code: def put(self, chunk, data_input_coordinator):
      if not self._validate_chunk(chunk):
          return
  
      while data_input_coordinator.is_active():
          try:
              qsize = self._internal_queue.qsize()
              if (
                  qsize < 2
                  and (time.time() - self._last_warning) > LOG_INT_SECS
              ):
                  log.warning(
                      "Warning, data loading lagging behind: "
                      + "queue size={}, name={}".format(
                          qsize, self._input_source_name
                      )
                  )
                  self._last_warning = time.time()
              self._counter += 1
              self._internal_queue.put(chunk, block=True, timeout=0.5)
              self._log_inputs_per_interval(chunk[0].shape[0])
              return
          except Queue.Full:
              log.debug("Queue full: stalling fetchers...")
              continue
  
imports: import queue
  from itertools import chain
  import logging
  import threading
  import numpy
  import time
  from caffe2.python import workspace, core, scope, utils
  from caffe2.proto import caffe2_pb2
  from caffe2.python.parallel_workers import Metrics, State, WorkerCoordinator, GlobalWorkerCoordinator, Worker, run_worker
label_desc: Use image node_id 7 for calling the BatchFeeder obj's underlying member method code with example usage: obj.put(chunk, data_input_coordinator) without return types