// Unpacks the given flatbuffer model.
//
// This helper is useful as UnPackTo requires the input to not have any existing
// state so directly calling UnPackTo could lead to memory leaks if the model
// already had some state. Instead, the returned object from here can be used to
// overwrite existing model.
ModelT UnPackFlatBufferModel(const Model& flatbuffer_model) {
  ModelT model;
  flatbuffer_model.UnPackTo(&model);

import org.apache.maven.api.model.Exclusion;
import org.apache.maven.api.model.InputLocation;
import org.apache.maven.api.model.InputLocationTracker;
import org.apache.maven.api.model.Model;
import org.apache.maven.api.model.Parent;
import org.apache.maven.api.model.Plugin;
import org.apache.maven.api.model.PluginExecution;
import org.apache.maven.api.model.PluginManagement;
import org.apache.maven.api.model.Profile;

github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=
github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd h1:TRLaZ9cD/w8PVh93nsPXa1VrQ6jlwL5oN8l14QlcNfg=
github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=

    ],
)

cc_library(
    name = "empty_passes",
    hdrs = ["transforms/passes.h"],
    visibility = [
        "//configs/devtools/hawkeye/tflite:__subpackages__",
        "//learning/brain/models/app_benchmarks:__subpackages__",
    ],
    deps = [
        ":tensorflow_lite_passes_inc_gen",
        "//tensorflow/compiler/mlir/quantization/common/quantization_lib:quantization_config",