keras.models.save_model 中的 saved_model.pb 是否与 tensorflow freeze_graph output.pb 文件相同？

Question

After a model is trained in keras, I used to apply tf.compat.v1.graph_util.convert_variables_to_constants or freeze_graph.py to freeze model and output .pb file. Like this:

output_graph_def = tf.compat.v1.graph_util.convert_variables_to_constants(sess, input_graph_def, output_node_names)
with tf.gfile.GFile('model.pb', "wb") as f:  
    f.write(output_graph_def.SerializeToString())

Recently, I find tf.compat.v1.graph_util.convert_variables_to_constants is labeled with: Warning: THIS FUNCTION IS DEPRECATED .

So I'm looking for a updated method of generate .pb file. I find this: keras.models.save_model() to save model and output dir contains:

assets saved_model.pb variables

I'm not sure if this saved_model.pb is the same with output .pb file of tf.compat.v1.graph_util.convert_variables_to_constants ?

If not, could someone recommed a better way to get frozen model (.pb) file?

Thanks.

Answer 1

I have confirmed they are not the same.pb file. If you load and run SavedModel format, you'll get error: Data loss: Can't parse testmodel/saved_model.pb as binary proto