图形中的节点名称重复:'conv2d_0/kernel/Adam' [英] Duplicate node name in graph: 'conv2d_0/kernel/Adam'

问题描述

我只是通过该代码保存了一个模型:

I just saved a model, by that code:

def train():    
with tf.Session() as sess:
    saver = tf.train.Saver(max_to_keep = 2)
    Loss = myYoloLoss([Scale1,Scale2,Scale3],[Y1, Y2 ,Y3])
    opt = tf.train.AdamOptimizer(2e-4).minimize(Loss)
    init = tf.global_variables_initializer()
    sess.run(init)
    imageNum = 0
    Num = 0
    while(1):
        #get batchInput
        batchImg,batchScale1,batchScale2,batchScale3 = getBatchImage(batchSize = BATCHSIZE)
        for epoch in range(75):
            _ , epochloss = sess.run([opt,Loss],feed_dict={X:batchImg,Y1:batchScale1,Y2:batchScale2,Y3:batchScale3})
            if(epoch%15 == 0):
                print(epochloss)
        imageNum = imageNum + BATCHSIZE
        Num = Num + 1
        if(Num%4 == 0):
            saver.save(sess,MODELPATH + 'MyModle__' + str(imageNum))            
        if(os.path.exists(STOPFLAGPATH)):
            saver.save(sess,MODELPATH + 'MyModle__Stop_' + str(imageNum))   
            print('checked stopfile,stop')
            break
return 0

然后我得到一些文件:

And then I get some files:

MyModle__Stop_288.index
MyModle__Stop_288.meta
MyModle__Stop_288.data-00000-of-00001
检查点

MyModle__Stop_288.index
MyModle__Stop_288.meta
MyModle__Stop_288.data-00000-of-00001
checkpoint

然后我继续训练该模型:

Then I continue to train this model:

def reTrain():
with tf.Session() as sess:
    loder = tf.train.import_meta_graph('E:/MyYoloModel/MyModle__Stop_288.meta')
    loder.restore(sess, tf.train.latest_checkpoint('E:/MyYoloModel/'))
    graph = tf.get_default_graph()
    X = graph.get_tensor_by_name("X:0")
    Y1 = graph.get_tensor_by_name("Y1:0")
    Y2 = graph.get_tensor_by_name("Y2:0")
    Y3 = graph.get_tensor_by_name("Y3:0")
    Scale1 = graph.get_tensor_by_name("Scale1:0")
    Scale2 = graph.get_tensor_by_name("Scale2:0")
    Scale3 = graph.get_tensor_by_name("Scale3:0")  
    Loss = myYoloLoss([Scale1,Scale2,Scale3],[Y1, Y2 ,Y3])
    #error code 
    opt = tf.train.AdamOptimizer(2e-4).minimize(Loss)
    init = tf.global_variables_initializer()
    sess.run(init)
    batchImg,batchScale1,batchScale2,batchScale3 = getBatchImage(batchSize = BATCHSIZE)
    for epoch in range(10):
        _ ,epochloss = sess.run([opt,Loss],feed_dict={X:batchImg,Y1:batchScale1,Y2:batchScale2,Y3:batchScale3})
        print(epochloss)

将发生此错误: ValueError:图形中的节点名称重复:'conv2d_0/kernel/Adam'
如何解决?

And it will be occur this error: ValueError: Duplicate node name in graph: 'conv2d_0/kernel/Adam'
How can fix it?

推荐答案

我遇到了类似的错误:

ValueError: Duplicate node name in graph: 'packed/0'

我认为此错误是由于Tensorfow版本与您所使用的代码不同而引起的. 在导入软件包时尝试降级tf版本:

I think that this Error is due to a different Tensorfow Version than the code was programmed you are using. Try to downgrade the tf version while importin the package:

import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()

这个琐碎的解决方案能够消除问题

this trivial solutian was able to eliminate the problem

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