};

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);
}

void LoggedTensorDeallocator(void* data) {

    TF_Status* out_status) const {
  absl::Status status;
  if (reader_ != nullptr) {
    status = reader_->GetTensor(name, out_tensor);
  } else {
    tensorflow::DataType dtype;
    tensorflow::TensorShape shape;
    status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape);
    if (status.ok()) {
      out_tensor->reset(new Tensor(dtype, shape));
      status = v2_reader_->Lookup(name, out_tensor->get());

            return null;
        })).status(Status.OK).result());
    }

    // PUT /api/admin/fileauth/setting
    @Execute
    public JsonResponse<ApiResult> put$setting(final CreateBody body) {
        validateApi(body, messages -> {});
        if (!isValidFileConfigId(body.fileConfigId)) {
            return asJson(new ApiErrorResponse().message("invalid fileConfigId").status(Status.BAD_REQUEST).result());
        }

                              status);
    CHECK_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

    matmul = TFE_NewOp(ctx, "MatMulFunction", status);
    ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
    TFE_OpAddInput(matmul, h0_task0, status);
    ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

package replication

import (
	"encoding/xml"
)

// ReplicaModifications specifies if replica modification sync is enabled
type ReplicaModifications struct {
	Status Status `xml:"Status" json:"Status"`
}

// SourceSelectionCriteria - specifies additional source selection criteria in ReplicationConfiguration.
type SourceSelectionCriteria struct {

        return asJson(
                new ApiResult.ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                        .total(pager.getAllRecordCount()).status(ApiResult.Status.OK).result());
    }

    // GET /api/admin/relatedcontent/setting/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String id) {
        return asJson(

	statusCmd := &cobra.Command{
		Use:   "proxy-status [<type>/]<name>[.<namespace>]",
		Short: "Retrieves the synchronization status of each Envoy in the mesh",
		Long: `
Retrieves last sent and last acknowledged xDS sync from Istiod to each Envoy in the mesh
`,
		Example: `  # Retrieve sync status for all Envoys in a mesh
  istioctl proxy-status

  # Retrieve sync status for Envoys in a specific namespace

  TF_WritableFileHandle* h;
  TF_Status* status = TF_NewStatus();
  TF_NewWritableFile(full_path, &h, status);
  if (TF_GetCode(status) != TF_OK) {
    fprintf(stderr, "TF_NewWritableFile failed: %s\n", TF_Message(status));
    return 1;
  }
  fprintf(stderr, "wrote %s\n", full_path);
  free(full_path);
  TF_CloseWritableFile(h, status);
  if (TF_GetCode(status) != TF_OK) {

// the error and a nullptr is returned.
TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_TensorHandleCopySharingTensor(
    TFE_TensorHandle* h, TF_Status* status);

// This function will block till the operation that produces `h` has
// completed. The memory returned might alias the internal memory used by
// TensorFlow. Hence, callers should not mutate this memory (for example by

	"bytes"
	"encoding/xml"
)

// Status represents Enabled/Disabled status
type Status string

// Supported status types
const (
	Enabled  Status = "Enabled"
	Disabled Status = "Disabled"
)

// DeleteMarkerReplication - whether delete markers are replicated - https://docs.aws.amazon.com/AmazonS3/latest/dev/replication-add-config.html
type DeleteMarkerReplication struct {