code: def get_data(self):
      x = tf.random_normal(
          (BATCH_SIZE, TARGET_LENGTH, N_CHANNELS), mean=0.0, stddev=1.0
      )
      x_lengths = np.random.randint(
          low=1, high=TARGET_LENGTH + 1, size=BATCH_SIZE
      )
      x_mask = tf.sequence_mask(
          x_lengths, maxlen=TARGET_LENGTH, dtype=tf.float32
      )
      return x, x_mask
  
file_path: tensor2tensor/tensor2tensor/layers/transformer_glow_layers_ops_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from tensor2tensor.layers import transformer_glow_layers_ops
  from tensor2tensor.models import transformer
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the TransformerFlowOpsTest obj's underlying member method code with example usage: obj.get_data() and returns: x,  x_mask