disable Tensorflow eager execution












3















I am trying to learn TF and working with placeholders. When I tried to create the placeholder, I got an error: RuntimeError: tf.placeholder() is not compatible with eager execution which makes sense as placeholders are not executable immediately.



My struggle is in finding how to turn eager execution off?



I have never turned eager execution on in the first place so not sure how it happened. Is there an opposite to tf.disable_eager_execution()?



Thank you!






tensorflow







share|improve this question

























  • That doesn't seem right, eager execution should not be enabled by default (although it seems that will change in TensorFlow 2.x). I don't think there is anything to disable eager execution, since it is supposed to either be enabled at the beginning of your program or not used at all. There must be something in your program enabling it, maybe some imported module. You can use tf.executing_eagerly() (e.g. after each import) to try to find at what point it gets enabled.

    – jdehesa
    Nov 22 '18 at 12:00
















3















I am trying to learn TF and working with placeholders. When I tried to create the placeholder, I got an error: RuntimeError: tf.placeholder() is not compatible with eager execution which makes sense as placeholders are not executable immediately.



My struggle is in finding how to turn eager execution off?



I have never turned eager execution on in the first place so not sure how it happened. Is there an opposite to tf.disable_eager_execution()?



Thank you!






tensorflow







share|improve this question

























  • That doesn't seem right, eager execution should not be enabled by default (although it seems that will change in TensorFlow 2.x). I don't think there is anything to disable eager execution, since it is supposed to either be enabled at the beginning of your program or not used at all. There must be something in your program enabling it, maybe some imported module. You can use tf.executing_eagerly() (e.g. after each import) to try to find at what point it gets enabled.

    – jdehesa
    Nov 22 '18 at 12:00














3












3








3








I am trying to learn TF and working with placeholders. When I tried to create the placeholder, I got an error: RuntimeError: tf.placeholder() is not compatible with eager execution which makes sense as placeholders are not executable immediately.



My struggle is in finding how to turn eager execution off?



I have never turned eager execution on in the first place so not sure how it happened. Is there an opposite to tf.disable_eager_execution()?



Thank you!






tensorflow







share|improve this question
















I am trying to learn TF and working with placeholders. When I tried to create the placeholder, I got an error: RuntimeError: tf.placeholder() is not compatible with eager execution which makes sense as placeholders are not executable immediately.



My struggle is in finding how to turn eager execution off?



I have never turned eager execution on in the first place so not sure how it happened. Is there an opposite to tf.disable_eager_execution()?



Thank you!






tensorflow




tensorflow






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 22 '18 at 15:19









Anubhav Singh

1431212




1431212










asked Nov 22 '18 at 11:24









Lloyd RaynerLloyd Rayner

162




162













  • That doesn't seem right, eager execution should not be enabled by default (although it seems that will change in TensorFlow 2.x). I don't think there is anything to disable eager execution, since it is supposed to either be enabled at the beginning of your program or not used at all. There must be something in your program enabling it, maybe some imported module. You can use tf.executing_eagerly() (e.g. after each import) to try to find at what point it gets enabled.

    – jdehesa
    Nov 22 '18 at 12:00



















  • That doesn't seem right, eager execution should not be enabled by default (although it seems that will change in TensorFlow 2.x). I don't think there is anything to disable eager execution, since it is supposed to either be enabled at the beginning of your program or not used at all. There must be something in your program enabling it, maybe some imported module. You can use tf.executing_eagerly() (e.g. after each import) to try to find at what point it gets enabled.

    – jdehesa
    Nov 22 '18 at 12:00

















That doesn't seem right, eager execution should not be enabled by default (although it seems that will change in TensorFlow 2.x). I don't think there is anything to disable eager execution, since it is supposed to either be enabled at the beginning of your program or not used at all. There must be something in your program enabling it, maybe some imported module. You can use tf.executing_eagerly() (e.g. after each import) to try to find at what point it gets enabled.

– jdehesa
Nov 22 '18 at 12:00





That doesn't seem right, eager execution should not be enabled by default (although it seems that will change in TensorFlow 2.x). I don't think there is anything to disable eager execution, since it is supposed to either be enabled at the beginning of your program or not used at all. There must be something in your program enabling it, maybe some imported module. You can use tf.executing_eagerly() (e.g. after each import) to try to find at what point it gets enabled.

– jdehesa
Nov 22 '18 at 12:00












1 Answer
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oldest

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Assume you are using Tensorflow 2.0 preview release which has eager execution enabled by default. There is a disable_eager_execution() in v1 API, which you can put in the front of your code like:



import tensorflow as tf



tf.compat.v1.disable_eager_execution()


On the other hand, if you are not using 2.0 preview, please check if you accidentally enabled eager execution somewhere.






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    Assume you are using Tensorflow 2.0 preview release which has eager execution enabled by default. There is a disable_eager_execution() in v1 API, which you can put in the front of your code like:



    import tensorflow as tf
    

    
tf.compat.v1.disable_eager_execution()


    On the other hand, if you are not using 2.0 preview, please check if you accidentally enabled eager execution somewhere.






    share|improve this answer






























      1














      Assume you are using Tensorflow 2.0 preview release which has eager execution enabled by default. There is a disable_eager_execution() in v1 API, which you can put in the front of your code like:



      import tensorflow as tf
      

      
tf.compat.v1.disable_eager_execution()


      On the other hand, if you are not using 2.0 preview, please check if you accidentally enabled eager execution somewhere.






      share|improve this answer




























        1












        1








        1







        Assume you are using Tensorflow 2.0 preview release which has eager execution enabled by default. There is a disable_eager_execution() in v1 API, which you can put in the front of your code like:



        import tensorflow as tf
        

        
tf.compat.v1.disable_eager_execution()


        On the other hand, if you are not using 2.0 preview, please check if you accidentally enabled eager execution somewhere.






        share|improve this answer















        Assume you are using Tensorflow 2.0 preview release which has eager execution enabled by default. There is a disable_eager_execution() in v1 API, which you can put in the front of your code like:



        import tensorflow as tf
        

        
tf.compat.v1.disable_eager_execution()


        On the other hand, if you are not using 2.0 preview, please check if you accidentally enabled eager execution somewhere.







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Jan 8 at 22:54









        kenlukas

        1,38931317




        1,38931317










        answered Jan 8 at 19:08









        user2117745user2117745

        212




        212
































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