TensorFlow Estimator clear_deivces in exporters?












0















The S.O. question load SavedModel with different device placement explores how to use the Estimator API to save a model and load it on a different device.



According to several questions so far, once a model has been saved with a manual device placement, this is not feasible. However, according to @Yiding:




your question 1 can work only if you clear all devices when you export the model in the original tensorflow code, with flag clear_devices=True.




If we look at the TensorFlow docs for BestExporter



__init__(
name='best_exporter',
serving_input_receiver_fn=None,
event_file_pattern='eval/*.tfevents.*',
compare_fn=_loss_smaller,
assets_extra=None,
as_text=False,
exports_to_keep=5
)


it is apparent that clear_devices is not an option.



So how can I get around this?










share|improve this question



























    0















    The S.O. question load SavedModel with different device placement explores how to use the Estimator API to save a model and load it on a different device.



    According to several questions so far, once a model has been saved with a manual device placement, this is not feasible. However, according to @Yiding:




    your question 1 can work only if you clear all devices when you export the model in the original tensorflow code, with flag clear_devices=True.




    If we look at the TensorFlow docs for BestExporter



    __init__(
    name='best_exporter',
    serving_input_receiver_fn=None,
    event_file_pattern='eval/*.tfevents.*',
    compare_fn=_loss_smaller,
    assets_extra=None,
    as_text=False,
    exports_to_keep=5
    )


    it is apparent that clear_devices is not an option.



    So how can I get around this?










    share|improve this question

























      0












      0








      0








      The S.O. question load SavedModel with different device placement explores how to use the Estimator API to save a model and load it on a different device.



      According to several questions so far, once a model has been saved with a manual device placement, this is not feasible. However, according to @Yiding:




      your question 1 can work only if you clear all devices when you export the model in the original tensorflow code, with flag clear_devices=True.




      If we look at the TensorFlow docs for BestExporter



      __init__(
      name='best_exporter',
      serving_input_receiver_fn=None,
      event_file_pattern='eval/*.tfevents.*',
      compare_fn=_loss_smaller,
      assets_extra=None,
      as_text=False,
      exports_to_keep=5
      )


      it is apparent that clear_devices is not an option.



      So how can I get around this?










      share|improve this question














      The S.O. question load SavedModel with different device placement explores how to use the Estimator API to save a model and load it on a different device.



      According to several questions so far, once a model has been saved with a manual device placement, this is not feasible. However, according to @Yiding:




      your question 1 can work only if you clear all devices when you export the model in the original tensorflow code, with flag clear_devices=True.




      If we look at the TensorFlow docs for BestExporter



      __init__(
      name='best_exporter',
      serving_input_receiver_fn=None,
      event_file_pattern='eval/*.tfevents.*',
      compare_fn=_loss_smaller,
      assets_extra=None,
      as_text=False,
      exports_to_keep=5
      )


      it is apparent that clear_devices is not an option.



      So how can I get around this?







      python tensorflow export tensorflow-estimator






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 21 '18 at 10:09









      SumNeuronSumNeuron

      1,231826




      1,231826
























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