tf.contrib.framework.assign_from_checkpoint_fn(model_path, var_list, ignore_missing_vars=False, reshape_variables=False)
See the guide: Framework (contrib) > Variables
Returns a function that assigns specific variables from a checkpoint.
model_path: The full path to the model checkpoint. To get latest checkpoint use
model_path = tf.train.latest_checkpoint(checkpoint_dir)
var_list: A list of
Variableobjects or a dictionary mapping names in the checkpoint to the correspoing variables to initialize. If empty or None, it would return no_op(), None.
ignore_missing_vars: Boolean, if True it would ignore variables missing in the checkpoint with a warning instead of failing.
reshape_variables: Boolean, if True it would automatically reshape variables which are of different shape then the ones stored in the checkpoint but which have the same number of elements.
A function that takes a single argument, a
tf.Session, that applies the
ValueError: If the checkpoint specified at
model_pathis missing one of the variables in