namespace mlir {
namespace lite {

// Supported resulting types from quantization process.
enum class BufferType { QUANTIZED_INT8, QUANTIZED_FLOAT16 };

// Stores information about how to quantize a user-specified custom operation.
// CustomOpInfo contains info of its corresponding CustomOp registered in the
// CustomOpMap. 'quantizable_input_indices' is used to determine which indices

    *   `tf.einsum()`raises `ValueError` for unsupported equations like
        `"ii->"`.
    *   Add DCT-I and IDCT-I in `tf.signal.dct` and `tf.signal.idct`.
    *   Add LU decomposition op.
    *   Add quantile loss to gradient boosted trees in estimator.
    *   Add `round_mode` to `QuantizeAndDequantizeV2` op to select rounding
        algorithm.
    *   Add `unicode_encode`, `unicode_decode`, `unicode_decode_with_offsets`,

        per_axis_type.getStorageTypeMin(), per_axis_type.getStorageTypeMax());
  }

  auto quantize = builder.create<quantfork::QuantizeCastOp>(
      q_op.getLoc(), new_value_type.clone(new_qtype), new_value);
  auto dequantize = builder.create<quantfork::DequantizeCastOp>(
      dq_op.getLoc(), new_value_type, quantize.getResult());
  return dequantize.getResult();
}

// stats.Pause slice will be reused if large enough, reallocated otherwise.
// ReadGCStats may use the full capacity of the stats.Pause slice.
// If stats.PauseQuantiles is non-empty, ReadGCStats fills it with quantiles
// summarizing the distribution of pause time. For example, if
// len(stats.PauseQuantiles) is 5, it will be filled with the minimum,
// 25%, 50%, 75%, and maximum pause times.
func ReadGCStats(stats *GCStats) {

// Defines various options to specify and control the behavior of the quantizer.
// It consists of
// 1) Model-wise quantization configuration as a default configuration. If it is
// None, the default configuration is "do not quantize the model".
// 2) A set of supported operations.
// 3) Unit wise quantization precision.
// 4) Target hardware name.
// NEXT ID: 18
message QuantizationOptions {

					}
				}
			}
		}
	}

	var memstats runtime.MemStats
	runtime.ReadMemStats(&memstats)

	gcStats := debug.GCStats{
		// If stats.PauseQuantiles is non-empty, ReadGCStats fills
		// it with quantiles summarizing the distribution of pause time.
		// For example, if len(stats.PauseQuantiles) is 5, it will be
		// filled with the minimum, 25%, 50%, 75%, and maximum pause times.
		PauseQuantiles: make([]time.Duration, 5),
	}

#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/lite/tools/optimize/operator_property.h"

//===----------------------------------------------------------------------===//
// The prepare-quantize Pass for LSTM.
//
namespace mlir {
namespace TFL {

constexpr double power_of_two_scale = 32768.0;

// Same with the ordering of //tensorflow/compiler/mlir/lite/ir/tfl_ops.td

// RUN: tf-quant-opt %s -split-input-file -quant-propagate-quantize-type | FileCheck %s

module {
  func.func @not_propagate_matmul(%arg0: tensor<1x2x2x2xf32>) -> tensor<*xf32> {
    %cst = "tf.Const"() {value = dense<127> : tensor<2x1024xi8>} : () -> tensor<2x1024xi8>
    %cst_0 = "tf.Const"() {value = dense<0.0157480314> : tensor<f32>} : () -> tensor<f32>
    %0 = "tf.Identity"(%cst) : (tensor<2x1024xi8>) -> tensor<2x1024xi8>

// RUN: tf-quant-opt %s -split-input-file -quant-convert-fake-quant-to-qdq -quant-lift-quantizable-spots-as-functions='target-opset=XLA' -quant-insert-quantized-functions -quant-quantize-composite-functions='target-opset=XLA' -symbol-dce -inline -tf-shape-inference -canonicalize -quant-replace-cast-hacks-with-tf-xla-ops -cse -quant-optimize | FileCheck %s

module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1219 : i32}, tf_saved_model.semantics} {

    // This is the argument used to refer to the pass in
    // the textual format (on the commandline for example).
    return "quant-quantize-composite-functions";
  }

  StringRef getDescription() const final {
    // This is a brief description of the pass.
    return "Quantize composite functions with QDQ input/outputs.";
  }

  void getDependentDialects(DialectRegistry& registry) const override {