code: def forward(self, context):
      assert context.shape[-1] == self.context_length
      out = self.net(context)
      return out.unsqueeze(1)
  
file_path: gluonts/test/torch/model/test_torch_predictor.py
imports: import tempfile
  from pathlib import Path
  import torch
  import torch.nn
  from gluonts.core.component import validated
  from gluonts.dataset.field_names import FieldName
  from gluonts.model.predictor import Predictor
  from gluonts.torch.model.predictor import PyTorchPredictor
  from gluonts.transform import InstanceSplitter, TestSplitSampler
label_desc: Use image node_id 2 for calling the RandomNetwork obj's underlying member method code with example usage: obj.forward(context) and returns: out