code: def _on_train_begin(original_fn, recorder, *args, **kwargs):
      original_fn(recorder, *args, **kwargs)
      if not PatchFastaiV1._current_task:
          return
      # noinspection PyBroadException
      try:
          PatchFastaiV1.__metrics_names[id(recorder)] = (
              ["train_loss"]
              if recorder.no_val
              else ["train_loss", "valid_loss"]
          )
          PatchFastaiV1.__metrics_names[
              id(recorder)
          ] += recorder.metrics_names
      except Exception:
          pass
  
imports: import sys
  import numpy
  from clearml.utilities.version import Version
  from .None import _patched_call
  from .tensorflow_bind import WeightsGradientHistHelper
  from ..import_bind import PostImportHookPatching
  from ...debugging.log import LoggerRoot
  from .tensorflow_bind import IsTensorboardInit
label_desc: Use image node_id 3 for calling the PatchFastaiV1 obj's underlying member method code with example usage: obj._on_train_begin(original_fn, recorder) without return types