tf.get_tensor_by_name(), some nodes of the graph are not exist











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these is some tensors and op like these:



x = tf.placeholder(....., name='input')
y = tf.placeholder(....., name='label')
...
fc_droop = tf.nn.dropout(....., name='fc1')
...
y_pred = tf.nn.softmax(....., name='predict')
...
train_step = tf.train.AdamOptimizer(lr).minimize(loss, name='train_step')


after training done, I save it as my model.
but when I restore it, and get the graph node by tf.get_tensor_by_name('xx:0') the 'input' 'label' 'predict' are all ok, but the 'fc1' 'train_step' get the err:



the name 'xx' refers to a tensor which does not exist



what's the problem, pls.










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  • welcome to StackOverflow; please review how to ask a good question, and please provide a minimal, complete, and verifiable example
    – landru27
    Nov 12 at 3:43















up vote
0
down vote

favorite












these is some tensors and op like these:



x = tf.placeholder(....., name='input')
y = tf.placeholder(....., name='label')
...
fc_droop = tf.nn.dropout(....., name='fc1')
...
y_pred = tf.nn.softmax(....., name='predict')
...
train_step = tf.train.AdamOptimizer(lr).minimize(loss, name='train_step')


after training done, I save it as my model.
but when I restore it, and get the graph node by tf.get_tensor_by_name('xx:0') the 'input' 'label' 'predict' are all ok, but the 'fc1' 'train_step' get the err:



the name 'xx' refers to a tensor which does not exist



what's the problem, pls.










share|improve this question
























  • welcome to StackOverflow; please review how to ask a good question, and please provide a minimal, complete, and verifiable example
    – landru27
    Nov 12 at 3:43













up vote
0
down vote

favorite









up vote
0
down vote

favorite











these is some tensors and op like these:



x = tf.placeholder(....., name='input')
y = tf.placeholder(....., name='label')
...
fc_droop = tf.nn.dropout(....., name='fc1')
...
y_pred = tf.nn.softmax(....., name='predict')
...
train_step = tf.train.AdamOptimizer(lr).minimize(loss, name='train_step')


after training done, I save it as my model.
but when I restore it, and get the graph node by tf.get_tensor_by_name('xx:0') the 'input' 'label' 'predict' are all ok, but the 'fc1' 'train_step' get the err:



the name 'xx' refers to a tensor which does not exist



what's the problem, pls.










share|improve this question















these is some tensors and op like these:



x = tf.placeholder(....., name='input')
y = tf.placeholder(....., name='label')
...
fc_droop = tf.nn.dropout(....., name='fc1')
...
y_pred = tf.nn.softmax(....., name='predict')
...
train_step = tf.train.AdamOptimizer(lr).minimize(loss, name='train_step')


after training done, I save it as my model.
but when I restore it, and get the graph node by tf.get_tensor_by_name('xx:0') the 'input' 'label' 'predict' are all ok, but the 'fc1' 'train_step' get the err:



the name 'xx' refers to a tensor which does not exist



what's the problem, pls.







tensorflow graph-theory






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edited Nov 13 at 5:15









Dominique Fortin

1,642816




1,642816










asked Nov 12 at 3:37









yang bai

1




1












  • welcome to StackOverflow; please review how to ask a good question, and please provide a minimal, complete, and verifiable example
    – landru27
    Nov 12 at 3:43


















  • welcome to StackOverflow; please review how to ask a good question, and please provide a minimal, complete, and verifiable example
    – landru27
    Nov 12 at 3:43
















welcome to StackOverflow; please review how to ask a good question, and please provide a minimal, complete, and verifiable example
– landru27
Nov 12 at 3:43




welcome to StackOverflow; please review how to ask a good question, and please provide a minimal, complete, and verifiable example
– landru27
Nov 12 at 3:43

















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