following https://github.com/GoogleCloudPlatform/cloudml-samples/blob/master/census/keras/trainer/model.py#L83

error.py

import tensorflow as tf
from keras import backend as K
from tensorflow.python.saved_model import builder as saved_model_builder
from tensorflow.python.saved_model import tag_constants, signature_constants
from tensorflow.python.saved_model.signature_def_utils_impl import predict_signature_def

builder = saved_model_builder.SavedModelBuilder('vgg16_no_augmentation_export')

signature = predict_signature_def(inputs={'input': parallel_model.inputs[0]},
                                    outputs={'income': parallel_model.outputs[0]})

with K.get_session() as sess:
    builder.add_meta_graph_and_variables(
        sess=sess,
        tags=[tag_constants.SERVING],
        signature_def_map={
             signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY: signature}
        )
    builder.save()

error.sh

attempting to create this model

$ gcloud ml-engine versions create v2 --model=plantDisease01 --origin=gs://${BUCKET_NAME}/plantDisease01 --runtime-version=1.4                                                      
Creating version (this might take a few minutes)......failed.                             
ERROR: (gcloud.ml-engine.versions.create) Bad model detected with error:  "Failed to load model: Loading servable: {name: default version: 1} failed: Not found: Op type not registered 'ClipByValue' in binary running on localhost. Make sure the Op and Kernel are registered
in the binary running in this process.\n\n (Error code: 0)"         

log.txt

INFO:tensorflow:No assets to save.
INFO:tensorflow:No assets to write.
INFO:tensorflow:SavedModel written to: b'vgg16_no_augmentation_export/saved_model.pb'