code: def get_test_batch_features_and_labels_numpy(input_dim, output_dim):
      input_shape = [2, 7, input_dim]
      output_shape = [2, 7, output_dim]
      input_values = np.arange(
          np.prod(input_shape), dtype=np.float32
      ) / np.prod(input_shape)
      output_values = np.arange(
          np.prod(output_shape), dtype=np.float32
      ) / np.prod(output_shape)
      return input_values.reshape(input_shape), output_values.reshape(
          output_shape
      )
  
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 1 for calling a global function with example usage: get_test_batch_features_and_labels_numpy(input_dim, output_dim) and returns: input_values,  output_values