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Script to convert Keras models to TensorFlow Serving SavedModel format
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import tensorflow as tf | |
# The export path contains the name and the version of the model | |
tf.keras.backend.set_learning_phase(0) # Ignore dropout at inference | |
model = tf.keras.models.load_model('./inception.h5') | |
export_path = '../my_image_classifier/1' | |
# Fetch the Keras session and save the model | |
# The signature definition is defined by the input and output tensors | |
# And stored with the default serving key | |
with tf.keras.backend.get_session() as sess: | |
tf.saved_model.simple_save( | |
sess, | |
export_path, | |
inputs={'input_image': model.input}, | |
outputs={t.name: t for t in model.outputs}) |
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