if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodeDailyAllTierStats Msgsize() is inaccurate")
	}

	vn := DailyAllTierStats{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodeDailyAllTierStats(b *testing.B) {
	v := DailyAllTierStats{}
	var buf bytes.Buffer

	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodeconnectReq Msgsize() is inaccurate")
	}

	vn := connectReq{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodeconnectReq(b *testing.B) {
	v := connectReq{}
	var buf bytes.Buffer

    ASSERT_EQ(errors::OK, s.code()) << s.message();
    ctx.reset(ctx_raw);
  }

  AbstractTensorHandlePtr x;
  {
    AbstractTensorHandle* x_raw = nullptr;
    Status s = TestScalarTensorHandle<float, TF_FLOAT>(ctx.get(), 1.0f, &x_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    x.reset(x_raw);
  }

  // Pseudo-code:
  //
  // tape.watch(x)
  // y = exp(x)

	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodeBatchJobRequest Msgsize() is inaccurate")
	}

	vn := BatchJobRequest{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodeBatchJobRequest(b *testing.B) {
	v := BatchJobRequest{}
	var buf bytes.Buffer

		// Use bufio Writer to prevent csv.Writer from allocating a new buffer.
		bufioWriter := bufioWriterPool.Get().(*bufio.Writer)
		defer func() {
			bufioWriter.Reset(xioutil.Discard)
			bufioWriterPool.Put(bufioWriter)
		}()

		bufioWriter.Reset(buf)
		opts := sql.WriteCSVOpts{
			FieldDelimiter: []rune(s3Select.Output.CSVArgs.FieldDelimiter)[0],
			Quote:          []rune(s3Select.Output.CSVArgs.QuoteCharacter)[0],

		levelToString[InfoLevel],
		levelToString[WarningLevel],
		levelToString[ErrorLevel],
		levelToString[CriticalLevel],
		levelToString[OffLevel])

	logCmd.PersistentFlags().BoolVarP(&reset, "reset", "r", reset, "Reset levels to default value (warning).")
	logCmd.PersistentFlags().StringVarP(&labelSelector, "selector", "l", "", "Label selector")
	logCmd.PersistentFlags().StringVar(&loggerLevelString, "level", loggerLevelString,

// These APIs are mainly to facilitate testing and are subject to change.
namespace internal {
Status Reset(AbstractOperation* op_, const char* op,
             const char* raw_device_name, ForwardOperation* forward_op_) {
  forward_op_->op_name = op;
  forward_op_->attrs.Reset(op);
  return op_->Reset(op, raw_device_name);
}
Status AddInput(AbstractOperation* op_, AbstractTensorHandle* input,

	if w == nil || w.closer == nil {
		return nil
	}
	w.streamWg.Wait()
	err := w.closer()
	w.closer = nil
	return err
}

// Reset and start writing to new writer.
// Close must have been called before this.
func (w *metacacheWriter) Reset(out io.Writer) {
	w.streamErr = nil
	w.creator = func() error {
		s2w := s2.NewWriter(out, s2.WriterBlockSize(w.blockSize), s2.WriterConcurrency(2))

		n.firstToDisconnect = time.Now()
	}
}

func (n *netPerfRX) ActiveConnections() uint64 {
	n.RLock()
	defer n.RUnlock()
	return n.activeConnections
}

func (n *netPerfRX) Reset() {
	n.Lock()
	defer n.Unlock()
	n.RX = 0
	n.RXSample = 0
	n.lastToConnect = time.Time{}
	n.firstToDisconnect = time.Time{}
}

// Reader to read random data.
type netperfReader struct {

      finished_execute_.wait(l);
    }
    if (TF_GetCode(status_.get()) != TF_OK) {
      TF_SetStatus(status, TF_GetCode(status_.get()),
                   TF_Message(status_.get()));
      // Reset the member `status_` so future op executions (after recovery from
      // the bad `status`) start with an OK status.
      TF_SetStatus(status_.get(), TF_OK, "");
    }
    cancellation_manager_ = nullptr;