code: def _build_pipeline() -> cflearn.Pipeline:
      config = cflearn.DLConfig(
          "fcnn",
          dict(input_dim=1, output_dim=1),
          loss_name="mae",
      )
      return cflearn.Pipeline.init(config)
  
file_path: carefree-learn/tests/test_pipeline.py
imports: import os
  import torch
  import cflearn
  import unittest
  import numpy
label_desc: Use image node_id 1 for calling the TestPipeline obj's underlying member method code with example usage: obj._build_pipeline() and returns: cflearn