How To Restore Tensorflow V1.1.0 Saved Model In V1.13.1

I'm trying to restore the pretrained model provided here and continue training on a different dataset. The pretrained models available there are trained on tensorflow_gpu-1.1.0. Bu

Solution 1:

I am really not sure if it is possible to port a model but I will try to share how I solved this issue.

First off, you should be able to create whole graph independent of the TensorFlow version. If any error occurs there it should be a minimal one. Then, you can simply copy all variables from your old model to the new one with:

RESTORE_VARS_BLACKLIST = ['dont', 'load', 'this']
ckpt_vars = tf.train.list_variables(RESTORE_VARS_CKPT)
ass_ops = []
for dst_var in tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES):
    for (ckpt_var, ckpt_shape) in ckpt_vars:
        if dst_var.name.split(":")[0] == ckpt_var and dst_var.shape == ckpt_shape and ckpt_var not in RESTORE_VARS_BLACKLIST:
            value = tf.train.load_variable(RESTORE_VARS_CKPT, ckpt_var)
            ass_ops.append(tf.assign(dst_var, value))
# Run assign in a session
sess.run(ass_ops)

At the end, just save your new model.