convert tensorflow model to tensorboard logs

convert-tensorflow-model-to-tensorboard-logs.py

# last tested with tensorflow 2.1.0
import tensorflow as tf

LOG_DIR = 'logs'  # The path where you want to save tensorboard events

tf.compat.v1.disable_eager_execution()

with tf.compat.v1.Session() as sess:
    model_filename = 'frozen_inference_graph.pb' # your model path
    with tf.compat.v1.gfile.FastGFile(model_filename, 'rb') as f:
        graph_def = tf.compat.v1.GraphDef()
        graph_def.ParseFromString(f.read())
        g_in = tf.import_graph_def(graph_def)
train_writer = tf.compat.v1.summary.FileWriter(LOG_DIR)
train_writer.add_graph(sess.graph)