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with tf.train.MonitoredTrainingSession:
if sess.should_stop():
tf_feed.terminate()
if is_chief:
signatures = {
tf.saved_model.signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY: {
'inputs': {'image': input_x},
'outputs': {'prediction': pred},
'method_name': tf.saved_model.signature_constants.PREDICT_METHOD_NAME
}
}
TFNode.export_saved_model(sess, args.serving,
tf.saved_model.tag_constants.SERVING,
signatures)
no error
log:
2018-07-02 11:53:54,523 INFO (MainThread-31539) No assets to save.
2018-07-02 11:53:54,523 INFO (MainThread-31539) No assets to write.
The program worked well and the training was complete
My guess is that the program ended too quickly to write data
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