*   `tf.train.Checkpoint`:
    *   Now accepts a `root` argument in the initialization, which generates a
        checkpoint with a root object. This allows users to create a
        `Checkpoint` object that is compatible with Keras `model.save_weights()`
        and `model.load_weights`. The checkpoint is also compatible with the
        checkpoint saved in the `variables/` folder in the SavedModel.

message NodeConfigStatus {
  // Assigned reports the checkpointed config the node will try to use.
  // When Node.Spec.ConfigSource is updated, the node checkpoints the associated
  // config payload to local disk, along with a record indicating intended
  // config. The node refers to this record to choose its config checkpoint, and
  // reports this record in Assigned. Assigned only updates in the status after

        "@local_tsl//tsl/platform:status",
        "@local_tsl//tsl/platform:test",
        "@local_tsl//tsl/platform:test_main",
    ],
)

tf_cuda_library(
    name = "checkpoint_reader",
    srcs = ["checkpoint_reader.cc"],
    hdrs = ["checkpoint_reader.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":tf_status",
        ":tf_status_helper",
        "//tensorflow/core:framework",

}

void TF_MakeInternalErrorStatus(TF_Status* status, const char* errMsg) {
  status->status = tensorflow::errors::Internal(errMsg);
}

struct TF_CheckpointReader : public tensorflow::checkpoint::CheckpointReader {
  using tensorflow::checkpoint::CheckpointReader::CheckpointReader;
  std::vector<std::string> variable_list;
};

TF_CheckpointReader* TF_NewCheckpointReader(const char* filename,

        "//tensorflow/c/experimental/ops",
        "//tensorflow/c:c_api_experimental",
        "//tensorflow/c:c_api_internal",
        "//tensorflow/c:c_api_no_xla",
        "//tensorflow/c:checkpoint_reader",
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c:tf_status_helper",
        "//tensorflow/c:tf_tensor_internal",
        "//tensorflow/cc/saved_model:loader",

- Empty values are no longer assigned to undefined resources (CPU or memory) when storing the resources allocated to the pod in checkpoint. ([#117615](https://github.com/kubernetes/kubernetes/pull/117615), [@aheng-ch](https://github.com/aheng-ch))
- Fixed CEL estimated cost of `replace()` to handle a zero length replacement string correctly.