How to get the last global_step from an tf.estimator.Estimator

Question

How can I obtain the last global_step from a tf.estimator.Estimator after train(...) finishes? For instance, a typical Estimator-based training routine might be set up like this: n_epochs = 10 model_dir = '/path/to/model_dir'

def model_fn(features, labels, mode, params):
    # some code to build the model
    pass

def input_fn():
    ds = tf.data.Dataset()  # obviously with specifying a data source
    # manipulate the dataset
    return ds

run_config = tf.estimator.RunConfig(model_dir=model_dir)
estimator = tf.estimator.Estimator(model_fn=model_fn, config=run_config)

for epoch in range(n_epochs):
    estimator.train(input_fn=input_fn)
    # Now I want to do something which requires to know the last global step, how to get it?
    my_custom_eval_method(global_step)

Only the evaluate() method returns a dictionary containing the global_step as a field. How can I get the global_step, if for some reason, I can't have or don't want to use this method?

Answer 1

recently, I found estimator has the api get_variable_value

global_step = estimator.get_variable_value("global_step")