code: def from_config(
      cls, config: Config, tensorizers: Dict[str, Tensorizer]
  ):
      return cls(
          [
              ConsoleChannel(),
              CompositionalSeq2SeqFileChannel(
                  [Stage.TEST],
                  config.output_path,
                  tensorizers,
                  config.accept_flat_intents_slots,
              ),
          ],
          config.log_gradient,
          tensorizers,
          config.accept_flat_intents_slots,
      )
  
imports: from typing import Dict, List, Optional
  from pytext.common.constants import BatchContext, DatasetFieldName, RawExampleFieldName, Stage
  from pytext.data.data_structures.annotation import Annotation, INVALID_TREE_STR
  from pytext.data.tensorizers import Tensorizer
  from pytext.metric_reporters.channel import Channel, ConsoleChannel
  from pytext.metric_reporters.compositional_metric_reporter import CompositionalMetricReporter
  from pytext.metric_reporters.metric_reporter import MetricReporter
  from pytext.metric_reporters.seq2seq_metric_reporter import Seq2SeqFileChannel, Seq2SeqMetricReporter
  from pytext.metrics.intent_slot_metrics import compute_all_metrics, FramePredictionPair
label_desc: Use image node_id 2 for calling the Seq2SeqCompositionalMetricReporter obj's underlying member method code with example usage: obj.from_config(cls, config, tensorizers) and returns: cls