docstr: List of all decoder variables in model (excluding static variables)
docstr_tok: ["List","of","all","decoder","variables","in","model","(","excluding","static","variables",")"]
code: def decoder_variables(self) -> List[str]:
      """
      List of all decoder variables in model (excluding static variables)
      """
      return self.variables_meta["model_config"][
          "time_varying_decoder_input"
      ]
  
imports: from typing import Dict, List, Optional, Sequence, Tuple, Union
  import numpy
  import pandas
  import torch
  from torch import nn
  from torch.nn import LSTM
  from darts import TimeSeries
  from darts.logging import get_logger, raise_if, raise_if_not, raise_log
  from darts.models.components import glu_variants, layer_norm_variants
  from darts.models.components.glu_variants import GLU_FFN
  from darts.models.forecasting.pl_forecasting_module import PLMixedCovariatesModule, io_processor
  from darts.models.forecasting.tft_submodels import _GateAddNorm, _GatedResidualNetwork, _InterpretableMultiHeadAttention, _MultiEmbedding, _VariableSelectionNetwork, get_embedding_size
  from darts.models.forecasting.torch_forecasting_model import MixedCovariatesTorchModel
  from darts.utils.data import MixedCovariatesSequentialDataset, MixedCovariatesTrainingDataset, TrainingDataset
  from darts.utils.likelihood_models import Likelihood, QuantileRegression
label_desc: Use image node_id 7 for calling the _TFTModule obj's underlying member method code with example usage: obj.decoder_variables() and returns: self