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Freeze and export Tensorflow graph from checkpoint files
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import os, argparse | |
import tensorflow as tf | |
from tensorflow.python.framework import graph_util | |
dir = os.path.dirname(os.path.realpath(__file__)) | |
def freeze_graph(model_folder, output_nodes='y_hat', | |
output_filename='frozen-graph.pb', | |
rename_outputs=None): | |
#Load checkpoint | |
checkpoint = tf.train.get_checkpoint_state(model_folder) | |
input_checkpoint = checkpoint.model_checkpoint_path | |
output_graph = output_filename | |
#Devices should be cleared to allow Tensorflow to control placement of | |
#graph when loading on different machines | |
saver = tf.train.import_meta_graph(input_checkpoint + '.meta', | |
clear_devices=True) | |
graph = tf.get_default_graph() | |
onames = output_nodes.split(',') | |
#https://stackoverflow.com/a/34399966/4190475 | |
if rename_outputs is not None: | |
nnames = rename_outputs.split(',') | |
with graph.as_default(): | |
for o, n in zip(onames, nnames): | |
_out = tf.identity(graph.get_tensor_by_name(o+':0'), name=n) | |
onames=nnames | |
input_graph_def = graph.as_graph_def() | |
# fix batch norm nodes | |
for node in input_graph_def.node: | |
if node.op == 'RefSwitch': | |
node.op = 'Switch' | |
for index in xrange(len(node.input)): | |
if 'moving_' in node.input[index]: | |
node.input[index] = node.input[index] + '/read' | |
elif node.op == 'AssignSub': | |
node.op = 'Sub' | |
if 'use_locking' in node.attr: del node.attr['use_locking'] | |
with tf.Session(graph=graph) as sess: | |
saver.restore(sess, input_checkpoint) | |
# In production, graph weights no longer need to be updated | |
# graph_util provides utility to change all variables to constants | |
output_graph_def = graph_util.convert_variables_to_constants( | |
sess, input_graph_def, | |
onames # unrelated nodes will be discarded | |
) | |
# Serialize and write to file | |
with tf.gfile.GFile(output_graph, "wb") as f: | |
f.write(output_graph_def.SerializeToString()) | |
print("%d ops in the final graph." % len(output_graph_def.node)) | |
if __name__ == '__main__': | |
parser = argparse.ArgumentParser( | |
description='Prune and freeze weights from checkpoints into production models') | |
parser.add_argument("--checkpoint_path", | |
default='ckpt', | |
type=str, help="Path to checkpoint files") | |
parser.add_argument("--output_nodes", | |
default='y_hat', | |
type=str, help="Names of output node, comma seperated") | |
parser.add_argument("--output_graph", | |
default='frozen-graph.pb', | |
type=str, help="Output graph filename") | |
parser.add_argument("--rename_outputs", | |
default=None, | |
type=str, help="Rename output nodes for better \ | |
readability in production graph, to be specified in \ | |
the same order as output_nodes") | |
args = parser.parse_args() | |
freeze_graph(args.checkpoint_path, args.output_nodes, args.output_graph, args.rename_outputs) |
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hi...thanks alot for sharing your code.
please explain for me about parameter output_nodes... I run this code for convert the checkpoint (.meta , .index ) model... but I see The error like:
please help me how I find the output_nodes??