = dense<[0.0, 1.0]> : tensor<2xf32>} : (tensor<1x2x3xf32>) -> tensor<1x2x3xf32>