absl::Span<const int64_t> shape, const TF_DataType dtype)
      : device_(device),
        tensors_(std::move(tensors)),
        shape_(std::vector<int64_t>(shape.begin(), shape.end())),
        dtype_(dtype) {}
  ParallelTensor(const ParallelDevice& device,
                 std::vector<TensorHandlePtr> tensors, const TF_DataType dtype)
      : device_(device),

              combined_shape.SetDimWithStatus(axis_index, axis_length));
        }
      }
    }
    auto dim_sizes = combined_shape.dim_sizes();
    shape_ = std::vector<int64_t>(dim_sizes.begin(), dim_sizes.end());
  }
  *shape = &*shape_;
  return absl::OkStatus();
}

absl::Status ParallelTensor::SummarizeValue(std::string& summary) {
  summary = "{";

	gorm.Dialector
}

type printSQLLogger struct {
	logger.Interface
}

func (l *printSQLLogger) Trace(ctx context.Context, begin time.Time, fc func() (sql string, rowsAffected int64), err error) {
	sql, _ := fc()
	fmt.Println(sql + ";")
	l.Interface.Trace(ctx, begin, fc, err)
}

// GormDataTypeInterface gorm data type interface
type GormDataTypeInterface interface {
	GormDBDataType(*gorm.DB, *schema.Field) string

func unwrapAll(err error) error {
	for {
		werr := errors.Unwrap(err)
		if werr == nil {
			return err
		}
		err = werr
	}
}

// stringsHasPrefixFold tests whether the string s begins with prefix ignoring case.
func stringsHasPrefixFold(s, prefix string) bool {
	// Test match with case first.
	return len(s) >= len(prefix) && (s[0:len(prefix)] == prefix || strings.EqualFold(s[0:len(prefix)], prefix))
}

  //
  // The certificate is encoded in PEM format.
  //
  // When serialized as JSON or YAML, the data is additionally base64-encoded, so it consists of:
  //
  //     base64(
  //     -----BEGIN CERTIFICATE-----
  //     ...
  //     -----END CERTIFICATE-----
  //     )
  //
  // +listType=atomic
  // +optional
  optional bytes certificate = 2;
}

// values within the array are emitted to the stream, then the array
// containing those values is emitted.
func (d *Decoder) Recursive() *Decoder {
	d.emitRecursive = true
	return d
}

// Stream begins decoding from the underlying reader and returns a
// streaming MetaValue channel for JSON values at the configured emitDepth.
func (d *Decoder) Stream() chan *MetaValue {
	go d.decode()
	return d.metaCh
}

    // unless taskFuture is cancelled, in which case it falls back to oldFuture. This ensures that
    // if the future we return is cancelled, we don't begin execution of the next task until after
    // oldFuture completes.
    Runnable listener =
        () -> {
          if (taskFuture.isDone()) {

  TapeVSpace vspace(ctx);
  std::vector<int64_t> target_tensor_ids = MakeTensorIDList(targets);
  std::vector<int64_t> source_tensor_ids = MakeTensorIDList(sources);
  tensorflow::gtl::FlatSet<int64_t> sources_set(source_tensor_ids.begin(),
                                                source_tensor_ids.end());
  std::unordered_map<int64_t, TapeTensor> sources_that_are_targets;
  for (int i = 0; i < target_tensor_ids.size(); ++i) {

  // which run an apiserver which might need to make calls to this
  // webhook. Such installs are likely to be non-portable, i.e., not easy
  // to turn up in a new cluster.
  //
  // The scheme must be "https"; the URL must begin with "https://".
  //
  // A path is optional, and if present may be any string permissible in
  // a URL. You may use the path to pass an arbitrary string to the
  // webhook, for example, a cluster identifier.
  //

		return
	}

	type Smallint int8

	type MigrateInt struct {
		Int8 Smallint
	}

	tracer := Tracer{
		Logger: DB.Config.Logger,
		Test: func(ctx context.Context, begin time.Time, fc func() (sql string, rowsAffected int64), err error) {
			sql, _ := fc()
			if strings.HasPrefix(sql, "ALTER TABLE \"migrate_ints\" ALTER COLUMN \"int8\" TYPE smallint") {