code: def create_training_network(
      self, device: torch.device
  ) -> TempFlowTrainingNetwork:
      return TempFlowTrainingNetwork(
          input_size=self.input_size,
          target_dim=self.target_dim,
          num_layers=self.num_layers,
          num_cells=self.num_cells,
          cell_type=self.cell_type,
          history_length=self.history_length,
          context_length=self.context_length,
          prediction_length=self.prediction_length,
          dropout_rate=self.dropout_rate,
          cardinality=self.cardinality,
          embedding_dimension=self.embedding_dimension,
          lags_seq=self.lags_seq,
          scaling=self.scaling,
          flow_type=self.flow_type,
          n_blocks=self.n_blocks,
          hidden_size=self.hidden_size,
          n_hidden=self.n_hidden,
          conditioning_length=self.conditioning_length,
          dequantize=self.dequantize,
      ).to(device)
  
imports: from typing import List, Optional
  import torch
  from gluonts.core.component import validated
  from gluonts.dataset.field_names import FieldName
  from gluonts.time_feature import TimeFeature
  from gluonts.torch.model.predictor import PyTorchPredictor
  from gluonts.torch.util import copy_parameters
  from gluonts.model.predictor import Predictor
  from gluonts.torch.model.predictor import PyTorchPredictor
  from gluonts.transform import Transformation, Chain, InstanceSplitter, ValidationSplitSampler, TestSplitSampler, ExpectedNumInstanceSampler, RenameFields, AsNumpyArray, ExpandDimArray, AddObservedValuesIndicator, AddTimeFeatures, VstackFeatures, SetFieldIfNotPresent, TargetDimIndicator
  from pts import Trainer
  from pts.feature import fourier_time_features_from_frequency, lags_for_fourier_time_features_from_frequency
  from pts.model.utils import get_module_forward_input_names
  from pts.model import PyTorchEstimator
  from .tempflow_network import TempFlowTrainingNetwork, TempFlowPredictionNetwork
label_desc: Use image node_id 4 for calling the TempFlowEstimator obj's underlying member method code with example usage: obj.create_training_network(device) and returns: TempFlowTrainingNetwork