#  - Total number of componentstatuses.
  #  - Number of "healthy" components.
  cs_status=$(kubectl_retry get componentstatuses -o template --template='{{range .items}}{{with index .conditions 0}}{{.type}}:{{.status}}{{end}}{{"\n"}}{{end}}') || true
  componentstatuses=$(echo "${cs_status}" | grep -c 'Healthy:') || true
  healthy=$(echo "${cs_status}" | grep -c 'Healthy:True') || true

  ~LoggedTensor() { TFE_DeleteTensorHandle(tensor); }
};

int64_t LoggedTensorDim(void* data, int dim_index, TF_Status* status) {
  return TFE_TensorHandleDim(reinterpret_cast<LoggedTensor*>(data)->tensor,
                             dim_index, status);
}

int LoggedTensorNumDims(void* data, TF_Status* status) {
  return TFE_TensorHandleNumDims(reinterpret_cast<LoggedTensor*>(data)->tensor,
                                 status);

#include "tensorflow/c/ops.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/core/framework/registration/registration.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/macros.h"

static void histogram_summary_shape_inference_fn(TF_ShapeInferenceContext* ctx,
                                                 TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");

// completion.
void SetAttr(TF_Graph* graph, TF_Operation* op, const char* attr_name,
             TF_Buffer* attr_value_proto, TF_Status* status);

// Clears the attr in the node_def Protocol Buffer and sets a status upon
// completion.
void ClearAttr(TF_Graph* graph, TF_Operation* op, const char* attr_name,
               TF_Status* status);

// Sets the experimental_type` field in the node_def Protocol Buffer.

restart() {
    stop
    start
}

reload() {
    restart
}

force_reload() {
    restart
}

rh_status() {
    # run checks to determine if the service is running or use generic status
    status -p $pidfile $prog
}

rh_status_q() {
    rh_status >/dev/null 2>&1
}


case "$1" in
    start)
        rh_status_q && exit 0
        $1
        ;;
    stop)

#include "tensorflow/c/experimental/saved_model/public/concrete_function_list.h"
#include "tensorflow/c/experimental/saved_model/public/signature_def_function.h"
#include "tensorflow/c/tf_status.h"

#ifdef __cplusplus
extern "C" {
#endif  // __cplusplus

// An opaque type representing a Tensorflow "SavedModel"
// (https://www.tensorflow.org/guide/saved_model) that we always pass by pointer

#include "tensorflow/c/ops.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/core/framework/registration/registration.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/macros.h"

static void merge_summary_shape_inference_fn(TF_ShapeInferenceContext* ctx,
                                             TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");

#include "tensorflow/c/experimental/saved_model/internal/saved_model_api_type.h"
#include "tensorflow/c/experimental/saved_model/internal/signature_def_function_type.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_status_internal.h"
#include "tensorflow/core/common_runtime/eager/context.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/errors.h"

#include "tensorflow/c/ops.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/core/framework/registration/registration.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/macros.h"

static void scalar_summary_shape_inference_fn(TF_ShapeInferenceContext* ctx,
                                              TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");

#include "tensorflow/c/tf_status.h"
#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/errors.h"

namespace tensorflow {

AbstractContext* BuildFunction(const char* fn_name) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(