limitations under the License.
==============================================================================*/

#include "tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h"

#include <memory>

#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/core/lib/core/status_test_util.h"

#include "google/cloud/storage/client.h"
#include "tensorflow/c/experimental/filesystem/filesystem_interface.h"
#include "tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h"
#include "tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h"
#include "tensorflow/c/tf_status.h"

void ParseGCSPath(const std::string& fname, bool object_empty_ok,

    ],
)

cc_library(
    name = "expiring_lru_cache",
    hdrs = ["expiring_lru_cache.h"],
    deps = [
        "//tensorflow/c:env",
        "//tensorflow/c:tf_status",
        "@com_google_absl//absl/base:core_headers",
        "@com_google_absl//absl/synchronization",
    ],
)

tf_cc_test(
    name = "expiring_lru_cache_test",
    size = "small",

          # match exactly sha256:<hash> because curl may include a ^M symbol at
          # the end of the line.
          # See https://cloud.google.com/architecture/using-container-images#exploring_image_manifests_digests_and_tags
          echo -n "Trying to map name $1 to tag $2... "
          digest=$(curl -s --head "https://gcr.io/v2/tensorflow-sigs/build/manifests/$2" | egrep -o "sha256:[[:alnum:]]*")

limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_EXPIRING_LRU_CACHE_H_
#define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_EXPIRING_LRU_CACHE_H_

#include <functional>
#include <list>
#include <map>
#include <memory>
#include <string>

#include "absl/base/thread_annotations.h"

  // Deletes the input tensor.
  virtual void DeleteGradient(Gradient* gradient) const = 0;
};

// Traces the execution of operations, doing eager garbage collection, and
// exporting a full trace so other code can do backpropagation. Not thread-safe.
template <typename Gradient, typename BackwardFunction, typename TapeTensor>
class GradientTape {
 public:

# errors.
# There is ongoing work on Bazel team's side to provide support for transitive
# shared libraries. As part of migrating to transitive shared libraries, we
# hope to provide a better mechanism for control over symbol exporting, and
# then tackle this issue again.
#
# TODO: Remove the following two lines once TF doesn't depend on Bazel wrapping
# all library archives in -whole_archive -no_whole_archive.

*   Added `keras.export.ExportArchive` class for low-level customization of the process of exporting SavedModel artifacts for inference. Both ways of exporting models are based on `tf.function` tracing and produce a TF program composed of TF ops. They are meant primarily for environments where the TF runtime is available, but not the Python interpreter, as is typical for production...