Failed Tensorflow Lite conversion: Unsupported data type in placeholder op












0















System information:
Mac OS Mojave



TensorFlow installed from (source or binary):
pip install tensorflow



TensorFlow version (or github SHA if from source):
1.12



I am trying to convert a simple convolutional tensorflow model to tensorflow lite. I already have it in SavedModel format. But when I try to run the convert util on the saved model, I get:



RuntimeError: TOCO failed see console for info.
b"2018-12-30 15:40:54.449737: I tensorflow/contrib/lite/toco/import_tensorflow.cc:189] Unsupported data type in placeholder op: 2n2018-12-30 15:40:54.450020: F tensorflow/contrib/lite/toco/import_tensorflow.cc:2137] Check failed: status.ok() Unexpected value forattribute 'T'. Expected 'DT_FLOAT'n"



To save the model, I have:



// model is an Estimator instance
def export(model):
model.export_saved_model("tmp/export", serving_input_receiver_fn)



and:



def serving_input_receiver_fn():
features = { 'x': tf.placeholder(shape=[1, 100, 100, 1], dtype=tf.as_dtype(np.int32)) }
return tf.estimator.export.ServingInputReceiver(features, features)



Input dtype is np.int32, so I attempt to cast that to a tf type here.



I can attach the full model def on request.



Thanks.






tensorflow tensorflow-lite







share|improve this question



























    0















    System information:
    Mac OS Mojave



    TensorFlow installed from (source or binary):
    pip install tensorflow



    TensorFlow version (or github SHA if from source):
    1.12



    I am trying to convert a simple convolutional tensorflow model to tensorflow lite. I already have it in SavedModel format. But when I try to run the convert util on the saved model, I get:



    RuntimeError: TOCO failed see console for info.
    b"2018-12-30 15:40:54.449737: I tensorflow/contrib/lite/toco/import_tensorflow.cc:189] Unsupported data type in placeholder op: 2n2018-12-30 15:40:54.450020: F tensorflow/contrib/lite/toco/import_tensorflow.cc:2137] Check failed: status.ok() Unexpected value forattribute 'T'. Expected 'DT_FLOAT'n"



    To save the model, I have:



    // model is an Estimator instance
    def export(model):
    model.export_saved_model("tmp/export", serving_input_receiver_fn)



    and:



    def serving_input_receiver_fn():
    features = { 'x': tf.placeholder(shape=[1, 100, 100, 1], dtype=tf.as_dtype(np.int32)) }
    return tf.estimator.export.ServingInputReceiver(features, features)



    Input dtype is np.int32, so I attempt to cast that to a tf type here.



    I can attach the full model def on request.



    Thanks.






    tensorflow tensorflow-lite







    share|improve this question

























      0












      0








      0








      System information:
      Mac OS Mojave



      TensorFlow installed from (source or binary):
      pip install tensorflow



      TensorFlow version (or github SHA if from source):
      1.12



      I am trying to convert a simple convolutional tensorflow model to tensorflow lite. I already have it in SavedModel format. But when I try to run the convert util on the saved model, I get:



      RuntimeError: TOCO failed see console for info.
      b"2018-12-30 15:40:54.449737: I tensorflow/contrib/lite/toco/import_tensorflow.cc:189] Unsupported data type in placeholder op: 2n2018-12-30 15:40:54.450020: F tensorflow/contrib/lite/toco/import_tensorflow.cc:2137] Check failed: status.ok() Unexpected value forattribute 'T'. Expected 'DT_FLOAT'n"



      To save the model, I have:



      // model is an Estimator instance
      def export(model):
      model.export_saved_model("tmp/export", serving_input_receiver_fn)



      and:



      def serving_input_receiver_fn():
      features = { 'x': tf.placeholder(shape=[1, 100, 100, 1], dtype=tf.as_dtype(np.int32)) }
      return tf.estimator.export.ServingInputReceiver(features, features)



      Input dtype is np.int32, so I attempt to cast that to a tf type here.



      I can attach the full model def on request.



      Thanks.






      tensorflow tensorflow-lite







      share|improve this question














      System information:
      Mac OS Mojave



      TensorFlow installed from (source or binary):
      pip install tensorflow



      TensorFlow version (or github SHA if from source):
      1.12



      I am trying to convert a simple convolutional tensorflow model to tensorflow lite. I already have it in SavedModel format. But when I try to run the convert util on the saved model, I get:



      RuntimeError: TOCO failed see console for info.
      b"2018-12-30 15:40:54.449737: I tensorflow/contrib/lite/toco/import_tensorflow.cc:189] Unsupported data type in placeholder op: 2n2018-12-30 15:40:54.450020: F tensorflow/contrib/lite/toco/import_tensorflow.cc:2137] Check failed: status.ok() Unexpected value forattribute 'T'. Expected 'DT_FLOAT'n"



      To save the model, I have:



      // model is an Estimator instance
      def export(model):
      model.export_saved_model("tmp/export", serving_input_receiver_fn)



      and:



      def serving_input_receiver_fn():
      features = { 'x': tf.placeholder(shape=[1, 100, 100, 1], dtype=tf.as_dtype(np.int32)) }
      return tf.estimator.export.ServingInputReceiver(features, features)



      Input dtype is np.int32, so I attempt to cast that to a tf type here.



      I can attach the full model def on request.



      Thanks.






      tensorflow tensorflow-lite




      tensorflow tensorflow-lite






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Jan 2 at 5:44









      twalk4821twalk4821

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          The solution to this was not in the placeholder op itself, but in the model declaration. I was using a float64 input type. Switching to float32, and setting dtype=float32 in the placeholder, solved my issue.






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            The solution to this was not in the placeholder op itself, but in the model declaration. I was using a float64 input type. Switching to float32, and setting dtype=float32 in the placeholder, solved my issue.






            share|improve this answer




























              0














              The solution to this was not in the placeholder op itself, but in the model declaration. I was using a float64 input type. Switching to float32, and setting dtype=float32 in the placeholder, solved my issue.






              share|improve this answer


























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                0







                The solution to this was not in the placeholder op itself, but in the model declaration. I was using a float64 input type. Switching to float32, and setting dtype=float32 in the placeholder, solved my issue.






                share|improve this answer













                The solution to this was not in the placeholder op itself, but in the model declaration. I was using a float64 input type. Switching to float32, and setting dtype=float32 in the placeholder, solved my issue.







                share|improve this answer












                share|improve this answer



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                answered Jan 6 at 4:15









                twalk4821twalk4821

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