problem of tensorflow1.10.0 debugger WARNING2019 Community Moderator ElectionTensorflow: CUDA_VISIBLE_DEVICES doesn't seem to workTensorFlow is not using GPUNo shape error in tensorflow graph construction but getting shape mismatch error during graph computationtf.linspace runs on GPU but requires arguments on CPU memory (eager execution)?tensorflow nmt loading pre-trained models for inferencetfdebugger:Node name 'gradients/mean_pairwise_squared_error/Mul_grad/mul' is not found in partition graphs of deviceProblems with Seq2Seq model using RNN layer and GRU cells in KerasGetting InvalidArgumentError: NewRandomAccessFile failed to Create/Open while working with tf.data on the custom image datasetcouldn't run embedding network Keras with multiplue inputTensorflow fails to initialize batch normalization layer

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problem of tensorflow1.10.0 debugger WARNING



2019 Community Moderator ElectionTensorflow: CUDA_VISIBLE_DEVICES doesn't seem to workTensorFlow is not using GPUNo shape error in tensorflow graph construction but getting shape mismatch error during graph computationtf.linspace runs on GPU but requires arguments on CPU memory (eager execution)?tensorflow nmt loading pre-trained models for inferencetfdebugger:Node name 'gradients/mean_pairwise_squared_error/Mul_grad/mul' is not found in partition graphs of deviceProblems with Seq2Seq model using RNN layer and GRU cells in KerasGetting InvalidArgumentError: NewRandomAccessFile failed to Create/Open while working with tf.data on the custom image datasetcouldn't run embedding network Keras with multiplue inputTensorflow fails to initialize batch normalization layer










0















When I run the tfdbg commmand, run -f has_inf_or_nan, I got a warning:




WARNING:tensorflow:Failed to load partition graphs for device
/job:localhost/replica:0/task:0/device:GPU:0 from disk.




As a fallback, the client graphs will be used. This may cause mismatches in device names.



This warning is given by: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/debug/lib/debug_data.py in 782-784 lines,



How can I resolve it?
I don't find other people who have the same question with me.










share|improve this question









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    0















    When I run the tfdbg commmand, run -f has_inf_or_nan, I got a warning:




    WARNING:tensorflow:Failed to load partition graphs for device
    /job:localhost/replica:0/task:0/device:GPU:0 from disk.




    As a fallback, the client graphs will be used. This may cause mismatches in device names.



    This warning is given by: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/debug/lib/debug_data.py in 782-784 lines,



    How can I resolve it?
    I don't find other people who have the same question with me.










    share|improve this question









    New contributor




    Hao peng is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.






















      0












      0








      0








      When I run the tfdbg commmand, run -f has_inf_or_nan, I got a warning:




      WARNING:tensorflow:Failed to load partition graphs for device
      /job:localhost/replica:0/task:0/device:GPU:0 from disk.




      As a fallback, the client graphs will be used. This may cause mismatches in device names.



      This warning is given by: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/debug/lib/debug_data.py in 782-784 lines,



      How can I resolve it?
      I don't find other people who have the same question with me.










      share|improve this question









      New contributor




      Hao peng is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      When I run the tfdbg commmand, run -f has_inf_or_nan, I got a warning:




      WARNING:tensorflow:Failed to load partition graphs for device
      /job:localhost/replica:0/task:0/device:GPU:0 from disk.




      As a fallback, the client graphs will be used. This may cause mismatches in device names.



      This warning is given by: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/debug/lib/debug_data.py in 782-784 lines,



      How can I resolve it?
      I don't find other people who have the same question with me.







      python tensorflow






      share|improve this question









      New contributor




      Hao peng is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question









      New contributor




      Hao peng is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      share|improve this question




      share|improve this question








      edited Mar 7 at 10:29









      Tomka Koliada

      1,0621628




      1,0621628






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      asked Mar 7 at 7:48









      Hao pengHao peng

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      Hao peng is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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