class_docstr: common layer unittest 
class_docstr_tok: ["common","layer","unittest"]
docstr: test  conv pool
docstr_tok: ["test","conv","pool"]
code: def test_conv_pool(self):
      """test  conv pool"""
      # A 4D tensor [B, H, W, C]
      embedded_chars_expanded = tf.random_uniform(
          shape=[2, 7, 7, 1], dtype=tf.float32, maxval=1.0
      )
      filter_sizes = [3, 5]
      embedding_size = 3
      num_filters = 3
      sequence_length = 5
      output = cl.conv_pool(
          embedded_chars_expanded,
          filter_sizes,
          embedding_size,
          num_filters,
          sequence_length,
      )
      output_shape = [30, 6]
      self.assertAllEqual(tf.shape(output), output_shape)
  
file_path: delta/delta/layers/common_layers_test.py
imports: import delta.compat
  from absl import logging
  import common_layers
label_desc: Use image node_id 8 for calling the LossUtilTest obj's underlying member method code with example usage: obj.test_conv_pool() without return types