#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/tfe_op_internal.h"
#include "tensorflow/c/eager/tfe_tensorhandle_internal.h"
#include "tensorflow/c/tf_datatype.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_tensor.h"
#include "tensorflow/core/common_runtime/eager/eager_operation.h"
#include "tensorflow/core/common_runtime/eager/tensor_handle.h"

from tensorflow.compiler.mlir.quantization.stablehlo.python.integration_test import quantize_model_test_base
from tensorflow.compiler.mlir.quantization.tensorflow.python import representative_dataset as repr_dataset
from tensorflow.python.eager import def_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_spec
from tensorflow.python.framework import test_util

func printScavTrace(releasedBg, releasedEager uintptr, forced bool) {
	assertLockHeld(&scavenger.lock)

	printlock()
	print("scav ",
		releasedBg>>10, " KiB work (bg), ",
		releasedEager>>10, " KiB work (eager), ",
		gcController.heapReleased.load()>>10, " KiB now, ",
		(gcController.heapInUse.load()*100)/heapRetained(), "% util",
	)
	if forced {
		print(" (forced)")
	} else if scavenger.printControllerReset {

 * domain names, and even `localhost` when connecting from the server itself. Each of a web server's
 * names is a distinct URL and they are not interchangeable. For example, even if
 * `http://square.github.io/dagger` and `http://google.github.io/dagger` are served by the same IP
 * address, the two URLs identify different resources.
 *
 * ### Port
 *
 * The port used to connect to the web server. By default this is 80 for HTTP and 443 for HTTPS.

	reflectorName := "storage/cacher.go:" + config.ResourcePrefix

	reflector := cache.NewNamedReflector(reflectorName, listerWatcher, obj, watchCache, 0)
	// Configure reflector's pager to for an appropriate pagination chunk size for fetching data from
	// storage. The pager falls back to full list if paginated list calls fail due to an "Expired" error.
	reflector.WatchListPageSize = storageWatchListPageSize

 * find it easier to use a framework. Frameworks automate the process, often adding features like
 * monitoring, debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *
 * <p>If you do chain your operations manually, you may want to use {@link FluentFuture}.
 *
 * @author Kevin Bourrillion
 * @author Nishant Thakkar
 * @author Sven Mawson

    srcs = [
        "xla_kernel_creator.cc",
    ],
    hdrs = [
        "xla_kernel_creator.h",
    ],
    visibility = [
        ":internal",
        "//tensorflow/core/common_runtime/eager:__pkg__",
    ],
    deps = [
        ":common",
        ":compilability_check_util",
        ":compilation_passes",
        ":flags",
        ":jit_compilation_passes",

See the <<compatibility.adoc#compatibility, Compatibility Matrix>> for details about other versions.

==== Eager evaluation of `Configuration` attributes

 * find it easier to use a framework. Frameworks automate the process, often adding features like
 * monitoring, debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *
 * <p>If you do chain your operations manually, you may want to use {@link FluentFuture}.
 *
 * @author Kevin Bourrillion
 * @author Nishant Thakkar
 * @author Sven Mawson

from tensorflow.core.framework import function_pb2
from tensorflow.core.framework import graph_pb2
from tensorflow.core.framework import node_def_pb2
from tensorflow.python.client import session
from tensorflow.python.eager import def_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_spec
from tensorflow.python.lib.io import file_io