TF Serving blog post: creating and saving TF estimator object

TF_servingPost_export_estimator.py

# Define a place to save your compiled model
export_dir = '/path/to/my_exported_models/001'

# Define a path to your trained keras model and load it in as a `tf.keras.models.Model`
# If you just trained your model, you may already have it in memory and can skip the below 2 lines
model_save_fpath = '/path/to/my_model.h5'
keras_model = tf.keras.models.load_model(model_save_fpath)

# Create an Estimator object
estimator_save_dir = '/path/to/save/estimator'
estimator = tf.keras.estimator.model_to_estimator(keras_model=keras_model,
                                                  model_dir=estimator_save_dir)