code: def _collect_layer_statistics(
      sym_block,
      data,
      collector,
      num_inputs,
      num_calib_batches=None,
      logger=None,
  ):
      if not isinstance(data, mx.gluon.data.DataLoader):
          raise ValueError(
              f"Only supports data as a type of DataLoader, while received type {str(type(data))}"
          )
      sym_block.register_op_hook(collector.collect, monitor_all=True)
      num_batches = 0
      for batch in data:
          if not isinstance(batch, list):
              batch = [batch]
          batch = _multilist_iterator(
              batch, lambda b: b.as_in_context(mx.cpu())
          )
          sym_block(*batch[:num_inputs])
          num_batches += 1
          if (
              num_calib_batches is not None
              and num_batches >= num_calib_batches
          ):
              break
      if logger is not None:
          logger.info(
              f"Collected statistics from {num_batches} batches"
          )
      return num_batches
  
imports: import abc
  import ctypes
  import logging
  import os
  import warnings
  import numpy
  import mxnet
  from ..base import _LIB, check_call, py_str
  from ..base import c_array, c_str, mx_uint, mx_real_t, c_str_array
  from ..base import SymbolHandle
  from ..symbol import Symbol
  from ..None import ndarray
  from ..io import DataDesc
  from ..device import cpu, Device
  from ..util import is_np_array, wrap_ctx_to_device_func
label_desc: Use image node_id 5 for calling a global function with example usage: _collect_layer_statistics(sym_block, data, collector, num_inputs, num_calib_batches, logger) and returns: num_batches