code: import tensorflow as tf
  
  w = tf.Variable(tf.random_normal(shape=(1, 4), stddev=0.35), name='weight')
  b = tf.Variable(tf.zeros([4]), name='bias')
  with tf.Session() as sess:
      tf.global_variables_initializer().run()
      print(w.eval(), b.eval())
  
  # partial initializer
  with tf.Session() as sess:
      tf.variables_initializer([w]).run()
      print(w.eval())
  
apis: tensorflow.zeros tensorflow.variables_initializer tensorflow.global_variables_initializer tensorflow.Session tensorflow.random_normal
api_extract: [(3, 'tensorflow.random_normal', 'tf.random_normal', ([], {'shape': '(1, 4)', 'stddev': '(0.35)'}), True, 'import tensorflow as tf\n'), (4, 'tensorflow.zeros', 'tf.zeros', (['[4]'], {}), True, 'import tensorflow as tf\n'), (5, 'tensorflow.Session', 'tf.Session', ([], {}), True, 'import tensorflow as tf\n'), (10, 'tensorflow.Session', 'tf.Session', ([], {}), True, 'import tensorflow as tf\n'), (6, 'tensorflow.global_variables_initializer', 'tf.global_variables_initializer', ([], {}), True, 'import tensorflow as tf\n'), (11, 'tensorflow.variables_initializer', 'tf.variables_initializer', (['[w]'], {}), True, 'import tensorflow as tf\n')]