阶段1：正常情况实现加法运算
""" __author__="dazhi" 2021/3/5-12:35 """ import tensorflow as tf def tensorflow_demo(): """tensorflow Basic structure""" a = 2 b = 3 c = a+b print("The result of addition ",c) if __name__=="__main__": tensorflow_demo()
阶段2：在tensorflow的场景下实现加法运算
""" __author__="dazhi" 2021/3/5-12:35 """ import tensorflow as tf import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' def tensorflow_demo(): tf.compat.v1.disable_eager_execution() #ensure sess.run () can operate normally """tensorflow Basic structure""" a = 2 b = 3 c = a+b print("The result of addition ",c) #tensorflow Realize addition operation a1 = tf.constant(2) b1 = tf.constant(3) c1 = a1+b1 print("The result of addition ",c1) #Return call must be turned on to display results with tf.compat.v1.Session() as sess: c2 = sess.run(c1) print("The result of addition ", c2) return None if __name__=="__main__": tensorflow_demo()
阶段3：默认图
""" __author__="dazhi" 2021/3/5-12:35 """ import tensorflow as tf import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' def graph_demo(): tf.compat.v1.disable_eager_execution() #ensure sess.run () can operate normally """tensorflow Basic structure""" #tensorflow Realize addition operation a1 = tf.constant(2) b1 = tf.constant(3) c1 = a1+b1 print("The result of addition ", c1) #View default map #Method 1: call the method default_g=tf.compat.v1.get_default_graph() print("default_g :",default_g) #Method 2: view properties print(" a1 Graph properties ",a1.graph) print(" c1 Graph properties ",c1.graph) #Return call must be turned on to display results with tf.compat.v1.Session() as sess: c2 = sess.run(c1) print("The result of addition ", c2) print("sess Graph properties ", sess.graph) return None if __name__=="__main__": graph_demo()
阶段4：自定义图
""" __author__="dazhi" 2021/3/5-12:35 """ import tensorflow as tf import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' def graph_demo(): tf.compat.v1.disable_eager_execution() #ensure sess.run () can operate normally """tensorflow Basic structure""" #tensorflow Realize addition operation #Custom map new_g=tf.Graph() with new_g.as_default(): a1 = tf.constant(2) b1 = tf.constant(3) c1 = a1+b1 print("The result of addition ", c1) #View default map #Method 1: call the method default_g=tf.compat.v1.get_default_graph() print("default_g :",default_g) #Method 2: view properties print(" a1 Graph properties ",a1.graph) print(" c1 Graph properties ",c1.graph) #Return call must be turned on to display results with tf.compat.v1.Session(graph=new_g) as sess: c2 = sess.run(c1) print("The result of addition ", c2) print("sess Graph properties ", sess.graph) return None if __name__=="__main__": graph_demo()
阶段5：图结构的可视化
""" __author__="dazhi" 2021/3/5-12:35 """ import tensorflow as tf import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' def graph_demo(): tf.compat.v1.disable_eager_execution() #ensure sess.run () can operate normally """tensorflow Basic structure""" #tensorflow Realize addition operation #Custom map new_g=tf.Graph() with new_g.as_default(): a1 = tf.constant(2) b1 = tf.constant(3) c1 = a1+b1 #Return call must be turned on to display results with tf.compat.v1.Session(graph=new_g) as sess: c2 = sess.run(c1) #Write the graph to the locally generated events file tf.compat.v1.summary.FileWriter("./tmp/summary",graph=sess.graph) return None if __name__=="__main__": graph_demo()
阶段6：修改指令名称
""" __author__="dazhi" 2021/3/5-12:35 """ import tensorflow as tf import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' def graph_demo(): tf.compat.v1.disable_eager_execution() #ensure sess.run () can operate normally """tensorflow Basic structure""" #tensorflow Realize addition operation #Custom map new_g=tf.Graph() with new_g.as_default(): a1 = tf.constant(2,name="wen") b1 = tf.constant(3,name="xue") c1 = tf.add(a1,b1,name="zhi") #Return call must be turned on to display results with tf.compat.v1.Session(graph=new_g) as sess: c2 = sess.run(c1) #Write the graph to the locally generated events file tf.compat.v1.summary.FileWriter("./tmp/summary",graph=sess.graph) return None if __name__=="__main__": graph_demo()
阶段7：placeholder操作
""" __author__="dazhi" 2021/3/5-18:46 """ import tensorflow as tf import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' def graph_demo(): tf.compat.v1.disable_eager_execution() #ensure sess.run () can operate normally """tensorflow Basic structure""" #tensorflow Realize addition operation new_g=tf.Graph() with new_g.as_default(): a1 = tf.compat.v1.placeholder(tf.float32) b1 = tf.compat.v1.placeholder(tf.float32) c1 = tf.add(a1,b1) #Return call must be turned on to display results with tf.compat.v1.Session(graph=new_g) as sess: #run placeholder c2 = sess.run(c1,feed_dict={a1:2,b1:23}) print("The value of c2 ",c2) return None if __name__=="__main__": graph_demo()
