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I am doing transfer learning in tensorflow with vgg16. I am only training one small layer on top of the 500MB of weights that I got from the numpy npz file on that website. When I save my model, I am specifying just the weights I am training, so the model file is small - however the meta file is 500MB. From reading stackoverflow: what-is-the-tensorflow-checkpoint-meta-file it sounds safe to remove the meta files, but can I configure tensorflow to not write them?

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MrCartoonology
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1 Answers1

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You could try the tf.train.Saver.save with the optional write_meta_graph=False param.

https://www.tensorflow.org/versions/r0.11/api_docs/python/state_ops.html#Saver

Shan Carter
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