import tensorflow as tf import os os.environ [ ' TF_CPP_MIN_LOG_LEVEL ' ] = ' 2 ' # modify TensorFlow warning level # Create a map containing op and tensor, in the context of FIG environment # op: function as long as the API is defined TensorFlow op # Tensor: refer to data that G = tf.Graph () Print (G) # FIG with g.as_default (): c = tf.constant(11.0) print(c.graph) # FIGS FIG interfere with each other and between A = tf.constant (5.0 ) b = tf.constant(6.0) sum1 = tf.add(a, b) Graph = tf.get_default_graph # View map objects are created by default Photo Print (Graph) # The Session session, only operation a picture with tf.Session () AS sess: Print (sess.run (sum1)) # output sum1 print(a.graph) # print(sum1.graph) # print(sess.graph) #