Reusing closed session in tensorflow
I made my model and using with clause I used the same in a session:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
How can I use the above session sess since it is closed outside the with clause?
python tensorflow
add a comment |
I made my model and using with clause I used the same in a session:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
How can I use the above session sess since it is closed outside the with clause?
python tensorflow
There is no way to reopen a session, and even if there was, it would be like starting a new session, because all the resources of the session (i.e. the state of the variables) are freed when it is closed. If you want to get back to a point where a closed session was before you need to checkpoint it before closing it and restore it later.
– jdehesa
Nov 19 '18 at 16:58
add a comment |
I made my model and using with clause I used the same in a session:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
How can I use the above session sess since it is closed outside the with clause?
python tensorflow
I made my model and using with clause I used the same in a session:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
How can I use the above session sess since it is closed outside the with clause?
python tensorflow
python tensorflow
edited Nov 19 '18 at 10:48
Tonechas
6,63392147
6,63392147
asked Nov 19 '18 at 9:25
Avinash SinghAvinash Singh
62
62
There is no way to reopen a session, and even if there was, it would be like starting a new session, because all the resources of the session (i.e. the state of the variables) are freed when it is closed. If you want to get back to a point where a closed session was before you need to checkpoint it before closing it and restore it later.
– jdehesa
Nov 19 '18 at 16:58
add a comment |
There is no way to reopen a session, and even if there was, it would be like starting a new session, because all the resources of the session (i.e. the state of the variables) are freed when it is closed. If you want to get back to a point where a closed session was before you need to checkpoint it before closing it and restore it later.
– jdehesa
Nov 19 '18 at 16:58
There is no way to reopen a session, and even if there was, it would be like starting a new session, because all the resources of the session (i.e. the state of the variables) are freed when it is closed. If you want to get back to a point where a closed session was before you need to checkpoint it before closing it and restore it later.
– jdehesa
Nov 19 '18 at 16:58
There is no way to reopen a session, and even if there was, it would be like starting a new session, because all the resources of the session (i.e. the state of the variables) are freed when it is closed. If you want to get back to a point where a closed session was before you need to checkpoint it before closing it and restore it later.
– jdehesa
Nov 19 '18 at 16:58
add a comment |
1 Answer
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You can run your model in the same with block:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
Or create session and use it without with:
sess = tf.Session()
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
Thanks for your answer Taras. But what if I have already used it in with block and i want to use the same session after with block. Is there any way to do that if i haven't saved the session inside the with block. Generally the error comes like "Attempted to use a closed session"
– Avinash Singh
Nov 19 '18 at 10:01
withblock is used for temporary variables and they are destroyed at the block end, so session is destroyed. So you should use one of methods I've proposed.
– Taras Khalymon
Nov 19 '18 at 10:08
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can run your model in the same with block:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
Or create session and use it without with:
sess = tf.Session()
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
Thanks for your answer Taras. But what if I have already used it in with block and i want to use the same session after with block. Is there any way to do that if i haven't saved the session inside the with block. Generally the error comes like "Attempted to use a closed session"
– Avinash Singh
Nov 19 '18 at 10:01
withblock is used for temporary variables and they are destroyed at the block end, so session is destroyed. So you should use one of methods I've proposed.
– Taras Khalymon
Nov 19 '18 at 10:08
add a comment |
You can run your model in the same with block:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
Or create session and use it without with:
sess = tf.Session()
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
Thanks for your answer Taras. But what if I have already used it in with block and i want to use the same session after with block. Is there any way to do that if i haven't saved the session inside the with block. Generally the error comes like "Attempted to use a closed session"
– Avinash Singh
Nov 19 '18 at 10:01
withblock is used for temporary variables and they are destroyed at the block end, so session is destroyed. So you should use one of methods I've proposed.
– Taras Khalymon
Nov 19 '18 at 10:08
add a comment |
You can run your model in the same with block:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
Or create session and use it without with:
sess = tf.Session()
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
You can run your model in the same with block:
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
Or create session and use it without with:
sess = tf.Session()
sess.run(tf.global_variables_initializer())
sess.run(your_model, feed_dict={...})
answered Nov 19 '18 at 9:52
Taras KhalymonTaras Khalymon
434
434
Thanks for your answer Taras. But what if I have already used it in with block and i want to use the same session after with block. Is there any way to do that if i haven't saved the session inside the with block. Generally the error comes like "Attempted to use a closed session"
– Avinash Singh
Nov 19 '18 at 10:01
withblock is used for temporary variables and they are destroyed at the block end, so session is destroyed. So you should use one of methods I've proposed.
– Taras Khalymon
Nov 19 '18 at 10:08
add a comment |
Thanks for your answer Taras. But what if I have already used it in with block and i want to use the same session after with block. Is there any way to do that if i haven't saved the session inside the with block. Generally the error comes like "Attempted to use a closed session"
– Avinash Singh
Nov 19 '18 at 10:01
withblock is used for temporary variables and they are destroyed at the block end, so session is destroyed. So you should use one of methods I've proposed.
– Taras Khalymon
Nov 19 '18 at 10:08
Thanks for your answer Taras. But what if I have already used it in with block and i want to use the same session after with block. Is there any way to do that if i haven't saved the session inside the with block. Generally the error comes like "Attempted to use a closed session"
– Avinash Singh
Nov 19 '18 at 10:01
Thanks for your answer Taras. But what if I have already used it in with block and i want to use the same session after with block. Is there any way to do that if i haven't saved the session inside the with block. Generally the error comes like "Attempted to use a closed session"
– Avinash Singh
Nov 19 '18 at 10:01
with block is used for temporary variables and they are destroyed at the block end, so session is destroyed. So you should use one of methods I've proposed.– Taras Khalymon
Nov 19 '18 at 10:08
with block is used for temporary variables and they are destroyed at the block end, so session is destroyed. So you should use one of methods I've proposed.– Taras Khalymon
Nov 19 '18 at 10:08
add a comment |
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There is no way to reopen a session, and even if there was, it would be like starting a new session, because all the resources of the session (i.e. the state of the variables) are freed when it is closed. If you want to get back to a point where a closed session was before you need to checkpoint it before closing it and restore it later.
– jdehesa
Nov 19 '18 at 16:58