code: def glorot_init(self, shape):
      return tf.random_normal(
          shape=shape, stddev=1.0 / tf.sqrt(shape[0] / 2.0)
      )
  
file_path: cornac/cornac/models/pcrl/pcrl.py
imports: import numpy
  import scipy.sparse
  import scipy
  import tensorflow
label_desc: Use image node_id 2 for calling the PCRL_ obj's underlying member method code with example usage: obj.glorot_init(shape) and returns: tf