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Hello, have anyone known how to use the well-trained model to do some inference? I directly use tf.train.import_meta_graph and saver.restore to load the model and use the sess.run to the expected result. But when the program comes to the session.run, it jammed and could not get any result. I think it maybe relate to that the model don't have any placeholder. So I want to how to use the well-trained model to do inference? Thank you very much!
The text was updated successfully, but these errors were encountered:
Hello, I used tf.train.import_meta_graph to load the optimized TensorFlow meta graph, but there is a KeyError: The name 'XXX' refers to a Tensor which does not exist. The operation, 'XXX', does not exist in the graph. Did you have this problem? Or could you please let me know how you load the dataset? Looking forward to your reply sincerely.
Hello, have anyone known how to use the well-trained model to do some inference? I directly use tf.train.import_meta_graph and saver.restore to load the model and use the sess.run to the expected result. But when the program comes to the session.run, it jammed and could not get any result. I think it maybe relate to that the model don't have any placeholder. So I want to how to use the well-trained model to do inference? Thank you very much!
The text was updated successfully, but these errors were encountered: