code: def hyperparameters():
      return dict(
          ctx="cpu",
          epochs=1,
          learning_rate=1e-3,
          hidden_dim=16,
          variable_dim=4,
          num_heads=2,
      )
  
file_path: gluonts/test/mx/model/tft/test_model.py
imports: import pytest
  from gluonts.model.forecast import QuantileForecast
  from gluonts.mx.model.predictor import GluonPredictor
  from gluonts.mx import TemporalFusionTransformerEstimator
  from gluonts.mx.model.tft._network import TemporalFusionTransformerPredictionNetwork
label_desc: Use image node_id 1 for calling a global function with example usage: hyperparameters() and returns: dict