code: def _get_test_svdf_layer_weights():
      """Returns weights for an SvdfCell with following params.
  
      (units=4, memory_size=3, rank=1, use_bias=True).
      """
      return [
          np.array(
              [
                  [-0.31614766, 0.37929568, 0.27584907, -0.36453721],
                  [-0.35801932, 0.22514193, 0.27241215, -0.06950231],
                  [0.01112892, 0.12732419, 0.38735834, -0.10957076],
                  [-0.09451947, 0.15611194, 0.39319292, -0.03019224],
                  [0.39612538, 0.16101542, 0.21615031, 0.30737072],
              ],
              dtype=np.float32,
          ),
          np.array(
              [
                  [-0.31614769, 0.37929571, 0.27584907, -0.36453718],
                  [-0.35801938, 0.22514194, 0.27241215, -0.06950228],
                  [0.01112869, 0.12732419, 0.38735834, -0.10957073],
              ],
              dtype=np.float32,
          ),
          np.array(
              [-0.00316226, 0.00316225, -0.00316227, 0.00316227],
              dtype=np.float32,
          ),
      ]
  
file_path: model_search/model_search/ops/svdf_conv_test.py
imports: from absl import logging
  from model_search.ops import svdf_conv
  import numpy
  from six.moves import range
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling a global function with example usage: _get_test_svdf_layer_weights() and returns: list