docstr: Report metrics data to the master.
  
  Arguments:
      group (string): metrics group name. Can be used to partition metrics
          into different logical groups or time series.
          "training" and "validation" group names map to built-in training
          and validation time series. Note: Group cannot contain ``.`` character.
      steps_completed (int): global step number, e.g. the number of batches processed.
      metrics (Dict[str, Any]): metrics data dictionary. Must be JSON-serializable.
          When reporting metrics with the same ``group`` and ``steps_completed`` values,
          the dictionary keys must not overlap.
code: def report_metrics(
      self, group: str, steps_completed: int, metrics: Dict[str, Any]
  ) -> None:
      """
      Report metrics data to the master.
  
      Arguments:
          group (string): metrics group name. Can be used to partition metrics
              into different logical groups or time series.
              "training" and "validation" group names map to built-in training
              and validation time series. Note: Group cannot contain ``.`` character.
          steps_completed (int): global step number, e.g. the number of batches processed.
          metrics (Dict[str, Any]): metrics data dictionary. Must be JSON-serializable.
              When reporting metrics with the same ``group`` and ``steps_completed`` values,
              the dictionary keys must not overlap.
      """
      self._core_context.train.report_metrics(
          group=group,
          steps_completed=steps_completed,
          metrics=metrics,
      )
  
imports: import abc
  import json
  import logging
  import math
  import os
  import pathlib
  import uuid
  import warnings
  from typing import TYPE_CHECKING, Any, ContextManager, Dict, Optional, Set, Sized, Type
  import torch
  import torch.distributed
  from torch import nn
  from torch.utils import data
  import determined
  from determined import common, core, pytorch
label_desc: Use image node_id 7 for calling the TorchBatchProcessorContext obj's underlying member method code with example usage: obj.report_metrics(group, steps_completed, metrics) without return types