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Minimal code to load a trained TensorFlow model from a checkpoint and export it with SavedModelBuilder
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import os | |
import tensorflow as tf | |
trained_checkpoint_prefix = 'checkpoints/dev' | |
export_dir = os.path.join('models', '0') # IMPORTANT: each model folder must be named '0', '1', ... Otherwise it will fail! | |
loaded_graph = tf.Graph() | |
with tf.Session(graph=loaded_graph) as sess: | |
# Restore from checkpoint | |
loader = tf.train.import_meta_graph(trained_checkpoint_prefix + '.meta') | |
loader.restore(sess, trained_checkpoint_prefix) | |
# Export checkpoint to SavedModel | |
builder = tf.saved_model.builder.SavedModelBuilder(export_dir) | |
builder.add_meta_graph_and_variables(sess, | |
[tf.saved_model.tag_constants.TRAINING, tf.saved_model.tag_constants.SERVING], | |
strip_default_attrs=True) | |
builder.save() |
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