if you just want to take a look at the graph you could simply import the graph of the trained model and use the filewriter to create a log dir. E.g.,
g = tf.Graph()
with g.as_default() as g:
tf.train.import_meta_graph('my-model.meta')
with tf.Session(graph=g) as sess:
file_writer = tf.summary.FileWriter(logdir='logs/my-model', graph=g)
Not sure what information is contained in the checkpoint files though, and if it's possible to visualize other stats that may have been created during training like via tf.summary.scalar or tf.summary.histogram if you don't have access to the "logdir."
Best,
Sebastian
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